Data Releases

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for Lake, Marion, and Orange Counties, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of

A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the fourteen counties that are fully or partially within the Suwannee River Water Management District, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Pol

This data release supersedes version 2.0, published in September 2021 at https://doi.org/10.5066/P99DIQZ5. Versioning details are documented in the accompanying VersionHistory_P99MJ096.txt file. Various water column variables, including salinity, dissolved inorganic nutrients, pH, total alkalinity, dissolved inorganic carbon, radio-carbon isotopes were measured in samples collected using a Niskin-

Accurate data and maps of sea floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. To address these concerns the U.S. Geological Survey, in cooperation with the Massachusetts Office of Coastal Zone Management (CZM), comprehensively mapped the Cape Cod Bay sea floor to characterize

These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program. This dataset consist of observations of sea otter (Enhydra lutris) fecal samples (spraint). Observers examined fresh spraint piles to identify major prey classes in the samples and to determine sea otter diets in the Gulf of Alaska region.

These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program and describe mussel sampling and observations conducted in the northern Gulf of Alaska. This dataset consists of six comma separated files (.csv): 1) mussel sampling site layout information, 2) mussel counts for mussels greater than 20 millimeters in a quadrat, 3) mussel size measurements for mussels greater than 20 mi

Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 1, 2017 through September 30, 2022 (water years 2018 through 2022). Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 38 tributaries in the Scituate Reservoir drainage area, Rhode Island. These data were used

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 7 Collection 2 images. These images were selected at random from the Landsat 7 SLC-On archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful

This data release includes montorting data collected by the U.S. Geological Survey (USGS) Humboldt Bay Water Quality and Salt Marsh Monitoring Project. The datasets include continuous water levels collected at a 6-minute timestep collected in two study marshes (Mad River and Hookton). Surface deposition, elevation changes and carbon storage (in marsh edge environments) measured in five USGS study

This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random Forest models with landscape data for small streams (≤ 200 km2 in upstream drainage) across the Chesapeake Bay Watershed (CBW). Predictions were made at eight time periods (2001, 2004, 2006, 2008, 2011, 201

This dataset provides groundwater ages estimates that were used in an assessment of the penetration depth of modern groundwater in the Central Valley aquifer system (CVAL). Groundwater ages were estimated by calibration of environmental tracers (tritium, tritiogenic helium-3, chlorofluorocarbons, sulfur hexafluoride, carbon-14 and radiogenic helium-4) to lumped parameter models (LPMs) for samples

This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank move