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  <Title>Marine Spatial Planning Tools for Turks and Caicos</Title>
  <Abstract><![CDATA[The WebGIS for Marine Spatial Planning (msp) in Turks and Caicos Islands. This WebGIS is a tool for stakeholders to visualise the spatial data available for the islands. It allows users to display and explore the varous layers and infromation and overlap different information on a map to analyze the environment and human activities that occurs in the area. The msp WebGIS have been created during the project "Developing Marine Spatial Planning (MSP) tools for Turks and Caicos" funded by Darwin Plus (project DPLUS094)]]></Abstract>
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     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon shapefile layer comprising the accepted protected areas in Turks and Caicos with general information (name, area). Borders have been drawn based at the coordinates provided by the TCI governemt regulations.
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Anonymous
&lt;/p>&lt;p>
Data created/updated in: 2019
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/protected-areas-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Title>Proposed changes in protected areas</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon shapefile layer comprising the proposed protected areas in Turks and Caicos with general information (name, area). Borders have been drawn based at the coordinates provided by the TCI governemt regulations.
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Anonymous
&lt;/p>&lt;p>
Data created/updated in: 2019
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/protected-areas-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Name>Important Bird Areas</Name>
     <Title>Important Bird and Biodiversity Areas</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer of Important Bird and Biodiversity Areas (IBAs) around the world on behalf of the BirdLife Partnership. This dataset is drawn largely from data provided directly by the Partners but also includes some data digitised by the BirdLife Secretariat or consolidated from 3rd party sources where other information were not available.
&lt;/p>&lt;p>
Data source: BirdLife International
&lt;/p>&lt;p>
Layer created by: BirdLife International
&lt;/p>&lt;p>
Data created/updated in: 2009
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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    <Title>Zones in the Turks and Caicos Ordinance</Title>
    <CRS>CRS:84</CRS>
    <CRS>EPSG:3857</CRS>
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     <Name>Boat Access Lanes</Name>
     <Title>Boat Access Lanes</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 5 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with areas designated as access zones for the purpose of allowing entry and egress of boats (both power boats and sail and manually propeled boats). Each access zone comprise an area of 100 feet wide extending from the beach to a point 110 yards offshore from the low water mark.
&lt;/p>&lt;p>
Data source: National Parks Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at NP Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
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     <Name>Swimming Zones</Name>
     <Title>Swimming Zones</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 5 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with areas designed to swimming within national parks in Providenciales (Princess Alexandra Land and Sea NP). These zones were created based at the National Parks Ordinance and are classified to aquatic sports, swim zones, boat lanes and water-ski zones.
&lt;/p>&lt;p>
Data source: National Parks Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at NP Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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     <Title>East Harbour Lobster &amp; Conch Reserve</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 5 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with area defined as prohibited area fot taking of any lobster and conch by any means, except where a conservation officer has allowed the removal of up to but not more than ten conchs by an individual for consumption by his family at home.
&lt;/p>&lt;p>
Data source: Fisheries Protection Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at Fisheries Protection Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
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     <Name>Fishing Zone (Grand Turk)</Name>
     <Title>Fishing Zone (Grand Turk)</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 5 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with area in Columbus Landfall Marine National Park designated as a fishing zone.
&lt;/p>&lt;p>
Data source: National Parks Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at NP Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Name>Historic Wrecks Restricted Area</Name>
     <Title>Historic Wrecks Restricted Area</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: approximate
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with areas indicated as restricted areas under section 4 of the Historic Wrecks Ordinance. Vessels lying wrecked on or in the sea bed within these areas are declared to be historic wrecks. 
&lt;/p>&lt;p>
Data source: National Parks Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at NP Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Minerals Designated Area</Name>
     <Title>Minerals Designated Area</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: approximate
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer comprising the area of Mouchoir Bank designated as minerals exploration and exploitation under Minerals E&amp;E Ordinance.
&lt;/p>&lt;p>
Data source: Minerals Exploration and Exploitation Ordinance
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at Minerals E&amp;E Ordinance
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p></Abstract>
     <CRS>CRS:84</CRS>
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    <Title>Development</Title>
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     <Name>Buildings</Name>
     <Title>Buildings</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 1 meter
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon shapefile layer with all types of buildings divided into main categories. The OpenStreetMap project is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys or traced from satellite imagery. Buildings dataset was extracted from OSM polygon layer using all the objects with any information in a building field in the original layer. The data was extracted from OSM project in December 2019.
&lt;/p>&lt;p>
Data source: OpenStreetMap Community
&lt;/p>&lt;p>
Layer created by: OSM Community
&lt;/p>&lt;p>
Data created/updated in: 2019
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/buildings-osm" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown / low
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polyline shapefile layer with the approximate ferry routes between Turks and Caicos Islands. The dataset comprises routes and frequency as for November 2020. The routes were derived from OpenStreetMap project which is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys local knowledge or traced from satellite imagery.
