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The Gazli cluster is named for the town of Gazli in northwest Uzbekistan. The source region was nearly aseismic until April 8, 1976 when a large (Ms 7.0) earthquake initiated several years of very active seismicity, including another Ms 7.0 event in May 1976 and a third Ms 7.0 event in March 1984. Low-level activity continues currently. It is generally believed that the sequence represents an episode of induced seismicity related to large-scale gas extraction industry in the area. The cluster is formed mainly from events that have depth control from teleseismic relative depth phases, plus one event, on June 25, 1991, that was recorded by a temporary seismic network (operated by LGIT, Grenoble, France) and was well-enough...
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The Valparaiso cluster is named for the nearby city of Valparaiso, Chile. The cluster is based on a set of arrival time readings from a deployment of ocean bottom seismometers, hydrophones and a temporary land-based stations for several months in 2001 that were kindly provided by Frederik Tilmann (GeoForschungsZentrum). Most of the recorded events are fairly small, the largest having magnitude 4.8mb, but 34 events could be well located with free-depth solutions and linked to larger events in the region through readings at permanent seismograph stations. The remaining events in the cluster are ones for which depth control is available from at least one station close to the epicenter, i.e., within a distance of 1-1.5...
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The Jiashi cluster is named for Jiashi County of the Xinjiang Autonomous Region of NW China. It is composed mainly of events related to the earthquake sequence in early 1997, including two M5.9 events on January 21 and an M6.1 event on April 11. There were many other moderate-sized events in the sequence, which occurred near the western margin of the Tarim Basin and the border with Kyrgyzstan. As a result this cluster is very rich in arrival time data at far-regional and teleseismic distances. Number of events: 125 Calibration type: direct calibration using data to 1.2 degrees; hypocentroid calibration level = 2.7 km Epicentral calibration range: 3 - 5 km Date range: 19771218 - 20041007 Latitude range: 39.303...
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This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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Synthesis of USGS and other data sources to represent undiscovered oil and gas resources for the State of Montana. Prepared by Karen Jenni, USGS (kjenni@usgs.gov). These datasets were prepared by Karen Jenni (kjenni@usgs.gov) for the purposes of this presentation. See below for data provenance and analysis details. Undiscovered Resources by Province Total undiscovered resources by USGS “Province,” displayed in millions of barrels of oil equivalent (BOE). Province and AU boundaries were downloaded from the National Oil and Gas Assessment web page: http://energy.usgs.gov/OilGas/AssessmentsData/NationalOilGasAssessment.aspx#.V3WTg_krIUG Below are the links for each province. To get the province and AU boundaries:...
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The Aqaba cluster is named for the Gulf of Aqaba, between the Sinai Peninsula and Saudia Arabia. The cluster includes significant earthquake sequences in 1993 (5.8 MS) and 1995 (7.1 MS). After the 1995 sequence a number of seismic stations were installed around the Gulf and readings from those stations for more recent events form the basis for the calibration. Number of events: 49 Calibration type: direct calibration using data to 1.0 degrees; hypocentroid calibration level = 1.7 km Epicentral calibration range: 2 - 5 km Date range: 19930730 - 20161129 Latitude range: 28.488 - 29.345 Longitude range: 34.530 - 34.979 Depth range: 12.0 - 30.8 Magnitude range: 3.7 - 7.1
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The Magna cluster is named for the town of Magna, Utah, U.S.A., on the southern shore of the Great Salt Lake and the northwestern suburbs of Salt Lake City. The cluster is built around a 5.7 Mw earthquake there on March 18, 2020. The next largets event is a 4.6 Mw aftershock. The local network is quite dense so small, earlier events in the area could be included in the cluster. 18 of those events were relocated in a free-depth inversion to refine the crustal velocity model and event depths. All events in the cluster have depth control from near-source and local distance arrival times. Number of...
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This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
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This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary. Reach breaks were determined by large topographic shifts and/or tributary junctions by John Dohrenwend. Please see the project report for more details.
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The Simeulue cluster is named for the island of Simeulue off the north coast of Sumatra, Indonesia. The cluster is based on 33 events recorded by a temporary network of OBS's from October 2005 to February 2006 to record aftershocks of the Mw 8.6 earthquake of March 28, 2005 (Nias-Simeulue), which was itself probably triggered by the great Sumatra earthquake of December 26, 2004 (Mw 9.1). The Nias-Simeulue earthquake is included in the cluster. Readings from the OBS network (kindly provided by Frederick Tilmann, GFZ Potsdam) provide the calibration of the cluster, which was expanded with moderate-sized events since 2006 to improve the set of teleseismic arrival time data. Many events in the cluster have good datasets...
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This dataset consists of the boundary extent used to evaluate regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
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This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
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The Toktogul cluster is named for town of Toktogul, Kyrgyzstan, and the nearby Reservoir of the same name. The cluster is divided into two subclusters, one north of the reservoir and one to the south. The cluster includes the Ms 7.3 earthquake on August 18, 1992 that devastated the town of Susamyr about 40 km to the east, and a half-dozen of the larger aftershocks. On December 22, 2009 a large (4.4 mb) chemical explosion was used in the construction of the hydroelectric dam that created the Toktogul Reservoir. The shot, known as "Kambarata" and included in the cluster, was well instrumented and serves as a calibration event for the cluster. Calibration of the cluster is done with direct calibration, but the ground...
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This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of...
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Annual average wind resource potential for the state of New Mexico, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system.


map background search result map search result map New Mexico Wind Resource at 50 Meters Above Ground Level Denver_fed_center Menlo_demo mi Wind Turbines in Colorado, 2011 OF_new_nhru_04232013 nhru_18 Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management Undiscovered Oil and Gas Resources for State of Montana Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Access to the Site for Relative Cost of Restoration Model Boundary extent for datasets of regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, Colorado China, Jiashi: 1977-2004 Uzbekistan, Gazli: 1976-2015 Conservation Planning for the Colorado River in Utah - Bottomland Boundary of the Colorado River Divided at Homogeneous River Reaches Chile, Valparaiso: 2001-2017 Saudi Arabia, Aqaba: 1993-2016 Kyrgyzstan, Toktogul: 1992-2017 Indonesia, Simeulue: 2005-2018 USA, Utah, Magna: 1978-2020 Denver_fed_center USA, Utah, Magna: 1978-2020 Saudi Arabia, Aqaba: 1993-2016 China, Jiashi: 1977-2004 OF_new_nhru_04232013 mi Kyrgyzstan, Toktogul: 1992-2017 Menlo_demo Wind Turbines in Colorado, 2011 New Mexico Wind Resource at 50 Meters Above Ground Level nhru_18 Undiscovered Oil and Gas Resources for State of Montana Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management