This data shows the location and details of bridges and major culverts on freeways and arterial roads in Victoria. Structure details such as bridge condition rating, bridge type, feature crossed, length, width, date of construction, date of last inspection and height clearance are included.  Note that some of the details in this dataset, particularly height clearance, should not be relied upon to be 100% correct. This data should be used as a guide only and does not necessarily show the current, true and correct details for all structures.  About this dataset 

The California Geological Survey published maps of “Earthquake Shaking Potential for California” in 1999 and has revised the maps following each update of the National Seismic Hazard Maps (NSHM). Similar to the NSHMs, the Earthquake Shaking Potential Maps for California depict expected intermediate period (1s or 1hz) ground motions with 2% exceedance probability in 50 years. Unlike the NSHMs, Earthquake Shaking Potential Map for California incorporates anticipated amplification of ground motions by local soil conditions. The current update of the Earthquake Shaking Potential Map for California (California Geological Survey Map Sheet 48) is based on the 2014 NSHMs developed by the United States Geological Survey (Petersen et al., 2014), a new map of the average shear wave velocity in the upper 30m of the earth’s surface for California (Wills et al., 2015), and a new semi-empirical nonlinear site amplification model (Seyhan and Stewart, 2014).

This resource contains data on active faults in California that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). This resource is a compilation of Quaternary Active Fault features compiled by the USGS in cooperation with the California Geological Survey and accessed on July 11, 2012 by the AZGS. The Quaternary Fault and Fold Database for the Nation can be accessed online at http://earthquake.usgs.gov/qfaults/ through a user-friendly interface developed by the U.S. Geological Survey. This is part of the first nationwide compilation to provide up-to-date and comprehensive geologically based information on known or suspected active faults. The data are available as a Web feature service, a Web map service, an ESRI Service Endpoint, and an Excel workbook for the National Geothermal Data System. Each feature in an active fault dataset (record or row in the worksheet) is characterized by a unique combination of features, as well as being physically connected or inferred to be connected spatially in the Earth. For mapped active faults, the deformation style is assumed to be brittle (as opposed to ductile). The workbook contains 6 worksheets, including information about the template, instructions on using the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view), and vocabularies (data valid terms) used to populate the spreadsheet. Fields in the data table include FeatureURI, Name, FullName, ParentFeatureURI, Label, Description, Symbol, OtherID, SpecificationURI, FeatureType, GeologicHistory, RepresentativeAgeURI, YoungerAgeURI, OlderAgeURI, IntervalSince Movement, Shape, ObservationMethod, PositionAccuracyMeters, PositionAccuracy, Displacement, SlipRate, SlipAccumulationInterval, MovementType, MovementSense, DipDirection, DateMostRecentEvent, RecurrenceInterval, TotalSlip, Source and MetadataURI.--NGDS

The purpose of compiling the CEUS-SSC Project database was to organize and store those data and resources that had been carefully and thoroughly collected and described for the TI Team’s use in characterizing potential seismic sources in the CEUS. An important goal for the development of this database was to document sources and dates for all information that was initially assessed for the CEUS-SSC Project, specifying exactly what data and resources were considered, and provide for pertinent future data sets to be incorporated as they were generated for the project. Development of the project database began at the inception of the project to provide TI Team members with a common set of data, maps, and figures for characterization of potential seismic sources. The database was continually updated during the course of the project through the addition of new references and data collected by TI Team members and project subcontractors, including information presented in project workshops and provided through PPRP review documentation. This appendix presents the contents of the project database, as well as information on the workflow, development roles, database design considerations, data assessment tasks, and management of the database. Based on the CEUS Project Plan, the project database included, but was not limited to, the following general types of data: Magnetic anomaly Gravity anomaly Crystalline basement geology Tectonic features and tectonic/crustal domains Tectonic stress field Thickness of sediments Crustal thickness VP at top of crystalline basement Seismic reflection data at Charleston, South Carolina Earthquake catalog Quaternary faulting and potential Quaternary features Mesozoic rift basins Paleoliquefaction sites Topography and bathymetry Liquefaction dates from published literature for the Wabash, New Madrid, and Charleston seismic zones Index map showing locations of published crustal scale seismic profiles and geologic cross sections

Derelict Sites Street address, building number and Dublin area code of derelict sites within the City Council Boundary. Indicates whether the buildings are listed or otherwise. Also gives a brief description as to where sites are in proximity to in the case of no building number.

