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Layer: Ports (900)

Name: Ports

Display Field: PORT_NAME

Type: Feature Layer

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Description: This dataset depicts ports for the Wider Caribbean from the the World Port Index (Pub 150) publication contains the location, characteristics, known facilities, and available services of major ports, shipping facilities and oil terminals throughout the world (approximately 64,000 entries). The data in this publication is mostly tabular and new editions are published bi-annually and is available as a download from the National Geospatial-Intelligence Agency website (http://164.214.12.145/pubs/pubs_j_wpi_sections.html).

Copyright Text: World Port Index

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Spatial Reference: 4269  (4269)



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Layer: Submersible Dives (901)

Name: Submersible Dives

Display Field: Source

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Description: This layer provides the general location of dives conducted by underwater vehicles (ROV, AUV, and HOV) from 1964 to 2018. This layer represents as comprehensive a list as currently possible from publicly available data, but does not necessarily represent a complete inventory. The fields included for each dive are standardized and include information regarding location, date, maximum depth, purpose, focus, survey type, and principal investigator. Dives are also identified if used during BOEM data rescue efforts, if the dive or cruise was SEDCI funded, and flagged if there are any positional or depth issues of concern. This layer intends to be used to highlight dives occurring in the SE region of the United States (including SE Atlantic, Gulf of Mexico and Caribbean) though it includes dives from the entire Atlantic as part of the layer. Dives that are out side of the SE region should be hidden to avoid confusion. A field for suggested color codes is included. Dives funded by SEDCI are recommended to be symbolized in green, Dives with a positional or depth issue are flagged and should be symbolized in red, dives that are outside of the Southeast region should be hidden, and all other dives should be symbolized in gray. Dives included in this layer come from Harbor Branch Oceanographic Institute (HBOI), Wood Hole Oceanographic Instititue (WHOI), National Oceanic and Atmospheric Administration (NOAA), University of North Carolina Wilmington - Underwater Vehicle Program, Temple University, Lehigh University, University of Puerto Rico, Schmidt Ocean Institute, and Ocean Exploration Trust.

Copyright Text: National Centers for Coastal Ocean Science (NCCOS)

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Layer: Submersible Dives (902)

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Copyright Text: National Centers for Coastal Ocean Science (NCCOS)

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Layer: Bathymetric Contours (903)

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Description: This layer contains dissolved bathymetric contour lines derived from the ETOPO1 Global Relief Model dataset using the ArcMap Contour tool. The lines are staggered at 50m, 300m, 1000m, 1500m, and 2000m depths.

Copyright Text: National Centers for Coastal Ocean Science (NCCOS); National Centers for Environmental Information (NCEI)

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Layer: Southeast Atlantic (1)

Sub Layers:
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• Deep Sea Organism Presence
• Marine Managed Areas
• Habitat Suitability Models
• Undersea Features
• Inventory of Seafloor Mapping Surveys
Name: Southeast Atlantic

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Description: Geosptial Information collection for the Southeast US off-shore area. Covering:Deep-Sea Coral Observations; ROV Dives; Managed Areas; Predicitive Models; Undersea Features; Seafloor Mapping Surveys; BOEM lease blocks.

Copyright Text: NOAA National Centers for Coastal Ocean Science

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Spatial Reference: 4269  (4269)



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Layer: Southeast Atlantic - Area of Interest (101)

Parent Layer: Southeast Atlantic

Name: Southeast Atlantic - Area of Interest

Display Field: AreaName

Type: Feature Layer

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Description: Gulf of Mexico area of interest for the Deep Sea Coral Research & Technology Program Southeast database inventory.

Copyright Text: NOAA National Centers for Coastal and Ocean Science; Deep Sea Coral Research & Technology Program

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Layer: Deep Sea Organism Presence (700)

Parent Layer: Southeast Atlantic

Sub Layers:
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• Sea Pen Presence
• Coral Presence
Name: Deep Sea Organism Presence

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Description: These layers are a representation of deepsea organism presence within a 1 km square grid.

Copyright Text: National Centers for Coastal Ocean Science (NCCOS), 2019

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Layer: Sponge Presence (701)

Parent Layer: Deep Sea Organism Presence

Name: Sponge Presence

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Description: This dataset contains 1 sq km cells within which records of deep sea sponge specimens are documented in the NOAA DSCRTP National Deep-Sea Coral and Sponge Database in the Southeastern Atlantic.

Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP) National Deep-Sea Coral and Sponge Database; National Centers for Coastal Ocean Science (NCCOS)

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Layer: Sea Pen Presence (702)

Parent Layer: Deep Sea Organism Presence

Name: Sea Pen Presence

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP) National Deep-Sea Coral and Sponge Database; National Centers for Coastal Ocean Science (NCCOS)

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Description: This layer displays boundaries for Marine Managed Areas designated as "Special Research Area" in the Southeast Atlantic. The purpose of this data is to increase awareness of restrictions and protections of marine life. To achieve this goal, this data lists the area name, its purpose, an overview of what is restricted and allowed, and its geographic boundary. This dataset includes Federal and State data from internet searches and downloads from official sources. However, additional municipally managed sites may exist that are not included. The MPA Inventory is a comprehensive catalog that provides detailed information for existing marine protected areas in the United States. Additionally, this feature class includes records included in the 2014 MPA Center Inventory that were not included in the updated inventory produced by the MPA Center and the Anthropocene Institute. The inventory provides geospatial boundary information (in polygon format) and classification attributes that seek to define the conservation objectives, protection level, governance and related management criteria for all sites in the database. The comprehensive inventory of federal, state and territorial MPA sites provides governments and stakeholders with access to information to make better decisions about the current and future use of place-based conservation. The information also will be used to inform the development of the national system of marine protected areas as required by Executive Order 13158.

Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Layer: Habitat Suitability Models (105)

Parent Layer: Southeast Atlantic

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Name: Habitat Suitability Models

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Description: These datasets contain predicted habitat suitability models for deep-sea corals in the U.S. Southeast Atlantic (both as the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables and as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a MaxEnt model derived from coral presence locations and environmental predictor variables at 370.65m resolution). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Continuous Output (1051)

Parent Layer: Habitat Suitability Models

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Description: This dataset contains predicted habitat suitability models for deep-sea corals in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Alcyonaceae (10511)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the order Alcyonacea in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Antipatharia (10512)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the order Antipatharia in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Calcaxonia (10513)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborder Calcaxonia (order Alcyonacea) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Enallopsammia profunda (10514)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the species Enallopsammia profunda (order Scleractinia, family Dendrophylliidae, genus Enallopsammia) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Framework-forming Scleractinia (10515)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for framework-forming deep-sea corals in the order Scleractinia (including Enallopsammia profunda, Enallopsammia rostrata, Lophelia pertusa, Madracis spp., Madrepora spp., and Solenosmilia variabilis, but excluding Oculina spp.) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Gorgonian Alcyonaceae (10516)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborders Calcaxonia, Holaxonia, or Scleraxonia (order Alcyonacea) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Holaxonia (10517)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborder Holaxonia (order Alcyonacea) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Lophelia pertusa (10518)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the species Lophelia pertusa (order Scleractinia, family Caryophylliidae, genus Lophelia) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Madrepora oculata (10519)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the species Madrepora oculata (order Scleractinia, family Oculinidae, genus Madrepora) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Non-framework forming Scleractinia (105110)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for non-framework forming deep-sea corals in the order Scleractinia (excludes Enallopsammia profunda, Enallopsammia rostrata, Lophelia pertusa, Madracis spp., Madrepora spp., and Solenosmilia variabilis) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Non-gorgonian Alcyonaceae (105111)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborders Alcyoniina or Stolonifera (order Alcyonacea) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Oculina (105112)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Oculina (order Scleractinia, family Oculinidae) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Pennatulacea (105113)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the order Pennatulacea in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Stylasteridae (105114)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Stylasteridae (order Anthoathecatae, suborder Filifera) in the U.S. Southeast Atlantic and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Categorized Output (1052)

Parent Layer: Habitat Suitability Models

Sub Layers:
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• Antipatharia
• Calcaxonia
• Enallopsammia profunda
• Framework-forming Scleractinia
• Gorgonian Alcyonaceae
• Holaxonia
• Lophelia pertusa
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Description: This dataset contains predicted habitat suitability models for deep-sea corals in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Alcyonaceae (10521)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Alcyonacea in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Antipatharia (10522)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Antipatharia in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Calcaxonia (10523)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborder Calcaxonia (order Alcyonacea) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Enallopsammia profunda (10524)

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Name: Enallopsammia profunda

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the species Enallopsammia profunda (order Scleractinia, family Dendrophylliidae, genus Enallopsammia) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Framework-forming Scleractinia (10525)

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Name: Framework-forming Scleractinia

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Description: This dataset depicts the predicted likelihood of suitable habitat for framework-forming deep-sea corals in the order Scleractinia (including Enallopsammia profunda, Enallopsammia rostrata, Lophelia pertusa, Madracis spp., Madrepora spp., and Solenosmilia variabilis, but excluding Oculina spp.) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Gorgonian Alcyonaceae (10526)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborders Calcaxonia, Holaxonia, or Scleraxonia (order Alcyonacea) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborder Holaxonia (order Alcyonacea) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Lophelia pertusa (10528)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the species Lophelia pertusa (order Scleractinia, family Caryophylliidae, genus Lophelia) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Madrepora oculata (10529)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the species Madrepora oculata (order Scleractinia, family Oculinidae, genus Madrepora) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Non-framework forming Scleractinia (105210)

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Description: This dataset depicts the predicted likelihood of suitable habitat for non-framework-forming deep-sea corals in the order Scleractinia (excludes Enallopsammia profunda, Enallopsammia rostrata, Lophelia pertusa, Madracis spp., Madrepora spp., and Solenosmilia variabilis) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Non-gorgonian Alcyonaceae (105211)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborders Alcyoniina or Stolonifera (order Alcyonacea) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Oculina (105213)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Oculina (order Scleractinia, family Oculinidae) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Pennatulacea (105214)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Pennatulacea in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Spatial Reference: 4269  (4269)



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Layer: Stylasteridae (105215)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Stylasteridae (order Anthoathecatae, suborder Filifera) in the U.S. Southeast Atlantic as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Dan Dorfman. Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Tom Hourigan (NOAA Deep-Sea Coral Research and Technology Program)

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Layer: Undersea Features (106)

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Description: This dataset represents undersea features in the Southeast Atlantic Ocean from combined sources. Sources that reported this data include NOAA Office of Coastal Management (OCM), Gazetteer, General Bathymetric Chart of the Oceans (GEBCO), and National Centers for Coastal Ocean Science (NCCOS)

Copyright Text: NOAA Office of Coastal Management (OCM), Gazetteer, General Bathymetric Chart of the Oceans (GEBCO), and National Centers for Coastal Ocean Science (NCCOS)

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Layer: Inventory of Seafloor Mapping Surveys (107)

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Description: Inventory of seafloor mapping surveys in the Southeast Atlantic

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS)

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Layer: Data Type (1071)

Parent Layer: Inventory of Seafloor Mapping Surveys

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Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Southeast Atlantic. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI)

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YMin: 17.785974699000064
XMax: -62.67735479399994
YMax: 41.44578567000008
Spatial Reference: 4269  (4269)



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Layer: Primary Sensor Type (1072)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Primary Sensor Type

Display Field: SURVEY_ID

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Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Southeast Atlantic. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI)

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YMin: 17.785974699000064
XMax: -62.67735479399994
YMax: 41.44578567000008
Spatial Reference: 4269  (4269)



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Layer: Secondary Sensor Type (1073)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Secondary Sensor Type

Display Field: SURVEY_ID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Southeast Atlantic. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI)

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YMin: 17.785974699000064
XMax: -62.67735479399994
YMax: 41.44578567000008
Spatial Reference: 4269  (4269)



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Layer: Data Time Period (1054)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Data Time Period

Display Field: SURVEY_ID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Southeast Atlantic. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI)

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -94.62437512399998
YMin: 17.785974699000064
XMax: -62.67735479399994
YMax: 41.44578567000008
Spatial Reference: 4269  (4269)



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HasZ: false

HasM: false

Time Info:
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End Time Field: END_DATE
Track ID Field: null
Time Extent:
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Time Reference:
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Time Offset: null (null)

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Layer: Survey Tracklines for Missing Footprints (1055)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Survey Tracklines for Missing Footprints

Display Field: SURVEY_ID

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Southeast Atlantic. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data sources include the NOAA NCEI Bathymetric Data Viewer.This layer includes only cruise tracklines for multibeam, side scan, and/or interferometric surveys which have no accessible data products in which to create a polygon footprint.

Copyright Text: NOAA National Centers for Environmental Information (NCEI)

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

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Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -125.11704602299994
YMin: -1.7149400939999282
XMax: -25.42776837499997
YMax: 47.70190686600006
Spatial Reference: 4269  (4269)



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Copyright Text: NOAA National Centers for Coastal Ocean Science

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Copyright Text: NOAA National Centers for Coastal and Ocean Science; Deep Sea Coral Research & Technology Program

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP) National Deep-Sea Coral and Sponge Database; National Centers for Coastal Ocean Science (NCCOS)

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP) National Deep-Sea Coral and Sponge Database; National Centers for Coastal Ocean Science (NCCOS)

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Copyright Text: National Oceanic and Atmospheric Administration (NOAA) Deep Sea Coral Research and Technology Program (DSCRTP) National Deep-Sea Coral and Sponge Database; National Centers for Coastal Ocean Science (NCCOS)

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Copyright Text: NOAA National Centers for Coastal Ocean Science (NCCOS)

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Description: The purpose of this data is to increase awareness of restrictions and protections of marine life. To achieve this goal, this data lists the area name, its purpose, an overview of what is restricted and allowed, and its geographic boundary. This dataset includes Federal and State data from internet searches and downloads from official sources. However, additional municipally managed sites may exist that are not included. The MPA Inventory is a comprehensive catalog that provides detailed information for existing marine protected areas in the United States. Additionally, this feature class includes records included in the 2014 MPA Center Inventory that were not included in the updated inventory produced by the MPA Center and the Anthropocene Institute. The inventory provides geospatial boundary information (in polygon format) and classification attributes that seek to define the conservation objectives, protection level, governance and related management criteria for all sites in the database. The comprehensive inventory of federal, state and territorial MPA sites provides governments and stakeholders with access to information to make better decisions about the current and future use of place-based conservation. The information also will be used to inform the development of the national system of marine protected areas as required by Executive Order 13158.

Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; National Centers for Coastal Ocean Science

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Copyright Text: Gulf of Mexico Fishery Management Council

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment.

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment.

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment.

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment.

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment. 2014 coral locations for Florida Keys taken from Unified Florida Reef Tract provided by FWC-FWRI (Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute), and for the Texas banks from H. Nash and Gulf of Mexico Fishery Managment Council.

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Copyright Text: Gulf of Mexico Fishery Management Council; MRAG Americas and GIS Solutions, Inc. completed the GIS analysis and produced maps for the EIS and Amendment.

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Copyright Text: Gulf of Mexico Fishery Management Council

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Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborders Calcaxonia, Holaxonia, or Scleraxonia (order Alcyonacea) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the suborders Alcyoniina or Stolonifera (order Alcyonacea) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: All Framework-forming Corals (20514)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for framework-forming deep-sea corals in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Antipatharia (20515)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the order Antipatharia in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Bebryce spp. (20516)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Bebryce (order Alcyonacea, suborder Holaxonia, family Paramuriceidae) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Callogorgia spp. (20517)

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Name: Callogorgia spp.

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Callogorgia (order Alcyonacea, suborder Calcaxonia, family Primnoidae) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Ellisellidae (20518)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Ellisellidae (order Alcyonacea, suborder Calcaxonia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Gorgoniidae (20519)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Gorgoniidae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Hypnogorgia spp. (205110)

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Name: Hypnogorgia spp.

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Hypnogorgia (order Alcyonacea, suborder Holaxonia, family Plexauridae) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Isididae (205111)

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Name: Family Isididae

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Isididae (order Alcyonacea, suborder Calcaxonia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Lophelia pertusa (205112)

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Name: Lophelia pertusa

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the species Lophelia pertusa (order Scleractinia, family Caryophylliidae, genus Lophelia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Madracis spp. (205113)

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Name: Madracis spp.

