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The Chiles cluster is named for Chiles Volcano in northern Ecuador. The cluster is composed mainly of earthquakes associated with a seismic crisis at the volcano in 2014, including a 6.0 mb event on October 20, 2014. About half the events are recorded at teleseismic distances. The station coverage is reasonably good and all events have depth control. Number of events: 31 Calibration type: direct calibration using data to 1.0 degrees; hypocentroid calibration level = 1.8 km Epicentral calibration range: 2 - 4 km Date range: 19970219 - 20150124 Latitude range: 0.439 - 1.250 Longitude range:...
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Climate,
Colorado,
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. 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 South Dakota. 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...
Categories: Data;
Types: ArcGIS REST Map Service,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anthropogenic factors,
Aquatic habitats,
Atlantic Coast FHP,
Catchment areas,
Connecticut,
(Hyperlink to Official Landing Page for Geospatial Fabric products)
(Hyperlink to Official Landing Page for Geospatial Fabric products)
The Nurek cluster is named for the Nurek Dam and Reservoir along the Vakhsh River in Tajikistan. The cluster includes several earthquakes in the low-5 magnitude range. Most of the seismicity appears to be associated with the reservoir and some of the seismicity may have been induced by the filling of the reservoir. It is notable that the the period 1999-2010 produced no earthquakes large enough to be included in the cluster. Number of events: 43 Calibration type: direct calibration using data to 1.2 degrees; hypocentroid calibration level = 1.2 km Epicentral calibration range: 2 - 5 km Date...
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Colorado Plateau,
Great Basin,
This data set consist of digital data describing (ACEC) Areas of Critical and Environmental Concern for Public Lands in the State of Colorado. ACECs are designated by decisions made during BLM Resource Management Planning. Existing ACECs have a Resouce value tied to them. An example of these resources would be: Threatened and Endangered Plants. Other areas of concern have also been captured within this theme. When the users opens up the attribute table for this theme the user will notice ACEC follows most of names for each area. Some BLM field offices also included RNAs and ONAs with in their layer. ONAs are... Outstanding Natural Areas and RNAs are... Research Natural Area The data set was compiled from the most...
GDP Processing Input Feature Set sb:Denver_fed_center feature from http://my.usgs.gov/catalogMaps/mapping/ows/5058d6ffe4b0eef629c0244f Algorithm Feature Weighted Grid Statistics Dataset dods://cida.usgs.gov/qa/thredds/dodsC/prism Date Range 1895-01-01T00:00:00.000Z - 2011-11-01T00:00:00.000Z Algorithm Parameters FEATURE_ATTRIBUTE_NAME = ID DATASET_URI = dods://cida.usgs.gov/qa/thredds/dodsC/prism DATASET_ID = ppt TIME_START = 1895-01-01T00:00:00.000Z TIME_END = 2011-11-01T00:00:00.000Z REQUIRE_FULL_COVERAGE = true DELIMITER = COMMA STATISTICS = MEAN GROUP_BY = STATISTIC SUMMARIZE_TIMESTEP = false SUMMARIZE_FEATURE_ATTRIBUTE = false FEATURE_COLLECTION =
Categories: Data;
Types: Downloadable
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
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Aquatic Habitat,
Energy Development,
IA,
Landscape-Scale Conservation,
SW Wyoming,
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Aquatic Habitat,
Energy Development,
IA,
Landscape-Scale Conservation,
SW Wyoming,
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Aquatic Habitat,
Energy Development,
IA,
Landscape-Scale Conservation,
SW Wyoming,
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
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