This dataset was created by the Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) for planning and asset inventory purposes, as well as for visualization and general mapping. County boundaries were digitized by TxDOT using USGS quad maps, and converted to line features using the Feature to Line tool. This dataset depicts a generalized coastline.Update Frequency: As NeededSource: Texas General Land OfficeSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

This site provides access to download an ArcGIS geodatabase or shapefiles for the 2017 Texas Address Database, compiled by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide. This is part of the Texas Water Model (TWM), a project to adapt the NOAA National Water Model [1] for use in Texas public safety. This database was compiled over the period from June 2016 to December 2017. A number of gaps remain (towns and cities missing address points), see Address Database Gaps spreadsheet below [4]. Additional datasets include administrative boundaries for Texas counties (including Federal and State disaster-declarations), Councils of Government, and Texas Dept of Public Safety Regions. An Esri ArcGIS Story Map [5] web app provides an interactive map-based portal to explore and access these data layers for download.

The address points in this database include their "height above nearest drainage" (HAND) as attributes in meters and feet. HAND is an elevation model developed through processing by the TauDEM method [2], built on USGS National Elevation Data (NED) with 10m horizontal resolution. The HAND elevation data and 10m NED for the continental United States are available for download from the Texas Advanced Computational Center (TACC) [3].

The complete statewide dataset contains about 9.28 million address points representing a population of about 28 million. The total file size is about 5GB in shapefile format. For better download performance, the shapefile version of this data is divided into 5 regions, based on groupings of major watersheds identified by their hydrologic unit codes (HUC). These are zipped by region, with no zipfile greater than 120mb: - North Tx: HUC1108-1114 (0.52 million address points) - DFW-East Tx: HUC1201-1203 (3.06 million address points) - Houston-SE Tx: HUC1204 (1.84 million address points) - Central Tx: HUC1205-1210 (2.96 million address points) - Rio Grande-SW Tx: HUC2111-1309 (2.96 million address points)

Additional state and county boundaries are included (Louisiana, Mississippi, Arkansas), as well as disaster-declaration status.

Compilation notes: The Texas Commission for State Emergency Communications (CSEC) provided the first 3 million address points received, in a single batch representing 213 of Texas' 254 counties. The remaining 41 counties were primarily urban areas comprising about 6.28 million addresses (totaling about 9.28 million addresses statewide). We reached the GIS data providers for these areas (see Contributors list below) through these emergency communications networks: Texas 9-1-1 Alliance, the Texas Emergency GIS Response Team (EGRT), and the Texas GIS 9-1-1 User Group. The address data was typically organized in groupings of counties called Councils of Governments (COG) or Regional Planning Commissions (RPC) or Development Councils (DC). Every county in Texas belongs to a COG, RPC or DC. We reconciled all counties' addresses to a common, very simple schema, and merged into a single geodatabase.

November 2023 updates: In 2019, TNRIS took over maintenance of the Texas Address Database, which is now a StratMap program updated annually [6]. In 2023, TNRIS also changed its name to the Texas Geographic Information Office (TxGIO). The datasets available for download below are not being updated, but are current as of the time of Hurricane Harvey.

References: [1] NOAA National Water Model [https://water.noaa.gov/map] [2] TauDEM Downloads [https://hydrology.usu.edu/taudem/taudem5/downloads.html] [3] NFIE Continental Flood Inundation Mapping - Data Repository [https://web.corral.tacc.utexas.edu/nfiedata/] [4] Address Database Gaps, Dec 2017 (download spreadsheet below) [5] Texas Address and Base Layers Story Map [https://www.hydroshare.org/resource/6d5c7dbe0762413fbe6d7a39e4ba1986/] [6] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]

Flight-line data release for a helicopter electromagnetic (HEM) and magnetic geophysical survey flown in early December 2003, in Northern Bexar County, Texas. The U.S. Geological Survey (USGS) contracted the survey to Fugro Airborne of Toronto, Canada. Data include coordinates in UTM zone 14 meters, longitude and latitude WGS84, and latitude and longitude (degrees, minutes, and decimal seconds) NAD27.

This data release supports the U.S. Geological Survey Scientific Investigation Map (SIM) by Clark and others (2020) by documenting the data used to create the geologic maps and describe geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers for a 442 square-mile area in northern Medina County in south Texas. The karstic Edwards and Trinity aquifers that are the subject of the SIM by Clark and others (2020) are classified as major sources of water in south-central Texas by the Texas Water Development Board (George and others, 2011). The geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers largely control groundwater-flow paths and storage in northern Medina County (Kuniasky and Ardis, 2004). The data provided in this data release and the detailed maps and descriptions of the geologic framework and hydrostratigraphy in Clark and others (2020) are intended to help provide water managers information that is useful for effectively managing available groundwater resources in the study area. These digital data accompany Clark, A.K., Morris, R.E., and Pedraza, D.E., 2020, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Medina County, Texas: U.S. Geological Survey Scientific Investigations Map 3461, 13 p. pamphlet, 1 pl., scale 1:24,000, https://doi.org/10.3133/sim3461.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

The karstic Edwards and Trinity aquifers are classified as major sources of water in south-central Texas by the Texas Water Development Board, and both are classified as major aquifers by the State of Texas. The Edwards and Trinity aquifers developed because of the original depositional history of the carbonate limestone and dolomite rocks that contain them, and the primary and secondary porosity, diagenesis, fracturing, and faulting that modified the porosity, permeability, and transmissivity of each aquifer and of the geologic units separating the aquifers. Previous studies such as those by the U.S. Geological Survey (USGS) and the Edwards Aquifer Authority (EAA) have mapped the geology, hydrostratigraphy, and structure in these areas at various scales. The purpose of this data release is to present the data that were collected and compiled to describe the geologic framework and hydrostratigraphy of northern Medina county, Texas in order to help water managers, water purveyors, and local residents better understand and manage water resources. The scope of the larger work and this accompanying data release is focused on the geologic framework and hydrostratigraphy of the outcrops and hydrostratigraphy of the rocks that contain the Edwards and Trinity aquifers within northern Medina county, Texas. These digital data accompany Clark and others (2024), which supersedes Scientific Investigations Map 3461.

Land parcels for the purpose of fuel mitigation of the Bastrop County North Fuel Mitigation Project TX-1999-012.

description: The Digital Flood Insurance Rate Map (DFIRM) 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 DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (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 the Federal Emergency Management Agency (FEMA). This file is georeferenced to the earth's surface using the Lambert Conformal Conic projection and the Texas State Plane NAD83 Central Zone coordinate system, projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. The Vertical Datum of this data set is North American Vertical Datum 1988 (NAVD88). The specifications for the vertical control of DFIRM data files are consistent with those required for mapping at a vertical accuracy of 2.4 feet or better.; abstract: The Digital Flood Insurance Rate Map (DFIRM) 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 DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (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 the Federal Emergency Management Agency (FEMA). This file is georeferenced to the earth's surface using the Lambert Conformal Conic projection and the Texas State Plane NAD83 Central Zone coordinate system, projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. The Vertical Datum of this data set is North American Vertical Datum 1988 (NAVD88). The specifications for the vertical control of DFIRM data files are consistent with those required for mapping at a vertical accuracy of 2.4 feet or better.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Corpus Christi TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Kleberg, Nueces, San Patricio, Aransas, Refugio, Victoria, and Calhoun.For all counties, except for Kleberg, the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2005 and 2006 with a point density of 1.4 m GSD. The LiDAR data for Kleberg County is based on the US Geological Survey (USGS) National Elevation Dataset (NED) 1/9 arc-second elevation data. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. Hydrography for Kleberg County is based on the National Hydrography Dataset (NHD) and the National Wetlands Inventory (NWI). The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Victoria, Calhoun, Aransas, Refugio, San Patricio, Nueces, and Kleberg counties.

Credit report of North Texas Fire Safety Industrial Supply Co contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

This map contains the 4 Regional Areas: Border and Permian Basin, Central Texas, Coastal and East Texas, North Central and West Texas and the 16 Regions of the TCEQ. The areas for this data was obtained from TXDOT county boundaries (no coastal detail). General purpose use is to delineate TCEQ Region boundaries on maps and other products. Originating feature class was digitized by TXDOT at 1:24,000 using DRGs (USGS Topos) in the NAD 83 Datum.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

description: This part of DS 781 presents data for folds for the geologic and geomorphic map of the Offshore of Tomales Point map area, California. The vector data file is included in "Folds_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html. The Point Reyes Peninsula is bounded to the south and west in the offshore by the north- and east-dipping Point Reyes Thrust Fault (McCulloch, 1987; Heck and others, 1990), which lies about 20 km west of Tomales Point. Granitic basement rocks are offset about 1.4 km on this thrust fault offshore of Point Reyes (McCulloch, 1987), and this uplift combined with west-side-up offset on the San Andreas Fault (Grove and Niemi, 2005) resulted in uplift of the Point Reyes Peninsula, including Tomales Point and the adjacent continental shelf. Grove and others (2010) reported uplift rates of as much as 1 mm/yr for the south flank of the Point Reyes Peninsula based on marine terraces, but reported no datable terrace surfaces that could constrain uplift for the flight of 4-5 terraces exposed farther north along Tomales Point. Folds were primarily mapped by interpretation of seismic reflection profile data (see field activity S-15-10-NC). The seismic reflection profiles were collected between 2007 and 2010. References Cited Grove, K., and Niemi, T.M., 2005, Late Quaternary deformation and slip rates in the northern San Andreas fault zone at Olema Valley, Marin County, California: Tectonophysics, v. 401, p. 231-250. Grove, K, Sklar, L.S., Scherer, A.M., Lee, G., and Davis, J., 2010, Accelerating and spatially-varying crustal uplift and its geomorphic expression, San Andreas fault zone north of San Francisco, California: Tectonophysics, v. 495, p. 256-268. Heck, R.G., Edwards, E.B., Kronen, J.D., Jr., and Willingham, C.R., 1990, Petroleum potential of the offshore outer Santa Cruz and Bodega basins, California, in Garrison, R.E., Greene, H.G., Hicks, K.R., Weber, G.E., and Wright, T.L., eds. Geology and tectonics of the central California coastal region, San Francisco to Monterey: Pacific Section, American Association of Petroleum Geologists Bulletin GB67, p. 143-164. McCulloch, D.S., 1987, Regional geology and hydrocarbon potential of offshore central California, in Scholl, D.W., Grantz, A., and Vedder, J.G., eds., Geology and Resource Potential of the Continental Margin of Western North America and Adjacent Oceans Beaufort Sea to Baja California: Houston, Texas, Circum-Pacific Council for Energy and Mineral Resources, Earth Science Series, v. 6., p. 353-401.; abstract: This part of DS 781 presents data for folds for the geologic and geomorphic map of the Offshore of Tomales Point map area, California. The vector data file is included in "Folds_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html. The Point Reyes Peninsula is bounded to the south and west in the offshore by the north- and east-dipping Point Reyes Thrust Fault (McCulloch, 1987; Heck and others, 1990), which lies about 20 km west of Tomales Point. Granitic basement rocks are offset about 1.4 km on this thrust fault offshore of Point Reyes (McCulloch, 1987), and this uplift combined with west-side-up offset on the San Andreas Fault (Grove and Niemi, 2005) resulted in uplift of the Point Reyes Peninsula, including Tomales Point and the adjacent continental shelf. Grove and others (2010) reported uplift rates of as much as 1 mm/yr for the south flank of the Point Reyes Peninsula based on marine terraces, but reported no datable terrace surfaces that could constrain uplift for the flight of 4-5 terraces exposed farther north along Tomales Point. Folds were primarily mapped by interpretation of seismic reflection profile data (see field activity S-15-10-NC). The seismic reflection profiles were collected between 2007 and 2010. References Cited Grove, K., and Niemi, T.M., 2005, Late Quaternary deformation and slip rates in the northern San Andreas fault zone at Olema Valley, Marin County, California: Tectonophysics, v. 401, p. 231-250. Grove, K, Sklar, L.S., Scherer, A.M., Lee, G., and Davis, J., 2010, Accelerating and spatially-varying crustal uplift and its geomorphic expression, San Andreas fault zone north of San Francisco, California: Tectonophysics, v. 495, p. 256-268. Heck, R.G., Edwards, E.B., Kronen, J.D., Jr., and Willingham, C.R., 1990, Petroleum potential of the offshore outer Santa Cruz and Bodega basins, California, in Garrison, R.E., Greene, H.G., Hicks, K.R., Weber, G.E., and Wright, T.L., eds. Geology and tectonics of the central California coastal region, San Francisco to Monterey: Pacific Section, American Association of Petroleum Geologists Bulletin GB67, p. 143-164. McCulloch, D.S., 1987, Regional geology and hydrocarbon potential of offshore central California, in Scholl, D.W., Grantz, A., and Vedder, J.G., eds., Geology and Resource Potential of the Continental Margin of Western North America and Adjacent Oceans Beaufort Sea to Baja California: Houston, Texas, Circum-Pacific Council for Energy and Mineral Resources, Earth Science Series, v. 6., p. 353-401.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

