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U.S. Geological Survey
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Ethan Plunkett
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University of Massachusetts
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U.S. Geological Survey
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U.S. Geological Survey, National Geospatial Program
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Bradley W. Compton
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Ken Rukstales
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Designing Sustainable Landscapes, University of Massachusetts
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Ethan B. Plunkett
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GS ScienceBase
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Water Resources
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U.S. Geological Survey - ScienceBase
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Karen R. Ryberg
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William V. Deluca
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Alison P Appling
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Jordan S Read
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National Atlas of the United States
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Mueller, Charles S.
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USGS - National Geospatial Technical Operations Center (NGTOC)
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Farshid (Contractor) Felfelani
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Ecosystems
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James Falcone
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Ellsworth, William L.
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Hoover, Susan M.
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North Atlantic Landscape Conservation Cooperative
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Olivia Devereux
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Labeeb Ahmed
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Llenos, Andrea L.
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McGarr, Arthur F.
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Michael, Andrew J.
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Moschetti, Morgan P.
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Petersen, Mark D.
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Rubinstein, Justin L.
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Rukstales, Kenneth S.
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Peter R Claggett
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Judson W Harvey
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NFHP Science and Data Committee
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Andrew J Sekellick
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Carol L Luukkonen
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U.S. Geological Survey, SOUTHWEST REGION
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Unknown
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Connie L Dicken
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Shawn C Fisher
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Emily S Bernhardt
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James B Heffernan
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Charles B Yackulic
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Science Analytics and Synthesis
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Keith A Loftin
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More...
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The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CBLCD,
Chesapeak Bay watershed,
Chesapeake Bay,
Chesapeake Bay Program,
Chesapeake Bay Watershed, All tags...
Delaware,
District of Columbia,
Estuarine,
Estuary,
Impaired Waters,
Land Change,
Land Cover,
Land Use,
Land Use Change,
Maryland,
New York State,
Pennsylvania,
Virginia,
West Virginia,
environment,
estuary,
geoscientificInformation,
inlandWaters, Fewer tags
This dataset contains watershed means of estimated percent impervious surfaces for three time periods: 1992, 2002, and 2012. Estimates are based on coefficients derived from comparing land use of the 2012 NAWQA Wall-to-wall Anthropogenic Land-use Trends (NWALT) product to the 2011 National Land Cover Database (NLCD) imperviousness, then applying those coefficients to previous years (1974-2002) of the NWALT dataset.
Categories: Data;
Types: Citation;
Tags: Chesapeake Bay,
Delaware,
District of Columbia,
James River,
Maryland, All tags...
New York,
Pennsylvania,
Potomac River,
Rappahannock River,
Susquehanna River,
Virginia,
West Virginia,
impervious surfaces,
surface water quality, Fewer tags
Field spikes were prepared at 207 stream and river sites as part of the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project between December, 2012, and September, 2015. At the field site, a depth-and width-integrated environmental sample was collected, and one subsample of the environmental sample was spiked with a known amount of a spike mixture. Both the spiked subsample ("spike sample") and another subsample ("environmental sample") of the original water sample were analyzed for pesticides at the USGS National Water Quality Laboratory (NWQL) by direct injection liquid chromatography with tandem mass spectrometry (LC-MS/MS), and were used to calculate the spike recovery of each analyte....
Tags: Alabama,
Alaska,
Arizona,
California,
Colorado, All tags...
Connecticut,
District of Columbia,
Georgia,
Idaho,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maryland,
Minnesota,
Mississippi,
Montana,
Nebraska,
Nevada,
New Jersey,
New York,
North Carolina,
North Dakota,
Ohio,
Oregon,
River,
South Carolina,
Stream,
Surface water,
Texas,
United States,
Utah,
Virginia,
Washington,
field spike,
fungicide,
herbicide,
insecticide,
laboratory methods,
pesticide,
pesticide degradate,
quality control,
water quality, Fewer tags
This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. There may be private inholdings within the boundaries of Federal lands in this map layer. Some established Federal lands which are larger than 320 acres are not included in this map layer, because their boundaries were not available from the owning or administering agency.
