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The Lassen herd winters in lower elevations in the Secret Valley, Bull Flat, and the Five Springs Wilderness Study Area north of the Skedaddle Mountains and east of Shaffer Mountain, as well as in the Dry Valley Rim Wilderness Study Area. Summer ranges are spread out, with some individuals migrating north to the Madeline Plains and others heading west to Willow Creek Valley, Grasshopper Valley, and Eagle Lake (fig. XXX). An unknown portion of the herd are better characterized as residents. The primary threat to pronghorn in the Lassen herd is the conversion of perennial shrublands to exotic annual grasslands following wildfires. The 2012 Rush Fire burned 271,911 acres in Lassen County within the boundary of the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
United States,
Wendel,
animal behavior,
biota,
This dataset consists of daily streamflow percentiles for 1981-10-01 to 2020-03-31 relevant to streamflow drought defined using two approaches: Percentiles accounting for flow seasonality (variable threshold percentiles) and those based on the full record of data for each site regardless of season (fixed threshold percentiles). Because of the size of this dataset (99,530,836 rows), it could not be provided as a .csv file, and is instead provided as a .parquet file. Instructions on reading this file using the R programming language are provided in the Processing Step section of this metadata. The daily streamflow percentiles were estimated for ungaged areas of the Colorado River Basin (CRB) using neural network models,...
This dataset provides the estimated cell abundance and total biovolume for whole-water picoplankton samples collected by the U.S. Geological Survey (USGS) at 25 different sites in Kansas between August of 2020 and August of 2022. The samples were analyzed by BSA Environmental Services, Inc. This data is part of a larger multi-agency project between U.S. Environmental Protection Agency, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, and USGS called the Cyanobacteria Assessment Network (CyAN). The goal of the CyAN project is to develop a satellite-based, early warning system to detect harmful algal blooms (HABs) in freshwater systems.
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9YKWWSZ This dataset contains discrete groundwater elevation measurements for wells in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Climatic change,
Cottonwood Lake Study Area,
Effects of climate change,
Ground water,
Groundwater level,
The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 1966,
CCME-glacier,
Flathead County,
GLAC,
Glacier County,
We tracked Lake Trout and a small number Yellowstone Cutthroat Trout using acoustic telemetry (Vemco VR2W - 69 kHz) receivers and transmitters (Vemco V- series) in Yellowstone Lake from 2011 to 2016. This data set consists of the fish taqgging and recapture information. In total, 470 Lake Trout and 21 Yellowstone Cutthroat Trout were tagged with transmitters. Transmitters were surgically implanted into fish greater 405 mm total length. Fish were captured via line sampleing, anesthetized with Aqui-S, and tagged within a few minutes of capture. After recovering in freshwater for no more than 10 minutes, all tagged fish were released into Yellowstone Lake. While limited, recaptured fish information was reported to...
The U.S. Geological Survey (USGS) is providing online maps of water-table and potentiometric-surface altitude in the upper glacial, Magothy, Jameco, Lloyd, and North Shore aquifers on Long Island, New York, April–May 2016. Also provided is a depth-to-water map for Long Island, New York, April–May 2016. The USGS makes these maps and geospatial data available as REST Open Map Services (as well as HTTP, JSON, KML, and shapefile), so end-users can consume them on mobile and web clients. A companion report, U.S. Geological Survey Scientific Investigations Map 3398 (Como and others, 2018; https://doi.org/10.3133/sim3398) further describes data collection and map preparation and presents 68x22 in. Portable Document...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Long Island,
Nassau County,
New York,
Suffolk County,
depth to water,
This folder contains the raw and processed TEM data and inverted soundings showing resistivity (in ohm-m) with depth for all survey sites that were part of transect 11. In October and November 2016-2017, transient electromagnetic (TEM) data, also called time domain electromagnetic (TDEM) surveys, were acquired at 120 locations in the Genesee Valley, Livingston County, in New York, in order to characterize the subsurface resistivity structure in support of a U.S. Geological Survey groundwater investigation. The TEM data were collected as part of a project to evaluate geophysical methods to characterize the valley-fill sediments, underlying bedrock, and salinity of the subsurface. TEM data were collected using an...
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Lake Gilead during May 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Ambient Monitoring,
Basin & Hydrogeologic Characterization,
Lake Gilead,
New York,
Putnam County,
From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at New Croton Reservoir during June 2017, July 2017, and October 2017. Depth data were collected primarily with a multibeam echosounder. Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Ambient Monitoring,
Basin & Hydrogeologic Characterization,
New Croton Reservoir,
New York,
Water Use and Availability Science,
Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more efficient metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient-boosted regression tree statistical metamodels to MODFLOW/MODPATH derived groundwater...
The U.S. Geological Survey collected groundwater samples from 49 wells used for domestic and small system drinking water supplies in Amador, Placer, Sutter, and Sacramento counties, California in 2017. The sites were sampled for the Sacramento Metropolitan (SacMetro) Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Domestic and small-system wells are commonly screened at shallower depths than public-supply wells. The SacMetro study unit consisted of three “study areas” corresponding to three...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Amador County,
California,
Environment,
GAMA,
Groundwater,
A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for DeSoto County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in DeSoto County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Crop type,
DeSoto County,
Environment,
Florida,
Florida Department of Agriculture and Consumer Service,
Spatial polygons of vegetation zones in 1988 for wetlands; P1, P2, P3, P4, P7, P8, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1988 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2000 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2000 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2009 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2009 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 1979 for wetlands; P3, P4, T3, T4, T5, T6, and T8 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1979 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 2010 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2010 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
Spatial polygons of vegetation zones in 1983 for wetlands; P1, P2, P3, P4, P7, P8, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1983 using Stewart and Kantrud classification system.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cottonwood Lake Study Area,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>AQUATIC ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>LACUSTRINE WETLANDS,
EARTH SCIENCE>BIOSPHERE>TERRESTRIAL ECOSYSTEMS>WETLANDS>PALUSTRINE WETLANDS,
The erosion and active transport of legacy mine tailings (called “stamp sands”) are impacting native fish species and aquatic habitats on a shallow water rocky reef complex along the Keweenaw Peninsula of Michigan called Buffalo Reef. Stamp sands are spreading from an old mill site at the Town of Gay and settling on the reef. Multiple surveys have documented the underwater migration of toxic, metal-rich stamp sands and progressive burial of areas of hard/complex lakefloor, such as cobble fields. The finer-grained, muddy fraction of the mine tailings has been winnowed by waves and currents and transported to unknown locations in deeper waters offshore. High-resolution geophysical mapping of the bay in 2018 revealed...
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