Geosciences and Environmental Change Science Center

Data and Tools

GECSC staff are responsible for the development of data and tools that support global environmental research, landscape change investigations, geologic studies and emergency response activities. 

Filter Total Items: 71
Date published: January 1, 2019

Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)

These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hill

Date published: January 1, 2019

Data Release for "Holocene thermokarst lake dynamics in northern Interior Alaska: the interplay of climate, fire, and subsurface hydrology"

The current state of permafrost in Alaska and meaningful expectations for its future evolution are informed by long-term perspectives on previous permafrost degradation. Thermokarst processes in permafrost landscapes often lead to widespread lake formation and the spatial and temporal evolution of thermokarst lake landscapes reflects the combined effects of climate, ground conditions, vegetat...

Date published: January 1, 2019

Data release for Isotopic constraints on middle Pleistocene cave evolution, paleohydrologic flow, and environmental conditions from Fitton Cave speleothems, Buffalo National River, Arkansas (KIG'17)

This dataset accompanies publication 'Isotopic constraints on middle Pleistocene cave evolution, paleohydrologic flow, and environmental conditions from Fitton Cave speleothems, Buffalo National River, Arkansas', to be published as a USGS Scientific Investigations Report associated with the 2017 USGS Karst Interest Group meeting in San Antonio, TX.

Date published: January 1, 2019

Data release for the Geographic context affects the landscape change and fragmentation caused by wind energy facilities.

Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. We mapped, quantified, and analyzed the effects of facilities geographic context on road networks and changes in landscape patterns by digitizing the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery. We then measured landscape

Date published: January 1, 2019

Great Dismal Swamp field measurements for aboveground and belowground biomass

Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data...

Date published: January 1, 2019

Data release for Using social-context matching to improve value-transfer performance for cultural ecosystem service models

Recreational and aesthetic enjoyment of public lands is increasing across a wide range of activities, highlighting the need to assess and adapt management to accommodate these uses. Despite a growing number of studies on mapping cultural ecosystem services, most are local- scale assessments that rely on costly and time-consuming primary data collection. As a result, the availability of spat...

Date published: January 1, 2019

Data release for the Understanding recurrent land use processes and long-term transitions in the dynamic south-central US, c. 1800 to 2006

The dataset was generated for the South Central Plains EPA level III ecoregion which extends through eastern Texas, northwestern Louisiana, southwest Arkansas, and a small portion of southeastern Oklahoma covering approximately 15.2 ha. Contained in the data set are land change causes that occurred between 2001 to 2006 such as forest harvest, surficial mining, and cropland expansion.

Date published: January 1, 2019

Data release for Geologic Map of the Poncha Pass Area, Chaffee, Fremont, and Saguache Counties, Colorado

This release presents the GIS data (in GDB, shapefile, and e00 [coverage] formats) and metadata for a 1:24,000-scale geologic map of the Poncha Pass area in central Colorado. A cartographic version of the geologic map, including map unit descriptions, interpretative text, and accessory figures and tables, is being separately published as a U.S. Geological Survey Scientifi

Date published: January 1, 2019

Geochemical and geochronologic data from the Stillwater Range, Clan Alpine, and Desatoya Mountains, Nevada

This dataset contains argon-argon and U-Pb geochronologic data collected from igneous rocks in the Stillwater Range, Clan Alpine, and Desatoya Mountains, western Nevada, USA

Date published: January 1, 2019

Data release of Three-Dimensional Hydrogeologic Framework Model of the Petaluma Valley Watershed, Sonoma County, California

This digital dataset was created as part of a U.S. Geological Survey study, done in cooperation with the Sonoma County Water Agency and the City of Petaluma, to be used as the digital hydrogeologic input data for numerical simulation of the groundwater system of the Petaluma Valley Watershed, Sonoma County, California. Elevation, thickness, and extent of the hydrostratigraphic units d

Date published: December 12, 2018

NUPO Data Research at GECSC

The focus of the data research activities at the National UAS Project Office (NUPO) are on developing the new processing techniques to achieve this higher resolution source data and maximizing the utilization of this data for generating geospatial products to support scientific analysis.

Date published: October 19, 2018

U-Pb SHRIMP zircon isotopic data for ages used on the Poncha Pass map

U-Pb isotopic data from zircon measured using the SHRIMP-RG ion microprobe at Stanford University, CA. These data are used to calculate absolute ages of the samples from which the zircons were extracted. These samples are shown on the Poncha Pass map being submitted for publication (Minor et al.)