Tags: Air Force,
Alabama,
Alaska,
Arizona,
Arkansas, All tags...
Army,
BIA,
BLM,
BOR,
Bureau of Indian Affairs,
Bureau of Land Management,
Bureau of Reclamation,
California,
Coast Guard,
Colorado,
Connecticut,
Coordinated Area,
DHS,
DOC,
DOD,
DOE,
DOJ,
DOL,
DOT,
Delaware,
Department of Commerce,
Department of Defense,
Department of Energy,
Department of Health and Human Services,
Department of Homeland Security,
Department of Justice,
Department of Labor,
Department of Transportation,
Department of Veterans Affairs,
District of Columbia,
Downloadable Data,
Downloadable Data,
Experimental Range,
Experimental Station,
FS,
FWS,
Federal Center,
Federal Correctional Complex,
Federal Penitentiary,
Federal lands,
Field Site,
FileGDB 10.1,
FileGDB 10.1,
Fish and Wildlife Service,
Flight Center,
Florida,
Forest Service,
GSA,
General Services Administration,
Georgia,
HHS,
Hawaii,
Idaho,
Illinois,
Indian Reservation,
Indiana,
Iowa,
Job Corps Center,
Kansas,
Kentucky,
Law Enforcement Training Center,
Louisiana,
MWAA,
MWAA,
Maine,
Marine Corps,
Maryland,
Massachusetts,
Metropolitan Washington Airports Authority,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
NASA,
NIH,
NPS,
National,
National,
National Aeronautics and Space Administration,
National Battlefield,
National Cemetery,
National Conservation Area,
National Fish Hatchery,
National Forest,
National Game Preserve,
National Grassland,
National Guard,
National Historic Park,
National Historic Reserve,
National Historic Site,
National Institutes of Health,
National Laboratory,
National Lakeshore,
National Memorial,
National Military Park,
National Monument,
National Natural Landmark,
National Park,
National Park Service,
National Parkway,
National Preserve,
National Recreation Area,
National Reserve,
National Scenic Area,
National Seashore,
National Wild and Scenic River,
National Wilderness Area,
National Wildlife Refuge,
Naval Petroleum Reserve,
Navy,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Public Domain Land,
Puerto Rico,
Research Facility,
Research Natural Area,
Research Station,
Rhode Island,
Scenic Area,
Small-scale Datasets,
Small-scale Datasets,
Small-scale Datasets,
Small-scale Datasets - Boundaries,
South Carolina,
South Dakota,
Space Center,
TVA,
Tennessee,
Tennessee Valley Authority,
Test Site,
Texas,
U.S. Coast Guard,
U.S. Department of Agriculture,
U.S. Fish and Wildlife Service,
U.S. Forest Service,
U.S. Virgin Islands,
US,
USA,
USDA,
United States,
Utah,
VA,
Vermont,
Virgin Islands,
Virginia,
Washington,
Waterfowl Production Area,
West Virginia,
Wild Horse Range,
Wild and Scenic River,
Wilderness Area,
Wildlife Management Area,
Wisconsin,
Wyoming,
boundaries,
intelligenceMilitary,
society, Fewer tags
This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time series observation (1 tab-delimited file per site-variable combination, 1 zip file per site). This compilation of data is intended for use in estimating or interpreting metabolism. Sites were included if they met the initial criteria of having at least 100 dissolved oxygen observations and one of the accepted NWIS site types ('ST','ST-CA','ST-DCH','ST-TS', or 'SP'). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release...
Tags: 007,
012,
AK,
AL,
AR, All tags...
Aerobic respiration,
Alabama,
Alaska,
Arkansas,
CA,
CO,
CT,
California,
Carbon,
Carbon dioxide,
Colorado,
Connecticut,
DC,
DE,
Delaware,
Dissolved oxygen,
District of Columbia,
Energy metabolism,
FL,
Florida,
GA,
Gas exchange,
Georgia,
IA,
ID,
IL,
IN,
Idaho,
Illinois,
Indiana,
Iowa,
KS,
KY,
Kansas,
Kentucky,
LA,
Louisiana,
MA,
MD,
ME,
MI,
MN,
MO,
MS,
MT,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
NC,
ND,
NE,
NJ,
NM,
NY,
Nebraska,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
OH,
OK,
OR,
Ohio,
Oklahoma,
Oregon,
Oxygen,
PA,
PR,
Pennsylvania,
Photosynthesis,
Primary production,
Puerto Rico,
Rivers,
SC,
SD,
South Carolina,
South Dakota,
Streams,
TN,
TX,
Tennessee,
Texas,
US,
UT,
United States,
Utah,
VA,
Virginia,
WA,
WI,
WV,
WY,
Washington,
Water courses,
West Virginia,
Wisconsin,
Wyoming,
environment,
inlandWaters, Fewer tags
The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,...
Types: Citation;
Tags: Alabama,
Arizona,
Arkansas,
Colorado,
Connecticut, All tags...
Delaware,
District of Columbia,
Earthquake,
Florida,
Georgia,
Hazard,
Illinois,
Indiana,
Induced,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Natural,
Nebraska,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Pennsylvania,
Rhode Island,
Seismic,
South Carolina,
South Dakota,
Tennessee,
Texas,
USA,
United States,
Utah,
Vermont,
Virginia,
West Virginia,
Wisconsin,
Wyoming, Fewer tags
This metadata record documents 11 comma delimited tables representing the amount of reported best management practice (BMP) implementation for the years from 1985 to 2014 at three geographic scales: county or land-river modeling segment, River Input Monitoring (RIM) station drainage areas, and the entire Chesapeake Bay Watershed (CBWS). Data originated from the Chesapeake Bay Watershed jurisdictions including Maryland, Pennsylvania, Virginia, Delaware, New York, West Virginia, and the District of Columbia. Data were reported to the Chesapeake Bay Program for an annual review of progress toward meeting nitrogen, phosphorus, and sediment reduction goals.
Categories: Data;
Tags: Animal,
Appomattox River,
BMP,
Best management practice,
Chesapeake Bay, All tags...
Chesapeake Bay watershed,
Choptank River,
Conservation practice,
Delaware,
District of Columbia,
Isolation scenarios,
James River,
Land use,
Land use change,
Load reduction,
Maryland,
Mattaponi River,
New York,
Nitrogen,
Non-RIM Eastern Shore,
Non-RIM Western Shore,
Nutrient sources,
Pamunkey River,
Patuxent River,
Pennsylvania,
Phosphorus,
Potomac River,
Rappahannock River,
Sediment,
Susquehanna River,
USA,
United States,
Virginia,
Watershed Model,
West Virginia, Fewer tags
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Tags: Agricultural land,
Barren land,
DC,
District of Columbia,
Downloadable Data, All tags...
Forest land,
Land Cover,
Land Cover - Woodland,
Land Cover - Woodland,
Not Classified,
Orthoimage,
Range land,
Shapefile,
Shapefile,
State,
State,
US,
US,
United States,
Urban and built-up land,
Water,
Wetland,
Woodland,
annotations,
biota,
ecology,
environment,
farming,
flora,
habitat,
imagery,
imageryBaseMapsEarthCover,
land cover, Fewer tags
This map layer shows Indian lands of the United States. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. Federally-administered lands within a reservation are included for continuity; these may or may not be considered part of the reservation and are simply described with their feature type and the administrating Federal agency. Some established Indian lands which are larger than 320 acres are not included in this map layer because their boundaries were not available from the owning or administering agency.
Tags: Alabama,
Alaska,
Arizona,
Arkansas,
BIA, All tags...
BLM,
BOR,
Boundaries,
Bureau of Indian Affairs,
Bureau of Land Management,
Bureau of Reclamation,
California,
Colorado,
Connecticut,
Delaware,
District of Columbia,
Downloadable Data,
Downloadable Data,
FWS,
Fish and Wildlife Service,
Florida,
Georgia,
Hawaii,
Idaho,
Illinois,
Indian Reservation,
Indian lands,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
NPS,
National,
National,
National Conservation Area,
National Forest,
National Game Preserve,
National Grassland,
National Monument,
National Park,
National Park Service,
National Wilderness Area,
National Wildlife Refuge,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Public Domain Land,
Rhode Island,
Shapefile,
Shapefile,
Small-scale Datasets,
Small-scale Datasets,
Small-scale Datasets,
Small-scale Datasets - Boundaries,
Society,
South Carolina,
South Dakota,
Tennessee,
Texas,
US,
USA,
United States,
Utah,
Vermont,
Virginia,
Washington,
Waterfowl Production Area,
West Virginia,
Wisconsin,
Wyoming, Fewer tags
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Tags: 7.5 x 7.5 minute,
Anacostia, DC-MD,
District of Columbia,
District of Columbia,
Downloadable Data, All tags...
EarthCover,
GeoPDF,
Imagery and Base Maps,
Map,
Maryland,
Prince George's,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
United States,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation, Fewer tags
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Tags: 7.5 x 7.5 minute,
District of Columbia,
District of Columbia,
Downloadable Data,
EarthCover, All tags...
GeoPDF,
Imagery and Base Maps,
Map,
Maryland,
Montgomery,
Prince George's,
Public Land Survey System,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
United States,
Washington East, DC-MD,
boundary,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation,
woodland, Fewer tags
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Tags: 7.5 x 7.5 minute,
Anacostia, DC-MD,
District of Columbia,
District of Columbia,
Downloadable Data, All tags...
EarthCover,
GeoPDF,
Imagery and Base Maps,
Map,
Maryland,
Prince George's,
Public Land Survey System,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
United States,
boundary,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation,
woodland, Fewer tags
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
Tags: 7.5 x 7.5 minute,
Alexandria,
Alexandria, VA-DC-MD,
Arlington,
District of Columbia, All tags...
District of Columbia,
Downloadable Data,
EarthCover,
Fairfax,
GeoPDF,
Imagery and Base Maps,
Map,
Maryland,
Prince George's,
Public Land Survey System,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
United States,
Virginia,
boundary,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation,
woodland, Fewer tags
Geospatial data includes structures and other selected map features.
Tags: Campground,
College / University,
Courthouse,
DC,
District of Columbia, All tags...
District of Columbia,
Downloadable Data,
Esri File GeoDatabase 10,
FileGDB,
Fire Station/ EMS Station,
Hospital/Medical Center,
Information Center,
Law Enforcement,
National Structures Dataset (NSD),
National Structures Dataset (NSD),
Post Office,
Prison/ Correctional Facility,
School,
School:Elementary,
School:High School,
School:Middle School,
State,
State,
State Capitol,
Structures,
Technical School,
Town Hall,
Trade School,
Trailhead,
US,
United States,
Visitor Center,
structure, Fewer tags
Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document toxicity measured by reduction of the light emission of Aliivibrio (formerly Photobacterium) fischeri and the inhibition of polymerase chain reactions caused by environmental...
Categories: Data;
Tags: Connecticut,
Delaware,
District of Columbia,
Maine,
Maryland, All tags...
Massachusetts,
Microtox 81.9% screening,
New Hampshire,
New Jersey,
New York,
PCR,
Pennsylvania,
Rhode Island,
South Carolina,
USGS Science Data Catalog (SDC),
Virginia,
chemical analysis,
contamination and pollution,
environmental health,
field monitoring stations,
field sampling,
matrix inhibition,
sediment analysis, Fewer tags
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: AK,
AL,
AR,
AS,
AZ, All tags...
