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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7_5_Min,
Combined Vector,
Combined Vector,
Combined Vector, All tags...
Downloadable Data,
Esri File GeoDatabase 10,
FileGDB,
Itasca,
MN,
Minnesota,
Public Land Survey System,
Topo Map Vector Data,
US,
United States,
boundary,
contours,
geographic names,
hydrography,
structures,
transportation,
woodland, Fewer tags
Geospatial data includes structures and other selected map features.
Tags: Aitkin,
Anoka,
Becker,
Beltrami,
Benton, All tags...
Big Stone,
Blue Earth,
Brown,
Campground,
Carlton,
Carver,
Cass,
Chippewa,
Chisago,
Clay,
Clearwater,
College / University,
Cook,
Cottonwood,
Courthouse,
Crow Wing,
Dakota,
Dodge,
Douglas,
Downloadable Data,
Faribault,
Fillmore,
Fire Station/ EMS Station,
Freeborn,
GeoPackage,
Goodhue,
Grant,
Hennepin,
Hospital/Medical Center,
Houston,
Hubbard,
Information Center,
Isanti,
Itasca,
Jackson,
Kanabec,
Kandiyohi,
Kittson,
Koochiching,
Lac qui Parle,
Lake,
Lake of the Woods,
Law Enforcement,
Le Sueur,
Lincoln,
Lyon,
MN,
Mahnomen,
Marshall,
Martin,
McLeod,
Meeker,
Mille Lacs,
Minnesota,
Morrison,
Mower,
Murray,
National Structures Dataset (NSD),
National Structures Dataset (NSD),
Nicollet,
Nobles,
Norman,
Olmsted,
Open Geospatial Consortium GeoPackage 1.2,
Otter Tail,
Pennington,
Pine,
Pipestone,
Polk,
Pope,
Post Office,
Prison/ Correctional Facility,
Ramsey,
Red Lake,
Redwood,
Renville,
Rice,
Rock,
Roseau,
School,
School:Elementary,
School:High School,
School:Middle School,
Scott,
Sherburne,
Sibley,
St. Louis,
State,
State,
State Capitol,
Stearns,
Steele,
Stevens,
Structures,
Swift,
Technical School,
Todd,
Town Hall,
Trade School,
Trailhead,
Traverse,
US,
United States,
Visitor Center,
Wabasha,
Wadena,
Waseca,
Washington,
Watonwan,
Wilkin,
Winona,
Wright,
Yellow Medicine,
structure, Fewer tags
Layers of geospatial data include roads, airports, trails, and railroads.
Tags: Airport Complex,
Airport Point,
Airport Runway,
Airports,
Airstrips, All tags...
Aitkin,
Anoka,
Becker,
Beltrami,
Benton,
Big Stone,
Blue Earth,
Brown,
Carlton,
Carver,
Cass,
Chippewa,
Chisago,
Clay,
Clearwater,
Cook,
Cottonwood,
Crow Wing,
Dakota,
Dodge,
Douglas,
Downloadable Data,
Faribault,
Fillmore,
Freeborn,
GeoPackage,
Geographic names,
Goodhue,
Grant,
Hennepin,
Houston,
Hubbard,
Isanti,
Itasca,
Jackson,
Kanabec,
Kandiyohi,
Kittson,
Koochiching,
Lac qui Parle,
Lake,
Lake of the Woods,
Le Sueur,
Lincoln,
Lyon,
MN,
Mahnomen,
Marshall,
Martin,
McLeod,
Meeker,
Mille Lacs,
Minnesota,
Morrison,
Mower,
Murray,
National Transportation Dataset (NTD),
National Transportation Dataset (NTD),
Nicollet,
Nobles,
Norman,
Olmsted,
Open Geospatial Consortium GeoPackage 1.2,
Otter Tail,
Pennington,
Pine,
Pipestone,
Polk,
Pope,
Railways,
Ramsey,
Red Lake,
Redwood,
Renville,
Rice,
Roads,
Rock,
Roseau,
Scott,
Sherburne,
Sibley,
St. Louis,
State,
State,
Stearns,
Steele,
Stevens,
Swift,
Todd,
Trail,
Trails,
Transportation,
Transportation,
Traverse,
US,
United States,
Wabasha,
Wadena,
Waseca,
Washington,
Waterway,
Watonwan,
Wilkin,
Winona,
Wright,
Yellow Medicine,
transportation, Fewer tags
Effective monitoring and prediction of flood and drought events requires an improved understanding of how and why surface-water expansion and contraction in response to climate varies across space. This paper sought to (1) quantify how interannual patterns of surface-water expansion and contraction vary spatially across the Prairie Pothole Region (PPR) and adjacent Northern Prairie (NP) in the United States, and (2) explore how landscape characteristics influence the relationship between climate inputs and surface-water dynamics. Due to differences in glacial history, the PPR and NP show distinct patterns in regards to drainage development and wetland density, together providing a diversity of conditions to examine...
Tags: Climatology,
Iowa,
Landsat,
Minnesota,
Missouri, All tags...
Montana,
Nebraska,
North Dakota,
Northern Prairie,
Prairie Pothole Region,
Remote Sensing,
South Dakota,
USGS Science Data Catalog (SDC),
Water Resources,
surface water, Fewer tags
The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" "Standard" (https://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level)...
Tags: 10-digit,
12-digit,
14-digit,
16-digit,
2-digit, All tags...
4-digit,
6-digit,
8-digit,
Adair,
Adams,
Albany,
Allen,
Anderson,
Andrew,
Antelope,
Appanoose,
Arapahoe,
Arthur,
Atchison,
Audrain,
Audubon,
Aurora,
Banner,
Barnes,
Barton,
Basin,
Bates,
Beadle,
Beaverhead,
Bennett,
Benton,
Big Horn,
Billings,
Blaine,
Bon Homme,
Boone,
Boulder,
Bourbon,
Bowman,
Box Butte,
Boyd,
Broadwater,
Brookings,
Broomfield,
Brown,
Brule,
Buchanan,
Buena Vista,
Buffalo,
Burke,
Burleigh,
Burt,
Butler,
Butte,
CO,
Caldwell,
Callaway,
Camden,
Campbell,
Carbon,
Carroll,
Carter,
Cascade,
Cass,
Cedar,
Chaffee,
Chariton,
Charles Mix,
Chase,
Cherokee,
Cherry,
Cheyenne,
Chouteau,
Christian,
Clark,
Clarke,
Clay,
Clear Creek,
Clinton,
Cloud,
Codington,
Coffey,
Cole,
Colfax,
Colorado,
Converse,
Cooper,
Corson,
Crawford,
Crook,
Cuming,
Custer,
Dade,
Dakota,
Dallas,
Daniels,
Daviess,
Davis,
Davison,
Dawes,
Dawson,
Day,
DeKalb,
Decatur,
Deer Lodge,
Dent,
Denver,
Deuel,
Dewey,
Dickey,
Dickinson,
Divide,
Dixon,
Dodge,
Doniphan,
Douglas,
Downloadable Data,
Dundy,
Dunn,
Eddy,
Edmunds,
El Paso,
Elbert,
Ellis,
Ellsworth,
Emmet,
Emmons,
Fall River,
Fallon,
Faulk,
Fergus,
Fillmore,
Flathead,
Foster,
Franklin,
Fremont,
Frontier,
Furnas,
Gage,
Gallatin,
Garden,
Garfield,
Gasconade,
Geary,
Gentry,
GeoPackage,
Gilpin,
Glacier,
Golden Valley,
Goshen,
Gosper,
Gove,
Graham,
Grand,
Granite,
Grant,
Greeley,
Greene,
Gregory,
Grundy,
Guthrie,
HU-2,
HU-2 Region,
HU2_10,
HUC,
Haakon,
Hall,
Hamilton,
Hamlin,
Hand,
Hanson,
Harding,
Harlan,
Harrison,
Hayes,
Henry,
Hettinger,
Hickory,
Hill,
Hitchcock,
Holt,
Hooker,
Hot Springs,
Howard,
Howell,
Hughes,
Hutchinson,
Hyde,
Hydrography,
Hydrologic Unit Code,
Hydrologic Units,
IA,
ID,
Ida,
Idaho,
Iowa,
Jackson,
Jefferson,
Jerauld,
Jewell,
Johnson,
Jones,
Judith Basin,
KS,
Kansas,
Kearney,
Keith,
Keya Paha,
Kidder,
Kimball,
Kingsbury,
Kit Carson,
Knox,
LaMoure,
Laclede,
Lafayette,
Lake,
Lancaster,
Lane,
Laramie,
Larimer,
Lawrence,
Leavenworth,
Lemhi,
Lewis and Clark,
Liberty,
Lincoln,
Linn,
Livingston,
Logan,
Loup,
Lucas,
Lyman,
Lyon,
MN,
MO,
MT,
Macon,
Madison,
Maries,
Marion,
Marshall,
McCone,
McCook,
McHenry,
McIntosh,
McKenzie,
McLean,
McPherson,
Meade,
Meagher,
Mellette,
Mercer,
Merrick,
Miami,
Miller,
Mills,
Miner,
Minnehaha,
Minnesota,
Missouri,
Mitchell,
Moniteau,
Monona,
Monroe,
Montana,
Montgomery,
Moody,
Morgan,
Morrill,
Morris,
Morton,
Mountrail,
Murray,
Musselshell,
ND,
NE,
Nance,
National Watershed Boundary Dataset (WBD),
National Watershed Boundary Dataset (WBD),
Natrona,
Nebraska,
Nemaha,
Ness,
Niobrara,
Nobles,
Nodaway,
North Dakota,
Norton,
Nuckolls,
O'Brien,
Oglala Lakota,
Oliver,
Open Geospatial Consortium GeoPackage 1.2,
Osage,
Osborne,
Osceola,
Otoe,
Ottawa,
Page,
Palo Alto,
Park,
Pawnee,
Pennington,
Perkins,
Petroleum,
Pettis,
Phelps,
Phillips,
Pierce,
Pipestone,
Platte,
Plymouth,
Polk,
Pondera,
Pottawatomie,
Pottawattamie,
Potter,
Powder River,
Powell,
Prairie,
Pulaski,
Putnam,
Randolph,
Ransom,
Ravalli,
Rawlins,
Ray,
Red Willow,
Region,
Republic,
Rice,
Richardson,
Richland,
Riley,
Ringgold,
Roberts,
Rock,
Rooks,
Roosevelt,
Rosebud,
Routt,
Rush,
Russell,
SD,
Sac,
Saline,
Sanborn,
Sargent,
Sarpy,
Saunders,
Schuyler,
Scott,
Scotts Bluff,
Sedgwick,
Seward,
Shawnee,
Shelby,
Sheridan,
Sherman,
Silver Bow,
Sioux,
Slope,
Smith,
South Dakota,
Spink,
St. Charles,
St. Clair,
St. Louis,
Stanley,
Stanton,
Stark,
Stillwater,
Stutsman,
Sub-basin,
Sub-region,
Sublette,
Subwatershed,
Sullivan,
Sully,
Summit,
Sweet Grass,
Sweetwater,
Taylor,
Teller,
Teton,
Texas,
Thayer,
Thomas,
Thurston,
Todd,
Toole,
Treasure,
Trego,
Tripp,
Turner,
US,
Union,
United States,
Valley,
Vernon,
WBD,
WY,
Wabaunsee,
Wallace,
Walworth,
Ward,
Warren,
Washakie,
Washington,
Watershed,
Watershed Boundary Dataset,
Wayne,
Webster,
Weld,
Wells,
Weston,
Wheatland,
Wheeler,
Wibaux,
Wichita,
Williams,
Woodbury,
Worth,
Wright,
Wyandotte,
Wyoming,
Yankton,
Yellowstone,
York,
Yuma,
Ziebach,
inlandWaters, Fewer tags
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
Tags: 7.5 x 7.5 minute,
Downloadable Data,
EarthCover,
Geospatial PDF,
Imagery and Base Maps, All tags...
Itasca County,
Map,
Minnesota,
Pigeon Dam Lake, MN,
Public Land Survey System,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
boundary,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation,
woodland, Fewer tags
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
Tags: 7.5 x 7.5 minute,
Downloadable Data,
EarthCover,
Geospatial PDF,
Imagery and Base Maps, All tags...
Itasca County,
Map,
Minnesota,
Public Land Survey System,
Squaw Lake, MN,
U.S. National Grid,
US,
US Topo,
US Topo Historical,
boundary,
contour,
geographic names,
hydrography,
imageryBaseMapsEarthCover,
orthoimage,
structures,
topographic,
transportation,
woodland, Fewer tags
Groundwater age distributions and susceptibility to natural and anthropogenic contaminants were assessed for selected wells, streambed piezometers, and springs in southeastern Minnesota. The data provide information to understand how long it will take to observe groundwater quality improvements from best management practices implemented at land surface to reduce losses of nitrate (and other chemicals) from agricultural practices. Nineteen water samples were collected from ten wells, three streambed piezometers, and four springs between August 2020 and September 2022. Two of these samples are field replicate samples collected from a spring site and a well site. A child item contains historical data from 15 water...
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 National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units,
Administrative watershed units,
Alger,
Area of Complex Channels,
Area to be submerged, All tags...
Ashland,
Baraga,
Basin,
Basin,
Bay/Inlet,
Bayfield,
Boundaries,
Boundary,
Bridge,
Canal/Ditch,
Chippewa,
Coastline,
Connector,
Cook,
Dam/Weir,
Douglas,
Downloadable Data,
Drainage areas for surface water,
Drainageway,
Esri Shapefile nan,
Estuary,
Flow direction network,
Flume,
ForeShore,
Gaging Station,
Gate,
Gogebic,
HU-4,
HU-4 Subregion,
HU10,
HU12,
HU14,
HU16,
HU2,
HU4,
HU4_0418,
HU6,
HU8,
HUC,
Hazard Zone,
Houghton,
Hydrographic,
Hydrography,
Hydrography,
Hydrography,
Hydrologic Unit Code,
Hydrologic Units,
Ice mass,
Inundation Area,
Iron,
Keweenaw,
Lake,
Levee,
Line,
Lock Chamber,
Luce,
MI,
MN,
Marquette,
Marsh,
Michigan,
Minnesota,
National Hydrography Dataset (NHD),
National Hydrography Dataset (NHD) Best Resolution,
National Hydrography Dataset (NHD) Best Resolution,
Nonearthen Shore,
Ontonagon,
Orthoimage,
Playa,
Point,
PointEvent,
Pond,
Rapids,
Rapids,
Reach,
Reach code,
Reef,
Region,
Reservoir,
Rock,
Sea/Ocean,
Shapefile,
Sink/Rise,
Sounding Datum Line,
Special Use Zone,
Special Use Zone Limit,
Spillway,
St. Louis,
Stream,
Stream/River,
Sub-basin,
Sub-region,
Subbasin,
Submerged Stream,
Subregion,
Subwatershed,
Surface water systems,
Swamp,
Topographic,
Tunnel,
US,
Underground Conduit,
United States,
WBD,
WBD,
WI,
Wall,
Wash,
Water Intake Outflow,
Waterfall,
Watershed,
Watershed Boundaries,
Watershed Boundary Dataset,
Watershed Boundary Dataset,
Well,
Wisconsin,
artificial path,
boundaries,
dams,
drainage systems and characteristics,
inlandWaters,
lakes,
ngda,
rivers, 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,
Ashland,
Bayfield,
Cook, All tags...
Downloadable Data,
Elevation,
Elevation Terrestrial,
GeoPackage,
Gogebic,
Lake,
MI,
MN,
Michigan,
Minnesota,
National Elevation Dataset (NED),
National Elevation Dataset (NED) 1/3 arc-second - Contours,
National Elevation Dataset (NED) 1/3 arc-second - Contours,
Ontonagon,
Open Geospatial Consortium GeoPackage 1.2,
US,
United States,
WI,
Wisconsin,
elevation,
ngda, Fewer tags
Wildlife species face threats from climate and land use change, which may exacerbate how extreme climatic events influence population persistence and biodiversity. Migratory waterbirds are especially vulnerable to hydrological drought via reduced availability of surface water habitats. We assessed how whooping cranes, an endangered species in the U.S. and Canada, modified habitat use and migration strategies during drought to understand this species’ resilience to changing conditions and adaptive capacity. The data included 8,555 night-roost sites used by 145 cranes, 2010–2022, under non-drought conditions, moderate drought, and extreme drought conditions.
Categories: Data;
Tags: Alberta,
Colorado,
Ecology,
Iowa,
Kansas, All tags...
Manitoba,
Migratory birds,
Minnesota,
Missouri,
Montana,
Nebraska,
North Dakota,
Oklahoma,
Saskatchewan,
South Dakota,
Texas,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
birds,
environment,
migration (organisms),
plant and animal tagging, Fewer tags
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units,
Administrative watershed units,
Aitkin,
Anoka,
Area of Complex Channels, All tags...
Area to be submerged,
Basin,
Basin,
Bay/Inlet,
Becker,
Beltrami,
Benton,
Big Stone,
Blue Earth,
Boundaries,
Boundary,
Bridge,
Brown,
Canal/Ditch,
Carlton,
Carver,
Cass,
Chippewa,
Chisago,
Clay,
Clearwater,
Coastline,
Connector,
Cook,
Cottonwood,
Crow Wing,
Dakota,
Dam/Weir,
Dodge,
Douglas,
Downloadable Data,
Drainage areas for surface water,
Drainageway,
Esri File GeoDatabase 10,
Estuary,
Faribault,
FileGDB,
Fillmore,
Flow direction network,
Flume,
ForeShore,
Freeborn,
Gaging Station,
Gate,
Goodhue,
Grant,
HU10,
HU12,
HU14,
HU16,
HU2,
HU4,
HU6,
HU8,
HUC,
Hazard Zone,
Hennepin,
Houston,
Hubbard,
Hydrographic,
Hydrography,
Hydrography,
Hydrography,
Hydrologic Unit Code,
Hydrologic Units,
Ice mass,
Inundation Area,
Isanti,
Itasca,
Jackson,
Kanabec,
Kandiyohi,
Kittson,
Koochiching,
Lac qui Parle,
Lake,
Lake of the Woods,
Le Sueur,
Levee,
Lincoln,
Line,
Lock Chamber,
Lyon,
MN,
Mahnomen,
Marsh,
Marshall,
Martin,
McLeod,
Meeker,
Mille Lacs,
Minnesota,
Morrison,
Mower,
Murray,
National Hydrography Dataset (NHD),
National Hydrography Dataset (NHD) Best Resolution,
National Hydrography Dataset (NHD) Best Resolution,
Nicollet,
Nobles,
Nonearthen Shore,
Norman,
Olmsted,
Orthoimage,
Otter Tail,
Pennington,
Pine,
Pipestone,
Playa,
Point,
PointEvent,
Polk,
Pond,
Pope,
Ramsey,
Rapids,
Rapids,
Reach,
Reach code,
Red Lake,
Redwood,
Reef,
Region,
Renville,
Reservoir,
Rice,
Rock,
Rock,
Roseau,
Scott,
Sea/Ocean,
Sherburne,
Sibley,
Sink/Rise,
Sounding Datum Line,
Special Use Zone,
Special Use Zone Limit,
Spillway,
St. Louis,
State,
State,
State_Minnesota,
Stearns,
Steele,
Stevens,
Stream,
Stream/River,
Sub-basin,
Sub-region,
Subbasin,
Submerged Stream,
Subregion,
Subwatershed,
Surface water systems,
Swamp,
Swift,
Todd,
Topographic,
Traverse,
Tunnel,
US,
Underground Conduit,
United States,
WBD,
WBD,
Wabasha,
Wadena,
Wall,
Waseca,
Wash,
Washington,
Water Intake Outflow,
Waterfall,
Watershed,
Watershed Boundaries,
Watershed Boundary Dataset,
Watershed Boundary Dataset,
Watonwan,
Well,
Wilkin,
Winona,
Wright,
Yellow Medicine,
artificial path,
boundaries,
dams,
drainage systems and characteristics,
inlandWaters,
lakes,
ngda,
rivers, Fewer tags
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...
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Conterminous United States,
Delaware,
District of Columbia,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wisconsin,
Wyoming,
modeling,
public supply,
water use, Fewer tags
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,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Delaware,
District of Columbia,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wisconsin,
Wyoming,
conterminous United States,
modeling,
public supply,
water use, Fewer tags
This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. 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. Data retrieved by the census data collector code were used as input...
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Conterminous United States,
Delaware,
District of Columbia,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wisconsin,
Wyoming,
modeling,
public supply,
water use, Fewer tags
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units,
Administrative watershed units,
Area of Complex Channels,
Area to be submerged,
Basin, All tags...