&lt;/p>&lt;p>
Data source: OpenStreetMap Community
&lt;/p>&lt;p>
Layer created by: OSM Community
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/fery-routes-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Road Network</Name>
     <Title>Road Network</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 1 meter
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polyline shapefile layer with the road, track and path network divided into main categories.  The OpenStreetMap project is a collaborative project to create a free editable map of the world. The data was created by contributors of the project based on ground surveys or traced from satellite imagery. Road network dataset was extracted from OSM multistring layer using all the objects with any information in a highway field in the original layer. The data was extracted from OSM project in December 2019
&lt;/p>&lt;p>
Data source: OpenStreetMap Community
&lt;/p>&lt;p>
Layer created by: OSM Community
&lt;/p>&lt;p>
Data created/updated in: 2019
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/road-network-osm" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Coastal Development</Name>
     <Title>Coastal Development</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: at least 1 meter
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polyline layer with all the indentified artificial structures in the coastline of Turks and Caicos as of March 2019. The dataset was created mostly by visual interpretation and digitising of satellite images from Google, Bing as well as aerial images from DECR. Additional information was derived from OSM Project
&lt;/p>&lt;p>
Data source: Google and Bing Imagery, Aerial Images, OpenStreetMap Community
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/man-made-coastline-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
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      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: at least 1 meter
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with all the indentified artificial structures in the coastline of Turks and Caicos as of March 2019. The dataset was created mostly by visual interpretation and digitising of satellite images from Google, Bing as well as aerial images from DECR. Additional information was derived from OSM Project
&lt;/p>&lt;p>
Data source: Google and Bing Imagery, Aerial Images, OpenStreetMap Community
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/man-made-coastline-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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   <Layer queryable="1">
    <Name>Impact Assesment</Name>
    <Title>Impact Assesment</Title>
    <CRS>CRS:84</CRS>
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    <Layer queryable="1">
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     <Title>Threat to reefs: Integrated</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 500m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Original name: Reefs at Risk Revisited: threat from integrated local human activities
&lt;/p>&lt;p>
Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from integrated local activities (coastal development, watershed and marine pollution and overfishing). Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs.
&lt;/p>&lt;p>
Data source: World Resources Institute
&lt;/p>&lt;p>
Layer created by: World Resources Institute
&lt;/p>&lt;p>
Data created/updated in: 2011
&lt;/p>&lt;p>
Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/reefs-at-risk-integrated-activities" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Title>Threat to reefs: Coastal Development</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 500m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Original name: Reefs at Risk Revisited: threat from coastal development
&lt;/p>&lt;p>
Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from coastal development. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs.
&lt;/p>&lt;p>
Data source: World Resources Institute
&lt;/p>&lt;p>
Layer created by: World Resources Institute
&lt;/p>&lt;p>
Data created/updated in: 2011
&lt;/p>&lt;p>
Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/reefs-at-risk-coastal-development-2011" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
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     <Title>Threat to reefs: Marine Pollution</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 500m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Original name: Reefs at Risk Revisited: threat from marine pollution
&lt;/p>&lt;p>
Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from marine pollution. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs.
&lt;/p>&lt;p>
Data source: World Resources Institute
&lt;/p>&lt;p>
Layer created by: World Resources Institute
&lt;/p>&lt;p>
Data created/updated in: 2011
&lt;/p>&lt;p>
Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/reefs-at-risk-marine-pollution" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Name>Threat to reefs: Overfishing</Name>
     <Title>Threat to reefs: Overfishing</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 500m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Original name: Reefs at Risk Revisited: threat from overfishing
&lt;/p>&lt;p>
Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from overfishing. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs.
&lt;/p>&lt;p>
Data source: World Resources Institute
&lt;/p>&lt;p>
Layer created by: World Resources Institute
&lt;/p>&lt;p>
Data created/updated in: 2011
&lt;/p>&lt;p>
Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/reefs-at-risk-overfishing" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Name>Threat to reefs: Watershed Pollution</Name>
     <Title>Threat to reefs: Watershed Pollution</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 500m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Original name: Reefs at Risk Revisited: threat from watershed pollution
&lt;/p>&lt;p>
Description: The dataset is a high-resolution 2011 update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World's Coral Reefs, 1998. It evaluates threats to coral reefs from a wide range of human activities, and includes an assessment of climate-related threats to reefs. This dataset includes the threat from watershed pollution. Reefs at Risk Revisited brings together data on the world's coral reefs in a global analysis designed to quantify threats and to map where reefs are at greatest risk of degradation or loss. More than 50 data sources were incorporated into the analysis, including data on bathymetry, land cover, population distribution and growth rate, observations of coral bleaching, and location of human infrastructure. Local threats addressed in the analysis were: coastal development; watershed-based pollution; marine-based pollution and damage; and overfishing and destructive fishing.The four local threats to coral reefs were modelled separately, and later combined in the Reefs at Risk integrated local threat index. The modelling approach is an extension and refinement of that used in previous Reefs at Risk analyses, and benefited from the input from more than 40 coral reef scientists and other experts. For each local threat, sources of stress that could be mapped were identified and combined into a proxy indicator that reflected the degree of threat. These ""stressors"" include human population density and infrastructure features such as location and size of cities, ports, and hotels, as well as more complex modelled estimates such as sediment inputs from rivers. For each stressor, distance-based rules were developed, such that threat declines as distance from the stressor increases. Thresholds for low, medium, and high threats were developed using available information on observed impacts to coral reefs.
&lt;/p>&lt;p>
Data source: World Resources Institute
&lt;/p>&lt;p>
Layer created by: World Resources Institute
&lt;/p>&lt;p>
Data created/updated in: 2011
&lt;/p>&lt;p>
Notes: Original data were combined with a 30 m resolution coral reef dataset from UNEP-WCMC (Global Distribution of Coral Reefs). The output has a higher resolution for the exent of coral reefs but the resolution of threat data is 500 m
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/reefs-at-risk-watershed-pollution-2011" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Name>Marine Activities</Name>
      <Title>Marine Activities</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting rough locations of marine activities identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools. 
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/marine-activities-tci-workshops" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Name>Main Species</Name>
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      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset is a point shapefile layer presenting rough locations of main species identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools.  
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/main-species-workshops" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Name>Favourite Places</Name>
      <Title>Favourite Places</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset is a point shapefile layer presenting rough locations of favourite places identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools.  
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/favourite-places-tci-workshops" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>Vulnerable Places</Name>
      <Title>Vulnerable Places</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset is a point shapefile layer presenting rough locations of vulnerable areas identified by stakeholders during series of meetings in January and February 2020. The meetings were part of the MSP Project and aimed in bringing all islands' stakeholders to the process of developing marine spatial planning tools.  
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/vulnerabe-areas-tci-workshops" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Name>Cultural use of coastal ecosystems</Name>
     <Title>Cultural use of coastal ecosystems</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Layer queryable="1">
      <Name>Main activities on the beach</Name>
      <Title>Main activities on the beach</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting main activities on the beach identified by responders. The main activities were selected based on a percentage of responses. Three activities with the highest percentage were selected. 
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Title>Distance travelled to the beach</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting the distance travelled from various places to coastal locations. The distance was calculated as the mean value from all the responses.  
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting the frequency of visits based on which island the coastal locations are on. The frequency was calculated as the sum of all the responses.  
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Title>Time spent at the beach</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting the time spent on the coastal locations. The time was calculated as the mean value from all the responses.  
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <Title>Mode of transport to the beach</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting the main mode of transport to the coastal locations. The mode of transport was selected if comprised at least 25% in the the responses.  
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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      <CRS>EPSG:3857</CRS>
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      <Name>Size of the group</Name>
      <Title>Size of the group</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: n/a
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting the size of the group at the coastal locations. The size was calculated as the mean value from all the responses.  
&lt;/p>&lt;p>
Data source: Economics for the Environment (Eftec)
&lt;/p>&lt;p>
Layer created by: Marcin Gorny from data provided by Eftec
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/cultural-use-survey-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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   <Layer queryable="1">
    <Name>Human Activites</Name>
    <Title>Human Activites</Title>
    <CRS>CRS:84</CRS>
    <CRS>EPSG:3857</CRS>
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     <Name>Kitesurfing locations</Name>
     <Title>Kitesurfing locations</Title>
     <Abstract>&lt;/p>&lt;p>
Resolution: approximate
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting most frequently used kiteborading sites in the Turks and Caicos Islands.
&lt;/p>&lt;p>
Data source: various internet sources and local knowledge
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/kiteboarding-locations-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Name>Snorkelling locations</Name>
     <Title>Snorkelling locations</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: approximate
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting beach snorkelling sites in the Turks and Caicos Islands.
&lt;/p>&lt;p>
Data source: various internet sources and local knowledge
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/snorkelling-locations-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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     <Name>Hobie Cat rentals</Name>
     <Title>Hobie Cat rentals</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: high
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a point shapefile layer presenting locations for Hobie Cat boat rentals in Grace Bay and Bight Beach with the number of available boats. The Hobie Cat is a small sailing catamaran used mostly in Grace Bay Area between the beach and the barrier reef. Most of the trips occurs relatively close to the rental place.
&lt;/p>&lt;p>
Data source: field survey
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/hobie-boat-locations" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Mooring Sites</Name>
     <Title>Mooring Sites</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: high
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset comprises dive boat, snorkel boat and yacht moorings throughout the Turks and Caicos Islands installed and mainataned by Turks and Caicos Reef Fund in the frame of Dive mooring project.
&lt;/p>&lt;p>
Data source: Turks and Caicos Reef Fund
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based on data provided by Turks and Caicos Reef Fund
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Scuba Dive sites</Name>
     <Title>Dive locations</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: various
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset comprised scuba dive and snorkelling sites used by various tour operators, NGO's and scientists. The coordinates were provided by among others Turks and Caicos Reef Fund and DECR.
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources, Turks and Caicos Reef Fund
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes: 
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Parasailing in Providenciales</Name>
     <Title>Parasailing in Providenciales</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: approximate
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset comprises the area on the north side of Providenciales utilized by parasailing boats. Most of the parasailing fligths in the Turks and Caicos takes place within this area although private parasailing can occasionally happen outside.
&lt;/p>&lt;p>
Data source: field survey, various internet sources and local knowledge.
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2021
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/parasailing-area-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Swim Zones in protected areas</Name>
     <Title>Swimming Zones in protected areas</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 5 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon layer with areas designed to swimming within national parks in Providenciales (Princess Alexandra Land and Sea NP) and Grand Turk (Columbus Landfall Marine NP). Swimming zones have been drawn using satellite imagery and google earth based at TCI government regulations. Swimming zone is an area designated for swimming and with restricted boat access extending up to 300 ft (91.44 m) from the shoreline. 
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Anonymous
&lt;/p>&lt;p>
Layer edited by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/swimming-zones-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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      <eastBoundLongitude>-71.143237</eastBoundLongitude>
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    <Layer queryable="1">
     <Name>toursit_accomodation_grid_sum</Name>
     <Title>Number of bedrooms</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: high
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset comprises an information about number of bedrooms available for all the types of tourist accommodation in the Turks and Caicos Islands. The data is presented in 1 square km grid. 
&lt;/p>&lt;p>
Data source: various sources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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   <Layer queryable="1">
    <Name>Environmental Data</Name>
    <Title>Environmental Data</Title>
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    <Layer queryable="1">
     <Name>Species distribution</Name>
     <Title>Species distribution</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Layer queryable="0">
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      <Title>Terrestrial species</Title>
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     <Layer queryable="1">
      <Name>Marine species</Name>
      <Title>Marine species</Title>
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      <CRS>EPSG:3857</CRS>
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      <Layer queryable="1">
       <Name>Queen Conch</Name>
       <Title>Queen Conch</Title>
       <Abstract>Scientific Name: Aliger gigas
&lt;/p>&lt;p>
Synonyms: Strombus gigas, Lobatus gigas
&lt;/p>&lt;p>
Family: Strombidae
&lt;/p>&lt;p>
Category: True Conchs
&lt;/p>&lt;p>
Size: 6 to 9 in. (15 to 23 cm)  
&lt;/p>&lt;p>
Depth: 3-100 ft. (1-30 m)
&lt;/p>&lt;p>
Distribution: Caribbean, Bahamas, South Florida</Abstract>
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       <Title>Caribbean Spiny Lobster</Title>
       <Abstract>Scientific Name: Panulirus argus
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Family: Palinuridae
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Category: Spiny Lobsters
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Size: 6 in. to 2 ft.  