Alabama,
Alaska,
American Samoa,
Antarctica,
Antarctica,
Arizona,
Arkansas,
BGN,
Board on Geographic Names,
Borough,
CA,
CO,
CT,
California,
Census Area,
Colorado,
Commonwealth,
Connecticut,
County,
DC,
DE,
Delaware,
District,
District of Columbia,
Downloadable Data,
Esri File GeoDatabase 10,
FL,
Feature class,
Feature coordinates,
Feature county,
Feature description,
Feature designation,
Feature history,
Feature indentification,
Feature name,
Feature state,
FileGDB,
Florida,
GA,
GNIS,
GU,
Geographic Names,
Geographic Names Full Model,
Geographic Names Information System,
Geographic feature,
Geographic name,
Geographical feature,
Geographical name,
Georgia,
Guam,
HI,
Hawaii,
IA,
ID,
IL,
IN,
Idaho,
Illinois,
Indiana,
Iowa,
KS,
KY,
Kansas,
Kentucky,
LA,
Louisiana,
MA,
MD,
ME,
MI,
MN,
MO,
MP,
MS,
MT,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Municipio,
NC,
ND,
NE,
NH,
NJ,
NM,
NV,
NY,
National,
National,
National Geographic Names Information System (GNIS),
National Geographic Names Information System (GNIS),
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Northern Mariana Islands,
OH,
OK,
OR,
Official feature name,
Ohio,
Oklahoma,
Oregon,
Outlying Area,
PA,
PR,
Parish,
Pennsylvania,
Place name,
Populated Place,
Puerto Rico,
RI,
Rhode Island,
SC,
SD,
South Carolina,
South Dakota,
TN,
TX,
Tennessee,
Territories,
Territory,
Texas,
Topographic Map,
U.S. Board on Geographic Names,
U.S. Geological Survey,
US,
USA,
USBGN,
USGS,
UT,
United States,
United States,
United States,
Utah,
VA,
VI,
VT,
Variant name,
Vermont,
Virgin Islands,
Virginia,
WA,
WI,
WV,
WY,
Washington,
West Virginia,
Wisconsin,
Wyoming,
antarctic,
database,
economy,
environment,
feature,
gazetteer,
geographic,
geographic names,
geographical,
geography,
geospatial,
imageryBaseMapsEarthCover,
inlandWaters,
location,
map,
name,
place,
placename,
society,
structure,
topographic map,
toponymy, Fewer tags
The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Antarctica,
Antarctica,
BGN,
Board on Geographic Names,
Borough, All tags...
Census Area,
Commonwealth,
County,
DC,
District,
District of Columbia,
District of Columbia,
Downloadable Data,
Feature class,
Feature coordinates,
Feature county,
Feature description,
Feature designation,
Feature history,
Feature indentification,
Feature name,
Feature state,
GNIS,
GeoPackage,
Geographic Names,
Geographic Names Full Model,
Geographic Names Information System,
Geographic feature,
Geographic name,
Geographical feature,
Geographical name,
Municipio,
National Geographic Names Information System (GNIS),
National Geographic Names Information System (GNIS),
Official feature name,
Open Geospatial Consortium GeoPackage 1.2,
Outlying Area,
Parish,
Place name,
Populated Place,
State,
Territories,
Territory,
Topographic Map,
U.S. Board on Geographic Names,
U.S. Geological Survey,
US,
USA,
USBGN,
USGS,
United States,
United States,
United States,
Variant name,
antarctic,
database,
economy,
environment,
feature,
gazetteer,
geographic,
geographic names,
geographical,
geography,
geospatial,
imageryBaseMapsEarthCover,
inlandWaters,
location,
map,
name,
place,
placename,
society,
structure,
topographic map,
toponymy, Fewer tags
These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
Tags: 1 x 1 degree,
1X1,
Alexandria,
Arlington,
Caroline, All tags...
Charles,
Clarke,
Culpeper,
DC,
District of Columbia,
District of Columbia,
Downloadable Data,
Elevation,
Elevation Terrestrial,
Essex,
Fairfax,
Falls Church,
Fauquier,
Fredericksburg,
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This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip...
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This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...
Categories: Data;
Tags: Alabama,
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