This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data). The uploaded data are contained in two data files for each data category: A shape (SHP) file containing the grid, and a data file (CSV) containing the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to five data types: 1. well data 2. geologic maps 3. fault maps 4. geochemistry data 5. geophysical data

The S_Fld_Haz_Ar table contains information about the flood hazards within the flood risk project area. These zones are used by FEMA to designate the SFHA and for insurance rating purposes. These data are the regulatory flood zones designated by FEMA.

This dataset contains point features representing building locations of fire stations in the United States, District of Columbia, Puerto Rico and the U.S. Virgin Islands. The purpose of this collection is to represent the fire station locations on general purpose cartographic products. The data includes manned fire stations and buildings from which a fire response occurs, such as a volunteer fire department building to which fire fighters report for duty, but which is not continuously manned. The data includes both private and governmental entities. In some cases, where fire stations are known to exist but could not be located on a specific building, such as on a military base, airport or manufacturing location, a point was placed at the entrance or the general center of the facility or complex. Some fire locations are approximate, most prevalently in rural areas. Fire training facilities are not included unless these locations also have an active fire station. Locations solely for storing or maintaining fire equipment, or fire stations without a permanent location, were generally excluded.

This data includes offices where Forest Service employees work or where IT equipment is housed. There is no Personally Identifiable Information (PII) data in this dataset, nor telework locations. It includes owned, leased and shared offices. Shared offices are buildings owned or leased by another entity (i.e. a university, other federal agency, etc.) but one or more Forest Service employee(s) work at the building or IT equipment is housed at the building.Depicts the spatial locations for Office locations from the Forest Service CIO Asset Management Office. It includes owned, leased and shared offices. Data is collected, maintained and stewarded by the CIO Asset Management Office. EDW data loading tools extract the office location data from the CIO Asset Mgt. database. Latitude and longitude values are validated and then converted to spatial point data. Spatial point data and associated attributed data describing the office location are inserted into the Office Location Feature class in the Enterprise Data Warehouse. Changes to the Office Location data are checked daily by EDW data loading tools. Data is updated weekly. Data is visible at all scales and zoom levels. Metadata and Downloads.

This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data. See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

This report presents the geologic framework critical in understanding spring discharge and the hydrogeology in Black Canyon directly south of Lake Mead below Hoover Dam, Nevada and Arizona. Most of the springs are thermal 2 Geologic Framework of Thermal Springs, Black Canyon, Nevada and Arizona with temperatures as much as 45 degrees C. This study is part of a hydrogeologic and geochemical study of the Black Canyon thermal springs by the U.S. Geological Survey, funded by the National Park Service and National Cooperative Geologic Mapping Program of the U.S. Geological Survey. The study consisted of (1) compilation of existing geologic mapping, augmented by new field geologic mapping and geochronology (Felger and others, 2014), (2) collection and analysis of structural data adjacent to the springs of interest (appendix 1; Anderson and Beard, 2011; Beard and others, 2011a), and (3) construction of regional cross sections (pl. 1). The most significant results identify faults, fracture zones, and rock characteristics that influence the hydrogeology of Black Canyon. Additional results include refinement of the volcanic stratigraphy based on field mapping and new geochronology. This report will be integrated into a companion hydrogeologic report that includes new geochemical and spring flow data that describes groundwater components of Black Canyon thermal springs (M. Moran, written commun, 2013).

Modeling and Optimizing Surfactant Structure to Improve Oil Recovery by Chemical Flooding at the University of Texas DOE/BC/10841-10

Useful information and tools for calculating the Levelized Cost of Energy (LCOE) and MHK Cost Breakdown Structure. Includes a structure for calculating the capital expenditures and operating costs of a marine energy technology or device, reference resource data for both wave and tidal, and LCOE reporting guidance. These tools are meant to be used to help calculate the Levelized Cost of Energy (LCOE) for an MHK or MRE technology or device.

DOE/BC/10841-15 Modeling and Optimizing Surfactant Structure to Improve Oil Recovery by Chemical Flooding at the University of Texas--Final Report

This FEMA layer is used by NJDEP in an ArcGIS Online web mapping application. The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.

