Data

This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along...

This data release presents geologic map data for the bedrock geology of the Durango 1-degree by 2-degree quadrangle. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation...

Data consist of census counts of Pliocene benthic foraminifera from the lectostratotype of the Yorktown Formation at Rushmere, Viriginia, and from Pipsico Boy Scout Camp, Spring Grove, Virginia. In total, counts of individuals from 45 samples and 67 species are included. Counts for planktic foraminifera, foraminiferal fragments, and poorly persevered specimens are also included in the...

The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998...

This report summarizes the age-dating results from four terrace surfaces of the Littlerock Creek (map units T3g, T3c, T2, and T1c) that record cumulative strike-slip displacements ranging from 470 to 1080 meters along the Mojave section of the San Andreas Fault. Within this report are detailed the methodology used to collect samples of rock and sediment, determine concentrations of...

Information on the spatio-temporal distribution of rainfall is critical for addressing water-related disasters, especially in the Middle East and North Africa's (MENA) arid to semi-arid regions. However, the availability of reliable rainfall datasets for most river basins is limited. In this study, we utilized observations from satellite-based rainfall data, in situ rain gauge...

Accurate elevation data in coastal ecosystems are crucial for understanding vulnerability to sea-level rise. Lidar has become increasingly available; however, in tidal wetlands such as mangroves and salt marsh, vertical bias from dense vegetation reduces accuracy of the delivered 'base earth' products. To increase accuracy of elevation models across south Florida, we applied the LEAN...

This database contains literature citations and associated abstracts pertaining to the ecology and hydrology of terminal lakes in the Great Basin region of the western United States. This is not meant to be an exhaustive list, nor did we perform a systematic meta-analysis; rather, literature records were included based on topical relevance.

The data include ages and locations of presence/absence surveys for sagebrush (Artemesia tridentata) on the Bureau of Land Management Rio Grande del Norte National Monument, New Mexico. We sampled cross-sections of sagebrush along 11 General Land Office section survey lines and conducted growth ring analysis to produce inner-ring dates for 93 sagebrush plants. The presence/absence...

This dataset contains the information necessary for bioenergetics modeling of rainbow trout growth in select tributaries to the Upper Skagit River Hydroelectric reservoirs. The diet, invertebrate drift, and size-at-age data used to create modeling inputs is included in csv files. The input data generated for modeling can be found in the folder 'FB4 Upper Skagit Tributaries - Data Release...

This data release includes 9 GeoTIFF rasters that represent percent cover of intertidal microbial biofilm on the mudflats of South San Francisco Bay, CA between June 2020, and June 2022. Rasters follow the naming scheme biofilmPC_YYYYMMDD_10m.tif, where “biofilmPC” describes the dataset, YYYYMMDD is the date of the image, and 10m is the spatial resolution of the raster. Raster data...

We used spatial data from previously mapped preferential groundwater discharges throughout the Farmington River watershed in Connecticut and Massachusetts (https://doi.org/10.5066/P915E8JY) to guide water sample collection at known locations of groundwater discharging to surface water. In 2017 and 2019 - 2021, samples were collected during general river baseflow conditions (July –...