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Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

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Ellsworth Huntington’s (1914) Giant Sequoia Ages and Tree-Ring Measurements from 458 Stumps in Sequoia National Forest and Mountain Home Grove Ellsworth Huntington’s (1914) Giant Sequoia Ages and Tree-Ring Measurements from 458 Stumps in Sequoia National Forest and Mountain Home Grove

These data include giant sequioa (Sequoiadendron giganteum) age and tree-ring data from measurements on 458 stumps. The original data were recorded on paper data sheets by Ellsworth Huntington and his assistants in 1911 and 1912; their methods are elaborated in Huntington (1914), and further details can be found in Stephenson and Demetry (1995). We entered the data from photocopies of...

Daily reference and potential evapotranspiration, and supporting meteorological data from the Weather Research and Forecasting (WRF) model, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Southeastern Unit Daily reference and potential evapotranspiration, and supporting meteorological data from the Weather Research and Forecasting (WRF) model, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Southeastern Unit

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 1-kilometer spatial grid and a daily time-scale from January 1, 2023 to December 31, 2023 for Florida, Alabama, Georgia, South Carolina, and parts of Mississippi, North Carolina, and Tennessee. PET and ETo were computed, using the Priestley-Taylor equation and the FAO Penman...

Daily reference and potential evapotranspiration, and supporting meteorological data from weather stations, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2023 Daily reference and potential evapotranspiration, and supporting meteorological data from weather stations, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2023

Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2023 to December 31, 2023 for the entire State of Florida. PET and ETo were computed,using the Priestley-Taylor equation and the FAO Penman-Monteith...

Data and model code used to evaluate a process-guided deep learning approach for in-stream dissolved oxygen prediction Data and model code used to evaluate a process-guided deep learning approach for in-stream dissolved oxygen prediction

This model archive contains data and code used to assess the use of process-informed multi-task deep learning models for predicting in-stream dissolved oxygen concentrations. Three holdout experiments were run to assess model performance, including a temporal holdout experiment, a spatial holdout experiment with similar sites held out, and a spatial holdout experiment with dissimilar...

Survey results for yellow-billed Cuckoo occupancy and nesting in xeroriparian habitat in southeastern Arizona from 2013 through 2020 Survey results for yellow-billed Cuckoo occupancy and nesting in xeroriparian habitat in southeastern Arizona from 2013 through 2020

These data were compiled to investigate the distribution and breeding status of yellow-billed cuckoos (Coccyzus americanus) in southeastern Arizona xeroriparian habitat by comparing the results of standardized call-playback surveys to the results of nest searching efforts in the same sites from 2018 to 2020. The primary purpose of the study associated with these data was to determine and...

High resolution natural color imagery collected by uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 7-mile reach of the Middle Green River at Horseshoe Bend near Jensen, Utah from 2020-2023 High resolution natural color imagery collected by uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 7-mile reach of the Middle Green River at Horseshoe Bend near Jensen, Utah from 2020-2023

The U.S. Geological Survey collected low-altitude airborne natural color imagery via a fixed-wing uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 7-mile reach of the Middle Green River at Horseshoe Bend near Jensen, UT. Visual imagery was collected in jpg format and Structure-from-Motion (SfM) photogrammetry techniques were applied (Over et al., 2021)...

Laser Rangefinder Data for Surficial Mass Movements in the Cascades Laser Rangefinder Data for Surficial Mass Movements in the Cascades

A laser rangefinder was used to record surficial mass movements at Cascades volcanoes and an experimental debris flow flume. Mass movements such as large lahars and smaller seasonal debris flows can occur at volcanoes in the Cascades. A combination of seismic, infrasound, tripwires, and webcams can be used to detect and characterize these flows. A laser rangefinder can be placed on the...

Monthly and Annual population and water withdrawal maps of Rhode Island 2014-2021 Monthly and Annual population and water withdrawal maps of Rhode Island 2014-2021

This data release consists of multi-band 30-meter x 30-meter pixel rasters of estimated population and domestic self-supplied water withdrawals in Rhode Island between July 2014 and June 2021. Population raster data were generated using a national data product of 2010 population spatially distributed across land cover data and U.S. Census Bureau data of population growth estimates to...

Lower Salinas Valley Hydrologic Models: Future Climate Data Lower Salinas Valley Hydrologic Models: Future Climate Data

This digital dataset contains the gridded future climate data used for the Lower Salinas Valley Hydrologic Models. The monthly climate data for Lower Salinas Valley Hydrologic Models are based on the Salinas and Carmel River Basins Study (SCRBS) future climate scenarios [Henson and others, 2024). SCRBS considers one baseline climate scenario that represents recent historical climate...

Data for Gull-billed Tern and Black Skimmer Bayesian Network Model - Soil Textures and Topography Index Data for Gull-billed Tern and Black Skimmer Bayesian Network Model - Soil Textures and Topography Index

This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for characterizing the soil texture and topography that may be relevant to Black Skimmer and Gull-billed tern nesting on bare ground sites across the U.S. portion of the Gulf of Mexico. These data characterize soil texture (e.g., sand or shell, loam), elevation, and distance to mean higher high water...

Data for Gull-billed Tern and Black Skimmer Bayesian Network Model Data for Gull-billed Tern and Black Skimmer Bayesian Network Model

This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the creation and application of a Bayesian network model that predicts Black Skimmer (Rynchops niger) and Gull-billed Tern (Gelochelidon nilotica) on bare ground sites across the U.S. portion of the Gulf of Mexico. Management plans with clear priorities can help to achieve Black Skimmer and Gull...

Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2022 High-resolution mapping surveys Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2022 High-resolution mapping surveys

Broad-area, high-resolution, boat-based water quality mapping surveys of the Sacramento-San Joaquin Delta and Suisun Bay (Delta) of California, USA were conducted under different environmental/flow conditions in May, July, and October of 2022. The spatial and temporal variability of nutrients, phytoplankton, and related water quality parameters were assessed. This dataset includes...
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