Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Locations and Properties of Ice-Exposing Scarps and New Impact Craters in the Mid-Latitudes of Mars
Although ice in the Martian mid-latitudes is typically covered by a layer of dust or regolith, it is exposed in some locations by fresh impact craters or in erosional scarps. In both cases, the exposed ice is massive or excess ice with a low lithic content. We find that erosional scarps occur between 50-61 north and south latitude, and that they are concentrated in and near Milankovi crater in the
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Wind Energy Influence
Through the North American Bat Monitoring Program, United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services' Species Status Assessment ("SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call, provided data ar
Data and analysis for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska
This data release contains the analytical results of a spatial analyses for the resource potential of sediment-hosted Pb-Zn (lead-zinc) deposits in the state of Alaska. Sediment-hosted Pb-Zn deposits in Alaska include those contained in carbonate rock and in clastic-dominated sequences. The geographic information system (GIS) analysis queried three publicly available statewide datasets in areas de
Water Quality data compiled for Groundwater development leads to decreasing arsenic concentrations in the San Joaquin Valley, California
Groundwater arsenic concentrations in the San Joaquin Valley have varied over the decades from 1980 to 2019. This report was compiled to determine whether arsenic concentrations are increasing or decreasing and the mechanism controlling the trends. The San Joaquin Valley contains 4,979 wells with arsenic analyses and possible co-detections of any of the following constituents: dissolved oxygen, fi
Data release for Oxygen isotopes in terrestrial gastropod shells track Quaternary climate change in the American Southwest
Recent studies have shown the oxygen isotopic composition (delta18O) of modern terrestrial gastropod shells is determined largely by the delta18O of precipitation. This implies that fossil shells could be used to reconstruct the delta18O of paleo-precipitation as long as the hydrologic pathways of the local watershed and the shell isotope systematics are well understood. In this study, we measured
Mapping of 101 agricultural pesticides annually for 2013-2017 for the conterminous United States
This dataset consists of a series of 1-kilometer rasters which provide a mapping of the estimated use of 101 agricultural pesticide compounds for the conterminous United States. Each compound is mapped annually for the years 2013 through 2017, thus there are 505 rasters posted (101 compounds x 5 years). The datasets were created by taking previously-published county-level estimates of kilograms of
Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution
This imagery dataset consists of 3 meter resolution, Lidar-derived imagery of the Winchester 30 x 60 minute quadrangle in northern Virginia, West Virginia, and western Maryland. The source data used to construct this imagery consists of 1 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2011 and 2019. T
Map data from landslides triggered by Hurricane Maria in three study areas in the Lares Municipality, Puerto Rico
In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Lares municipality in central-western Puerto Rico was severely impacted by landslides. Landslide density in this region was mapped as greater than 25 landslides/km2 (Bessette-Kirton et al., 2019). In order to better understand the controlling variables of lands
Displacement and strain field from the 2019 Ridgecrest earthquakes derived from analysis of WorldView optical satellite imagery (ver. 2.0, May 2021)
This Data Release contains co-seismic horizontal and vertical displacements of the 2019 Ridgecrest earthquakes derived from sub-pixel cross correlation of WorldView satellite optical imagery. Additionally, the dataset contains the 2-dimensionsal (2D) and 3-dimensional (3D) surface strain fields, inverted from the surface displacements. Associated publication: Barnhart, W.D., Gold, R.D., Hollingsw
Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018
This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laborator
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suit
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and