GeoSTAC Data Summary

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Vector Spatial Datasets

Administrative and Infrastructure Boundaries
  1. Agriculture Census Districts: This data set is the spatial representation of the Agriculture Statistical Districts, also called Crop Reporting Districts, as delineated in the 2002 Census of Agriculture by the National Agricultural Statistics Service, U.S. Department of Agriculture.
  2. Cities: This map layer includes cities in the United States, Puerto Rico and the U.S. Virgin Islands.These cities were collected from the 1970 National Atlas of the United States.
  3. County Boundaries: This data set portrays the state and county boundaries of the US.The data set was created by extracting county polygon features from the individual 1:2,000,000-scale County boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey.
  4. Federal Lands: This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands.
  5. Roads: This data set portrays the major roads in the United States, Puerto Rico, and the U.S. Virgin Islands.
  6. State Boundaries This data set portrays the State boundaries of the United States of America. The data set was created by extracting the State boundary polygons from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey.
  7. Urban Areas This data set includes a selection of urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW).
  8. Wilderness Areas This map layer consists of National Wilderness Preservation System areas of 640 acres or more, in the United States, Puerto Rico, and the U.S. Virgin Islands.
  9. Zip Codes This data set is a U.S. continental level compilation of The U.S. Census Bureau's 2000 5-Digit ZIP Code Tabulation Areas (ZCTAs).
  10. Public Land Survey System (PLSS): This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data. The locations of Public Land Survey System (PLSS) corners, as represented in geographic coordinate pairs, were derived from a variety of source documents, which include U.S. General Land Office and BLM survey plats/notes, as well as survey data obtained from other U.S. Government agencies, private sector survey firms, and local governments. The attributes assigned to PLSS polygons were taken from the BLM's Legal Land Description (LLD) data set, contained within the Legacy Rehost for the year 2000 (LR2000) automated records system. The Land Survey Information System Data Base (LSIS) data is a useful representation of the geometry and topology of parcels contained within the PLSS, but its application is intended for mapping purposes only.
  11. Common Land Units (CLUs): The common land unit (CLU) dataset consists of digitized farm tract and field boundaries and associated attribute data. The USDA Farm Service Agency (FSA) defines farm fields as agricultural land that is delineated by natural and man-made boundaries such as road ways, tree lines, waterways, fence lines, etc. Field boundaries are visible features that can be identified and delineated on aerial photography and digital imagery. Farm tracts are defined by FSA as sets of contiguous fields under single ownership.
Enhanced River Reach File (ERF_1v2) Datasets
  1. ERF_1v2 Watersheds: ERF1v2 watersheds were originally created by USGS, based on U.S. Environmental Protection Agency's River Reach File 1 (RF1). These watersheds are a consistent national layer of drainage areas corresponding to RF1 segments. The digital segmented network based on watershed boundaries, ERF1_2, includes enhancements to the U.S. Environmental Protection Agency's River Reach File 1 (RF1) (USEPA, 1996; DeWald and others, 1985) to support national and regional-scale surface water-quality modeling.
  2. ERF_1v2 Watershed Metrics: This dataset contains an analysis of agriculturally relevant watershed characteristics for the ERF_1v2 watersheds.
  3. ERF_1v2 Agricultural Margins: This dataset represents a nation-wide assessment of proximity of agricultural fields to water bodies summarized by ERF_1v2 watersheds. The National Agricultural Statistics Service, 2002 Census of Agriculture was used to estimate the amount of individual crops grown within the surface water margins, and within each watershed.
  4. ERF_1v2 Corn Margins: This dataset represents a nation-wide assessment of proximity of agricultural fields in corn to water bodies summarized by ERF_1v2 watersheds. The National Agricultural Statistics Service, 2002 Census of Agriculture was used to estimate the amount of corn grown within the surface water margins, and within each watershed.
  5. ERF_1v2 Cotton Margins: This dataset represents a nation-wide assessment of proximity of agricultural fields in cotton to water bodies summarized by ERF_1v2 watersheds. The National Agricultural Statistics Service, 2002 Census of Agriculture was used to estimate the amount of cotton grown within the surface water margins, and within each watershed.
  6. STATSGO ERF_1v2 County Intersect: This data set is a compilation of STATSGO soils, ERF1 (Version 1.2) watersheds, and County jurisdictional boundaries. The polygons of this compilation are attributed with characteristics from each of three input data sets.
Watershed Boundaries (HUCs)
  1. Watershed Boundaries for the United States: 8-digit hydrologic unit boundaries for the continental United States
  2. Detailed Watershed boundaries for the Midwest and Eastern United States: This data set compiles the 11 digit or 8 digit Hydrologic Cataloging Unit (HUC) for 37 states in the eastern and mid-western United States into one spatial data set.
