Filters: Tags: {"scheme":"Common geographic areas"} (X) > Date Range: {"choice":"month"} (X)
294 results (16ms)|
Filters
Date Types (for Date Range)
Types Contacts
Categories
Tag Types Tags (with Scheme=Common geographic areas) |
During the spring and summer of 2022, the U.S. Geological Survey collected water-quality samples for nutrient analysis at 45 stations across the state of Connecticut and adjacent areas of New York and Rhode Island to better understand the groundwater discharge component of nitrogen loading to the Long Island Sound. The targeted stations were located in small drainage basins (less than 50 square kilometers) in the southern portion of the Long Island Sound watershed. Sites were selected randomly from groups based on expected drivers or controls on baseflow nitrogen loads. Factors used in the grouping included four metrics calculated for the upstream watershed: percent impervious cover, septic system density, percent...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Connecticut,
Connecticut Coastal,
Hydrology,
Long Island Sound,
New York,
The Murderer’s Creek mule deer herd winters south of U.S. Route 26 in river valleys near Canyon Creek, Murderer’s Creek, and the South Fork John Day River. The herd’s winter ranges are characterized by western juniper, big sagebrush, and Columbia Basin grassland communities, with medusahead and other non-native grasses invading lower elevations. In the spring, mule deer mainly migrate southeast to summer ranges distributed throughout Gilbert Ridge and the Aldrich Mountains, some traveling as far south as Devon Ridge and east to Ironside Mountain. Summer ranges in these areas contain mixed-conifer forests, ponderosa pine, and low sagebrush communities. A smaller portion of this herd migrates northeast in the spring,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: John Day,
Oregon,
United States,
animal behavior,
biota,
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 Green Bay Restoration Assessment (GBRA). 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...
The Trout Creek mule deer herd is composed of residents and migrants that make short-range elevational migrations. Mule deer mainly winter at lower elevations surrounding Blue Mountain and the slopes of the Oregon Canyon Mountains. In spring, some of these mule deer migrate to higher elevations in the Oregon Canyon Mountains. Other members of the herd winter in the southwestern portion of the herd’s range, inhabiting areas near Hawks Mountain, the Pueblo Mountains, and the foothills of the Trout Creek Mountains. These mule deer migrate to summer ranges on the crests of Holloway Mountain and the Trout Creek Mountains. Notably, one mule deer formerly wintering on the Trout Creek Mountains migrated south from a summer...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fields,
Oregon,
United States,
animal behavior,
biota,
The Trout Creek mule deer herd is composed of residents and migrants that make short-range elevational migrations. Mule deer mainly winter at lower elevations surrounding Blue Mountain and the slopes of the Oregon Canyon Mountains. In spring, some of these mule deer migrate to higher elevations in the Oregon Canyon Mountains. Other members of the herd winter in the southwestern portion of the herd’s range, inhabiting areas near Hawks Mountain, the Pueblo Mountains, and the foothills of the Trout Creek Mountains. These mule deer migrate to summer ranges on the crests of Holloway Mountain and the Trout Creek Mountains. Notably, one mule deer formerly wintering on the Trout Creek Mountains migrated south from a summer...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fields,
Oregon,
United States,
animal behavior,
biota,
South of Interstate 40 elk reside primarily in Arizona’s Game Management Unit (GMU) 8. Upon completing population surveys in 2021, approximately 4,000 elk were estimated to inhabit GMU 8. Their summer range is primarily characterized by high-elevation ponderosa pine forests and grasslands. The elk radiate out from various origin points within their summer range to their winter range, comprised of rims of canyons in the area, including Sycamore Canyon, Tule Canyon, and Government Canyon. This series of canyons creates an impermeable southern boundary for this herd. Their winter range along the rim country is primarily characterized by pinyon-juniper, manzanita, and scrub oak. Interstate 40 is the primary threat to...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Flagstaff,
United States,
animal behavior,
biota,
The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly streamflow metrics at 6,347 U.S. Geological Survey streamgages located in the conterminous...
Categories: Data;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
United States,
Water Resources,
droughts,
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance...
The LANDFIRE (LF) Canadian Forest Fire Danger Rating System (CFFDRS) product depicts fuel types as an identifiable association of fuel elements of distinctive species, form, size, arrangement, and continuity. CFFDRS exhibits characteristic fire behavior under the specified burn conditions. In LF 2022 Canadian fuel models are derived from the Fuel Model Guide to Alaska Vegetation (Alaska Fuel Model Guide Task Group, 2018) and subsequent updates. The LF CFFDRS product contains the fuel models used for the Fire Behavior Prediction (FBP) system fuel type inputs. Default values assigned to the Canadian Fuel Models required to run the Prometheus fire behavior software (Prometheus, 2021) are added as attributes to the...
LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine the starting point of embers in the spotting model, wind reductions, and the volume of crown fuels. To create this product, plot level CH values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance Canopy Cover and CH are used as predictors of disturbed CH using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and time since...
LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LF 2022 Fuel Disturbance (FDist) uses the latest Annual Disturbance products from the effective disturbance years of 2013 to 2022. FDist is created from LF 2022 Historical Disturbance (HDist) which in turn aggregates the Annual Disturbance products. FDist groups similar disturbance types, severities and time since disturbance categories which represent disturbance scenarios within the fuel environment. FDist is used in conjunction with Fuel Vegetation Type (FVT), Cover (FVC), and Height (FVH) to calculate Canopy Cover (CC), Canopy Height (CH), Canopy Bulk Density (CBD), Canopy Base Height (CBH),...
The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Climatology,
Geography,
Hydrology,
Limnology,
This U.S. Geological Survey (USGS) data release contains meteorological, water temperature, light (photosynthetically active radiation and illumination), and multichannel fluorescence sensor data from the Finger Lakes Region of New York, during the fall of 2018 and the summer and fall of 2019 and 2020. It also includes all sensor data and associated discrete sample data, at the near surface (top), mid-depth (middle) and near bottom (bottom) depths. Data were collected from three Advanced Monitoring Pilot study platforms in open water at Seneca Lake (USGS station number 425027076564401), Owasco Lake (USGS station number 425327076313601), and Skaneateles Lake (USGS station number 425606076251601) in 2018 and 2019,...
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,
The data in this release were used to help evaluate and understand the distribution of fish and invertebrates as well as ecological response to streamflow, water temperature, and water chemistry within the Fountain Creek Basin. This data release consists of invertebrate data collected between 1985 and 2022, fish data collected between 2003 and 2022, as well as the data neccesary to recreate the tables and figures in the associated U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sirXXXXXXXX). See Zuellig and others (2022) for sampling methodology and site information.
Categories: Data Release - In Progress;
Tags: Aquatic biology,
Benthic environments,
Colorado,
Community ecology,
Ecology,
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,...
An intrusion into Kīlauea’s upper East Rift Zone during June 17–19, 2007, during the 1983–2018 Pu‘u‘ō‘ō eruption, led to widespread ground cracking and a small (~1,525 m3) eruption on the northeast flank of the Kānenuiohamo cone, about 6 km upslope from the Pu‘u‘ō‘ō vent. Transmitted and induced very-low-frequency (VLF) magnetic fields were measured with a handheld VLF receiver along transects spanning the dike trace, and zones of ground cracking related to the intrusion were mapped. This dataset records the density and vesicularity of selected lava and tephra samples collected from the June 2007 Father's Day eruption site. The density of the basalt erupted was determined by measuring the weight of spatter and lava...
Categories: Data;
Tags: East Rift Zone,
Episode 56,
Father's Day event,
Hawaii,
Hawaii Volcanoes National Park,
In December 2022, the U.S. Geological Survey (USGS) flew uncrewed aerial systems (UAS) to collect very high-resolution imagery and lidar data of Vicksburg National Military Park to address areas of substantial landslide hazard within the park. The fine spatial resolution and high accuracy of this data are needed to fully characterize and quantify landslides and to understand the potential for continued landslide activity in other areas of the park. UAS flights were conducted by the USGS National Uncrewed Systems Office (NUSO). This data release publishes the 0.5m DTM created from the UAS-borne lidar data collected in December 2022.
This dataset includes benthic algae community composition data from three sites in the upper White River Basin, Colorado, in 2022. Benthic algae were identified as genus or species, and biomass and biovolume were provided for taxa.U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District. Data collection was funded by the U.S. Geological Survey Water Mission Area as part of the Next Generation Water Observing System Upper Colorado River project.
|
|
