Skip to main content
U.S. flag

An official website of the United States government

Return to search results
💡 Advanced Search Tip

Search by organization or tag to find related datasets

NCCOS Assessment: Modeling At-Sea Density of Marine Birds to Support Atlantic Marine Renewable Energy Planning from 1978-2016 (NCEI Accession 0176682)

Published by NOAA National Centers for Environmental Information | National Oceanic and Atmospheric Administration, Department of Commerce | Metadata Last Checked: October 13, 2025 | Last Modified: 2018-11-16T00:00:00.000+00:00
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.

Find Related Datasets

Click any tag below to search for similar datasets

0176682 BIRDS model output NOAA National Centers for Coastal Ocean Science NOAA National Centers for Coastal Ocean Science Gulf of Maine Mid-Atlantic Bight North Atlantic Ocean oceanography DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce 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 EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS Marine Spatial Ecology > Ecological and Biogeographic Assessments Derived Data Product Geospatial Model Models/Analysis > Data Analysis > Environmental Modeling Relative Density 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 Region > Atlantic Ocean Region > International 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 Atlantic Ocean Continental Shelf South Atlantic Bight Earth Science Services > Models > Dynamic Vegetation/Ecosystem Models RM4YYU

Complete Metadata

describedByType application/octet-steam
identifier gov.noaa.nodc:0176682
issued 2018-11-16T00:00:00.000+00:00
landingPage https://www.ncei.noaa.gov/contact
language []
references 
[
  "https://espis.boem.gov/final%20reports/BOEM_2018-010.pdf",
  "https://doi.org/10.1016/j.marpol.2013.09.009",
  "https://www.ngdc.noaa.gov/ships/marcus_g_langseth/MGL1512_mb.html",
  "http://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_30_second_grid/",
  "http://www.marine-geo.org/portals/gmrt/",
  "https://dnc.nga.mil/PrototypeGSD.php",
  "http://hycom.org/dataserver",
  "https://mur.jpl.nasa.gov/",
  "https://rsg.pml.ac.uk/",
  "https://winds.jpl.nasa.gov/",
  "https://oceancolor.gsfc.nasa.gov",
  "https://maps.ngdc.noaa.gov/viewers/bathymetry/",
  "https://www.ngdc.noaa.gov/mgg/coastal/crm.html",
  "http://oceanexplorer.noaa.gov/okeanos/welcome.html",
  "http://oceanexplorer.noaa.gov/okeanos/explorations/acumen12/summary/welcome.html",
  "https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/madt-h-uv.html",
  "http://mgel.env.duke.edu/mget",
  "http://www.sstfronts.org/opendap/",
  "https://coastalscience.noaa.gov/project/statistical-modeling-marine-bird-distributions/",
  "https://www.northeastoceandata.org/",
  "http://portal.midatlanticocean.org/",
  "https://repository.library.noaa.gov/view/noaa/18106",
  "https://repository.library.noaa.gov/view/noaa/18109"
]
rights otherRestrictions
spatial -63.1,23.8,-83.0,44.8
temporal 1978-01-01T00:00:00+00:00/2016-10-05T00:00:00+00:00

data.gov

An official website of the GSA's Technology Transformation Services

Looking for U.S. government information and services?
Visit USA.gov