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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Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025) Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins (ver. 2.0, July 2025)
This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated...
DataRetrieval.jl DataRetrieval.jl
DataRetrieval.jl is a Julia alternative to the R dataRetrieval package for obtaining USGS water data directly from web services.
MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico
The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM?s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an...
GSFLOW, used to run PRMS and MODFLOW-NWT models, to simulate the effects of natural and anthropogenic impacts on water resources in the Rio San Jose Basin and surrounding areas, New Mexico GSFLOW, used to run PRMS and MODFLOW-NWT models, to simulate the effects of natural and anthropogenic impacts on water resources in the Rio San Jose Basin and surrounding areas, New Mexico
The Rio San Jose Integrated Hydrologic Model (RSJIHM) is a sequentially linked, integrated hydrologic model utilizing the Precipitation-Runoff Modeling System (PRMS) (version 5.2.0) and MODFLOW-NWT (version 1.2.0) that was developed to provide a tool for analyzing the hydrologic system response to historical water use and potential changes in water supplies and demands in the Rio San...
MODFLOW-NWT model used to assess historical and future trends in groundwater availability in the Trinity River alluvium aquifer, Texas MODFLOW-NWT model used to assess historical and future trends in groundwater availability in the Trinity River alluvium aquifer, Texas
The U.S. Geological Survey, in cooperation with the Trinity River Authority, the Tarrant Regional Water District, the City of Dallas, and the North Texas Municipal Water District, constructed a finite-difference numerical groundwater-flow model of the Trinity River alluvium aquifer using MODFLOW with the Newton formulation solver (MODFLOW-NWT). This model, along with a surface water...
Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system...
Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, June 13–22, 2022 Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, June 13–22, 2022
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers on the periphery of Missouri, June 13-22, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping...
Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 19-26, 2021 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 19-26, 2021
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system...
Drilling, construction, geophysical data, and lithologic logs for borehole USGS 152 Drilling, construction, geophysical data, and lithologic logs for borehole USGS 152
In 2019 and 2020, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy (DOE) for Naval Reactors Laboratory Field Office or Naval Reactors Facility (NRF), drilled and constructed borehole USGS 152 (433906112553401) for seismic and stratigraphic framework analyses at the Idaho National Laboratory (INL) near the NRF, located in southeastern Idaho. Borehole...
Humpback chub (Gila cypha) capture histories and growth data for two areas in the Colorado River network from 2009-2022 and 2017-2022 Humpback chub (Gila cypha) capture histories and growth data for two areas in the Colorado River network from 2009-2022 and 2017-2022
These data were compiled for a manuscript entitled 'Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon. Objective(s) of our study were to compare survival and growth of humpback chub in western Grand Canyon to that from the more established metapopulation in eastern Grand Canyon that spawns in the Little Colorado River (LCR). These data represent capture...
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021
These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide...
Tri-axial acceleration data from California condors (Gymnogyps californianus), California, USA Tri-axial acceleration data from California condors (Gymnogyps californianus), California, USA
We outfitted nine condors in a flight pen with patagial tags, each with a unique ID, and a proprietary solar powered Global Positioning System-Global System for Mobile Communications (GPS-GSM) telemetry device weighing 50 g (Cellular Tracking Technologies, LLC, Rio Grande, NJ). The units collected tri-axial acceleration data at a rate of 20 Hz. Data were transmitted once daily over...