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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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A comparison of pan trap and hand net bee collection methods at Badlands National Park, South Dakota, 2012

This data record includes bee species captured by pan trap or hand net in 1-hectare, mixed-grass prairie plots at Badlands National Park, South Dakota, in 2012.

Reprocessed multichannel seismic reflection data acquired offshore Southern California during USGS field activity L-4-90-SC

Multichannel seismic (MCS) data were collected by the U.S. Geological Survey (USGS) in 1990 in the California Continental Borderland (USGS field activity L490SC). In 2021, these data were reprocessed to improve accuracy and resolvability of geologic structures and fault systems of California's continental margin. MCS data were acquired to support the Southern California Earthquake Hazards project

Multichannel sparker and chirp seismic reflection data collected during USGS field activity 2018-658-FA between Cape Blanco and Cape Mendocino in October of 2018

This data release contains processed high-resolution multichannel sparker seismic-reflection (MCS) data and chirp sub-bottom data that were collected aboard Humboldt State University's R/V Coral Sea in October of 2018 on U.S. Geological Survey cruise 2018-658-FA on the shelf and slope between Cape Blanco, Oregon, and Cape Mendocino, California. MCS data were collected to characterize quaternary de

U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2016, 2018, 2021) to improve understanding of the mechanisms driving salinity intrusion

The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2016, 2018, 2021. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, thr

Mountain Plover population and habitat assessments in Texas, 2019–2020

We conducted population and habitat assessments for Mountain Plovers in Texas during winters of 2019 and 2020. We used roadside surveys and distance-sampling to estimate bird density and calculate population totals for the study area, which included parts of five ecoregions (Chihuahuan Deserts, High Plains, Central Great Plains, Southern Texas Plains, Texas Blackland Prairies, and Western Gulf Coa

Biological and chemical data from laboratory toxicity exposures of rainbow trout to four wildland fire retardants

We determined the acute toxicity of four wildland fire retardants (Phos-Chek 259-Fx, Phos-Chek MVP-Fx, and Phos-Chek LC-95A-Fx, and Phos-Chek LC-95A-R) to two life stages (swim-up fry and young juveniles) of rainbow trout in standardized hard and soft water. The measure of acute toxicity was expressed as both the 96-hour median lethal concentration (96-h LC50, based on mortality) and 96-h median e

New U-Pb Geochronology and Geochemistry of Paleozoic Metaigneous Rocks from Western Yukon and Eastern Alaska

This data release contains three tables of U-Pb zircon isotopic data generated from analyses of 40 metaplutonic and metavolcanic rocks from the Yukon-Tanana Upland of western Yukon and east-central Alaska and one sample from southern Yukon. One of the tables also reports U-Pb data for two titanite analyses for one of the samples. U-Pb zircon ages from analyzed samples range from 363.5 plus/minus 3

Digital seafloor images, sediment grain size, bathymetry, and water velocity data from the lower Columbia River, Oregon and Washington, 2021

Growth of subaqueous sand dunes commonly causes shoaling in engineered river channels that necessitates costly dredging to maintain adequate depths for navigation. The factors that result in sand wave growth are theoretically understood from laboratory experiments, but the capacity to predict sand wave geometries in field settings is limited due to temporal and spatial variability in hydrodynamics

Methane seep locations derived from water-column acoustic backscatter data collected along Cascadia Margin offshore Oregon and Northern California, 2018-2021

Between 2018-2021, the U.S. Geological Survey cooperated with NOAA to conduct multibeam echo-sounding surveys to map the seafloor along the Cascadia convergent margin, collecting acoustic bathymetry, backscatter and water column data. Rising bubbles emitted from methane cold seeps on the seafloor can be detected acoustically with this multibeam echo-sounding sonar, and this dataset contains the lo

Data on the detection of Cumberlandia monodonta using a designed environmental DNA (eDNA) survey upstream and downstream of known populations in the Big Piney River, Missouri (2020 – 2022)

Data describe a designed environmental DNA (eDNA) survey for the detection of Spectaclecase (Cumberlandia monodonta, also referred to as Margaritifera monodonta) from field collected water samples. Parameters described include the limit of detection and limit of quantification of the assay; a list of freshwater mussel species tissue samples that were used to test specificity of the assay; and fiel

Degradation of Cumberlandia monodonta environmental DNA over time in laboratory conditions using the C.monCOI assay

Data describe a designed environmental DNA (eDNA) experiment for the estimation of eDNA degradation rates for the spectaclecase (Cumberlandia monodonta) from water samples collected in the laboratory. Parameters described include laboratory collected water samples that were tested to estimate concentration of spectaclecase DNA and associated quality assurance data. Samples were collected from expe

Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis

The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.