--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'VegScape is a geospatial data service which offers automated updates of vegetative condition at daily, weekly, and biweekly intervals. VegScape delivers interactive vegetation indices that enable quantification of U.S. crop conditions for exploring, visualizing, querying, and disseminating via interactive maps.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nass-00005.yaml identifier: usda-nass-00005 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'VegScape - Vegetative Condition Explorer' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nass-00005 url: http://nassgeodata.gmu.edu/VegScape/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The National Animal Health Monitoring System (NAHMS) Program Unit conducts national studies on the health, management, and productivity of United States domestic livestock and poultry populations.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nifa-rv-0003.yaml identifier: usda-nifa-rv-0003 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: National Animal Health Monitoring System native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nifa-rv-0003 url: http://www.aphis.usda.gov/wps/portal/aphis/ourfocus/animalhealth?1dmy&urile=wcm%3apath%3a%2FAPHIS_Content_Library%2FSA_Our_Focus%2FSA_Animal_Health%2FSA_Monitoring_And_Surveillance%2FSA_NAHMS%2F variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'GRIN provides germplasm information about plants, animals, microbes and invertebrates, important for food and agricultural production.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nifa-rv-0004.yaml identifier: usda-nifa-rv-0004 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Germplasm Resources Information Network (GRIN) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nifa-rv-0004 url: http://www.ars-grin.gov/npgs/searchgrin.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: The SCAN data retrieval tools provides an interactive process to identify and retrieve data from individual SCAN sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nrcs-4252.yaml identifier: usda-nrcs-4252 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Soil Climate Analysis Network (SCAN) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nrcs-4252 url: http://www.wcc.nrcs.usda.gov/scan/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: The SNOTEL data retrieval tools provides an interactive process to identify and retrieve data from individual SNOTEL sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nrcs-4390.yaml identifier: usda-nrcs-4390 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: SNOwpack TELemetry Network (SNOTEL) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nrcs-4390 url: http://www.wcc.nrcs.usda.gov/snow/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: COMET-FARM is a whole farm and ranch carbon and greenhouse gas accounting system. description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-nrcs-comet-farm.yaml identifier: usda-nrcs-comet-farm lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: COMET-FARM native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-nrcs-comet-farm url: http://cometfarm.nrel.colostate.edu/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: Climate data provided by the National Water & Climate Center description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-prism-585c8.yaml identifier: usda-prism-585c8 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: PRISM native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-prism-585c8 url: http://www.wcc.nrcs.usda.gov/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer shows polygons of average annual precipitation in the contiguous United States, for the climatological period 1961-1990. Parameter-elevation Regressions on Independent Slopes Model (PRISM) derived raster data is the underlying data set from which the polygons and vectors were created. PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of annual, monthly and event-based climatic parameters.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usda-united-states-average-annual-precipitation-1961-1990.yaml identifier: usda-united-states-average-annual-precipitation-1961-1990 lat_max: 49.371731 lat_min: 24.54522 lon_max: -66.957227 lon_min: -124.762142 name: 'United States Average Annual Precipitation, 1961-1990 - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-united-states-average-annual-precipitation-1961-1990 url: http://www.ncgc.nrcs.usda.gov/products/datasets/climate/data/index.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: ~ description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-07010000.yaml identifier: usgs-07010000 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'USGS 07010000 Mississippi River at St. Louis, MO' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-07010000 url: http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=07010000 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: ~ description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-10010000-water-levels-great-salt-lake-saltair-boat-harbor-ut.yaml identifier: usgs-10010000-water-levels-great-salt-lake-saltair-boat-harbor-ut lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Water Levels in the Great Salt Lake at Saltair Boat Harbor native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-10010000-water-levels-great-salt-lake-saltair-boat-harbor-ut url: https://waterdata.usgs.gov/nwis/uv?site_no=10010000 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This map layer contains a natural-earth image of Alaska. The image is land cover in natural colors combined with shaded relief, which produces a naturalistic rendition of the Earth's surface. The data set is in an Albers Equal-Area Conic projection. The Natural Earth data were produced from existing National Atlas land cover, elevation, and satellite view data, as well as MODIS Vegetation Continuous Fields data." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-100-meter-resolution-natural-earth-of-alaska.yaml identifier: usgs-100-meter-resolution-natural-earth-of-alaska lat_max: 77.0 lat_min: 40.0 lon_max: 167.0 lon_min: -122.0 name: '100-Meter Resolution Natural Earth of Alaska - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-100-meter-resolution-natural-earth-of-alaska url: http://dds.cr.usgs.gov/pub/data/nationalatlas/nateaki0100a.tif_nt00868.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer contains tree canopy data for Alaska, in an Albers Equal-Area Conic projection and at a resolution of 100 meters. The tree canopy data were derived from the National Land Cover Database (NLCD) 2001 percent tree canopy data set, a product of the Multi-Resolution Land Characteristics Consortium (MRLC). The MRLC is a multi-agency cooperative effort to study land cover change. The NLCD 2001 is described at .' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-100-meter-resolution-tree-canopy-of-alaska.yaml identifier: usgs-100-meter-resolution-tree-canopy-of-alaska lat_max: 77.0 lat_min: 40.0 lon_max: 167.0 lon_min: -122.0 name: '100-Meter Resolution Tree Canopy of Alaska - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-100-meter-resolution-tree-canopy-of-alaska url: http://dds.cr.usgs.gov/pub/data/nationalatlas/treeaki0100a.tif_nt00841.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: This dataset is comprised of a single aerial image of a single area on Alaska's Arctic Coastal Plain taken on 21 June 1955 by the U.S. Air Force and obtained from the USGS EROS data center via the EarthExplorer website in 2013. The image represents an historical snapshot of the landscape from that time. The image was scanned and geo-referenced to various contemporary (2002-2010) satellite imagery using tie-point methods and splines for interpolation. description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-aerial-image-alaskas-arctic-coastal-plain-1955.yaml identifier: usgs-aerial-image-alaskas-arctic-coastal-plain-1955 lat_max: 70.958 lat_min: 70.83 lon_max: -150.3696 lon_min: -152.967 name: Aerial Image of Alaska's Arctic Coastal Plain; 1955 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-aerial-image-alaskas-arctic-coastal-plain-1955 url: http://dx.doi.org/10.5066/F757192K variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: This dataset is comprised of 36 black and white 9x9 inch aerial images of four different study areas on Alaska's Arctic Coastal Plain taken between 1948-1949 and obtained from the Alaska Satellite Facility in 2013. The images represent an historical snapshot of the landscape from that time. The images were scanned and geo-referenced to various contemporary (2002-2010) satellite imagery using tie-point methods and splines for interpolation. description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-aerial-images-of-alaskas-arctic-coastal-plain-1948-1949.yaml identifier: usgs-aerial-images-of-alaskas-arctic-coastal-plain-1948-1949 lat_max: 70.8766 lat_min: 70.83269 lon_max: -153.13087 lon_min: -153.26617 name: "Aerial Images of Alaska's Arctic Coastal Plain; 1948, 1949" native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-aerial-images-of-alaskas-arctic-coastal-plain-1948-1949 url: http://dx.doi.org/10.5066/F79021TB variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This dataset is comprised of 10 aerial images of three different study areas on Alaska's Arctic Coastal Plain flown by NASA in 1974, 1977, 1979 and obtained from the USGS EROS Data Center via the EarthExplorer website in 2013. The images represent an historical snapshot of the landscape from that time. The images were scanned and georeferenced to various contemporary (2002-2010) satellite imagery using tie-point methods and splines for interpolation." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-aerial-images-of-alaskas-arctic-coastal-plain-1974-1979.yaml identifier: usgs-aerial-images-of-alaskas-arctic-coastal-plain-1974-1979 lat_max: 71.0 lat_min: 70.399 lon_max: -152.819 lon_min: -155.386 name: Aerial Images of Alaska's Arctic Coastal Plain; 1974-1979 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-aerial-images-of-alaskas-arctic-coastal-plain-1974-1979 url: http://dx.doi.org/10.5066/F71G0J9D variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This map layer portrays a selected set of information that was collected for the 2007 Census of Agriculture by the National Agricultural Statistics Service, U.S. Department of Agriculture. There are 25 categories of data which include information about farms, crops, livestock, values of products, and farm operator characteristics. The data is for the United States and is presented by county. This is a replacement for the June 2005 Agriculture Census of the United States ? 2002 map layer.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-agriculture-census-of-the-united-states-2007.yaml identifier: usgs-agriculture-census-of-the-united-states-2007 lat_max: 72.0 lat_min: 17.0 lon_max: 170.0 lon_min: -64.0 name: 'Agriculture Census of the United States - 2007 - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-agriculture-census-of-the-united-states-2007 url: http://dds.cr.usgs.gov/pub/data/nationalatlas/agcn07p020_nt00338.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The digitally compiled map includes geology, oil and gas field centerpoints, and geologic provinces of the Arctic (North Pole area encircled by 640 N Latitude). The GIS data sets were designed originally in ESRI's ARC/INFO ver. 8.0.1 and were published as part of a series of interim CD-ROM products of the U.S. Geological Survey's World Energy Project (WEP). The goal of the WEP is to assess the undiscovered, technically recoverable oil and gas resources of the world. Results of this assessment were reported in the year 2000 (see USGS DDS-60; http://pubs.usgs.gov/dds/dds-060/)." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-arctic-bathymetry-batharcst.yaml identifier: usgs-arctic-bathymetry-batharcst lat_max: 89.999989 lat_min: 53.839145 lon_max: 178.853813 lon_min: -178.894406 name: Arctic Bathymetry (batharcst) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-arctic-bathymetry-batharcst url: http://certmapper.cr.usgs.gov/data/we/ofr97470j/spatial/shape/batharcst.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The digitally compiled map includes geology, oil and gas field centerpoints, and geologic provinces of the Arctic (North Pole area encircled by 640 N Latitude). The GIS data sets were designed originally in ESRI's ARC/INFO ver. 8.0.1 and were published as part of a series of interim CD-ROM products of the U.S. Geological Survey's World Energy Project (WEP). The goal of the WEP is to assess the undiscovered, technically recoverable oil and gas resources of the world. Results of this assessment were reported in the year 2000 (see USGS DDS-60; http://pubs.usgs.gov/dds/dds-060/)." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-arctic-geology-geoarcst.yaml identifier: usgs-arctic-geology-geoarcst lat_max: 89.999989 lat_min: 53.791686 lon_max: 178.927956 lon_min: -178.825087 name: Arctic Geology (geoarcst) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-arctic-geology-geoarcst url: http://certmapper.cr.usgs.gov/data/we/ofr97470j/spatial/export/geoarcste.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This image shows national-scale patterns of naturally occurring arsenic in potable ground-water resources of the continental United States. The image was generated from the most recent arsenic measurement available for each of 31,350 wells and springs across the United States. Over 20,000 of the water samples were collected by the U.S. Geological Survey between 1973 and 2001. The remainder of the samples were collected by State agencies and analyzed by comparable laboratory techniques. The data set shows a moving 75th percentile, which can also be described as the maximum arsenic concentration found in 75% of samples within a moving 50 km radius (the median size of a U.S. county). In other words, for any given 50-km-radius region in the data, lower concentrations of arsenic were found in 75% of sampled wells, while higher concentrations of arsenic were found in 25% of sampled wells. This is a revised version of the August 2002 map layer, with a corrected shoreline for Greenland.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-arsenic-in-ground-water-of-the-united-states.yaml identifier: usgs-arsenic-in-ground-water-of-the-united-states lat_max: 83.0 lat_min: 15.0 lon_max: 166.0 lon_min: -4.0 name: 'Arsenic in Ground Water of the United States - Direct Download' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-arsenic-in-ground-water-of-the-united-states url: http://dds.cr.usgs.gov/pub/data/nationalatlas/arsenci020l_nt00167.tar.gz variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (http://www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (http://www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (http://www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. Currently, the database contains ~60 datasets from 1906-2009 with over 260,000 records of seabird observations. Data will initially be provided as summary web mapping services, with web feature services (for downloading and looking at single-species data) at the linkage given elsewhere in this document. USAGE: Seabirds provide unique challenges even when using estimation techniques to sample populations (e.g., Tasker et al. 1984, Spear et al. 1992). To date, there has been little consistency among survey designs. Surveys have varied by the type of vessel from which they are conducted (ship, plane), the methodology that counts are made, the width of the area being counted, and equipment used, among many other differences. Under such circumstances, comparing results and making inferences can be difficult. Because these estimates of effort-adjusted counts do not account for detection probability, they are likely biased by factors that affect this parameter such as weather, survey method, observer, or other environmental variables (MacKenzie et al. 2006). Such results may be considered naïve in that they do not account for factors that can affect the ability to detect an animal. Furthermore, these results contain data collected over a 30 year period without regard for any long term temporal changes that may have occurred with species or the environment. Further analysis is necessary to determine if such changes have occurred with any species. While it is possible to separate data collected recently from historical (>20 years old) datasets, the amount of recent data is limited and therefore maps showing only these data may be limited spatially. Finally, effort calculations do not account for survey width, while normally static during a survey, can be reduced during certain conditions and does vary by survey method, especially boat vs. plan surveys. The vast majority of survey data collected offshore U.S. Atlantic waters were collected using similar techniques and so effort data will not be greatly affected by such discrepancies. Still, such differences do exist and were not accounted for; therefore, this estimate of survey effort is a rough surrogate for effort. Consequently, the effort-adjusted counts will also be affected by differences in survey methodology and should be considered only roughly offset by effort." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/usgs-atlantic-offshore-seabird-dataset-catalog.yaml identifier: usgs-atlantic-offshore-seabird-dataset-catalog lat_max: 64.9086 lat_min: 23.3786 lon_max: -51.935 lon_min: -99.8626 name: Atlantic Offshore Seabird Dataset Catalog native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usgs-atlantic-offshore-seabird-dataset-catalog url: https://www.sciencebase.gov/catalog/file/get/56f15a47e4b0f59b85de0ac4 variables: ~ version: ~ vertical_extent: ~