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During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates...
Categories: Data;
Tags: Butte County,
California,
Environmental Health,
Geochemistry,
Land Use Change,
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...
Model Inputs: Midwest Climate Change Vulnerability Assessment for the U.S. Fish and Wildlife Service
This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
Vascular plant data collected at the South Unit of Theodore Roosevelt National Park, ND, USA in 1996
This data release contains three data sets. The data were collected in 1996 at the South Unit of Theodore Roosevelt National Park, ND, USA. The main data set comprises the list of plant species observed and includes the transect, plot number, plot size, and vegetation type where each species was found. A second data set has the locations of the transects, along with their IDs which can be linked to the species list. The final data set is a list of nomenclature updates and species that had duplicates in ITIS, along with the currently accepted scientific names of these species.
Categories: Data;
Tags: Botany,
Ecology,
Land Use Change,
North Dakota,
Theodore Roosevelt National Park,
This data release contains site information and potential explanatory factor data for 1,899 groundwater sites. These sites were used to assess groundwater quality in aquifers used for domestic and public drinking water supply in the southeastern San Joaquin Valley. The southeastern San Joaquin Valley (SESJV) study unit consists of five study areas whose boundaries are defined by the eponymous California Department of Water Resources groundwater subbasins of the San Joaquin Valley groundwater basin: Madera-Chowchilla, Kings, Kaweah, Tule, and Tulare Lake. The sites consist of 198 wells representing the domestic-supply aquifer and 1,701 wells representing the public-supply aquifer. The domestic-supply aquifer wells...
Atmospheric deposition of reactive nitrogen (Nr) can impact the soil microbial community structure and function and thus ecosystem processing and export of nutrients. Ecosystem response to atmospheric inputs of nitrogen depends on several factors, including elevational climate conditions (freeze/thaw cycles, precipitation), geology, soil and vegetation type, N speciation and microbial community structure. The focus of this study was to evaluate how spatial and seasonal variations in N deposition affect the ability of soil microbial communities to process N along an elevational gradient (1700 to 3015 meters) from plains to subalpine ecosystems west of Boulder, Colorado. In conjunction with a study measuring the variability...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Environmental Health,
Geochemistry,
Land Use Change,
Soil Sciences,
The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://ngda-cadastre-geoplatform.hub.arcgis.com/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent...
The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CONUS,
CONUS,
Conterminous,
Conterminous United States,
FORE-SCE,
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Hopedale Hydrologic Restoration (PO-24) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: CWPPRA,
Geography,
Gulf of Mexico,
Land Use Change,
Louisiana,
This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
Types: GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chippewa,
Ecology,
Great Lakes,
Holocene,
Hydrology,
We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using...
This product summarizes data used in the analysis portion of our Flood and Storm Tracker (FaST) manuscript (see larger work citation). The dataset titled HUCsppMatrices2012-2022.csv has each Hydraulic Unit Code (HUC) with an introduced taxon in each storm and the HUC it connected to by flood waters (lateral or longitudinal). The dataset titled ConnectionPoints_2012-2022.csv has each lateral (not longitudinal or downstream) connection point for each storm event. The dataset titled LongitudinalConnectionPoints_2012-2022.csv has each longitudinal or downstream connection point for each storm event.
Fine-sediment elemental chemistry and short-lived cosmogenic radionuclides (Beryllium-7, Cesium-137, and Lead-210) were quantified to describe land-based sediment sources and runoff to Olowalu Reef in February 2022. Charcoal counts, total organic carbon contents, and 76 urban- and wildfire-associated contaminants called polycyclic aromatic hydrocarbons (PAHs) were quantified to explore urban and wildfire effects in watersheds above Olowalu Reef and in reef sediment. Sampling occurred approximately two months after winter flooding and one month after tsunamigenic waves impinged on the Maui shore from the eruption of Hunga-Tonga volcano in the South Pacific. The USGS Coastal and Marine Hazards and Resources Program...
Categories: Data;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Environmental Health,
Geochemistry,
Kealaloloa Ridge,
The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial mapping products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively. The imagery was classified using Random Forest (RF) Modeling to produce land cover maps with three main classifications - bare,...
Data are contained in a Microsoft Access database consisting of 27 data tables. Tables provided include emergency stabilization and rehabilitation (ESR) projects sampled, study plot characteristics, and sampled vegetation and fuels data. All data are from Bureau of Land Management (BLM) federal lands within the Great Basin region of the intermountain west. These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.
This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
Categories: Data;
Types: Data,
Downloadable,
Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Africa,
Hydrology,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
This data release contains radiocarbon dates and clumped isotope ratios for soil carbonates as well as observed soil temperatures for study sites in the San Luis Valley, Colorado and New Mexico, USA. The companion publication can be found at https://doi.org/10.1029/2023GC011221.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Geochemistry,
Hydrology,
Land Use Change,
New Mexico,
This tabular data set represents the percent of land cover classes in the riparian zone from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the...
This dataset describes field-measured qualitative stream channel characteristics indicative of incision and remotely-measured predictions of channel incision from lidar in three headwater streams in the Piedmont physiographic region of Maryland. The files within the field-measured channel incision folder include 1) a point file of original survey locations with a description of channel characteristics and 2) a stream network file with the field-surveyed degree of channel incision classified by stream reach. The file within the model-predicted channel incision folder includes stream networks for each watershed, and the incision prediction from lidar for the years 2002, 2008, 2013, and 2018.
This data release consists of daily mean streamflow, daily mean suspended sediment concentration (SSC), and daily mean suspended sediment load (SSL) data for selected U.S. Geological Survey (USGS) streamgage sites within the Fountain Creek watershed, separated by water year. Each file also includes USGS approval levels and any associated qualifiers that were applied to the values. The daily mean SSC and daily mean SSL were calculated using the program, Graphical Constituent Loading Analysis System (GCLAS) , and are publicly available in the USGS National Water Information System (NWIS) database. Methods used in GCLAS to calculate daily mean SSC and SSL will not be discussed in this data release (see: User's manual...
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