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Data Releases

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.

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Hydrodynamic, sediment transport, and sediment flocculation data from south San Francisco Bay, California, summer 2020

The U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center collected hydrodynamic and suspended sediment flocculation data at channel and shallow water sites in south San Francisco Bay in July 2020. The data were used to determine water column stratification, turbulence profiles, and floc size evolution. The goal of this project was to bound the controls on floc size and floc sett

Grain-size data from core S3-15G, Monterey Fan, Central California

This data release presents sediment grain-size data from samples collected from core S3-15G, a 4.72-m long gravity core collected at a depth of 3,491 meters on the western levy of the Monterey Fan on May 31, 1978 (USGS Field Activity S-3-78-SC).

Data used to model and map manganese in the Northern Atlantic Coastal Plain aquifer system, eastern USA

Data used to model and map manganese concentrations in groundwater in the Northern Atlantic Coastal Plain (NACP) aquifer system, eastern USA, are documented in this data release. The model predicts manganese concentration within four classes and is based on concentration data from 4492 wells. The well data were compiled from U.S. Geological Survey, U.S. Environmental Protection Agency, Suffolk Cou

Second Iteration of Range Wide Lesser Prairie Chicken Lek Habitat Suitability in 2019, Predicted in Southern Great Plains

We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate chang

Spatial Hydro-Ecological Decision System Summarized Designing Sustainable Landscapes and National Land Cover Database 2001 - 2016 Data for SHEDS Region 2

This data release is a summarization of the US Geological Survey National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013 and 2016 Land Cover datasets and the Landscape Ecology Lab at the University of Massachusetts Designing Sustainable Landscapes (DSL) datasets within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework. The output is a series of tables consisting of

Geophysical properties, geochronologic, and geochemical data of sediment cores collected from San Pablo Bay, California, October 17-20, 2016

Geophysical properties (P-wave velocity, gamma ray density, and magnetic susceptibility), geochronologic (radiocarbon, excess Lead-210, and Cesium-137), and geochemical data (organic carbon content and 60 element contents) are reported for select vibracores collected aboard the S/V Retriever October 17-20, 2016 in San Pablo Bay, California. Geophysical properties were measured with a Geotek Multi-

Piston and gravity core data collected during USGS cruise 2019-642-FA offshore of south-central California in support of the Bureau of Ocean Energy Management (BOEM) California Deepwater Investigations and Groundtruthing (Cal DIG I) alternative energy pro

This data release includes photographs, multi-sensor core logger (MSCL), porewater analyses, and location and depth data from piston and gravity cores collected off the south-central California coast. This dataset is one of several collected as part of the Bureau of Ocean Energy Management (BOEM)-funded California Deepwater Investigations and Groundtruthing (Cal DIG I) project. The purpose of the

Donated ROV vibracore and sampling data collected during Monterey Bay Aquarium Research Institute cruises in 2019 offshore of south-central California

This dataset includes photographs of vibracores that were collected by the Monterey Bay Aquarium Research Institute (MBARI) in February 2019 and November 2019 aboard the R/V Western Flyer using the remotely operated vehicle (ROV) Doc Ricketts. The collection of these cores was funded entirely by MBARI, and the cores have been donated to the U.S. Geological Survey (USGS). The cores were collected i

Data Release Sediment and water column flux data from the Fox Rivermouth (Green Bay, WI; 2017)

These are data associated with water column incubation experiments performed in the Fox rivermouth. The Fox River is a Lake Michigan tributary that enters Green Bay. These experiments are used to measure the transformation of inorganic and total dissolved nutrients occurring in the surface water of the rivermouth. Experiments had light and dark treatments, and some experiments were paired with

Mean flea counts from prairie dogs and their burrows in Utah (2000), New Mexico (2010-2012), and Montana (2016, 2019)

Mean flea counts from prairie dogs and their burrows in Utah (2000), New Mexico (2010-2012), and Montana (2016, 2019). Prairie dogs were live-trapped, anesthetized with isoflurane, and combed thoroughly for 30 or 45 seconds to remove and count fleas. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. Randomly selected prairie dog burrows were swabbed for

Geochemical, geological, and geophysical data for wells in the Poso Creek oil and gas field, Kern County, California

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board and the U.S. Bureau of Land Management compiled and analyzed data for mapping groundwater salinity and characterizing aquifer systems in and around selected oil and gas fields in California. Data were collected for the Poso Creek oil field area which includes well construction data, production

Aerial Imagery of the North Carolina Coast: 2019-08-30 and 2019-09-02, Pre-Hurricane Dorian

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods.