Data
Browse real-time data, data releases and more.
All Data
All Data
Filter Total Items: 13173
Airborne electromagnetic and magnetic survey of the Alabama Graphite-Vanadium Belt and surrounding regions, 2023
Airborne electromagnetic (AEM) and magnetic survey data were collected during March and April 2023 over a distance of 9,000 line kilometers in east central Alabama. Data were acquired by SkyTEM Canada Inc. with the SkyTEM 306HPM time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was acquired at a nominal flight height of 35 -
Plankton occurrence in the Willamette River, Portland, Oregon
This data release contains plankton sampling results collected in the Willamette River in Portland, Oregon. The data release will be updated with new results as they are collected. All samples collected on 05/14/2024 were from USGS station 453027122400000 (Willamette River below the Holgate Channel). Water temperature, specific conductance, dissolved oxygen, pH, and chlorophyll and phycocyanin flu
Waterfowl (Anatidae) Brood Data, Maine, 1977 – 1994
Our data include detailed information about 12 species of Anatidae broods encountered on four study areas in Maine during 1977–1994 as one dataset. The second dataset provides the characteristics of the wetlands which were monitored during the studies. The third dataset enumerates the effort (such as numbers of visits to each wetland) to determine numbers of broods and the number of young that rea
Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests
These data have been collected by a collaborative and coordinated research network, SPARCnet (Salamander Population and Adaptation Research Collaboration network). We collected these data to examine patterns in seasonal and latitudinal variation in population density. This data can be used to estimate local salamander biomass, correcting for imperfect detection, and then compare these to estimates
Timing of Occurrence of Waterfowl in U.S. Counties and Canadian Counties, Boroughs, Census Districts, and Other Populated Area Designations with Modeled Exposure Status to Highly Pathogenic Avian Influenza Virus in 2021-2022
This data provides county level occurrence information for all individuals used in modelling potential exposure and spread of highly pathogenic avian influenza (HPAIv) from the 2021-2022 North American outbreak. The data set contains individual identifiers and taxa information, an indicator of exposure, exposure status (Susceptible, Exposed by HPAIv detection in the county, or Exposed by secondary
Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024)
This volume's release consists of 46576 media files captured by autonomous wildlife monitoring devices under the project, Dartmouth College Woodlands Wildlife Monitoring Project. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual
Projected mangrove distribution and ecosystem properties in the southeastern United States under climate change
We evaluated changes in mangrove distribution and ecosystem properties in the southeastern United States under climate change using known climate-ecological relationships, recent climate data for the period 1981-2010, and future projected climate data for the period 2071-2100 under two Shared Socio-economic Pathways (SSPs): the SSP2-4.5 and SSP5-8.5 scenarios, which correspond to intermediate and
Silvio O Conte National Fish and Wildlife Refuge Wildlife Monitoring Project (2014 - 2024)
This volume's release consists of 90364 media files captured by autonomous wildlife monitoring devices under the project, Silvio O Conte National Fish and Wildlife Refuge Wildlife Monitoring Project. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time o
Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
These data contain the supplementary results corresponding with the journal article: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends by Udell et al. (2024) in Ecological Monographs. These results contain the findings from the North American Bat Monitoring Program's (NABat) "Summer Abundance Status and Trends" analyses which used
Geospatial Fabric for National Hydrologic Modeling, Hawaii Domain
The Geospatial Fabric is a dataset of spatial modeling units for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Alaska, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related datasets created to expand the National Hydrologic Model to Hawaii.
T
Monthly Ensemble Mean Evapotranspiration (EMET) Product for the Los Planes basin in Baja California Sur, Mexico from January 2006 through December 2021: U.S. Geological Survey Data Release
Estimates of actual evapotranspiration (ETa) are valuable for effective monitoring and management of water resources. In areas that lack a ground-based monitoring network, remote sensing allows for accurate and consistent estimates of ETa across a large spatial extent – though each algorithm has limitations (i.e., ground-based validation, temporal consistency, spatial resolution). We developed an
Model Archive and Hydraulic and Fluvial Egg Drift Simulator (FluEgg) Results for Simulations of Grass Carp Eggs and Larval Drift in the Lower Sandusky River, Ohio
The U.S. Geological Survey simulated the drifts of grass carp eggs in the lower Sandusky River, Ohio, using the Fluvial Egg Drift Simulator (FluEgg) (Garcia and others, 2013; Zhu, 2019). The hydraulic inputs used in the FluEgg simulations were generated using a one-dimensional (1D) Hydrologic Engineering Center-River Analysis System (HEC-RAS) 5.0.3 model of the lower Sandusky River (HEC-RAS, 202