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Tracking Data for Black Brant (Branta bernicla nigricans)

This data package contains all location data collected by light-level geolocators attached to 68 Black Brant at breeding areas in Alaska. The data include: a deployment attributes file with details of each brant at the time of capture, the raw light-level data in ASCII files as downloaded and decompressed, and twice-daily estimated locations.

Map data for a landslide inventory of the northwestern part of Vicksburg National Military Park, Mississippi

Vicksburg National Military Park (VICK) is in western Mississippi, situated on the loess bluffs flanking the Mississippi River. These bluffs are comprised of an accumulation of windblown silt-rich sediments, known as loess, which overlays the Oligocene Vicksburg Group. The loess deposits are thick (up to 30 meters) and easily eroded, creating deep ravines and steeply sloped elongated ridges that o

Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2023

The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT

Results from additional dynamic cone penetration testing of soils on the Utuado Batholith, upland and dissected terrains, Puerto Rico - June 2022

A Smart Dynamic Cone Penetrometer (DCP) system allows for the partially automated collection of cone penetrometer data (CPT) to determine mechanical properties of soil along a vertical profile. A smart DCP system was used to collect soil penetration-with-depth values alongside 12 soil pits dug in the Utuado Batholith, a late Cretaceous age granodiorite pluton located on the northern portion of the

Groundwater and soil gas data, methods, and quality assurance information for samples collected to determine ancient carbon distributions at Red Hill, Bulk Fuel Storage Facility, O‘ahu, Hawai‘i 2022-2023

This U.S. Geological Survey (USGS) Data Release describes field methods, lab methods, and data for groundwater and soil gas samples collected in the vicinity of the Red Hill Bulk Fuel Storage Facility, O‘ahu, Hawai‘i, from September 2022 through April 2023. The Red Hill facility consists of 20 underground fuel storage tanks that can each hold approximately 12.5 million gallons of fuel and are conn

2019 Eastern Iowa Topographic Lidar Validation – USGS Field Survey Data

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between October 25th and 31st, 2020 at several sites in eastern Iowa using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topographic light detection and ranging (lidar) data that was collected between December 7th, 2019 and November 19th, 2020 using wide ar

MODFLOW 6 models for assimilating remote sensing evapotranspiration in ensemble-based framework to enhance cascade routing and re-infiltration concept in integrated hydrological models applied to support decision making

This data release contains MODFLOW 6 integrated hydrological model (IHM) that helps characterize the groundwater/surface-water interaction within the Sardon Catchment of western Spain. The model was used to quantify and reduce the overall model uncertainty to improve its reliability as a Decision Support Modeling (DSM) tool by improving the conceptualization and simulation of the overland flow pro

GIS data for U.S. Geological Survey OFR 2005-1252, The Geologic Map of Seattle—A Progress Report

This data release contains the GIS data supporting U.S. Geological Survey Open-File Report (OFR) 2005-1252, "The Geologic Map of Seattle—A Progress Report," published in 2005 by Kathy Goetz Troost, Derek B. Booth, Aaron P. Wisher, and Scott A. Shimel (https://doi.org/10.3133/ofr20051252). The OFR was prepared for the 2005 Washington Hydrogeology Symposium and describes the status of geologic mappi

Results from dynamic cone penetration testing of soils on the Utuado Batholith, upland and dissected terrains, Puerto Rico – March 2022

A Smart Dynamic Cone Penetrometer (DCP) system allows for the partially automated collection of cone penetrometer data (CPT) to determine mechanical properties of soil along a vertical profile. A smart DCP system was used to collect soil penetration-with-depth values at 16 sites along three transects on the Utuado Batholith, a late Cretaceous age granodiorite pluton located on the northern portion

Seismic sub-bottom, sediment core and radiocarbon data collected in Ozette Lake, Washington from 2019-2021

Seismic-reflection data and cores were collected in Ozette Lake, Washington, from 2019 to 2021. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. Identification of fault-related submarine hazards is a primary mission of the USGS Coastal and Marine Geology Program. In the US Pacific Northwest region, the greatest earthquake and

PRMS model inputs and outputs for the Upper Pipestem Creek basin (2017)

This data release contains input for and outputs from hydrologic simulations of the upper Pipestem creek basin located in the Prairie Pothole region of North Dakota using the Precipitation Runoff Modeling System (PRMS).These simulations were developed to provide example applications of model calibration using alternative calibration targets. These PRMS model input and output data are intended to a

Data to support an updated range map for Plethodon shenandoah and evaluating support for multiple models of species occurrence

The Shenanadoah Salamander (Plethodon shenandoah) is an endangered salamander found only in the mountains of Shenandoah National Park. Field surveys of the salamander were conducted from 2007-2022 using daytime cover object surveys. In order to capture the totality of P. shendandoah’s range we sampled from low to high elevation across a broad geographic range. We created a spatial generalized addi