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These data have been collected by a collaborative and coordinated research network, SPARCnet (Salamander Population and Adaptation Research Collaboration network). We collected these data to examine patterns in seasonal and latitudinal variation in population density. This data can be used to estimate local salamander biomass, correcting for imperfect detection, and then compare these to estimates of biomass for other vertebrate species in North America that are known to have out-sized roles in ecosystem processes.
Categories: Data;
Tags: Biomass,
North America,
biota,
temperate terrestrial ecosystems,
woodland salamanders
American pikas (Ochotona princeps) are small lagomorphs that live in mountainous talus areas of western North America. Studies on the histopathology of American pikas are limited. This report summarizes the clinical histories, and gross and histologic findings of 12 American pikas, including nine captive and three wild animals. Death was often attributed to stress (transport, handling, and anesthesia) with few to no premonitory clinical signs. Two cases died due to infection: one had bacterial pyogranulomatous dermatitis, cellulitis, and lymphadenitis with sepsis; the other case had fungal necrotizing colitis. Incidental parasite infections included sarcocystosis, nematodiasis (oxyurids), and ectoparasitism. Most...
Categories: Data;
Tags: American pika,
Colorado,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Disease,
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,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Field Brome,
Great Basin,
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,...
Wind speed, wind direction (3D) and gas concentrations are measured at 10 Hz and statistically processed using the eddy covariance technique to half-hour estimates of flux rates of gas exchange between the ecosystem and atmosphere. Three gases were measured: carbon dioxide, methane and water vapor. Simultaneous measurements of environmental drivers are also measured and recorded as half-hourly values: photosynthetic photon flux density, downwelling and upwelling short and long wave radiation, air temperature, relative humidity and precipitation. Variable names and units follow AmeriFlux and FLUXNET standards. This site is a saltwater herbaceous marsh near Lake Hermitage, LA and Barataria Bay.
Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain animals. Cooperators include Partners of Scott County Watersheds, Prairie Rivers of Iowa, and U.S. Department of Agriculture-Agricultural Research Service.
Categories: Data;
Tags: Iowa,
Microbial source tracking,
USGS Science Data Catalog (SDC),
Water Quality,
environment,
This dataset contains two- and quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open-source binary Visualization Toolkit (VTK) format (https://vtk.org/). The simulations were run at flows in the range of 185-635 cms at increments of 30 cms. This set of flow conditions pertains to the base lateral eddy viscosity scenario referred to as LEVx1 in Call et al., 2023. Files can be opened using the open-source software program Paraview: (https://www.paraview.org/).
These two datasets contain metrics from hydrodynamic and particle tracking simulations for two sub-reaches of the Upper Missouri River near Wolf Point, MT. The upstream reach is referred to as the “upper” reach while the downstream reach is referred to as the “lower” reach. Simulations were performed for 16 flows in the range of 185-635 cms at increments of 30 cms.
This metadata record documents a set of 118 comma delimited files and a data dictionary describing the inputs for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) which is used to drive the National Hydrologic Model (NHM) for the United States-Canada transboundary domain. The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development...
The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These data represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: United States,
boundaries,
climate change,
geospatial datasets
Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin
A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on an ensemble of calibrated parameters to make nitrate predictions and to estimate the uncertainty of those predictions. This data release contains all of the calibrated parameter files required to run the tool. The files are packaged in a single ZIP file. To run the tool, the ZIP package needs to be downloaded and extracted within the pest/ies_parameter_ensembles/ subdirectory...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: PEST,
PESTPP-IES,
USGS Science Data Catalog (SDC),
Wisconsin,
hydrology,
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9DSOPHD. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,766 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and...
Tabular and raster data containing spatial capture recapture records for male and female bighorn sheep (Ovis canadensis nelsoni) in Grand Canyon National Park and surrounding landscape collected from 2010 to 2018 and associated tabular data files required for analysis of data with spatial capture connectivity models and raster data describing the ouput from SCR models. Associated tables and rasters include details for traps and genetic captures, and the state space for required modeling and associated spatial covariates in models, as well as rasters describing population density and habitat use.
This dataset contains particle starting location files for particle tracking simulations of the Upper Missouri River near Wolf Point, MT using the “Fluvial Particle” particle tracking model (https://doi.org/10.5066/P9K1U4O0). The file “DriftExperiment_StartLocations_n30000.csv” corresponds to particle simulations of a July 1, 2019, larval drift experiment. This file is configured to simulate 30,000 particles run in serial (i.e., 30,000 particles run on a single CPU). The files “ReachComparison_StartLocations_Lower_n250.csv” and “ReachComparison_StartLocations_Upper_n250.csv” correspond to particle simulations comparing the upper and lower sub-reaches of the larger model reach. Each of these simulations also used...
This dataset contains two- and quasi-three-dimensional hydrodynamic model outputs from the Flow and Sediment Transport with Morphologic Evolution of CHannels (FaSTMECH) hydrodynamic model in the open source binary Visualization Toolkit (VTK) format (https://vtk.org/). The simulations were run at 348 cms as measured on July 1, 2019, during a larval drift experiment conducted on the Upper Missouri River near Wolf Point, MT. Three different variations of the model were run at multiples of 0.5, 1, and 2 times the calculated lateral eddy viscosity (LEV) value to account for uncertainty in this parameter. These are labeled as LEVx0p5, LEVx1, and LEVx2 respectively. Files can be opened using the open-source software program...
This dataset contains shapefiles for three longitudinal water surface elevation profiles collected by boat on the Upper Missouri River near Wolf Point, MT between June 2018 and July 2019. The dataset was collected to calibrate a multidimensional hydrodynamic model.
The U.S. Geological Survey (USGS), in cooperation with the Texas Department of Transportation (TxDOT), deployed RQ-30 surface velocimetry sensors (hereinafter referred to as “RQ-30 sensors”) made by Sommer Messtechnik to collect radar gage-height data, cross section area, surface velocity, learned surface velocity, discharge, and learned discharge at 80 streamgages located in stream reaches with varying hydrologic and hydraulic characteristics. Land-use types in the contributing drainage basins included agricultural, forest, mixed, and coastal, that are common in central, east, and southeast Texas. Many of the drainage basins and streams have relatively low gradients. To test the efficacy of the remote-sensing methods,...
Mid-sized mammals (i.e., mesomammals) fulfill important ecological roles, serving as essential scavengers, predators, pollinators, and seed dispersers in the ecosystems they inhabit. Consequently, declines in mesomammal populations have the potential to disrupt ecological processes and degrade ecosystems. However, ecosystems characterized by high functional redundancy, where multiple species can fulfill similar ecological roles, may be less impacted by the loss of mesomammals and other vertebrates. The Greater Everglades Ecosystem in southern Florida is a historically biodiverse region that has recently been impacted by multiple anthropogenic threats, most notably the introduction of the Burmese python (Python bivittatus)....
Categories: Data;
Tags: Ecology,
Everglades,
Everglades National Park,
USGS Science Data Catalog (SDC),
Wildlife Biology,
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which...
Categories: Data;
Tags: Delaware,
Delaware River Basin,
Hydrology,
National Hydrography Dataset Plus Version 2.0,
New Jersey,
This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative...
Categories: Data,
Data Release - Revised;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
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