gov.noaa.nodc:0176682 eng utf8 model NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2026-06-30T16:42:22Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) NCCOS Assessment: Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning from 1978-2016 (NCEI Accession 0176682) 2018-11-16 publication 2018-10-10 creation International DOI Foundation (IDF) 10.25921/8eq5-q834 NOAA National Centers for Environmental Information gov.noaa.nodc:0176682 NCEI Archive Management System 0176682 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information resourceProvider Arliss Winship NOAA National Centers for Coastal Ocean Science (NCCOS) arliss.winship@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information principalInvestigator Brian P. Kinlan NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information principalInvestigator John Christensen NOAA National Centers for Coastal Ocean Science (NCCOS) john.christensen@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information principalInvestigator Arliss Winship NOAA National Centers for Coastal Ocean Science (NCCOS) arliss.winship@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Winship, Arliss J. CSS, Inc., under contract to NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Kinlan, Brian P. NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author White, Timothy P. author Leirness, Jeffery B. author Christensen, John NOAA National Centers for Coastal Ocean Science https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information contributor tableDigital This dataset provides seasonal spatial rasters of median predicted long-term (1978-2016) relative density of 47 marine bird species throughout the US Atlantic Outer Continental Shelf (OCS) and adjacent waters at a 2-km spatial resolution. Three indications of the uncertainty associated with the model predictions are also provided: 1) seasonal spatial layers indicating areas with no survey effort, 2) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its coefficient of variation (CV), and 3) seasonal spatial rasters of the precision of predicted relative density of each species characterized as its 90% confidence interval. Predicted relative density should always be considered in conjunction with these three indications of uncertainty. Suggested symbology class breaks and labels for mapping predicted relative density and its CV are also included. Finally, this dataset also includes spatial rasters of environmental predictor variables that were used in the predictive modeling. Marine birds have the potential to be affected by human activities in the ocean environment such as offshore wind energy development. This project was a partnership between the Bureau of Ocean Energy Management (BOEM) and NOAA National Centers for Coastal Ocean Science (NCCOS) through Inter-Agency Agreement Number M13PG00005 to develop maps of the spatial distributions of marine bird species in U.S. Atlantic OCS waters that can be used to inform marine spatial planning in the region and guide future data collection efforts. The analysis relied on large databases of marine bird sighting data provided by the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (USFWS) (Northwest Atlantic Seabird Catalog) and by the Canadian Wildlife Service, Environment and Climate Change Canada (CWS-ECCC) (Eastern Canada Seabirds at Sea (ECSAS) database). This project was conducted to inform BOEM’s renewable energy policy decisions in the OCS. Having the most up-to-date and comprehensive biogeographic information is an important part of BOEM’s process to identify and fill critical data gaps, and to assess the potential direct and indirect impacts of offshore renewable energy development on marine birds. Products from this assessment may also support coastal and ocean management efforts by other local, state and federal agencies working in the OCS region. Funding Agency: NOAA National Centers for Coastal Ocean Science Funding Agency: US DOI; Bureau of Ocean Energy Management completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0176682 Preview graphic PNG 0176682 NCEI ACCESSION NUMBER 2018-10-02 publication BIRDS theme NODC DATA TYPES THESAURUS model output theme NODC OBSERVATION TYPES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS Gulf of Maine Mid-Atlantic Bight North Atlantic Ocean place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian BOEM Project: Integrative Statistical Modeling And Predictive Mapping Of Seabird Distribution And Abundance On The Atlantic Outer Continental Shelf NCCOS Project: Modeling and mapping marine bird distributions on the U.S. Atlantic Outer Continental Shelf to support offshore renewable energy planning project Provider Project Names EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Marine Spatial Ecology > Ecological and Biogeographic Assessments theme NCCOS Research Areas Derived Data Product Geospatial Model theme NCCOS Research Data Types Models/Analysis > Data Analysis > Environmental Modeling Relative Density theme Provider Keywords Continent > North America > Canada Continent > North America > United States Of America > Connecticut Continent > North America > United States Of America > Delaware Continent > North America > United States Of America > Florida Continent > North America > United States Of America > Georgia Continent > North America > United States Of America > Maine Continent > North America > United States Of America > Maryland Continent > North America > United States Of America > Massachusetts Continent > North America > United States Of America > New Hampshire Continent > North America > United States Of America > New Jersey Continent > North America > United States Of America > New York Continent > North America > United States Of America > North Carolina Continent > North America > United States Of America > Rhode Island Continent > North America > United States Of America > South Carolina Continent > North America > United States Of America > Virginia OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MAINE Ocean > Atlantic Ocean place Global Change Master Directory (GCMD) Location Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Region > Atlantic Ocean Region > International place NCCOS Place Keywords U.S. States and Territories > Connecticut U.S. States and Territories > Delaware U.S. States and Territories > Florida U.S. States and Territories > Georgia U.S. States and Territories > Maine U.S. States and Territories > Maryland U.S. States and Territories > Massachusetts U.S. States and Territories > New Hampshire U.S. States and Territories > New Jersey U.S. States and Territories > New York U.S. States and Territories > North Carolina U.S. States and Territories > Rhode Island U.S. States and Territories > South Carolina U.S. States and Territories > Virginia place NCCOS Regions of Study Atlantic Ocean Continental Shelf South Atlantic Bight place Provider Place Names Earth Science Services > Models > Dynamic Vegetation/Ecosystem Models service Global Change Master Directory (GCMD) Service Keywords 2026 revision 24 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian RM4YYU Send2NCEI Submission Package ID accessLevel: public otherRestrictions Cite as: Winship, Arliss J.; Kinlan, Brian P.; White, Timothy P.; Leirness, Jeffery B.; Christensen, John (2018). NCCOS Assessment: Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning from 1978-2016 (NCEI Accession 0176682). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/8eq5-q834. Accessed [date]. Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning: Final Report 2018 publication OCS Study BOEM 2018-010 https://espis.boem.gov/final%20reports/BOEM_2018-010.pdf HTTPS OCS Study BOEM 2018-010 Journal Article information Arliss J. Winship arliss.winship@noaa.gov author Brian P. Kinlan author Timothy P. White author Christopher Liese author Jeffery B. Leirness author John Christensen john.christensen@noaa.gov author Bureau of Ocean Energy Management (BOEM) http://www.boem.gov/ HTTP Bureau of Ocean Energy Management (BOEM) website Institution web page information publisher documentDigital x+67pp crossReference sciencePaper Miller, P. I., & Christodoulou, S. (2014). Frequent locations of oceanic fronts as an indicator of pelagic diversity: Application to marine protected areas and renewables. Marine Policy, 45, 318–329. https://doi.org/10.1016/j.marpol.2013.09.009 2014-03 publication International DOI Foundation (IDF) https://doi.org/10.1016/j.marpol.2013.09.009 https://doi.org/10.1016/j.marpol.2013.09.009 HTTPS https://doi.org/10.1016/j.marpol.2013.09.009 Journal Article information Miller, Peter I. author Christodoulou, Stelios author Elsevier BV publisher documentDigital Marine Policy 45 ISSN 0308-597X, pp. 318-329 crossReference sciencePaper NOAA NCEI Multibeam Report for MGL1512 publication https://www.ngdc.noaa.gov/ships/marcus_g_langseth/MGL1512_mb.html HTTPS Multibeam Report for MGL1512 Data Source download University of New Hampshire Center for Coastal Ocean Mapping, Joint Hydrographic Center http://ccom.unh.edu/theme/law-sea/law-of-the-sea-data/atlantic HTTP website Institution web page information resourceProvider crossReference GEBCO: General Bathymetric Chart of the Oceans publication http://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_30_second_grid/ HTTP GEBCO_2014 grid version 20150318 Data Source download General Bathymetric Chart of the Oceans https://www.gebco.net/ HTTPS website Institution web page information resourceProvider crossReference GMRT: Global Multi-Resolution Topography Data Synthesis publication http://www.marine-geo.org/portals/gmrt/ HTTP Global Multi-Resolution Topography Data Synthesis Data Source download Global Multi-Resolution Topography Data Synthesis https://www.gmrt.org/ HTTPS website Institution web page information resourceProvider crossReference GSD: National Geospatial-Intelligence Agency, Prototype Global Shoreline Data publication https://dnc.nga.mil/PrototypeGSD.php HTTPS Prototype Global Shoreline Data Data Source download National Geospatial Intelligence Agency https://www.nga.mil HTTPS website Institution web page information resourceProvider crossReference HYCOM: Hybrid vertical coordinate system ocean model global reanalysis publication http://hycom.org/dataserver HTTP (GLBu0.08 grid, experiments 19.0 and 19.1), 1200 h Data Source download HYbrid Coordinate Ocean Model (HYCOM) https://hycom.org/ HTTPS website Institution web page information resourceProvider crossReference NASA MUR SST: NASA Multi-scale Ultra-high Resolution Sea Surface Temperature publication https://mur.jpl.nasa.gov/ HTTPS NASA Multi-scale Ultra-high Resolution Sea Surface Temperature Data Source download US NASA/Jet Propulsion Laboratory (JPL) resourceProvider crossReference Derived MUR SST 2018 publication https://rsg.pml.ac.uk/ HTTPS Derived MUR SST Data Source download Plymouth Marine Laboratory Remote Sensing Group resourceProvider crossReference NASA QuikSCAT: NASA Quick Scatterometer Wind Data publication https://winds.jpl.nasa.gov/ HTTPS NASA Quick Scatterometer wind data Data Source download US NASA/Jet Propulsion Laboratory (JPL) resourceProvider crossReference NASA Ocean Color: SeaWiFS, MODIS Aqua and Terra, and VIIRS publication https://oceancolor.gsfc.nasa.gov HTTPS NASA Ocean Color Data Source download US National Aeronautic and Space Administration (NASA) resourceProvider crossReference NOAA Bathymetry: NOAA National Centers for Environmental Information (NCEI), Bathymetry Data Viewer publication https://maps.ngdc.noaa.gov/viewers/bathymetry/ HTTPS NOAA Bathymetry Data Source download NOAA National Centers for Environmental Information (NCEI) resourceProvider crossReference NOAA CoastWatch: Product derived from NASA QuikSCAT SeaWinds publication https://coastwatch.noaa.gov/cwn/platforms/quikscat.html HTTPS NOAA CoastWatch Data Source download NOAA National Centers for Environmental Information (NCEI) resourceProvider crossReference NOAA CRM: NOAA NCEI, U.S. Coastal Relief Model (CRM) publication https://www.ngdc.noaa.gov/mgg/coastal/crm.html HTTPS Coastal Relief Model Data Source download NOAA National Centers for Environmental Information (NCEI) resourceProvider crossReference NOAA OER: NOAA Office of Ocean Exploration and Research (OER), NOAA Ship Okeanos Explorer publication http://oceanexplorer.noaa.gov/okeanos/welcome.html HTTP NOAA Ship Okeanos Explorer Data Source download NOAA Ocean Exploration (OER) http://oceanexplorer.noaa.gov/ HTTP NOAA Ocean Exploration (OER) website Institution web page information resourceProvider crossReference NOAA OER ACUMEN: NOAA OER, Atlantic Canyons Undersea Mapping Expeditions (ACUMEN) publication http://oceanexplorer.noaa.gov/okeanos/explorations/acumen12/summary/welcome.html HTTP Atlantic Canyons Undersea Mapping Expeditions (ACUMEN) Data Source download NOAA Ocean Exploration (OER) http://oceanexplorer.noaa.gov/ HTTP NOAA Ocean Exploration (OER) website Institution web page information resourceProvider crossReference MADT: AVISO Global 'DT all sat' Maps Of Absolute Dynamic Topography daily sea surface altimetry product publication https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/madt-h-uv.html HTTPS Maps Of Absolute Dynamic Topography daily sea surface altimetry product Data Source download Archiving, Validation and Interpretation of Satellite Oceanographic data (AVISO) resourceProvider crossReference MGET: Duke University Marine Geospatial Ecology Lab, Marine Geospatial Ecology Tools 0.8a64 for ArcGIS 10.4.1, Okubo-Weiss algorithm publication http://mgel.env.duke.edu/mget HTTP Okubo-Weiss algorithm Data Source download Duke University resourceProvider crossReference Pathfinder: AVHRR Pathfinder publication http://www.sstfronts.org/opendap/ HTTP AVHRR Pathfinder Data Source download crossReference Modeling and mapping marine bird distributions on the U.S. Atlantic Outer Continental Shelf to support offshore renewable energy planning 2013 publication https://coastalscience.noaa.gov/project/statistical-modeling-marine-bird-distributions/ HTTPS https://coastalscience.noaa.gov/project/statistical-modeling-marine-bird-distributions/ National Centers for Coastal Ocean Science (NCCOS) project page information NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information publisher documentDigital crossReference project Northeast Ocean Data Portal publication https://www.northeastoceandata.org/ HTTPS Data Portal Web Service download crossReference Mid-Atlantic Ocean Data Portal publication http://portal.midatlanticocean.org/ HTTP Data Portal Web Service download crossReference Kinlan, Brian P.; Winship, Arliss J.; White, Timothy P.; Christensen, John. 2016. Modeling At-Sea Occurrence and Abundance of Marine Birds to Support Atlantic Marine Renewable Energy Planning : Phase I Report. OCS Study BOEM 2016-039. https://repository.library.noaa.gov/view/noaa/18106 2016 publication noaa:18106 https://repository.library.noaa.gov/view/noaa/18106 HTTPS https://repository.library.noaa.gov/view/noaa/18106 NOAA Central Library: Related document information Kinlan, Brian P. author Winship, Arliss J. author White, Timothy P. author Christensen, John author documentDigital OCS Study BOEM 2016-039 crossReference collection Winship, Arliss J.; Kinlan, Brian P.; White, Timothy P.; Leirness, Jeffrey; Christensen, John. 2018. Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning : Final Report. OCS Study BOEM 2018-010. https://repository.library.noaa.gov/view/noaa/18109 2018 publication noaa:18109 https://repository.library.noaa.gov/view/noaa/18109 HTTPS https://repository.library.noaa.gov/view/noaa/18109 NOAA Central Library: Related document information Winship, Arliss J. author Kinlan, Brian P. author White, Timothy P. author Leirness, Jeffrey author Christensen, John author documentDigital OCS Study BOEM 2018-010 crossReference collection eng; USA utf8 environment oceans biota -83 -63.1 23.8 44.8 1978-01-01 2016-10-05 This analysis relied mainly on two types of data: counts of marine birds at sea from sighting surveys and information about the U.S. Atlantic OCS environment. Sighting datasets were provided by USGS and USFWS (Northwest Atlantic Seabird Catalog) and by CWS-ECCC (ECSAS database). Available spatial information describing the environment of U.S. Atlantic OCS and adjacent waters was compiled and synthesized by NCCOS. Environmental data came from a range of sources including remote sensing datasets and an ocean model dataset. Spatial environmental variables were characterized as spatial rasters, with dynamic variables represented by seasonal long-term climatologies. Spatial predictive modeling was applied to the sighting data to account for spatial and temporal heterogeneity in survey effort, platform, and protocol. An ensemble machine-learning technique, component-wise boosting of hierarchical zero-inflated count models, was used to relate the counts of each species to the environmental predictor variables while accounting for survey heterogeneity and the aggregated nature of sightings. The modeling technique allowed for complex non-linear relationships between response and predictor variables and interacting effects among predictors. Bootstrapping was used to derive estimates of the uncertainty in model predictions. For a complete description of the methods see Winship et al. (2018) NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov pointOfContact In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media. Contact NCEI for other distribution options and instructions. GeoTIFF .TIF and ancillary files .AUX, .TFW, .OVR, .XML ShapeFile .SHP and ancillary files .CPG, .DBF, .SBN, .SBX, .SHX, .XML CSV JPEG 1516.42 https://doi.org/10.25921/8eq5-q834 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/176682 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/176682 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0127/0176682/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0176682 v1.1 was published. 2018-11-16T15:56:40Z NCEI Accession 0176682 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0176682/1.1 HTTPS NCEI Accession 0176682 v1.1 published 2018-11-16T15:56:40Z download model Parameter or Variable: relative density (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Relative density (proportional to number of birds / km2) of 47 marine bird species (Table 3) in up to four seasons (spring: Mar-May; summer: Jun-Aug; fall: Sep-Nov; and winter: Dec-Feb) was modeled using habitat-based spatial predictive modeling. See Winship et al. (2018) for more details.; Data Quality Method: A data re-sampling technique (non-parametric bootstrapping) was used to estimate the precision of predicted relative density. Median (50th percentile) bootstrapped predictions were chosen as the best estimate of relative density (‘QUANT_50’). Precision was characterized in two ways: the coefficient of variation of bootstrapped predictions (‘CV’), and 2) the 90% ‘confidence interval’ range representing the difference between the 5th and 95th percentiles of bootstrapped predictions (‘RANGE_CI90’). Seasonal spatial layers indicating areas with no survey effort are provided as an additional indication of uncertainty in model predictions. All maps of predicted relative density and its CV were reviewed by experts with experience and knowledge of marine birds in the study area. Experts were from a range of organizations including federal and state government agencies, academic institutions, non-profits, and consultants. Comments and feedback received from the expert review were incorporated into the project report. See Winship et al. (2018) for more details. asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian