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Filters Date Range Past year (7) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (7) Shapefile (6) Types Map Service (14) GeoTIFF (7) OGC WFS Layer (7) OGC WMS Layer (7) Raster (7) More... Contacts U.S. Geological Survey - ScienceBase Esther D Stroh Aaron T Pearse Stefanie Kagone Earth Resources Observation and Science (EROS) Center More... Categories Data (15) Data Release - Revised (1) Tag Types Theme (13) Place (14) USGS Scientific Topic Keyword (6) Subject (1) Harvest Set (7) Science Themes (3) Drought, Fire and Extreme Weather (3) More... Tag Schemes None (8) USGS Thesaurus (9) Common geographic areas (4) ISO 19115 Topic Category (9) U.S. Board on Geographic Names (3) https://www.sciencebase.gov/vocab/category/item/bedi/discoveryCapabilities (1) Geographic Names Information System (GNIS) (2) More... View Results as: JSON ATOM CSV

Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, non-drought The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags Mean annual groundwater recharge rates for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi, for a set of drought and land-cover conditions These shapefiles represent the spatial distribution of mean annual groundwater recharge, in inches, for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi for a set of water-budget scenarios that characterize unique combinations of drought and land-cover conditions. Two water-budget scenarios were developed to quantify the effects of severe drought and future climate conditions on groundwater recharge for each island as follows: (1) rainfall conditions representative of the driest conditions during 1920–2012 and 2020 land cover, and (2) rainfall conditions representative of the driest conditions during a future dry-climate condition and 2020 land cover. Each drought condition was combined with two hypothetical... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Hydrology, Land Use Change, USGS Science Data Catalog (SDC), Water Resources Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, drought The whooping crane is a listed endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and winter along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface represents predictions under drought conditions across the study area. Pixel values... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags Predicted relative habitat selection for migrating whooping cranes in the United States Great Plains, averaged The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Kansas, Migratory birds, Montana, Nebraska, North Dakota, All tags... Oklahoma, South Dakota, Texas, biota, birds, endangered species, environment, migration (organisms), plant and animal tracking, Fewer tags VegET v2.0 illustrative products and evaluation The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication is providing the supporting data for the updated methods and provides evaluation results for the United States and the Greater Horn of Africa. Categories: Data; Types: Downloadable; Tags: CONUS, Evapotranspiration, Greater Horn of Africa, Hydrology, Land Use Change, All tags... USGS Science Data Catalog (SDC), VegET Model, Water Resources, drought monitoring, land surface phenology, modeling, remote sensing, runoff, snow, soil moisture, water budget, Fewer tags Time series of expected livestock forage biomass in the semi-arid grasslands of the western U.S. (2000-2018) Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Land Use Change, NDVI, USGS Science Data Catalog (SDC), United States, biomass, All tags... biota, drought impact, droughts, ecosystem management, farming, forage production, rangeland productivity, regression analysis, regression tree model, remote sensing, semi-arid grasslands, terrestrial ecosystems, western U.S., Fewer tags Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 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), All tags... VegET model, VegHydro Model, deep drainage, discharge, geoscientificInformation, inlandWaters, raster data, routed discharge data, runoff, surface runoff, Fewer tags Surveys and Monitoring of Coastal Cactus Wren in San Diego County, 2022 Data presented are results of surveys and monitoring for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. These data were collected to assess Cactus Wren population status to determine the relationships between specific elements of habitat quality and Cactus Wren presence. Surveys were conducted periodically at 507 plots throughout San Diego County. Birds that had been banded in prior years with unique color combinations were identified to individual on subsequent visits to provide data on survival and movement between years. These data support the following publication: Lynn, S., and Kus, B.E., 2023, Distribution and demography of coastal Cactus Wrens (Campylorhynchus brunneicapillus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, San Diego, animal and plant census, biota, birds, All tags... drought, field inventory and monitoring, habitats, productivity, survey, survival, vocalization methods, Fewer tags Surveys and Monitoring of Coastal Cactus Wren in San Diego County, 2023 Data presented are results of surveys and monitoring for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. These data were collected to assess Cactus Wren population status to determine the relationships between specific elements of habitat quality and Cactus Wren presence. Surveys were conducted periodically at 507 plots throughout San Diego County. Birds that had been banded in prior years with unique color combinations were identified to individual on subsequent visits to provide data on survival and movement and between years. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, San Diego, animal and plant census, biota, birds, All tags... drought, field inventory and monitoring, habitats, productivity, survey, survival, vocalization methods, Fewer tags Data release of capacity and area of Grand Lake O' the Cherokees, northeastern Oklahoma, 2009 The U.S. Geological Survey, in cooperation with the Grand River Dam Authority, computed a 2009 capacity and area table of Grand Lake O’ the Cherokees. The capacity and area table defines the relation between the elevation of the water surface and the volume and area of water that is impounded. The capacity and area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Esri ArcGIS 10.5.1, a geographic information system (GIS). The TIN surface was created from three datasets: (1) a 2009 Oklahoma Water Resources Board (OWRB) bathymetric survey of Grand Lake (OWRB, 2009, 2016), (2) a 2017 USGS bathymetric survey of the Neosho, Spring, and Elk Rivers (Hunter and others,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Grand Lake O' the Cherokees, Oklahoma, USGS Science Data Catalog (SDC), Water Resources, bathymetry, All tags... digital elevation models, geoscientificInformation, inlandWaters, utilitiesCommunication, Fewer tags Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 3.0, February 2024) Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. These data represent an updated population trend analysis and Targeted Annual Warning System (TAWS) for state and federal land and wildlife managers to use best available science to help guide current management and conservation plans aimed at benefitting sage-grouse populations range-wide. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022) and includes population lek count data from 1960-2023. Bayesian state-space models estimated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Colorado, Idaho, Montana, Nevada, All tags... North Dakota, Oregon, South Dakota, USGS Science Data Catalog (SDC), Utah, Washington, Wyoming, adaptive management, biota, ecology, human impacts, long-term ecological monitoring, shrubland ecosystems, targeted monitoring, triggers, warning system, western United States, Fewer tags 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT... Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Carmans River, Central Pine Barrens, Long Island, New York, Peconic River, All tags... Pine Barrens, Suffolk County, USGS Science Data Catalog (SDC), United States, Water Quality, Water Quality, Water Quality, Water Resources, Water-Quailty Modeling, emerging contaminants, environmental health, groundwater quality, river, stream, surface water, surface water quality, water quality, Fewer tags Reference period and projected environmental suitability scores-Mesquite These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Pinyon-Juniper These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Oaks These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags