All Data

This TX_LowerRioGrande_D22 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at an aggregate nominal pulse spacing (ANPS) of 0.18 meters (30 ppsm) and 0.35 meters (8ppsm). Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2022 Rev A. The data was developed based...

Rapid heating events, such as heatwaves, are becoming more frequent and intense as a result of climate change. Importantly, such extreme weather events can be more important drivers of extirpation and selection than changes in annual or seasonal averages and they pose a particularly large threat to poikilothermic organisms. In this study, we evaluate the thermal stress response of a...

This data release contains rasterized data sets of point values of site amplification for the Walnut Creek and Concord regions of the San Francisco east bay. Hartzell et al. (2024) covers the associated field work and the source-site inversion method used to obtain the site response spectra. Site amplification values are given for the geometric average over four frequency ranges (0.5 to...

DeepFaune New England (DFNE) is a model for species classification in trail camera imagery. This model is a re-trained version of the DeepFaune model for classifying European species in trial cameras, fine-tuned to classify taxa from northeastern North America. The DFNE model takes as input cropped images of each animal, which can be generated by an object detection model. DFNE...

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center’s (USGS SPCMSC) Core Archive in St. Petersburg, FL contains a collection of coral-reef cores collected from throughout the Florida Keys reef tract (FKRT; Fig. 1). In a previous study (Toth and Stathakopoulos, 2019), USGS researchers analyzed the upper, Holocene (~11,700 years ago to present) sections of those...

These lidar point clouds and images cover, in high detail, the terrain at Great Sippewissett Marsh, Cape Cod, MA on November 2nd, 2022. USGS researchers tested different sensors that collected lidar and images for photogrammetry point cloud data using Uncrewed Aerial Systems (UAS) to look at differences in coverage and elevation accuracy. The lidar data were acquired with a YellowScan...

Data release contains peak-flow frequency analyses for selected streamgages in North Dakota, along with information documenting the input data and specifications for the analyses. The analyses were performed using the methods described by Siefken and others (2025). The analyses are presented by delineated basins in associated child items.

Monthly actual ET (ETa) data estimated for the growing season (April - October) at 30-meter resolution with the Operational Simplified Surface Energy Balance (SSEBop) model (version 2.6) using satellite imagery obtained from Landsat 4, 5, 7, 8, and 9, and reference evapotranspiration obtained from the North America Land Data Assimilation 2 (NLDAS2) product for the Milk River basin, from...

Data from a Nevada telemetry study extending 1997-2006 research on historical mercury contamination on snowy egrets (Egretta thula) up to ~ 20 days of age.

This dataset contains environmental DNA (eDNA) and visual encounter survey (VES) data collected between 2019 and 2022 in Colorado canyonlands. eDNA data (field, extraction, and qPCR) is for three target species: American bullfrog, northern leopard frog, and Great Basin spadefoot. VES data is for six target species: American bullfrog, northern leopard frog, Great Basin spadefoot, red...

Data includes functional group cover of exotic annual grasses and deep rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and restoration treatment covariates hypothesized to influence post-fire invasive annual grass and perennial grass cover are included.

Data release contains peak-flow frequency analyses for selected streamgages in Montana, North Dakota, South Dakota, and Wyoming, along with information documenting the input data and specifications for the analyses. The analyses were performed using the methods described by Siefken and others (2025).