Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group contains several layers which are expected to provide additional support for survey area prioritization decision making. The group includes information on:</SPAN></P><P><SPAN>Sediment contamination</SPAN></P><P><SPAN>Subsurface Oil Plume </SPAN></P><P><SPAN>Modeled Contamination Distribution</SPAN></P><P><SPAN>& the</SPAN></P><P><SPAN>Flower Garden Banks National Marine Sanctuary</SPAN></P></DIV></DIV>
Name: Flower Garden Bank National Marine Sanctuary
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P /><P STYLE="margin:0 38 31 0;"><SPAN /><SPAN /><SPAN><SPAN>NOAA's Office of National Marine Sanctuaries (ONMS) oversees a system of sanctuaries and other managed areas around the country. The legal boundaries of these sanctuaries are defined within the Code of Federal Regulations, at 15 C.F.R. Part 922 and the subparts for each national marine sanctuary. The GIS compatible digital boundary files for each national marine sanctuary are representations of those legal boundaries and are based on the best available data. These files are available for public use at locations defined in this metadata record. </SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Office of National Marine Sanctuaries
National Ocean Service
National Oceanic and Atmospheric Administration
U.S. Department of Commerce
Color:
[0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: bottom Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is the ground-truthing component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The ground-truthing datasets collected for this inventory are represented in four subgroups, biological collections, geologic collections, submersible surveys, and bottom-video sites.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center (SEFSC)
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers contains ground-truthing data associated with biological collections using multiple methods from 1980 to present in the northern Gulf of Mexico (GoM).</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center (SEFSC)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the Deep Sea Coral Research and Technology Program’s (DSCRTP) Cnidaria (coral) and Porifera (sponge) collections. These data were queried to specifically show those Cnidaria and Porifera collected in the northern GoM from 1980 to 2020. Further information associated with these biological samples collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: GTR000001
NOAA National Database for Deep-Sea Corals and Sponges (version v20210414 -0). https://deepseacoraldata.noaa.gov/; NOAA Deep Sea Coral Research & Technology Program.
GTR000004
NOAA National Database for Deep-Sea Corals and Sponges (version v20210414-0). https://deepseacoraldata.noaa.gov/; NOAA Deep Sea Coral Research & Technology Program.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the biological sample collection sites during the RESTORE 2018 research cruise. Further information associated with the biological samples collected during this cruise can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Herrera S. (2018) ROV dive tracks from the project "Population Connectivity of Deepwater Corals in the Northern Gulf of Mexico". National Oceanic and Atmospheric Administration’s RESTORE Science Program award NA17NOS4510096 to Lehigh University.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the biological sample collection sites during the RESTORE 2017 research cruise. Further information associated with the biological samples collected during this cruise can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Herrera S. (2018) ROV dive tracks from the project "Population Connectivity of Deepwater Corals in the Northern Gulf of Mexico". National Oceanic and Atmospheric Administration’s RESTORE Science Program award NA17NOS4510096 to Lehigh University.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where biological samples were collected during the Lophelia II 2009 research cruise provided by USGS. Further information associated with the biological samples collected during this cruise can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Demopoulos, A.W.J., Ross, S.W., Kellogg, C.A., Morrison, C.L., Nizinski, M., Prouty, N.G., Bourque, J.R., Galkiewicz, J.P., Gray, M.A., Springmann, M.J., Coykendall, D.K., Miller, A., Rhode, M., Quattrini, A., Ames, C.L., Brooke, S., McClain-Counts, J., Roark, E.B., Buster, N.A., Phillips, R.M., and Frometa, J., 2017, Deepwater Program: Lophelia II, continuing ecological research on deep-sea corals and deep-reef habitats in the Gulf of Mexico: U.S. Geological Survey Open-File Report 2017–1139, 269 p., https://doi.org/10.3133/ofr20171139.
Name: CSA Int. Inc. Lophelia I Cruise Collections (2004-05)
Display Field: Sample
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where biological samples were collected during the Lophelia I 2004 and 2005 research cruises provided by CSA International Inc.. Further information associated with the biological samples collected during these cruises can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CSA International, Inc. 2007. Characterization of northern Gulf of Mexico deepwater hard bottom communities with emphasis on Lophelia coral. U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA. OCS Study MMS 2007-044. 169 pp. + app.
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where biological samples were collected during the Lophelia I 2004 and 2005 research cruises provided by USGS. Further information associated with the biological samples collected during these cruises can be found in the attribute table.</SPAN></P></DIV></DIV>
Copyright Text: Characterization of Northern Gulf of Mexico Deepwater Hard Bottom Communities with Emphasis on Lophelia Coral - Lophelia Reef Megafaunal Community Structure, Biotopes, Genetics, Microbial Ecology, and Geology. K. J. Sulak, M. T. Randall, K. E. Luke, A. D. Norem, and J. M. Miller (Eds.). USGS Open-File Report 2008-1148; OCS Study MMS 2008-015, 15 April 2008, 8 Chapters, pp., 8 Master Appendices (incl.Interactive Dive Track DVD).
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where biological samples were collected during the GoM Deep Sea 2003 research cruise. Further information associated with the biological samples collected during this cruise can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: NOAA Corps (2010). Underway video and biological samples data collected aboard NOAA Ship RONALD H. BROWN in the Northern Gulf of Mexico (NCEI Accession 0001311). Biological samples collected. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0001311. 2021-06-29.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the Smithsonian National Museum of Natural History’s Invertebrate Zoology collection. These data were queried to specifically show those invertebrates collected in the northern GoM from 1980 to 2020. Further information associated with the biological samples collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Information provided with the permission of the National Museum of Natural History, Smithsonian Institution, 10th and Constitution Ave. N.W., Washington, DC 20560-0193. (https://collections.nmnh.si.edu/)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where biological samples were collected during the Florida Shelf-edge Expedition (FLoSEE) 2010 and Deep Sea Medicines (DSM) 2003 research cruises using various methodologies. Further information associated with the biological samples collected during these cruises can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: FLoSEE 2010 Credit:
NOAA Ocean Exploration (2017). Oceanographic Data collected during the Florida Shelf Edge Expedition (FLoSEE) (CIOERT2010) on RV Seward Johnson in the Gulf of Mexico and North Atlantic Ocean between July 9, 2010 - August 9, 2010 (NCEI Accession 0074541). Leg 2, Leg 3, and Medical Leg Biological Samples. NOAA National Centers for Environmental Information. Unpublished Dataset. https://www.ncei.noaa.gov/archive/accession/0074541. 2021-06-29
Deep Sea Medicines 2003 Credit:
NOAA Ocean Exploration (2011). Oceanographic data collected during the Deep Sea Medicines (Bioprospecting) 2003 expedition aboard NOAA Ship RONALD H. BROWN in the Gulf of Mexico from 2003-09-09 to 2003-09-19 (NCEI Accession 0001721). Biological Samples collected. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0001721. 2021-06-29.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers contains ground-truthing data associated with geological collections using multiple methods from 1980 to present in the northern Gulf of Mexico (GoM).</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center (SEFSC)
Name: Sediment Cores collected Post DWH Oil Spill (2010)
Display Field: Station
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where sediment cores were collected to estimate the benthic footprint of the Deepwater Horizon (DWH) oil spill. Further information associated with the sediment cores collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Paul Montagna. 2020. Benthic footprint of the Deepwater Horizon oil spill data analyzed from sediment cores collected aboard R/V Ocean Veritas and R/V Gyre cruises in the northern Gulf of Mexico from 2010-09-16 to 2010-10-22. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/FDKAJKNF
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where sediment cores were collected to analyze PAH44, TPH, and BA content within them to determine how the Deepwater Horizon oil contamination progressed over time. Further information associated with the sediment cores collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Paul Montagna. 2017. Temporal analysis of NRDA sediment chemistry data, northern Gulf of Mexico, 2010, 2011, and 2014. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7GQ6VSX
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where sediment cores were collected to analyze Pb-210 levels temporally after the Deepwater Horizon (DWH) oil spill. Further information associated with the sediment cores collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Schwing, Patrick. 2017. Northern Gulf of Mexico Pb-210 Inventories, 2010-2013. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N73N21FW
Name: USGS Lophelia II Geologic Collections (2008-10)
Display Field: Site
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where geological samples were collected during the Lophelia II research cruises from 2008 to 2010. Further information associated with these geological samples collected can be found in the attribute table. This information was provided by USGS scientists.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Demopoulos, A.W.J., Ross, S.W., Kellogg, C.A., Morrison, C.L., Nizinski, M., Prouty, N.G., Bourque, J.R., Galkiewicz, J.P., Gray, M.A., Springmann, M.J., Coykendall, D.K., Miller, A., Rhode, M., Quattrini, A., Ames, C.L., Brooke, S., McClain-Counts, J., Roark, E.B., Buster, N.A., Phillips, R.M., and Frometa, J., 2017, Deepwater Program: Lophelia II, continuing ecological research on deep-sea corals and deep-reef habitats in the Gulf of Mexico: U.S. Geological Survey Open-File Report 2017–1139, 269 p., https://doi.org/10.3133/ofr20171139.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the USGS, Woods Hole Science Center (WHSC) geological sample collections and where they were collected. Further information associated with these samples collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Buczkowski, B.J., 2018, Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository: U.S. Geological Survey Open-File Report 2018–1100, 12 p., https://doi.org/10.3133/ofr20181100. [Supersedes USGS Open-File Report 2006–1187.]
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where sediment cores took place during the Deep Slope 2007 research cruise. Further information associated with the sediment cores collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Fisher, Charles; Penn State University (PSU) (2019). Oceanographic data collected during the Expedition to the Deep Slope 2007 aboard NOAA Ship Ronald H. Brown in Northern Gulf of Mexico Continental Slope from 2007-06-03 to 2007-07-06 (NCEI Accession 0053265). Sediment core information. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0053265. 2021-06-28.
Name: CSA Int. Inc. Lophelia I Sediment Cores (2004-05)
Display Field: Study_Site
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites where sediment cores took place during the Lophelia I research cruises in 2004 and 2005. Further information associated with the sediment cores collected can be found in the attribute table. This information was provided by CSA International Inc. scientists.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CSA International, Inc. 2007. Characterization of northern Gulf of Mexico deepwater hard bottom communities with emphasis on Lophelia coral. U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA. OCS Study MMS 2007-044. 169 pp. + app.
Name: usSEABED MDBC MGM Query, Parsed (written descriptions of samples)
Display Field: Latitude
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays usSEABED, a collaborative product created by USGS, University of Colorado, and other partners created to represent georeferenced sediment samples collected in U.S. waters. These data were queried to specifically show those sediment samples collected in the northern GoM from 1980 to 2004.</SPAN></P><P><SPAN STYLE="font-size:12pt">This sublayer displays sediment sample information derived from written descriptions from cores, grabs, photographs, and videos. Further information associated with these samples collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Buczkowski, B.J., Reid, J.A., Schweitzer, P.N., Cross, V.A., and Jenkins, C.J., 2020, usSEABED—Offshore surficial-sediment database for samples collected within the United States Exclusive Economic Zone: U.S. Geological Survey data release, https://doi.org/10.5066/P9H3LGWM.
Name: usSEABED MDBC MGM Query, Facies (components, genesis, and other info from Parsed)
Display Field: Latitude
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This sublayer displays sediment sample information about components, genesis, and other information about the seafloor parsed from written descriptions of cores, grabs, photographs, and videos. Further information associated with these samples collected can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Buczkowski, B.J., Reid, J.A., Schweitzer, P.N., Cross, V.A., and Jenkins, C.J., 2020, usSEABED—Offshore surficial-sediment database for samples collected within the United States Exclusive Economic Zone: U.S. Geological Survey data release, https://doi.org/10.5066/P9H3LGWM.
Name: usSEABED MDBC MGM Query, Extracted (quantitative/analyses of samples)
Display Field: Latitude
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN STYLE="font-size:12pt">This sublayer displays sediment sample data derived from quantitative observations and analyses of samples. Further information associated with these samples collected can be found in the attribute table.</SPAN></P></DIV></DIV>
Copyright Text: Buczkowski, B.J., Reid, J.A., Schweitzer, P.N., Cross, V.A., and Jenkins, C.J., 2020, usSEABED—Offshore surficial-sediment database for samples collected within the United States Exclusive Economic Zone: U.S. Geological Survey data release, https://doi.org/10.5066/P9H3LGWM.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>This group of layers contains ground-truthing surveys using drop cameras or submersible vehicles, all of which are represented as points. These surveys were completed from 1980 to present in the northern Gulf of Mexico (GoM).</SPAN></P></DIV></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center (SEFSC)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the Woods Hole Oceanographic Institute National Deep Submergence Facility submersible dive sites occurring in the northern GoM from 1990 to 2015. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Marine Geoscience Data System (MGDS, www.marine-geo.org)
Point of Contact: Vicki Ferrini (ferrini@ldeo.columbia.edu)
Carbotte, S.M., R. Arko, D.N. Chayes, W. Haxby, K. Lehnert, S. O'Hara, W.B.F. Ryan, R.A. Weissel, T. Shipley, L. Gahagan, K. Johnson, T. Shank (2004), New Integrated Data Management System for Ridge2000 and MARGINS Research, Eos Trans. AGU, 85(51), 553, doi:10.1029/2004EO510002.
Name: FWC-FWRI-FIM Reeffish Long-term Video Sites (2010-19)
Display Field: SeriesID
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of submerged-baited remote underwater video (S-BRUV) arrays as a part of the SEAMAP Reef Fish long-term survey conducted by the Fisheries Independent Monitoring (FIM) program. Further information associated with these deployments can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Florida Fish and Wildlife Conservation Commission (FWC), Florida Fish and Wildlife Research Institute (FWRI), Fisheries Independent Monitoring Program (FIM)
POC: Dr. Theodore Switzer, ted.switzer@myfwc.com, 727-896-8626
https://myfwc.com/research/saltwater/reef-fish/monitoring/program/
Name: NOAA Reef Fish Long-term Video Sites (2013-17)
Display Field: REEF_NAME
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of underwater camera arrays from the long-term NOAA Reef Fish Video survey. Further information associated with these deployments can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: "National Oceanographic and Atmospheric Association (NOAA) - National Marine Fisheries Service (NMFS) - Southeast Fisheries Science Center (SEFSC) - Panama City Laboratory (PCL) - Reef Fish Survey (RFS)
POC: Kate Overly; katherine.overly@noaa.gov"
Name: NOAA SEAMAP Long-term Video Sites (1996-2017)
Display Field: reefname
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of underwater camera arrays from the long-term Southeast Area Monitoring and Assessment Program (SEAMAP) Reef Fish Video survey. These were completed using various methodologies and vessels over time. Further information associated with these deployments can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Campbell, M.D., Pollack, A.G., Thompson, K. et al. Rapid spatial expansion and population increase of invasive lionfish (Pterois spp.) observed on natural habitats in the northern Gulf of Mexico. Biol Invasions (2021). https://doi.org/10.1007/s10530-021-02625-1
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of underwater camera arrays for the northeastern GoM Marine Protected Areas (MPA) long-term surveys. These were completed using various methodologies and vessels over time. Further information associated with these deployments can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: C.T. Gledhill, W. Ingram, Jr., K.R. Rademacher, P. Felts, and B. Trigg. 2006. NOAA Fisheries Reef Fish Video Surveys: Yearly indices of abundance for Gag. SEDAR10-DW-12. SEDAR, North Charleston, SC. 28 pp.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of the AUV Sentry during the 2009 Lophelia II research expedition. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Demopoulos, A.W.J., Ross, S.W., Kellogg, C.A., Morrison, C.L., Nizinski, M., Prouty, N.G., Bourque, J.R., Galkiewicz, J.P., Gray, M.A., Springmann, M.J., Coykendall, D.K., Miller, A., Rhode, M., Quattrini, A., Ames, C.L., Brooke, S., McClain-Counts, J., Roark, E.B., Buster, N.A., Phillips, R.M., and Frometa, J., 2017, Deepwater Program: Lophelia II, continuing ecological research on deep-sea corals and deep-reef habitats in the Gulf of Mexico: U.S. Geological Survey Open-File Report 2017–1139, 269 p., https://doi.org/10.3133/ofr20171139.
Name: BOEM GoM Hydrocarbon Seeps SUB Sites (1988-2002)
Display Field: Dive_Site_Name
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the sites of digital videos collected during 149 submersible dives conducted by BOEM at suspected hydrocarbon seep sites in the northern GoM from 1988-2002. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Blythe, Jonathan; Bureau of Ocean Energy Management (2017). Digital video collected during 149 submersible dives by Bureau of Ocean Energy Management (BOEM) at suspected hydrocarbon seep sites in the Gulf of Mexico from 1988-07-28 to 2002-06-04.. [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/BOEM-Seeps-Video. Accessed [date].
Name: CSA Int. Inc. Lophelia I JSL-1 Sites (2004-05)
Display Field: Study_Site
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of the submersible Johnson Sea Link I during the Lophelia I 2004 and 2005 research expeditions. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV>
Copyright Text: CSA International, Inc. 2007. Characterization of northern Gulf of Mexico deepwater hard bottom communities with emphasis on Lophelia coral. U.S. Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA. OCS Study MMS 2007-044. 169 pp. + app.
Name: Islands in the Stream Cruise ROV sites (2001)
Display Field: Dive
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of the ROV DeepWorker during the 2001 Islands in the Stream research expedition. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: NOAA Ocean Exploration (2021). Oceanographic Data collected during the Islands in the Stream Expedition on NOAA Ship Gordon Gunter in the North Atlantic Ocean and the Gulf of Mexico between 2001-05-10 to 2001-10-04 (NCEI Accession 0104416). ROV DeepWorker Deployments. NOAA National Centers for Environmental Information. Unpublished Dataset. https://www.ncei.noaa.gov/archive/accession/0104416. 2021-06-22.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the deployment sites of the ROV Global Explorer during the 2015 Bioluminescence research expedition. Further information associated with each dive site can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: NOAA Ocean Exploration (2021). Oceanographic Data, Specimen Log, and Imagery collected during the Bioluminescence and Vision on the Deep-Seafloor 2015 Expedition on R/V Pelican in the Gulf of Mexico from 2015-07-14 to 2015-07-27 (NCEI Accession 0225519). ROV Global Explorer Deployments. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0225519. 2021-05-04.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers represents various ground-truthing surveys, specifically showing submersible vehicles’ tracklines and their associated data from 1980 to present in the northern Gulf of Mexico (GoM).</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS); Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center (SEFSC)
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN STYLE="font-size:12pt">This layer displays ROV Jason II tracklines completed during the Lophelia II 2010 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV>
Copyright Text: Demopoulos, A.W.J., Ross, S.W., Kellogg, C.A., Morrison, C.L., Nizinski, M., Prouty, N.G., Bourque, J.R., Galkiewicz, J.P., Gray, M.A., Springmann, M.J., Coykendall, D.K., Miller, A., Rhode, M., Quattrini, A., Ames, C.L., Brooke, S., McClain-Counts, J., Roark, E.B., Buster, N.A., Phillips, R.M., and Frometa, J., 2017, Deepwater Program: Lophelia II, continuing ecological research on deep-sea corals and deep-reef habitats in the Gulf of Mexico: U.S. Geological Survey Open-File Report 2017–1139, 269 p., https://doi.org/10.3133/ofr20171139.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the tracklines of the towed camera system C-BASS completed in the northern GoM from 2015 to 2019. This information was provided by USF C-SCAMP scientists. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Murawski, S., Lembke, C., Grasty, S., Vivlamore, A., Ilich, A. (year collected). “Georeferenced [Reef Fish Density/CMECs Habitat] based on Towed Video, [transect name].” University of South Florida, College of Marine Science. Funding by the National Fish and Wildlife Foundation (NFWF): GEBF Grant #45892.
Ilich, A.R., J.L. Brizzolara, S.E. Grasty, J.W. Gray, M. Hommeyer, C. Lembke, S. D. Locker, A. Silverman, T.S. Switzer, A. Vivlamore, S.A. Murawski. 2021. Integrating Towed Underwater Video and Multibeam Acoustics for Marine Benthic Habitat Mapping and Fish Population Estimation. Geosciences 11: 176. https://doi.org/ 10.3390/geosciences11040176
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the ROV Global Explorer tracklines from the 2019 Connectivity of Coral Ecosystems in the Northwestern Gulf of Mexico (CYCLE) research expedition. Further information associated with this survey can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Herrera S. (2021) ROV dive tracks from the project "Connectivity of Coral Ecosystems in the Northwestern Gulf of Mexico". NOAA’s National Centers for Coastal Ocean Science, Competitive Research Program and Office of Ocean Exploration and Research award NA18NOS4780166 to Lehigh University.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">These layers represent NOAA Okeanos research expeditions utilizing various submersibles in the northern GoM. Each sublayer is either a separate leg (L#), or a separate expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays a compilation of ROV surveys provided by the Flower Garden Banks National Marine Sanctuary (FGBNMS). These surveys were completed within and around the FGBNMS area for various purposes. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Flower Garden Banks National Marine Sanctuaries (FGBNMS)
Principal Investigators: Marissa Nuttall, Emma Hickerson, George Schmahl, Mary Wicksten, Julie Olson, Randy Clark, Paul Sammarco, Joshua Voss, Kelly O'Connell, John Embesi
Point of Contact: Marissa Nuttall marissa.nuttall@noaa.gov
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the submersible Johnson Sea Link (JSL) I tracklines during the Florida Shelf Edge (FLoSEE) 2010 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: NOAA Ocean Exploration (2017). Oceanographic Data collected during the Florida Shelf Edge Expedition (FLoSEE) (CIOERT2010) on RV Seward Johnson in the Gulf of Mexico and North Atlantic Ocean between July 9, 2010 - August 9, 2010 (NCEI Accession 0074541). Leg 2, Leg 3, and Medical Leg Biological Samples. NOAA National Centers for Environmental Information. Unpublished Dataset. https://www.ncei.noaa.gov/archive/accession/0074541. 2021-06-29
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays ROV Comanche tracklines completed during the RESTORE 2017 research expedition. Further information associated with this survey can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Herrera S. (2018) ROV dive tracks from the project "Population Connectivity of Deepwater Corals in the Northern Gulf of Mexico". National Oceanic and Atmospheric Administration’s RESTORE Science Program award NA17NOS4510096 to Lehigh University.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays ROV Jason II tracklines completed during the Lophelia II 2009 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Demopoulos, A.W.J., Ross, S.W., Kellogg, C.A., Morrison, C.L., Nizinski, M., Prouty, N.G., Bourque, J.R., Galkiewicz, J.P., Gray, M.A., Springmann, M.J., Coykendall, D.K., Miller, A., Rhode, M., Quattrini, A., Ames, C.L., Brooke, S., McClain-Counts, J., Roark, E.B., Buster, N.A., Phillips, R.M., and Frometa, J., 2017, Deepwater Program: Lophelia II, continuing ecological research on deep-sea corals and deep-reef habitats in the Gulf of Mexico: U.S. Geological Survey Open-File Report 2017–1139, 269 p., https://doi.org/10.3133/ofr20171139.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer is a compilation of ROV surveys completed during various research expeditions completed in the northern GoM from 2005 to 2019. These submersible tracklines were provided by the University of North Carolina-Wilmington, Undersea Vehicle Program. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: University of North Carolina - Wilmington (UNCW) Undersea Vehicle Program (UVP)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the ROV Jason II tracklines during the Deep Slope 2007 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Fisher, Charles; Penn State University (PSU) (2019). Oceanographic data collected during the Expedition to the Deep Slope 2007 aboard NOAA Ship Ronald H. Brown in Northern Gulf of Mexico Continental Slope from 2007-06-03 to 2007-07-06 (NCEI Accession 0053265). ROV Jason II tracklines. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0053265. 2021-06-28
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the HOV Alvin tracklines during the Deep Slope 2006 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: NOAA Ocean Exploration (2021). Oceanographic Data collected during the Islands in the Stream Expedition on NOAA Ship Gordon Gunter in the North Atlantic Ocean and the Gulf of Mexico between 2001-05-10 to 2001-10-04 (NCEI Accession 0104416). HOV Alvin tracklines. NOAA National Centers for Environmental Information. Unpublished Dataset. https://www.ncei.noaa.gov/archive/accession/0104416. 2021-06-22.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the submersible Johnson Sea Link (JSL) I tracklines during the Operation Deep Scope 2005 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Harbor Branch Oceanographic Institute at Florida Atlantic University (2011). Oceanographic data collected during the Operation Deep Scope 2005: Characterization of Benthic and Pelagic Ecosystems Using New Technologies expedition aboard the R/V SEWARD JOHNSON in Viosca Knoll West Margin of the De Soto Canyon from August 19, 2005 - September 4, 2005 (NCEI Accession 0054831). SUB Johnson Sea Link I tracklines. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0054831. 2021-06-28.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays the submersible Johnson Sea Link (JSL) I tracklines during the Operation Deep Scope 2004 research expedition. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Collins, Donald W; NOAA Ocean Exploration (2017). Digital video and still photographs data from NOAA Office of Ocean Exploration Operation Deep Scope cruise in the Gulf of Mexico, August 7-17, 2004 (NCEI Accession 0001966). SUB Johnson Sea Link I tracklines. NOAA National Centers for Environmental Information. Unpublished Dataset. https://www.ncei.noaa.gov/archive/accession/0001966. 2021-06-28.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">This layer displays tracklines from a research cruise completed in the northern GoM ROV surveys completed from 2001 to 2003. Further information associated with these surveys can be found in the attribute table.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Community Structure and Trophic Ecology of Demersal Fishes on the Pinnacles Reef Tract, Final Synthesis Report; 2002; Federal Government Series; BSR; 2001-0008; Weaver, Douglas C.; Dennis, George D.; Sulak, Kenneth J.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data by sensor type, data resolution, collection decade, and data source and also includes derived mapping products. </SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Each derived data product has separate credits reflecting the original source of the data.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>his group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data by sensor type.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the sensor type multibeam echosounder.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the sensor type multibeam fishery echosounder.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the sensor type side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the sensor type seismic profiler.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data by resolution. </SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution 0 m to 1 m.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution 1 m to 10 m.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution 10 m to 32 m.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution 32 m to 100 m.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution 100 m plus.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Name: Coarse Resolution (Footprints, from raw or point data)
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution coarse (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Name: Coarse Resolution (Tracklines, from raw or point data)
Display Field: NameA
Type: Feature Layer
Geometry Type: esriGeometryPolyline
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data with resolution coarse (tracklines).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data by collection decade.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 2020's (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 2010's (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 2000's (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 2000's (tracklines).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 1990's (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 1990's (tracklines).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 1980's (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected during the 1980's (tracklines).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data by the data source.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from NOAA sources.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from USGS sources (footprints).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from USGS sources (tracklines).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from academic sources.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from industry sources.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data collected from other sources.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS)
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It represents footprints of seafloor mapping data from 1980 through the present. The group specifically displays seafloor mapping data from derived mapping products.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Each derived data product has separate credits reflecting the original source of the data.
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the NOAA fishery multibeam (Pisces).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS)
Name: NOAA NMFS Panama City Side-scan Sonar (Sampled Areas)
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the NOAA NMFS Panama City side-scan sonar (sampled areas).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS)
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the BOEM high-resolution geophysical surveys.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). BOEM High-Resolution Geophysical Survey Application. https://www.boem.gov/oil-gas-energy/mapping-and-data/map-gallery/high-resolution-geophysical-survey-application
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the BOEM seismic water bottom anomalies.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). BOEM Seismic Water Bottom Anomalies Map. https://www.boem.gov/oil-gas-energy/mapping-and-data/map-gallery/seismic-water-bottom-anomalies-map-gallery
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the BOEM bathymetry grid from 3D seismic.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). BOEM Northern Gulf of Mexico Deepwater Bathymetry Grid from 3D Seismic. https://www.boem.gov/oil-gas-energy/mapping-and-data/map-gallery/boem-northern-gulf-mexico-deepwater-bathymetry-grid-3d
Name: USGS Reeftop Pinnacles (Polygons) from Multibeam Echosounder
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS Reeftop Pinnacles (polygons) from multibeam echosounder.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Nash UA and Sulak KJ (2015) GIS determination of the areal extent of off-reef, reef-derived surficial substrate within the Pinnacles polygon - Based on USGS high resolution multibeam sonar (HRMBS) acoustic backscatter data acquired in 2000. USGS Coastal Ecology and Conservation Research Group, Gainesville, FL. Internal Briefing to NRDA TWG, 15 Janu; USGS http://pubs.usgs.gov/of/2002/0006/site/arcex.html
Name: USGS Reeftop Pinnacles (Points) from Multibeam Echosounder
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS Reeftop Pinnacles (points) from multibeam echosounder.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Nash UA and Randall M (2015) GIS determination of the area of high profile (>2 m elevation) reef-top biotope within the Pinnacles polygon - And within potential oil impact zones - Based on USGS high resolution multibeam sonar (HRMBS) mapping. USGS Coastal Ecology and Conservation Research Group, Gainesville, FL. Internal Briefing to NRDA TWG, 21 April 2015, 23 pp.; USGS http://pubs.usgs.gov/of/2002/0006/site/arcex.html
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS salt diapirs from side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). USGS, Salt Diapirs in the Gulf Coast (gcdiapirg), https://www.geoplatform.gov/metadata/7e0b0729-27af-5cdd-8f73-83c3532eb83b ;
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS geomorphology from side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). USGS, Morphology of the Gulf of Mexico within GLORIA survey area (MORPHOLOGY.SHP), https://pubs.usgs.gov/of/2005/1071/data/sidescan/interpretation/gloria/morphology.zip)
Name: USGS mass wasting locations (polygons) from side-scan sonar
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS mass wasting locations (polygons) from side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). USGS, Mass-wasting deposits within the GLORIA survey area, Gulf of Mexico (MASSWASTING.SHP), https://pubs.usgs.gov/of/2005/1071/data/sidescan/interpretation/gloria/masswasting.zip
Name: USGS hydrate locations (points) from side-scan sonar
Display Field: Name
Type: Feature Layer
Geometry Type: esriGeometryMultipoint
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS mass wasting locations (points) from side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). USGS, Seafloor or Short Core Hydrate Locations in the Gulf of Mexico (HYDRATES.SHP), http://pubs.usgs.gov/of/2005/1071/data/sidescan/interpretation/gloria/seeps.zip
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the USGS mass wasting locations (lines) from side-scan sonar.
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). USGS, Gulf of Mexico Hydrocarbon Seeps (SEEPS.SHP), http://pubs.usgs.gov/of/2005/1071/data/sidescan/interpretation/gloria/hydrates.zip
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the FWIR side-scan sonar (sampled areas).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). FWC Fish and Wildlife Research Institute
Description: This item is part of the seafloor mapping component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing footprints of seafloor mapping data from 1980 through the present. The layer specifically displays seafloor mapping data from the FWIR side-scan sonar (reef delineations).
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). FWC Fish and Wildlife Research Institute
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>This group of layers represents the predictive habitat modeling part of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory.</SPAN></P><P><SPAN>It is divided into two sections: study footprints and predictions data.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Each individual layer has separate credits reflecting the original source of the data.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are feature classes representing the footprints of predictive habitat modeling. The layers specifically display the area of predictions for modeling studies.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Each individual layer has separate credits reflecting the original source of the data.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000002 (Sterne et al. 2020). A maximum entropy and multinomial logistic regression modeling framework was applied to presence-background data to predict most likely habitat type at a spatial resolution of 10 m.
Copyright Text: Sterne TK, Retchless D, Allee R, Highfield W. 2020. Predictive modelling of mesophotic habitats in the north-western Gulf of Mexico. Aquatic Conserv.: Mar. Freshw. Ecosyst. 30:846-859.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000005 (Demopoulos et al. 2018). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 3 m.
Copyright Text: Demopoulos AWJ, Bourque JR, Durkin A, Cordes EE. 2018. The influence of seep habitats on sediment macrofaunal biodiversity and functional traits. Deep-Sea Research Part I 142:77-93.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000008 (Etnoyer et al. 2018). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Etnoyer PJ, Wagner D, Fowle HA, Poti M, Kinlan B, Georgian SE, Cordes EE. 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.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000009 (Georgian et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 5 m.
Copyright Text: Georgian SE, Shedd W, Cordes EE. 2014. High-resolution ecological niche modelling of the cold-water coral Lophelia pertusa in the Gulf of Mexico. Marine Ecology Progress Series 506:145-161.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling studies.</SPAN></P></DIV></DIV>
Copyright Text: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS). Each individual layer has separate credits reflecting the original source of the data.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.</SPAN></P></DIV></DIV>
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Antipathes Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Bathypathes Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Callogorgia Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Isididae Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Leiopathes probability of occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Lophelia Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Madrepora Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Muricea pendula Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Paragorgiidae Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Paramuricea Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Paramuricea biscaya Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Placogorgia Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Swiftia exserta Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Name: Study #1: Villogorgia Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.
Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000002 (Sterne et al. 2020). A maximum entropy and multinomial logistic regression modeling framework was applied to presence-background data to predict most likely habitat type at a spatial resolution of 10 m.</SPAN></P></DIV></DIV>
Copyright Text: Sterne TK, Retchless D, Allee R, Highfield W. 2020. Predictive modelling of mesophotic habitats in the north-western Gulf of Mexico. Aquatic Conservation: Marine and Freshwater Ecosystems 30:846-859.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000002 (Sterne et al. 2020). A maximum entropy and multinomial logistic regression modeling framework was applied to presence-background data to predict most likely habitat type at a spatial resolution of 10 m.
Copyright Text: Sterne TK, Retchless D, Allee R, Highfield W. 2020. Predictive modelling of mesophotic habitats in the north-western Gulf of Mexico. Aquatic Conserv.: Mar. Freshw. Ecosyst. 30:846-859.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.</SPAN></P></DIV></DIV>
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Name: Study #4 Hypnogorgia pendula Habitat Suitability
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Name: Study #4 Swiftia exserta Habitat Suitability
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000004 (Silva et al. 2014). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 8 m.
Copyright Text: Silva M, MacDonald IR. 2017. Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico. Marine Ecology Progress Series 583:121-136.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.</SPAN></P></DIV></DIV>
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Name: Study #7: Lophelia pertusa Habitat Suitability
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000007 (Kinlan et al. 2013). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Kinlan BP, Poti M, Etnoyer P, Siceloff L, Jenkins C, Dorfman D, Caldow C. 2013. Digital data: Predictive models of deep-sea coral habitat suitability in the U.S. Gulf of Mexico. Downloadable digital data package. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch. Released August 2013.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>This group of layers is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. The layers are rasters representing predictions from predictive habitat modeling. The layers specifically display predictions from the modeling study associated with the unique dataset identifier PHM000008 (Etnoyer et al. 2018). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.</SPAN></P></DIV></DIV>
Copyright Text: Etnoyer PJ, Wagner D, Fowle HA, Poti M, Kinlan B, Georgian SE, Cordes EE. 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.
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000008 (Etnoyer et al. 2018). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 371 m.
Copyright Text: Etnoyer PJ, Wagner D, Fowle HA, Poti M, Kinlan B, Georgian SE, Cordes EE. 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.