gov.noaa.nodc:0276866 eng utf8 model NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2025-12-16T13:13:53Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) NCCOS Assessment: Predicted habitat suitability for Leiopathes glaberrima in the US Gulf of Mexico, 2016-01-17 to 2017-09-30 (NCEI Accession 0276866) 2023-03-13 publication 2023-02-27 creation International DOI Foundation (IDF) 10.25921/cn6a-6g06 NOAA National Centers for Environmental Information gov.noaa.nodc:0276866 NCEI Archive Management System 0276866 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information resourceProvider Peter Etnoyer NOAA National Centers for Coastal Ocean Science (NCCOS) peter.etnoyer@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information principalInvestigator Peter Etnoyer NOAA National Centers for Coastal Ocean Science (NCCOS) peter.etnoyer@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Matthew Poti NOAA National Centers for Coastal Ocean Science (NCCOS) peter.etnoyer@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact NOAA National Centers for Coastal Ocean Science (NCCOS) NCCOS Data Manager nccos.data@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Etnoyer, Peter NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Wagner, Daniel author Fowle, Holly author Poti, Matthew NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Kinlan, Brian author Georgian, Samuel author Cordes, Erik author NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information contributor tableDigital This data collection contains outputs from spatial predictive models of habitat suitability for the black coral Leiopathes glaberrima in the U.S. Gulf of Mexico. The models were derived from records of Leiopathes glaberrima occurrence and environmental and oceanographic variables describing conditions that may influence the distribution of deep-sea corals, including measures of depth, steepness, and complexity of the seafloor, composition of sediments on the seafloor, and ocean productivity. Deep-sea corals are of particular conservation concern due to their slow growth rates and vulnerability to disturbance. Predictive modeling of deep-sea coral habitat can aid conservation planning, inform management of offshore activities affecting the seafloor, and guide exploration. Modeling can also lend insights into the environmental factors driving the distribution of deep-sea corals, helping to build our understanding of how these unique ecosystems function. This model of habitat suitability for Leiopathes glaberrima was created in support of the NOAA Deep Sea Coral Research and Technology Program (DSCRTP) Southeast Deep Coral Initiative (SEDCI, Etnoyer et al. 2021) to 1) ascertain the spatial distribution of Leiopathes glaberrima, a deep-sea black coral [Antipatharia:Leiopathidae] in the U.S. Gulf of Mexico; 2) determine the environmental factors that contribute to its occurrence, and 3) to produce maps of the predicted habitat suitability for the purposes of management and exploration. Funding Agency: NOAA Deep Sea Coral Research and Technology Program (DSCRTP) Funding Agency: NOAA National Centers for Coastal Ocean Science completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0276866 Preview graphic PNG 0276866 NCEI ACCESSION NUMBER 2023-02-24 publication CORAL HABITAT - BENTHIC PRODUCTIVITY SEDIMENTS water depth theme NODC DATA TYPES THESAURUS model output theme NODC OBSERVATION TYPES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS Coastal Waters of Alabama Coastal Waters of Florida Coastal Waters of Gulf of Mexico Coastal Waters of Louisiana Coastal Waters of Mississippi Coastal Waters of Texas Flower Garden Banks National Marine Sanctuary Gulf of Mexico place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH EARTH SCIENCE > OCEANS > MARINE SEDIMENTS EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > CORAL REEFS theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Marine Spatial Ecology > Ecological and Biogeographic Assessments theme NCCOS Research Areas Geospatial Model theme NCCOS Research Data Types Habitat Suitability Leiopathes glaberrima black corals deep sea corals theme Provider Keywords Models/Analyses > Data Analysis > Environmental Modeling instrument Provider Instruments OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF AMERICA OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MEXICO place Global Change Master Directory (GCMD) Location Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian U.S. States and Territories > Alabama U.S. States and Territories > Florida U.S. States and Territories > Louisiana U.S. States and Territories > Mississippi U.S. States and Territories > Texas Waterbodies > Gulf of Mexico place NCCOS Regions of Study Coastal Ocean Continental Shelf place Provider Place Names BR43JR Send2NCEI Submission Package ID accessLevel: public otherRestrictions Cite as: Etnoyer, Peter; Wagner, Daniel; Fowle, Holly; Poti, Matthew; Kinlan, Brian; Georgian, Samuel; Cordes, Erik (2023). NCCOS Assessment: Predicted habitat suitability for Leiopathes glaberrima in the US Gulf of Mexico, 2016-01-17 to 2017-09-30 (NCEI Accession 0276866). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/cn6a-6g06. Accessed [date]. Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. Etnoyer, P. (2021). NOAA Deep Sea Coral Research and Technology Program Southeast Deep Coral Initiative (SEDCI) 2016-2019: Final Report. United States. National Marine Fisheries Service. https://doi.org/10.25923/sg6q-4r79 2021 publication International DOI Foundation (IDF) https://doi.org/10.25923/sg6q-4r79 https://doi.org/10.25923/sg6q-4r79 HTTPS https://doi.org/10.25923/sg6q-4r79 NOAA technical memorandum NMFS-OHC ; 09 information Etnoyer, Peter author United States. National Marine Fisheries Service publisher documentDigital United States. National Marine Fisheries Service crossReference sciencePaper Etnoyer, P. J., Wagner, D., Fowle, H. A., Poti, M., Kinlan, B., Georgian, S. E., & Cordes, E. E. (2018). Models of habitat suitability, size, and age-class structure for the deep-sea black coral Leiopathes glaberrima in the Gulf of Mexico. Deep Sea Research Part II: Topical Studies in Oceanography, 150, 218–228. https://doi.org/10.1016/j.dsr2.2017.10.008 2018-04 publication International DOI Foundation (IDF) https://doi.org/10.1016/j.dsr2.2017.10.008 https://doi.org/10.1016/j.dsr2.2017.10.008 HTTPS https://doi.org/10.1016/j.dsr2.2017.10.008 Deep Sea Research Part II: Topical Studies in Oceanography, 150, 1-11 information Etnoyer, Peter J. author Wagner, Daniel author Fowle, Holly A. author Poti, Matthew author Kinlan, Brian author Georgian, Samuel E. author Cordes, Erik E. author Elsevier BV publisher documentDigital Deep Sea Research Part II: Topical Studies in Oceanography 150 ISSN 0967-0645, pp. 218-228 crossReference sciencePaper NOAA National Database for Deep-Sea Corals and Sponges 2023 publication https://deepseacoraldata.noaa.gov/ HTTPS NOAA National Database for Deep-Sea Corals and Sponges NOAA's Deep Sea Coral Research and Technology Program Webpage information NOAA Deep Sea Coral Research and Technology Program author NOAA Deep Sea Coral Research and Technology Program publisher documentDigital crossReference program NOAA National Geophysical Data Center. (2001). U.S. Coastal Relief Model Vol.3 - Florida and East Gulf of Mexico [Data set]. NOAA National Centers for Environmental Information. https://doi.org/10.7289/v5w66hpp 2001 publication International DOI Foundation (IDF) https://doi.org/10.7289/v5w66hpp https://doi.org/10.7289/v5w66hpp HTTPS https://doi.org/10.7289/v5w66hpp NOAA Coastal Relief Model Webpage information NOAA National Geophysical Data Center author NOAA National Centers for Environmental Information publisher tableDigital crossReference program NOAA National Geophysical Data Center. (2001). U.S. Coastal Relief Model Vol.4 - Central Gulf of Mexico [Data set]. NOAA National Centers for Environmental Information. https://doi.org/10.7289/v54q7rw0 2001 publication International DOI Foundation (IDF) https://doi.org/10.7289/v54q7rw0 https://doi.org/10.7289/v54q7rw0 HTTPS https://doi.org/10.7289/v54q7rw0 NOAA Coastal Relief Model Webpage information NOAA National Geophysical Data Center author NOAA National Centers for Environmental Information publisher tableDigital crossReference program NOAA National Geophysical Data Center. (2001). U.S. Coastal Relief Model Vol.5 - Western Gulf of Mexico [Data set]. NOAA National Centers for Environmental Information. https://doi.org/10.7289/v5qj7f79 2001 publication International DOI Foundation (IDF) https://doi.org/10.7289/v5qj7f79 https://doi.org/10.7289/v5qj7f79 HTTPS https://doi.org/10.7289/v5qj7f79 NOAA Coastal Relief Model Webpage information NOAA National Geophysical Data Center author NOAA National Centers for Environmental Information publisher tableDigital crossReference program General Bathymetric Chart of the Oceans (GEBCO), GEBCO_08 One Minute Grid 2008 publication https://www.bodc.ac.uk/data/open_download/gebco/GEBCO_1MIN/zip/ HTTPS General Bathymetric Chart of the Oceans (GEBCO), GEBCO_08 One Minute Grid GEBCO 2008: One Minute Grid download British Oceanographic Data Centre author British Oceanographic Data Centre publisher documentDigital crossReference program Williams, S. J., Flocks, J., Jenkins, C., Khalil, S., & Moya, J. (2012). Offshore Sediment Character and Sand Resource Assessment of the Northern Gulf of Mexico, Florida to Texas. Journal of Coastal Research, 60, 30–44. https://doi.org/10.2112/si_60_4 2012-05 publication International DOI Foundation (IDF) https://doi.org/10.2112/si_60_4 https://doi.org/10.2112/si_60_4 HTTPS https://doi.org/10.2112/si_60_4 Offshore Sediment Character and Sand Resource Assessment of the Northern Gulf of Mexico, Florida to Texas information Williams, S. Jeffress author Flocks, James author Jenkins, Chris author Khalil, Syed author Moya, Juan author Coastal Education and Research Foundation publisher documentDigital Journal of Coastal Research 60 ISSN 0749-0208, ISSN 1551-5036, pp. 30-44 crossReference sciencePaper Southeast Area Monitoring and Assessment Program (SEAMAP) 2023 publication https://www.gsmfc.org/seamap.php HTTPS Southeast Area Monitoring and Assessment Program (SEAMAP) Bottom trawl and CTD cast data download Southeast Area Monitoring and Assessment Program (SEAMAP) author Southeast Area Monitoring and Assessment Program (SEAMAP) publisher documentDigital crossReference program Ocean station data (OSD) and CTD cast data 2009 publication https://www.ncei.noaa.gov/access/world-ocean-database-select/dbsearch.html HTTPS Ocean station data (OSD) and CTD cast data NCEI WOD Product Webpage download National Centers for Environmental Information author National Centers for Environmental Information publisher documentDigital crossReference program Monthly composite sea surface chlorophyll-a concentration 2023 publication https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMGchlamday.html HTTPS Monthly composite sea surface chlorophyll-a concentration ERDDAP Download Access Webpage download NOAA CoastWatch author NOAA CoastWatch publisher documentDigital crossReference program Monthly composite water-leaving radiance at 667nm 2023 publication https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdMGr667mday.html HTTPS Monthly composite water-leaving radiance at 667nm ERDDAP Download Access Webpage download NOAA CoastWatch author NOAA CoastWatch publisher documentDigital crossReference program Southeast Deep Coral Initiative (SEDCI): Exploring Deep-Sea Coral Ecosystems off the Southeast U.S. 2016 publication https://coastalscience.noaa.gov/project/southeast-deep-coral-initiative-sedci-exploring-deep-sea-coral-ecosystems-off-the-southeast-u-s/ HTTPS https://coastalscience.noaa.gov/project/southeast-deep-coral-initiative-sedci-exploring-deep-sea-coral-ecosystems-off-the-southeast-u-s/ National Centers for Coastal Ocean Science (NCCOS) project page information NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information publisher documentDigital crossReference project Deep Coral Predictive Habitat Modeling in the U.S. Atlantic and Gulf of Mexico: Focusing on Uncharted Deep-Sea Corals 2011 publication https://coastalscience.noaa.gov/project/deep-coral-habitat-modeling-atlantic-gulf-mexico/ HTTPS https://coastalscience.noaa.gov/project/deep-coral-habitat-modeling-atlantic-gulf-mexico/ National Centers for Coastal Ocean Science (NCCOS) project page information NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information publisher documentDigital crossReference project eng; USA utf8 environment oceans biota -97.25861 -80.19056 24.0825 29.90528 2016-01-17 2017-09-30 Methods: Habitat suitability for Leiopathes glaberrima in the U.S. Gulf of Mexico was modeled using a Maximum Entropy (MaxEnt) modeling framework. Models used the values of spatially explicit environmental predictor variables describing conditions that may influence the distribution of Leiopathes glaberrima at locations where Leiopathes glaberrima was observed to estimate the relationships between these environmental conditions and the presence of Leiopathes glaberrima. These relationships were then used to predict and map habitat suitability for Leiopathes glaberrima across the U.S. Gulf of Mexico. Records of Leiopathes glaberrima occurrence in the U.S. Gulf of Mexico were obtained from the NOAA National Database for Deep-Sea Corals and Sponges (https://deepseacoraldata.noaa.gov/). Data records with identifiable positional errors were removed following quality control. Environmental predictor variables included measures of seafloor topography derived from depth data, seafloor substrate derived from surficial sediment survey data, and physical and biological oceanography derived from in situ data and remotely sensed data. A stepwise model selection procedure was used to select a best model that balanced predictive performance with model complexity. At each step a model was fit and predictive performance and complexity were calculated. The area under the receiver operating characteristic curve (AUC) was calculated using data withheld from model fitting in order to assess model performance. Model complexity was assessed using Akaike’s