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Madracis (order Scleractinia, family Pocilloporidae) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Madrepora spp. (205114)

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Name: Madrepora spp.

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the genus Madrepora (order Scleractinia, family Oculinidae) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Paramuriceidae (205115)

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Name: Family Paramuriceidae

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Paramuriceidae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Plexauridae (205116)

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Name: Family Plexauridae

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the family Plexauridae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: All Scleractinia (205117)

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Name: All Scleractinia

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for deep-sea corals in the order Scleractinia in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Framework-forming Scleractinia (205118)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for framework-forming deep-sea corals in the order Scleractinia (including Dendrophyllia alternata, Enallopsammia spp., Lophelia spp., Madracis spp., Madrepora spp., and Solenosmilia variabilis but excluding Oculina spp.) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Non-framework forming Scleractinia (205119)

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Description: This dataset depicts the predicted habitat suitability (at 370.65m horizontal grid resolution) for non-framework-forming deep-sea corals in the order Scleractinia (excludes Dendrophyllia alternata, Enallopsammia spp., Lophelia spp., Madracis spp., Madrepora spp., and Solenosmilia variabilis) in the U.S. Gulf of Mexico and is the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables. MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Categorized Output (2052)

Parent Layer: Habitat Suitability Models

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• Non-gorgonian Alcyonacea
• All Framework-forming Corals
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• Bebryce spp.
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• Family Ellisellidae
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• Lophelia pertusa
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Description: This dataset contains predicted habitat suitability models for deep-sea corals in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Alcyonacea (20521)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Alcyonacea in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Gorgonian Alcyonacea (20522)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborders Calcaxonia, Holaxonia, or Scleraxonia (order Alcyonacea) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Non-gorgonian Alcyonacea (20523)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the suborders Alcyoniina or Stolonifera (order Alcyonacea) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: All Framework-forming Corals (20524)

Parent Layer: Categorized Output

Name: All Framework-forming Corals

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Description: This dataset depicts the predicted likelihood of suitable habitat for framework-forming deep-sea corals in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Antipatharia (20525)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Antipatharia in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Bebryce (order Alcyonacea, suborder Holaxonia, family Paramuriceidae) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Callogorgia spp. (20527)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Callogorgia (order Alcyonacea, suborder Calcaxonia, family Primnoidae) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Layer: Family Ellisellidae (20528)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Ellisellidae (order Alcyonacea, suborder Calcaxonia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Family Gorgoniidae (20529)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Gorgoniidae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Hypnogorgia spp. (205210)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Hypnogorgia (order Alcyonacea, suborder Holaxonia, family Plexauridae) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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YMin: 23.659396870244766
XMax: -80.18687100927124
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Spatial Reference: 4269  (4269)



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Layer: Family Isididae (205211)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Isididae (order Alcyonacea, suborder Calcaxonia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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XMax: -80.18687100927124
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Spatial Reference: 4269  (4269)



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Layer: Lophelia pertusa (205212)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the species Lophelia pertusa (order Scleractinia, family Caryophylliidae, genus Lophelia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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XMax: -80.18687100927124
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Spatial Reference: 4269  (4269)



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Layer: Madracis spp. (205213)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Madracis (order Scleractinia, family Pocilloporidae) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Spatial Reference: 4269  (4269)



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Layer: Madrepora spp. (205214)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the genus Madrepora (order Scleractinia, family Oculinidae) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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XMax: -80.18687100927124
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Spatial Reference: 4269  (4269)