One route equals one feature. "Hooked" routes are stored as 2 separate features: ie 52 Hirsch, 52 Scott. Routes are coincident with METmap - METRO's version of the Houston region STAR Map.Changes since Previous Service Change:Routes using N. Main St through the Hernandez Tunnel have been rerouted during construction to Washington - Houston - Crockett - Quitman. These routes include the 1 Hospital, 5 Kashmere, 9 North Main, 52 Hirsch, and 78 Irvington. The original routing on the west end of the 58 Hammerly has been modified to its original loop, but in reverse direction.

© Metropolitan Transit Authority of Harris County, Texas Planning Department Division of Service Planning, Evaluation and Scheduling This layer is sourced from mycity.houstontx.gov.

Last updated from Metro on April 10, 2015

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

A work in progress that documents currently-known alignments of historical streetcars and interurbans in North Central Texas. Assembled from historical maps from the Texas State Archives Map Collection, Tarrant County Archives, and other sources.Like many other urban areas in the US, North Central Texas was historically served by a network of electrified streetcar and interurban lines. These systems became popular when electricity, electric motors, and related technology became widespread around the turn of the 20th century. As one of the first means of affordable, widespread transit, it enabled the first wave of suburban development in many urban areas including North Central Texas. At the system's peak, a sprawling network of streetcars served then-new suburban development while the interurbans connected cities in the region as far away as Denison and Waco. As with most other American systems, the streetcar network in North Central Texas declined and was eventually abandoned after WWII due to a combination of factors including disinvestment, the continuing growth of suburbs beyond their reach, and the increasing popularity of personal automobiles. Though little of the historical network remains, the McKinney Avenue Transit Authority has operated a fleet of restored historical streetcars on the streets of Uptown Dallas since 1989. Dallas Area Rapid Transit also operates modern streetcar and light rail systems, the latter of which utilizes abandoned streetcar/interurban right-of-way in some locations.This dataset provides important historical context to the region's transportation system, land use, and growth patterns in the parts of the region that they served. Please contact NCTCOG Transportation if you would like to contribute information to this ongoing effort.

The Austin Tejano Trails has been a labor of love for a dedicated group of volunteers committed to preserving the history, diversity, and cultural assets in East Austin. Just 10 blocks from the Texas State Capitol and on the north shore of Lady Bird Lake, The Austin Tejano Trails are a hop, skip and jump over or under I-35 from Austin’s famous East Sixth Entertainment District, Austin’s Convention Center, downtown hotels, and the Rainey Street bar scene.The Tejano Trails Routes map is an online, interactive version of the physical tour for the public to utilize as self-guided tours.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Houston/Galveston TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Jackson, Matagorda, Brazoria (portion), Harris (portion), Galveston, and Chambers. For all the counties listed, except for Harris, the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2006 with a point density of 1.4 m GSD. LiDAR data for Harris County was collected in October 2001 by the Harris County Flood Control District Tropical Storm Allison Recovery Project (TSARP) with a point density of 2.0 m GSD. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.

May 18, 2019 Early Morning Tornado OutbreakOn the morning of May 18, 2019, at least six strong tornadoes touched down across West Central Texas. The area was under a tornado watch and the tornadoes damaged or destroyed several hundred homes, many outbuildings, trees, fences, power poles and power lines. Between 2 AM and 10 AM, at least 3 EF-2 Tornadoes, 3 EF-3 tornadoes, and an EF-0 touched were reported. The EF-0 was reported near Melvin and was a brief touchdown..Northern Schleicher Tornado...Rating: EF-2Estimated Peak Wind: 115-120 mphPath Length /statute/: 2.2 milesPath Width /maximum/: 250 yardsFatalities: NoneInjuries: 1Start Date: May 18 2019Start Time: 2:07 AM CDTStart Location: 12 miles north of Eldorado / Schleicher County / TXStart Lat/Lon: 31.0382/-100.5931End Date: May 18 2019End Time: 2:13 AM CDTEnd Location: 14.5 miles north of Eldorado / Schleicher County / TXEnd Lat/Lon: 31.0678/-100.6049This tornado touched down in northern Schleicher County and took the roofcompletely off of a home made out of stone. The tornado snapped trunks, scattereddebris for a considerable distance and moved a vehicle. It even lodged a piece of vinyl material in between the tire and the tire rim..Dove Creek to San Angelo Tornado...Rating: EF-2Estimated Peak Wind: 120-125 mphPath Length /statute/: 18 milesPath Width /maximum/: 1 mileFatalities: NoneInjuries: NoneStart Date: May 18 2019Start Time: 457 AM CDTStart Location: 16 miles southwest of San Angelo / Tom Green County / TXStart Lat/Lon: 31.3230/-100.6501End Date: May 18 2019End Time: 551 AM CDTEnd Location: 2 miles northeast of San Angelo / Tom Green County / TXEnd Lat/Lon: 31.4913/-100.4266This long path tornado began in Dove Creek and took the roof ofseveral homes. The tornado also caused some outer walls to collapseand it destroyed several outbuildings. The tornado continued to damagetrees as it crossed over Twin Buttes Reservoir. Then it entered theSouthland Subdivision, located southwest of San Angelo where the tornadobroadened in size and weakened to EF-0 with winds estimated at 65 to 85 mph.It caused some roof damage, toppled fences, broke windows, uprooted sometrees and broke many tree limbs. The tornado continued to cause similardamage as it moved northeast towards the College Hills Subdivision. The tornadothen increased to EF-1, just north of Angelo State University. Thetwister intensified to an EF-2 as it struck the Bradford ElementaryNeighborhood in the north part of San Angelo. It damaged or destroyed manyhomes and left about 42 homes uninhabitable as it removed their roofs andcaused outer walls to collapse. It threw an automobile into a residence andsnapped tree trunks..Abilene Tornado...Rating: EF-2Estimated Peak Wind: 120-125 mphPath Length /statute/: 5.2 milesPath Width /maximum/: 388 yardsFatalities: NoneInjuries: 1Start Date: May 18 2019Start Time: 543 AM CDTStart Location: 6 miles southwest of Abilene / Taylor County / TXStart Lat/Lon: 32.4191/-99.8388End Date: May 18 2019End Time: 553 AM CDTEnd Location: 1 mile west of Abilene / Taylor County / TXEnd Lat/Lon: 32.4504/-99.7607This tornado touched down on the southeast corner of Dyess Airforce Baseand damaged some roofs and destroyed a shed. The tornado moved northeastand impacted many residential neighborhoods on both sides of the WintersFreeway located on the west side of Abilene. It damaged many roofs, blewout windows, uprooted trees and damaged tree limbs. The tornado strengthenedto an EF-2 as it crossed South 6th Street, and it completely removed severalroofs from residential homes. According to the City of Abilene, about 357 homeswere affected by this tornado..Ballinger Tornado...Rating: EF-3Estimated Peak Wind: 145 mphPath Length /statute/: 18.9 milesPath Width /maximum/: 1.0 milesFatalities: NoneInjuries: 1Start Date: May 18 2019Start Time: 652 AMStart Location: 4 miles northeast of Mereta / Runnels County / TXStart Lat/Lon: 31.5142/-100.0926End Date: May 18 2019End Time: 731 AMEnd Location: 1.9 miles west northwest of Ballinger / Runnels County / TXEnd Lat/Lon: 31.7544/-99.9735This long track EF-3 Tornado damaged or destroyed several homes and outbuildings.It snapped tree trunks and even swept one home completely off its foundation. Thistornado was multi-vortex at times and narrowly missed the City of Ballinger. The tornado destroyed theCountry Club and the High School baseball field. The tornado slammed an axle into a water tower and punctured the tower, causing all of the stored water to be lost. Found a piece of steel roof perlin embedded into a mesquite tree limb..Eastern Runnels County Tornado...Rating: EF-3Estimated Peak Wind: 140-145 mphPath Length /statute/: 5.9 milesPath Width /maximum/: 1 mileFatalities: NoneInjuries: NoneStart Date: May 18 2019Start Time: 752 AM CDTStart Location: 4 miles northeast of Benoit / Runnels County / TXStart Lat/Lon: 31.8350/-99.7791End Date: May 18 2019End Time: 802 AM CDTEnd Location: 2 miles southeast of Crews / Runnels County / TXEnd Lat/Lon: 31.9106/-99.7364This large, wide path tornado remained mostly in the rural part of easternRunnels County. It damaged and even snapped tree trunks. It toppledfour high tension steel towers and destroyed another. The tornado alsodestroyed a few outbuildings and a Recreational Vehicle. The debriswas thrown for at least a half mile..Silver Valley Tornado...Rating: EF-3Estimated Peak Wind: 136-140 mphPath Length /statute/: 8.2 milesPath Width /maximum/: 300 yardsFatalities: NoneInjuries: NoneStart Date: May 18 2019Start Time: 820 AM CDTStart Location: 10 miles northwest of Coleman / Coleman County / TXStart Lat/Lon: 31.8604/-99.5939End Date: May 18 2019End Time: 843 AM CDTEnd Location: 12 miles northwest of Coleman / Coleman County / TXEnd Lat/Lon: 31.9608/-99.5317This tornado also remained mostly in rural areas. However, it destroyeda cabin, outbuildings and many trees. The tornado completely removed theupstairs story of a well built two story residence, collapsing two exteriorwalls.EVENT SUMMARY: At least six strong tornadoes ravaged portions of West CentralTexas during the early morning hours on Saturday,May 18, 2019. Many homes were left uninhabitable. We have video evidenceof a multi-vortex tornado near Lowake. In addition, we have video evidenceof two other large tornadoes, one near Silver Valley and another just westof Ballinger.The National Weather Service wishes to thank the following for their assistance on these damage surveys: Homeowners, Dove Creek Fire Department, San Angelo Fire and Police Department and Emergency Management, Abilene Fire Dept., Abilene Emergency Management, Texas Department of Public Safety and Division of EmergencyManagement, the Texas Forest Service, Coleman Fire and Emergency Management, City of Ballinger, Runnels County Law Enforcement and Fire Dept., Texas Forest Service, our media partners, Dyess Airforce Base, U.S. Homeland Security and all who contributed to this survey.We are very grateful that there was no loss of life from thesetornadoes.EF Scale: The Enhanced Fujita Scale classifies tornadoes into thefollowing categories:EF0...Weak......65 to 85 mphEF1...Weak......86 to 110 mphEF2...Strong....111 to 135 mphEF3...Strong....136 to 165 mphEF4...Violent...166 to 200 mphEF5...Violent...>200 mphNOTE:The information in this statement is preliminary and subject tochange pending final review of the events and publication in NWSStorm Data.