Skip to main content
Advanced Search

Filters: Types: Downloadable (X)

27,268 results (243ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
GDP Processing Input Feature Set sb:Denver_fed_center feature from http://my.usgs.gov/catalogMaps/mapping/ows/505928e1e4b0eef629c0250b Algorithm Categorical Coverage Fraction Dataset http://my.usgs.gov/catalogMaps/mapping/ows/5059336fe4b0eef629c02515 Date Range - Algorithm Parameters FEATURE_ATTRIBUTE_NAME = ID DATASET_URI = http://my.usgs.gov/catalogMaps/mapping/ows/5059336fe4b0eef629c02515 DATASET_ID = OUTPUT.tiff REQUIRE_FULL_COVERAGE = false DELIMITER = COMMA FEATURE_COLLECTION =
Categories: Data; Types: Downloadable
thumbnail
GDP Processing Input Feature Set sb:SF_BAY feature from http://my.usgs.gov/catalogMaps/mapping/ows/5064c1cee4b0050306265490 Algorithm WCS Subset Dataset http://cida.usgs.gov/ArcGIS/services/NLCD_2006/MapServer/WCSServer Date Range - Algorithm Parameters DATASET_URI = http://cida.usgs.gov/ArcGIS/services/NLCD_2006/MapServer/WCSServerDATASET_ID = 1REQUIRE_FULL_COVERAGE = trueFEATURE_COLLECTION =
Categories: Data; Types: Downloadable
thumbnail
Statewide migration barriers for Moose. The severity of the threat to the migration route and the severity of problem noted.
The Tocopilla cluster is named for the city of Tocopilla in northern Chile that is on its southern edge. The cluster includes an Mw 6.3 earthquake on September 11, 2020. A few small events that were recorded only locally are included to improve the statistical power of the calibration, but most events are observed to teleseismic distances. All events have depth control from readings at near-source or local distances, and about one third of the events also have teleseismic depth phases readings that are consistent with the inferred depths. Number of events: 48 Calibration type: direct calibration...
GDP Processing Input Data output of the $feature feature processed with the Area Grid Statistics (weighted) algorithm from http://cida.usgs.gov/gdp/ Feature Set sb:nhru_Judith feature from Algorithm Area Grid Statistics (weighted) Dataset dods://regclim.coas.oregonstate.edu:8080/thredds/dodsC/regcmdata/EH5/nrm/Daily/RegCM3_Daily_nrm_EH5.ncml Date Range 1968-01-01T00:00:00.000Z - 2099-12-31T00:00:00.000Z Algorithm Parameters FEATURE_ATTRIBUTE_NAME = hru_id_JudDATASET_URI = dods://regclim.coas.oregonstate.edu:8080/thredds/dodsC/regcmdata/EH5/nrm/Daily/RegCM3_Daily_nrm_EH5.ncmlDATASET_ID = RTTIME_START = 1968-01-01T00:00:00.000ZTIME_END = 2099-12-31T00:00:00.000ZREQUIRE_FULL_COVERAGE = trueDELIMITER =...
Categories: Data; Types: Downloadable
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...
thumbnail
We used the 1981 historical imagery of the Escalante River, Utah in ArcGIS to quantify channel area and average width and quantify woody riparian vegetation cover in two reaches of the river. Reach 1 was approximately 15 river kilometers (rkms) long and located between Sand and Boulder creeks within Grand Staircase Escalante National Monument. Reach 2 was approximately 16 rkms in length, extending from the Glen Canyon National Recreation Area boundary to just upstream of Choprock Canyon. We delineated the extent of active channel. Active channel was defined as the portion of the channel free of vegetation. We also delineated fluvial geomorphic features such as point bars, mid-channel bars, lateral bars and floodplain....
thumbnail
Data was digitized from original scribe sheets used to prepare the published Geologic Map of Wyoming (Love and Christiansen, 1985), consequently at a 1:500,000 scale.
thumbnail
"Bird Conservation Regions (BCRs) are ecologically distinct regions in North America with similar bird communities, habitats, and resource management issues. They are based on the scale-flexible hierarchical framework of nested ecological units delineated by the Commission for Environmental Cooperation (CEC). These ecoregions encompass areas that are similar in their biotic (e.g., plant and wildlife) and abiotic (e.g., soils, drainage patterns, temperature, and annual precipitation) characteristics. BCRs may be partitioned into smaller ecological units when finer scale conservation planning, implementation, and evaluation are necessary. Conversely, BCRs may be aggregated to facilitate conservation partnerships...
thumbnail
This dataset was compiled and published as a service definition for the purpose of display in an interactive web map of the Wyoming Landscape Conservation Initiative (WLCI). The data layers selected for the dataset are a subset of the data layers in USGS Data Series 683, the Energy Map of Southwestern Wyoming, Part A - Coal and Wind (2012). Data Series 683 includes a geodatabase of all the shapefiles used as data sources. These shapefiles and their metadata can be downloaded from http://pubs.usgs.gov/ds/683/contents/Datafiles/. In order to show the most recent information about mine activity in Wyoming, an additional data layer was added to the service definition: Active Coal Mines (data set credit: Chris Carrol,...
thumbnail
Predicted habitat suitability model (also known as a species distribution model) for the Mojave Ground Squirrel (Xerospermophilus mohavensis) in 5 counties (Inyo, Kern, San Bernardino, and Los Angeles), in California. This model was generated using a maximum entropy (MaxEnt, v3.3.3e) approach. This layer is a probability distribution of 'suitable habitat', where values range from 0 (very low probability of species occurrence) to 1 (very high probability of species occurrence). As with any model, prudence should be taken when evaluating model predictions or when applying the predictions to real world assessments of habitat. The logistic output values were rescaled to include the set [0,1] by subtracting the minimum...
thumbnail
Predicted habitat suitability for the Mojave Ground Squirrel (Xerospermophilus mohavensis) after the LOW, MEDIUM and HIGH anthropogenic (urban, roads and cleared vegetation) and utility-scale renewable energy development (wind, solar and transmission corridors) scale factors have been applied. Scale factors are discussed in Inman et al. (2013). These data cover 5 counties (Inyo, Kern, San Bernardino, and Los Angeles) in California and were generated using a maximum entropy (MaxEnt, v3.3.3e) approach. Observation records for the targeted species were derived from a conglomerate of local sources, and are provided electronically along with this model. The model was based on 440 input localities derived from 629 observations...


map background search result map search result map Wyoming Faults, scale 1:500k Coal Mines Trout Unlimited-Coldwater Fisheries Data Condition Index - Aquatic - Focal Species Moose Migration Barriers for Wyoming at 1:100,000 GDP process output Fri Sep 28 10:32:36 MDT 2012 Lake Mendota Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances psa30 Energy Map of Southwestern Wyoming, Coal and Wind Xerospermophilus mohavensis Historic Habitat USRED and Anthro Scale Factors Xerospermophilus mohavensis Historic Habitat Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model Stewardship A polygon shapefile of bottomland vegetation cover and geomorphic features of the Escalante River, Utah mapped from 1981 aerial imagery Chile, Tocopilla: 2007-2020 Lake Mendota A polygon shapefile of bottomland vegetation cover and geomorphic features of the Escalante River, Utah mapped from 1981 aerial imagery GDP process output Fri Sep 28 10:32:36 MDT 2012 Moose Migration Barriers for Wyoming at 1:100,000 Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model psa30 Chile, Tocopilla: 2007-2020 Xerospermophilus mohavensis Historic Habitat USRED and Anthro Scale Factors Energy Map of Southwestern Wyoming, Coal and Wind Trout Unlimited-Coldwater Fisheries Data Coal Mines Condition Index - Aquatic - Focal Species Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Xerospermophilus mohavensis Historic Habitat Wyoming Faults, scale 1:500k Stewardship