Data

This data release includes concentrations of 24 per- and polyfluoroalkyl substances (PFAS) and physical properties of water-quality samples collected by the U.S. Geological Survey (USGS) at 64 selected sites in rivers and streams in Massachusetts over three rounds of sampling. The samples were collected from August to November 2020 when streamflow conditions were below normal (also...

These data were compiled for the Altar Valley Conservation Alliance and the U. S. Fish and Wildlife Service to identify and quantify the spatial distribution of fine fuels in relation to wildfire management across jurisdictional boundaries. Objective(s) of our study were to map the 2021 annual distribution of the biomass (kg/ha) of fine fuels (grasses, shrubs, and forbs) for the whole of...

The Hamilton Wetland Restoration Project (HWRP) is a joint venture between the US Army Corps of Engineers (USACE; San Francisco District) and the California State Coastal Conservancy. The site is located on the property of the former Hamilton Army Airfield in Novato, California, along the western edge of San Pablo Bay, which is part of northern San Francisco Bay. The initial stages of...

This data release is associated with the following Scientific Investigations Report: Root, J.C. and Jones, D.K., 2022, Elevation-area-capacity relationships of Lake Powell in 2018 and estimated loss of storage capacity since 1963: U.S. Geological Survey Scientific Investigations Report 2022-5017, 21 p., https://doi.org/10.3133/sir20225017. This dataset provides elevation-area-capacity

More than 1,000 line-km of sub-bottom chirp data were collected with an Edgetech 0.5-16 kHz subscan system by Scripps Institution of Oceanography between 2006 and 2008 in the Salton Sea, California, with assistance from the U.S. Geological Survey (USGS). Data were subsequently donated by Scripps to the USGS for public release (USGS field activity identifier 2006-603-DD).

Invasive annual grasses (IAGs) present a persistent challenge for the ecological management of rangelands, particularly the imperiled sagebrush biome in western North America. Cheatgrass (Bromus tectorum), medusahead (Taeniatherum caput-medusae), and Ventenata spp. are spreading across sagebrush rangelands and already occupy at least 200,000 kilometers squared (km sq.) of the...

This data release includes results of raw water, soil, seston, and fish tissue samples collected from lakes in southwestern Alaska between 2011 and 2016. Specifically, these data include total mercury and methylmercury concentrations in water, size-sieved seston, and particulate matter of 13 remote lakes. Additionally, these data include soil and volcanic ash measurements from the...

Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or 'label images') collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial...

This dataset contains initial data from head-started alligator snapping turtles released by Louisiana Department of Wildlife and Fisheries (LDWF) from November 2015 to October 2016. In addition, it contains data from a five-day trapping effort at each of seven release sites by the United States Geological Survey (USGS) from late June to early October 2018. Trapping was completed using...

This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference...

ModelMuse is a graphical user interface for several different groundwater modeling programs. ModelMuse has been updated to generate the input files for the parameter estimation software suite PEST when used with MODFLOW or SUTRA models, run PEST-based parameter estimation, and display the updated model inputs after parameter estimation. The PEST input files can also be used with PEST++...