&lt;/p>&lt;p>
Depth: 3-200 ft. (1-60 m)
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Distribution: Caribbean, Bahamas, Florida</Abstract>
       <CRS>CRS:84</CRS>
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       <Title>Bluehead Wrasse</Title>
       <Abstract>Scientific Name: Thalassoma bifasciatum
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Family: Labridae
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Category: Wrasses
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Size: 4 to 6 in. (10 to 15 cm)  
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Depth: 6-80 ft. (2-25 m)
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Distribution: Caribbean, Bahamas, Bermuda, South Florida</Abstract>
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       <Title>Caribbean Reef Shark</Title>
       <Abstract>Scientific Name: Carcharhinus perezii
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Superorder: Selachimorpha
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Family: Carcharhinidae
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Category: Requiem Sharks
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Size: 5 to 10 ft. (1.5 to 3 m)  
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Depth: 0-150 ft. (0-45 m)
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Distribution: Caribbean, Bahamas, Florida, Gulf of Mexico, Bermuda, Brazil</Abstract>
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       <Abstract>Scientific Name: Sphyraena barracuda
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Family: Sphyraenidae
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Category: Barracudas
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Size: 1 to 6 ft. (30 cm to 1.8 m)  
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Depth: 0-60 ft. (0-18 m)
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Distribution: Circumtropical</Abstract>
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       <Title>Horse-Eye Jack</Title>
       <Abstract>Scientific Name: Caranx latus
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Family: Carangidae
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Category: Jacks
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Size: 1 to 2 ft. (30 to 60 cm)  
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Depth: 0-60 ft. (0-18 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico, Brazil</Abstract>
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       <Title>Nassau Grouper</Title>
       <Abstract>Scientific Name: Epinephelus striatus
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Family: Serranidae
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Subfamily: Epinephelinae
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Category: Groupers
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Size: 1 to 2 ft. (30 to 60 cm)  
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Depth: 20-100 ft. (6-30 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Brazil</Abstract>
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       <CRS>EPSG:3857</CRS>
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       <Name>Nurse Shark</Name>
       <Title>Nurse Shark</Title>
       <Abstract>Scientific Name: Ginglymostoma cirratum
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Superorder: Selachimorpha
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Family: Ginglymostomatidae
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Category: Nurse Sharks
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Size: 5 to 12 ft. (1.5 to 3.5 m)  
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Depth: 12-100 ft. (4-30 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico, Brazil, Pacific Coast of Mexico to Panama, Gulf of California</Abstract>
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       <Title>Ocean Triggerfish</Title>
       <Abstract>Scientific Name: Canthidermis sufflamen
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Family: Balistidae
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Category: Triggerfishes
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Size: 10 to 18 in. (25 to 45 cm) 
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Depth: 35-100 ft. (12-30 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico
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       <Abstract>Scientific Name: Aetobatus narinari
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Family: Myliobatidae
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Subfamily: Myliobatinae
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Category: Eagle Rays
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Size: 4 to 8 ft. (1.2 to 2.5 m)  
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Depth: 10-80 ft. (3-25 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico, Indo-Pacific, Hawaii</Abstract>
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       <Title>Yellowtail Snapper</Title>
       <Abstract>Scientific Name: Ocyurus chrysurus
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Family: Lutjanidae
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Category: Snappers
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Size: 1 to 2 ft. (30 to 60 cm)  
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Depth: 10-60 ft. (3-18 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico</Abstract>
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       <Name>Caribbean Spiny Lobster (probability)</Name>
       <Title>Caribbean Spiny Lobster (probability)</Title>
       <Abstract>Scientific Name: Panulirus argus
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Family: Palinuridae
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Category: Spiny Lobsters
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Size: 6 in. to 2 ft.  
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Depth: 3-200 ft. (1-60 m)
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Distribution: Caribbean, Bahamas, Florida</Abstract>
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       <Abstract>Scientific Name: Sphyraena barracuda
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Family: Sphyraenidae
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Category: Barracudas
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Size: 1 to 6 ft. (30 cm to 1.8 m)  
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Depth: 0-60 ft. (0-18 m)
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Distribution: Circumtropical</Abstract>
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Family: Serranidae
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Subfamily: Epinephelinae
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Category: Groupers
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Size: 1 to 2 ft. (30 to 60 cm)  
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Depth: 20-100 ft. (6-30 m)
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Distribution: Caribbean, Bahamas, Florida, Bermuda, Brazil</Abstract>
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       <Name>Yellowtail Snapper (probability)</Name>
       <Title>Yellowtail Snapper (probability)</Title>
       <Abstract>Scientific Name: Ocyurus chrysurus
&lt;/p>&lt;p>
Family: Lutjanidae
&lt;/p>&lt;p>
Category: Snappers
&lt;/p>&lt;p>
Size: 1 to 2 ft. (30 to 60 cm)  
&lt;/p>&lt;p>
Depth: 10-60 ft. (3-18 m)
&lt;/p>&lt;p>
Distribution: Caribbean, Bahamas, Florida, Bermuda, Gulf of Mexico</Abstract>
       <CRS>CRS:84</CRS>
       <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Benthic Habitat Map</Name>
     <Title>Benthic Habitat Map</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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      <westBoundLongitude>-72.489138</westBoundLongitude>
      <eastBoundLongitude>-70.942849</eastBoundLongitude>
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     <Layer queryable="1">
      <Name>Reef Crest</Name>
      <Title>Reef Crest</Title>
      <Abstract>Found in shallow water break zones of barriers and fringing reefs (with the reef flat typically occurring at a depth of &lt;2m), between back and fore reef with low to medium relief and creates a shoreward lagoon. The structure is typically dominated by a variety of macroalgae species that seem to vary with depth and location (distance from shore, exposure to wave energy and substrate type) and commonly includes green algae genera: Avrainvillea spp.; brown algae genera: Dictyota spp. There is co-dominance by hard corals such asMillepora spp., Psuedodiploria clivosa, Porites astreoides, Acropora palmata, Siderastrea siderea, Porites porites; the zooanthids Palyothoa caribaeorumor Zoanthus sp.and sometimes sea fans and small gorgonians. Typically, dead Acropora palmata dominate the structure.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <eastBoundLongitude>-71.106091</eastBoundLongitude>
       <southBoundLatitude>21.188101</southBoundLatitude>
       <northBoundLatitude>21.974117</northBoundLatitude>
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      <Name>Reef Fore</Name>
      <Title>Reef Fore</Title>
      <Abstract>Typically found on the exposed seaward slope of the reef crest-area of high slope, then transitions into mixed assemblages >8m depth. This habitat has a median depth of 11m but can typically be found between 5-25m. Moderately rugose frameworks are characterized by sparse coral cover (typically &lt;10%) and sandy substrate. Colonies are predominantly small (sub-meter) in size and are composed primarily of Siderastrea spp., Orbicella annularis., Pseudodiploria spp., Agaricia spp. and Colpophyllia spp. Crustose coralline algae and fleshy algae (Sargassum spp., Dictyota spp.) along with gorgonians dominate the remainder of the reef framework. The community group of secondary dominance tends to besponges, followed by hard corals, gorgonians, macroalgae and encrusting coralline algae.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <eastBoundLongitude>-71.105947</eastBoundLongitude>
       <southBoundLatitude>21.187062</southBoundLatitude>
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      <Name>Reef Back</Name>
      <Title>Reef Back</Title>
      <Abstract>Shallow zone 2-3m depth then transitions into lagoon, for fringing and barrier reefs going shorewards or shallow zone on the more sheltered part of the reef crest towards the centre of 
atolls. Typically found on the sheltered margins landward of the reef crest-has low relief from skeletal coral rubble and intact dead corals bonded by coralline algae to form a semi-consolidated framework, dominated by macro-algae. More dominant macroalgae species include: Ulva spp.,Chaetomorpha spp , Caulerpaand Avrainvillea. Could also be a mosaic of shallow coral heads or patch reef with seagrass interspersed (dominantly Thalassia testudinium, and often mixed patches of Syringodium filiforme, Halodule wrightii). The community group of secondary dominance is relatively evenly split by hard corals, sponges, encrusting coralline algae and sea fans. This habitat may also be found surrounding, or atop, carbonate frameworks.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.449899</westBoundLongitude>
       <eastBoundLongitude>-71.105803</eastBoundLongitude>
       <southBoundLatitude>21.188168</southBoundLatitude>
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       <Title>default</Title>
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     <Layer queryable="1">
      <Name>Coral/Algae</Name>
      <Title>Coral/Algae</Title>
      <Abstract>Includes fringing, patch, and deeper bank/shelf reefs. General coral reef class for areas not within a reef crest formation. Coral/Algae can exist in depths up to 25m, depending on water column clarity, with a median depth of 7m. Presence of live coral colonies or structure that is extensive or patchy with or without a living coral veneer. Could also be coral rock (old Acropora sp.or Orbicella sp.) framework. Gorgonians, spongesand sparse seagrass and/or algae dominate the substrate between coral colonies. In sections fringing the shore, eroded reef framework with fossils of reef organisms might be observed in shallowest, intertidal sections. Asparse mixed assemblage of crustose coralline algae, encrusting species of algae and coral and macroalgae may occur in deeper sections. Patch reefand fringing reefs are typically dominated by a variety of macroalgae such as Dictyota spp., Lobophora spp., Chaetomorpha spp. Hard and soft corals commonly found include Acropora cervicornis, Montastrea cavernoa, Oribicella spp., Pseudodiploria strigosa and Diploria labrynthiformisa long with sea plumes and sea fans. The community group of secondary dominance is relatively evenly split by hard corals and sponges.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.487377</westBoundLongitude>