  3. Detailed Watershed Boundaries for Individual States: 12-digit and 14-digit hydrologic unit boundaries for the following states were collected: AL, CA, CT, GA, IA, ID, IL, IN, KS, KY, MA, MD, MI, MN, MO, NC, NH, NJ, NY, OH, SC, TN, UT, VA, VT, WA, WV, WY.
Natural Resources
  1. National Hydrography Dataset (NHD): The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that comprise the nation's surface water drainage system. Medium resolution NHD data was collected for all of the lower 48 states.
  2. Ecological Regions: This map layer is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands.
  3. Land Resource Regions: This coverage contains the Land Resource Regions (LRR) boundaries for the conterminous United States. LRR boundaries were derived from the Major Land Resource Area (MLRA) boundaries for the conterminous United States compiled by the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS), and last updated in 2002.
  4. Major Land Resource Areas: This coverage contains the Major Land Resource Area (MLRA) boundaries for the conterminous United States. MLRA boundaries were last updated by the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS), formerly the Soil Conservation Service (SCS), in 2002.
  5. NAWQA Cycle 1 Boundaries: This is coverage of the boundaries and codes used for the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program Study-Unit investigations in the conterminous United States, excluding the High Plains Regional Ground-Water Study. The data set represents the areas studied during the first decade of the NAWQA Program, from 1991-2001 ("cycle 1").
  6. NAWQA Cycle 2 Boundaries: This is coverage of the boundaries and codes used for the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program Study-Unit investigations in the conterminous United States, excluding the High Plains Regional Ground-Water Study. The data set represents the areas studied during the first decade of the NAWQA Program, from 2001-2012 ("cycle 2").
  7. Natural Resources Inventory Polygons: Exact locations of NRI sampling points are not publicly available, but they are identified according to presence in a county, MLRA, and hydrologic unit area. This data layer combines those three data sets, as well as Federal Lands, to produce spatial representation for NRI results.
  8. USGS Surface Water Gages: This dataset represents the spatial location of USGS surface water gauge sites collecting flow and levels in streams, lakes, and springs in all states.
  9. NRI STATSGO Polygon Intersection. This dataset represents the intersection of Natural Resources Inventory polygons and STATSGO polygons. This dataset allows for complex analysis or spatial datasets for pesticide risk assessment.
  10. STATSGO Soils Polygons: This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and non--soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped.
  11. National Wetland Inventory: NWI digital data files are records of wetlands location and classification as developed by the U.S. Fish & Wildlife Service. The data provide consultants, planners, and resource managers with information on wetland location and type.
  12. Ocean Resources Conservation Assessment: The Coastal Assessment Framework (CAF) is a digital spatial framework that provides a consistently derived, watershed-based, digital, spatial framework for managers and analysts to organize and present information on the Nation's coastal, near-ocean, and Great Lakes' resources. The Framework is composed of 115 Estuarine and Sub-estuarine Drainage Areas (EDAs) and 326 Coastal Drainage Areas (CDAs), and encompasses 83 percent of the land area within the contiguous United States.
  13. NHDPlus Production Units: This dataset contains the spatial boundaries of the NHDPlus production units. Download NHDPlus data.
Weather
  1. SAMSON Weather Station Points: Solar and Meteorological Surface Observation Network 1961-1990 (SAMSON) (NOAA) -- SAMSON is a compilation of National Renewable Energy Laboratory solar data and National Weather service hourly surface observations for the period 1961-1990. This data set consist of the latitude and longitude of the 237 SAMSON Weather Station vectorized in point format and assoicated Weather Station identification units.
  2. SAMSON Polygons: This dataset contains SAMSON weather station bounded by Major Land Resource Areas and Land Resource Regions.
  3. STATSGO – SAMSON Association Table: This tabular data set consists of STATSGO MUID and 237 SAMSON Weather Stations units. STATSGO soil polygons are assigned to the most appropriate SAMSON weather station for modeling purposes.
303(d) Clean Water Act Datasets
  1. 303(d) Listed River Segments: This dataset represents NHD reaches which have an associated Clean Water Act 303(d) listing.
  2. 303(d) Listed Points: This dataset represents points along NHD reaches associated with Clean Water Act 303(d) listed water bodies. Point events are attached to a reach in NHD to represent a TMDL for many reasons, including to represent an estuary, to represent a shellfish area. Point events represent point source dischargers, or, if there is no reach in NHD, they are used to represent the TMDL.
  3. 303(d) Listed Polygons: This dataset represents NHD water body polygons and the associated NHD reach that have an associated Clean Water Act 303(d) listing.