National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:High hazard potential classification - loss of human life is likely if the dam fails.Significant hazard potential classification - no probable loss of human life but can cause economic loss, environmental damage, disruption of lifeline facilities, or impact other concerns.Equal or exceed 25 feet in height and exceed 15 acre-feet in storage.Equal or exceed 50 acre-feet storage and exceed 6 feet in height".The goal of the NID is to include all dams in the United States that meet these criteria. In most cases, dams within the NID criteria are regulated (construction permit, inspection, and/or enforcement) by federal or state agencies, who have basic information on the dams within their jurisdiction."Hoover, Davis & Glen Canyon DamsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (NID2019 U) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Not AvailableGeoplatform: Not AvailableOGC API Features Link: (National Inventory of Dams - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: National Inventory of DamsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

NOTE: RESTRICTED DATA. The U.S. Department of Transportation (U.S. DOT), Pipeline and Hazardous Materials Safety Administration (PHMSA) is working with other federal and state agencies and the pipeline industry to create a National Pipeline Mapping System (NPMS). The NPMS is a full-featured geographic information system (GIS) containing the location and selected attributes of the major gas transmission and hazardous liquid transmission pipelines, and liquefied natural gas (LNG) plants operating in United States and other offshore entities. Michael Baker Jr., Inc. (Baker), as the primary contractor assumes all responsibilities of the NPMS National Repository regarding NPMS database updates, synchronization, and maintenance. Source data is contributed annually by pipeline operators to the National Repository. This metadata is for the entire national dataset. Additional metadata for individual pipeline systems are also available. Distribution of NPMS data is handled for PHMSA by the National and repository and is limited to pipeline operators and local, state, and federal government officials. Neither the United States Government nor any party involved in the creation and compilation of NPMS data and maps guarantees the accuracy or completeness of the products. NPMS data has a target accuracy of +/- 500 feet and resides in geographic coordinates. NPMS data must never be used as a substitute for contacting the appropriate local one-call center prior to digging.

This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences. GIS data is in ArcGIS map package format.

Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates geologic information in tandem with some geophysical datasets to derive a conceptual subsurface model. Includes: Geologic information from the USGS geologic map of Newberry and cross-sections from Sonnenthal et al, 2012 West flank seismic body representing a fractional change in seismic velocity of 0.1, defined in Beachly et al., 2012 and Heath et al., 2015 West flank gravity body "granite" that represents a gravity anomaly identified in Waibel et al., 2014 (DOE document, figure 35) Magma chamber defined seismically, found in Heath et al., 2015 Ring fracture fault intrusions Various faults sourced from the USGS geologic map of Newberry, Grasso et al. 2012's fault and fissure mapping

Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates multiple geophysical datasets to derive a conceptual subsurface model. Includes: Conductor layer based on transient electromagnetic data from Fitterman et al., 1988 (figure 10) Base of conductor layer based on MT conductor values found in Waibel et al., 2014 (DOE document, figure 38) Resistor layer based on magnetotellurics from Fitterman et al., 1988 (figure 13). Seismic intrusives layer representing a smoothed version of 5.5 km/s seismic velocity layer defined in Beachly et al., 2012 West flank seismic body representing a fractional change in seismic velocity of 0.1, defined in Beachly et al., 2012 and Heath et al., 2015 West flank gravity body "granite" that represents a gravity anomaly identified in Waibel et al., 2014 (DOE document, figure 35) Magma chamber defined seismically, found in Heath et al., 2015 Ring fracture fault intrusions Various faults and geologic layers

Research references to literature about the Newberry geothermal area, Oregon.

The Facility Inventory and Condition Assessment Program (FICAP) system is used effectively to monitor and plan for facility preservation, renovation and construction activities at Washington State Parks. The facility inventory GIS dataset provides the location of built structures owned or managed by the Washington State Parks & Recreation Commission - showing name, condition, size, construction date & cost. Also includes links to photos of each facility in the attribute table. Data is updated annually. Last updated August 2022. To download this and other data from Washington State Parks, go to geo.wa.gov and search for "wsprc" (Washington State Parks and Recreation Commission).

This layer contains data (in point geometry) on park accommodations for visitors to Washington State Parks (Restroom facilities, kitchen shelters, picnic tables, ranger stations and so forth.) The layer is derived from the agency's facilities inventory dataset.Attribute Definitions:ParkName - Name of the State Park or State Parks property the structure is in.Name – Type of the public accommodation structure.UFI - ID number assigned by WA DES's (Washington Department of Enterprise Services) Facility Inventory Condition Assessment Program (FICAP).Photos - A weblink to photo attachments for the structure.DateConst - Date the facility was constructed.Long - Longitude of the structure.Lat – Latitude of the structure. To download this and other data from Washington State Parks, go to geo.wa.gov and search for "wsprc" (Washington State Parks and Recreation Commission).

From the site: "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 here 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 geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary."

From the site: "Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data were current as of October 2001 when the cell maps were created in 2002."

