gov.noaa.nodc:0226141 eng utf8 dataset 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 2026-02-05T19:09:40Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Predicted distribution of federally managed fish in the Gulf of Mexico and South Atlantic from 2003-01-01 to 2017-12-31 (NCEI Accession 0226141) 2021-03-12 publication 2021-03-04 creation International DOI Foundation (IDF) 10.25921/gezk-2t14 NOAA National Centers for Environmental Information gov.noaa.nodc:0226141 NCEI Archive Management System 0226141 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 J. Christopher Taylor NOAA National Centers for Coastal Ocean Science (NCCOS) chris.taylor@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information principalInvestigator J. Christopher Taylor NOAA National Centers for Coastal Ocean Science (NCCOS) chris.taylor@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Brad Pickens NOAA National Centers for Coastal Ocean Science (NCCOS) brad.pickens@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 Deena Hansen Bureau of Ocean Energy Management (BOEM) deena.hansen@boem.gov http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information collaborator Lora Turner Bureau of Ocean Energy Management (BOEM) lora.turner@boem.gov http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information collaborator Mark Finkbeiner NOAA Office for Coastal Management (OCM) mark.finkbeiner@noaa.gov https://coast.noaa.gov/ HTTPS NOAA Office for Coastal Management (OCM) website Institution web page information collaborator Pickens, Bradley 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 Taylor, J. Christopher NOAA National Centers for Coastal Ocean Science chris.taylor@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Bureau of Ocean Energy Management (BOEM) http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information contributor NOAA Office for Coastal Management (OCM) https://coast.noaa.gov/ HTTPS NOAA Office for Coastal Management (OCM) website Institution web page information contributor tableDigital Raster data are derived from species distribution models, which are based on statistical species-habitat relationships (Guisan and Zimmermann 2000; Robinson et al. 2011). For Gulf of Mexico species, these data represent either probability of occurrence (pink shrimp Farfantepenaeus duorarum, red snapper Lutjanus campechanus age-1, lane snapper Lutjanus synagris age-0, lane snapper age-1, spinner shark Carcharhinus brevipinna, blacktip shark Carcharhinus limbatus) or relative abundance (brown shrimp Farfantepenaeus aztecus, white shrimp Litopenaeus setiferus, red snapper age-0, Atlantic sharpnose shark Rhizoprionodon terraenovae) given a standardized survey. For South Atlantic species, these data represent probability of occurrence for red snapper (adults), black sea bass Centropristis striata (juvenile and adults), blacknose shark Carcharhinus acronotus, sandbar shark Carcharhinus plumbeus, and tiger shark Galeocerdo cuvier given a standardized survey. Shark predictions of relative abundance are in units of individuals per 100 hooks per hour of bottom longline survey. Shrimp and red snapper age-0 relative abundance predictions are in units of individuals per kilometer of trawl survey. Shark distributions are representative of spring, summer, and fall seasons combined. Other species are depicted in either summer, fall, or summer and fall seasons combined. Further details are available in Pickens and Taylor (2020). The data were developed to advance ocean planning and environmental assessment of sand dredging. This dataset was part of a larger project focused on sand shoals, marine fish distribution and habitat use: Regional essential fish habitat geospatial assessment and framework for offshore sand features. The NOAA's NCCOS, Office for Coastal Management, and the Bureau of Ocean Energy Management worked together on this project. Funding Agency: NOAA National Centers for Coastal Ocean Science Funding Agency: US DOI; Bureau of Ocean Energy Management 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:0226141 Preview graphic PNG 0226141 NCEI ACCESSION NUMBER 2021-01-07 publication CRUSTACEANS Fish theme NODC DATA TYPES THESAURUS GIS product model output theme NODC OBSERVATION TYPES THESAURUS Bureau of Ocean Energy Management NOAA Office for Coastal Management dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS Gulf of Mexico North Atlantic Ocean 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 DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce DOI/BOEM 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 NCCOS Project: Regional essential fish habitat geospatial assessment and framework for offshore sand features project NCCOS Project Names EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > ARTHROPODS > CRUSTACEANS EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH 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 Marine Spatial Ecology > Habitat Mapping theme NCCOS Research Areas Derived Data Product Geospatial Model theme NCCOS Research Data Types Atlantic sharpnose shark (Rhizoprionodon terraenovae) Black sea bass (Centropristis striata) Blacknose shark (Carcharhinus acronotus) Blacktip shark (Carcharhinus limbatus) Brown shrimp (Farfantepenaeus aztecus) Lane snapper (Lutjanus synagrisage) Pink shrimp (Farfantepenaeus duorarum) Predicted Occurrence Red snapper (Lutjanus campechanus) Sandbar shark (Carcharhinus plumbeus) Species Models Spinner shark (Carcharhinus brevipinna) Tiger shark (Galeocerdo cuviergiven) White shrimp (Litopenaeus setiferus) 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 Waterbodies > Gulf of Mexico place NCCOS Regions of Study East Coast place Provider Place Names L816UX Send2NCEI Submission Package ID accessLevel: public otherRestrictions Cite as: Pickens, Bradley; Taylor, J. Christopher (2021). Predicted distribution of federally managed fish in the Gulf of Mexico and South Atlantic from 2003-01-01 to 2017-12-31 (NCEI Accession 0226141). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/gezk-2t14. 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. A Geospatial Assessment of U.S. Atlantic and Gulf of Mexico Essential Fish Habitat in Relation to Offshore Sand Features 2017 publication https://coastalscience.noaa.gov/project/geospatial-assessment-u-s-atlantic-gulf-mexico-essential-fish-habitat-relation-offshore-sand-features/ HTTPS https://coastalscience.noaa.gov/project/geospatial-assessment-u-s-atlantic-gulf-mexico-essential-fish-habitat-relation-offshore-sand-features/ 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 Pickens, B. A., & Taylor, J. C. (2020). Regional Essential Fish Habitat Geospatial Assessment and Framework for Offshore Sand Features . United States. Department of the Interior; National Centers for Coastal Ocean Science (U.S.). https://doi.org/10.25923/akzd-8556 2020 publication International DOI Foundation (IDF) https://doi.org/10.25923/akzd-8556 https://doi.org/10.25923/akzd-8556 HTTPS https://doi.org/10.25923/akzd-8556 NCCOS Technical Memorandum 270 information Pickens, Bradley A. author Taylor, J. Christopher author United States. Department of the Interior; National Centers for Coastal Ocean Science (U.S.) publisher documentDigital United States. Department of the Interior; National Centers for Coastal Ocean Science (U.S.) crossReference SEAMAP trawl surveys in Gulf of Mexico Bottom longline surveys from the National MarineFisheries Service, Southeast Fisheries Science Center, Mississippi Laboratories in Gulf of Mexico and South Atlantic publication crossReference Congressional Supplemental Sampling Program in Gulf of Mexico publication crossReference Southeast Reef Fish Survey (SERFS) video surveys (South Atlantic) publication crossReference SEAMAP longline (SouthAtlantic) publication crossReference SEAMAP trap surveys (South Atlantic) publication crossReference Pickens, Bradley; Taylor, J. Christopher; Finkbeiner, Mark; Hansen, Deena; Turner, Lora (2020). NCCOS Assessment: Modeled Distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast (NCEI Accession 0221906). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/ahnd-kg15. 2020-11-18 publication International DOI Foundation (IDF) https://doi.org/10.25921/ahnd-kg15 NOAA National Centers for Environmental Information gov.noaa.nodc:0221906 https://doi.org/10.25921/ahnd-kg15 HTTPS https://doi.org/10.25921/ahnd-kg15 Associated Dataset information Pickens, Bradley 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 Taylor, J. Christopher NOAA National Centers for Coastal Ocean Science chris.taylor@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Finkbeiner, Mark NOAA Office for Coastal Management (OCM) https://coast.noaa.gov/ HTTPS NOAA Office for Coastal Management (OCM) website Institution web page information author Hansen, Deena Bureau of Ocean Energy Management (BOEM) http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information author Turner, Lora Bureau of Ocean Energy Management (BOEM) http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information author NOAA National Centers for Environmental Information (NCEI) publisher tableDigital crossReference collection Robinson, L. M., Elith, J., Hobday, A. J., Pearson, R. G., Kendall, B. E., Possingham, H. P., & Richardson, A. J. (2011). Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities. Global Ecology and Biogeography, 20(6), 789–802. https://doi.org/10.1111/j.1466-8238.2010.00636.x 2011-02-23 publication International DOI Foundation (IDF) https://doi.org/10.1111/j.1466-8238.2010.00636.x https://doi.org/10.1111/j.1466-8238.2010.00636.x HTTPS https://doi.org/10.1111/j.1466-8238.2010.00636.x Cited Publication information Robinson, L. M. author Elith, J. author Hobday, A. J. author Pearson, R. G. author Kendall, B. E. author Possingham, H. P. author Richardson, A. J. author Wiley publisher documentDigital Global Ecology and Biogeography 20(6) ISSN 1466-822X, pp. 789-802 crossReference sciencePaper Guisan, A., & Zimmermann, N. E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135(2–3), 147–186. https://doi.org/10.1016/s0304-3800(00)00354-9 2000-12 publication International DOI Foundation (IDF) https://doi.org/10.1016/s0304-3800(00)00354-9 https://doi.org/10.1016/s0304-3800(00)00354-9 HTTPS https://doi.org/10.1016/s0304-3800(00)00354-9 Cited Publication information Guisan, Antoine author Zimmermann, Niklaus E. author Elsevier BV publisher documentDigital Ecological Modelling 135(2-3) ISSN 0304-3800, pp. 147-186 crossReference sciencePaper eng; USA utf8 environment oceans imageryBaseMapsEarthCover biota -97.5 -69.2 24.2 44.8 2003-01-01 2017-12-31 The various Gulf of Mexico and South Atlantic species distribution models depict either probability of presence or relative abundance (i.e., catch per unit effort) given a standardized survey. Predictive species distribution models were created by NOAA/NCCOS in coordination with the Bureau of Ocean Energy Management as source information for planning and environmental assessments. Methods: Raster data are derived from species distribution models, which are based on statistical species-habitat relationships (Guisan and Zimmermann 2000; Robinson et al. 2011). All species distribution models were developed based on fishery-independent survey data from 2003-2017 combined with remote sensing data on oceanographic conditions, substrate, geography, prey species, and the surrounding ecosystems of wetlands and estuaries (see Pickens and Taylor 2020 for predictor variable descriptions, modeling details, and results). All predictive models were assessed with independent validation data with accuracy measures reported in Pickens and Taylor (2020). The extent of analysis includes U.S. federal waters seaward of the U.S. Submerged Lands Act Boundary to a maximum depth of 50 m in the Gulf of Mexico and U.S. Atlantic Ocean. 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. Geodatabase .gdb and ancillary files: .atx, .freelist, .gbdindexes, .gbdtable, horzion, .spx GeoTIFF .tif and ancillary files: .tfw, .xml, .ovr Symbology Layer (.lyr) PDF JPEG 5271.112 https://doi.org/10.25921/gezk-2t14 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/226141 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/226141 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0172/0226141/ 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 0226141 v1.1 was published. 2021-03-12T22:46:21Z NCEI Accession 0226141 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0226141/1.1 HTTPS NCEI Accession 0226141 v1.1 published 2021-03-12T22:46:21Z download dataset Parameter or Variable: Predicted Occurrence (calculated); Units: Varies; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Fish sampling was conducted by a variety of organizations, as noted under Data Sources. Data were statistically analyzed with boosted regression trees, and the models were projected to the entire study area. For Gulf of Mexico species, these data represent either probability of occurrence (pink shrimp Farfantepenaeus duorarum, red snapper Lutjanus campechanus age-1,lane snapper Lutjanus synagris age-0, lane snapper age-1, spinner shark Carcharhinus brevipinna, blacktip shark Carcharhinus limbatus) or relative abundance (brown shrimp Farfantepenaeus aztecus, white shrimp Litopenaeus setiferus, red snapper age-0, Atlantic sharpnose shark Rhizoprionodon terraenovae) given a standardized survey. For South Atlantic species, these data represent probability of occurrence for red snapper (adults), black sea bass Centropristis striata (juvenile and adults), blacknose shark Carcharhinus acronotus, sandbar shark Carcharhinus plumbeus, and tiger shark Galeocerdo cuvier given a standardized survey. Shark predictions of relative abundance are in units of individuals per 100 hooks per hour of bottom longline survey. Shrimp and red snapper age-0 relative abundance predictions are in units of individuals per kilometer of trawl survey.; Data Quality Method: Validation accuracy measures are provided in Pickens and Taylor (2020) for each species. asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian