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Current West Nile Virus risk (0 to 100), with highest risk being 100 across WYB study area. Data was attained from Ryan Harrigan (iluvsa@ucla.edu) at the Center for Tropical Research, Institute of the Environment, University of California, Los Angeles. work is being currently submitted to Global Change Biology.
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From these recordings, we derived resonance frequencies using the GRILLA software (MOHO, S.R.L.), and then inferred potential regolith thicknesses based on likely shear wave velocities, Vs, intrinsic to the underlying sediment. Three potential shear wave velocities (Vs = 300m/s, 337m/s, 362 m/s) were considered for Farmington River watershed...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Connecticut,
Farmington River,
Hydrology,
USGS Science Data Catalog (SDC),
groundwater,
The mule deer (Odocoileus hemionus) of the Pueblo of Santa Ana herds are primarily non-migratory, with two distinct winter ranges separated by U.S. Route 550. The winter ranges consist primarily of Chihuahuan semi‐desert grassland, dominated by black grama (Bouteloua eriopoda), galleta (Pleuraphis jamesii), mesa dropseed (Sporobolus flexuosus), and fourwing saltbush (Atriplex canescens), with higher elevation sections consisting of pinyon-juniper woodland and juniper savannah. There was no movement between the two winter ranges, with only individuals from the winter range northeast of US 550 crossing the highway west of the Jemez Canyon Reservoir. Two individuals from the winter range northeast of US 550 migrated...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: New Mexico,
Santa Ana Pueblo,
United States,
animal behavior,
health,
This file contains the combined Public Water Supply data through 2004 for the state of Wyoming. The data are supplied by the Operator Certification Program in the Wyoming DEQ Water Quality Division. Please contact the Wyoming DEQ with any questions concerning these offline data.
The mule deer (Odocoileus hemionus) of the Jemez Springs herd winter in the southwestern Jemez Mountains, south and east of the town of Jemez Springs. The area has experienced two severe wildfires, the Las Conchas and Thompson Ridge fires, within the last decade, burning a total of 180,555 acres. The data used in this report was collected to examine the responses of mule deer to these wildfires and forest restoration treatments. The winter range is located among the foothills of the Jemez Mountains, consisting primarily of pinyon-juniper woodlands. Individuals migrated an average of 26.1 miles, either to the western edge of the Jemez Mountains, near Blue Bird Mesa, or to the Valles Caldera. The central migration...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Jemez Mountains,
New Mexico,
United States,
animal behavior,
health,
This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
This dataset was developed for the BLM-Rapid Ecoregional Assessment (REA) project for the Seward Peninsula - Nulato Hills - Kotzebue Sound Lowlands. This datasets represents the Change Agent, pests and disease, specifically identifiying beetle infestations. The information was collected, cooperatively by aerial surveys by both the USFS, Forest Health Protection (FHP) and ADNR, Div. of Forestry with beetle data clipped to the REA project boundary. The data represents a 10 year cumulative effect for 1989-2010.
Kolmakof Mine is the only inactive mine in the study area that contains mercury deposits and recorded contamination.
Locational data was derived from the Alaska Department of Environmental Conservation (DEC) Contaminated Sites Database and cross referenced to the DEC Contaminated Sites with Mercury report (http://dec.alaska.gov/eh/mercury/contaminatedSites.html) in order to identify sites that were active and contaminated with mercury. The attribute Hg_Cont was added to identify and sort these sites (1=mercury contaminated)
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
Protected lands within the Mississippi River Basin (MRB).The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas....
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Agricultural Research Service,
Alabama (AL),
Alaska (AK),
American Samoa (AS),
Arizona (AZ),
This archive contains the logistic mapping output vulnerability difference rasters at the conceptual well locations. Data are provided in rasters containing the differences between estimated probabilities of nitrate concentrations greater than 2 milligrams per liter at hypothetical 150 feet and 300 feet deep wells for sequential five-year categories when one or both of the predicted probabilities was equal to or greater than 50 percent.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Drinking Water,
Groundwater,
Puget Sound,
Washington,
Wells,
This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the Interpreting Indicators for Rangeland Health (IIRH) method. The IIRH method is a qualitative assessment of rangeland health, defined as "the degree to which the integrity of the soil, vegetation, water, and air, as well as the ecological processes of the rangeland ecosystem are balanced and sustained." Attributes include the final rating for IIRH indicators: hydrologic function, biotic integrity, and soil/site stability (see Entity/Attribute Section for exact details on attributes). Data were collected and managed by BLM Field Offices,...
This data represents areas of forest damage due to insect infestation, fire, flood, landslides, and windthrow. The information was collected, cooperatively by aerial surveys by both the USFS, Forest Health Protection (FHP) and ADNR, Div. of Forestry. Surveys are conducted primarily in July and August so that pest "signatures" may be identified during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated such that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Surveys are flown in Southeast Alaska, Southcentral Alaska and Interior Alaska. The data represents a 10 year cumulative...
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
This archive contains shapefiles of the grid of conceptual well locations and study area.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Drinking Water,
Groundwater,
Puget Sound,
Washington,
Wells,
This data release is part of a study examining the occurrence of chromium and natural and anthropogenic hexavalent Chromium, Cr(VI) in groundwater. Data will be used to estimate naturally-occurring background Cr(VI) concentrations upgradient, near the plume margins, and downgradient from a mapped Cr(VI) contamination plume near Hinkley, CA (Izbicki and Groover, 2016). The data release includes grain size distribution, photographic, and associated chemical and mineral analysis data for 36 sediment core and alluvium samples as well as Scanning Electron Microscopy analysis on select grains from magnetic and heavy mineral separates collected near Hinkley, CA. The cooperator for this study is the Lahontan Regional...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Environmental Health,
Geochemistry,
Hinkley,
USGS Science Data Catalog (SDC),
West Nile Virus risk year 2050 (0 to 100), with highest risk being 100 across WYB study area. Data was attained from Ryan Harrigan (iluvsa@ucla.edu) at the Center for Tropical Research, Institute of the Environment, University of California, Los Angeles. work is being currently submitted to Global Change Biology.
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