Data

The U.S. Geological Survey (USGS) national seismic hazard models (NSHM) consider two kinds of earthquake sources. Specific faults are modeled where possible. Where faults cannot be identified or characterized, alternative sources can be developed from seismicity catalogs. In a paper submitted to Seismological Research Letters ("Related External Resources", below), we describe a methodology that ha

Data are abundance and body size (length) of juvenile salmon, forage fish, and other species captured with a lampara net in eelgrass and nearby unvegetated habitat on the Skagit River Delta monthly, April-September, 2008-2010, as well as vegetation status, water depth, temperature, salinity, and clarity for each fish netting event.

This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located

This data release contains the input-data files and R scripts associated with the analysis presented in [citation of manuscript]. The spatial extent of the data is the contiguous U.S. The input-data files include one comma separated value (csv) file of county-level data, and one csv file of city-level data. The county-level csv (county_data.csv) contains data for 3,109 counties. This data includes

These data are bathymetry (lake bottom elevation) in XYZ format, generated from the April 9-10, 2018, survey of Bourbon Lake and Williams Lake near Loretto, Kentucky. Bathymetric and topographic data were collected using an autonomous underwater vehicle (AUV) and a real-time kinematic global positioning system (GPS). Data were collected as the AUV traversed the lake along planned survey lines, and

Information concerning the availability, use, and quality of water in the 64 parishes of Louisiana is critical for water-supply management. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf (LMG) Water Science Center has been collecting, compiling, and publishing water-withdrawal and water-use information on a 5

Permafrost (perennially frozen) and active-layer (seasonally thawed) soils varying in soil carbon (C) and nitrogen (N) content and radiocarbon age were collected from three sites in interior Alaska to determine potential release of dissolved organic carbon (DOC), total dissolved N (TDN), dissolved organic nitrogen (DON), and dissolved inorganic nitrogen (DIN) upon thaw. Soil cores were cut into 15

This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Ri

This dataset includes two spreadsheets associated with a study of three genera of blood parasites (Leucocytozoon, Haemoproteus, Plasmodium) in 185 Spectacled Eiders (Somateria fischeri) sampled in Alaska, 2008-2012. The first spreadsheet provides age, sex, location, and blood parasite (hematozoa) infection data for three different genera of blood parasites. Hematozoa DNA, from eider blood samples,

This data set includes information on collections of fecal or cloacal samples from wild birds at a location in Alaska, USA. Samples were screened for Escherichia coli (E. coli) and tested for resistance to multiple antibiotics.

This dataset contains results of genetic screening for Poecivirus from samples of black-capped chickadees (BCCH; Poecile atricapillus) with and without clinical signs of avian keratin disorder (AKD). Data include information on detection/non-detection of the virus in tissue collected with buccal swabs, cloacal swabs, blood samples, and fecal samples from up to 124 individuals between 2015 and 2017