       <eastBoundLongitude>-70.949245</eastBoundLongitude>
       <southBoundLatitude>21.04477</southBoundLatitude>
       <northBoundLatitude>21.979948</northBoundLatitude>
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     <Layer queryable="1">
      <Name>Spur and Groove</Name>
      <Title>Spur and Groove</Title>
      <Abstract>Characterized by medium–high relief, reef framework substrate with a medium to dense living stony coral community cover. Average depth of the substratum tends to start at about 10m dropping to depth reaching about 25 to 30m.There are alternating sand and coral formations that are oriented perpendicular to the shore or bank/shelf escarpment. The coral formations (spurs) of this feature typically have a high vertical relief compared to pavement with accumulating sand channels and are separated from each other by 1-5m of sand or bare hardbottom (grooves), although the height and width of these elements may vary considerably. The dominant community group in this habitat class is almost always hard coral with frequent co-dominance by macroalgae and gorgonians in many Caribbean area islands. The community group of secondary dominance may be relatively evenly split by hard corals, macroalgae, gorgonians, encrusting coralline algae and sponges. Coral species commonly include massive corals, Orbicella annularis, Siderastrea siderea, Meandrina meandrites, Agaricia spp.; branching corals, Porites spp., Madracis spp., and rarely Acropora spp. Species of algae include brown algae genera: Dictyota spp.; red algae genera: Galaxaura spp.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.485976</westBoundLongitude>
       <eastBoundLongitude>-70.942849</eastBoundLongitude>
       <southBoundLatitude>21.063851</southBoundLatitude>
       <northBoundLatitude>21.982647</northBoundLatitude>
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     <Layer queryable="1">
      <Name>Hardbottom Sparse Algae</Name>
      <Title>Hardbottom Sparse Algae</Title>
      <Abstract>Typically found beyond the Fore reef at deeper depths (>8m), appearing on satellite imagery as less dark than hard bottom dense algae with more sand and open areas. Reef framework is characterized by low relief, scoured hardground dominated by algae, gorgonians and sea fans with remaining substrate sparsely covered with hard corals and sponges. Sparse to medium living benthic cover with species present including gorgonian sea fans; sea plumes; small encrusting hard corals: Porites astreoides and Siderastrea radians; and white sea urchins: Tripneustes ventricosus.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.488922</westBoundLongitude>
       <eastBoundLongitude>-70.944178</eastBoundLongitude>
       <southBoundLatitude>21.042021</southBoundLatitude>
       <northBoundLatitude>21.981381</northBoundLatitude>
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       <Title>default</Title>
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     <Layer queryable="1">
      <Name>Hardbottom Dense Algae</Name>
      <Title>Hardbottom Dense Algae</Title>
      <Abstract>Reef framework is characterized by low relief, which might be scoured hardground with a mixed assemblage of gorgonians, sponges and macroalgae. The assemblage is co-dominated by gorgonians and a variety of macroalgal species that seem to vary with depth and location (distance from shore, exposure to wave energy and substrate type) and commonly includes: green algae genera including Halimeda, Caulerpa, Avrainvillea; brown algae genera including benthic Sargassum, Dictyota, Padina, Lobophora spp; hard corals: Psuedodiploria clivosa, Porites astreoides; Fire corals: Millepora spp.; and white sea urchins: Tripneustes ventricosus. Hardbottom dense algae is typically found beyond the fore reef at deeper depths (>8m). The coral structure may or may not have a living coral veneer. These areas represent a darker spectral response when compared with sparse algae hardbottom.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
      <EX_GeographicBoundingBox>
       <westBoundLongitude>-72.489138</westBoundLongitude>
       <eastBoundLongitude>-70.943136</eastBoundLongitude>
       <southBoundLatitude>21.039908</southBoundLatitude>
       <northBoundLatitude>21.981581</northBoundLatitude>
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      <Style>
       <Name>default</Name>
       <Title>default</Title>
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        <Format>image/png</Format>
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     <Layer queryable="1">
      <Name>Muddy Bottom</Name>
      <Title>Muddy Bottom</Title>
      <Abstract>Inland coastal lagoons and estuaries. Can also be found at river mouths that dump sediment and silt onto the seafloor.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.46668</westBoundLongitude>
       <eastBoundLongitude>-71.132968</eastBoundLongitude>
       <southBoundLatitude>21.186526</southBoundLatitude>
       <northBoundLatitude>21.96242</northBoundLatitude>
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       <Name>default</Name>
       <Title>default</Title>
       <LegendURL>
        <Format>image/png</Format>
        <OnlineResource xlink:href="https://webgis.gov.tc/index.php/lizmap/service/?repository=01tci&amp;project=tcimsp-open&amp;SERVICE=WMS&amp;VERSION=1.3.0&amp;REQUEST=GetLegendGraphic&amp;LAYER=Muddy Bottom&amp;FORMAT=image/png&amp;STYLE=default&amp;SLD_VERSION=1.1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple"/>
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     <Layer queryable="1">
      <Name>Dredged</Name>
      <Title>Dredged</Title>
      <Abstract>Areas where the natural benthic morphology has been disrupted by excavation or digging, which and usually occur near to marinas, docks and ports to facilitate shipping channels in relative shallow areas. </Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.241921</westBoundLongitude>
       <eastBoundLongitude>-71.145904</eastBoundLongitude>
       <southBoundLatitude>21.42662</southBoundLatitude>
       <northBoundLatitude>21.825355</northBoundLatitude>
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      <Style>
       <Name>default</Name>
       <Title>default</Title>
       <LegendURL>
        <Format>image/png</Format>
        <OnlineResource xlink:href="https://webgis.gov.tc/index.php/lizmap/service/?repository=01tci&amp;project=tcimsp-open&amp;SERVICE=WMS&amp;VERSION=1.3.0&amp;REQUEST=GetLegendGraphic&amp;LAYER=Dredged&amp;FORMAT=image/png&amp;STYLE=default&amp;SLD_VERSION=1.1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple"/>
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     <Layer queryable="1">
      <Name>Sand</Name>
      <Title>Sand</Title>