Raster Spatial Datasets

Land Cover
  1. 2002 Cropland Data Layer: This land cover dataset is part of a one-time series in which ten Mid-Atlantic States were categorized based on the extensive field observations collected during the 2002 annual NASS June Agricultural Survey. No farmer reported data is included or derivable from the Cropland Data Layer. The area of coverage for the 2002 Mid-Atlantic CDL includes the entire states of Connecticut, Delaware, Maryland, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, Virginia and West Virginia. The funding for this project was shared between the USDA-NASS and Towson State University.
  2. 2004 Cropland Data Layer: This datasets is a raster, geo-referenced, categorized land cover data layer produced using satellite imagery from the Thematic Mapper (TM) instrument on Landsat 5 and the Indiana Remote Sensing (IRS) Advanced Wide Field Sensor (AWiFS). The data layer is aggregated up to 16 standardized categories for display purposes with the emphasis being agricultural land cover. This dataset was collected for the following states: AR, IA, IL, IN, MO, MS, ND, WI.
  3. 2005 Cropland Data Layer: This datasets is a raster, geo-referenced, categorized land cover data layer produced using satellite imagery from the Thematic Mapper (TM) instrument on Landsat 5 and the Indiana Remote Sensing (IRS) Advanced Wide Field Sensor (AWiFS). The data layer is aggregated up to 16 standardized categories for display purposes with the emphasis being agricultural land cover. This dataset was collected for the following states: IA, IL, IN, ND, NE, WI.
  4. Cropland Data Layer Land Use Change: This dataset represents a raster overlay of all available years of Copland Data Layer datasets for a single state through 2008. The raster attribute table contains the crop classification code for each year. This dataset was compiled for the following states: IA, IL, IN, KS, MO, NE ,and OH
  5. Cropland Data Layer Crop Raster Mosaics: This dataset represents a mosaic of single crops or crop classes covering the full extent of the NASS Cropland Data Layer from the years 2002, 2004, and 2005. This represents all or a portion of the following states: Missouri (2004), Arkansas (2003), Louisiana (2004), Mississippi (2004), Connecticut (2002), Delaware (2002), Maryland (2002), North Carolina (2002), New Jersey (2002), New York (2002), Pennsylvania (2002), Rhode Island (2002), Virginia (2002), West Virginia (2002), Iowa (2005), Illinois (2005), Indiana (2005), North Dakota (2005), Nebraska (2005), Wisconsin (2005). The mosaics were constructed for corn, pasture, row crops, small grains, soybeans, and wheat.
  6. National Land Cover Dataset (NLCD) for Individual States, 1992: This dataset represents a nationally consistent land cover data set for the entire conterminous United States. These data can be used as a layer in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality and pesticide runoff, land use change, etc. The data has been collected for the lower 48 states for the time period representing both 1992.
  7. National Land Cover Dataset (NLCD) for Geographic Regions, 2001: This dataset represents a nationally consistent land cover data set for the entire conterminous United States. These data can be used as a layer in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality and pesticide runoff, land use change, etc. The data has been collected for 14 geographic regions covering the continental US for the time period representing 2001.
  8. Nationwide NLCD for Single Land Classes, 1992: This dataset represents national layers of single NLCD land classifications (e.g., “Row Crop”). These data layers have been developed for all 21 NLCD classifications and are useful in national assessment in pesticide risk assessment. This dataset has been compiled for the time period representing 1992.
  9. Nationwide NLCD for Single Land Classes, 2001: This dataset represents national layers of single NLCD land classifications (e.g., “Cultivated Cropland”). These data layers have been developed for all 17 NLCD classifications and are useful in national assessment in pesticide risk assessment. This dataset has been compiled for the time period representing 2001.
Weather
  1. PRISM Normal Annual Precipitation: This data set contains spatially gridded precipitation of average annual precipitation for the climatological period 1971-2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of SCAS/OSU.
  2. PRISM Normal Monthly Precipitation: This data set contains spatially gridded precipitation of average monthly precipitation for the climatological period 1971-2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of SCAS/OSU.
Soils
  1. Available Water Capacity: This dataset contains the available water capacity (AWC) in the top 100, 150, and 250 cm of soil, derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
  2. Bulk Density: This dataset was created by computing the mean bulk density for each layer of each component of each STATSGO map unit, and interpolating the results to a set of 11 standard layers.
  3. Dominant Rock Fragment: This dataset contains the dominant rock fragment class for each of 11 standard soil layers for the 48 conterminous states derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
  4. Dominant Soil Texture: This dataset was created by determining the dominant standard soil texture class for each standard layer of each map unit for each of the 48 conterminous states (mapunits for the District of Columbia are included under Maryland), and then joining the results for the 48 states into a single dataset.
  5. Soil Texture Fractions: This dataset contains the percent of sand, silt, and clay in the soil material which passes a No. 10 (2 mm) sieve for each of 11 standard soil layers for the 48 conterminous states.
  6. Hydrologic Soils Group Percent: This dataset contains the percent of each mapunit which is in each of the hydrologic soil group (HSG) classes, as reported in the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
  7. KFactor: The K-factor is used in the Universal Soil Loss Equation (USLE)and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall.
  8. Map Unit: This dataset contains information specifying the 10,500 mapunits defined for the 48 conterminous states for the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the USDA.
  9. Permeability: The mean permeability rate was determined for each of 11 standard layers for each map unit of each state using data from the STATSGO Comp and Layer tables.
  10. Soil pH: The mean pH was determined for each of 11 standard layers for each map unit of each state using data from the STATSGO Comp and Layer tables.
  11. Plasticity: The mean plasticity index was determined for each of 11 standard layers for each map unit of each state using data from the STATSGO Comp and Layer tables.
  12. Porosity: This dataset contains the mean porosity for each of 11 standard soil layers for the 48 conterminous states derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
  13. Depth to Bedrock: This dataset contains the mean depth to bedrock derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
  14. Rock Volume: This dataset contains the mean volumetric percent of rock for each of 11 standard soil layers for the 48 conterminous states derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.
Margins
  1. Agricultural Margins for Small Water Bodies: The area (margin) around ponds/reservoirs less than or equal to 5 acres in size was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology, and represents Agricultural and non-agricultural areas.
  2. Agricultural Margins for Large Water Bodies: The area (margin) around lakes/reservoirs greater than 5 acres in size was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology, and represents Agricultural and non-agricultural areas.
  3. Agricultural Margins for Wide Flowing Water Bodies: The area (margin) around river/canal perennial polygon water bodies was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology, and represents Agricultural and non-agricultural areas.
  4. Agricultural Margins for Narrow Flowing Water Bodies: The area (margin) around stream/canal perennial linear water bodies was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology, and represents Agricultural and non-agricultural areas.
  5. Margins for Small Water Bodies: The area (margin) around ponds/reservoirs less than or equal to 5 acres in size was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology.
  6. Margins for Large Water Bodies: The area (margin) around lakes/reservoirs greater than 5 acres in size was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology.
  7. Margins for Wide Flowing Water Bodies: The area (margin) around river/canal perennial polygon water bodies was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology.
  8. Margins for Narrow Flowing Water Bodies: The area (margin) around stream/canal perennial linear water bodies was generated at 60m, 120m, 360m, and 480m from National Hydrography Dataset (NHD) The margin dataset represents a grid of 30 m pixel buffer zones around the NHD hydrology.
ERF 1v2

ERF_1v2 Watersheds: This dataset contains a raster representation of the ERF1v2 watersheds. These watersheds are a consistent national layer of drainage areas corresponding to RF1 segments.