information criterion corrected for small sample size (AICc). The least important environmental predictor variable was identified and removed prior to the next step of model fitting using a jackknife test that determined which predictor variable resulted in the smallest reduction in AUC when omitted from the model. Following the stepwise procedure, the models were ranked in terms of AUC (highest AUC = best performing model) and AICc (lowest AICc = least complex model) and the best model was selected based on these rankings. To allow direct comparisons to predictions of habitat suitability for other deep-sea coral taxa, the relative habitat suitability (i.e., the logistic output from MaxEnt) was reclassified into a series of habitat suitability classes using breakpoints calculated using specific ratios of the cost of false positive errors versus the cost of false negative errors. Essentially, the higher the habitat suitability class the greater the penalty for overpredicting the area considered to be suitable habitat. An additional robust very high habitat suitability class was assigned to model grid cells predicted to be in the highest class of habitat suitability for each of the replicate model runs of the best model. For additional details, see Etnoyer et al. (2018). File Information:Total File Size: 34.2 MB total, 15 files in 1 folder (unzipped), 18.3 MB (zipped) Data File Format(s): Geotiff .TIF (and ancillary files .TFW, .CPG, .DBF) Data File Compression: zip Data File Resolution: 370.65 x 370.65 meters #GIS Projection: WGS 84 UTM Zone 15N Data Files: Leiopathes_Classified_Predicted_Habitat_Suitability Leiopathes_Classified_Predicted_Habitat_Suitability_Variability Leiopathes_Predicted_Habitat_Suitability Leiopathes_Robust_Very_High_Predicted_Habitat_Suitability Documentation Files: Leiopathes_model_output.JPG DataDocumentation.PDF NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov pointOfContact In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media. Contact NCEI for other distribution options and instructions. GeoTIFF PDF 21.34 https://doi.org/10.25921/cn6a-6g06 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/276866 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/276866 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0211/0276866/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0276866 v1.1 was published. 2023-03-13T17:02:41Z NCEI Accession 0276866 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0276866/1.1 HTTPS NCEI Accession 0276866 v1.1 published 2023-03-13T17:02:41Z download model Parameter or Variable: Habitat Suitability (calculated); Units: none; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Records of Leiopathes glaberrima occurrence in the U.S. Gulf of Mexico were obtained from the NOAA National Database for Deep-Sea Corals and Sponges (https://deepseacoraldata.noaa.gov/). Data records with identifiable positional errors were removed following quality control. Maximum Entropy (MaxEnt) models were generated to relate the occurrence of Leiopathes glaberrima to spatially explicit environmental predictor variables describing conditions that may influence the distribution of Leiopathes glaberrima. Models were then used to predict and map the relative habitat suitability (i.e., the logistic output from MaxEnt) of Leiopathes glaberrima across the U.S. Gulf of Mexico. The relative habitat suitability was reclassified into a series of habitat suitability classes using breakpoints calculated using specific ratios of the cost of false positive errors versus the cost of false negative errors. For more details, see Etnoyer et al. (2018).; Data Quality Method: Replicate models were fit to 10 subsets of the occurrence data, each containing 70% of the data to use for model fitting and 30% of the data to use for model testing. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), which indicates how well the models predicted Leiopathes glaberrima occurrence at test data locations compared to a random selection of background locations. The AUC was calculated for each of the ten replicate models and averaged (i.e., the mean test AUC). Variability (i.e., uncertainty) in model predictions was calculated as the difference in the predicted habitat suitability classes assigned to the upper and lower limits of the 95% confidence interval of the predicted habitat suitability from the 10 replicate models. An additional robust very high habitat suitability class was assigned to model grid cells predicted to be in the highest class of habitat suitability for each of the replicate model runs. For more details, see Etnoyer et al. (2018). asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. 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