      <Abstract>Characterized by a low relief, sand substrate with a bare to sparse living community cover(&lt;10%). Typically covered by a layer of cyanobacteria and commonly includes green algae genera: Halimeda, and Caulerpa. The dominant community group in this habitat class is almost evenly split by cyanobacteria and macroalgae. The community group of secondary dominance is relatively evenly split by sponges and macroalgae. This habitat has a median depth of 15m but can be found anywhere is the visible areas of the satellite imagery (0-30m in depth).</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <eastBoundLongitude>-70.946442</eastBoundLongitude>
       <southBoundLatitude>21.045307</southBoundLatitude>
       <northBoundLatitude>21.978415</northBoundLatitude>
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       <Name>default</Name>
       <Title>default</Title>
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        <Format>image/png</Format>
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     <Layer queryable="1">
      <Name>Seagrass Sparse</Name>
      <Title>Seagrass Sparse</Title>
      <Abstract>Found in shallow lagoons or relatively sheltered zones at a depth of 2-10m, characterized by a low relief, sand substrate with sparse-medium living community cover(&lt;50% cover). Living cover is dominated by a mix of seagrass species: Thalassia testudinum, Syringodium filiforme, Halodule wrightii and Halophila decipiens; and commonly associated with green algae genera: Ulva spp., Chaetomorpha spp., Caulerpa and Avrainvillea or some coral rubble habitat. In the Eastern Caribbean is commonly dominated by invasive Halophila stipulacea. There may also be somebrown algae (e.g. benthic Sargassum spp., Dictyota spp.). May be located adjacent to open patches of sand or dense seagrass. Cyanobacteria often form dense mats between macroalgal stalks covering the underlying sandy substrate. There may also be small patches of encrusting hard coral species fast growing and resistant to sand/sediment clouds (e.g. Siderastrea radians). These areas represent a lighter spectral response when compared with dense seagrass.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <westBoundLongitude>-72.484215</westBoundLongitude>
       <eastBoundLongitude>-71.077812</eastBoundLongitude>
       <southBoundLatitude>21.049331</southBoundLatitude>
       <northBoundLatitude>21.970818</northBoundLatitude>
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       <LegendURL>
        <Format>image/png</Format>
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     <Layer queryable="1">
      <Name>Seagrass Dense</Name>
      <Title>Seagrass Dense</Title>
      <Abstract>Found in shallow lagoons or relatively sheltered zones at a depth of 2-10m, characterized by a low relief, sand substrate with dense living community cover with (>50% cover). Living cover is dominated by a mix of seagrass species: Thalassia testudinum, Syringodium filiforme, Halodule wrightii and Halophila decipiens; and commonly associated with green algae genera: Ulva spp., Chaetomorpha spp., Caulerpa and Avrainvillea or some coral rubble habitat. There may also be some brown algae (e.g. benthic Sargassum spp., Dictyota spp.). These areas represent a darker spectral response when compared with spare seagrass.</Abstract>
      <CRS>CRS:84</CRS>
      <CRS>EPSG:3857</CRS>
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       <southBoundLatitude>21.167428</southBoundLatitude>
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    <Layer queryable="1">
     <Name>Coastal Habitats</Name>
     <Title>Coastal Habitats</Title>
     <Abstract>Status: In progress
&lt;/p>&lt;p>
Resolution: between 2 and 10 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset presents habitats occupying transition areas between sea and land. The dataset is based at various sources including: Turks and Caicos terrestial habitats map, aerial images, google earth images, bing images. The types of coast and shore were identified mostly by visual classification of satellite imagery. Ground surveys of selected sample sites are also planned 
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes: The layer is not finalized yet
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/coastal-habitats-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Terrestrial Habitat Map</Name>
     <Title>Terrestrial Habitat Map</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: at least 1 meter
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset presents the distribution of each vegetative community habitat class, sub-class and formation represented and mappable in the Turks and Caicos Islands and Cays. Habitat classification maps are digital data records on the location and spatial dimensions of a group of defined community types. This dataset contains ground vector planimetrics showing the distribution, delineation, and relative abundance of each distinct terrestrial habitat type represented on the island or group of islands. This product represents the special analysis and determination of discernable habitats, highlighting the vegetation community classification of the Turks and Caicos Islands.
&lt;/p>&lt;p>
Layer created by: Blue Dolphin Research &amp; Consulting
&lt;/p>&lt;p>
Data created/updated in: 2010
&lt;/p>&lt;p>
Notes: Cite data source as: Wood, K., Brunnick, B., Harzen, S., Weinberg, P., &amp; Kissinger, P. (2010). Turks and Caicos Islands Terrestrial Habitat Mapping Project
&lt;/p>&lt;p>
Data available (on request) in the  
&lt;a href="https://dataportal.gov.tc/dataset/terrestrial-habitat-map-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Name>Geographic Data</Name>
    <Title>Geographic Data</Title>
    <CRS>CRS:84</CRS>
    <CRS>EPSG:3857</CRS>
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     <eastBoundLongitude>180</eastBoundLongitude>
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    <Layer queryable="1">
     <Name>Borders</Name>
     <Title>Maritime borders</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is comprised from all levels boundaries of Turks and Caicos and includes: internal water, territorial sea, and 200 miles exclusive fishery zone. The borders were digitized from maps created by UKHO Land and Sea Office and Admiralty Maritime Data Solutions. 
&lt;/p>&lt;p>
Data source: UK Hydrographic Office, Law of the Sea 
&lt;/p>&lt;p>
Layer created by: Anonymous
&lt;/p>&lt;p>
Data created/updated in: 2019
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/national-boundaries-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Reef Bank</Name>
     <Title>Turks and Caicos Reef Bank</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: unknown
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon shapefile layer with the approximate edge of shallow water of Turks and Caicoss reef bank. The reef bank roughly coresponds to a 20 m depth contour. 
&lt;/p>&lt;p>
Layer created by: Christopher Close
&lt;/p>&lt;p>
Data created/updated in: 2003
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/tci-reef-bank-sdb" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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      <eastBoundLongitude>-70.946612</eastBoundLongitude>
      <southBoundLatitude>21.044874</southBoundLatitude>
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      <Title>default</Title>
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    <Layer queryable="1">
     <Name>Sea Fepth Contours (With SDB)</Name>
     <Title>Bathymetry contours (depth in m)</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 50m for Turks and Caicos shalow water (up to 20 m depth), otherwise 30 arc-second
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: Depth contour lines derived from GEBCO global grid (30 arc-second) combined with SDB (Satellite-Derived Bathymetry) for Turks and Caicos bank (50 m).
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/gebco-contour" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <Name>Inland Waters</Name>
     <Title>Inland Waters</Title>
     <Abstract>Status: In progress
&lt;/p>&lt;p>
Resolution: between 2 and 10 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a polygon shapefile layer with all the inland water bodies of Turks and Caicos. It includes freshwater ponds, salt water ponds, natural channels lagoons and other water bodies inside the islands as well as artificial channels and marinas. The datased was created from variuos sources. The primary source was a hydrography dataset obtained from DECR database. This layer was then validated and edited using google earth imagery in order to have more accurate and up to date information..
&lt;/p>&lt;p>
Layer created by: Anonymous
&lt;/p>&lt;p>
Review, validation and corrections: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes: The layer is not finalized yet
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/hydrography-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Islands</Name>
     <Title>Islands</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 10 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset represents land areas of Turks and Caicos. It also includes some information about the islands: name, area, population.
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Data available in the  
&lt;a href="https://dataportal.gov.tc/dataset/shoreline-tci" target="_blank">Data Portal&lt;/a>
&lt;/p>&lt;p></Abstract>
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     <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Bathymetry of the Turks and Caicos EEZ</Name>
     <Title>Bathymetry of the Turks and Caicos EEZ</Title>
     <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 50m
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description: The dataset is a combination of data from two sources: the Satellite-Derived Bathymetry (SDB) with the initial resolution of 10m for shallow waters up to 20m and General Bathymetric Chart of the Oceans (GEBCO) with the initial resolution of 15 arc-second (~500m) for the areas deeper than 20m. Both layers were resampled to 50m and merged. The dataset is clipped to the Turks and Caicos Exlcusive Economic Area.
&lt;/p>&lt;p>
Data source: Sentinel SDB and GEBCO
&lt;/p>&lt;p>
Layer created by: Marcin Gorny 
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Bing Satellite Images</Name>
     <Title>Satellite Images</Title>
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   <Layer queryable="1">
    <Name>Climate Data</Name>
    <Title>Climate Data</Title>
    <CRS>CRS:84</CRS>
    <CRS>EPSG:3857</CRS>
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    <Layer queryable="1">
     <Name>Day Sea Surface Temperature</Name>
     <Title>Day Sea Surface Temperature</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Layer queryable="1">
      <Name>Land extent (dsst)</Name>
      <Title>Land extent (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 10 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset represents land areas of Turks and Caicos. 
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>December (dsst)</Name>
      <Title>December (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for December. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>November (dsst)</Name>
      <Title>November (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for November. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>October (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for October. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>September (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for September. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>August (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for August. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Name>July (dsst)</Name>
      <Title>July (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for July. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>June (dsst)</Name>
      <Title>June (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for June. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>May (dsst)</Name>
      <Title>May (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for May. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>April (dsst)</Name>
      <Title>April (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for April. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>March (dsst)</Name>
      <Title>March (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for March. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>February (dsst)</Name>
      <Title>February (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for February. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>January (dsst)</Name>
      <Title>January (dsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents day sea surface temperature for January. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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    <Layer queryable="1">
     <Name>Night Sea Surface Temperature</Name>
     <Title>Night Sea Surface Temperature</Title>
     <CRS>CRS:84</CRS>
     <CRS>EPSG:3857</CRS>
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     <Layer queryable="1">
      <Name>Land extent (nsst)</Name>
      <Title>Land extent (nsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: between 2 and 10 meters
&lt;/p>&lt;p>
Spatial coordinates: WGS84
&lt;/p>&lt;p>
Description:The dataset represents land areas of Turks and Caicos. 
&lt;/p>&lt;p>
Data source: Department of Environment and Coastal Resources
&lt;/p>&lt;p>
Layer created by: Marcin Gorny
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p></Abstract>
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      <Abstract>Status: Complete
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&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for December. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for November. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>October (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for October. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>September (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for September. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>August (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for August. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>July (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for July. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>June (nsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for June. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>May (nsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for May. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>April (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for April. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>March (nsst)</Title>
      <Abstract>Status: Complete
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Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for March. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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      <Title>February (nsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for February. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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     <Layer queryable="1">
      <Name>January (nsst)</Name>
      <Title>January (nsst)</Title>
      <Abstract>Status: Complete
&lt;/p>&lt;p>
Resolution: 100m
&lt;/p>&lt;p>
Spatial coordinates: World Mercator
&lt;/p>&lt;p>
Data source: AQUA-MODIS
&lt;/p>&lt;p>
Description: The dataset presents night sea surface temperature for January. The temperature was calculated as a mean value for period 2010-2019. The original datasets from AQUA-MODIS satellites obtained with the resolution of 4km were interpolated as a continuous surface with the resolution of 100m with thin plate spline interpolation using points derived from the original data. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. The temperature is presented in Celsius. Color step is 0,5 Celsius. Contour line step is 0,1 Celsius
&lt;/p>&lt;p>
Layer created by: Marcin Gorny based at AQUA-MODIS data
&lt;/p>&lt;p>
Data created/updated in: 2020
&lt;/p>&lt;p>
Notes:
&lt;/p>&lt;p></Abstract>
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