Data Releases

The Herring River estuary in Wellfleet, Cape Cod, Massachusetts, has been tidally restricted for more than a century by a dike constructed near the mouth of the river. Upstream from the dike, the tidal restriction has caused the conversion of salt marsh wetlands to various other ecosystems including impounded freshwater marshes, flooded shrub land, drained forested upland, and brackish...

The accretion history of fringing salt marshes in Narragansett Bay, Rhode Island, was reconstructed from sediment cores. Age models, based on excess lead-210 and cesium-137 radionuclide analysis, were constructed to evaluate how vertical accretion and carbon burial rates have changed during the past century. The Constant Rate of Supply (CRS) age model was used to date six cores collected...

Nineteen sediment cores were collected from five salt marshes on the northern shore of Cape Cod where previously restricted tidal exchange was restored to part of the marshes. Cores were collected in duplicate from two locations within each marsh complex: one upstream and one downstream from the former tidal restriction (typically caused by an undersized culvert or a berm). The unaltered...

Coastal wetlands in Tampa Bay, Florida, are important ecosystems that deliver a variety of ecosystem services. Key to ecosystem functioning is wetland response to sea-level rise through accumulation of mineral and organic sediment. The organic sediment within coastal wetlands is composed of carbon sequestered over the time scale of the wetland’s existence. This study was conducted to...

The San Juan Bay Estuary, Puerto Rico, contains mangrove forests that store significant amounts of organic carbon in soils and biomass. There is a strong urbanization gradient across the estuary, from the highly urbanized and clogged Caño Martin Peña in the western part of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the...

The files in this data release are RNA seq datafiles from a study that examined the effects of the synthetic anabolic steroid 17B. hydroxyestra 4,9,11 trien-3-one, trenbolone (17B.T - CAS 10161-33-8), a common contaminant of wastes from confined animal feeding operations (CAFOs). Japanese quail (Coturnix japonica) were exposed in the egg and through feed to multiple doses of 17βT and...

These data show details of time taken to fit tail tags on horses at Herd Management Areas in Utah and Nevada. We provide the time of day that individuals entered and exited a squeeze chute and the resulting duration of time they were in the squeeze to have the tag affixed (among other things) at BLM facilities, as well as the sex and age of the individual, and dates that tail tags were...

Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous...

We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Greater Yellowstone Climate Assessment. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 GCMs from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. The

Location of agricultural land cover obtained from the LANDFIRE Existing Vegetation Type dataset.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions...

This data release contains borehole video and aquifer-test data for the Burnpit well (U.S. Geological Survey [USGS] National Water Information System identification 435240103265301), Mount Rushmore National Memorial, collected in June and July 2020. The data accompany a USGS Scientific Investigations Report by Eldridge and others (2021).