This report contains files that provide a digital version of USGS map I-1853-A, "Precambrian Basement Map of the Northern Midcontinent, U.S.A.," compiled by P.K. Sims and published in 1990. The files are provided in two formats: (1) Arc export (e00) files, which can be imported directly into a number of applications, and (2) Arcview shapefiles and a related Arcview project, which allow direct viewing and manipulation of the map information. The intent of this release is solely to make the original map data available digitally, not to make updates or modifications to the map based on new data acquired in the past decade since the original map was published. Thus, the information in the database files is distilled from the original map and preserves the terminology used therein. To further preserve the original map, ancillary information such as the Correlation of Map Units and Description of Map Units are included as images that were scanned from the printed map. The data are presented in several data layers. A polygon coverage presents the distribution of map units in which each polygon is attributed with 15 geological parameters. An accompanying line coverage shows faults. Additional coverages show location of drill holes used in the original compilation and structure contours on the Precambrian basement surface. --USGS

The Precambrian basement rocks of the continental United States are largely covered by younger sedimentary and volcanic rocks, and the availability of updated aeromagnetic data (NAMAG, 2002) provides a means to infer major regional basement structures and tie together the scattered, but locally abundant, geologic information. Precambrian basement structures in the continental United States have strongly influenced later Proterozoic and Phanerozoic tectonism within the continent, and there is a growing awareness of the utility of these structures in deciphering major younger tectonic and related episodes. Interest in the role of basement structures in the evolution of continents has been recently stimulated, particularly by publications of the Geological Society of London (Holdsworth and others, 1998; Holdsworth and others, 2001). These publications, as well as others, stress the importance of reactivation of basement structures in guiding the subsequent evolution of continents. Knowledge of basement structures is an important key to understanding the geology of continental interiors.

The regional characterization work conducted by the Geoteams during the MRCSP Phase III project period (2010 –2019) focused on the following tasks: (1) refinement of geologic seals/reservoir systems; (2) assessment of Atlantic Coastal Plain and offshore opportunities; (3) expanded assessments of oil and gas fields, particularly as they relate to enhanced recovery opportunities; (4) regional support for implementation of carbon capture utilization and storage (CCUS) in the partnership area; and (5) communication and data sharing. This report, entitled Regional Geology, has been prepared in association with (4), regional support for implementation of CCUS in the partnership area..

This capstone report summarizes the regional characterization of geologic storage subtasks performed under MRCSP Phase III.

Relationship of Pore Structure to Fluid Behavior in Low Permeability Gas Sands, Final Report, September 1984

This dataset contain raw data files in kmz files (Google Earth georeference format). These files include volcanic vent locations and age, the distribution of fine-grained lacustrine sediments (which act as both a seal and an insulating layer for hydrothermal fluids), and post-Miocene faults compiled from the Idaho Geological Survey, the USGS Quaternary Fault database, and unpublished mapping. It also contains the Composite Common Risk Segment Map created during Phase 1 studies, as well as a file with locations of select deep wells used to interrogate the subsurface.

The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschutz No. 1). Although there are large variations, the average temperature gradient exceeds 80 deg C/km. Recently, high-resolution gravity, ground magnetic, magnetotelluric (MT), and seismic reflection surveys have been carried out in the area in order to define key structural features responsible for promoting permeability and fluid flow. Of particular relevance is the MT survey performed in the Mountain Home area. The included reports and papers present preliminary and final 3-D numerical models of the natural-state (i.e. pre-production state) of the Mountain Home geothermal area conditioned using the available temperature profiles from the five deep wells in addition to interpretations of MT data.

This presents the results of Phase 1 of the Snake River Plain Play Fairway Analysis project, along with a proposed work for Phase 2. No new data were collected, but we list data sources for our compilation. The Snake River volcanic province (SRP) overlies a thermal anomaly that extends deep into the mantle; it represents one of the highest heat flow provinces in North America. The Yellowstone hotspot continues to feed a magma system that underlies southern Idaho and has produced basaltic volcanism as young as 2000 years old. It has been estimated to host up to 855 MW of potential geothermal power production, most of which is associated with the Snake River Plain volcanic province. Our goals for this Phase 1 study were to: (1) adapt the methodology of Play Fairway Analysis for geothermal exploration to create a formal basis for its application to geothermal systems, (2) assemble relevant data for the SRP from publicly available and private sources, and (3) build a geothermal play fairway model for the SRP and identify the most promising plays, using software tools that are standard in the petroleum industry. Our ultimate goals are to lower the risk and cost of geothermal exploration throughout geothermal industry, and to stimulate the development of new geothermal power resources in Idaho.

From the abstract: Much has been written about the buried Nemaha uplift in Kansas and Oklahoma since drillers and geologists first became aware of it from oil-well drilling in the early years of the twentieth century. It has been described as extensional, compressional, and strike-slip. In this paper I will present data to show that the Nemaha was formed by compressional or thrust faulting that is rooted deep within the Precambrian crust and extended in listric fashion to the ground surface coincident with the Humboldt fault zone, or east-bounding fault. Compressional effects observed from well data and seismic surveys do not permit an extensional origin.

This map service provides general bridge information for all transportation structures within the Washington State Bridge Inventory System (WSBIS) in Washington State. This includes bridges, large culverts, tunnels, pedestrian & railroads passing over state routes, and pedestrian bridges adjacent to state routes on state right of way. The accuracy and completeness of the transportation structure data (including the structure location) are the responsibility of the structure owner. In cases where pedestrian & railroad structures pass over state or local agency routes, this data may be the responsibility of the route owner under the structure. Note that local agencies do not include a complete inventory of pedestrian & railroad structures in local agency rights of way. Please Note: If there is a vertical clearance restriction related to the bridge/structure, the minimum clearance will appear in either the MinVertClrncOverDeck, MinVertClrncUnderBridge or TunnelMinVertClrncOverRdBy10 fields. For more specific and detailed vertical clearance information please use the WSDOT Bridge Vertical Clearance Trip Planner: https://www.wsdot.wa.gov/Bridge/Structures/BVCTP.htm(Chrome Browser works best)Reference Document: Criteria for Identifying Bridge Condition Stateshttps://data.wsdot.wa.gov/geospatial/DOT_Bridge/WSDOTBridgeConditionStates_Criteria.pdf#page=1Reference Document: Attribute Definition Guidehttps://data.wsdot.wa.gov/geospatial/DOT_Bridge/WSBIMCodingGuide_Appendix2C_2020.pdfIf you have any questions about this data, please contact George Comstock, Bridge Preservation Office (BPO) - comstog@wsdot.wa.gov-(360) 570-2540. If you're having trouble viewing these services, please email OnlineMapSupport@wsdot.wa.gov.Download individual data sets from https://gisdata-wsdot.opendata.arcgis.com

This dataset provides geospatial locations and general bridge information for structures Owned By or Managed By WSDOT Bridge Preservation Office (BPO).The WSDOT Bridge Structures (On) layer is a line dataset that represents a bridge/structure that carries a roadway over a feature. If there is a vertical clearance restriction related to the bridge/structure, the minimum clearance will appear in either the MinVertClrncOverDeck or MinVertClrncUnderBridge fields. For more specific and detailed vertical clearance information please use the WSDOT Bridge Vertical Clearance Trip Planner: https://www.wsdot.wa.gov/Bridge/Structures/BVCTP.htm (Chrome Browser works best)

This dataset provides geospatial locations and general bridge information for structures Owned By or Managed By WSDOT Bridge Preservation Office (BPO).The WSDOT Bridge Structures (Under) layer is a point dataset that represents a location at which a route crosses beneath a bridge/structure (a bridge/structure that is not represented in the (Bridge Structures (On) dataset) for example: pedestrian bridges, railroad bridges or tunnels. Vertical clearance minimum restrictions for a particular structure will be represented in the MinVertClrncUnderBridge or TunnelMinVertClrncOverRdBy10 fields. For more specific and detailed vertical clearance information please use the WSDOT Bridge Vertical Clearance Trip Planner: https://www.wsdot.wa.gov/Bridge/Structures/BVCTP.htm (Chrome Browser works best)

This dataset is a compilation of fault (shear displacement) features throughout West Virginia, provided by the West Virginia Geological and Economic Survey (WVGES), published as a web feature service, a web map service, an ESRI service and an Excel workbook.The workbook contains 16 worksheets, including information about the template, notes related to revisions of the template, resource provider information, the data, a field list (data mapping view), and various sheets indicating valid terms and URIs for this information exchange. For mapped active faults, which are the scope of this scheme, the deformation style is assumed to be brittle (as opposed to ductile). For more info about this resource please see the links provided (shapefiles and metadata URLs). This resource was provided by the West Virginia Geological and Economic Survey and made available for distribution through the National Geothermal Data System. --NGDS

West Virginia Onondaga Structure Lines