Basin,
Bay/Inlet,
Boundaries,
Boundary,
Bridge,
Canal/Ditch,
Coastline,
Connector,
Dam/Weir,
Dodge,
Downloadable Data,
Drainage areas for surface water,
Drainageway,
Estuary,
Flow direction network,
Flume,
ForeShore,
Gaging Station,
Gate,
GeoPackage,
Goodhue,
HU-8,
HU-8 Subbasin,
HU10,
HU12,
HU14,
HU16,
HU2,
HU4,
HU6,
HU8,
HU8_07040004,
HUC,
Hazard Zone,
Hydrographic,
Hydrography,
Hydrography,
Hydrography,
Hydrologic Unit Code,
Hydrologic Units,
Ice mass,
Inundation Area,
Levee,
Line,
Lock Chamber,
MN,
Marsh,
Minnesota,
Mower,
National Hydrography Dataset (NHD),
National Hydrography Dataset (NHD) Best Resolution,
National Hydrography Dataset (NHD) Best Resolution,
Nonearthen Shore,
Olmsted,
Open Geospatial Consortium GeoPackage 1.2,
Orthoimage,
Playa,
Point,
PointEvent,
Pond,
Rapids,
Rapids,
Reach,
Reach code,
Reef,
Region,
Reservoir,
Rice,
Rock,
Sea/Ocean,
Sink/Rise,
Sounding Datum Line,
Special Use Zone,
Special Use Zone Limit,
Spillway,
Steele,
Stream,
Stream/River,
Sub-basin,
Sub-region,
Subbasin,
Submerged Stream,
Subregion,
Subwatershed,
Surface water systems,
Swamp,
Topographic,
Tunnel,
US,
Underground Conduit,
United States,
WBD,
WBD,
Wabasha,
Wall,
Wash,
Water Intake Outflow,
Waterfall,
Watershed,
Watershed Boundaries,
Watershed Boundary Dataset,
Watershed Boundary Dataset,
Well,
artificial path,
boundaries,
dams,
drainage systems and characteristics,
inlandWaters,
lakes,
ngda,
rivers, Fewer tags
This map layer shows major ports in the United States, Puerto Rico, and the U.S. Virgin Islands. A port is a city, town, or urban area with a harbor where ships load or unload. This is a revised version of the July 2012 map layer.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Academics & scientific researchers,
Alabama,
Arizona,
Arkansas,
California, All tags...
Colorado,
Connecticut,
Conservation NGOs,
Data,
Delaware,
District of Columbia,
EARTH SCIENCE > HUMAN DIMENSIONS > INFRASTRUCTURE > TRANSPORTATION,
Federal resource managers,
Florida,
Georgia,
Harbors,
Hawaii,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
LCC Network Science Catalog,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Ports,
Puerto Rico,
Regional & county planners,
Rhode Island,
South Carolina,
South Dakota,
State agencies,
Tennessee,
Texas,
Transportation,
U.S. Virgin Islands,
US,
United States,
Utah,
Vermont,
Virgin Islands,
Virginia,
Washington,
West Virginia,
Wisconsin,
Wyoming,
completed,
transportation, Fewer tags
This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Alabama,
Alabama,
Alaska,
Arizona, All tags...
Arkansas,
California,
Coastal waters,
Coastal waters,
Colorado,
Connecticut,
Conservation NGOs,
Data,
Deepwater habitats,
Deepwater habitats,
Delaware,
District of Columbia,
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS,
Federal resource managers,
Florida,
Florida,
Floridia,
Georgia,
Guam,
Hawaii,
Hydrography,
Hydrography,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
LCC Network Science Catalog,
Louisiaina,
Louisiana,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Mississippi,
Missouri,
Montana,
NWI,
NWI,
National Wetlands Inventory,
National Wetlands Inventory,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Puerto Rico,
Regional & county planners,
Rhode Island,
Saipan,
South Carolina,
South Dakota,
State agencies,
Surface water,
Surface water,
Swamps, marshes, bogs, fens,
Swamps, marshes, bogs, fens,
Tennessee,
Texas,
Texas,
U.S. Fish and Wildlife Service,
U.S. Fish and Wildlife Service,
USFWS,
USFWS,
United States,
Utah,
Vermont,
Virgin Islands,
Virginia,
Washington,
West Virginia,
Wetlands,
Wetlands,
Wisconsin,
Wyoming,
completed,
environment,
environment,
geoscientificInformation,
geoscientificInformation,
inlandWaters,
inlandWaters,
oceans,
oceans, Fewer tags
This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
Categories: Data;
Tags: Bad River,
Clinton River,
Cuyahoga River,
Environmental Health,
Fox River, All tags...
Genesee River,
Grand River,
Great Lakes,
Indiana,
Indiana Harbor canal,
Lake Erie,
Lake Huron,
Lake Michigan,
Lake Ontario,
Lake Superior,
Limnology,
Maumee River,
Michigan,
Milwaukee River,
Minnesota,
New York,
Ohio,
Oswego River,
River Rouge,
Saginaw River,
St. Joseph River,
St. Louis River,
USGS Science Data Catalog (SDC),
Vermilion River,
Water Resources,
Wisconsin,
contamination and pollution,
dissolved contaminants,
emerging contaminants,
inlandWaters,
legacy contaminants,
passive samplers,
pesticides,
surface water,
surface water quality,
water chemistry, Fewer tags
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