Hydrologic Landscape Regions (HLRs)

Hydrologic Landscape Regions: Hydrologic landscape regions (HLRs) in the United States were delineated by using geographic information system (GIS) tools and statistical methods including principal components and cluster analyses. The GIS and statistical analyses were applied to land-surface form, geologic texture (permeability of the soil and bedrock), and climate variables that describe the physical and climatic setting of 43,931 small (roughly 200 square kilometers) watersheds in the United States.

LS-Factor

LS-Factor: The Universal Soil Loss Equation (USLE) topographic factor (LS-Factor) was generated on a 30-m grid for HUC4 watersheds in agriculturally significant watersheds in the Midwestern United States. The dataset was generated using GIS methods and base datasets of topography, land use, and roads. The development of this dataset was based on conceptualizing the landscape as a "single-parcel" or homogeneous land unit (i.e., no distinction between different land covers). This assumption results in an conservative (i.e., longer) estimation of the slope length at each grid cell, and hence, a conservative estimation of the LS-factor.

Tabular Datasets

Ag Census 1997

1997 Census of Agriculture: National Agricultural Statistics Service (NASS), 1997 CENSUS OF AGRICULTURE. The Census of Agriculture is the leading source of facts and statistics about the Nation's agricultural production.

Ag Census 2002

2002 Census of Agriculture: National Agricultural Statistics Service (NASS), 2002 CENSUS OF AGRICULTURE. The Census of Agriculture is the leading source of facts and statistics about the Nation's agricultural production.

NRI 1997

1997 NRI: The National Resources Inventory (NRI) is a scientifically-designed, longitudinal panel survey of the Nation's soil, water, and related resources designed to assess conditions and trends every five years. The NRI is conducted by the Natural Resources Conservation Service (NRCS), an agency of the U.S. Department of Agriculture (USDA), in cooperation with the Iowa State University (ISU) Statistical Laboratory.

NRI Soils

1997 NRI Soils: This database contains U. S. Department of Agriculture's Soil Conservation Service’s extensive Soil Interpretations Records that may be linked to the points in the NRI database.

NCFAP 1997

1997 NCFAP Pesticide Use: The National Center for Food and Agricultural Policy (NCFAP) National Pesticide Use Database was issued in 1995 to provide comprehensive national and state level pesticide use data, circa 1992. In 2000, NCFAP released an update to the National Pesticide Use Database providing data circa 1997.

Statsgo

STATSGO Tabular: This database contains the all tabular data associated with The U.S. Department of Agriculture's (USDA) Natural Resources Conservation Service (NRCS) STATSGO data base. This soils database was designed for regional, multi-state, river basin, state, and multi-county resource planning, management, and monitoring.

Water/Ag Proximity

Proximity of Water to NLCD Agriculture: This database represents a nation-wide assessment of proximity of agricultural fields to water bodies summarized by watersheds.

CDL Crop Rotation

NASS CDL Crop Rotation Matrix: The NASS Crop Land Data Layer Rotation Matrix summarizes crop change in consecutive years by state. Crop rotations are provided for all available states for the years 2000, 2001, 2002, 2003, 2004, and 2005. In a GIS environment, the CDL is examined spatially to determine the amount of area in agricultural land changes on an annual basis. For example, the total area in which corn was grown in 2001 and subsequently had soybeans in 2002 (or sorghum, or sunflower, etc) for a given state, is provided. The results are provided in a tabular environment; specifically, as Microsoft Excel workbooks.

Endangered Species

Endangered Species Protection Program Database: This Access database houses the ES_County and Species Tables from the US EPA ESPP Database. The databases available here are the endangered species by county database (ES_COUNT.DBF) and the species information database (SPECIES.DBF). The databases here have been updated as of December 31, 1999. The Agency's Endangered Species Protection Program will release newer, updated files periodically.