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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.

Filter Total Items: 10348

MODFLOW-6 model to update and extend the Los Angeles Coastal Plain Groundwater Model

The Los Angeles Coastal Plain (LACP) covers about 580 square miles and is the largest coastal plain of semiarid southern California. The LACP is heavily developed with mostly residential, commercial, and industrial land uses that rely heavily on groundwater for water supply. In 2010, the LACP was home to about 14 percent of California’s population and is also a major commercial and industrial hub.

Satellite precipitation estimates for selected locations in the Republic of the Marshall Islands

The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty atolls and islands, most of which are inhabited, dispersed across an exclusive economic zone (EEZ) over 2 million square kilometers. This data release contains files of daily precipitation estimates beginning in 2001 for 23 inhabited sites in

Multichannel sparker and chirp seismic reflection data collected offshore South East Alaska during USGS Field Activity 2017-621-FA

High-resolution multichannel seismic reflection data and chirp sub-bottom data were collected by the U.S. Geological Survey in July and August 2017 offshore southeast Alaska to expand data coverage along the Queen Charlotte Fault system. Data were acquired to study earthquake hazards, fault mechanics and submarine mass wasting processes along the Queen Charlotte fault system, a 1200 km long transf

Datasets of Suspended Sediment Concentration and Percent Fines (1973–2021), Sampling Information (1973–2021), and Daily Streamflow (1928–2021) for Sites in the Lower Mississippi and Atchafalaya Rivers

Datasets of suspended sediment concentration and percent fines, sampling information, and daily streamflow data were compiled and harmonized for 16 sites to better understand sediment transport and delivery in the Lower Mississippi and Atchafalaya Rivers. The compiled data were harmonized by removing unnecessary columns, screening data for laboratory or sampling issues, creating consistent entries

U.S. range-wide spatial prediction layers of lek persistence probabilities for greater sage-grouse

This dataset contains two predictive lek (breeding site) persistence raster layers covering the U.S. greater sage-grouse distribution. In the United States, locations where males display and breed with females (i.e., leks) are often monitored annually by state wildlife agencies, providing valuable information on the persistence of birds in the surrounding areas. A U.S. range-wide lek database was

Training dataset for NABat Machine Learning V1.0

Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scalab

Light model and GPP estimates for 173 U.S. rivers

This data release contains products from Savoy & Harvey (2021) which modeled photosynthetically active radiation and gross primary productivity (GPP) for 173 streams and rivers across the continental United States. Estimates of photosynthetically active radiation (PAR) were generated using a model that considers the contribution of light attenuation from riparian zones as well as within the water

National Water-Well Database (NWWDB): Minnesota

This U.S. Geological Survey (USGS) data release represents the Minnesota component of the National Water-Well Database (NWWDB). The NWWDB is a compilation of water-well records from state-managed databases that have been standardized to a common format for consistency across state and administrative boundaries. Water-well completion reports that are submitted to permitting state agencies by licens

Supplemental Data: Estimated effects of pumping on groundwater storage and Walker River stream efficiencies in Smith and Mason Valleys, west-central Nevada

This USGS data release consists of 15 geospatial datasets for Smith Valley and Mason Valley, west-central Nevada, including contours representing groundwater levels based on depth-to-water measurements, groundwater-level change rasters calculated from groundwater-level contours, groundwater-level change rasters calculated from depth-to-water point values, and groundwater monitoring well locations

Data for the 1976 report Geohydrology of Smith Valley, Nevada, with special reference to the water-use period 1953-72

This U.S. Geological Survey data release contains data for Smith Valley, Nevada, digitized from plate 2 of the 1976 publication: Rush, F.E.,and Schroer, C.V., 1976, Geohydrology of Smith Valley, Nevada with special reference to the water-use period 1953-72: Nevada Department of Conservation and Natural Resources Water Resources Bulletin 43, 43p. Data are for spring 1972 and include groundwater-lev

Data for the 2009 report Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada

This U.S. Geological Survey data release contains data for Smith and Mason Valleys, California and Nevada, from the 2009 publication: Lopes, T.J.,and Allander, K.K., 2009, Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada: U.S. Geological Survey Scientific Investigations Report 2009–5155, Data include (1) 1:

Lower Salinas Valley Hydrologic Models: Climate Data

This digital dataset contains the climate data used for the Lower Salinas Valley Hydrologic Models (Salinas Valley Integrated Hydrologic Model (SVIHM) and Salinas Valley Operational Model (SVOM)). The monthly climate data for the Lower Salinas Valley Hydrologic Models are based on the regional climate data for the Salinas Valley Hydrologic System [Hevesi and others, 2022]. To develop the monthly c