Filters: Categories: Data (X) > Extensions: Shapefile (X)
10,906 results (240ms)|
Filters
Date Range
Extensions (Less)
Types (Less)
Contacts (Less)
Categories (Less)
Tag Types
|
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...
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,
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...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
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....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Escalante River, Utah,
Riparian ecosystems,
Southwestern U.S.,
biota,
channel narrowing,
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: abiotic,
geologic fault,
map,
natural,
physiographic
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Desert Fish Habitat Partnership. 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 boundary of the Desert Fish Habitat Partnership. 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;...
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,
This data set maps sagebrush mortality in Utah delineated by Utah Division of Wildlife Resources personnel during the summer of 2003.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Utah,
die-off,
drought,
mortality,
sagebrush
This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of bottomland areas. 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 of ground qualities. Due to the "snapshot" nature of the aerial photos,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
In 30 surveys, we mapped 21,486 birds comprising 88 species “interact with” the intertidal habitat. Each full “survey” represents a unique month-year-tide combination (but not necessarily a unique day). Specifically, for each of 15 months between January 2012 and March 2013 we conducted separate, but temporally adjacent high-tide and low-tide bird surveys (30 in total) throughout the intertidal habitats. Back to back surveys within the same month are not meant to be independent measures of bird abundance and should be averaged to get an idea of bird abundance in a particular month. Birds were counted if they were in the intertidal habitat. We also counted some species, like raptors, if they were perched in adjacent...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Carpinteria,
Carpinteria Salt Marsh Reserve,
Santa Barbara County,
bird,
This shapefile contains sub-indices comprised of various anthropogenic land use/covers respresentative of the risk of potential habitat degradation to streams within the state of Hawaii. This file is an updated version of 'nfhap_hci_hawaii.shp' and incorporates the suggestion from the Hawaii Fish Habitat Partnership of removing trails and paths from the road network to help better represent amounts of disturbance in remote areas such as the Na Pali coast. Subindices are summarized for local and network catchments specific to perennial stream reaches throughout the state. The local and network catchments were developed using a modified version of the 1:24,000 scale National Hydrography Dataset (NHD) as a baselayer....
New active-source shallow seismic (shear-wave and acoustic-wave) measurements were obtained at 18 prioritized seismic monitoring station locations in the north San Francisco Bay area to measure site-specific ground motion amplification effects, soil depth, depth to bedrock (Z1.0 Vs=1 km/s), calculate site specific velocity-depth profiles and Vs30, and develop NEHRP site classifications for each location. This study was led by Principal Investigators Jamey Turner, Cooper Brossy, and Daniel O’Connell and field data were acquired by Glendon Adams and Lincoln Steele. Seismic monitoring sites that recorded high PGA values during the M6.0 Napa earthquake, proximal to higher population densities, and sites recommended...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
EHP,
Earthquake Hazards Program,
GHSC,
Geologic Hazards Science Center,
This data release contains the boundaries of assessment units and input data for the assessment of continuous oil and gas resources in the Delle Phosphatic Member of the Mississippian Woodman Formation, western Utah, eastern Nevada and southeastern Idaho. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar...
The Okinawa cluster is named for the island of Okinawa in the Ryukyu Islands. Although there are deeper events in the area, only events with depths less than about 35 km were retained in the cluster. The cluster contains one large event, an Ms 6.5 event on March 2, 1980 to the west of the island that is likely associated with back-arc spreading. All events have depth constraint from arrivals at near- or local-distances, or from teleseismic depth phases in a few cases. Although the setting is broadly oceanic, the Ryukyu Islands are thought to be part of a remannt continental sliver, so it is not so surprising that a crustal model very close to ak135 fits the observed arrival time data well. ...
The Siah Kuh cluster is named after the village of Siah Kuh (Black Mountain) in Gilan Province, Iran. It consists of only 16 events, the largest being the M4.3 event on September 5, 2005. There's a fairly large azimuthal gap to the east, but the cluster is well calibrated at a level of 1.4 km by using data up to 1.6 degrees. Focal depths of almost all events are constrained with local-distance readings, except for the oldest event in the cluster (January 6, 2005) which is set to a default of 11 km. Number of events: 16 Calibration type: direct calibration using data to 1.6 degrees; hypocentroid...
The Hakodate cluster is named for the city of Hakodate at the south end the island of Hokkaido, Japan. The cluster extends southward to the northern tip of Honshu. Over half the events in the cluster are associated with an earthquake swarm in late March 2000 on the southern flank of Mt. Usu, an active volcano in southern Hokkaido. The distribution of stations is quite good and location calibration is straight-forward. Number of events: 39 Calibration type: direct calibration using data to 1.0 degrees; hypocentroid calibration level = 1.1 km Epicentral calibration range: 1 - 2 km Date range:...
The “Biophysical assessment for indemnity selection of federal lands in Colorado: Indemnity Unit locations” dataset delineates the spatial locations of 89 Indemnity Units, comprising 339 parcels of federal lands. These lands, currently managed by the Bureau of Land Management (BLM), are under consideration for transfer of ownership to the State of Colorado in compensation for federal lands not available for transfer at the time of statehood. The Indemnity Units total 23,130 acres of surface and mineral estate and 6,150 acres of mineral estate only. The specific land parcels to be transferred to the State will be finalized after an environmental analysis is completed, as required by the National Environmental Policy...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
boundaries,
cadastral areas
The Ahel cluster is named for the village of Ahel in Fars Province, Iran. This cluster consists of 184 events including the October 31, 1956 Gowdeh earthquake (Magnitude 6.6) and fourteen more older events prior to 1980. Calibration is greatly aided by data from a temporary network deployed by Farzam Yamini-Fard (IIEES). A.R. Ghods (IASBS) repicked many of the arrival times from Iranian networks, including S-P data from the INSM network of accelerometers (BHRC). Focal depths of 23 events are constrained with near-source data, 15 are set by local-distance data, and reminder are fixed to a cluster default of 12 km. Further information about this cluster is contained in: Karasözen et al. (in preparation), Seismotectonics...
The Turt cluster is named for a small settlement on the northeastern shore of Lake Khovsgol in northern Mongolia. The cluster crosses the border with Russia, into Buryatia. The cluster was formed around a 6.7 Mw earthquake on January 11, 2021. This event was followed by a large number of aftershocks which could have been included in the cluster but the coverage from local stations for these events was unbalanced and the location calibration tended to become unstable when a large number of them were included. Most of them were only recorded at regional distances. Several of the largest aftershocks are included. It was difficult to obtain adequate azimuthal coverage for this cluster but the final selection of events...
The Potenza cluster is named for the city of Potenza in the region of Basilicata in southern Italy. It includes the Irpinia earthquake (Ms 6.8) on November 23, 1980, and includes a number of moderate-sized events in recent years. The number of seismic stations in the source region increased markedly in 1999 and again in 2010, making direct calibration very easy. The velocity structure was refined with a subset of recent events for which free-depth relocations could be done. All events have depth constraint from near-source or local distance readings, or for a couple events, teleseismic depth phases. ...
|
|