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Layer: Family Paramuriceidae (205215)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Paramuriceidae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the family Plexauridae (order Alcyonacea, suborder Holaxonia) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted likelihood of suitable habitat for deep-sea corals in the order Scleractinia in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted likelihood of suitable habitat for framework-forming deep-sea corals in the order Scleractinia (including Dendrophyllia alternata, Enallopsammia spp., Lophelia spp., Madracis spp., Madrepora spp., and Solenosmilia variabilis but excluding Oculina spp.) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Description: This dataset depicts the predicted likelihood of suitable habitat for non-framework-forming deep-sea corals in the order Scleractinia (excludes Dendrophyllia alternata, Enallopsammia spp., Lophelia spp., Madracis spp., Madrepora spp., and Solenosmilia variabilis) in the U.S. Gulf of Mexico as coral habitat suitability likelihood classes derived from a categorical reclassification of the logistic output of a maximum entropy (MaxEnt) model derived from coral presence locations and environmental predictor variables at 370.65m resolution. The reclassification used calibrated thresholds based on different hypothetical scenarios of the false positive:false negative cost ratio, that is, the relative cost of false positive versus false negative errors. Thresholds were chosen to minimize error rates when tested on data left out of the model-fitting process (cross-validation datasets), after weighting false positive and false negative error rates by the indicatd cost ratio. The thresholds were then used to create coral habitat suitability likelihood classes depicting several categories of predicted likelihood of habitat suitability. Coral habitat suitability likelihood classes can be qualitatively described as follows: Low Likelihood (Category 0, FP:FN cost ratio < 1:1, Medium-Low Likelihood (Category 1, FP:FN cost ratio > 1:1 but less than 2:1), Medium Likelihood (Category 2, FP:FN cost ratio > 2:1 but less than 5:1), High Likelihood (Category 5, FP:FN cost ratio > 5:1 but less than 10:1), Very High Likelihood (Category 10, FP:FN cost ratio > 10:1). MaxEnt is a type of statistical model. The outputs depicted here represent statistical model predictions, and as such may vary greatly in their accuracy, and may or may not reflect actual conditions at any given location. This information is provided as-is for research and evaluation purposes.

Copyright Text: Brian Kinlan, Matthew Poti, Laughlin Siceloff, Dan Dorfman, Chris Caldow (NOAA/NOS/NCCOS/CCMA Biogeography Branch); Peter Etnoyer (NOAA/NOS/NCCOS Center for Coastal Environmental Health and Biomolecular Research); Chris Jenkins (University of Colorado at Boulder)

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Copyright Text: NOAA Office of Coastal Management (OCM); Gulf Base; R/V Falkor; Gazetteer; General Bathymetric Chart of the Oceans (GEBCO); National Centers for Coastal Ocean Science (NCCOS)

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Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS)

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Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS)

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Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS)

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Layer: Secondary Sensor Type (2073)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Secondary Sensor Type

Display Field: SurveyID

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Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Gulf of Mexico. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data sources include the NOAA NCEI Bathymetric Data Viewer and the USGS Pacific Coastal and Marine Science Center (http://walrus.wr.usgs.gov/pacmaps/index.html).

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS)

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Spatial Reference: 4269  (4269)



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Layer: Data Time Period (2074)

Parent Layer: Inventory of Seafloor Mapping Surveys

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Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Gulf of Mexico. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data sources include the NOAA NCEI Bathymetric Data Viewer and the USGS Pacific Coastal and Marine Science Center (http://walrus.wr.usgs.gov/pacmaps/index.html).

Copyright Text: NOAA National Centers for Coastal and Ocean Science; NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS)

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Spatial Reference: 4269  (4269)



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Parent Layer: Inventory of Seafloor Mapping Surveys

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Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the Gulf of Mexico. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data sources include the NOAA NCEI Bathymetric Data Viewer and the USGS Pacific Coastal and Marine Science Center (http://walrus.wr.usgs.gov/pacmaps/index.html).This layer includes only cruise tracklines for multibeam, side scan, and/or interferometric surveys which have no accessible data products in which to create a polygon footprint.

Copyright Text: NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS); NOAA National Centers for Coastal and Ocean Science

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Spatial Reference: 4269  (4269)



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Layer: Bureau of Ocean Energy Management (BOEM) (208)

Parent Layer: Gulf of Mexico

Sub Layers:
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• Oil and Gas Pipelines
• BOEM Lease Blocks
Name: Bureau of Ocean Energy Management (BOEM)

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Description: This dataset details locations of lease blocks, oil and gas platforms and pipelines.

Copyright Text: Bureau of Ocean Energy Management

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Copyright Text: Bureau of Ocean Energy Management

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Layer: Oil and Gas Pipelines (2082)

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Copyright Text: Bureau of Ocean Energy Management

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Copyright Text: Bureau of Ocean Energy Management

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Layer: Caribbean (3)

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• Deep Sea Organism Presence
• Marine Managed Areas
• Undersea Features
• Inventory of Seafloor Mapping Surveys
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Description: Geosptial Information collection for the Caribbean US off-shore area. Covering:Deep-Sea Coral Observations; ROV Dives; Managed Areas; Predicitive Models; Undersea Features; Seafloor Mapping Surveys; BOEM lease blocks.

Copyright Text: NOAA National Centers for Coastal Ocean Science

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Layer: Caribbean - Area of Interest (301)

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Description: Caribbean area of interest for the Deep Sea Coral Research & Technology Program Southeast database inventory.

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS); Deep Sea Coral Research & Technology Program (DSCRTP)

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Copyright Text: The Anthropocene Institute in partnership with the NOAA Marine Protected Area Center; Caribbean Landscape Conservation Cooperative Protected Areas Conservation Action Team; National Centers for Coastal Ocean Science

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Description: This dataset represents undersea features in the Caribbean from combined sources. Sources that reported this data include NOAA Office of Coastal Management (OCM), Gazetteer, General Bathymetric Chart of the Oceans (GEBCO), and National Centers for Coastal Ocean Science (NCCOS)

Copyright Text: NOAA Office of Coastal Management (OCM); Gazetteer; General Bathymetric Chart of the Oceans (GEBCO); National Centers for Coastal Ocean Science (NCCOS)

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Layer: Inventory of Seafloor Mapping Surveys (307)

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Description: Inventory of seafloor mapping surveys in the US Caribbean.

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS)

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Layer: Data Type (3071)

Parent Layer: Inventory of Seafloor Mapping Surveys

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Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS); NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS); United States Army Corps of Engineers (USACE); United States Navy; GPR

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Layer: Primary Sensor Type (3072)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Primary Sensor Type

Display Field: SurveyID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the US Caribbean. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS); NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS); United States Army Corps of Engineers (USACE); United States Navy; GPR

Default Visibility: true

MaxRecordCount: 1000

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YMin: 16.131288201000075
XMax: -62.010470158999965
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Spatial Reference: 4269  (4269)



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Layer: Secondary Sensor Type (3073)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Secondary Sensor Type

Display Field: SurveyID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the US Caribbean. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS); NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS); United States Army Corps of Engineers (USACE); United States Navy; GPR

Default Visibility: true

MaxRecordCount: 1000

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YMin: 16.131288201000075
XMax: -62.010470158999965
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Spatial Reference: 4269  (4269)



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Layer: Data Time Period (3074)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Data Time Period

Display Field: SurveyID

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the US Caribbean. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data source is the NOAA NCEI Bathymetric Data Viewer.

Copyright Text: NOAA National Centers for Coastal and Ocean Science (NCCOS); NOAA National Centers for Environmental Information (NCEI); United States Geologic Survey (USGS); United States Army Corps of Engineers (USACE); United States Navy; GPR

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -74.25947141499995
YMin: 16.131288201000075
XMax: -62.010470158999965
YMax: 40.889788498000065
Spatial Reference: 4269  (4269)



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Layer: Survey Tracklines for Missing Footprints (3075)

Parent Layer: Inventory of Seafloor Mapping Surveys

Name: Survey Tracklines for Missing Footprints

Display Field: Survey_ID_1

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: This dataset contains an inventory of existing seafloor mapping surveys including coverage extent footprints of currently available digital, contemporary swath acoustic sonar for the US Caribbean. Each footprint represents a collection of multibeam, side scan, and interferometric survey data. Data sources include the NOAA NCEI Bathymetric Data Viewer.This layer includes only cruise tracklines for multibeam, side scan, and/or interferometric surveys which have no accessible data products in which to create a polygon footprint.

Copyright Text: NOAA National Centers for Environmental Information (NCEI); NOAA National Centers for Coastal and Ocean Science

Default Visibility: true

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Has Labels: false

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YMin: 10.371302916000047
XMax: -60.65971656699996
YMax: 20.43505811700004
Spatial Reference: 4269  (4269)



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