{"meta": {"limit": 0, "offset": 0, "total_count": 805}, "objects": [{"abstract": "Large marine ecosystems (LMEs) are regions of the world's oceans, encompassing coastal areas from river basins and estuaries to the seaward boundaries of continental shelves and the outer margins of the major ocean current systems. They are relatively large regions on the order of 200,000 km² or greater, characterized by distinct bathymetry, hydrography, productivity, and trophically dependent populations. Productivity in LME protected areas is generally higher than in the open ocean. Oceanographers and biologists have identified 66 LMEs worldwide. \r\nData Source: \r\n http://onesharedocean.org/data#388", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-85.4702835081", "bbox_y1": "89.9999999997", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000079 -85.4702835081022,-180.000000000079 89.9999999996609,179.999999999874 89.9999999996609,179.999999999874 -85.4702835081022,-180.000000000079 -85.4702835081022))", "date": "2020-07-13T11:17:00", "detail_url": "/layers/geonode:lmes", "id": 4605, "owner__username": "iwlearnkcgudcz", "popular_count": 3139, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5d4e557e-c524-11ea-8d7d-000d3ab6a624-thumb.png", "title": "Global Large Marine Ecosystems", "uuid": "5d4e557e-c524-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer purpose is to support UNDP's work on LME's.\r\n\r\nLayer data sources:\r\n- https://www.marineregions.org/gazetteer.php?p=details&id=4344\r\n\r\n", "bbox_x0": "122.8523209770", "bbox_x1": "142.1992932562", "bbox_y0": "-18.0067522528", "bbox_y1": "-2.9026576283", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((122.852320976966 -18.0067522528142,122.852320976966 -2.9026576283468,142.199293256179 -2.9026576283468,142.199293256179 -18.0067522528142,122.852320976966 -18.0067522528142))", "date": "2020-07-09T16:14:00", "detail_url": "/layers/geonode:selected_seas", "id": 4601, "owner__username": "iwlearnkcgudcz", "popular_count": 981, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1bf1b0b0-c229-11ea-8d7d-000d3ab6a624-thumb.png", "title": "Selected Seas for UNDP-GEF IW Projects", "uuid": "1bf1b0b0-c229-11ea-8d7d-000d3ab6a624"}, {"abstract": "Western Pacific Warm Pool Marine ecoregion (Ecological geography of the Sea [Longhurst, 1998])\r\n\r\nLayer data sources:\r\n- https://www.marineregions.org/gazetteer.php?p=details&id=21490", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-15.5000000000", "bbox_y1": "12.5000000000", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -15.4999999999999,-180.0 12.5000000000001,180.0 12.5000000000001,180.0 -15.4999999999999,-180.0 -15.4999999999999))", "date": "2020-07-03T15:06:00", "detail_url": "/layers/geonode:warmpool_1", "id": 4598, "owner__username": "iwlearnkcgudcz", "popular_count": 873, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a5c1889e-bd68-11ea-8d7d-000d3ab6a624-thumb.png", "title": "Western Pacific Warm Pool Marine Region", "uuid": "a5c1889e-bd68-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer purpose is to support UNDP's work on LME's. \r\n\r\nLayer data sources:\r\n- http://onesharedocean.org/data#460", "bbox_x0": "-115.5743103028", "bbox_x1": "128.2995758060", "bbox_y0": "-57.5120506286", "bbox_y1": "47.2852706904", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-115.574310302778 -57.5120506286336,-115.574310302778 47.2852706903901,128.299575805979 47.2852706903901,128.299575805979 -57.5120506286336,-115.574310302778 -57.5120506286336))", "date": "2020-07-03T15:03:00", "detail_url": "/layers/geonode:selected_lmes", "id": 4596, "owner__username": "iwlearnkcgudcz", "popular_count": 799, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3de65902-bd68-11ea-8d7d-000d3ab6a624-thumb.png", "title": "Selected LMEs for UNDP-GEF IW Projects", "uuid": "3de65902-bd68-11ea-8d7d-000d3ab6a624"}, {"abstract": "SOURCE: https://www.wri.org/resources/data-sets/achieving-abundance\r\n\r\nPopulation and economic growth, as well as climate change, have pushed water crises to the top of the global agenda. Given the scale of the issues, delivering sustainable water management required rapid mobilization of funding for water-related improvements and more effective use of existing resources. The Achieving Abundance Working Paper proposes a method whereby any decision-maker can calculate the cost required to deliver sustainable water management to a geography.\r\n\r\nThis dataset calculates the cost of action required to close the gap between current conditions and desired conditions to financially compare and prioritize water-related challenges or different targets of Sustainable Development Goal 6. The data estimate the costs of delivering sustainable water management for all countries and major basins around the world.", "bbox_x0": "-179.9999885410", "bbox_x1": "179.9999885410", "bbox_y0": "-55.9022268470", "bbox_y1": "83.1138731590", "category__gn_description": "Economy", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.999988541 -55.902226847,-179.999988541 83.113873159,179.999988541 83.113873159,179.999988541 -55.902226847,-179.999988541 -55.902226847))", "date": "2020-07-01T17:14:00", "detail_url": "/layers/geonode:wri", "id": 4587, "owner__username": "iwlearnkcgudcz", "popular_count": 502, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-372f8ea2-bbe8-11ea-8d7d-000d3ab6a624-thumb.png", "title": "Achieving Abundance: Understanding the Cost of a Sustainable Water Future Data", "uuid": "372f8ea2-bbe8-11ea-8d7d-000d3ab6a624"}, {"abstract": "Definition:\r\nThe Ocean Health Index is comprised of 10 publically-held values and goals for healthy and vibrant marine ecosystems, with health defined as the sustainable delivery of the full range of benefits to people now and in the future.\r\n\r\nModule: Ecosystem Health\r\n\r\nCategory: Ecosystem health state indicator (level 1)\r\n\r\nUnit: Scores scaled 0 to 100, with 100 being defined as the optimal, fully-sustainable level of delivery of each goal.\r\n\r\nRationale for inclusion:\r\nThe condition, or health, of marine systems is most often defined by policy and stakeholder groups as the status of socio-ecological coupled systems. As such, one needs a comprehensive measure that captures the full range of issues and values that define these coupled systems, and that provides those measures in a quantitative, transparent and repeatable manner.\r\n\r\nInterlinkages with other transboundary water systems: This indicator is assessed for both LME and Open Ocean systems.\r\n\r\nMeasurement methods and calculation:\r\nThe downloadable dataset provides all input data for measures of status, pressures and resilience for each of 10 different goals for healthy oceans, as well as results by goal and overall Index for each LME and high seas region. LME scores are the area-weight average of component EEZ scores.\r\n\r\nScale:\r\nNational scale and high seas regions; was reported at LME scale by area-weighted component EEZ scores.\r\n\r\nData sources:\r\nSee www.ohi-science.org\r\n\r\nAgencies & contacts:\r\nNational Center for Ecological Analysis and Synthesis Center for Marine Assessment and Planning Conservation International\r\n\r\nReferences:\r\nHalpern et al. 2012. An index to assess the health and benefits of the global ocean. Nature 488: 952-961. Halpern et al. in review. Patterns and emerging trends in global ocean health. PLoS One.\r\n\r\nOcean Health Index List of goals and subgoals:\r\nThese are 10 services that oceans provide that are important to humans. Four of the goals (biodiversity, livelihoods and economies, food provision and sense of place) are comprised of 2 subgoals.\r\n\r\nGoal/subgoal - Name\r\nAO - Artisanal Opportunities score (goal)\r\nSPP - Species score (sub-goal of Biodiversity)\r\nBD - Biodiversity score (goal)\r\nHAB - Habitats score (sub-goal of Biodiversity)\r\nCP - Coastal Protection score (goal)\r\nCS - Carbon Storage score (goal)\r\nCW - Clean Waters score (goal)\r\nECO - Economies score (sub-goal of Livelihoods & Economies)\r\nLE - Livelihoods & Economies score (goal)\r\nLIV - Livelihoods score (sub-goal of Livelihoods & Economies)\r\nFIS - Wild-caught Fisheries score (sub-goal of Food Provision)\r\nFP - Food Provision score (goal)\r\nMAR - Mariculture score (sub-goal of Food Provision)\r\nICO - Iconic Species score (sub-goal of Sense of Place)\r\nSP - Sense of Place score (goal)\r\nLSP - Lasting Special Places score (sub-goal of Sense of Place)\r\nNP - Natural Products score (goal)\r\nTR - Tourism & Recreation score (goal)", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-85.4702835081", "bbox_y1": "89.9999999997", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000079 -85.4702835081022,-180.000000000079 89.9999999996609,179.999999999874 89.9999999996609,179.999999999874 -85.4702835081022,-180.000000000079 -85.4702835081022))", "date": "2020-06-12T16:29:00", "detail_url": "/layers/geonode:lmes_ohi_subgoals_1", "id": 4585, "owner__username": "kcgudcz", "popular_count": 1744, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c483f7d8-acf3-11ea-8d7d-000d3ab6a624-thumb.png", "title": "2019 Global Ocean Health Index Score", "uuid": "c483f7d8-acf3-11ea-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-25.3604223300", "bbox_x1": "63.4939070970", "bbox_y0": "-46.9657528630", "bbox_y1": "37.3452009140", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-25.3604223299999 -46.965752863,-25.3604223299999 37.3452009140002,63.493907097 37.3452009140002,63.493907097 -46.965752863,-25.3604223299999 -46.965752863))", "date": "2019-07-04T03:25:00", "detail_url": "/layers/geonode:africa_base", "id": 4534, "owner__username": "gridanode", "popular_count": 848, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:africa_base&format=image/png8&height=150&width=200&bbox=-25.3604223299999,-46.965752863,63.493907097,37.3452009140002&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "africa_base", "uuid": "3f7271fa-9e35-11e9-8d7d-000d3ab6a624"}, {"abstract": "This file contains the 46 World Marine Heritage Sites. Launched in 2005, the mission of the world Heritage Marine Programme is to establish effective conservation of existing and potential marine areas of Outstanding Universal Value to make sure they will be maintained and thrive for generations to come.\r\nIn order to create the data, information from the UNESCO World Heritage Marine Programme and Protected Planet were collected and compiled.", "bbox_x0": "-179.9999694824", "bbox_x1": "179.9999694824", "bbox_y0": "-55.0003890991", "bbox_y1": "71.8058319092", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.999969482 -55.0003890991,-179.999969482 71.8058319092,179.999969482 71.8058319092,179.999969482 -55.0003890991,-179.999969482 -55.0003890991))", "date": "2019-07-02T18:38:50.345685", "detail_url": "/layers/Marine_Regions_web_services:worldheritagemarineprogramme", "id": 4530, "owner__username": "gridanode", "popular_count": 1152, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8b52ec12-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "World Marine Heritage Sites", "uuid": "8b52ec12-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset is the World Countries 2014 database from ESRI (data from DeLorme, 2014), slightly adapted to be consistent with the Maritime Boundaries v10 dataset (Flanders Marine Institute, 2018). Changes to the original World Countries database include adding ISO 3 digit country codes and making these consistent with the EEZs and adding the Western Sahara and Hala'ib Triangle.\r\n\r\nThe original World Countries database is redistributable with proper metadata and source/copyright attribution (esri.com). \r\nThe Maritime Boundaries dataset is available under a CC BY-NC-SA license at http://marineregions.org", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000030518", "bbox_y0": "-90.8683242798", "bbox_y1": "84.5338211060", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -90.8683242798,-181.800003052 84.533821106,181.800003052 84.533821106,181.800003052 -90.8683242798,-181.800003052 -90.8683242798))", "date": "2019-07-02T18:38:49.834617", "detail_url": "/layers/Marine_Regions_web_services:worldcountries_esri_2014", "id": 4529, "owner__username": "gridanode", "popular_count": 2811, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8a21e553-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "World countries (ESRI, 2014)", "uuid": "8a21e553-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-164.8807947632", "bbox_x1": "175.6639691592", "bbox_y0": "-43.5730568169", "bbox_y1": "63.2619590763", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-164.880794763 -43.5730568169,-164.880794763 63.2619590763,175.663969159 63.2619590763,175.663969159 -43.5730568169,-164.880794763 -43.5730568169))", "date": "2019-07-02T18:38:49.360112", "detail_url": "/layers/Marine_Regions_web_services:world_estuary_delta", "id": 4528, "owner__username": "gridanode", "popular_count": 977, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8a21e552-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "world_estuary_delta", "uuid": "8a21e552-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Coastlines extracted from ESRI Countries 2015.", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000030518", "bbox_y0": "-90.8683242798", "bbox_y1": "84.5338211060", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -90.8683242798,-181.800003052 84.533821106,181.800003052 84.533821106,181.800003052 -90.8683242798,-181.800003052 -90.8683242798))", "date": "2019-07-02T18:38:48.808565", "detail_url": "/layers/Marine_Regions_web_services:world_countries_coasts", "id": 4527, "owner__username": "gridanode", "popular_count": 1273, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8a21e551-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "World Countries Coasts", "uuid": "8a21e551-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Created by VLIZ (2015)", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000030518", "bbox_y0": "-76.2468948364", "bbox_y1": "83.0441513062", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -76.2468948364,-181.800003052 83.0441513062,181.800003052 83.0441513062,181.800003052 -76.2468948364,-181.800003052 -76.2468948364))", "date": "2019-07-02T18:38:48.346593", "detail_url": "/layers/Marine_Regions_web_services:world_bay_gulf", "id": 4526, "owner__username": "gridanode", "popular_count": 1414, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8a21e550-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "World Bays, Gulfs, Lagoons, Inlets, Coves, Fjords, Creeks, ....", "uuid": "8a21e550-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "SeaVoX is a combined SeaDataNet and MarineXML vocabulary content governance group, it is moderated by BODC (https://www.bodc.ac.uk/data/codes_and_formats/seavox/). This polygon data set defines the geographic extent of the terms specified by the SeaVoX vocabulary governance to describe coherent regions of the hydrosphere. It includes land masses enclosing freshwater bodies. The coastline data set used in the shapefile is taken from the World Vector Shoreline data set (scale 1:250,000). Reference for the data set: \"polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.ndg.nerc.ac.uk/list/C19/current/\" The data file follows a hierarchical structure with each region consisting of one or more polygons. This approach was adopted to avoid the need to have overlapping polygons in regions where a sea area included a number of sub-regions, for example the Mediterranean Sea includes the Aegean Sea, Ionian Sea etc. The following gives the level in the structure at which particular regions, which consist of more than one polygon can be found. This level in the structure is given by the polygon's attributes. Attribute: REGION: ARCTIC OCEAN, ATLANTIC OCEAN,BALTIC SEA,INDIAN OCEAN,MEDITERRANEAN REGION,PACIFIC OCEAN,SOUTH CHINA AND EASTERN ARCHIPELAGIC SEAS,SOUTHERN OCEAN,MAINLAND NORTH AMERICAMAINLAND,EUROPE,MAINLAND ASIA Attribute: LEVEL_1:ARAFURA SEA,DAVIS SEA,GREENLAND SEA,GULF OF BOTHNIA,MEDITERRANEAN SEA,NORTH ATLANTIC OCEAN,NORTH PACIFIC OCEAN,ROSS SEA,SOUTH ATLANTIC OCEAN,SOUTH PACIFIC OCEAN,TIMOR SEA, LAURENTIAN GREAT LAKED Attribute: LEVEL_2:MEDITERRANEAN SEA, WESTERN BASIN,MEDITERRANEAN SEA,EASTERN BASIN,NORTHEAST ATLANTIC OCEAN (40W),NORTHEAST PACIFIC OCEAN (180W),NORTHWEST ATLANTIC OCEAN (40W),NORTHWEST PACIFIC OCEAN (180W),SOUTHEAST ATLANTIC OCEAN (20W),SOUTHEAST PACIFIC OCEAN (140W),SOUTHWEST ATLANTIC OCEAN (20W),SOUTHWEST PACIFIC OCEAN (140W) LAKE ERIE, LAKE SUPERIOR, DETROIT RIVER, ST. CLAIR RIVER, LAKE ST. CLAIR, NIAGARA RIVER, LAKE HURON, LAKE ONTARIO, LAKE MICHIGAN, ST. MARYS RIVER Attribute: LEVEL_3:BERING SEA,CORAL SEA,ENGLISH CHANNEL,JAPAN SEA,NORTH SEA,TASMAN SEA,YELLOW SEA Attribute: LEVEL_4:CARDIGAN BAY,DOVER STRAIT,FIRTH OF CLYDE,LIVERPOOL BAY,NORTH CHANNEL,POOLE BAY,SOLENT,SOLWAY FIRTH Attribute: SUB_REGION:This is the lowest level in the structure. This version of the shapefile corresponds to version 16of the SeaVoX Salt and Fresh Water Body Gazetteer. This version includes the following updates:Inclsuion of sub-divisions of the Laurentian Great Lakes in North America. Changes made in version 14:1. Joseph Bonaparte Gulf was incorrectly spelt in version 13 of C19, this has now been corrected. It was correctly spelt in version 13 of the SeaVoX Salt and Fresh Water BodyGazetteer Shapefile data set.2. An additional attribute field 'skos_url' has been added to the shapefile. This provides the web address of the definition of the individual sea areas from the SeaVoX salt and fresh water body gazeteer (http://vocab.nerc.ac.uk/collection/C19/current/).3. Addition of a missing section of the polygon for the Bering Sea region (around 175E, 58N).4. Change of following names:‘Mainland Europe’ changed to ‘European Mainland’‘Mainland Asia’ changed to ‘Asian Mainland’‘Mainland North America’ changed to ‘North America Mainland’‘St Brides Bay’ changed to ‘St. Brides Bay’‘St George’s Channel’ changed to ‘St. George’s Channel’‘St Magnus Bay’ changed to ‘St. Magnus Bay’Changes made in version 13: 1. Inclusion of the FRAM STRAITChanges made in version 12: 1. Bellingshausen Sea was wrongly labelled as Bellinghausen Sea in previous versions of the data set. This has now been corrected.2. A section of the Chukchi Sea, in the area 179 degress 20 minutes East; 70 degrees 3 minutes North, was missing in version 11 of the data set. This has been corrected.\r\n\r\nCredits\r\n\r\nPolygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.ndg.nerc.ac.uk/list/C19/current/\r\n\r\nUse limitations\r\n\r\nThe source of the data set should be attributed as: \"polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.ndg.nerc.ac.uk/list/C19/current/\"", "bbox_x0": "-181.8002014160", "bbox_x1": "181.8000183105", "bbox_y0": "-79.4131317139", "bbox_y1": "90.8429107666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800201416 -79.4131317139,-181.800201416 90.8429107666,181.800018311 90.8429107666,181.800018311 -79.4131317139,-181.800201416 -79.4131317139))", "date": "2019-07-02T18:38:47.549122", "detail_url": "/layers/Marine_Regions_web_services:seavox_v16", "id": 4525, "owner__username": "gridanode", "popular_count": 2564, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-88cb2f61-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SeaVoX - Sea Areas Polygons (v16, 2015)", "uuid": "88cb2f61-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Shapefile created based on the outer en inner boundary of the OSPAR maritime area. Both shapefiles were downloaded from the OSPAR website and merged into 1 file (2014-04-25).\r\nThe coastline used is EEA coastline for analysis (line) - version 1.0, Jun. 2013 from the European Environment Agency.", "bbox_x0": "-44.1991769995", "bbox_x1": "51.0000830649", "bbox_y0": "36.0000000000", "bbox_y1": "89.9999942353", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-44.1991769995 36.0,-44.1991769995 89.9999942353,51.0000830649 89.9999942353,51.0000830649 36.0,-44.1991769995 36.0))", "date": "2019-07-02T18:38:47.090052", "detail_url": "/layers/Marine_Regions_web_services:ospar_regions", "id": 4524, "owner__username": "gridanode", "popular_count": 1262, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-88cb2f60-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "OSPAR Regions (North-East Atlantic, 2014)", "uuid": "88cb2f60-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "A shapefile containing the external boundary and internal region boundary lines to describe the OSPAR area.", "bbox_x0": "-44.0001449585", "bbox_x1": "51.0000038147", "bbox_y0": "36.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-44.0001449585 36.0,-44.0001449585 90.0,51.0000038147 90.0,51.0000038147 36.0,-44.0001449585 36.0))", "date": "2019-07-02T18:38:46.608263", "detail_url": "/layers/Marine_Regions_web_services:ospar_boundaries", "id": 4523, "owner__username": "gridanode", "popular_count": 1028, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-88cb2f5f-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "OSPAR Boundaries", "uuid": "88cb2f5f-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer represents oceans, bays, lagoons, and estuaries in and near the United States and Canada. \r\n\r\nSource: ESRI\r\nhttp://www.esri.com/~/media/Files/Pdfs/legal/pdfs/redist_rights_10.1.pdf", "bbox_x0": "-179.8719787598", "bbox_x1": "-50.4126281738", "bbox_y0": "17.4917068481", "bbox_y1": "86.1316146851", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.87197876 17.4917068481,-179.87197876 86.1316146851,-50.4126281738 86.1316146851,-50.4126281738 17.4917068481,-179.87197876 17.4917068481))", "date": "2019-07-02T18:38:46.100580", "detail_url": "/layers/Marine_Regions_web_services:na_coastalwaterbodies", "id": 4522, "owner__username": "gridanode", "popular_count": 1572, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-88cb2f5e-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "North America Coastal Water Bodies", "uuid": "88cb2f5e-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-25.2780513763", "bbox_x1": "3.5412197113", "bbox_y0": "47.3531379700", "bbox_y1": "63.9693298340", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-25.2780513763 47.35313797,-25.2780513763 63.969329834,3.5412197113 63.969329834,3.5412197113 47.35313797,-25.2780513763 47.35313797))", "date": "2019-07-02T18:38:45.644325", "detail_url": "/layers/Marine_Regions_web_services:mra_uk_blocks", "id": 4521, "owner__username": "gridanode", "popular_count": 1127, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-87995e33-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "United Kingdom Mineral Rights Areas (blocks)", "uuid": "87995e33-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "A global biogeographic classification of the mesopelagic zone to reflect the regional scales over which the ocean interior varies in terms of biodiversity and function. \r\nDeveloped by Tracey T.Sutton et al. \r\nMore information: https://www.sciencedirect.com/science/article/pii/S0967063717301437", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000183105", "bbox_y0": "-79.4973602295", "bbox_y1": "90.8432693481", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -79.4973602295,-181.800003052 90.8432693481,181.800018311 90.8432693481,181.800018311 -79.4973602295,-181.800003052 -79.4973602295))", "date": "2019-07-02T18:38:44.599160", "detail_url": "/layers/Marine_Regions_web_services:mesopelagiczones", "id": 4519, "owner__username": "gridanode", "popular_count": 1182, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-87995e31-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Mesopelagic ecoregions of the world’s oceans", "uuid": "87995e31-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The dataset represents the division of the world oceans into provinces as defined by Longhurst (1995; 1998; 2006). The division has been based on the prevailing role of physical forcing as a regulator of phytoplankton distribution. The dataset contains the initial static boundaries developed at the Bedford Institute of Oceanography, Canada. Note that the boundaries of these provinces are not fixed in time and space, but are dynamic and move under seasonal and interannual changes in physical forcing. At the first level of reduction, Longhurst recognised four principal biomes: the Polar biome, the Westerlies biome, the Trade winds biome, and the Coastal biome. These four biomes are recognised in every major ocean basin. At the next level of reduction, the ocean basins are divided into provinces, roughly ten for each basin. These regions provide a template for data analysis or for making parameter assignments on a global scale. Please refer to Longhurst's publications when using these shapefiles.", "bbox_x0": "-179.9985656738", "bbox_x1": "179.9897918701", "bbox_y0": "-78.5000000000", "bbox_y1": "89.8992004395", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.998565674 -78.5,-179.998565674 89.8992004395,179.98979187 89.8992004395,179.98979187 -78.5,-179.998565674 -78.5))", "date": "2019-07-02T18:38:44.096402", "detail_url": "/layers/Marine_Regions_web_services:longhurst", "id": 4518, "owner__username": "gridanode", "popular_count": 3129, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-87995e30-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Longhurst Provinces", "uuid": "87995e30-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "LMEs are natural regions of ocean space encompassing coastal waters from river basins and estuaries to the seaward boundary of continental shelves and the outer margins of coastal currents. They are relatively large regions of 200,000 km2 or greater, the natural boundaries of which are based on four ecological criteria: bathymetry, hydrography, productivity, and trophically related populations. The theory, measurement, and modeling relevant to monitoring the changing states of LMEs are imbedded in reports on ecosystems with multiple steady states, and on the pattern formation and spatial diffusion within ecosystems. The concept that critical processes controlling the structure and function of biological communities can best be addressed on a regional basis has been applied to the ocean by using LMEs as the distinct units for marine resources assessment, monitoring, and management.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8000030518", "bbox_y0": "-86.3476333618", "bbox_y1": "90.8773498535", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -86.3476333618,-181.800018311 90.8773498535,181.800003052 90.8773498535,181.800003052 -86.3476333618,-181.800018311 -86.3476333618))", "date": "2019-07-02T18:38:43.425655", "detail_url": "/layers/Marine_Regions_web_services:lme", "id": 4517, "owner__username": "gridanode", "popular_count": 1910, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-869d8d32-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "The 66 Large Marine Ecosystems of the World", "uuid": "869d8d32-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The ESRI Countries 2014 was the primary source for the Maritime Boundaries v9 baseline. The coastline was extracted from the ESRI Countries 2014 and then combined with reefs data extracted from Coral Reef Distribution UNEP for the countries where reefs were fundamental for the correct calculation of the maritime areas, as intended by the coastal state. Several other fixes were made to the coastline to ensure that the coastline could be used as an appropriate normal baseline for the drawing of the multiple Maritime Boundaries areas.\r\n\r\nMore information: \r\nhttp://www.marineregions.org/eezmethodology.php", "bbox_x0": "-181.7718505859", "bbox_x1": "181.6462860107", "bbox_y0": "-80.0242614746", "bbox_y1": "84.1555099487", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.771850586 -80.0242614746,-181.771850586 84.1555099487,181.646286011 84.1555099487,181.646286011 -80.0242614746,-181.771850586 -80.0242614746))", "date": "2019-07-02T18:38:42.985295", "detail_url": "/layers/Marine_Regions_web_services:land_v9", "id": 4516, "owner__username": "gridanode", "popular_count": 1233, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-869d8d31-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "land_v9 (coastline for Maritime Boundaries v9, without attribute information)", "uuid": "869d8d31-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000183105", "bbox_y0": "-86.3476409912", "bbox_y1": "90.8773574829", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -86.3476409912,-181.800003052 90.8773574829,181.800018311 90.8773574829,181.800018311 -86.3476409912,-181.800003052 -86.3476409912))", "date": "2019-07-02T18:38:42.446265", "detail_url": "/layers/Marine_Regions_web_services:iho_quadrants_20150810", "id": 4515, "owner__username": "gridanode", "popular_count": 1018, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-869d8d30-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "IHO quadrants (20150810)", "uuid": "869d8d30-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "World seas represents the boundaries for the major oceans and seas of the world. The source for the boundaries is the publication 'Limits of Oceans & Seas, Special Publication No. 23' published by the IHO in 1953.", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000183105", "bbox_y0": "-86.4403152466", "bbox_y1": "90.8778228760", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -86.4403152466,-181.800003052 90.877822876,181.800018311 90.877822876,181.800018311 -86.4403152466,-181.800003052 -86.4403152466))", "date": "2019-07-02T18:38:41.894835", "detail_url": "/layers/Marine_Regions_web_services:iho", "id": 4514, "owner__username": "gridanode", "popular_count": 2768, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-857c2ba2-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "IHO Sea Areas (v3)", "uuid": "857c2ba2-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-44.5649986267", "bbox_x1": "69.5650024414", "bbox_y0": "35.7550010681", "bbox_y1": "85.2450103760", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-44.5649986267 35.7550010681,-44.5649986267 85.245010376,69.5650024414 85.245010376,69.5650024414 35.7550010681,-44.5649986267 35.7550010681))", "date": "2019-07-02T18:38:41.205613", "detail_url": "/layers/Marine_Regions_web_services:ices_statistical_rectangles", "id": 4513, "owner__username": "gridanode", "popular_count": 1082, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-857c2ba1-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "ICES Statistical Rectangles", "uuid": "857c2ba1-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Delineation of the ICES Ecoregions was originally described in ICES Advice ACFM/ACE report(2004).\r\n\r\nIn the present updated version, the delineation has been updated to account for additional policy objectives and reconciling of legislation (eg the MSFD and the EU water and habitats directives)\r\n\r\nThe differences are based on the four principles:\r\n1. Within the EU accept the MSFD regional and sub-regional definitions.\r\n2. Separate Icelandic Seas from those around Greenland.\r\n3. Use Large Marine Ecosystem units to define the Arctic Ocean.\r\n4. Use the accepted Norwegian regional management plans definitions of the Norwegian and Barents Seas.\r\n\r\nThe Ecoregions were proposed to assist the implementation of the ecosystem approach in European waters", "bbox_x0": "-44.0000000001", "bbox_x1": "68.5000001348", "bbox_y0": "30.2670495514", "bbox_y1": "90.0000000001", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-44.0000000001 30.2670495514,-44.0000000001 90.0000000001,68.5000001348 90.0000000001,68.5000001348 30.2670495514,-44.0000000001 30.2670495514))", "date": "2019-07-02T18:38:40.549758", "detail_url": "/layers/Marine_Regions_web_services:ices_ecoregions", "id": 4512, "owner__username": "gridanode", "popular_count": 1173, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-857c2ba0-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "ICES Ecoregions (2015)", "uuid": "857c2ba0-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The ICES Statistical Areas delineates the divisions and subdivisions of FAO Major Fishing area 27.\r\nThe ICES Statistical Areas are used as bounding areas for calculation of fish statistics, e.g. catch per unit effort (CPUE) and stock estimates.", "bbox_x0": "-44.5625000000", "bbox_x1": "69.0625076294", "bbox_y0": "35.7299995422", "bbox_y1": "90.2700042725", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-44.5625 35.7299995422,-44.5625 90.2700042725,69.0625076294 90.2700042725,69.0625076294 35.7299995422,-44.5625 35.7299995422))", "date": "2019-07-02T18:38:39.844911", "detail_url": "/layers/Marine_Regions_web_services:ices_areas", "id": 4511, "owner__username": "gridanode", "popular_count": 1523, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-83ff1e61-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "ICES Statistical Areas", "uuid": "83ff1e61-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-180.0184173584", "bbox_x1": "180.8364105225", "bbox_y0": "-48.3181838989", "bbox_y1": "46.2548828125", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.018417358 -48.3181838989,-180.018417358 46.2548828125,180.836410522 46.2548828125,180.836410522 -48.3181838989,-180.018417358 -48.3181838989))", "date": "2019-07-02T18:38:39.356049", "detail_url": "/layers/Marine_Regions_web_services:haedatgrids_polygon", "id": 4510, "owner__username": "gridanode", "popular_count": 1217, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "HAB monitoring grids (polygons, world, 2018)", "uuid": "83ff1e60-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "http://www.gfcmonline.org/maps/gsas/", "bbox_x0": "-5.5999999046", "bbox_x1": "41.7795280000", "bbox_y0": "30.2662219992", "bbox_y1": "47.2895559991", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-5.59999990463 30.2662219992,-5.59999990463 47.2895559991,41.779528 47.2895559991,41.779528 30.2662219992,-5.59999990463 30.2662219992))", "date": "2019-07-02T18:38:38.537688", "detail_url": "/layers/Marine_Regions_web_services:gsas_mediterraneanfishingzones", "id": 4509, "owner__username": "gridanode", "popular_count": 1005, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-83ff1e5f-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "GSAS - Mediterranean Fishing Zones", "uuid": "83ff1e5f-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The dataset represents the boundaries of the FAO Fishing Areas. The source for the boundaries is the description that can be found on the FAO website (http://www.oceansatlas.org/servlet/CDSServlet?status=ND0zMTA2JmN0bl9pbmZvX3ZpZXdfc2l6ZT1jdG5faW5mb192aWV3X2Z1bGwmNj1lbiYzMz0qJjM3PWtvcw~~).", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-85.4702911377", "bbox_y1": "89.8999862671", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -85.4702911377,-180.0 89.8999862671,180.0 89.8999862671,180.0 -85.4702911377,-180.0 -85.4702911377))", "date": "2019-07-02T18:38:38.052462", "detail_url": "/layers/Marine_Regions_web_services:fao", "id": 4508, "owner__username": "gridanode", "popular_count": 1769, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "FAO Fishing Areas", "uuid": "83ff1e5e-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-89.9909382921", "bbox_y1": "89.9913526236", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -89.9909382921,-180.0 89.9913526236,180.0 89.9913526236,180.0 -89.9909382921,-180.0 -89.9909382921))", "date": "2019-07-02T18:38:37.585219", "detail_url": "/layers/Marine_Regions_web_services:fadaregions", "id": 4507, "owner__username": "gridanode", "popular_count": 1286, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-83104a88-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "FADA Faunistic Regions", "uuid": "83104a88-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset combines the boundaries of the world countries and the Exclusive Economic Zones of the world. It was created by combining the ESRI world country database and the EEZ version 8 dataset.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8000183105", "bbox_y0": "-90.8851165771", "bbox_y1": "87.9090652466", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -90.8851165771,-181.800018311 87.9090652466,181.800018311 87.9090652466,181.800018311 -90.8851165771,-181.800018311 -90.8851165771))", "date": "2019-07-02T18:38:37.096291", "detail_url": "/layers/Marine_Regions_web_services:eez_land", "id": 4506, "owner__username": "gridanode", "popular_count": 2627, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-83104a87-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Marine and land zones: the union of world country boundaries and EEZ's", "uuid": "83104a87-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 2 of the Internal Waters from the VLIZ Maritime Boundaries Geodatabase. Internal Waters are the waters on the landward side of the baseline of a nation's territorial waters, except in archipelagic states. It includes waterways such as rivers and canals, and sometimes the water within small bays.", "bbox_x0": "-181.7998199463", "bbox_x1": "181.7611846924", "bbox_y0": "-56.6782798767", "bbox_y1": "84.3738479614", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.799819946 -56.6782798767,-181.799819946 84.3738479614,181.761184692 84.3738479614,181.761184692 -56.6782798767,-181.799819946 -56.6782798767))", "date": "2019-07-02T18:38:36.487059", "detail_url": "/layers/Marine_Regions_web_services:eez_internal_waters", "id": 4505, "owner__username": "gridanode", "popular_count": 1467, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-83104a86-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Internal Waters (V2)", "uuid": "83104a86-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The maritime boundaries provide a useful tool to limit national marine areas, but do not include information on marine regional and sub regional seas. This hampers the usage of these boundaries for implementing nature conservation strategies or analyzing marine biogeographic patterns. For example, a species occurring in the German EEZ can live in the North Sea, the Baltic Sea or Kattegat area. Each of these different marine areas has very distinct hydrological, oceanographic and ecological conditions.\r\n\r\nTherefore, by combining the information on regional seas and national maritime boundaries, we can include both a environmental and managerial factor. We propose to overlay the information from the maritime boundaries (the Exclusive Economic Zones) with the IHO Sea Areas (IHO, 1953). This map including the global oceans and seas, has been drafted for hydrographic purposes, but also gives an unequivocal and acceptable distinction of the regional seas and oceans from an oceanographic point of view. The combination of these two boundaries allows us for example to create national regional sea areas for the global ocean.", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000152588", "bbox_y0": "-85.4702911377", "bbox_y1": "90.0000076294", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -85.4702911377,-180.0 90.0000076294,180.000015259 90.0000076294,180.000015259 -85.4702911377,-180.0 -85.4702911377))", "date": "2019-07-02T18:38:35.295804", "detail_url": "/layers/Marine_Regions_web_services:eez_iho_union_v2", "id": 4504, "owner__username": "gridanode", "popular_count": 1923, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-81df8303-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Marineregions: the intersect of the Exclusive Economic Zones and IHO areas", "uuid": "81df8303-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "The maritime boundaries provide a useful tool to limit national marine areas, but do not include information on marine regional and sub regional seas. This hampers the usage of these boundaries for implementing nature conservation strategies or analyzing marine biogeographic patterns. For example, a species occurring in the German EEZ can live in the North Sea, the Baltic Sea or Kattegat area. Each of these different marine areas has very distinct hydrological, oceanographic and ecological conditions.\r\n\r\nTherefore, by combining the information on regional seas and national maritime boundaries, we can include both a environmental and managerial factor. We propose to overlay the information from the maritime boundaries (the Exclusive Economic Zones) with the IHO Sea Areas (IHO, 1953). This map including the global oceans and seas, has been drafted for hydrographic purposes, but also gives an unequivocal and acceptable distinction of the regional seas and oceans from an oceanographic point of view. The combination of these two boundaries allows us for example to create national regional sea areas for the global ocean.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8000183105", "bbox_y0": "-86.4403152466", "bbox_y1": "90.8778228760", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -86.4403152466,-181.800018311 90.877822876,181.800018311 90.877822876,181.800018311 -86.4403152466,-181.800018311 -86.4403152466))", "date": "2019-07-02T18:38:34.489900", "detail_url": "/layers/Marine_Regions_web_services:eez_iho", "id": 4503, "owner__username": "gridanode", "popular_count": 1184, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-81df8302-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Marineregions: the intersect of the Exclusive Economic Zones and IHO areas (v3)", "uuid": "81df8302-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 10 of the Maritime Boundaries from the VLIZ Maritime Boundaries Geodatabase. Boundariess have been built using information about treaties between coastal countries. When treaties are not available, median lines have been calculated. This dataset also contains delimitation of disputed boundaries and joint regimes.", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000183105", "bbox_y0": "-77.6190872192", "bbox_y1": "87.8129806519", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -77.6190872192,-181.800003052 87.8129806519,181.800018311 87.8129806519,181.800018311 -77.6190872192,-181.800003052 -77.6190872192))", "date": "2019-07-02T18:38:33.634796", "detail_url": "/layers/Marine_Regions_web_services:eez_boundaries", "id": 4502, "owner__username": "gridanode", "popular_count": 1416, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-809f099c-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Maritime boundaries V10", "uuid": "809f099c-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 2 of the Archipelagic Waters from the VLIZ Maritime Boundaries Geodatabase. Archipelagic Waters are waters falling within archipelagic baselines.", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000183105", "bbox_y0": "-21.2698402405", "bbox_y1": "27.5144920349", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -21.2698402405,-181.800003052 27.5144920349,181.800018311 27.5144920349,181.800018311 -21.2698402405,-181.800003052 -21.2698402405))", "date": "2019-07-02T18:38:33.045060", "detail_url": "/layers/Marine_Regions_web_services:eez_archipelagic_waters", "id": 4501, "owner__username": "gridanode", "popular_count": 1110, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-809f099b-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Archipelagic Waters (V2)", "uuid": "809f099b-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 2 of the Contiguous Zones from the VLIZ Maritime Boundaries Geodatabase. The Contiguous Zone is a band of water extending from the outer edge of the territorial sea to up to 24 nautical miles (44.4 km; 27.6 mi) from the baseline.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8001556396", "bbox_y0": "-57.6299934387", "bbox_y1": "84.7786941528", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -57.6299934387,-181.800018311 84.7786941528,181.80015564 84.7786941528,181.80015564 -57.6299934387,-181.800018311 -57.6299934387))", "date": "2019-07-02T18:38:32.390018", "detail_url": "/layers/Marine_Regions_web_services:eez_24nm", "id": 4500, "owner__username": "gridanode", "popular_count": 1504, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-809f099a-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Contiguous Zones (24 NM) V2", "uuid": "809f099a-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 2 of the Territorial Seas from the VLIZ Maritime Boundaries Geodatabase. Territorial seas are a belt of coastal waters extending at most 12 nautical miles (22.2 km; 13.8 mi) from the baseline (usually the mean low-water mark) of a coastal state.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8000335693", "bbox_y0": "-57.4282913208", "bbox_y1": "84.5776062012", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -57.4282913208,-181.800018311 84.5776062012,181.800033569 84.5776062012,181.800033569 -57.4282913208,-181.800018311 -57.4282913208))", "date": "2019-07-02T18:38:31.764368", "detail_url": "/layers/Marine_Regions_web_services:eez_12nm", "id": 4499, "owner__username": "gridanode", "popular_count": 1942, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7f84c1b4-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Territorial Seas (12 NM) V2", "uuid": "7f84c1b4-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Version 10 of the Exclusive Economic Zones from the VLIZ Maritime Boundaries Geodatabase. An exclusive economic zone (EEZ) is a seazone extending from a state's coast or baseline over which the state has special rights over the exploration and use of marine resources. Generally a state's EEZ extends 200 nautical miles out from its coast, except where resulting points would be closer to another country. This dataset also contains delimitation of disputed areas and joint regimes.", "bbox_x0": "-181.8000183105", "bbox_x1": "181.8000183105", "bbox_y0": "-86.4252853394", "bbox_y1": "87.8567962646", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800018311 -86.4252853394,-181.800018311 87.8567962646,181.800018311 87.8567962646,181.800018311 -86.4252853394,-181.800018311 -86.4252853394))", "date": "2019-07-02T18:38:30.985111", "detail_url": "/layers/Marine_Regions_web_services:eez", "id": 4498, "owner__username": "gridanode", "popular_count": 2170, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7f84c1b3-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Exclusive Economic Zones (200 NM) V10", "uuid": "7f84c1b3-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-35.0000000000", "bbox_y1": "32.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -35.0,-180.0 32.0,180.0 32.0,180.0 -35.0,-180.0 -35.0))", "date": "2019-07-02T18:38:30.539593", "detail_url": "/layers/Marine_Regions_web_services:cross_dateline_polygons", "id": 4497, "owner__username": "gridanode", "popular_count": 972, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7f84c1b2-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Cross dateline features (polygons)", "uuid": "7f84c1b2-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "This shapefile has been prepared in the framework of COMARGE, one of the field project of the Census of Marine Life. It is intended to represent continental margins worldwide, with the exclusion of the continental shelf. The continental margins have been defined based on bathymetry and expert opinion. The upper margin of the boundary has been set at 140 m depth, which is the average depth of the shelf break, except in Antarctica where the shelf break goes deeper and the upper boundary has been set up at 500 m. The lower boundary has been set at 3500 m depth. Both isobaths were extracted from S2004 Bathymetry (a global bathymetry at 1 arc-minute resolution). The upper and lower boundaries were manually edited to follow the contour of continental margins in particular cases.", "bbox_x0": "-179.9999887861", "bbox_x1": "179.9999887547", "bbox_y0": "-78.4229638429", "bbox_y1": "84.8446715026", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.999988786 -78.4229638429,-179.999988786 84.8446715026,179.999988755 84.8446715026,179.999988755 -78.4229638429,-179.999988786 -78.4229638429))", "date": "2019-07-02T18:38:29.899304", "detail_url": "/layers/Marine_Regions_web_services:comarge", "id": 4496, "owner__username": "gridanode", "popular_count": 1826, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "Continental margins between 140m and 3500m depth (IFREMER - COMARGE, 2009)", "uuid": "7e284ae9-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Created by VLIZ, based on countries, GADM, NUTS, Wikipedia, Google Maps, OpenStreetMap, Topographic map, ...", "bbox_x0": "-156.6443023682", "bbox_x1": "171.9659118652", "bbox_y0": "-55.7965583801", "bbox_y1": "81.5042877197", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-156.644302368 -55.7965583801,-156.644302368 81.5042877197,171.965911865 81.5042877197,171.965911865 -55.7965583801,-156.644302368 -55.7965583801))", "date": "2019-07-02T18:38:29.360158", "detail_url": "/layers/Marine_Regions_web_services:coasts_subnational", "id": 4495, "owner__username": "gridanode", "popular_count": 983, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7e284ae8-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Coasts Subnational Level (20150814)", "uuid": "7e284ae8-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-181.8000030518", "bbox_x1": "181.8000030518", "bbox_y0": "-90.8683242798", "bbox_y1": "84.5338211060", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-181.800003052 -90.8683242798,-181.800003052 84.533821106,181.800003052 84.533821106,181.800003052 -90.8683242798,-181.800003052 -90.8683242798))", "date": "2019-07-02T18:38:28.706273", "detail_url": "/layers/Marine_Regions_web_services:coasts_per_ocean", "id": 4494, "owner__username": "gridanode", "popular_count": 960, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7e284ae7-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Coasts per ocean (20150814)", "uuid": "7e284ae7-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "What is the Bras d’Or Lake Biosphere Reserve?\r\n\r\nIt is a UNESCO designated area defined by the watershed of the Bras d'Or lake. It is Canada's 16th biosphere.\r\n\r\nBiosphere reserves are special places around the world where people are trying to live more sustainably – that means 4 things:\r\n\r\na healthy environment\r\na healthy economy\r\na healthy society\r\na healthy culture\r\nThe Bras d'Or Lake Biosphere Reserve Association is a group of volunteers who have worked to have the Bras d’Or Lake and its watershed designated as a UNESCO Man and the Biosphere Reserve. We now oversee the activities of the Biosphere Reserve. We are a registered society in the province of Nova Scotia.\r\n532 Chebucto St.\r\nP.O. Box 711\r\nBaddeck, NS B0E 1B0\r\n\r\nEmail: contact@blbra.ca\r\nTel: (902) 674-2578\r\n\r\nCanadian Biosphere Reserves Association", "bbox_x0": "-61.3318634033", "bbox_x1": "-60.2687873840", "bbox_y0": "45.6341247559", "bbox_y1": "46.3931465149", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.3318634033 45.6341247559,-61.3318634033 46.3931465149,-60.268787384 46.3931465149,-60.268787384 45.6341247559,-61.3318634033 45.6341247559))", "date": "2019-07-02T18:38:28.255897", "detail_url": "/layers/Marine_Regions_web_services:brasdorlakebiospherereserve", "id": 4493, "owner__username": "gridanode", "popular_count": 1422, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "Bras d'Or Lake Biosphere Reserve", "uuid": "7e284ae6-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "There are many ways to divide the Arctic marine region—by ecosystem/ecological characteristics, by administrative criteria, or by some combination of the two. However, effective monitoring of biodiversity requires that an ecosystem-based approach be used for choosing areas.\r\n\r\nhttp://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/dcd5c12f-3acb-4101-8e1a-bba0aec50582", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "51.3845118691", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 51.3845118691,-180.0 90.0,180.0 90.0,180.0 51.3845118691,-180.0 51.3845118691))", "date": "2019-07-02T18:38:27.672931", "detail_url": "/layers/Marine_Regions_web_services:arcticmarineareas", "id": 4492, "owner__username": "gridanode", "popular_count": 1243, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7d4a806e-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Arctic Marine Areas", "uuid": "7d4a806e-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-180.0083333333", "bbox_x1": "180.0083333333", "bbox_y0": "-90.0083333333", "bbox_y1": "90.0083333333", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.008333333 -90.0083333333,-180.008333333 90.0083333333,180.008333333 90.0083333333,180.008333333 -90.0083333333,-180.008333333 -90.0083333333))", "date": "2019-07-02T18:38:27.282308", "detail_url": "/layers/Marine_Regions_web_services:ETOPO1_Ice_g_geotiff", "id": 4491, "owner__username": "gridanode", "popular_count": 1507, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7d4a806d-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "ETOPO1 global relief model (ice surface)", "uuid": "7d4a806d-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "Not provided", "bbox_x0": "-180.0083333333", "bbox_x1": "180.0083333333", "bbox_y0": "-90.0083333333", "bbox_y1": "90.0083333333", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.008333333 -90.0083333333,-180.008333333 90.0083333333,180.008333333 90.0083333333,180.008333333 -90.0083333333,-180.008333333 -90.0083333333))", "date": "2019-07-02T18:38:26.802025", "detail_url": "/layers/Marine_Regions_web_services:ETOPO1_Bed_g_geotiff", "id": 4490, "owner__username": "gridanode", "popular_count": 1562, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7d4a806c-9d22-11e9-8d7d-000d3ab6a624-thumb.png", "title": "ETOPO1 global relief model (bedrock)", "uuid": "7d4a806c-9d22-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layers represents the level 3 administrative areas within the htree countries covered by the Mano River basin. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-11.7179326190", "bbox_x1": "-8.9492690000", "bbox_y0": "6.7746954320", "bbox_y1": "9.6937630000", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-11.717932619 6.77469543200004,-11.717932619 9.69376300000005,-8.94926899999996 9.69376300000005,-8.94926899999996 6.77469543200004,-11.717932619 6.77469543200004))", "date": "2019-05-31T03:36:00", "detail_url": "/layers/geonode:mru_admin3", "id": 4575, "owner__username": "ManoRiverUnion", "popular_count": 454, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mru_admin3&format=image/png8&height=150&width=200&bbox=-11.717932619,6.77469543200004,-8.94926899999996,9.69376300000005&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mru administrative areas level 3", "uuid": "534064c6-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the country boundaries for countries that intersect with the Mano River basin. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-15.0646600000", "bbox_x1": "-7.3685599910", "bbox_y0": "4.3540043120", "bbox_y1": "12.6762200000", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-15.0646599999999 4.35400431200002,-15.0646599999999 12.6762200000001,-7.36855999099988 12.6762200000001,-7.36855999099988 4.35400431200002,-15.0646599999999 4.35400431200002))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_state_boundaries", "id": 4566, "owner__username": "ManoRiverUnion", "popular_count": 853, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mru_state_boundaries&format=image/png8&height=150&width=200&bbox=-15.0646599999999,4.35400431200002,-7.36855999099988,12.6762200000001&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mru Mano River basin country boundaries", "uuid": "43c0d83c-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the administrative areas (level 2) of the Mano River basin. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-12.1354373060", "bbox_x1": "-7.9472040000", "bbox_y0": "6.5729428540", "bbox_y1": "10.6025610000", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-12.135437306 6.57294285400004,-12.135437306 10.602561,-7.94720399999997 10.602561,-7.94720399999997 6.57294285400004,-12.135437306 6.57294285400004))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_admin2", "id": 4564, "owner__username": "ManoRiverUnion", "popular_count": 386, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mru_admin2&format=image/png8&height=150&width=200&bbox=-12.135437306,6.57294285400004,-7.94720399999997,10.602561&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mru Mano River basin administrative areas level 2", "uuid": "3adf0b1c-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the portion of the Mano River basin within Liberia. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-11.4986070970", "bbox_x1": "-9.6249320000", "bbox_y0": "6.8534824384", "bbox_y1": "8.5514568670", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-11.4986070969999 6.85348243838177,-11.4986070969999 8.55145686700006,-9.62493199999992 8.55145686700006,-9.62493199999992 6.85348243838177,-11.4986070969999 6.85348243838177))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_basin_lib", "id": 4573, "owner__username": "ManoRiverUnion", "popular_count": 564, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mru_basin_lib&format=image/png8&height=150&width=200&bbox=-11.4986070969999,6.85348243838177,-9.62493199999992,8.55145686700006&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mru Mano River basin - Liberia", "uuid": "4fe08d74-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the land cover of the Mano River basin. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-11.6147710850", "bbox_x1": "-9.2686839248", "bbox_y0": "6.8534824384", "bbox_y1": "9.3117036039", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-11.6147710850175 6.85348243836387,-11.6147710850175 9.31170360393821,-9.26868392482322 9.31170360393821,-9.26868392482322 6.85348243836387,-11.6147710850175 6.85348243836387))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_landcover", "id": 4569, "owner__username": "ManoRiverUnion", "popular_count": 795, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-48addb10-10f9-11ea-8d7d-000d3ab6a624-thumb.png", "title": "mru Mano River basin land cover", "uuid": "48addb10-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the road network within the Mano River. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-11.5767286693", "bbox_x1": "-9.2907584221", "bbox_y0": "6.8810439102", "bbox_y1": "9.2873558501", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-11.5767286693298 6.8810439101754,-11.5767286693298 9.28735585014606,-9.2907584221391 9.28735585014606,-9.2907584221391 6.8810439101754,-11.5767286693298 6.8810439101754))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_road_network", "id": 4567, "owner__username": "ManoRiverUnion", "popular_count": 410, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-44bd9767-10f9-11ea-8d7d-000d3ab6a624-thumb.png", "title": "mru Mano River basin road network", "uuid": "44bd9767-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the portion of the Mano River basin within Sierra Leone. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. The project seeks to promote holistic approaches to integrated ecosystem management and to design participatory and community–based strategies, which will lead to in-situ conservation and sustainable use of soil, water and biota in the river basins and on their watersheds.", "bbox_x0": "-11.6147710850", "bbox_x1": "-10.2705593530", "bbox_y0": "6.9233791930", "bbox_y1": "9.0855533220", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-11.6147710850035 6.92337919300002,-11.6147710850035 9.08555332200001,-10.2705593529999 9.08555332200001,-10.2705593529999 6.92337919300002,-11.6147710850035 6.92337919300002))", "date": "2019-05-31T03:35:00", "detail_url": "/layers/geonode:mru_basin_sl", "id": 4572, "owner__username": "ManoRiverUnion", "popular_count": 1141, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mru_basin_sl&format=image/png8&height=150&width=200&bbox=-11.6147710850035,6.92337919300002,-10.2705593529999,9.08555332200001&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mru Mano River basin - Sierra Leone", "uuid": "4db962f1-10f9-11ea-8d7d-000d3ab6a624"}, {"abstract": "This layer represents the drainage network for the Mano River basin. This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. 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This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. 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This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. 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This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. 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This data was collated to support the “Mano River Ecosystem Conservation and International Water Resources Management (IWRM) Project”, which is implemented by the International Union for Conservation of Nature (IUCN). It targets the conservation and sustainable use of the transboundary water basins and their biodiversity resources within the Mano River Union member states. These resources are of highest importance for the sub-region, seriously affected by socio-political problems with displaced and suffering populations, and demand support under these very difficult contexts. 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"thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-be93426f-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_substrait_type_off_east_coast_Trinidad_2002", "uuid": "be93426f-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Shoreline stability measures (eroding, accreting or in dynamic equilibrium) for beaches monitored by the IMA as part of the Coastal Conservation programme from 2004 to 2008", "bbox_x0": "-61.9299776028", "bbox_x1": "-60.9155603351", "bbox_y0": "10.0438314349", "bbox_y1": "10.8379073910", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9299776028 10.0438314349,-61.9299776028 10.837907391,-60.9155603351 10.837907391,-60.9155603351 10.0438314349,-61.9299776028 10.0438314349))", "date": "2019-05-05T14:26:56.104610", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_shoreline_stability_assessment_2008_25000", "id": 4351, "owner__username": "gridanode", "popular_count": 808, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-be93426e-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_shoreline_stability_assessment_2008_25000", "uuid": "be93426e-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "A participtatory mapping of fishing grounds with fisherfold operating off the east coast was conducted", "bbox_x0": "-61.2145212615", "bbox_x1": "-60.4755366851", "bbox_y0": "9.8091477508", "bbox_y1": "10.7842226648", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.2145212615 9.80914775082,-61.2145212615 10.7842226648,-60.4755366851 10.7842226648,-60.4755366851 9.80914775082,-61.2145212615 9.80914775082))", "date": "2019-05-05T14:26:43.078280", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_fishing_grounds_off_east_coast_trinidad_2004", "id": 4350, "owner__username": "gridanode", "popular_count": 831, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b6cf7796-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_fishing_grounds_off_east_coast_trinidad_2004", "uuid": "b6cf7796-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Fishing gear types in the Gulf of Paria", "bbox_x0": "-62.0352079428", "bbox_x1": "-61.4032203738", "bbox_y0": "10.0999120897", "bbox_y1": "10.8147038936", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-62.0352079428 10.0999120897,-62.0352079428 10.8147038936,-61.4032203738 10.8147038936,-61.4032203738 10.0999120897,-62.0352079428 10.0999120897))", "date": "2019-05-05T14:26:28.192865", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_fishing_gear_types_in_gulf_of_paria_1998", "id": 4349, "owner__username": "gridanode", "popular_count": 976, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-adf028aa-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_fishing_gear_types_in_gulf_of_paria_1998", "uuid": "adf028aa-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The coastal areas of Trinidad have been classified into categories based on morphology and their vulnerability to spilled oil. The index used in this report combines geological and biological sensitivities to oil spill impacts. The least sensitive to long term oil spill damage is 1, and the most sensitive is 10.", "bbox_x0": "-61.9301464280", "bbox_x1": "-60.9090855306", "bbox_y0": "10.0437388876", "bbox_y1": "10.8443741793", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.930146428 10.0437388876,-61.930146428 10.8443741793,-60.9090855306 10.8443741793,-60.9090855306 10.0437388876,-61.930146428 10.0437388876))", "date": "2019-05-05T14:26:26.949052", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_coastline_type", "id": 4348, "owner__username": "gridanode", "popular_count": 853, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ad325b40-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_coastline_type", "uuid": "ad325b40-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "A bacteriological water quality survey was conducted during the period 23 April, 2014 to 22 July, 2014 along the coastline at Cedros Bay on the southwest coast of Trinidad, from Bonasse Village to Fullerton Village, Cedros. Bonasse Beach and Fullerton Beach are used for recreational activities by beach-goers and both are also fish landing sites. Fifteen (15) sampling stations were located nearshore along Cedros Bay, from Bonasse Village to Fullerton Village. Nine (9)stations were also established at two rivers, at a stream and at six drains which discharged into nearshore waters and were potential sources of pollution for this section of Cedros Bay. Water samples were collected on five occasions at the 15 nearshore stations, as well as at 9 potential sources of pollution. Faecal coliforms, Escherichia coli and enterococci bacteria were used as indicators of possible faecal contamination or water pollution from sewage", "bbox_x0": "-61.8813264851", "bbox_x1": "-61.8532814664", "bbox_y0": "10.0924574205", "bbox_y1": "10.0961623061", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.8813264851 10.0924574205,-61.8813264851 10.0961623061,-61.8532814664 10.0961623061,-61.8532814664 10.0924574205,-61.8813264851 10.0924574205))", "date": "2019-05-05T14:26:08.184250", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_bonasse_bathing_beach_water_quality", "id": 4347, "owner__username": "gridanode", "popular_count": 814, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a20312d2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_Bonasse_bathing_beach_water_quality_2014", "uuid": "a20312d2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Watercourses of Trinidad", "bbox_x0": "-61.9299249753", "bbox_x1": "-60.9144273765", "bbox_y0": "10.0448616110", "bbox_y1": "10.8432570581", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9299249753 10.044861611,-61.9299249753 10.8432570581,-60.9144273765 10.8432570581,-60.9144273765 10.044861611,-61.9299249753 10.044861611))", "date": "2019-05-05T14:26:05.848508", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_trinidad_all_rivers_trinidad", "id": 4346, "owner__username": "gridanode", "popular_count": 926, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a09ec7ba-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_all_rivers_Trinidad", "uuid": "a09ec7ba-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Shoreline stability measures (eroding, accreting or in dynamic equilibrium) for beaches monitored by the IMA as part of the Coastal Conservation programme from 2004 to 2008", "bbox_x0": "-60.8417319358", "bbox_x1": "-60.5269060836", "bbox_y0": "11.1351490486", "bbox_y1": "11.3283097351", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-60.8417319358 11.1351490486,-60.8417319358 11.3283097351,-60.5269060836 11.3283097351,-60.5269060836 11.1351490486,-60.8417319358 11.1351490486))", "date": "2019-05-05T14:25:55.681428", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_tobago_shoreline_stability_assessment_2008_25000", "id": 4345, "owner__username": "gridanode", "popular_count": 818, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9a8f5da8-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Tobago_shoreline_stability_assessment_2008_25000", "uuid": "9a8f5da8-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The coastline type (mangrove, coarse grained sandy beaches, exposed rocky platform, exposed vertiacal rocky shore, fine grain sandy beach, gravel beach, rip rap, sheltered rocky shore and tidal flat) was mapped for Tobago", "bbox_x0": "-60.8458798113", "bbox_x1": "-60.5175477674", "bbox_y0": "11.1343981617", "bbox_y1": "11.3464868286", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-60.8458798113 11.1343981617,-60.8458798113 11.3464868286,-60.5175477674 11.3464868286,-60.5175477674 11.1343981617,-60.8458798113 11.1343981617))", "date": "2019-05-05T14:25:47.780083", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_tobago_coastline_type", "id": 4344, "owner__username": "gridanode", "popular_count": 864, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-95d9b97a-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Tobago_coastline_type", "uuid": "95d9b97a-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-92.4666105556", "bbox_x1": "-86.7251452916", "bbox_y0": "18.1733084779", "bbox_y1": "21.6197175708", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-92.4666105556 18.1733084779,-92.4666105556 21.6197175708,-86.7251452916 21.6197175708,-86.7251452916 18.1733084779,-92.4666105556 18.1733084779))", "date": "2019-05-05T14:25:33.442177", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_mex_manglar_yucatan", "id": 4342, "owner__username": "gridanode", "popular_count": 916, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8d4ddaf2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tv_mex_manglar_yucatan", "uuid": "8d4ddaf2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Cartografía de la ubicación y distribución de lechos de pasto marino del Caribe Mexicano. Combinación de la cartografía de cobertura bentónica de la CONABIO (2017) y de la cartografía de la Universidad Autónoma Metropolitana (UAM). Avances en la investigación científica que fue parcialmente financiado (zona norte) por parte de un proyecto con la Comisión para la Cooperación ambiental (CCA) para la formulación de políticas en materia de carbono azul en América del Norte.", "bbox_x0": "-87.8509861864", "bbox_x1": "-86.7228543643", "bbox_y0": "18.1784933362", "bbox_y1": "21.6451064956", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-87.8509861864 18.1784933362,-87.8509861864 21.6451064956,-86.7228543643 21.6451064956,-86.7228543643 18.1784933362,-87.8509861864 18.1784933362))", "date": "2019-05-05T14:25:00", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_mex_pastos_marinos_2017", "id": 4343, "owner__username": "gridanode", "popular_count": 861, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8d4ddaf3-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_MEX_Pastos marinos del Caribe Mexicano, 2017", "uuid": "8d4ddaf3-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer compiles the status of Marine Spatial Planning (MSP) by phase within countries with MSP initiatives, as reported by the Intergovernmental Oceanographic Commission of UNESCO.\nSeven phases are identified:\n1.  Pre-Planning\n2. Analysis for planning\n3.  Managment Plan Development\n4. Management Plan Completion\n5. Management Plan Approval\n6. Management Plan Implementation\n7.  Management Plan Revision", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-33.7470817566", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -33.7470817566,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -33.7470817566,-178.303604126 -33.7470817566))", "date": "2019-05-05T14:24:50.492449", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_clme_msp_status_20171210_noscale", "id": 4340, "owner__username": "gridanode", "popular_count": 972, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-72e0f141-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_MSP_status_20171210_noscale", "uuid": "72e0f141-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-33.7470817566", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -33.7470817566,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -33.7470817566,-178.303604126 -33.7470817566))", "date": "2019-05-05T14:24:49.107096", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_clme_fish_supply_20171212_noscale", "id": 4339, "owner__username": "gridanode", "popular_count": 856, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-72e0f140-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_fish_supply_20171212_noscale", "uuid": "72e0f140-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Attributes in this layer show country priorities regarding the Aichi Biodiversity Targets of the Convention of Biological Diversity (CBD). Governments that have published CBD National Biodiversity Strategies and Action Plans (NBSAP) have aligned national priorities to specific targets,  11 of which are related to the objectives of the CLME+ SAP.", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-33.7470817566", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -33.7470817566,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -33.7470817566,-178.303604126 -33.7470817566))", "date": "2019-05-05T14:24:41.482926", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_clme_aichi_targets_allm", "id": 4338, "owner__username": "gridanode", "popular_count": 851, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6e558c6c-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_Aichi_Targets_ALL(M)_20171209_noscale", "uuid": "6e558c6c-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer shows all Marine Protected Areas (MPA) around the area of the Caribbean Biological Corridor (CBC). The CBC is a  biodiversity management framework, established by the Governments of the Dominican Republic, Cuba and Haiti in  2007 (Jamaica is Permanent Observer). The CBC framework does not include marine ecosystems. Given the transboundary nature of shared living marine resources, the need to expand the scope of the CBC to include also  marine protected areas is evident.\nEcosystem connectivity has been recognized to be key to the effectiveness of protected areas.", "bbox_x0": "-85.0874229200", "bbox_x1": "-67.6856556810", "bbox_y0": "17.4002140970", "bbox_y1": "25.0923340000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-85.08742292 17.400214097,-85.08742292 25.092334,-67.685655681 25.092334,-67.685655681 17.400214097,-85.08742292 17.400214097))", "date": "2019-05-05T14:24:37.346421", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_cbc_mpa_all_20171207_noscale", "id": 4337, "owner__username": "gridanode", "popular_count": 978, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6bde5482-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_CBC_MPA_ALL_20171207_noscale", "uuid": "6bde5482-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. 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The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3692247783", "bbox_x1": "-76.1832855176", "bbox_y0": "17.7058297224", "bbox_y1": "18.5245711484", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3692247783 17.7058297224,-78.3692247783 18.5245711484,-76.1832855176 18.5245711484,-76.1832855176 17.7058297224,-78.3692247783 17.7058297224))", "date": "2019-05-05T14:24:32.995773", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:topogr_2", "id": 4334, "owner__username": "gridanode", "popular_count": 996, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-684f0303-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Topography", "uuid": "684f0303-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": 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'Distribución de la población en México por municipio, 1990', Comisión Nacional para el Conocimento y Uso de la Biodiversidad. Datos estadísticos de 1990 del Instituto Nacional de Estadística, Geografía e Informática. Escala 1:250000. México.", "bbox_x0": "-117.1258165224", "bbox_x1": "-86.7101051987", "bbox_y0": "14.5327254832", "bbox_y1": "32.7187519639", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-117.125816522 14.5327254832,-117.125816522 32.7187519639,-86.7101051987 32.7187519639,-86.7101051987 14.5327254832,-117.125816522 14.5327254832))", "date": "2019-05-05T14:24:04.617325", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_population_1990_250000", "id": 4321, "owner__username": "gridanode", "popular_count": 911, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-577ea547-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_MEX_mexico_population_1990_250000", "uuid": "577ea547-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-89.2965618203", "bbox_x1": "-86.7107429003", "bbox_y0": "17.8939855503", "bbox_y1": "21.6052526838", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.2965618203 17.8939855503,-89.2965618203 21.6052526838,-86.7107429003 21.6052526838,-86.7107429003 17.8939855503,-89.2965618203 17.8939855503))", "date": "2019-05-05T14:24:03.164553", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_poblacion_municipios_qroo_2015_500000", "id": 4320, "owner__username": "gridanode", "popular_count": 871, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-577ea546-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_poblacion_municipios_qroo_2015_500000", "uuid": "577ea546-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-118.6343761960", "bbox_x1": "-85.3972318680", "bbox_y0": "11.9685993200", "bbox_y1": "32.4833354950", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-118.634376196 11.96859932,-118.634376196 32.483335495,-85.397231868 32.483335495,-85.397231868 11.96859932,-118.634376196 11.96859932))", "date": "2019-05-05T14:24:01.698286", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_mpa_wcpa_2017_500000", "id": 4319, "owner__username": "gridanode", "popular_count": 899, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-55ec2501-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_mpa_wcpa_2017_500000", "uuid": "55ec2501-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Red Mareográfica Nacional de la Secretaría de Marina (SEMAR, 2018)\n22 de Marzo del 2018 (Fechas de Descarga de http://oceanografia.semar.gob.mx/estaciones.html)", "bbox_x0": "-118.2915667988", "bbox_x1": "-86.7418498400", "bbox_y0": "16.0513490621", "bbox_y1": "32.4149365693", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-118.291566799 16.0513490621,-118.291566799 32.4149365693,-86.74184984 32.4149365693,-86.74184984 16.0513490621,-118.291566799 16.0513490621))", "date": "2019-05-05T14:24:00.527321", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estoceanograficas_semar_2018_200000", "id": 4318, "owner__username": "gridanode", "popular_count": 802, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-55ec2500-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estoceanograficas_semar_2018_200000", "uuid": "55ec2500-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El mapa representa la distribución espacial y extensión de los hábitats bentónicos de los ecosistemas marinos del Caribe mexicano, cubriendo las aguas someras del sistema arrecifal mesoamericano entre Cabo Catoche y Xcalak. El mapa resultante se generó a partir de la unión de los mapas de cobertura bentónica y del relieve submarino. Se definieron 50 clases en un área de 1001.3 km2 con una profundidad máxima promedio de 18 m.", "bbox_x0": "-87.8510013494", "bbox_x1": "-86.7046751047", "bbox_y0": "18.1784676727", "bbox_y1": "21.6165406607", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-87.8510013494 18.1784676727,-87.8510013494 21.6165406607,-86.7046751047 21.6165406607,-86.7046751047 18.1784676727,-87.8510013494 18.1784676727))", "date": "2019-05-05T14:24:00", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tv_mex_habitatsbentonicos", "id": 4341, "owner__username": "gridanode", "popular_count": 1138, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-75398538-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_MEX_Hábitats  Bentónicos de Ecosistemas Marinos del Caribe Mexicano: Cabo Catoche - Xcalak. 2018", "uuid": "75398538-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Red Nacional de Estaciones Oceanográficas, Mareográficas y Meteorológicas (RENEOM / IMT, 2018)", "bbox_x0": "-117.0583423160", "bbox_x1": "-86.8053222220", "bbox_y0": "14.6967206678", "bbox_y1": "32.3414445421", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-117.058342316 14.6967206678,-117.058342316 32.3414445421,-86.805322222 32.3414445421,-86.805322222 14.6967206678,-117.058342316 14.6967206678))", "date": "2019-05-05T14:23:51.023549", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estoceanograficas_imt_2018_200000", "id": 4317, "owner__username": "gridanode", "popular_count": 853, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-504223d4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estoceanograficas_imt_2018_200000", "uuid": "504223d4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Estaciones Mareográficas y Meteorológicas Costeras MEXICO (CICESE, 2018).", "bbox_x0": "-118.2918510000", "bbox_x1": "-99.9166666700", "bbox_y0": "16.8333333300", "bbox_y1": "31.8482333300", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-118.291851 16.83333333,-118.291851 31.84823333,-99.91666667 31.84823333,-99.91666667 16.83333333,-118.291851 16.83333333))", "date": "2019-05-05T14:23:47.041616", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estoceanograficas_cic_2018_200000", "id": 4316, "owner__username": "gridanode", "popular_count": 866, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4de267de-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estoceanograficas_cic_2018_200000", "uuid": "4de267de-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Estaciones Meteorologicas OPERATIVAS en MEXICO / CLICOM (SMN, 2018).\n\nSMN-Conagua (2018),  [On-line], \n[22/03/2018 of the version downloaded]. \nhttp://smn1.conagua.gob.mx/emas/\n\nSensores que integran cada Estación:\n            - Velocidad del viento\n            - Dirección del viento\n            - Presión atmosférica \n            - Temperatura y Humedad relativa\n            - Radiación solar\n            - Precipitación\n\nCENDO(2018), Sergio Larios. slarios@uabc.edu.mx", "bbox_x0": "-116.9077777778", "bbox_x1": "-86.8202777778", "bbox_y0": "14.6177777778", "bbox_y1": "32.7152777778", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-116.907777778 14.6177777778,-116.907777778 32.7152777778,-86.8202777778 32.7152777778,-86.8202777778 14.6177777778,-116.907777778 14.6177777778))", "date": "2019-05-05T14:23:45.908561", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estmeteorologicas_clicom_op_2018_200000", "id": 4315, "owner__username": "gridanode", "popular_count": 761, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4c8c6f43-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estmeteorologicas_clicom_op_2018_200000", "uuid": "4c8c6f43-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Estaciones Meteorologicas de MEXICO INACTIVAS (CLICOM, 2018)\nSMN-Conagua (2018),  [On-line], \n[22/03/2018 of the version downloaded]. \nhttp://smn1.conagua.gob.mx/emas/\n\nSensores que integran cada Estación:\n            - Velocidad del viento\n            - Dirección del viento\n            - Presión atmosférica \n            - Temperatura y Humedad relativa\n            - Radiación solar\n            - Precipitación\n\nCENDO(2018), Sergio Larios. slarios@uabc.edu.mx", "bbox_x0": "-117.0741666667", "bbox_x1": "-86.7350000000", "bbox_y0": "14.8333333333", "bbox_y1": "32.5616666667", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-117.074166667 14.8333333333,-117.074166667 32.5616666667,-86.735 32.5616666667,-86.735 14.8333333333,-117.074166667 14.8333333333))", "date": "2019-05-05T14:23:44.799764", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estmeteorologicas_clicom_inactivas_2018_200000", "id": 4314, "owner__username": "gridanode", "popular_count": 880, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4c8c6f42-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estmeteorologicas_clicom_inactivas_2018_200000", "uuid": "4c8c6f42-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Estaciones Meteorologicas de MEXICO (SMN, 2018).\n\nSMN-Conagua (2018),  [On-line], \n[22/03/2018 of the version downloaded]. \nhttp://smn1.conagua.gob.mx/emas/\n\nSensores que integran cada Estación:\n            - Velocidad del viento\n            - Dirección del viento\n            - Presión atmosférica \n            - Temperatura y Humedad relativa\n            - Radiación solar\n            - Precipitación\n\nCENDO(2018), Sergio Larios. slarios@uabc.edu.mx", "bbox_x0": "-117.0713889000", "bbox_x1": "-86.8522222200", "bbox_y0": "14.6261111100", "bbox_y1": "32.7047222200", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-117.0713889 14.62611111,-117.0713889 32.70472222,-86.85222222 32.70472222,-86.85222222 14.62611111,-117.0713889 14.62611111))", "date": "2019-05-05T14:23:36.411262", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_estmeteorologicas_2018_200000", "id": 4313, "owner__username": "gridanode", "popular_count": 797, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-478c6966-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_estmeteorologicas_2018_200000", "uuid": "478c6966-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-92.4687900150", "bbox_x1": "-86.7104052770", "bbox_y0": "17.8128711690", "bbox_y1": "22.6138000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-92.468790015 17.812871169,-92.468790015 22.6138,-86.710405277 22.6138,-86.710405277 17.812871169,-92.468790015 17.812871169))", "date": "2019-05-05T14:23:34.046772", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_delegaciones_yuc_qroo_campeche", "id": 4312, "owner__username": "gridanode", "popular_count": 877, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4623a954-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_MEX_División municipal Yucatan", "uuid": "4623a954-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Áreas Naturales Protegidas de MEXICO (CONANP, 2017)-CENDO 2018\n5 marzo 2018 (Fechas de Descarga de Archivo Global)", "bbox_x0": "-118.6343761959", "bbox_x1": "-85.3972318683", "bbox_y0": "11.9685993207", "bbox_y1": "32.4833333334", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-118.634376196 11.9685993207,-118.634376196 32.4833333334,-85.3972318683 32.4833333334,-85.3972318683 11.9685993207,-118.634376196 11.9685993207))", "date": "2019-05-05T14:23:09.830019", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_mexico_anp_2017_500000", "id": 4311, "owner__username": "gridanode", "popular_count": 954, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-37b458b4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_MEX_anp_2017_500000", "uuid": "37b458b4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Global Linear Relative Mean Sea Level (MSL) trends and 95% Confidence Intervals (CI) in mm/year and in ft/century", "bbox_x0": "-173.2333000000", "bbox_x1": "179.1952000000", "bbox_y0": "-65.2500000000", "bbox_y1": "78.0667000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-173.2333 -65.25,-173.2333 78.0667,179.1952 78.0667,179.1952 -65.25,-173.2333 -65.25))", "date": "2019-05-05T14:23:06.483624", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_globalstations_linearsealeveltrends", "id": 4310, "owner__username": "gridanode", "popular_count": 932, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-350cec03-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_globalstations_linearsealeveltrends", "uuid": "350cec03-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Population at coastal municipalities 2010", "bbox_x0": "-71.9528885820", "bbox_x1": "-68.2094590532", "bbox_y0": "16.8339385370", "bbox_y1": "20.5773680658", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.952888582 16.833938537,-71.952888582 20.5773680658,-68.2094590532 20.5773680658,-68.2094590532 16.833938537,-71.952888582 16.833938537))", "date": "2019-05-05T14:23:05.377845", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_dom_population_coastal_municipalities_2010", "id": 4309, "owner__username": "gridanode", "popular_count": 852, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-350cec02-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_population_coastal_municipalities_2010", "uuid": "350cec02-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Population at coastal municipalities 2002", "bbox_x0": "-71.8881238407", "bbox_x1": "-68.2480840786", "bbox_y0": "16.9187375950", "bbox_y1": "20.5587773571", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8881238407 16.918737595,-71.8881238407 20.5587773571,-68.2480840786 20.5587773571,-68.2480840786 16.918737595,-71.8881238407 16.918737595))", "date": "2019-05-05T14:23:03.940713", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_dom_population_coastal_municipalities_2002", "id": 4308, "owner__username": "gridanode", "popular_count": 849, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3431b574-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_dom_population_coastal_municipalities_2002", "uuid": "3431b574-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El Sistema de Información para la Gestión de los Manglares de Colombia (SIGMA), es un proyecto ambicioso de carácter nacional e interinstitucional, que pretende fomentar el conocimiento del ecosistema de manglar en el país, así como contribuir a la toma de decisiones a través de la generación de reportes basados en cuatro temáticas básicas a saber: Estado de los bosques; Presiones; Bienes y Servicios y Gestión.", "bbox_x0": "-82.7453357098", "bbox_x1": "-70.2768303082", "bbox_y0": "1.1673255585", "bbox_y1": "13.6358309600", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-82.7453357098 1.16732555851,-82.7453357098 13.63583096,-70.2768303082 13.63583096,-70.2768303082 1.16732555851,-82.7453357098 1.16732555851))", "date": "2019-05-05T14:22:59.952786", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_col_manglar", "id": 4307, "owner__username": "gridanode", "popular_count": 791, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-31d134e4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "tm_col_manglar", "uuid": "31d134e4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Puertos en la región del CARIBE (de WPI, 2018)\n22 de Marzo del 2018 (Fechas de Descarga de https://msi.nga.mil/NGAPortal/MSI.portal?_nfpb=true&_pageLabel=msi_portal_page_62&pubCode=0015)\n\nA partir de World Port Index.\nThe World Port Index (Pub 150) contains the location and physical characteristics of, and the facilities and services offered by major ports and terminals world-wide (approximately 3700 entries), in a tabular format. Entries are organized geographically, in accordance with the diagrams located in the front of the publication.\n\nSHP generado en CENDO / IIO / UABC (2018), Sergio Larios. slarios@uabc.edu.mx", "bbox_x0": "-120.8500000000", "bbox_x1": "-52.2666666667", "bbox_y0": "3.8833333333", "bbox_y1": "35.9166666667", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-120.85 3.88333333333,-120.85 35.9166666667,-52.2666666667 35.9166666667,-52.2666666667 3.88333333333,-120.85 3.88333333333))", "date": "2019-05-05T14:22:55.245899", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_caribbean_port_index_2018_200000", "id": 4306, "owner__username": "gridanode", "popular_count": 1083, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2f0308e6-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - CARIBBEAN - Port index - 2018", "uuid": "2f0308e6-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-179.1419980000", "bbox_x1": "179.7774660000", "bbox_y0": "-33.7438960000", "bbox_y1": "71.3658140000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.141998 -33.743896,-179.141998 71.365814,179.777466 71.365814,179.777466 -33.743896,-179.141998 -33.743896))", "date": "2019-05-05T14:22:53.798491", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:tm_caribbean_administrative_level0", "id": 4305, "owner__username": "gridanode", "popular_count": 1040, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2e263e0c-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SF1 2000: Population Pacific Islander or Hawaiian Native (%)", "uuid": "2e263e0c-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-89.5000000000", "bbox_x1": "-60.0099983215", "bbox_y0": "8.0000000000", "bbox_y1": "23.8333000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.5 8.0,-89.5 23.8333,-60.0099983215 23.8333,-60.0099983215 8.0,-89.5 8.0))", "date": "2019-05-05T14:22:52.336758", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:threatened_species_r", "id": 4304, "owner__username": "gridanode", "popular_count": 892, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2ca1bcd3-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-Caribbean-threatened_species", "uuid": "2ca1bcd3-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Large Marine Ecosystems (LMEs) are natural regions of ocean space encompassing coastal waters from river basins and estuaries to the seaward boundary of continental shelves and the outer margins of coastal currents. They are relatively large regions of 200,000 km2 or greater, the natural boundaries of which are based on four ecological criteria: bathymetry, hydrography, productivity, and trophically related populations.", "bbox_x0": "-97.8902893064", "bbox_x1": "-40.5016021733", "bbox_y0": "-3.3091683388", "bbox_y1": "30.7358322141", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-97.8902893064 -3.30916833883,-97.8902893064 30.7358322141,-40.5016021733 30.7358322141,-40.5016021733 -3.30916833883,-97.8902893064 -3.30916833883))", "date": "2019-05-05T14:22:51.252103", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:the_3_lmes", "id": 4303, "owner__username": "gridanode", "popular_count": 885, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2ca1bcd2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: BV_WCR+_LMEs ALL (M)_20171121_noscale", "uuid": "2ca1bcd2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Using landcover for Trinidad and Tobago the area above 90m (roughly 300 feet) was found to be relatively unaffected by significant human activity. The area between the zone of immediate impact (5m) and 90m was identified as the area of influence.", "bbox_x0": "-61.9072763818", "bbox_x1": "-60.9140362839", "bbox_y0": "10.0521518667", "bbox_y1": "10.8438209138", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9072763818 10.0521518667,-61.9072763818 10.8438209138,-60.9140362839 10.8438209138,-60.9140362839 10.0521518667,-61.9072763818 10.0521518667))", "date": "2019-05-05T14:22:50.148938", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:t2", "id": 4302, "owner__username": "gridanode", "popular_count": 880, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2b559b01-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_ICZM_terrestrial_zone_T2_area_of_immediate_impact_2014_25000", "uuid": "2b559b01-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Using data from project sea level rise by 2050 and spatially distributed storm surges for Trinidad and Tobago from the IDB project Economics of Climate Change Adaptation the zone of immediate impact was identified and set at the 5m contour.", "bbox_x0": "-61.9303716258", "bbox_x1": "-60.9076473462", "bbox_y0": "10.0431538534", "bbox_y1": "10.8438190062", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9303716258 10.0431538534,-61.9303716258 10.8438190062,-60.9076473462 10.8438190062,-60.9076473462 10.0431538534,-61.9303716258 10.0431538534))", "date": "2019-05-05T14:22:49.075493", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:t1", "id": 4301, "owner__username": "gridanode", "popular_count": 1013, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2b559b00-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_ICZM_terrestrial_zone_T1_area_of_immediate_impact_2014_25000", "uuid": "2b559b00-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Son áreas donde se manifiesta el ascenso de aguas frías ricas en nutrientes desde los niveles más profundos, estimulando el crecimiento de fitoplancton \n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-74.2352889260", "bbox_x1": "-71.6451911250", "bbox_y0": "11.3144692016", "bbox_y1": "12.5333152486", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-74.235288926 11.3144692016,-74.235288926 12.5333152486,-71.645191125 12.5333152486,-71.645191125 11.3144692016,-74.235288926 11.3144692016))", "date": "2019-05-05T14:22:47.978664", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:surgencia", "id": 4300, "owner__username": "gridanode", "popular_count": 827, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2aae2424-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Área de surgencia-2009-500.000", "uuid": "2aae2424-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays the 28  Caribbean countries and territories that are officially listed as Small Island Developing States by the United Nations.", "bbox_x0": "-89.2241744995", "bbox_x1": "-53.9774932861", "bbox_y0": "1.1767669916", "bbox_y1": "27.2713890076", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.2241744995 1.17676699162,-89.2241744995 27.2713890076,-53.9774932861 27.2713890076,-53.9774932861 1.17676699162,-89.2241744995 1.17676699162))", "date": "2019-05-05T14:22:45.132732", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:sids", "id": 4298, "owner__username": "gridanode", "popular_count": 974, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-28fbe1a2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: BV_Country boundaries_SIDS(D)_2017_noscale", "uuid": "28fbe1a2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The layer shows the Member States of the Sistema de Integracion Centroamericana (SICA).\nSpecialized agencies of SICA include OSPESCA (Organizacion del Sector Pesquero y Acuicola) and CCAD (Comision Centroamericana de Ambiente y Desarrollo)", "bbox_x0": "-92.2223587036", "bbox_x1": "-68.3226394653", "bbox_y0": "5.4990267754", "bbox_y1": "19.9323616028", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-92.2223587036 5.49902677536,-92.2223587036 19.9323616028,-68.3226394653 19.9323616028,-68.3226394653 5.49902677536,-92.2223587036 5.49902677536))", "date": "2019-05-05T14:22:37.616086", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:sica_members", "id": 4297, "owner__username": "gridanode", "popular_count": 943, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2480f126-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_RGF membership SICA (D)_20171201_noscale", "uuid": "2480f126-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Produced in 2010 by CZMAI/Natural Capital Project with a preferential scale of 1:100,000.  With a national coverage in polygon format.", "bbox_x0": "-88.9362473222", "bbox_x1": "-87.4560804296", "bbox_y0": "15.8897159820", "bbox_y1": "18.1994801747", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-88.9362473222 15.889715982,-88.9362473222 18.1994801747,-87.4560804296 18.1994801747,-87.4560804296 15.889715982,-88.9362473222 15.889715982))", "date": "2019-05-05T14:22:35.356417", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:seagrassv2", "id": 4296, "owner__username": "gridanode", "popular_count": 925, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-23282f7e-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_BELIZE_ Seagrass_100.000_2010", "uuid": "23282f7e-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset shows the seagrass beds around the south and west coast of the island .This data was provided by the Coastal Zone Management Unit of Barbados ca.1997.", "bbox_x0": "-59.5819036591", "bbox_x1": "-59.5302793548", "bbox_y0": "13.0458966153", "bbox_y1": "13.0702803204", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.5819036591 13.0458966153,-59.5819036591 13.0702803204,-59.5302793548 13.0702803204,-59.5302793548 13.0458966153,-59.5819036591 13.0458966153))", "date": "2019-05-05T14:22:33.817201", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:seagrass_2", "id": 4295, "owner__username": "gridanode", "popular_count": 933, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-223d5ecc-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Seagrass Beds - 1997 - 1:5000", "uuid": "223d5ecc-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer (zip file) shows the coverage of seagrasses in the Wider Caribbean Region. Theseagrass habitat lies within the \"Coral  reef sub-ecosystem\" which also hosts mangroves and coral reefs. This sub-ecosystem receives special attention in the CLME+ SAP due to the importance of the spiny lobster and queen conch fisheries for local livelihoods.", "bbox_x0": "-97.7586503096", "bbox_x1": "-59.4580734050", "bbox_y0": "8.3287595730", "bbox_y1": "30.7966458010", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-97.7586503096 8.328759573,-97.7586503096 30.796645801,-59.458073405 30.796645801,-59.458073405 8.328759573,-97.7586503096 8.328759573))", "date": "2019-05-05T14:22:32.206470", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:seagrass_1", "id": 4294, "owner__username": "gridanode", "popular_count": 959, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-209f73b7-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Subecosystems_Seagrass(D)_20171204_noscale", "uuid": "209f73b7-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The marine zone S1, the area of immediate impact from the coast used for ICZM", "bbox_x0": "-61.9811016084", "bbox_x1": "-60.4419755955", "bbox_y0": "9.9938829698", "bbox_y1": "11.4120606115", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9811016084 9.99388296978,-61.9811016084 11.4120606115,-60.4419755955 11.4120606115,-60.4419755955 9.99388296978,-61.9811016084 9.99388296978))", "date": "2019-05-05T14:22:31.104983", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:s1", "id": 4293, "owner__username": "gridanode", "popular_count": 891, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-209f73b6-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_and_Tobago_ICZM_marine_zone_s1_area_of_immediate_influence_2014_25000", "uuid": "209f73b6-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde al grado de amenaza de las rutas de navegación a los diferentes objetos de conservación, en el área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.6887291789", "bbox_x1": "-64.0062606603", "bbox_y0": "10.1005602708", "bbox_y1": "13.0096273872", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.6887291789 10.1005602708,-71.6887291789 13.0096273872,-64.0062606603 13.0096273872,-64.0062606603 10.1005602708,-71.6887291789 10.1005602708))", "date": "2019-05-05T14:22:29.382639", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:rutas_navegacion", "id": 4292, "owner__username": "gridanode", "popular_count": 937, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1f988e94-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Grado de amenaza de las rutas de navegación a los ODC", "uuid": "1f988e94-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Barbados road network was digitized from the 1:10000 (12 sheets) topographic maps produced by the Directorate of Overseas Surveys, Ordnance Survey, United Kingdom 1986.  Each topographic map was scanned and registered to the Barbados National Grid and then reprojected to WGS84 Zone 20 before digitizing.  Digitization was preformed in ArcGIS 8.3 and enhanced with the ArcScan extension.  IKONOS imagery from 2000-2001 was then used to update the islands road network as well as differentiate between main highways, secondary highways, paved, and unpaved roads.", "bbox_x0": "-59.6533476425", "bbox_x1": "-59.4215627340", "bbox_y0": "13.0439955101", "bbox_y1": "13.3348384382", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6533476425 13.0439955101,-59.6533476425 13.3348384382,-59.421562734 13.3348384382,-59.421562734 13.0439955101,-59.6533476425 13.0439955101))", "date": "2019-05-05T14:22:27.557158", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:roads_wgs84", "id": 4291, "owner__username": "gridanode", "popular_count": 938, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1e819ea6-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BM-BRB_Road Infrastructure - 2001 - 1:10000", "uuid": "1e819ea6-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3475495936", "bbox_x1": "-76.1953638528", "bbox_y0": "17.7601199376", "bbox_y1": "18.5242360868", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3475495936 17.7601199376,-78.3475495936 18.5242360868,-76.1953638528 18.5242360868,-76.1953638528 17.7601199376,-78.3475495936 17.7601199376))", "date": "2019-05-05T14:22:25.649703", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:river", "id": 4290, "owner__username": "gridanode", "popular_count": 1036, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1d5f0284-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Rivers", "uuid": "1d5f0284-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays the area of competence of the Western Central Atlantic  Fishery Commission (WECAFC). It includes FAO Statistical Area 31 and the northern part of Statistical Area 41. \nThe WECAFC competence area covers the entire CLME+ region plus the Gulf of Mexico LME.", "bbox_x0": "-97.8882700000", "bbox_x1": "-20.0000000000", "bbox_y0": "-10.0000000000", "bbox_y1": "36.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-97.88827 -10.0,-97.88827 36.0,-20.0 36.0,-20.0 -10.0,-97.88827 -10.0))", "date": "2019-05-05T14:22:23.867355", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:rfb_wecafc_1", "id": 4289, "owner__username": "gridanode", "popular_count": 1001, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1c4f2234-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_WECAFC area_20171121_noscale", "uuid": "1c4f2234-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las Reservas de la Biosfera son zonas de ecosistemas terrestres o costeros/marinos, o una combinación de los mismos, reconocidas en el plano internacional como tales en el marco del Programa sobre el Hombre y la Biosfera (MAB) de la UNESCO.", "bbox_x0": "-81.9943819450", "bbox_x1": "-72.5283372160", "bbox_y0": "9.8190079937", "bbox_y1": "16.1626268285", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.994381945 9.81900799368,-81.994381945 16.1626268285,-72.528337216 16.1626268285,-72.528337216 9.81900799368,-81.994381945 9.81900799368))", "date": "2019-05-05T14:22:22.128636", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:reservasbiosfera", "id": 4288, "owner__username": "gridanode", "popular_count": 944, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1a9e4c77-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Species: Global Mammal Richness Grids - Endangered", "uuid": "1a9e4c77-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset shows reef locations and reef classification types along the west and south coasts of Barbados as a polygon shapefile. This data was provided by the Coastal Zone Management Unit of Barbados ca.1998", "bbox_x0": "-59.6666327930", "bbox_x1": "-59.3943112051", "bbox_y0": "13.0223018073", "bbox_y1": "13.3512552975", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.666632793 13.0223018073,-59.666632793 13.3512552975,-59.3943112051 13.3512552975,-59.3943112051 13.0223018073,-59.666632793 13.0223018073))", "date": "2019-05-05T14:22:21.030767", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:reefs_final_wgs_84", "id": 4287, "owner__username": "gridanode", "popular_count": 987, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1a9e4c76-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Coral Reef Coverage-1998-1:5000", "uuid": "1a9e4c76-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Red de Vigilancia para la Conservación y Protección de las Aguas Marinas y Costeras de Colombia\n\nLa Red de Monitoreo de la Calidad de aguas marinas y costeras de Colombia (REDCAM), es un programa de carácter interinstitucional y es una herramienta útil para la gestión y toma de decisiones del Ministerio del Ambiente y Desarrollo Sostenible (MADS) y de las Corporaciones Autónomas Regionales con injerencia costeras y en general del SINA, en temas de contaminación marina-costera.", "bbox_x0": "-81.7847442627", "bbox_x1": "-71.9528732300", "bbox_y0": "7.8663682935", "bbox_y1": "13.4190282817", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.7847442627 7.86636829351,-81.7847442627 13.4190282817,-71.95287323 13.4190282817,-71.95287323 7.86636829351,-81.7847442627 7.86636829351))", "date": "2019-05-05T14:22:19.241102", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:redcam", "id": 4286, "owner__username": "gridanode", "popular_count": 969, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-198d1a2e-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_COLOMBIA_Estaciones REDCAM", "uuid": "198d1a2e-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-72.0343174424", "bbox_x1": "-68.3170987998", "bbox_y0": "17.4658039998", "bbox_y1": "20.0130776326", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.0343174424 17.4658039998,-72.0343174424 20.0130776326,-68.3170987998 20.0130776326,-68.3170987998 17.4658039998,-72.0343174424 17.4658039998))", "date": "2019-05-05T14:22:17.465430", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:rd_municipios", "id": 4285, "owner__username": "gridanode", "popular_count": 958, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-187e4dce-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_Division politica", "uuid": "187e4dce-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays the countries that have ratified the Cartagena Convention's Protocol concerning Specially Protected Areas and Wildlife (SPAW) in the Wider Caribbean Region .