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Data

The USGS Water Resources Mission Area provides water information that is fundamental to our economic well-being, protection of life and property, and effective management of our water resources. Listed below are discrete data releases and datasets produced during our science and research activities. To explore and interact with our data using online tools and products, view our web tools.

Filter Total Items: 720

Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024)

This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow...

Data for simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States Data for simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States

This dataset contains files used in this Monte Carlo simulation study comparing the performance of five statistical models for adjusting design floods for current conditions at sites with known trends. These files include (i) the observed annual peak-flow series in the conterminous US used to inform ranges of known moments and trends used in the simulation experiment, (ii) the 3,000...

Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning (Provisional Data Release) Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning (Provisional Data Release)

These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the...

Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)

Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found...

Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)

This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each...

Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification

The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were...

Predicted Streamflow Modification in Contiguous United States Streams Predicted Streamflow Modification in Contiguous United States Streams

Empirical models described in previous publications were developed and applied to estimate the probability of streamflow modification for every stream segment in the conterminous United States from 1980-2015. This metadata record documents 6 comma separated tables populated with predictions of streamflow modification (please see the Supplemental Element for citations or please refer to...

Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States

Benthic diatom assemblages are known to be indicative of water quality but have yet to be widely adopted in biological assessments in the United States due to several limitations. Our goal was to address some of these limitations by developing regional multi-metric indices (MMIs) that are robust to inter-laboratory taxonomic inconsistency, adjusted for natural covariates, and sensitive...

Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling Functional Flow Metrics for Select Reference Sites in California: Data Release for Modeling

The hydrologic modeling approach used to predict functional flows relies on daily streamflow data from gages operated by the U.S. Geological Survey (USGS) in California. This dataset contains, for each of 219 gages, a collection of metrics computed on each water year for the period of record to and including Water Year 2016.

Geochemical and Geophysical Characteristics of the Conterminous U.S. Geochemical and Geophysical Characteristics of the Conterminous U.S.

This dataset is a collection of 12 rasters depicting geochemical and geophysical characteristics of surface or near surface geology. These rasters were created to quantify the influence of geology on surface and critical zone processes like stream water chemistry, soil formation, ecologic processes, and species distributions by providing estimates of spatial variability in current...

Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming (ver. 2.0, March 2025) Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming (ver. 2.0, March 2025)

There are over 10,000 hydrothermal features in Yellowstone National Park (YNP), where waters have pH values ranging from about 1 to 10 and surface temperatures up to 95 °C. Active hydrothermal areas in YNP provide insight into a variety of processes occurring at depth, such as water-rock and oxidation-reduction (redox) reactions, the formation of alteration minerals, and microbial...

Model-Estimated, Spatially Distributed Monthly Water Balance of the Upper Colorado River Basin, Water Years 1913-2017 Model-Estimated, Spatially Distributed Monthly Water Balance of the Upper Colorado River Basin, Water Years 1913-2017

Dataset was generated by performing water-balance computations for the Upper Colorado River Basin for the months October 1913 through September 2017. The basin area was first divided into 17,626 4-kim grid cells, and these were then grouped by sub-basin and annual precipitation into 960 subareas; the dataset includes a lookup table for this grouping. For each of the 960 subareas, the...
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