\nStatus at September 2017.", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-4.2284288406", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -4.22842884064,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -4.22842884064,-178.303604126 -4.22842884064))", "date": "2019-05-05T14:22:15.570345", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ratification_spaw", "id": 4284, "owner__username": "gridanode", "popular_count": 963, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-175d1de4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Cartagena Convention SPAW (D)_20171121_noscale", "uuid": "175d1de4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer shows the countries that have ratified the Cartagena Convention's Protocol on Land-based Sources of Pollution. Status at September 2017.", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-0.3890059888", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -0.389005988836,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -0.389005988836,-178.303604126 -0.389005988836))", "date": "2019-05-05T14:22:13.597641", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ratification_lbs_1", "id": 4283, "owner__username": "gridanode", "popular_count": 987, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-16301bb0-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Cartagena Convention LBS_(D)_20171121_noscale", "uuid": "16301bb0-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer shows the countries that have ratified the Cartagena Convention's Protocol on Land-based Sources of Pollution. Status at September 2017", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-0.3890059888", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -0.389005988836,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -0.389005988836,-178.303604126 -0.389005988836))", "date": "2019-05-05T14:22:11.644466", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ratification_lbs", "id": 4282, "owner__username": "gridanode", "popular_count": 1063, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-150606b4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_LBS_PROTOCOL", "uuid": "150606b4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Sistema Delta Estuarino del Río Magdalena, Ciénaga Grande de Santa Marta\n\nSistema Delta Estuarino del Río Magdalena, Ciénaga Grande de Santa Marta. 18/06/98; Magdalena; 400,000 ha; 10°45'N 074°29'W. The site is a coastal estuarine system with 20 lagoons of varying salinity, with several rivers running through the area and extensive zones of mangroves. The site is important for its mangrove ecosystem, which is the largest on the Caribbean coast of Colombia. It also serves as habitat and winter breeding ground for several bird species, has at least two endemic bird species, and is also a spawning ground for many fish species. Part of the site is state-owned, while a large area is privately-owned and commercial fishing is important for the community around it. Shellfish and crayfish are also harvested in the area, while the higher zones are used for agriculture. Ecotourism is being developed in the protected area. Ramsar site no. 951. Most recent RIS information: 1998.", "bbox_x0": "-74.8728653570", "bbox_x1": "-74.0971383630", "bbox_y0": "10.3012534257", "bbox_y1": "11.1671520786", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-74.872865357 10.3012534257,-74.872865357 11.1671520786,-74.097138363 11.1671520786,-74.097138363 10.3012534257,-74.872865357 10.3012534257))", "date": "2019-05-05T14:22:09.752516", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ramsar_final", "id": 4281, "owner__username": "gridanode", "popular_count": 1213, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-13e53f5c-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Ramsar", "uuid": "13e53f5c-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Sitios Ramsar para la cuenca Caribe (área de estudio CMA2)", "bbox_x0": "-89.4166666667", "bbox_x1": "-52.1166666667", "bbox_y0": "0.4000000000", "bbox_y1": "30.8000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.4166666667 0.4,-89.4166666667 30.8,-52.1166666667 30.8,-52.1166666667 0.4,-89.4166666667 0.4))", "date": "2019-05-05T14:22:07.944255", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ramsar_cma", "id": 4280, "owner__username": "gridanode", "popular_count": 1229, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-12d16578-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-CARIBBEAN-Sitios Ramsar para la cuenca Caribe", "uuid": "12d16578-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a futuros pozos de explotación costa afuera del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-70.3939437866", "bbox_x1": "-61.7426834106", "bbox_y0": "10.2117929459", "bbox_y1": "12.5062103271", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-70.3939437866 10.2117929459,-70.3939437866 12.5062103271,-61.7426834106 12.5062103271,-61.7426834106 10.2117929459,-70.3939437866 10.2117929459))", "date": "2019-05-05T14:22:05.971067", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:pzs_expl", "id": 4279, "owner__username": "gridanode", "popular_count": 913, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-11a4313a-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Futuros pozos de explotación", "uuid": "11a4313a-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde al grado de amenaza de los puertos a los diferentes objetos de conservación, en el área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.8902815604", "bbox_x1": "-61.9075575691", "bbox_y0": "10.0363765332", "bbox_y1": "12.3874055298", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8902815604 10.0363765332,-71.8902815604 12.3874055298,-61.9075575691 12.3874055298,-61.9075575691 10.0363765332,-71.8902815604 10.0363765332))", "date": "2019-05-05T14:22:03.084955", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:puertos", "id": 4278, "owner__username": "gridanode", "popular_count": 934, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0febf9c2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Grado de amenaza de los puertos a los ODC", "uuid": "0febf9c2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Protected Areas across Jamaica, including game reserves, protected areas, marine parks, national parks and forest reserves. Both declared and proposed protected areas are shown, along with details pertaining to the act under which each was declared and the date of declaration.\n\nNational Environment and Planning Agency (NEPA) and Mona GeoInformatics Institute (MGI)", "bbox_x0": "-78.4052600330", "bbox_x1": "-76.1805022961", "bbox_y0": "17.4607708345", "bbox_y1": "18.5194441186", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.405260033 17.4607708345,-78.405260033 18.5194441186,-76.1805022961 18.5194441186,-76.1805022961 17.4607708345,-78.405260033 17.4607708345))", "date": "2019-05-05T14:22:01.211363", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:protected_areas", "id": 4277, "owner__username": "gridanode", "popular_count": 1001, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0e1f6cd3-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BV_JAM_Jamaica, Caribbean, Protected Areas, 2010, 1:1,280,000", "uuid": "0e1f6cd3-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de productores primarios bentónicos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-70.1824569702", "bbox_x1": "-63.7826805115", "bbox_y0": "10.2318191528", "bbox_y1": "12.1250209808", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-70.1824569702 10.2318191528,-70.1824569702 12.1250209808,-63.7826805115 12.1250209808,-63.7826805115 10.2318191528,-70.1824569702 10.2318191528))", "date": "2019-05-05T14:22:00.067208", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:productores_primarios_bent_nicos", "id": 4276, "owner__username": "gridanode", "popular_count": 1025, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0e1f6cd2-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Productores primarios bentónicos", "uuid": "0e1f6cd2-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "The following maps provide estimates of sea level rise based on measurements from satellite radar altimeters. The local trends were estiamted using data from TOPEX/Poseidon (T/P), Jason-1, and Jason-2, which have monitored the same ground track since 1992.\r\n\r\nAn inverted barometer has been applied. The estimates of sea level rise do not include glacial isostatic adjustment effects on the geoid, which are modeled to be +0.2 to +0.5 mm/year when globally averaged.", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-85.0000000000", "bbox_y1": "85.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0000000000 -85.0000000000,-180.0000000000 85.0000000000,180.0000000000 85.0000000000,180.0000000000 -85.0000000000,-180.0000000000 -85.0000000000))", "date": "2019-05-05T14:22:00", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:slr_map_txj1j2", "id": 4299, "owner__username": "gridanode", "popular_count": 1633, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-28fbe1a3-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_Sea level change (NOAA Laboratory for Satellite Altimetry )", "uuid": "28fbe1a3-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Sistema de Parques Nacionales Naturales de Colombia\n\nLimites de los Parques Nacionales Naturales de Colombia, a escala 1 :100.000 y Sistema de Referencia Magna - Sirgas", "bbox_x0": "-82.0000191300", "bbox_x1": "-71.8532931250", "bbox_y0": "2.3769001169", "bbox_y1": "13.3937184716", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-82.00001913 2.37690011692,-82.00001913 13.3937184716,-71.853293125 13.3937184716,-71.853293125 2.37690011692,-82.00001913 2.37690011692))", "date": "2019-05-05T14:21:58.092424", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:pnn", "id": 4275, "owner__username": "gridanode", "popular_count": 904, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0cf23060-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SF3 2000: Population Below the Poverty Level (%)", "uuid": "0cf23060-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Zonas con pequeñas depresiones en el terreno que se inundan superficialmente por la marea, la escorrentía o el nivel freático superficial durante algunos periodos\ndel año y que durante el resto del año están \ncompletamente secas con salinidades elevadas\npor la evaporación del agua\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-76.9435368840", "bbox_x1": "-75.5353852980", "bbox_y0": "8.0178880447", "bbox_y1": "10.2230144117", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.943536884 8.01788804474,-76.943536884 10.2230144117,-75.535385298 10.2230144117,-75.535385298 8.01788804474,-76.943536884 8.01788804474))", "date": "2019-05-05T14:21:56.998922", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playonesfluviomarinosfinal", "id": 4274, "owner__username": "gridanode", "popular_count": 879, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0ba30b77-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Playones Salinos-2009-500.000", "uuid": "0ba30b77-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se observa presencia de playones fluviomarinos, son planos que se forman en la desembocaduras de ríos que arrastran un gran volumen de sedimentos.\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-76.9435368840", "bbox_x1": "-75.5353852980", "bbox_y0": "8.0178880447", "bbox_y1": "10.2230144117", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.943536884 8.01788804474,-76.943536884 10.2230144117,-75.535385298 10.2230144117,-75.535385298 8.01788804474,-76.943536884 8.01788804474))", "date": "2019-05-05T14:21:55.897137", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playones_fluviomarinos", "id": 4273, "owner__username": "gridanode", "popular_count": 867, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0ba30b76-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Playones Fluviomarinos-2009-500.000", "uuid": "0ba30b76-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de playas arenosas del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.9695720692", "bbox_x1": "-61.9431623235", "bbox_y0": "10.0595222716", "bbox_y1": "12.1113304047", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.9695720692 10.0595222716,-71.9695720692 12.1113304047,-61.9431623235 12.1113304047,-61.9431623235 10.0595222716,-71.9695720692 10.0595222716))", "date": "2019-05-05T14:21:54.791526", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playasarenosas_venezuela", "id": 4272, "owner__username": "gridanode", "popular_count": 961, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0a517e9d-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Playas Arenosas Caribe", "uuid": "0a517e9d-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las playas de baja energía corresponden a sitios protegidos como bahías, incluso pueden estar localizadas dentro de trayectos de línea de costas expuestas pero que por el tipo de geomorfología están protegidas del oleaje y el viento representando sistemas de mayor estabilidad.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-79.0194091797", "bbox_x1": "-71.2468185425", "bbox_y0": "1.5466229915", "bbox_y1": "12.4991044994", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-79.0194091797 1.54662299151,-79.0194091797 12.4991044994,-71.2468185425 12.4991044994,-71.2468185425 1.54662299151,-79.0194091797 1.54662299151))", "date": "2019-05-05T14:21:53.683871", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playas_baja_energia", "id": 4271, "owner__username": "gridanode", "popular_count": 938, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0a517e9c-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SF1 2000, Metropolitan Statistical Areas: Vacant or Seasonal Housing Units (%)", "uuid": "0a517e9c-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de playas arenosas del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-72.0197067261", "bbox_x1": "-61.8930282593", "bbox_y0": "10.0492630005", "bbox_y1": "12.1215896606", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.0197067261 10.0492630005,-72.0197067261 12.1215896606,-61.8930282593 12.1215896606,-61.8930282593 10.0492630005,-72.0197067261 10.0492630005))", "date": "2019-05-05T14:21:51.769807", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playas_arenosas", "id": 4270, "owner__username": "gridanode", "popular_count": 1120, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-092d56bc-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Playas arenosas", "uuid": "092d56bc-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las playas de alta energía corresponden a trayectos sobre la línea de costa con alta exposición mareal y fuertes vientos, pero que a pesar de esto permiten la formación de playa y se mantienen estables.\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-77.8718185425", "bbox_x1": "-71.0792236328", "bbox_y0": "5.5350337027", "bbox_y1": "12.4932432171", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.8718185425 5.53503370267,-77.8718185425 12.4932432171,-71.0792236328 12.4932432171,-71.0792236328 5.53503370267,-77.8718185425 5.53503370267))", "date": "2019-05-05T14:21:49.850448", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:playas_alta_energia", "id": 4269, "owner__username": "gridanode", "popular_count": 1016, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-080880e0-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Playas de alta energía - 2009", "uuid": "080880e0-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a futuras plataformas de explotación costa afuera del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.8299636841", "bbox_x1": "-61.8079109192", "bbox_y0": "10.5635290146", "bbox_y1": "12.5020475388", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8299636841 10.5635290146,-71.8299636841 12.5020475388,-61.8079109192 12.5020475388,-61.8079109192 10.5635290146,-71.8299636841 10.5635290146))", "date": "2019-05-05T14:21:47.923278", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:plataformas", "id": 4268, "owner__username": "gridanode", "popular_count": 952, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-06e2664a-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Futuras plataformas de explotación", "uuid": "06e2664a-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde al grado de amenaza de las actividades de pesca de arrastre a los diferentes objetos de conservación, en el área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-72.0191650391", "bbox_x1": "-61.8193130493", "bbox_y0": "10.0490646362", "bbox_y1": "12.3230085373", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.0191650391 10.0490646362,-72.0191650391 12.3230085373,-61.8193130493 12.3230085373,-61.8193130493 10.0490646362,-72.0191650391 10.0490646362))", "date": "2019-05-05T14:21:45.953966", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:pesca_industrial1", "id": 4267, "owner__username": "gridanode", "popular_count": 895, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0492dc59-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Amenaza de las actividades de pesca de arrastre", "uuid": "0492dc59-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Capa de caladeros de pesca artesanal agregada que muestra la distribución espacial de la intensidad de pesca (faenas/mn2), la cual es un indicador de la ubicación de caladeros de pesca. \n\n\nRUEDA, M., D. MARMOL, E. VILORIA, O.DONCEL, F. RICO- MEJIA, L. GARCIA Y A. GIRON. 2010. Identificación, ubicación y extensión de caladeros de pesca artesanal e industrial en el territorio marino-costero de Colombia. INVEMAR, INCODER, AGENCIA NACIONAL DE HIDROCARBUROS-ANH. Santa Marta. 99p +Anexos.\n4_Convenio 023 2009", "bbox_x0": "-77.4275965881", "bbox_x1": "-71.4720921326", "bbox_y0": "7.2423143193", "bbox_y1": "13.1978187748", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.4275965881 7.24231431928,-77.4275965881 13.1978187748,-71.4720921326 13.1978187748,-71.4720921326 7.24231431928,-77.4275965881 7.24231431928))", "date": "2019-05-05T14:21:44.046033", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:pesca_artesanal_agregada", "id": 4266, "owner__username": "gridanode", "popular_count": 975, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-0492dc58-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Pesca Artesanal Agregada-2010-100.000", "uuid": "0492dc58-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de productores primarios bentónicos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.3450174790", "bbox_x1": "-63.8143624305", "bbox_y0": "10.2411924897", "bbox_y1": "12.1156474789", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.345017479 10.2411924897,-71.345017479 12.1156474789,-63.8143624305 12.1156474789,-63.8143624305 10.2411924897,-71.345017479 10.2411924897))", "date": "2019-05-05T14:21:41.382011", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:pastosmarinos_venezuela", "id": 4265, "owner__username": "gridanode", "popular_count": 1158, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-02fc3376-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Pastos Marinos Caribe Venezuela", "uuid": "02fc3376-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Parish boundaries and coastline for Barbados as digitized from Lands and Surveys Department survey maps which  were created using 1982 aerial photography. The source maps varied in scale from 1:1250 to 1:5000 (higher resolution in urban areas) and were digitised by Bell Canada under contract from Bartel. The original coordinate system of the survey maps was Barbados 1938 grid (BNG). The island is currently divided into 11 parishes", "bbox_x0": "-59.6510559587", "bbox_x1": "-59.4200776448", "bbox_y0": "13.0447950251", "bbox_y1": "13.3351479298", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6510559587 13.0447950251,-59.6510559587 13.3351479298,-59.4200776448 13.3351479298,-59.4200776448 13.0447950251,-59.6510559587 13.0447950251))", "date": "2019-05-05T14:21:40.242213", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:parish_1", "id": 4264, "owner__username": "gridanode", "popular_count": 1092, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-01a7db1b-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Administrative Districts- 2000 - 1:5000", "uuid": "01a7db1b-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se observa presencia de bosques de panganales. Esta asociación ocupa una gran extensión en la zona delto-estuarina del río Atrato. Corresponde a una palma, familia Arecaceae, cuya especie es Raphia taediguera conocida como palma pangana.\n\nAlonso, D., Ramirez, L. F., Segura- Quintero, C. y P.\nCastillo-Torres. 2007. Planificación Ecorregional para la conservación de la biodiversidad in situ marino costera del Caribe continental colombiano. Informe técnico\nfinal. INVEMAR-TNC, Santa Marta-Colombia, 94 p.+ anexos.", "bbox_x0": "-77.1346359253", "bbox_x1": "-76.7351150513", "bbox_y0": "7.6427536008", "bbox_y1": "8.2575969693", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.1346359253 7.64275360083,-77.1346359253 8.25759696934,-76.7351150513 8.25759696934,-76.7351150513 7.64275360083,-77.1346359253 7.64275360083))", "date": "2019-05-05T14:21:39.150265", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:panganales_costeros", "id": 4263, "owner__username": "gridanode", "popular_count": 986, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-01a7db1a-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Observed Climate Change Impacts", "uuid": "01a7db1a-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a la ubicación de objetos patrimoniales del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-70.3124961289", "bbox_x1": "-68.2823841288", "bbox_y0": "10.9471571895", "bbox_y1": "11.3472072818", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-70.3124961289 10.9471571895,-70.3124961289 11.3472072818,-68.2823841288 11.3472072818,-68.2823841288 10.9471571895,-70.3124961289 10.9471571895))", "date": "2019-05-05T14:21:37.996591", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:objetospatrimonialespolvene", "id": 4262, "owner__username": "gridanode", "popular_count": 950, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-00f7d3b4-6f6b-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Ubicación de objetos patrimoniales poligono", "uuid": "00f7d3b4-6f6b-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a la ubicación de objetos patrimoniales del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.9463500977", "bbox_x1": "-62.7685966492", "bbox_y0": "10.0365858078", "bbox_y1": "12.2072010040", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.9463500977 10.0365858078,-71.9463500977 12.207201004,-62.7685966492 12.207201004,-62.7685966492 10.0365858078,-71.9463500977 10.0365858078))", "date": "2019-05-05T14:21:35.716551", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:objetos_patrimoniales", "id": 4261, "owner__username": "gridanode", "popular_count": 963, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ff9bcbec-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Ubicación de objetos patrimoniales", "uuid": "ff9bcbec-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El mapa representa la distribución y extensión de la cobertura de los manglares en México para el año 2015, obtenido a partir de un método de clasificación interdependiente, basado en el mapa de uso del suelo y vegetación de la zona costera asociada a los manglares de México. Se utilizaron en total 198 imágenes satelitáles, principalmente SPOT 5; por falta de disponibilidad completa para el año 2015 de este tipo de imágenes, fue necesario también usar del último trimestre de 2014 (125 en total para este año), algunas SPOT 6, SPOT 7 y RapidEye.", "bbox_x0": "-113.6958350141", "bbox_x1": "-86.7251452916", "bbox_y0": "14.5344185464", "bbox_y1": "29.3471676612", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-113.695835014 14.5344185464,-113.695835014 29.3471676612,-86.7251452916 29.3471676612,-86.7251452916 14.5344185464,-113.695835014 14.5344185464))", "date": "2019-05-05T14:21:32.570223", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mx_man15gw", "id": 4260, "owner__username": "gridanode", "popular_count": 993, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-fdbbbc1a-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_MEX_Manglares en México - 2015", "uuid": "fdbbbc1a-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Image of the sea level rise from 1994 to 2015 from the NOAA Laboratory for Satellite Altimetry", "bbox_x0": "-353.6136793336", "bbox_x1": "45.6601650026", "bbox_y0": "-105.6437059671", "bbox_y1": "66.5431394029", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-353.613679334 -105.643705967,-353.613679334 66.5431394029,45.6601650026 66.5431394029,45.6601650026 -105.643705967,-353.613679334 -105.643705967))", "date": "2019-05-05T14:21:29.195728", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mssh_2014_1993_3001", "id": 4259, "owner__username": "gridanode", "popular_count": 927, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-fbb8d344-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_Sea level rise from 1994 to 2015 (NOAA Laboratory for Satellite Altimetry )", "uuid": "fbb8d344-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays marine ecoregions in and around the CLME+ region.\nMarine Ecoregions is a biogeographic classification of the world's coastal and continental shelf waters following a nested hierarchy of realms, provinces and ecoregions. \n\nData source: The Nature Conservancy", "bbox_x0": "-101.2213785652", "bbox_x1": "-31.4632682226", "bbox_y0": "-14.8724533206", "bbox_y1": "36.5572155161", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-101.221378565 -14.8724533206,-101.221378565 36.5572155161,-31.4632682226 36.5572155161,-31.4632682226 -14.8724533206,-101.221378565 -14.8724533206))", "date": "2019-05-05T14:21:26.118922", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:meow_lmes", "id": 4258, "owner__username": "gridanode", "popular_count": 917, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f9e37718-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_ECOREGIONS ALL (M)_20171121_noscale", "uuid": "f9e37718-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "A biogeographic classification of the world's coastal and continental shelf waters following a nested hierarchy of realms, provinces and ecoregions.\nsee http://www.marineregions.org/sources.php#meow", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-89.9000004651", "bbox_y1": "86.9193962887", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -89.9000004651,-180.0 86.9193962887,180.0 86.9193962887,180.0 -89.9000004651,-180.0 -89.9000004651))", "date": "2019-05-05T14:21:19.847251", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:meow_ecos", "id": 4257, "owner__username": "gridanode", "popular_count": 0, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "TM_Marine Ecoregions of the World (MEOW)", "uuid": "f57f636d-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset depicts fragmentation and resiliency of Belize's national mangrove cover in 2010, based on satellite-based mapping of Belize's mangroves for 1980, 1989, 1994, 2000, 2004, and 2010, and based on the earlier work of Simon Zisman (1998). Fragmentation was analyzed by identifying mangrove patches which had been reduced in size within the period analyzed. Based on that, a fragmentation history was compiled, and risk was estimated based off that history. In addition to the fragmentation history, an index of patch irregularity (related to the perimeter and area) was also developed. Resiliency was also identified based on identification of mangroves which had regrown after clearance. This data was developed for the World Wildlife Fund (WWF)'s Mesoamerican Reef program in July 2010.", "bbox_x0": "-89.0888239473", "bbox_x1": "-87.4910749271", "bbox_y0": "15.9016486027", "bbox_y1": "18.4893742429", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.0888239473 15.9016486027,-89.0888239473 18.4893742429,-87.4910749271 18.4893742429,-87.4910749271 15.9016486027,-89.0888239473 15.9016486027))", "date": "2019-05-05T14:21:18.752483", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mangrovev2", "id": 4256, "owner__username": "gridanode", "popular_count": 992, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f57f636c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_BELIZE_Mangrove_100.000_2010", "uuid": "f57f636c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer (zip file) shows the coverage of mangroves in the Wider Caribbean Region (data from 2010). The mangrove habitat lies within the \"Coral  reef sub-ecosystem\" which also hosts coral reefs and seagrasses. This sub-ecosystem receives special attention in the CLME+ SAP due to the importance of mangroves for coastal protection and nursery ground for fish species, among others.", "bbox_x0": "-98.2087136110", "bbox_x1": "-41.4197843820", "bbox_y0": "-3.3804458730", "bbox_y1": "32.3501725850", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-98.208713611 -3.380445873,-98.208713611 32.350172585,-41.419784382 32.350172585,-41.419784382 -3.380445873,-98.208713611 -3.380445873))", "date": "2019-05-05T14:21:17.644682", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mangroves_2", "id": 4255, "owner__username": "gridanode", "popular_count": 951, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f424ae65-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_Subecosystems_Mangroves(D)_20171204_noscale", "uuid": "f424ae65-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset delineates Barbados national mangrove cover based on satellite-based mapping of Barbados mangroves . This dataset was provided in 2012.", "bbox_x0": "-59.6443596723", "bbox_x1": "-59.4606645575", "bbox_y0": "13.0615297049", "bbox_y1": "13.2496558756", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6443596723 13.0615297049,-59.6443596723 13.2496558756,-59.4606645575 13.2496558756,-59.4606645575 13.0615297049,-59.6443596723 13.0615297049))", "date": "2019-05-05T14:21:16.482257", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mangroves", "id": 4254, "owner__username": "gridanode", "popular_count": 1054, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f424ae64-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Mangroves - 2012 - 1:5000", "uuid": "f424ae64-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Zona de Mangles de la República Dominicana", "bbox_x0": "-71.8574839259", "bbox_x1": "-68.3190440953", "bbox_y0": "17.6329237556", "bbox_y1": "19.9285562322", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8574839259 17.6329237556,-71.8574839259 19.9285562322,-68.3190440953 19.9285562322,-68.3190440953 17.6329237556,-71.8574839259 17.6329237556))", "date": "2019-05-05T14:21:14.338764", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:mangles_1", "id": 4253, "owner__username": "gridanode", "popular_count": 862, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f2dddabc-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_Manglares", "uuid": "f2dddabc-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-71.8844982352", "bbox_x1": "-71.3553246893", "bbox_y0": "10.8381135209", "bbox_y1": "11.1470145059", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8844982352 10.8381135209,-71.8844982352 11.1470145059,-71.3553246893 11.1470145059,-71.3553246893 10.8381135209,-71.8844982352 10.8381135209))", "date": "2019-05-05T14:21:09.133907", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:manaties1_2_1", "id": 4252, "owner__username": "gridanode", "popular_count": 927, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-efc3afa0-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Zona de reproducción de manaties", "uuid": "efc3afa0-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de distribución de manatíes del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.8844982352", "bbox_x1": "-71.3553246893", "bbox_y0": "10.8381135209", "bbox_y1": "11.1470145059", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8844982352 10.8381135209,-71.8844982352 11.1470145059,-71.3553246893 11.1470145059,-71.3553246893 10.8381135209,-71.8844982352 10.8381135209))", "date": "2019-05-05T14:21:06.985004", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:manaties1_2", "id": 4251, "owner__username": "gridanode", "popular_count": 868, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ee7bd73a-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Distribucion de manaties", "uuid": "ee7bd73a-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset highlights major coastal infrastructure and locations around the island of Barbados.  This dataset was provided by the Coastal Zone Management Unit of Barbados ca.1997.", "bbox_x0": "-59.6478901376", "bbox_x1": "-59.4298730748", "bbox_y0": "13.0473537184", "bbox_y1": "13.3346655239", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6478901376 13.0473537184,-59.6478901376 13.3346655239,-59.4298730748 13.3346655239,-59.4298730748 13.0473537184,-59.6478901376 13.0473537184))", "date": "2019-05-05T14:21:04.843682", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:major_coastal_locations", "id": 4250, "owner__username": "gridanode", "popular_count": 1064, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ed351756-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Major Coastal Locations-1997-1:10000", "uuid": "ed351756-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset displays existing oceangraphic and meteorological station locations located around the island of Barbados. These stations are categorised into three categories. These are Acoustic Wave and Current Profilers, Sea Level Stations and Directional Wave Buoys.   This data was provided by the Coastal Zone Management Unit of Barbados ca.2017.", "bbox_x0": "-59.6529666700", "bbox_x1": "-59.4172500000", "bbox_y0": "13.0180000000", "bbox_y1": "13.3570500000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.65296667 13.018,-59.65296667 13.35705,-59.41725 13.35705,-59.41725 13.018,-59.65296667 13.018))", "date": "2019-05-05T14:21:02.661234", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:locations_2", "id": 4249, "owner__username": "gridanode", "popular_count": 924, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-eb28e989-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Oceanographic and Meteorological Stations-2017", "uuid": "eb28e989-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "LMEs are natural regions of ocean space encompassing coastal waters from river basins and estuaries to the seaward boundary of continental shelves and the outer margins of coastal currents. They are relatively large regions of 200,000 km2 or greater, the natural boundaries of which are based on four ecological criteria: bathymetry, hydrography, productivity, and trophically related populations.", "bbox_x0": "-88.9300078662", "bbox_x1": "-40.5016021733", "bbox_y0": "-3.3091669080", "bbox_y1": "27.3255612211", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-88.9300078662 -3.309166908,-88.9300078662 27.3255612211,-40.5016021733 27.3255612211,-40.5016021733 -3.309166908,-88.9300078662 -3.309166908))", "date": "2019-05-05T14:21:01.409302", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:lmes_clmeplus", "id": 4248, "owner__username": "gridanode", "popular_count": 964, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-eb28e988-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: BV_LMEs_ALL(M)_20171121_noscale", "uuid": "eb28e988-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a la posible ubicación de fututos oleoductos costa afuera del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.8296356201", "bbox_x1": "-61.8079109192", "bbox_y0": "9.9844036102", "bbox_y1": "12.5028085709", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8296356201 9.98440361023,-71.8296356201 12.5028085709,-61.8079109192 12.5028085709,-61.8079109192 9.98440361023,-71.8296356201 9.98440361023))", "date": "2019-05-05T14:20:58.394567", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:lineas_oleoductos", "id": 4247, "owner__username": "gridanode", "popular_count": 1169, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e8b1b0b9-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Líneas de oleoductos", "uuid": "e8b1b0b9-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset displays Contours derived from a bathymetric surface gridded from a LIDAR survey of Barbados performed in 1999. Aerial LIDAR has a maximum water penetration of about 40m and as such the LIDAR information (and resulting contours) do not extend far beyond this depth. LIDAR information was originally collected in the Barbados National Grid coordinate system and subsequently converted to WGS84 via a coordinate frame transformation.", "bbox_x0": "-59.6662700245", "bbox_x1": "-59.3954444089", "bbox_y0": "13.0247425713", "bbox_y1": "13.3505753539", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6662700245 13.0247425713,-59.6662700245 13.3505753539,-59.3954444089 13.3505753539,-59.3954444089 13.0247425713,-59.6662700245 13.0247425713))", "date": "2019-05-05T14:20:57.275631", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:lidarcontours_wgs_1984_newwww", "id": 4246, "owner__username": "gridanode", "popular_count": 1076, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e8b1b0b8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Bathymetry-1999-2m Resolution", "uuid": "e8b1b0b8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3723869966", "bbox_x1": "-77.3751467265", "bbox_y0": "17.8168554691", "bbox_y1": "18.5533647636", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3723869966 17.8168554691,-78.3723869966 18.5533647636,-77.3751467265 18.5533647636,-77.3751467265 17.8168554691,-78.3723869966 17.8168554691))", "date": "2019-05-05T14:20:55.020619", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:landc_w", "id": 4245, "owner__username": "gridanode", "popular_count": 920, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e75a167e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TR_JAM_Land Cover West Image of Jamaica", "uuid": "e75a167e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-77.4914124982", "bbox_x1": "-76.1547928898", "bbox_y0": "17.6845661340", "bbox_y1": "18.4995374413", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.4914124982 17.684566134,-77.4914124982 18.4995374413,-76.1547928898 18.4995374413,-76.1547928898 17.684566134,-77.4914124982 17.684566134))", "date": "2019-05-05T14:20:52.717745", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:landc_e", "id": 4244, "owner__username": "gridanode", "popular_count": 1054, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e5fac8c8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TR_JAM_Land Cover East Image of Jamaica", "uuid": "e5fac8c8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset shows Land use classification based on ground truthed aerial photogaphy. They are approximately five classifications. This data was provided by the Coastal Zone Management Unit of Barbados ca.1997.", "bbox_x0": "-59.6513944619", "bbox_x1": "-59.4191690344", "bbox_y0": "13.0436228915", "bbox_y1": "13.3370517638", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6513944619 13.0436228915,-59.6513944619 13.3370517638,-59.4191690344 13.3370517638,-59.4191690344 13.0436228915,-59.6513944619 13.0436228915))", "date": "2019-05-05T14:20:48.196085", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:land_use_wgs_84", "id": 4243, "owner__username": "gridanode", "popular_count": 1198, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e348c878-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BM-BRB_Land Use Classification - 1997-1:10000", "uuid": "e348c878-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.5168546622", "bbox_x1": "-78.3702482036", "bbox_y0": "18.4898618781", "bbox_y1": "18.6296853485", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.5168546622 18.4898618781,-78.5168546622 18.6296853485,-78.3702482036 18.6296853485,-78.3702482036 18.4898618781,-78.5168546622 18.4898618781))", "date": "2019-05-05T14:20:45.949352", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:land_leg_1", "id": 4242, "owner__username": "gridanode", "popular_count": 1005, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e14cae55-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TR_JAM_Land Cover Legend  of Jamaica", "uuid": "e14cae55-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las lagunas costeras son cuerpos de agua paralelos a la línea de costa, separados del océano por barras costeras o islas de origen marino y que no reciben descarga de aguas de drenaje por lo menos de forma permanente. Como documento guía para representar espacialmente lagunas costeras se utilizó el informe del estado de los ambientes marinos y costeros en Colombia\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-75.7176208496", "bbox_x1": "-72.2081756592", "bbox_y0": "9.3903741834", "bbox_y1": "11.9131593700", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-75.7176208496 9.39037418335,-75.7176208496 11.91315937,-72.2081756592 11.91315937,-72.2081756592 9.39037418335,-75.7176208496 9.39037418335))", "date": "2019-05-05T14:20:44.865532", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:lagunascosteras", "id": 4241, "owner__username": "gridanode", "popular_count": 807, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e14cae54-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Lagunas costeras - 2009 - 100.000", "uuid": "e14cae54-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a lagunas costeras del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-72.0562973022", "bbox_x1": "-63.0286140442", "bbox_y0": "10.0363712311", "bbox_y1": "12.0866661072", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.0562973022 10.0363712311,-72.0562973022 12.0866661072,-63.0286140442 12.0866661072,-63.0286140442 10.0363712311,-72.0562973022 10.0363712311))", "date": "2019-05-05T14:20:41.452290", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:lagunas_costeras", "id": 4240, "owner__username": "gridanode", "popular_count": 974, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-de98e147-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Lagunas costeras", "uuid": "de98e147-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer shows the competence area of the IOC Sub-Commission for the Caribbean and Adjacent Regions (IOCaribe). The area extends from Cape Hatteras (North Carolina, United States) in the north to the mouth of the Amazon river (Pará State, Brazil) in the south.", "bbox_x0": "-109.2368060000", "bbox_x1": "-43.9065489325", "bbox_y0": "-0.7223619819", "bbox_y1": "31.8040671281", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-109.236806 -0.722361981869,-109.236806 31.8040671281,-43.9065489325 31.8040671281,-43.9065489325 -0.722361981869,-109.236806 -0.722361981869))", "date": "2019-05-05T14:20:40.332507", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:iocaribe_area_contour", "id": 4239, "owner__username": "gridanode", "popular_count": 876, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-de98e146-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_IOCaribe area_15_2_2018_no scale", "uuid": "de98e146-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Proyecto: “Especies, ensamblajes y paisajes de los bloques marinos sujetos a exploración de hidrocarburos”  desarrollado por el INVEMAR en asocio con la Agencia Nacional de Hidrocarburos.\nCítese como: INVEMAR-ANH, 2008. Especies, ensamblajes y paisajes de los bloques marinos sujetos a exploración de hidrocarburos. Editores. Informe técnico final, Santa Marta, 461p + Anexos.", "bbox_x0": "-77.3864310380", "bbox_x1": "-70.9036683200", "bbox_y0": "7.6162777968", "bbox_y1": "12.5841601306", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.386431038 7.61627779675,-77.386431038 12.5841601306,-70.90366832 12.5841601306,-70.90366832 7.61627779675,-77.386431038 7.61627779675))", "date": "2019-05-05T14:20:38.809852", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:invemarsitiosprioritarios", "id": 4238, "owner__username": "gridanode", "popular_count": 789, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ddb08874-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Sitios prioritarios para la conservación-2008-100.000", "uuid": "ddb08874-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-89.8333358765", "bbox_x1": "-61.0200000000", "bbox_y0": "8.3999996185", "bbox_y1": "23.2093000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.8333358765 8.39999961853,-89.8333358765 23.2093,-61.02 23.2093,-61.02 8.39999961853,-89.8333358765 8.39999961853))", "date": "2019-05-05T14:20:35.358161", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:invasive_species_r", "id": 4237, "owner__username": "gridanode", "popular_count": 951, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-dba1d8e4-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-Caribbean-invasive_species", "uuid": "dba1d8e4-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a la localización de instalaciones petroleras existentes del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.5621487591", "bbox_x1": "-64.0227159571", "bbox_y0": "10.0486786839", "bbox_y1": "11.7597014672", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.5621487591 10.0486786839,-71.5621487591 11.7597014672,-64.0227159571 11.7597014672,-64.0227159571 10.0486786839,-71.5621487591 10.0486786839))", "date": "2019-05-05T14:20:33.024029", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ins_ptrl", "id": 4236, "owner__username": "gridanode", "popular_count": 972, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-da3db360-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Instalaciones petroleras", "uuid": "da3db360-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se observa presencia de bosques de Helechales\n\nEsta conformada por una asociación de helechos, principalmente helecho de manglar (Acrostichum aureum), entre otros no clasificados, además de la esporádica presencia de arracachos (Montrichardia arborescens), algunos pastos y vegetación flotante que cubre depresiones que se encuentran en su interior.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. 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Esta disponible en formato análogo a esacala 1:100.000 y formato digital.\n\nPosada, P., Blanca Oliva u Henao P., William, 2008. Diagnóstico de la erosión en la zona costera del Caribe colombiano. INVEMAR. Serie de publicaciones especiales No. 13, Santa Marta, 200 paginas.", "bbox_x0": "-77.5844792011", "bbox_x1": "-70.9466339618", "bbox_y0": "6.7974132168", "bbox_y1": "13.4352584561", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.5844792011 6.79741321684,-77.5844792011 13.4352584561,-70.9466339618 13.4352584561,-70.9466339618 6.79741321684,-77.5844792011 6.79741321684))", "date": "2019-05-05T14:20:21.662434", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:geomorfologia", "id": 4230, "owner__username": "gridanode", "popular_count": 927, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-d37827fe-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Geomorfología-2009-100.000", "uuid": "d37827fe-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Este shape es el resultado de una integracion de varios procesos de 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"supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-d1f3fa3e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Geomorfología de fondos profundos-2013-100.000", "uuid": "d1f3fa3e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Sediment samples taken throughout the Gulf of Paria were analyzed to derive the texture, and percentage of clay, silt and sand in the dry and wet season.", "bbox_x0": "-61.9047044082", "bbox_x1": "-61.4582572075", "bbox_y0": "10.1278462187", "bbox_y1": "10.6765122420", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9047044082 10.1278462187,-61.9047044082 10.676512242,-61.4582572075 10.676512242,-61.4582572075 10.1278462187,-61.9047044082 10.1278462187))", "date": "2019-05-05T14:20:16.501876", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:garb2", "id": 4228, "owner__username": "gridanode", "popular_count": 1141, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-d064b910-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Trinidad_sediment_textures_at_sediment_sampling_stations_in_Gulf_of_Paria_1998", "uuid": "d064b910-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Utilizing remotely sensed imagery and GNSS surveying\ntechniques through a multi-epoch approach (from 1994 to 2007) to shoreline change analysis, the degree to which\nthe horizontal shoreline position expanded or retreat was accurately assessed for Trinidad and\nTobago and areas of erosion and accretion identified.", "bbox_x0": "-61.9304017365", "bbox_x1": "-60.4944153350", "bbox_y0": "10.0355698508", "bbox_y1": "11.3511479221", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9304017365 10.0355698508,-61.9304017365 11.3511479221,-60.494415335 11.3511479221,-60.494415335 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10.0355698508))", "date": "2019-05-05T14:20:07.920131", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:garb1_1", "id": 4226, "owner__username": "gridanode", "popular_count": 874, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-cb472dbe-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Coasts_1994_2007", "uuid": "cb472dbe-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "REQUIRED: A brief narrative summary of the data set.", "bbox_x0": "-61.9304017365", "bbox_x1": "-60.4944153350", "bbox_y0": "10.0355698508", "bbox_y1": "11.3511479221", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9304017365 10.0355698508,-61.9304017365 11.3511479221,-60.494415335 11.3511479221,-60.494415335 10.0355698508,-61.9304017365 10.0355698508))", "date": "2019-05-05T14:20:06.388989", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:garb1", "id": 4225, "owner__username": "gridanode", "popular_count": 1123, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c9b55521-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "Coasts_1994_2007", "uuid": "c9b55521-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las formaciones coralinas, forman parte del paisaje marino constituidas por corales y moldeadas por procesos geomorfológicos y ecológicos muy particulares.\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-80.3081283569", "bbox_x1": "-75.3228225708", "bbox_y0": "8.6021594998", "bbox_y1": "14.4357805248", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-80.3081283569 8.60215949984,-80.3081283569 14.4357805248,-75.3228225708 14.4357805248,-75.3228225708 8.60215949984,-80.3081283569 8.60215949984))", "date": "2019-05-05T14:20:05.286591", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondosvegetadosalgascarnosas", "id": 4224, "owner__username": "gridanode", "popular_count": 903, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c9b55520-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SF1 2000, Metropolitan Statistical Areas: Population 80 Years of Age and Older (%)", "uuid": "c9b55520-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe la clasificación de fondos sedimentarios en el Caribe Colombiano.\n\nContiene:\n-Lodos litoclásticos\n-Lodos arenosos litobioclástico\n-Lodos arenosos litoclásticos\n-Lodos litobioclásticos\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-79.1842041016", "bbox_x1": "-70.8680953979", "bbox_y0": "1.3743985891", "bbox_y1": "12.5989265438", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-79.1842041016 1.37439858909,-79.1842041016 12.5989265438,-70.8680953979 12.5989265438,-70.8680953979 1.37439858909,-79.1842041016 1.37439858909))", "date": "2019-05-05T14:20:04.171501", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondosmovilesgranofinonocarbonatados", "id": 4223, "owner__username": "gridanode", "popular_count": 875, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c861dfa5-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Fondos moviles de grano fino no carbonatados", "uuid": "c861dfa5-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe la clasificación de fondos sedimentarios en el Caribe Colombiano.\n\nContiene:\n-Lodos biolitoclásticos\n-Lodos arenosos biolitoclástico\n-Lodos arenosos bioclásticos\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-75.8262413520", "bbox_x1": "-70.9418674760", "bbox_y0": "9.9407503237", "bbox_y1": "12.5801227466", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-75.826241352 9.94075032368,-75.826241352 12.5801227466,-70.941867476 12.5801227466,-70.941867476 9.94075032368,-75.826241352 9.94075032368))", "date": "2019-05-05T14:20:03.062120", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondosmovilesgranofinocarbonatados", "id": 4222, "owner__username": "gridanode", "popular_count": 985, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c861dfa4-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Clasificacion de fondos sedimentarios - 2009", "uuid": "c861dfa4-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Las praderas de fanerógamas marinas son el ambiente sedimentario somero más productivo. Este ecosistema es reconocido por su efecto estabilizador de la línea de costa, por ser hábitat y refugio de un gran número de especies marinas. En Colombia se encuentran 5 especies de pastos marinos: Thalassia testudinum, Halodule wrightii, Syringodium filiforme, Halophila baillonis y Halophila decipiens.\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-81.8956069946", "bbox_x1": "-71.2144851685", "bbox_y0": "8.3007678983", "bbox_y1": "13.4256248470", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.8956069946 8.30076789829,-81.8956069946 13.425624847,-71.2144851685 13.425624847,-71.2144851685 8.30076789829,-81.8956069946 8.30076789829))", "date": "2019-05-05T14:20:00.277494", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_vegetados_por_fanerogamas", "id": 4221, "owner__username": "gridanode", "popular_count": 917, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c6b90d12-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Praderas de fanerógamas - 2009", "uuid": "c6b90d12-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe la clasificación de fondos sedimentarios en el Caribe Colombiano\n\nContiene:\n-Arenas lodosas litobioclástica\n-Arenas litobioclásticas\n-Arenas lodosas litoclásticas\n-Arenas litoclásticas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-79.2879486084", "bbox_x1": "-71.0435333252", "bbox_y0": "1.3525120019", "bbox_y1": "12.6276407238", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-79.2879486084 1.35251200195,-79.2879486084 12.6276407238,-71.0435333252 12.6276407238,-71.0435333252 1.35251200195,-79.2879486084 1.35251200195))", "date": "2019-05-05T14:19:59.182049", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_moviles_de_grano_grueso_no_carbonatados", "id": 4220, "owner__username": "gridanode", "popular_count": 990, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c566bdd9-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "SF1 2000: Occupied Housing Units (%)", "uuid": "c566bdd9-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe la clasificación de fondos sedimentarios en el Caribe Colombiano\n\nContiene:\n-Arenas lodosas biolitoclástica\n-Arenas biolitoclásticas\n-Arenas bioclásticas\n-Arenas lodosas bioclásticas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-79.2143325806", "bbox_x1": "-70.9115905762", "bbox_y0": "2.0776510238", "bbox_y1": "12.6229915615", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-79.2143325806 2.0776510238,-79.2143325806 12.6229915615,-70.9115905762 12.6229915615,-70.9115905762 2.0776510238,-79.2143325806 2.0776510238))", "date": "2019-05-05T14:19:58.061237", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_moviles_de_grano_grueso_carbonatados", "id": 4219, "owner__username": "gridanode", "popular_count": 896, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c566bdd8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Fondos sedimentarios - 2009", "uuid": "c566bdd8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Corresponden a fondos conformados por nódulos\nredondeados de algas pétreas, principalmente\nLitothamnion sp. (Rodolitos)\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-81.9110946655", "bbox_x1": "-74.0503616333", "bbox_y0": "8.9990739819", "bbox_y1": "14.5201406474", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.9110946655 8.99907398195,-81.9110946655 14.5201406474,-74.0503616333 14.5201406474,-74.0503616333 8.99907398195,-81.9110946655 8.99907398195))", "date": "2019-05-05T14:19:56.951272", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_duros_de_algas_calcareas", "id": 4218, "owner__username": "gridanode", "popular_count": 1028, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c415d20d-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Fondos duros de algas calcáreas (Rodolitos) - 2009", "uuid": "c415d20d-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de fondos duros del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.1090621948", "bbox_x1": "-61.9653587341", "bbox_y0": "10.1527671814", "bbox_y1": "12.5752887726", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.1090621948 10.1527671814,-71.1090621948 12.5752887726,-61.9653587341 12.5752887726,-61.9653587341 10.1527671814,-71.1090621948 10.1527671814))", "date": "2019-05-05T14:19:55.852864", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_duros", "id": 4217, "owner__username": "gridanode", "popular_count": 951, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c415d20c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Fondos duros", "uuid": "c415d20c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de fondos arenoso fangosos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.1424942017", "bbox_x1": "-61.8203239441", "bbox_y0": "10.1038265228", "bbox_y1": "12.7223424911", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.1424942017 10.1038265228,-71.1424942017 12.7223424911,-61.8203239441 12.7223424911,-61.8203239441 10.1038265228,-71.1424942017 10.1038265228))", "date": "2019-05-05T14:19:53.282604", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fondos_arenosos_fangosos1", "id": 4216, "owner__username": "gridanode", "popular_count": 887, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-c28dbd50-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Fondos arenosos fangosos", "uuid": "c28dbd50-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dataset shows the Folkestone Park and Marine Reserve area. This site is currently the only designated marine protected area in Barbados. This Park spans several kilometres along the mid-west coast and currently has four well developed fringing reefs, several patch reefs and an offshore bank reef. There are currently four reserve zones: Two sport areas (Northern and Southern Watersports Zones) where motorized aquatic sports such as water skiing, jet skiing and para-sailing are permitted, a Scientific zone and a Recreation zone which permits snorkelling , swimming etc.", "bbox_x0": "-59.6536398348", "bbox_x1": "-59.6299924957", "bbox_y0": "13.1702088922", "bbox_y1": "13.1938562313", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6536398348 13.1702088922,-59.6536398348 13.1938562313,-59.6299924957 13.1938562313,-59.6299924957 13.1702088922,-59.6536398348 13.1702088922))", "date": "2019-05-05T14:19:48.009064", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:folkestone_detailed1", "id": 4215, "owner__username": "gridanode", "popular_count": 1109, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-bf690008-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Marine Protected Area - Folkestone Park and Marine Reserve - 1998 -1:10000", "uuid": "bf690008-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Discontinuidad de la corteza terrestre\n\nINVEMAR. Programa holandés de asistencia para estudios en cambio climático NCCSAP: Colombia. Definición de la vulnerabilidad de los sistemas bio-geofísicos y socioeconómicos debido a un cambio en el nivel del mar en la zona costera colombiana (Caribe continental, Caribe insular y Pacífico) y medidas para su adaptación. Vides, M. Editor.  Instituto de Investigaciones Marinas y Costeras \"José Benito Vives de Andréis\". Santa Marta. 2003.", "bbox_x0": "-77.3904571533", "bbox_x1": "-71.0934524536", "bbox_y0": "8.2538204190", "bbox_y1": "12.1435251232", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.3904571533 8.25382041904,-77.3904571533 12.1435251232,-71.0934524536 12.1435251232,-71.0934524536 8.25382041904,-77.3904571533 8.25382041904))", "date": "2019-05-05T14:19:45.342151", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:fallageologica", "id": 4214, "owner__username": "gridanode", "popular_count": 828, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-bdd20a1e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Falla Geológica-2003-300.000", "uuid": "bdd20a1e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Cuerpos sedimentarios con características homogéneas\n\nCIOH", "bbox_x0": "-77.4172592163", "bbox_x1": "-70.4692230225", "bbox_y0": "7.7074356077", "bbox_y1": "12.7813253399", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.4172592163 7.70743560766,-77.4172592163 12.7813253399,-70.4692230225 12.7813253399,-70.4692230225 7.70743560766,-77.4172592163 7.70743560766))", "date": "2019-05-05T14:19:42.708505", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:faciessedimentarias", "id": 4213, "owner__username": "gridanode", "popular_count": 1096, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-bc402ed8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Facies Sedimentarias-1999-300.000", "uuid": "bc402ed8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This datasets displays Important Bird & Biodiversity Areas (IBA)  located around the island of Barbados. They are appoximately 8 sites.  This data was provided  by Bird Life Data Zone c.a 1997.", "bbox_x0": "-59.6381543042", "bbox_x1": "-59.4448591681", "bbox_y0": "13.0590745804", "bbox_y1": "13.3395699734", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6381543042 13.0590745804,-59.6381543042 13.3395699734,-59.4448591681 13.3395699734,-59.4448591681 13.0590745804,-59.6381543042 13.0590745804))", "date": "2019-05-05T14:19:39.948144", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:export_output", "id": 4212, "owner__username": "gridanode", "popular_count": 1159, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b9f44c41-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Important Bird Areas (IBA) - 2009 -1:10000", "uuid": "b9f44c41-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Son cuerpos de agua semicerrados donde ocurre la mezcla de aguas marinas y dulces. Suelen ser áreas de desove de muchas especies marinas y de refugio para sus larvas y juveniles\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-78.9189453125", "bbox_x1": "-75.5038604736", "bbox_y0": "1.3896740675", "bbox_y1": "10.2718515393", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.9189453125 1.38967406745,-78.9189453125 10.2718515393,-75.5038604736 10.2718515393,-75.5038604736 1.38967406745,-78.9189453125 1.38967406745))", "date": "2019-05-05T14:19:38.855109", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:estuarios", "id": 4211, "owner__username": "gridanode", "popular_count": 1135, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b9f44c40-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Estuarios-2009-100.000", "uuid": "b9f44c40-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Estaciones Oceanograficas RD", "bbox_x0": "-70.7311300000", "bbox_x1": "-69.5800200000", "bbox_y0": "18.4251764342", "bbox_y1": "19.8408802439", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-70.73113 18.4251764342,-70.73113 19.8408802439,-69.58002 19.8408802439,-69.58002 18.4251764342,-70.73113 18.4251764342))", "date": "2019-05-05T14:19:36.105630", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:est_oceanograficas", "id": 4210, "owner__username": "gridanode", "popular_count": 940, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b850acb2-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_Estaciones Oceanograficas", "uuid": "b850acb2-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de distribución de especies pelágicas menores del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.9354413806", "bbox_x1": "-61.7212980905", "bbox_y0": "10.1258548460", "bbox_y1": "12.8167083737", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.9354413806 10.125854846,-71.9354413806 12.8167083737,-61.7212980905 12.8167083737,-61.7212980905 10.125854846,-71.9354413806 10.125854846))", "date": "2019-05-05T14:19:34.803292", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:especies_pelagicas_menores", "id": 4209, "owner__username": "gridanode", "popular_count": 941, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b6e14a95-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Distribucion de especies pelagicas menores", "uuid": "b6e14a95-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de distribución de especies pelágicas mayores del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-70.0159516174", "bbox_x1": "-61.7212980905", "bbox_y0": "10.4383422081", "bbox_y1": "12.9991026997", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-70.0159516174 10.4383422081,-70.0159516174 12.9991026997,-61.7212980905 12.9991026997,-61.7212980905 10.4383422081,-70.0159516174 10.4383422081))", "date": "2019-05-05T14:19:33.697643", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:especies_pelagicas_mayores", "id": 4208, "owner__username": "gridanode", "popular_count": 921, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b6e14a94-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Distribucion de especies pelagicas mayores", "uuid": "b6e14a94-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de distribución de especies dermesales del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.9686727315", "bbox_x1": "-61.8698113515", "bbox_y0": "10.0603223084", "bbox_y1": "12.3242552012", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.9686727315 10.0603223084,-71.9686727315 12.3242552012,-61.8698113515 12.3242552012,-61.8698113515 10.0603223084,-71.9686727315 10.0603223084))", "date": "2019-05-05T14:19:30.979381", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:especies_demersales", "id": 4207, "owner__username": "gridanode", "popular_count": 1005, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b54283ce-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Distribucion de especies demersales", "uuid": "b54283ce-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. 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{"abstract": "Esta capa se genera con el objetivo de actualizar el Mapa de Ecosistemas Marinos de Colombia a una escala 1:100.000.", "bbox_x0": "-81.9059172550", "bbox_x1": "-71.1374138460", "bbox_y0": "8.2663769047", "bbox_y1": "16.1624984345", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.905917255 8.26637690473,-81.905917255 16.1624984345,-71.137413846 16.1624984345,-71.137413846 8.26637690473,-81.905917255 8.26637690473))", "date": "2019-05-05T14:19:25.591061", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:ecosistemasmarinoscaribe", "id": 4205, "owner__username": "gridanode", "popular_count": 1087, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-b20c51da-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Ecosistemas marinos en el Caribe-2014-100.000", "uuid": 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terrestrial area that drains to the Caribbean Large Marine Ecosystem, including continental area and islands.", "bbox_x0": "-109.2415771484", "bbox_x1": "-59.4207763672", "bbox_y0": "1.5582885742", "bbox_y1": "27.2750854492", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-109.241577148 1.55828857422,-109.241577148 27.2750854492,-59.4207763672 27.2750854492,-59.4207763672 1.55828857422,-109.241577148 1.55828857422))", "date": "2019-05-05T14:19:20.646327", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:dissol_caribe", "id": 4202, "owner__username": "gridanode", "popular_count": 972, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-af19ba8a-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Drainage area CLME (D)_20171121_noscale", "uuid": "af19ba8a-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "La importancia de las cuevas en la República\nDominicana radica en tres aspectos fundamentales: El\ninterés hídrico, por la abundancia del agua que corre\nsubterráneamente; el interés biológico, por ser el\nhábitat de las 18 especies de murciélagos reportadas\nen el país, y la cantidad de familias, géneros y especies\nque se desarrollan en ellas; el interés histórico-cultural\ny por sus abundantes vestigios de restos de culturas\naborígenes.", "bbox_x0": "-71.8470187556", "bbox_x1": "-68.4194156251", "bbox_y0": "17.5561058550", "bbox_y1": "19.9179649492", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.8470187556 17.556105855,-71.8470187556 19.9179649492,-68.4194156251 19.9179649492,-68.4194156251 17.556105855,-71.8470187556 17.556105855))", "date": "2019-05-05T14:19:17.789373", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:cuevas", "id": 4201, "owner__username": "gridanode", "popular_count": 1086, "rating": 0, "share_count": 0, "srid": 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"thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-abc26a4e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_RGF membership_CRFM(D)_20171121_noscale", "uuid": "abc26a4e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Coastal Planning Regions 3km zone of influence: Produced in 2010 by CZMAI with a preferential scale of 1:100,000.  With a national coverage in polygon format.", "bbox_x0": "-88.9637052374", "bbox_x1": "-87.3767606700", "bbox_y0": "15.8908880087", "bbox_y1": "18.4901634897", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-88.9637052374 15.8908880087,-88.9637052374 18.4901634897,-87.37676067 18.4901634897,-87.37676067 15.8908880087,-88.9637052374 15.8908880087))", "date": "2019-05-05T14:19:10.675114", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:cp_regions_3kmbufferv2", "id": 4199, "owner__username": "gridanode", "popular_count": 1282, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a928380e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BELIZE-Coastal Planning Regions-100.000-2010", "uuid": "a928380e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Layer with many different attributes! the most important ones:\n- Countries that have endorsed the CLME+ Strategic Action Programme (update May 2017)\n- Country membership to regional organizations and conventions\n- Names of countries in 3 languages", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-33.7470817566", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -33.7470817566,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -33.7470817566,-178.303604126 -33.7470817566))", "date": "2019-05-05T14:19:08.143285", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:countries_clme2", "id": 4198, "owner__username": "gridanode", "popular_count": 961, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a7a5f7fa-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_RGF membership ALL (M)_20171201_noscale", "uuid": "a7a5f7fa-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Propuesta metodológica para realizar la caracterización de las coberturas naturales y antropizadas presentes en el territorio colombiano.\nIDEAM, 2010. Leyenda Nacional de Coberturas de la Tierra. Metodología CORINE Land Cover adaptada para\nColombia Escala 1:100.000. Instituto de Hidrología, Meteorología y Estudios Ambientales. Bogotá, D. C., 72p.\nLas coberturas de la tierra proporcionan información fundamental para diversos procesos nacionales como los mapas de ecosistemas, conflictos de uso del territorio, ordenación de cuencas y del territorio, seguimiento a la deforestación de los bosques, y los inventarios forestales, sólo por citar algunos", "bbox_x0": "-77.9802276587", "bbox_x1": "-71.0728363371", "bbox_y0": "6.6153264408", "bbox_y1": "12.5010060404", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.9802276587 6.61532644079,-77.9802276587 12.5010060404,-71.0728363371 12.5010060404,-71.0728363371 6.61532644079,-77.9802276587 6.61532644079))", "date": "2019-05-05T14:19:05.946381", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:corinelandcover", "id": 4197, "owner__username": "gridanode", "popular_count": 932, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a656b984-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Cobertura Corine Land Cover adaptada para Colombia-2010-100.000", "uuid": "a656b984-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se observa presencia de bosques de corchales , asociación vegetal dominada por la especie Pterocarpus officinalis. Asociada a sitios cercanos a ecosistemas de manglar, la cual forma rodales.\nActualmente, solo se encuentran algunos parches\ndominados por esta especie principalmente en la desembocadura del río San Salvador y en el Santuario de Flora y Fauna Mono Hernández\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-75.5727745070", "bbox_x1": "-75.4168116650", "bbox_y0": "9.9778530197", "bbox_y1": "10.0462857747", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-75.572774507 9.97785301968,-75.572774507 10.0462857747,-75.416811665 10.0462857747,-75.416811665 9.97785301968,-75.572774507 9.97785301968))", "date": "2019-05-05T14:19:03.093358", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:corchales", "id": 4196, "owner__username": "gridanode", "popular_count": 944, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a4a35868-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Presencia de bosques de corchales - 2009", "uuid": "a4a35868-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Produced in 2005 by Coastal Zone Management Authority & Institute - CZMAI (UNDP-GEF CZM Project) with a preferencial scale of 1:100,000. With a national coverage in polygon data format.", "bbox_x0": "-88.8799057010", "bbox_x1": "-87.4530639650", "bbox_y0": "15.9481573100", "bbox_y1": "18.1842653960", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-88.879905701 15.94815731,-88.879905701 18.184265396,-87.453063965 18.184265396,-87.453063965 15.94815731,-88.879905701 15.94815731))", "date": "2019-05-05T14:18:59.639202", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:corals3", "id": 4195, "owner__username": "gridanode", "popular_count": 915, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a2946b5c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_BELIZE_Coral reefs_100.000_2005", "uuid": "a2946b5c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de arrecifes coralinos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.3762783125", "bbox_x1": "-63.0390616952", "bbox_y0": "10.2384286758", "bbox_y1": "12.1739453788", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.3762783125 10.2384286758,-71.3762783125 12.1739453788,-63.0390616952 12.1739453788,-63.0390616952 10.2384286758,-71.3762783125 10.2384286758))", "date": "2019-05-05T14:18:56.270396", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:coralesven", "id": 4194, "owner__username": "gridanode", "popular_count": 1049, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9fe962cd-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Comunidades Coralinas", "uuid": "9fe962cd-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de arrecifes coralinos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-69.9734802246", "bbox_x1": "-63.0045585632", "bbox_y0": "10.2287502289", "bbox_y1": "12.1836233139", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-69.9734802246 10.2287502289,-69.9734802246 12.1836233139,-63.0045585632 12.1836233139,-63.0045585632 10.2287502289,-69.9734802246 10.2287502289))", "date": "2019-05-05T14:18:55.163681", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:corales_someros", "id": 4193, "owner__username": "gridanode", "popular_count": 1018, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9fe962cc-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Corales someros", "uuid": "9fe962cc-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a posibles comunidades de corales profundos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-68.4362794974", "bbox_x1": "-63.3534025895", "bbox_y0": "10.5809988167", "bbox_y1": "12.5386603100", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-68.4362794974 10.5809988167,-68.4362794974 12.53866031,-63.3534025895 12.53866031,-63.3534025895 10.5809988167,-68.4362794974 10.5809988167))", "date": "2019-05-05T14:18:52.315354", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:corales_profundos", "id": 4192, "owner__username": "gridanode", "popular_count": 950, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9e3692c4-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Corales profundos", "uuid": "9e3692c4-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer (zip file) shows the coverage of the coral reefs in the Wider Caribbean Region (2009 estimations). The coral reef habitat lies within the \"Coral  reef sub-ecosystem\" which also hosts mangroves and seagrasses. This sub-ecosystem receives special attention in the CLME+ SAP due to the importance of the spiny lobster and queen conch fisheries for local livelihoods.", "bbox_x0": "-109.8709442552", "bbox_x1": "-28.8364061913", "bbox_y0": "-20.5141182889", "bbox_y1": "27.9185654353", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-109.870944255 -20.5141182889,-109.870944255 27.9185654353,-28.8364061913 27.9185654353,-28.8364061913 -20.5141182889,-109.870944255 -20.5141182889))", "date": "2019-05-05T14:18:49.346252", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:coral_reefs", "id": 4191, "owner__username": "gridanode", "popular_count": 0, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "CLME: TV_WCR_Subecosystems_Coral_reefs (D)_20171204_noscale", "uuid": "9c7182a0-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This line is an approximation of the outer limits of the Cartagena Convention area, defined by the Convention's text is \"The \"Convention area\" means the marine environment of the Gulf of Mexico, the Caribbean Sea and the areas of the Atlantic Ocean adjacent thereto, south of 30 north latitude and within 200 nautical miles of the Atlantic coasts of the States referred to in article 25 of the Convention\".", "bbox_x0": "-124.7630560000", "bbox_x1": "-49.4178293540", "bbox_y0": "4.0596505028", "bbox_y1": "48.7887220000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-124.763056 4.05965050285,-124.763056 48.788722,-49.417829354 48.788722,-49.417829354 4.05965050285,-124.763056 4.05965050285))", "date": "2019-05-05T14:18:47.039278", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:conv_area_contour_split_1", "id": 4190, "owner__username": "gridanode", "popular_count": 926, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9b11bf42-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Cartagena Convention area_20171121_noscale", "uuid": "9b11bf42-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays the approximate outer limits of the Cartagena Convention area, as defined in the text of the Convention.\nThe full name of this Convention is \"Cartagena Convention for the Protection and Development of the Marine Environment of the Greater Caribbean region\".", "bbox_x0": "-124.7630560000", "bbox_x1": "-49.4178293540", "bbox_y0": "4.0596505028", "bbox_y1": "48.7887220000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-124.763056 4.05965050285,-124.763056 48.788722,-49.417829354 48.788722,-49.417829354 4.05965050285,-124.763056 4.05965050285))", "date": "2019-05-05T14:18:44.044831", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:conv_area_contour_split", "id": 4189, "owner__username": "gridanode", "popular_count": 965, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9948daf6-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WIDER CARIBBEAN_CARTAGENA CONV_2017", "uuid": "9948daf6-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de presencia de mamiferos marinos y acuaticos. (cetáceos, manatíes, nutrias)\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Técnico: Planificación ecorregional para la conservación in situ de la biodiversidad marina y costera en el Caribe y Pacífico continental colombiano. Alonso, D., Ramírez, L. F., Segura- Quintero, C., Castillo-Torres, P., Díaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-77.2845230103", "bbox_x1": "-71.9345474243", "bbox_y0": "8.0026369092", "bbox_y1": "12.2916393276", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.2845230103 8.00263690922,-77.2845230103 12.2916393276,-71.9345474243 12.2916393276,-71.9345474243 8.00263690922,-77.2845230103 8.00263690922))", "date": "2019-05-05T14:18:42.918749", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:congregacion_y_alimentacion_mamiferos_acuaticos", "id": 4188, "owner__username": "gridanode", "popular_count": 966, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-989cf20e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Áreas de congregación, alimentación, reproducción de mamíferos acuáticos (cetáceos, manatíes, nutrias) - 2009", "uuid": "989cf20e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Este vector muestra el objeto de conservación referente a las áreas donde se ha tenido reporte de presencia de crocodylus acutus.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.\n\n\nA pesar de que se tienen identificadas las áreas donde se localiza esta especie, no se dispone de información georeferenciada que permita representarlas  gráficamente. En este caso la estrategia utilizada fue demarcar con ayuda de los expertos los sitios con poblaciones de C. acutus en el SIG y posteriormente generar un buffer de 500 a 1000 m según el área. Los puntos se marcaron de acuerdo a los sitos reportados,\nasociados a desembocaduras de los caños en las Ciénagas o en los Estuarios (Ulloa, com. pers., 2006).", "bbox_x0": "-76.9261697590", "bbox_x1": "-71.5549943890", "bbox_y0": "8.0230070007", "bbox_y1": "12.4348666776", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.926169759 8.02300700074,-76.926169759 12.4348666776,-71.554994389 12.4348666776,-71.554994389 8.02300700074,-76.926169759 8.02300700074))", "date": "2019-05-05T14:18:40.867212", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:concentracion_de_crocodrylus_acutus", "id": 4187, "owner__username": "gridanode", "popular_count": 1124, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-96be7265-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Área con presencia de Crocodylus acutus - 2009", "uuid": "96be7265-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Population estimates for Colombia coastal municipalities. 2005-2016", "bbox_x0": "-81.9502451272", "bbox_x1": "-70.8987344068", "bbox_y0": "4.9047210429", "bbox_y1": "15.9562317634", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.9502451272 4.90472104295,-81.9502451272 15.9562317634,-70.8987344068 15.9562317634,-70.8987344068 4.90472104295,-81.9502451272 4.90472104295))", "date": "2019-05-05T14:18:39.781979", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:col_poblacion_municipioscosteros", "id": 4186, "owner__username": "gridanode", "popular_count": 1015, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-96be7264-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_COL_Population_coastal_municipalities_2005-2016", "uuid": "96be7264-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Capa de áreas protegidas, fuente RUNAP", "bbox_x0": "-77.4487493810", "bbox_x1": "-71.1984902990", "bbox_y0": "7.0372397568", "bbox_y1": "12.2857172236", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.448749381 7.03723975677,-77.448749381 12.2857172236,-71.198490299 12.2857172236,-71.198490299 7.03723975677,-77.448749381 7.03723975677))", "date": "2019-05-05T14:18:36.929062", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:col_areas_protegidas_caribe", "id": 4185, "owner__username": "gridanode", "popular_count": 1098, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-950afa96-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "col_areas_protegidas_caribe", "uuid": "950afa96-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Digital protected area polygon data was created using the legal descritpions of the boundaries as published on the Government Gazette Statutory Instruments (legal decrees).\n\nCoastal Reserves 2014: Produced in 2014 by Land Information Centre/CZMAI with a preferential scale of 1:100,000.  With a national coverage in polygon format", "bbox_x0": "-88.7975725251", "bbox_x1": "-87.4351139523", "bbox_y0": "16.0464293651", "bbox_y1": "18.4925424825", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-88.7975725251 16.0464293651,-88.7975725251 18.4925424825,-87.4351139523 18.4925424825,-87.4351139523 16.0464293651,-88.7975725251 16.0464293651))", "date": "2019-05-05T14:18:33.073400", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:coastal_reserves_2014", "id": 4184, "owner__username": "gridanode", "popular_count": 1030, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-92beb480-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_BELIZE_Coastal protected areas_100.000_2014", "uuid": "92beb480-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "CMA - Tamaño de píxel 1,8 metros", "bbox_x0": "-90.0467819673", "bbox_x1": "-49.9653249304", "bbox_y0": "-0.2092175766", "bbox_y1": "32.1824986884", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-90.0467819673 -0.209217576558,-90.0467819673 32.1824986884,-49.9653249304 32.1824986884,-49.9653249304 -0.209217576558,-90.0467819673 -0.209217576558))", "date": "2019-05-05T14:18:30.101934", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:cma_aoib", "id": 4183, "owner__username": "gridanode", "popular_count": 945, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-90f93b5c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BR-CARIBBEAN-Modelo de sombras", "uuid": "90f93b5c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer shows the  countries that have ratified the CLME+ Strategic Action Programme (SAP) as of November 2017. This are 35 Ministers representing 25 countries and 6 overseas territories", "bbox_x0": "-178.3036041260", "bbox_x1": "166.6575012207", "bbox_y0": "-33.7470817566", "bbox_y1": "49.3832969666", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-178.303604126 -33.7470817566,-178.303604126 49.3832969666,166.657501221 49.3832969666,166.657501221 -33.7470817566,-178.303604126 -33.7470817566))", "date": "2019-05-05T14:18:27.165242", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:clme_sap_2017", "id": 4182, "owner__username": "gridanode", "popular_count": 936, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8f393ccc-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_SAP endorsements ALL(M)_20171121_noscale", "uuid": "8f393ccc-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Cities and towns Caribbean - BM-CARIBBEAN", "bbox_x0": "-89.9300000000", "bbox_x1": "-51.0500000000", "bbox_y0": "0.0333333000", "bbox_y1": "30.6800000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-89.93 0.0333333,-89.93 30.68,-51.05 30.68,-51.05 0.0333333,-89.93 0.0333333))", "date": "2019-05-05T14:18:25.749810", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:cities_and_towns", "id": 4181, "owner__username": "gridanode", "popular_count": 1196, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8e6145c4-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BM-CARIBBEAN-Cities and towns", "uuid": "8e6145c4-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a zonas de distribución de cetáceos marinos del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": 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The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-76.9060471662", "bbox_x1": "-76.1730571118", "bbox_y0": "17.8264173084", "bbox_y1": "18.4282249988", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.9060471662 17.8264173084,-76.9060471662 18.4282249988,-76.1730571118 18.4282249988,-76.1730571118 17.8264173084,-76.9060471662 17.8264173084))", "date": "2019-05-05T14:17:42.779495", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bote_2", "id": 4162, "owner__username": "gridanode", "popular_count": 1018, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-74c46dbc-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Bottom East", "uuid": "74c46dbc-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a bosques de manglar del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-72.0491714478", "bbox_x1": "-63.3091468811", "bbox_y0": "10.0482826233", "bbox_y1": "12.0536174774", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.0491714478 10.0482826233,-72.0491714478 12.0536174774,-63.3091468811 12.0536174774,-63.3091468811 10.0482826233,-72.0491714478 10.0482826233))", "date": "2019-05-05T14:17:40.758322", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bosques_manglares", "id": 4161, "owner__username": "gridanode", "popular_count": 1046, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-739020f8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Bosques de manglares", "uuid": "739020f8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Regional corporations in Trinidad are roughly equivalent to municipalities.", "bbox_x0": "-61.9302019811", "bbox_x1": "-60.9090152146", "bbox_y0": "10.0438726494", "bbox_y1": "10.8443480366", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9302019811 10.0438726494,-61.9302019811 10.8443480366,-60.9090152146 10.8443480366,-60.9090152146 10.0438726494,-61.9302019811 10.0438726494))", "date": "2019-05-05T14:17:37.265549", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bm_trinidad_regional_corporations_municipalities_2000_25000_2", "id": 4160, "owner__username": "gridanode", "popular_count": 929, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-717b123c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_TRINIDAD - Regional corporations", "uuid": "717b123c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer displays roads of Trinidad and Tobago", "bbox_x0": "-61.9302384144", "bbox_x1": "-60.5218704819", "bbox_y0": "10.0432946352", "bbox_y1": "11.3308105609", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-61.9302384144 10.0432946352,-61.9302384144 11.3308105609,-60.5218704819 11.3308105609,-60.5218704819 10.0432946352,-61.9302384144 10.0432946352))", "date": "2019-05-05T14:17:35.447830", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bm_trinidad_and_tobago_roads_2000_25000", "id": 4159, "owner__username": "gridanode", "popular_count": 929, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7065d1e8-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "BM_TTO_Trinidad_and_Tobago_roads_2000_25000", "uuid": "7065d1e8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The parishes of Tobago", "bbox_x0": "-60.8464777285", "bbox_x1": "-60.5172957621", "bbox_y0": "11.1338745706", "bbox_y1": "11.3466831283", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-60.8464777285 11.1338745706,-60.8464777285 11.3466831283,-60.5172957621 11.3466831283,-60.5172957621 11.1338745706,-60.8464777285 11.1338745706))", "date": "2019-05-05T14:17:31.830339", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bm_tobago_parishes_2000_10000", "id": 4158, "owner__username": "gridanode", "popular_count": 991, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6e3dc7e0-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_TOBAGO - Administrative regions", "uuid": "6e3dc7e0-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "El conjunto de datos contenidos en este archivo corresponde a la división de las área de explotación en bloques y subbloques costa afuera del área correspondiente al Mar Caribe venezolano hasta una latitud de trece grados norte.", "bbox_x0": "-71.9412074754", "bbox_x1": "-61.7308913976", "bbox_y0": "10.8408656505", "bbox_y1": "12.8219247207", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-71.9412074754 10.8408656505,-71.9412074754 12.8219247207,-61.7308913976 12.8219247207,-61.7308913976 10.8408656505,-71.9412074754 10.8408656505))", "date": "2019-05-05T14:17:30.720214", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bloquescostaafuera1", "id": 4157, "owner__username": "gridanode", "popular_count": 1102, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6ceafa35-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Bloques de exploración", "uuid": "6ceafa35-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Grandes ecosistemas terrestres\n\nINVEMAR. Programa holandés de asistencia para estudios en cambio climático NCCSAP: Colombia. Definición de la vulnerabilidad de los sistemas bio-geofísicos y socioeconómicos debido a un cambio en el nivel del mar en la zona costera colombiana (Caribe continental, Caribe insular y Pacífico) y medidas para su adaptación. Vides, M. Editor.  Instituto de Investigaciones Marinas y Costeras \"José Benito Vives de Andréis\". Santa Marta. 2003.", "bbox_x0": "-77.3828640234", "bbox_x1": "-70.5036193210", "bbox_y0": "7.7325543766", "bbox_y1": "12.7562067717", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.3828640234 7.7325543766,-77.3828640234 12.7562067717,-70.503619321 12.7562067717,-70.503619321 7.7325543766,-77.3828640234 7.7325543766))", "date": "2019-05-05T14:17:29.609718", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:biomasfinal", "id": 4156, "owner__username": "gridanode", "popular_count": 1007, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6ceafa34-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Biomas-2003-300.000", "uuid": "6ceafa34-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Surveys of the marine habitats along the South-East,East and North-West coasts of Barbados from inter tidal zone to the 50 metre depth contour. Using walkover , scuba diving and snorkel survey techniques.The extents were from Maycocks Bay, between Harrison Point and Arawak Cement plant to South Point . This data was provided by in August 1998.", "bbox_x0": "-59.6657459983", "bbox_x1": "-59.3951129381", "bbox_y0": "13.0250773426", "bbox_y1": "13.3502552479", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6657459983 13.0250773426,-59.6657459983 13.3502552479,-59.3951129381 13.3502552479,-59.3951129381 13.0250773426,-59.6657459983 13.0250773426))", "date": "2019-05-05T14:17:26.637585", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:benthic_habitat_wgs84_2", "id": 4155, "owner__username": "gridanode", "popular_count": 1070, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6b255b90-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Benthic Habitat (South and East Coast)-1998-1:5000", "uuid": "6b255b90-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3424520955", "bbox_x1": "-76.2123946075", "bbox_y0": "17.7386412276", "bbox_y1": "18.5248158757", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3424520955 17.7386412276,-78.3424520955 18.5248158757,-76.2123946075 18.5248158757,-76.2123946075 17.7386412276,-78.3424520955 17.7386412276))", "date": "2019-05-05T14:17:23.665031", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:beachl_2", "id": 4154, "owner__username": "gridanode", "popular_count": 1062, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-695fe7e4-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Beachline", "uuid": "695fe7e4-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3424520955", "bbox_x1": "-76.4051787176", "bbox_y0": "17.7386412276", "bbox_y1": "18.5248158757", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3424520955 17.7386412276,-78.3424520955 18.5248158757,-76.4051787176 18.5248158757,-76.4051787176 17.7386412276,-78.3424520955 17.7386412276))", "date": "2019-05-05T14:17:20.680397", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:beachinv", "id": 4153, "owner__username": "gridanode", "popular_count": 1014, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-67985ea0-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Beach Inventory", "uuid": "67985ea0-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "This dateset displays beaches around the island of Barbados.  This dataset began with a compilation of various datasets, supplemented with any original digitization efforts. This information was then checked against high resolution satellite imagery where available from Bing and Esri imagery basemaps. Errors and misrepresentations in the base information were modified through heads up digitization from the high resolution imagery. Omissions of coverage were corrected by creating new polygons to match visible beaches.", "bbox_x0": "-59.6539965744", "bbox_x1": "-59.4189433480", "bbox_y0": "13.0452610060", "bbox_y1": "13.3307696389", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.6539965744 13.045261006,-59.6539965744 13.3307696389,-59.418943348 13.3307696389,-59.418943348 13.045261006,-59.6539965744 13.045261006))", "date": "2019-05-05T14:17:17.676685", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:beaches", "id": 4152, "owner__username": "gridanode", "popular_count": 1054, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-65ce1452-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-BRB_Beaches - 2015 -1 :5000", "uuid": "65ce1452-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-113.9199981689", "bbox_x1": "-78.0800018311", "bbox_y0": "14.9982910156", "bbox_y1": "49.6800003052", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-113.919998169 14.9982910156,-113.919998169 49.6800003052,-78.0800018311 49.6800003052,-78.0800018311 14.9982910156,-113.919998169 14.9982910156))", "date": "2019-05-05T14:17:14.537078", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:basins_gom_diss", "id": 4151, "owner__username": "gridanode", "popular_count": 900, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-63ef219e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "CLME: TV_WCR_Drainage area GOMLME (D)_20171201_noscale", "uuid": "63ef219e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de ostras perliferas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-72.8449351230", "bbox_x1": "-72.1501966790", "bbox_y0": "11.6452613406", "bbox_y1": "12.2069444116", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.844935123 11.6452613406,-72.844935123 12.2069444116,-72.150196679 12.2069444116,-72.150196679 11.6452613406,-72.844935123 11.6452613406))", "date": "2019-05-05T14:17:12.790977", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:bancos_de_ostras_perliferas", "id": 4150, "owner__username": "gridanode", "popular_count": 988, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-62e4b21e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Ostras perliferas - 2009", "uuid": "62e4b21e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract providedThe Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.2072767522", "bbox_x1": "-76.2689116873", "bbox_y0": "17.8028015084", "bbox_y1": "18.4892594078", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.2072767522 17.8028015084,-78.2072767522 18.4892594078,-76.2689116873 18.4892594078,-76.2689116873 17.8028015084,-78.2072767522 17.8028015084))", "date": "2019-05-05T14:17:09.876009", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:b_roads", "id": 4149, "owner__username": "gridanode", "popular_count": 1075, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-607db837-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Class B Roads", "uuid": "607db837-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Using landcover for Trinidad and Tobago the area above 90m (roughly 300 feet) was found to be relatively unaffected by significant human activity. The area between the zone of immediate impact (5m) and 90m was identified as the area of influence.", "bbox_x0": "-60.8455038657", "bbox_x1": "-60.5177763099", "bbox_y0": "11.1415243028", "bbox_y1": "11.3465492578", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-60.8455038657 11.1415243028,-60.8455038657 11.3465492578,-60.5177763099 11.3465492578,-60.5177763099 11.1415243028,-60.8455038657 11.1415243028))", "date": "2019-05-05T14:17:08.761558", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:b2", "id": 4148, "owner__username": "gridanode", "popular_count": 966, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-607db836-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Tobago_ICZM_terrestrial_zone_T2_area_of_immediate_impact_2014_25000", "uuid": "607db836-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.4213731523", "bbox_x1": "-76.1482254219", "bbox_y0": "17.5813057615", "bbox_y1": "18.5441066045", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.4213731523 17.5813057615,-78.4213731523 18.5441066045,-76.1482254219 18.5441066045,-76.1482254219 17.5813057615,-78.4213731523 17.5813057615))", "date": "2019-05-05T14:17:05.734510", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:atlasind", "id": 4147, "owner__username": "gridanode", "popular_count": 985, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5eafcc60-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Atlas Island Index", "uuid": "5eafcc60-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "CMA", "bbox_x0": "-90.0000000000", "bbox_x1": "-50.0000000000", "bbox_y0": "8.5000000000", "bbox_y1": "32.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-90.0 8.5,-90.0 32.0,-50.0 32.0,-50.0 8.5,-90.0 8.5))", "date": "2019-05-05T14:17:03.439069", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:atl_hurtrack1900to2009_cmacl", "id": 4146, "owner__username": "gridanode", "popular_count": 1189, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5ca5b377-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-CARIBBEAN-Hurricane tracks between 1900 and 2009", "uuid": "5ca5b377-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Corresponde a un asociación vegetal donde predomina la especie Montrichardia arborescens de la familia aráceae. Forma rodales monoespecíficos y se encuentra localizada en áreas adyacentes al manglar. Es de especial interés ya que solo se identificó para la zona costera del Darién.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-77.0119177390", "bbox_x1": "-75.9200041000", "bbox_y0": "8.0097241577", "bbox_y1": "9.4001888267", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.011917739 8.00972415774,-77.011917739 9.4001888267,-75.9200041 9.4001888267,-75.9200041 8.00972415774,-77.011917739 8.00972415774))", "date": "2019-05-05T14:17:02.312837", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:arracachales", "id": 4145, "owner__username": "gridanode", "popular_count": 989, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5ca5b376-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Arracachales - 2009", "uuid": "5ca5b376-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "La República Dominicana cuenta con un Sistema Nacional de Áreas Protegidas (SINAP) conformado por 128 unidades de conservación, clasificadas en seis categorías y trece subcategorías de manejo. El conjunto de 128 unidades establecidas cubre una superficie terrestre de 12,442.08 Km², equivalentes al 25.81% del territorio nacional. El Sistema incluye además una superficie marina de 45,904.39 Km². \n\nLa longitud de costa del país (incluyendo las islas adyacentes), es de 1,668 km, de los cuales 1,251.7 kilómetros, es decir el 75% está bajo protección.\n  \nEn estas unidades de conservación están protegidas muestras representativas de gran parte de los principales ecosistemas, y más del 90% de las especies de flora y fauna endémicas reportadas en el país.\n\nLos instrumentos legales que definen el Sistema Nacional de Áreas Protegidas de la República Dominicana son, Ley Sectorial de Áreas Protegidas No. 202-04 del 30 de julio del 2004, Ley No. 121-04, Ley No. 174-09 del 3 de junio del 2009, Ley 313-14, Ley 519-14 del 14 de abril del 2014; los Decretos No. 571-09 del 7 de agosto del 2009, No. 249-11 del 25 de abril 2011, No. 371-11 del 13 de junio 2011, No. 654-11 del 25 de octubre 2011, No. 40-15, No. 90-16 del 29 de febrero 2016 y No. 266-16 del 3 de octubre 2016; bajo el marco de la Ley General de Medio Ambiente y Recursos Naturales No. 64-00 del 18 de agosto del año 2000.", "bbox_x0": "-72.0257921610", "bbox_x1": "-67.8166705750", "bbox_y0": "17.1038930780", "bbox_y1": "21.0987848347", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-72.025792161 17.103893078,-72.025792161 21.0987848347,-67.816670575 21.0987848347,-67.816670575 17.103893078,-72.025792161 17.103893078))", "date": "2019-05-05T14:17:00.817927", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:areas_protegidas_rd", "id": 4144, "owner__username": "gridanode", "popular_count": 1021, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5b142f93-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_DOM_Sistema_Nacional_Areas_Protegidas", "uuid": "5b142f93-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Representa las zonas donde se ha establecido la presencia de nodriza y desove de la especie Strombus Gigas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-75.9183936600", "bbox_x1": "-75.7205650120", "bbox_y0": "9.7231603977", "bbox_y1": "10.2391882637", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-75.91839366 9.72316039769,-75.91839366 10.2391882637,-75.720565012 10.2391882637,-75.720565012 9.72316039769,-75.91839366 9.72316039769))", "date": "2019-05-05T14:16:59.681290", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:areas_de_desove_y_nodriza_de_strombus_gigas", "id": 4143, "owner__username": "gridanode", "popular_count": 1147, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5b142f92-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Zonas donde se ha establecido la presencia de nodriza y desove de la especie Strombus Gigas - 2009", "uuid": "5b142f92-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Este vector muestra el objeto de conservación referente a las áreas identificadas como de alta importancia para la congregación de peces. \n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-76.3966508020", "bbox_x1": "-72.0564677370", "bbox_y0": "9.1472271847", "bbox_y1": "12.3372293876", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.396650802 9.1472271847,-76.396650802 12.3372293876,-72.056467737 12.3372293876,-72.056467737 9.1472271847,-76.396650802 9.1472271847))", "date": "2019-05-05T14:16:58.561538", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:areas_de_desove_y_nodriza_de_peces", "id": 4142, "owner__username": "gridanode", "popular_count": 1068, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-59be803f-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM_ODC_areas_de_desove_y_nodriza_de_peces", "uuid": "59be803f-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de nodriza y desove de langostas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-75.7966246010", "bbox_x1": "-71.9060778710", "bbox_y0": "10.1305722047", "bbox_y1": "12.1996127406", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-75.796624601 10.1305722047,-75.796624601 12.1996127406,-71.906077871 12.1996127406,-71.906077871 10.1305722047,-75.796624601 10.1305722047))", "date": "2019-05-05T14:16:57.441847", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:areas_de_desove_y_nodriza_de_langostas", "id": 4141, "owner__username": "gridanode", "popular_count": 1015, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-59be803e-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-COLOMBIA-Areas de desove y nodriza de langostas", "uuid": "59be803e-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de aves playeras. Las Aves playeras se asocian a playas, lagunas costeras y ciénagas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Técnico: Planificación ecorregional para la conservación in situ de la biodiversidad marina y costera en el Caribe y Pacífico continental colombiano. Alonso, D., Ramírez, L. F., Segura- Quintero, C., Castillo-Torres, P., Díaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-76.2130508423", "bbox_x1": "-71.4987716675", "bbox_y0": "9.0992116925", "bbox_y1": "12.4548034664", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-76.2130508423 9.09921169252,-76.2130508423 12.4548034664,-71.4987716675 12.4548034664,-71.4987716675 9.09921169252,-76.2130508423 9.09921169252))", "date": "2019-05-05T14:16:56.216064", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:areas_de_congregacion_de_aves_playeras", "id": 4140, "owner__username": "gridanode", "popular_count": 932, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5853f491-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Áreas de congregación de aves playeras - 2009", "uuid": "5853f491-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de aves marinas. Las Aves marinas se asocian a sitios como acantilados, manglares y playas rocosas.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Técnico: Planificación ecorregional para la conservación in situ de la biodiversidad marina y costera en el Caribe y Pacífico continental colombiano. Alonso, D., Ramírez, L. F., Segura- Quintero, C., Castillo-Torres, P., Díaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-77.2783966064", "bbox_x1": "-71.2582778931", "bbox_y0": "7.8677091596", "bbox_y1": "12.4679288860", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-77.2783966064 7.86770915959,-77.2783966064 12.467928886,-71.2582778931 12.467928886,-71.2582778931 7.86770915959,-77.2783966064 7.86770915959))", "date": "2019-05-05T14:16:55.066071", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:area_de_congregacion_de_aves_marinas", "id": 4139, "owner__username": "gridanode", "popular_count": 955, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5853f490-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Area de congregacion de aves marinas", "uuid": "5853f490-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Describe las áreas donde se ha tenido reportes de presencia de tortugas marinas asociadas a  las playas\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. 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Programa holandés de asistencia para estudios en cambio climático NCCSAP: Colombia. Definición de la vulnerabilidad de los sistemas bio-geofísicos y socioeconómicos debido a un cambio en el nivel del mar en la zona costera colombiana (Caribe continental, Caribe insular y Pacífico) y medidas para su adaptación. Vides, M. Editor.  Instituto de Investigaciones Marinas y Costeras \"José Benito Vives de Andréis\". 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Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-81.7852706909", "bbox_x1": "-71.7568359375", "bbox_y0": "1.8400157689", "bbox_y1": "12.6424131389", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.7852706909 1.84001576894,-81.7852706909 12.6424131389,-71.7568359375 12.6424131389,-71.7568359375 1.84001576894,-81.7852706909 1.84001576894))", "date": "2019-05-05T14:16:21.753278", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:acantiladorocablanda", "id": 4124, "owner__username": "gridanode", "popular_count": 1074, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4478f100-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA-Acantilado roca blanda-2009-500.000", "uuid": "4478f100-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Litorales que sufren procesos de abrasión y remoción a tasas muy bajas, por lo tanto son más estables.\n\n\nINVEMAR – TNC – CI – UAESPNN. 2009. Informe Tecnico: Planificacion ecorregional para la conservacion in situ de la biodiversidad marina y costera en el Caribe y Pacifico continental colombiano. Alonso, D., Ramirez, L. F., Segura- Quintero, C., Castillo-Torres, P., Diaz, J.M., Walschburger, T. y N. Arango. Serie de Documentos Generales No. 41. Santa Marta. 106p + Anexos.", "bbox_x0": "-81.6664581299", "bbox_x1": "-71.4921569824", "bbox_y0": "2.8856141566", "bbox_y1": "12.4939260479", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-81.6664581299 2.88561415663,-81.6664581299 12.4939260479,-71.4921569824 12.4939260479,-71.4921569824 2.88561415663,-81.6664581299 2.88561415663))", "date": "2019-05-05T14:16:18.200035", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:acantilado_roca_dura", "id": 4123, "owner__username": "gridanode", "popular_count": 913, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-425ac4de-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM - COLOMBIA - Litorales que sufren procesos de abrasión y remoción a tasas muy bajas - 2009", "uuid": "425ac4de-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Áreas Bajo Régimen de Administración Especial (MARNOT)", "bbox_x0": "-73.3807184167", "bbox_x1": "-59.7890995292", "bbox_y0": "0.6422761273", "bbox_y1": "15.9477081129", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-73.3807184167 0.642276127334,-73.3807184167 15.9477081129,-59.7890995292 15.9477081129,-59.7890995292 0.642276127334,-73.3807184167 0.642276127334))", "date": "2019-05-05T14:16:15.646236", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:abrae2", "id": 4122, "owner__username": "gridanode", "popular_count": 1060, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-40d5113c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_VEN_Areas Bajo Régimen de Administración Especial (MARNOT)", "uuid": "40d5113c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Áreas Bajo Régimen de Administración Especial (MARNOT)", "bbox_x0": "-73.4486770630", "bbox_x1": "-59.7211380005", "bbox_y0": "0.5657489300", "bbox_y1": "16.0242347717", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-73.448677063 0.565748929977,-73.448677063 16.0242347717,-59.7211380005 16.0242347717,-59.7211380005 0.565748929977,-73.448677063 0.565748929977))", "date": "2019-05-05T14:16:11.688660", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:abrae1", "id": 4121, "owner__username": "gridanode", "popular_count": 1247, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3d85c1a3-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TM-VENEZUELA-Áreas Bajo Régimen de Administración Especial", "uuid": "3d85c1a3-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Data was created under the Jamaican Coastal Project in 1997. The output of the project, A Coastal Atlas of Jamaica, was prepared by the Natural Resources Conservation Authority (NRCA) and Uppsala University, Sweden.", "bbox_x0": "-78.3467024674", "bbox_x1": "-76.2428083610", "bbox_y0": "17.8657608905", "bbox_y1": "18.5237716001", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-78.3467024674 17.8657608905,-78.3467024674 18.5237716001,-76.242808361 18.5237716001,-76.242808361 17.8657608905,-78.3467024674 17.8657608905))", "date": "2019-05-05T14:16:10.093233", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:a_roads_1", "id": 4120, "owner__username": "gridanode", "popular_count": 987, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3d85c1a2-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_JAM_JAMAICA-Class A Roads", "uuid": "3d85c1a2-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "In the development of the Integrated Coastal Zone policy for Trinidad and Tobago zones were needed to develop targeted policies. This zone was determined largely based upon elevation, threats from storm surges and projected sea level rise.", "bbox_x0": "-60.8456348440", "bbox_x1": "-60.4928673265", "bbox_y0": "11.1342008890", "bbox_y1": "11.3618271393", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-60.845634844 11.134200889,-60.845634844 11.3618271393,-60.4928673265 11.3618271393,-60.4928673265 11.134200889,-60.845634844 11.134200889))", "date": "2019-05-05T14:16:07.798517", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:a1", "id": 4119, "owner__username": "gridanode", "popular_count": 1034, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3c279c9a-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_TTO_Tobago_ICZM_terrestrial_zone_T1_area_of_immediate_impact_2014_25000", "uuid": "3c279c9a-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "UNEP-WCMC (1999). Global distribution of sea turtle feeding sites (ver. 1.1). Cambridge (UK): UNEP World Conservation Monitoring Centre. URL: http://data.unep-wcmc.org/datasets/21\n\nThis dataset shows the known locations of sea turtle feeding sites, for five of the seven species: hawksbill turtle (Eretmochelys imbricata), leatherback turtle (Dermochelys coriacea), green turtle (Chelonia mydas), loggerhead turtle (Caretta caretta), and olive ridley turtle (Lepidochelys olivacea).", "bbox_x0": "-175.4182926408", "bbox_x1": "179.9940161930", "bbox_y0": "-35.2583484761", "bbox_y1": "27.3768228373", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-175.418292641 -35.2583484761,-175.418292641 27.3768228373,179.994016193 27.3768228373,179.994016193 -35.2583484761,-175.418292641 -35.2583484761))", "date": "2019-05-05T14:16:05.429060", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:_14_001_wcmc006_turtlefeeding1999_v1_1", "id": 4118, "owner__username": "gridanode", "popular_count": 1203, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3abe04c0-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_Global Distribution of Sea Turtle Feeding Sites (1999)", "uuid": "3abe04c0-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "UNEP-WCMC (1999). Global distribution of sea turtle nesting sites (version 1.1, updated by UNEP-WCMC). Cambridge (UK): UNEP World Conservation Monitoring\nCentre. URL: http://data.unep-wcmc.org/datasets/22\n\nThis dataset shows the known locations of sea turtle nesting sites, for all seven species: hawksbill turtle (Eretmochelys imbricata), Kemp's ridley turtle\n(Lepidochelys kempii), leatherback turtle (Dermochelys coriacea), green turtle (Chelonia mydas), loggerhead turtle (Caretta caretta), olive ridley turtle (Lepidochelys olivacea), and flatback turtle (Natator depressus).", "bbox_x0": "-175.1345115744", "bbox_x1": "179.9996009828", "bbox_y0": "-32.1938726881", "bbox_y1": "40.4433513923", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-175.134511574 -32.1938726881,-175.134511574 40.4433513923,179.999600983 40.4433513923,179.999600983 -32.1938726881,-175.134511574 -32.1938726881))", "date": "2019-05-05T14:15:58.909041", "detail_url": "/layers/Caribbean_Marine_Atlas:geonode:_014_001_wcmc007_turtlenestingsites1999_v1_1", "id": 4117, "owner__username": "gridanode", "popular_count": 1193, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-36dad16c-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "TV_Global Distribution of Sea Turtle Nesting Sites (1999)", "uuid": "36dad16c-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Einstein.m^-2.d^-1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-05T14:15:57.814029", "detail_url": "/layers/Caribbean_Marine_Atlas:GMIS-4km_resolution_datasets:GMIS_A_PAR", "id": 4116, "owner__username": "gridanode", "popular_count": 1170, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "MODIS-A Photosynthetically Available Radiation", "uuid": "358ba2c9-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "log10 m^-1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-05T14:15:56.710740", "detail_url": "/layers/Caribbean_Marine_Atlas:GMIS-4km_resolution_datasets:GMIS_A_K490", "id": 4115, "owner__username": "gridanode", "popular_count": 1071, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "MODIS-A Diffuse Attenuation Coefficient Kd490", "uuid": "358ba2c8-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "log10 mg.m^-3", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-05T14:15:55.575612", "detail_url": "/layers/Caribbean_Marine_Atlas:GMIS-4km_resolution_datasets:GMIS_A_CHLA", "id": 4114, "owner__username": "gridanode", "popular_count": 1213, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "/static/geonode/img/missing_thumb.png", "title": "MODIS-A Chrorophyll-a concentration", "uuid": "34309411-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "m^-1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-05T14:15:54.436061", "detail_url": "/layers/Caribbean_Marine_Atlas:GMIS-4km_resolution_datasets:GMIS_A_APH", "id": 4113, "owner__username": "gridanode", "popular_count": 1072, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-34309410-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "MODIS-A Absorption Coefficient of Phytoplankton at 443nm", "uuid": "34309410-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "m^-1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-05T14:15:52.635146", "detail_url": "/layers/Caribbean_Marine_Atlas:GMIS-4km_resolution_datasets:GMIS_A_ADG", "id": 4112, "owner__username": "gridanode", "popular_count": 1123, "rating": 0, "share_count": 0, "srid": "EPSG:900913", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-331ded7a-6f6a-11e9-8d7d-000d3ab6a624-thumb.png", "title": "MODIS-A Absorption Coefficient of detritus/CDOM at 443nm", "uuid": "331ded7a-6f6a-11e9-8d7d-000d3ab6a624"}, {"abstract": "Predicted changes in per-area nutrient fluxes by large river basin and nutrient form globally between years 2000 and 2050. Note especially large anticipated changes in DIN and DIP loading in South Asia and parts of Central and South America.\r\nThere are substantial differences in the relative contributions of various nutrient sources and human drivers causing the scenario trends between developing countries and industrialized countries.\r\nGlobal NEWS scenarios for 2030 and 2050 indicate that substantial changes in coastal nutrient loading may occur due to changing nutrient management in agriculture\r\nDIN: Dissolved Inorganic Nutrients                                                  DIP: Dissolved Inorganic Phosphorus\r\nDON: Dissolved Organic Nutrients                                                   PP: Particulate Phosphorus\r\nPN: Particulate Nitrogen                                                                    DOP: Dissolved Organic Phosphorus\r\n", "bbox_x0": "-180.0000000001", "bbox_x1": "180.0000000005", "bbox_y0": "-55.5000000002", "bbox_y1": "83.4999999998", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000131 -55.5000000001605,-180.000000000131 83.4999999998474,180.000000000472 83.4999999998474,180.000000000472 -55.5000000001605,-180.000000000131 -55.5000000001605))", "date": "2019-05-02T09:25:00", "detail_url": "/layers/geonode:gnc_global_news_model", "id": 4103, "owner__username": "Global_Nutrient_Cycle", "popular_count": 660, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:gnc_global_news_model&format=image/png8&height=150&width=200&bbox=-180.000000000131,-55.5000000001605,180.000000000472,83.4999999998474&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "gnc global news model", "uuid": "251fe48e-6ce6-11e9-8d7d-000d3ab6a624"}, {"abstract": "Sensitivity of COSCATs to changes in nutrient loading according to COOLBEANS model. Red denotes high sensitivity, whereas blue represents low sensitivity. The primary purpose of the COOLBEANS model is to quantitatively link changes in bottom water oxygen concentrations to shifts in terrestrial nutrient loading and vertical exchange. COOLBEANS suggests that O2 conditions in these regions are likely to be sensitive to additional N inputs.  In particular, the west coast of Central America and northern South America, the east coast of the South eastern Asian peninsula and the east coast of India are indicated as moderately to strongly sensitive to increasing nutrient inputs.", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-56.9666671753", "bbox_y1": "84.3666687012", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -56.966667175293,-180.0 84.366668701172,180.0 84.366668701172,180.0 -56.966667175293,-180.0 -56.966667175293))", "date": "2019-05-02T09:02:00", "detail_url": "/layers/geonode:gnc_nutrient_loading_coolbeans", "id": 4101, "owner__username": "Global_Nutrient_Cycle", "popular_count": 591, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-e4f41536-6ce2-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc nutrient loading coolbeans", "uuid": "e4f41536-6ce2-11e9-8d7d-000d3ab6a624"}, {"abstract": "Downsampled layer of mean chlorophyll-a from MODIS Chlorophyll-a Concentration\r\n\r\nThis layer represents the near-surface concentration of chlorophyll-a in mg m-3, calculated using an empirical relationship derived from in situ measurements of chlor_a and blue-to-green band ratios of in situ remote sensing reflectances (Rrs). Implementation is contingent on the availability three or more sensor bands spanning the 440 - 570 nm spectral regime. ", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2019-05-02T08:34:00", "detail_url": "/layers/geonode:chlorophyll_a", "id": 4098, "owner__username": "Global_Nutrient_Cycle", "popular_count": 984, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-00112a74-6cdf-11e9-8d7d-000d3ab6a624-thumb.png", "title": "chlorophyll_a", "uuid": "00112a74-6cdf-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Index for Coastal Eutrophication Potential (ICEP) is an indicator for the potential of riverine nutrient export to sustain new production of non-diatoms phytoplankton biomass; it is calculated by comparing the N, P and Si loading to the Redfield ratios expressing the requirements of marine diatoms growth.\r\nA negative value of the ICEP indicates that Si is present in excess over the other nutrients and would thus indicate a low likelihood of harmful algal bloom development. Positive values of ICEP indicate an excess of N or P over Si, which may lead to blooms of non-diatom, possibly harmful algae species.  The ICEP represents the potential impact of the riverine delivery to the coastal zone.\r\nICEP of water draining into coastal seas presented on the scale of river basins, and observed algal blooms collected from HAEDAT.\r\n", "bbox_x0": "-180.0000000001", "bbox_x1": "180.0000000005", "bbox_y0": "-55.5000000002", "bbox_y1": "83.4999999998", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000131 -55.5000000001605,-180.000000000131 83.4999999998474,180.000000000472 83.4999999998474,180.000000000472 -55.5000000001605,-180.000000000131 -55.5000000001605))", "date": "2019-05-02T08:06:00", "detail_url": "/layers/geonode:gnc_index_of_coastal_eutrophication_potential", "id": 4096, "owner__username": "Global_Nutrient_Cycle", "popular_count": 2673, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2188d070-6cdb-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc index of coastal eutrophication potential", "uuid": "2188d070-6cdb-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Index for Coastal Eutrophication Potential (ICEP) is an indicator for the potential of riverine nutrient export to sustain new production of non-diatoms phytoplankton biomass; it is calculated by comparing the N, P and Si loading to the Redfield ratios expressing the requirements of marine diatoms growth.\r\nA negative value of the ICEP indicates that Si is present in excess over the other nutrients and would thus indicate a low likelihood of harmful algal bloom development. Positive values of ICEP indicate an excess of N or P over Si, which may lead to blooms of non-diatom, possibly harmful algae species.  The ICEP represents the potential impact of the riverine delivery to the coastal zone.\r\nICEP of water draining into coastal seas presented on the scale of river basins, and observed algal blooms collected from HAEDAT.\r\n", "bbox_x0": "-166.9250006277", "bbox_x1": "144.2210017789", "bbox_y0": "-34.7645702059", "bbox_y1": "73.7773899914", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-166.925000627659 -34.7645702059351,-166.925000627659 73.7773899913932,144.221001778906 73.7773899913932,144.221001778906 -34.7645702059351,-166.925000627659 -34.7645702059351))", "date": "2019-05-02T08:06:00", "detail_url": "/layers/geonode:gnc_reported_harmful_algal_blooms_point", "id": 4095, "owner__username": "Global_Nutrient_Cycle", "popular_count": 920, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1f267f12-6cdb-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc reported harmful algal blooms point", "uuid": "1f267f12-6cdb-11e9-8d7d-000d3ab6a624"}, {"abstract": "Large river basins", "bbox_x0": "-180.0109100851", "bbox_x1": "180.0204744037", "bbox_y0": "-55.5067274068", "bbox_y1": "83.5115630737", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.010910085087 -55.5067274068375,-180.010910085087 83.5115630736921,180.020474403659 83.5115630736921,180.020474403659 -55.5067274068375,-180.010910085087 -55.5067274068375))", "date": "2019-05-02T07:09:00", "detail_url": "/layers/geonode:gnc_large_river_basins", "id": 4092, "owner__username": "Global_Nutrient_Cycle", "popular_count": 876, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-18f1a5ac-6cd3-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc large river basins", "uuid": "18f1a5ac-6cd3-11e9-8d7d-000d3ab6a624"}, {"abstract": "Harmful algal blooms can have direct impacts on aquatic life, for example fish kills, and on human health, for example paralytic shellfish poisoning. Harmful algal blooms are often a result of excessive nutrient loads in a water body allowing certain species of algae to increase rapidly in number. Therefore efforts to reduce nutrient loads in waterways can have direct impacts on improved human health.\r\nThe map shows the number of reported harmful algae blooms for the period 1980 to 2015. The data are based on the harmful algae event database (HAEDAT, http://haedat.iode.org) and are displayed by Coastal Segmentation and related CATchments (COSCAT).\r\n", "bbox_x0": "-179.9333343506", "bbox_x1": "151.8999938965", "bbox_y0": "-37.4833335876", "bbox_y1": "81.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.933334350586 -37.4833335876465,-179.933334350586 81.0,151.899993896484 81.0,151.899993896484 -37.4833335876465,-179.933334350586 -37.4833335876465))", "date": "2019-05-02T07:09:00", "detail_url": "/layers/geonode:gnc_reported_harmful_algal_blooms", "id": 4093, "owner__username": "Global_Nutrient_Cycle", "popular_count": 881, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1c37d61e-6cd3-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc reported harmful algal blooms", "uuid": "1c37d61e-6cd3-11e9-8d7d-000d3ab6a624"}, {"abstract": "The pattern of dissolved oxygen in bottom water shows many areas with low oxygen concentrations, particularly in Southern and Eastern Asia, the Pacific coast of Central America, the red sea and the Baltic Sea. There is no clear correlation between the location of observed hypoxic events and global bottom water oxygen concentration, reflecting a difference in spatial and temporal scale between the two data sources.\r\n\r\nThe global bottom water oxygen concentration data are from the NOAA World Ocean Atlas 2013 version 2 (https://www.nodc.noaa.gov/OC5/woa13/).\r\n", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-78.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -78.0,-180.0 90.0,180.0 90.0,180.0 -78.0,-180.0 -78.0))", "date": "2019-05-02T06:37:00", "detail_url": "/layers/geonode:bottom_water_dissolved_oxygen1", "id": 4090, "owner__username": "Global_Nutrient_Cycle", "popular_count": 953, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-a559d4a6-6cce-11e9-8d7d-000d3ab6a624-thumb.png", "title": "bottom water dissolved oxygen", "uuid": "a559d4a6-6cce-11e9-8d7d-000d3ab6a624"}, {"abstract": "Hypoxic events in coastal regions have been increasing over the last several decades across the globe. These events have been documented along the east and gulf coasts of the United States, in the Baltic region, and off the coast of Japan. The low occurrence of these events in the tropics is likely due to lack of consistent monitoring results in these regions. Hypoxic events have been classified as either persistent (occurring all year round), periodic (occurring at different times) or seasonal (occurring at a certain time of year).\r\nThe pattern of dissolved oxygen in bottom water shows many areas with low oxygen concentrations, particularly in Southern and Eastern Asia, the Pacific coast of Central America, the red sea and the Baltic Sea. There is no clear correlation between the location of observed hypoxic events and global bottom water oxygen concentration, reflecting a difference in spatial and temporal scale between the two data sources.\r\nThe location of hypoxic events are from the World Resource Institute (http://www.wri.org/resources/data-sets/eutrophication-hypoxia-map-data-set). ", "bbox_x0": "-122.9100000000", "bbox_x1": "168.0000000000", "bbox_y0": "-46.9200000000", "bbox_y1": "60.4500140000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-122.91 -46.92,-122.91 60.450014,168.0 60.450014,168.0 -46.92,-122.91 -46.92))", "date": "2019-05-02T06:20:00", "detail_url": "/layers/geonode:gnc_hypoxic_events", "id": 4089, "owner__username": "Global_Nutrient_Cycle", "popular_count": 729, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3dbf51d8-6ccc-11e9-8d7d-000d3ab6a624-thumb.png", "title": "gnc hypoxic events", "uuid": "3dbf51d8-6ccc-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer represents 479 sites identified as experiencing hypoxia, 55 sites that once experienced hypoxia but are now improving, and 228 sites that experience other symptoms of eutrophication, including algal blooms, species loss, and impacts to coral reef assemblages.\r\n\r\nThese data were compiled using a literature search conducted by Dr. Robert Diaz of VIMS and WRI staff. Because this map depends on available data, geographic areas with more data availability (such as the United States) may show relatively more problem areas compared to areas with less data.", "bbox_x0": "-159.7766140000", "bbox_x1": "172.4492970000", "bbox_y0": "-43.7803060000", "bbox_y1": "68.4177090000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-159.776614 -43.780306,-159.776614 68.417709,172.449297 68.417709,172.449297 -43.780306,-159.776614 -43.780306))", "date": "2019-05-02T02:16:00", "detail_url": "/layers/geonode:gnc_reported_fish_decline_hotspots", "id": 4087, "owner__username": "Global_Nutrient_Cycle", "popular_count": 692, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3dec01a0-6caa-11e9-8d7d-000d3ab6a624-thumb.png", "title": "reported fish decline hotspots (1985-2000)", "uuid": "3dec01a0-6caa-11e9-8d7d-000d3ab6a624"}, {"abstract": "his layer represents 479 sites identified as experiencing eutrophication, 55 sites that once experienced hypoxia but are now improving, and 228 sites that experience other symptoms of eutrophication, including algal blooms, species loss, and impacts to coral reef assemblages.\r\n\r\nThese data were compiled using a literature search conducted by Dr. Robert Diaz of VIMS and WRI staff. Because this map depends on available data, geographic areas with more data availability (such as the United States) may show relatively more problem areas compared to areas with less data.", "bbox_x0": "-159.7766140000", "bbox_x1": "178.4931080000", "bbox_y0": "-46.5659860000", "bbox_y1": "59.1950000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-159.776614 -46.565986,-159.776614 59.195,178.493108 59.195,178.493108 -46.565986,-159.776614 -46.565986))", "date": "2019-05-02T02:10:00", "detail_url": "/layers/geonode:gnc_eutrophic_hotspots", "id": 4086, "owner__username": "Global_Nutrient_Cycle", "popular_count": 780, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-54c6142a-6ca9-11e9-8d7d-000d3ab6a624-thumb.png", "title": "eutrophic hotspots (1985-2000)", "uuid": "54c6142a-6ca9-11e9-8d7d-000d3ab6a624"}, {"abstract": "This layer represents 479 sites identified as experiencing hypoxia, 55 sites that once experienced hypoxia but are now improving, and 228 sites that experience other symptoms of eutrophication, including algal blooms, species loss, and impacts to coral reef assemblages.\r\n\r\nThese data were compiled using a literature search conducted by Dr. Robert Diaz of VIMS and WRI staff. Because this map depends on available data, geographic areas with more data availability (such as the United States) may show relatively more problem areas compared to areas with less data.", "bbox_x0": "-158.0070000000", "bbox_x1": "168.0000000000", "bbox_y0": "-46.9200000000", "bbox_y1": "68.4177090000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-158.007 -46.92,-158.007 68.417709,168.0 68.417709,168.0 -46.92,-158.007 -46.92))", "date": "2019-04-30T12:33:00", "detail_url": "/layers/geonode:gnc_hypoxia_hotspots", "id": 4082, "owner__username": "Global_Nutrient_Cycle", "popular_count": 562, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-1c64fbb4-6b6e-11e9-8d7d-000d3ab6a624-thumb.png", "title": "hypoxia hotspots (1985-2000)", "uuid": "1c64fbb4-6b6e-11e9-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "118.8933851930", "bbox_x1": "126.4588390225", "bbox_y0": "6.5607894410", "bbox_y1": "18.6208647020", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((118.893385192971 6.56078944104133,118.893385192971 18.620864702005,126.458839022465 18.620864702005,126.458839022465 6.56078944104133,118.893385192971 6.56078944104133))", "date": "2019-04-21T13:10:54.988622", "detail_url": "/layers/geonode:waterbodies_w84", "id": 4067, "owner__username": "gridanode", "popular_count": 270, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:waterbodies_w84&format=image/png8&height=150&width=200&bbox=118.893385192971,6.56078944104133,126.458839022465,18.620864702005&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "waterbodies_w84", "uuid": "92180de9-61ca-43fc-aa00-9abe3531bb22"}, {"abstract": "No abstract provided", "bbox_x0": "117.4566044314", "bbox_x1": "127.5095280830", "bbox_y0": "6.1651312256", "bbox_y1": "20.7534156850", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((117.45660443141371 6.165131225627254,117.45660443141371 20.753415685016122,127.50952808301574 20.753415685016122,127.50952808301574 6.165131225627254,117.45660443141371 6.165131225627254))", "date": "2019-04-21T13:04:07.187701", "detail_url": "/layers/geonode:_2yr_isohyets_utm51", "id": 4066, "owner__username": "gridanode", "popular_count": 297, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-fd0f8853-825e-49ef-9166-76ff16afaa21-thumb.png", "title": "_2yr_isohyets_utm51", "uuid": "fd0f8853-825e-49ef-9166-76ff16afaa21"}, {"abstract": "No abstract provided", "bbox_x0": "102.3369715470", "bbox_x1": "107.6276737470", "bbox_y0": "9.9141981930", "bbox_y1": "14.6902518170", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((102.336971547 9.91419819300006,102.336971547 14.690251817,107.627673747 14.690251817,107.627673747 9.91419819300006,102.336971547 9.91419819300006))", "date": "2018-12-13T04:15:09", "detail_url": "/layers/geonode:admin01_bnd", "id": 3875, "owner__username": "suongsovann", "popular_count": 499, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-f85c6254-febf-11e8-8d7d-000d3ab6a624-thumb.png", "title": "admin01_bnd", "uuid": "f85c6254-febf-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "116.9283370972", "bbox_x1": "126.6053466797", "bbox_y0": "4.5869398117", "bbox_y1": "21.0701408386", "category__gn_description": "Others", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((116.928337097168 4.58693981170654,116.928337097168 21.0701408386233,126.605346679688 21.0701408386233,126.605346679688 4.58693981170654,116.928337097168 4.58693981170654))", "date": "2018-08-30T08:27:35.877663", "detail_url": "/layers/geonode:municities", "id": 3866, "owner__username": "gridanode", "popular_count": 736, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:municities&format=image/png8&height=150&width=200&bbox=116.928337097168,4.58693981170654,126.605346679688,21.0701408386233&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "municities", "uuid": "753c4128-ac58-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "121.0053329468", "bbox_x1": "121.6324386597", "bbox_y0": "13.9641799927", "bbox_y1": "14.5758304596", "category__gn_description": "Others", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((121.005332946778 13.9641799926758,121.005332946778 14.5758304595948,121.632438659668 14.5758304595948,121.632438659668 13.9641799926758,121.005332946778 13.9641799926758))", "date": "2018-08-24T15:44:43.209728", "detail_url": "/layers/geonode:laguna", "id": 3862, "owner__username": "others", "popular_count": 442, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-86e6c139-a7de-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Laguna", "uuid": "86e6c139-a7de-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "0E-10", "bbox_x1": "-1.0000000000", "bbox_y0": "0E-10", "bbox_y1": "-1.0000000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((0.0 0.0,0.0 -1.0,-1.0 -1.0,-1.0 0.0,0.0 0.0))", "date": "2018-08-24T15:44:40.973086", "detail_url": "/layers/geonode:abril", "id": 3861, "owner__username": "others", "popular_count": 912, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:abril&format=image/png8&height=150&width=200&bbox=0.0,0.0,-1.0,-1.0&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "Abril", "uuid": "8621be24-a7de-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-78.5702819820", "bbox_y1": "90.0000001146", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -78.5702819819999,-180.0 90.0000001145916,180.0 90.0000001145916,180.0 -78.5702819819999,-180.0 -78.5702819819999))", "date": "2018-08-24T15:42:32.144348", "detail_url": "/layers/geonode:seavox_sea_area_polygons", "id": 3860, "owner__username": "others", "popular_count": 1294, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-39580b7a-a7de-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Seavox Sea Area Polygons", "uuid": "39580b7a-a7de-11e8-8d7d-000d3ab6a624"}, {"abstract": "Location of polulated locations in Yemen", "bbox_x0": "39.5000000000", "bbox_x1": "65.0000000000", "bbox_y0": "12.1000000000", "bbox_y1": "27.6952780000", "category__gn_description": "Location", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((39.5 12.1,39.5 27.695278,65.0 27.695278,65.0 12.1,39.5 12.1))", "date": "2018-08-24T15:42:00", "detail_url": "/layers/geonode:xyyemen", "id": 3859, "owner__username": "others", "popular_count": 561, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-26b3e445-a7de-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Yemen place names", "uuid": "26b3e445-a7de-11e8-8d7d-000d3ab6a624"}, {"abstract": 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"bbox_y0": "39.9432752530", "bbox_y1": "46.1389432240", "category__gn_description": "Aquifers", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((13.5086762370001 39.9432752530001,13.5086762370001 46.1389432240001,20.9505708950001 46.1389432240001,20.9505708950001 39.9432752530001,13.5086762370001 39.9432752530001))", "date": "2018-05-31T05:36:03.632653", "detail_url": "/layers/geonode:diktas_tectonic_bound_hg_all_merged", "id": 3444, "owner__username": "diktas", "popular_count": 423, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-6a85bfc1-64be-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Diktas Tectonic Bound Hg All Merged", "uuid": "6a85bfc1-64be-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "13.6847067780", "bbox_x1": "20.7633325340", "bbox_y0": "40.3392894380", "bbox_y1": "45.4320592910", "category__gn_description": 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42.459252453,20.8756522910001 40.255665359,19.395130775 40.255665359))", "date": "2018-05-31T05:36:00", "detail_url": "/layers/geonode:diktas_albania_wells1_hg", "id": 3446, "owner__username": "diktas", "popular_count": 514, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-726bfbbf-64be-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Diktas Albania Wells1 Hg", "uuid": "726bfbbf-64be-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "13.5026821760", "bbox_x1": "20.7778071000", "bbox_y0": "40.6140785000", "bbox_y1": "45.5917034130", "category__gn_description": "Aquifers", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((13.5026821760001 40.6140785000001,13.5026821760001 45.5917034130001,20.7778071000001 45.5917034130001,20.7778071000001 40.6140785000001,13.5026821760001 40.6140785000001))", "date": "2018-05-31T05:35:59.694849", "detail_url": "/layers/geonode:diktas_wwtp", "id": 3442, "owner__username": "diktas", "popular_count": 426, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-681ab210-64be-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Diktas Wwtp", "uuid": "681ab210-64be-11e8-8d7d-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "13.9039381140", "bbox_x1": "19.2864283240", "bbox_y0": "41.9712011250", "bbox_y1": "44.9749575420", "category__gn_description": "Aquifers", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((13.9039381140001 41.9712011250001,13.9039381140001 44.9749575420001,19.286428324 44.9749575420001,19.286428324 41.9712011250001,13.9039381140001 41.9712011250001))", "date": "2018-05-31T05:35:56.615308", "detail_url": "/layers/geonode:diktas_gwintake_or_wellfield_qav_hg", "id": 3441, "owner__username": "diktas", "popular_count": 445, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-66ce77f0-64be-11e8-8d7d-000d3ab6a624-thumb.png", "title": "Diktas Gwintake Or Wellfield Qav Hg", "uuid": "66ce77f0-64be-11e8-8d7d-000d3ab6a624"}, {"abstract": "This data comes from Natural Earth small scale data 1:110m (https://www.naturalearthdata.com/).\r\n\r\nPoint symbols with name attributes. Includes all admin-0 capitals and some other major cities. We favor regional significance over population census in determining our selection of places. Use the scale rankings to filter the number of towns that appear on your map.\r\n\r\nLandScan derived population estimates are provided for 90% of our cities. Those lacking population estimates are often in sparsely inhabited areas. We provide a range of population values that account for the total “metropolitan” population rather than it’s administrative boundary population. Use the PopMax column to size your town labels.", "bbox_x0": "-175.2205644776", "bbox_x1": "179.2166470940", "bbox_y0": "-41.2999878537", "bbox_y1": "64.1500236197", "category__gn_description": "Location", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-175.220564477617 -41.2999878536917,-175.220564477617 64.1500236197392,179.216647094029 64.1500236197392,179.216647094029 -41.2999878536917,-175.220564477617 -41.2999878536917))", "date": "2018-05-24T00:00:00", "detail_url": "/layers/geonode:ne_110m_populated_places_simple", "id": 4364, "owner__username": "miles_GRIDA", "popular_count": 3195, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-3726ec96-7c80-11e9-8d7d-000d3ab6a624-thumb.png", "title": "populated places from Natural Earth", "uuid": "3726ec96-7c80-11e9-8d7d-000d3ab6a624"}, {"abstract": "The Ocean Health Index is comprised of 10 publically-held values and goals for healthy and vibrant marine ecosystems, with health defined as the sustainable delivery of the full range of benefits to people now and in the future.", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-85.4702835081", "bbox_y1": "89.9999999997", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000079 -85.4702835081022,-180.000000000079 89.9999999996609,179.999999999874 89.9999999996609,179.999999999874 -85.4702835081022,-180.000000000079 -85.4702835081022))", "date": "2017-12-01T07:57:00", "detail_url": "/layers/geonode:lmes_ohi_subgoals", "id": 3281, "owner__username": "andyjeffrey", "popular_count": 607, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "Dataset downloaded from http://onesharedocean.org/data", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:lmes_ohi_subgoals&format=image/png8&height=150&width=200&bbox=-180.000000000079,-85.4702835081022,179.999999999874,89.9999999996609&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "LMEs, Ocean Health Index", "uuid": "9e168e1c-d69f-11e7-8864-000d3ab6a624"}, {"abstract": "Large Marine Ecosystems (LMEs) are relatively large areas of ocean space of about 200,000 km2 or more, adjacent to the continents in coastal waters and extending out seaward to the break or slope of the continental shelf or out to the seaward extent of a well-defined current system along coasts lacking continental shelves. LMEs are characterized by their unique undersea topography, current and water mass structure, marine productivity, and food chain interactions.\r\n\r\nThe 66 LMEs are the most highly productive areas of the oceans. They harbor biodiversity and provide important ecosystem services and tangible benefits, including livelihoods, food security (producing about 80 percent of the world’s annual marine wild fisheries catch), shoreline protection, carbon sequestration and storage, and recreational opportunities. LMEs also provide less tangible benefits like spirituality, inspiration, and cultural and aesthetic connection to nature. Taken together, LMEs provide direct services approaching US$3 trillion annually, with a non-market value estimated at $US22 trillion each year.\r\n\r\nThese ecosystems are transboundary in nature by virtue of interconnected currents, pollution, and movement and migration of marine living resources. LMEs represent multi-country, ecosystem-based management units for measuring the changing states of these defined ocean spaces, and for taking remedial actions toward the recovery and sustainability of degraded goods and services.", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-85.4702835081", "bbox_y1": "89.9999999997", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000079 -85.4702835081021,-180.000000000079 89.9999999996609,179.999999999874 89.9999999996609,179.999999999874 -85.4702835081021,-180.000000000079 -85.4702835081021))", "date": "2017-11-25T19:30:00", "detail_url": "/layers/geonode:lmes66gcd", "id": 3271, "owner__username": "gridanode", "popular_count": 2753, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-717aed8a-d249-11e7-8864-000d3ab6a624-thumb.png", "title": "Large Marine Ecosystems", "uuid": "717aed8a-d249-11e7-8864-000d3ab6a624"}, {"abstract": "Polygons representing the ocean basins of the world", "bbox_x0": "-179.9990000000", "bbox_x1": "179.9990000000", "bbox_y0": "-84.3053450000", "bbox_y1": "67.3248450000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.999 -84.305345,-179.999 67.324845,179.999 67.324845,179.999 -84.305345,-179.999 -84.305345))", "date": "2017-11-25T19:17:00", "detail_url": "/layers/geonode:iwl_oceans_polygon", "id": 3269, "owner__username": "gridanode", "popular_count": 974, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-9cbde1a2-d247-11e7-8864-000d3ab6a624-thumb.png", "title": "Oceans of the World", "uuid": "9cbde1a2-d247-11e7-8864-000d3ab6a624"}, {"abstract": "World Wildlife Fund, Conservation Science Data and Tools (http://worldwildlife.org/pages/conservation-science-data-and-tools) \r\n", "bbox_x0": "-95.3265840000", "bbox_x1": "132.8451540000", "bbox_y0": "-54.6054190000", "bbox_y1": "69.4100080000", "category__gn_description": "Lakes", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-95.326584 -54.605419,-95.326584 69.410008,132.845154 69.410008,132.845154 -54.605419,-95.326584 -54.605419))", "date": "2017-11-25T19:17:00", "detail_url": "/layers/geonode:iwl_lakes_polygon", "id": 3267, "owner__username": "gridanode", "popular_count": 858, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-99badc26-d247-11e7-8864-000d3ab6a624-thumb.png", "title": "Transboundary lakes", "uuid": "99badc26-d247-11e7-8864-000d3ab6a624"}, {"abstract": "International Groundwater Resources Assessment Centre (http://www.igrac.net) ", "bbox_x0": "-80.7673100000", "bbox_x1": "71.6212500000", "bbox_y0": "-32.9499700000", "bbox_y1": "60.9613400000", "category__gn_description": "Aquifers", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-80.76731 -32.94997,-80.76731 60.96134,71.62125 60.96134,71.62125 -32.94997,-80.76731 -32.94997))", "date": "2017-11-25T19:17:00", "detail_url": "/layers/geonode:iw_aquifers", "id": 3265, "owner__username": "gridanode", "popular_count": 666, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-966f9674-d247-11e7-8864-000d3ab6a624-thumb.png", "title": "Transboundary aquifers", "uuid": "966f9674-d247-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-107.4265800000", "bbox_x1": "119.6063700000", "bbox_y0": "-34.0485200000", "bbox_y1": "55.0104400000", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-107.42658 -34.04852,-107.42658 55.01044,119.60637 55.01044,119.60637 -34.04852,-107.42658 -34.04852))", "date": "2017-11-25T18:58:00", "detail_url": "/layers/geonode:iw_river_line", "id": 3260, "owner__username": "gridanode", "popular_count": 535, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ef4f299c-d244-11e7-8864-000d3ab6a624-thumb.png", "title": "Transboundary Rivers - lines", "uuid": "ef4f299c-d244-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-164.4714006210", "bbox_x1": "145.0291666670", "bbox_y0": "-54.7499854200", "bbox_y1": "71.6381050930", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-164.471400621 -54.74998542,-164.471400621 71.638105093,145.029166667 71.638105093,145.029166667 -54.74998542,-164.471400621 -54.74998542))", "date": "2017-11-25T18:45:00", "detail_url": "/layers/geonode:basins_country_units", "id": 3254, "owner__username": "gridanode", "popular_count": 527, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-2abf8b54-d243-11e7-8864-000d3ab6a624-thumb.png", "title": "basins_country_units", "uuid": "2abf8b54-d243-11e7-8864-000d3ab6a624"}, {"abstract": "Transboundary Freshwater Dispute Database, Department of Geosciences, Oregon State University (http://www.transboundarywaters.orst.edu), Watersheds of the World published by the World Resources Institute (http://www.wri.org/publication/watersheds-of-the-world) ", "bbox_x0": "-164.4714006210", "bbox_x1": "145.0291666670", "bbox_y0": "-54.7499854200", "bbox_y1": "71.6381050930", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-164.471400621 -54.74998542,-164.471400621 71.638105093,145.029166667 71.638105093,145.029166667 -54.74998542,-164.471400621 -54.74998542))", "date": "2017-11-25T18:25:00", "detail_url": "/layers/geonode:transboundary_river_basins", "id": 3252, "owner__username": "gridanode", "popular_count": 701, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-5668474e-d240-11e7-8864-000d3ab6a624-thumb.png", "title": "Transboundary River Basins", "uuid": "5668474e-d240-11e7-8864-000d3ab6a624"}, {"abstract": "here are 247 countries in the world. Greenland as separate from Denmark. Most users will want this file instead of sovereign states.\r\nhttp://www.naturalearthdata.com", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "83.6341006530", "category__gn_description": "Boundaries", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 83.6341006530001,180.0 83.6341006530001,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T17:33:00", "detail_url": "/layers/geonode:countries", "id": 3229, "owner__username": "gridanode", "popular_count": 747, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:countries&format=image/png8&height=150&width=200&bbox=-180.0,-90.0,180.0,83.6341006530001&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "countries", "uuid": "1a682626-d239-11e7-8864-000d3ab6a624"}, {"abstract": "This dataset shows the global distribution of coral reefs in tropical and subtropical regions. It is the most comprehensive global dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the WorldFish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy). Data sources include the Millennium Coral Reef Mapping Project (IMaRS-USF and IRD 2005, IMaRS-USF 2005) and the World Atlas of Coral Reefs (Spalding et al. 2001).10_coarse", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T08:37:00", "detail_url": "/layers/geonode:coral_reefs", "id": 3181, "owner__username": "gridanode", "popular_count": 91, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:coral_reefs&format=image/png8&height=150&width=200&bbox=-180.0,-90.0,180.0,90.0&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "Coral Reefs 2010 (WCMC_008)", "uuid": "ff069a0c-a244-41e8-a415-764fe01f384d"}, {"abstract": "The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas and is one of the key global biodiversity datasets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. \r\nThe WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the Protected Planet website where the data is both viewable and downloadable. \r\nhttp://data.unep-wcmc.org/datasets/1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Others", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T08:37:00", "detail_url": "/layers/geonode:WDPA_point", "id": 3183, "owner__username": "gridanode", "popular_count": 603, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-ee0c0d4f-2534-4a0b-b5fd-8ac7db6235e6-thumb.png", "title": "World Database on Protected Areas (WDPA_point)", "uuid": "ee0c0d4f-2534-4a0b-b5fd-8ac7db6235e6"}, {"abstract": "The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas and is one of the key global biodiversity datasets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. \r\nThe WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the Protected Planet website where the data is both viewable and downloadable. \r\nhttp://data.unep-wcmc.org/datasets/1", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Others", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T08:37:00", "detail_url": "/layers/geonode:WDPA_Polygon", "id": 3182, "owner__username": "gridanode", "popular_count": 1016, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-aaae7521-ddb8-4799-8d57-fcf954e47128-thumb.png", "title": "World Database on Protected Areas (WDPA_poly)", "uuid": "aaae7521-ddb8-4799-8d57-fcf954e47128"}, {"abstract": "This dataset shows the modelled global patterns of above-ground biomass of mangrove forests. The dataset was developed by the Department of Zoology, University of Cambridge, with support from The Nature Conservancy. The work is based on a review of 95 field studies on carbon storage and fluxes in mangroves world-wide. A climate-based model for potential mangrove above-ground biomass was developed, with almost four times the explanatory power of the only previous published model. The map highlights the high variability in mangrove above-ground biomass and indicates areas that could be prioritised for mangrove conservation and restoration.\r\n\r\nLegend: http://ec2-54-204-216-109.compute-1.amazonaws.com:6080/arcgis/rest/services/marine/TNC_001_GlobalMangroveBiomass2014/MapServer/legend\r\n\r\nSource: http://data.unep-wcmc.org/datasets/39tare)", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T07:42:00", "detail_url": "/layers/geonode:mangrove", "id": 3172, "owner__username": "gridanode", "popular_count": 968, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-cd1a91a0-a6ac-4bc3-b6e0-8d027283fd7c-thumb.png", "title": "Mangrove biomass (tonnes per hectare)", "uuid": "cd1a91a0-a6ac-4bc3-b6e0-8d027283fd7c"}, {"abstract": "This dataset shows the global distribution of seagrasses, and is composed of two subsets of point and polygon occurence data. The data were compiled by UNEP World Conservation Monitoring Centre in collaboration with many collaborators (e.g. Frederick Short of the University of New Hampshire), organisations (e.g. OSPAR), and projects (e.g. the European project Mediterranean Sensitive Habitats \"Mediseh\"), across the globe (full list available in \"Seagrass_Metadata_v4.dbf\").\r\nhttp://data.unep-wcmc.org/datasets/7\r\n", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-90.0000000000", "bbox_y1": "90.0000000000", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -90.0,-180.0 90.0,180.0 90.0,180.0 -90.0,-180.0 -90.0))", "date": "2017-11-25T07:22:00", "detail_url": "/layers/geonode:Seagrass", "id": 3166, "owner__username": "gridanode", "popular_count": 524, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": 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"http://geonode.iwlearn.org/uploaded/thumbs/layer-6829262c-cf22-11e7-8864-000d3ab6a624-thumb.png", "title": "cage", "uuid": "6829262c-cf22-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-179.9999999999", "bbox_x1": "180.0000000001", "bbox_y0": "-89.9000004650", "bbox_y1": "86.9193962883", "category__gn_description": "Oceans", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.9999999999 -89.9000004650494,-179.9999999999 86.9193962883082,180.0000000001 86.9193962883082,180.0000000001 -89.9000004650494,-179.9999999999 -89.9000004650494))", "date": "2017-11-21T19:13:05.477217", "detail_url": "/layers/geonode:marine_ecoregions", "id": 3156, "owner__username": "gridapublisher", "popular_count": 492, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:marine_ecoregions&format=image/png8&height=150&width=200&bbox=-179.9999999999,-89.9000004650494,180.0000000001,86.9193962883082&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "marine_ecoregions", "uuid": "4b270bfc-cf22-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-93.0156326415", "bbox_x1": "-58.4761927696", "bbox_y0": "7.0261396816", "bbox_y1": "28.0000001203", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-93.0156326415091 7.02613968163325,-93.0156326415091 28.0000001203202,-58.4761927696491 28.0000001203202,-58.4761927696491 7.02613968163325,-93.0156326415091 7.02613968163325))", "date": "2017-11-21T17:34:38.621749", "detail_url": "/layers/geonode:mapa_geologico4326_469", "id": 3118, "owner__username": "gridapublisher", "popular_count": 412, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mapa_geologico4326_469&format=image/png8&height=150&width=200&bbox=-93.0156326415091,7.02613968163325,-58.4761927696491,28.0000001203202&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mapa_geologico4326_469", "uuid": "8a647010-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-93.0159661409", "bbox_x1": "-57.0375476812", "bbox_y0": "7.0261408506", "bbox_y1": "27.9999996191", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-93.0159661409384 7.02614085056831,-93.0159661409384 27.9999996191496,-57.0375476811808 27.9999996191496,-57.0375476811808 7.02614085056831,-93.0159661409384 7.02614085056831))", "date": "2017-11-21T17:34:27.756676", "detail_url": "/layers/geonode:mapa_geologico_provi_471", "id": 3117, "owner__username": "gridapublisher", "popular_count": 452, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:mapa_geologico_provi_471&format=image/png8&height=150&width=200&bbox=-93.0159661409384,7.02614085056831,-57.0375476811808,27.9999996191496&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "mapa_geologico_provi_471", "uuid": "83ea8efe-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-93.0156326402", "bbox_x1": "-57.0377085917", "bbox_y0": "7.0304376009", "bbox_y1": "24.0084641167", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-93.0156326401891 7.03043760090527,-93.0156326401891 24.0084641167461,-57.037708591725 24.0084641167461,-57.037708591725 7.03043760090527,-93.0156326401891 7.03043760090527))", "date": "2017-11-21T17:34:22.888816", "detail_url": "/layers/geonode:mapa_geologico_falla_470", "id": 3116, "owner__username": "gridapublisher", "popular_count": 372, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-8103c5d4-cf14-11e7-8864-000d3ab6a624-thumb.png", "title": "mapa_geologico_falla_470", "uuid": "8103c5d4-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "100.1234560000", "bbox_x1": "116.1234560000", "bbox_y0": "30.1234560000", "bbox_y1": "40.1234560000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((100.123456 30.123456,100.123456 40.123456,116.123456 40.123456,116.123456 30.123456,100.123456 30.123456))", "date": "2017-11-21T17:34:17.661021", "detail_url": "/layers/geonode:map_point_472", "id": 3115, "owner__username": "gridapublisher", "popular_count": 660, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-7de615b4-cf14-11e7-8864-000d3ab6a624-thumb.png", "title": "map_point_472", "uuid": "7de615b4-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "120.1342879123", "bbox_x1": "121.5971439944", "bbox_y0": "13.9749548756", "bbox_y1": "16.1420355788", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((120.134287912258 13.9749548755521,120.134287912258 16.1420355787582,121.59714399438 16.1420355787582,121.59714399438 13.9749548755521,120.134287912258 13.9749548755521))", "date": "2017-11-21T17:34:15.693389", "detail_url": "/layers/geonode:manila_bay_mgt_bdry_467", "id": 3114, "owner__username": "gridapublisher", "popular_count": 732, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:manila_bay_mgt_bdry_467&format=image/png8&height=150&width=200&bbox=120.134287912258,13.9749548755521,121.59714399438,16.1420355787582&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "manila_bay_mgt_bdry_467", "uuid": "7cb9d950-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "120.1342879123", "bbox_x1": "121.5971439944", "bbox_y0": "13.9749548756", "bbox_y1": "16.1420355788", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((120.134287912258 13.9749548755521,120.134287912258 16.1420355787582,121.59714399438 16.1420355787582,121.59714399438 13.9749548755521,120.134287912258 13.9749548755521))", "date": "2017-11-21T17:34:13.805853", "detail_url": "/layers/geonode:manila_bay_mgt_bdry__468", "id": 3113, "owner__username": "gridapublisher", "popular_count": 348, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:manila_bay_mgt_bdry__468&format=image/png8&height=150&width=200&bbox=120.134287912258,13.9749548755521,121.59714399438,16.1420355787582&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "manila_bay_mgt_bdry__468", "uuid": "7b99d48a-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "120.1342879123", "bbox_x1": "121.5971439944", "bbox_y0": "13.9749548756", "bbox_y1": "16.1420355788", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((120.134287912258 13.9749548755521,120.134287912258 16.1420355787582,121.59714399438 16.1420355787582,121.59714399438 13.9749548755521,120.134287912258 13.9749548755521))", "date": "2017-11-21T17:34:11.740520", "detail_url": "/layers/geonode:manila_bay_administr_466", "id": 3112, "owner__username": "gridapublisher", "popular_count": 412, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:manila_bay_administr_466&format=image/png8&height=150&width=200&bbox=120.134287912258,13.9749548755521,121.59714399438,16.1420355787582&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "manila_bay_administr_466", "uuid": "7a5eb4b4-cf14-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "96.8744820822", "bbox_x1": "113.8358158207", "bbox_y0": "46.4554009369", "bbox_y1": "56.6885596784", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((96.8744820821774 46.4554009368613,96.8744820821774 56.6885596783686,113.835815820693 56.6885596783686,113.835815820693 46.4554009368613,96.8744820821774 46.4554009368613))", "date": "2017-11-21T17:06:29.723589", "detail_url": "/layers/geonode:baikal_basin_sub_bas_331", "id": 3061, "owner__username": "gridapublisher", "popular_count": 378, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:baikal_basin_sub_bas_331&format=image/png8&height=150&width=200&bbox=96.8744820821774,46.4554009368613,113.835815820693,56.6885596783686&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "baikal_basin_sub_bas_331", "uuid": "9bbb0b66-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "93.2499830000", "bbox_x1": "116.2541640000", "bbox_y0": "42.5637930000", "bbox_y1": "57.2485690000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((93.249983 42.563793,93.249983 57.248569,116.254164 57.248569,116.254164 42.563793,93.249983 42.563793))", "date": "2017-11-21T17:06:24.290560", "detail_url": "/layers/geonode:baikal_basin_populat_330", "id": 3060, "owner__username": "gridapublisher", "popular_count": 511, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:baikal_basin_populat_330&format=image/png8&height=150&width=200&bbox=93.249983,42.563793,116.254164,57.248569&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "baikal_basin_populat_330", "uuid": "987e064c-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-73.0082509942", "bbox_x1": "-53.6397060155", "bbox_y0": "-54.9268840205", "bbox_y1": "-21.9493389795", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-73.0082509941895 -54.926884020476,-73.0082509941895 -21.949338979524,-53.6397060154901 -21.949338979524,-53.6397060154901 -54.926884020476,-73.0082509941895 -54.926884020476))", "date": "2017-11-21T17:06:15.118183", "detail_url": "/layers/geonode:asfalto_26", "id": 3059, "owner__username": "gridapublisher", "popular_count": 480, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-93066ff6-cf10-11e7-8864-000d3ab6a624-thumb.png", "title": "asfalto_26", "uuid": "93066ff6-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "-59.4596400000", "bbox_x1": "-50.8860900000", "bbox_y0": "-39.5289300000", "bbox_y1": "-33.7466000000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-59.45964 -39.52893,-59.45964 -33.7466,-50.88609 -33.7466,-50.88609 -39.52893,-59.45964 -39.52893))", "date": "2017-11-21T17:06:05.056597", "detail_url": "/layers/geonode:area_de_estudio_1_25", "id": 3058, "owner__username": "gridapublisher", "popular_count": 456, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:area_de_estudio_1_25&format=image/png8&height=150&width=200&bbox=-59.45964,-39.52893,-50.88609,-33.7466&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "area_de_estudio_1_25", "uuid": "8d07258c-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "122.8255082030", "bbox_x1": "142.1912293429", "bbox_y0": "-17.7191772465", "bbox_y1": "-4.2547310440", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((122.825508202952 -17.7191772465102,122.825508202952 -4.25473104403375,142.191229342885 -4.25473104403375,142.191229342885 -17.7191772465102,122.825508202952 -17.7191772465102))", "date": "2017-11-21T17:06:02.371742", "detail_url": "/layers/geonode:aoi_atsea_21062013_24", "id": 3057, "owner__username": "gridapublisher", "popular_count": 404, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:aoi_atsea_21062013_24&format=image/png8&height=150&width=200&bbox=122.825508202952,-17.7191772465102,142.191229342885,-4.25473104403375&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "aoi_atsea_21062013_24", "uuid": "8b6d75b4-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "No abstract provided", "bbox_x0": "19.2845043320", "bbox_x1": "20.9623051500", "bbox_y0": "39.9387807880", "bbox_y1": "42.6607150000", "category__gn_description": null, "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((19.284504332 39.9387807880001,19.284504332 42.660715,20.9623051500001 42.660715,20.9623051500001 39.9387807880001,19.284504332 39.9387807880001))", "date": "2017-11-21T17:06:00.324893", "detail_url": "/layers/geonode:albania_watersheds_23", "id": 3056, "owner__username": "gridapublisher", "popular_count": 499, "rating": 0, "share_count": 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56.6815029999999,113.817801 56.6815029999999,113.817801 46.456939,96.9040930000001 46.456939))", "date": "2017-11-21T17:04:35.674797", "detail_url": "/layers/geonode:_23_557", "id": 3032, "owner__username": "gridapublisher", "popular_count": 447, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:_23_557&format=image/png8&height=150&width=200&bbox=96.9040930000001,46.456939,113.817801,56.6815029999999&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "_23_557", "uuid": "57c095fc-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "the 16 major rivers flowing into Manila Bay", "bbox_x0": "120.5355700403", "bbox_x1": "121.1116590518", "bbox_y0": "14.2029087111", "bbox_y1": "14.9827043234", "category__gn_description": "River Basins", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((120.53557004028 14.2029087110708,120.53557004028 14.9827043233856,121.111659051817 14.9827043233856,121.111659051817 14.2029087110708,120.53557004028 14.2029087110708))", "date": "2017-11-21T17:04:00", "detail_url": "/layers/geonode:_16_major_rivers_1", "id": 3039, "owner__username": "gridapublisher", "popular_count": 806, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-62f8b01c-cf10-11e7-8864-000d3ab6a624-thumb.png", "title": "16 major rivers - Manila Bay", "uuid": "62f8b01c-cf10-11e7-8864-000d3ab6a624"}, {"abstract": "The seamount geomorphic feature layer represents the spatial extent of the seamounts of the worlds oceans based on interpretation of the SRTM30 plus v7 global bathymetry model. The layer is one of the 25 layers that make up the global seafloor geomorphic features map (Harris et.al. 2014). Seamounts are “a discrete (or group of) large isolated elevation(s), greater than 1,000 m in relief above the sea floor, characteristically of conical form” (IHO, 2008).  Seamounts are thus defined as peaks that rise over 1,000 m above the seafloor, calculated based on the SRTM30_PLUS model. We adhered strictly to the requirement that seamounts are “of conical form”, thus distinguishing “seamounts” (having a length/with ratio <2) from ridges (having a length/width ratio ≥2).  The criterion of a length/with ratio <2 for seamounts is consistent with the geomorphic analysis of Mitchell (2001).  Seamounts are, furthermore, distinguished from flat-topped guyots.", "bbox_x0": "-180.0000000000", "bbox_x1": "180.0000000000", "bbox_y0": "-75.2333303625", "bbox_y1": "77.0846968802", "category__gn_description": "Geoscientific Information", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.0 -75.2333303625266,-180.0 77.0846968802343,180.0 77.0846968802343,180.0 -75.2333303625266,-180.0 -75.2333303625266))", "date": "2014-02-20T00:00:00", "detail_url": "/layers/geonode:seamounts", "id": 3275, "owner__username": "miles_GRIDA", "popular_count": 1481, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-4c8f4910-d2dc-11e7-8864-000d3ab6a624-thumb.png", "title": "Seamount geomorphic feature layer", "uuid": "4c8f4910-d2dc-11e7-8864-000d3ab6a624"}, {"abstract": "The guyot geomorphic feature layer represents the spatial extent of the guyots of the worlds oceans based on interpretation of the SRTM30 plus v7 global bathymetry model. The layer is one of the 25 layers that make up the global seafloor geomorphic features map (Harris et.al. 2014). Guyots are “an isolated (or group of) seamount (s) having a comparatively smooth flat top. Also called tablemount(s)” (IHO, 2008).  In this study the seamount base layer was used to mask the SRTM30_PLUS model. The gradient of the resulting grid was calculated (ArcGIS 10->DEM Surface Tools (Jenness 2012)->Slope, Slope computation method = 4-cell method). The gradient was classified into areas >2 degrees and areas <2 degrees. The areas less than two degrees were converted into vector layers. Where these occurred at the top of seamounts and were greater than a minimum size threshold (10 km2) they were flagged as possible guyots. These possible guyots were then visually checked and either classified as a guyot or a seamount. Additionally the remaining seamounts were visually checked to see whether any with flat tops had been missed in the classification process. The geomorphic features map of Agapova et al (1979) was used in addition to the GEBCO Gazetteer of geographic names of undersea features (IHO-IOC, 2012), to ensure all previously mapped features were assessed for inclusion in our map.", "bbox_x0": "-179.9472129675", "bbox_x1": "178.5573167058", "bbox_y0": "-69.0158504043", "bbox_y1": "57.6414688729", "category__gn_description": "Geoscientific Information", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-179.947212967487 -69.0158504042813,-179.947212967487 57.6414688729018,178.557316705759 57.6414688729018,178.557316705759 -69.0158504042813,-179.947212967487 -69.0158504042813))", "date": "2014-02-20T00:00:00", "detail_url": "/layers/geonode:guyots", "id": 3280, "owner__username": "miles_GRIDA", "popular_count": 1164, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "No information provided", "thumbnail_url": "http://geonode.iwlearn.org/geoserver/wms/reflect?layers=geonode:guyots&format=image/png8&height=150&width=200&bbox=-179.947212967487,-69.0158504042813,178.557316705759,57.6414688729018&TIME=-99999999999-01-01T00:00:00.0Z/99999999999-01-01T00:00:00.0Z", "title": "Guyot geomorphic feature layer", "uuid": "5a3390f6-d69e-11e7-8864-000d3ab6a624"}, {"abstract": "LMEs are natural regions of ocean space encompassing coastal waters from river basins and estuaries to the seaward boundary of continental shelves and the outer margins of coastal currents. They are relatively large regions of 200,000 km2 or greater, the natural boundaries of which are based on four ecological criteria: bathymetry, hydrography, productivity, and trophically related populations.\r\n\r\nThe theory, measurement, and modeling relevant to monitoring the changing states of LMEs are imbedded in reports on ecosystems with multiple steady states, and on the pattern formation and spatial diffusion within ecosystems.  The concept that critical processes controlling the structure and function of biological communities can best be addressed on a regional basis has been applied to the ocean by using LMEs as the distinct units for marine resources assessment, monitoring, and management.", "bbox_x0": "-180.0000000001", "bbox_x1": "179.9999999999", "bbox_y0": "-84.3047299633", "bbox_y1": "89.9999999997", "category__gn_description": "Large Marine Ecosystems", "csw_type": "dataset", "csw_wkt_geometry": "POLYGON((-180.000000000079 -84.3047299633,-180.000000000079 89.9999999996609,179.999999999874 89.9999999996609,179.999999999874 -84.3047299633,-180.000000000079 -84.3047299633))", "date": "2000-01-01T00:00:00", "detail_url": "/layers/geonode:lme66_offshore", "id": 3321, "owner__username": "gridanode", "popular_count": 555, "rating": 0, "share_count": 0, "srid": "EPSG:4326", "supplemental_information": "Visit the LME website for more information:  http://www.lme.noaa.gov", "thumbnail_url": "http://geonode.iwlearn.org/uploaded/thumbs/layer-cc61db8e-3746-11e8-ab75-000d3ab6a624-thumb.png", "title": "LME-66 Offshore", "uuid": "cc61db8e-3746-11e8-ab75-000d3ab6a624"}]}