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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

Statewide Traffic Volume Historic and Forecast Historic traffic volume observations, future traffic volume forecasts, and adjustment factors -- are summarized using Utah's roadway planning summary segments -- for the Wasatch Front Regional Council metropolitan planning organization travel model area. This dataset can be viewed in an interactive map at: https://wfrc.org/traffic-volume-map/. This dataset provides segment level traffic volume data (historic estimates and future forecasts) within the state of Utah. Wasatch Front Regional Council (WFRC) metropolitan planning organization's travel model boundaries (including Salt Lake, Davis, western Weber, and southern Box Elder counties' urbanized areas). Future forecasts have been developed with the support of the Wasatch Front Travel Demand Model (v8.3.1) in conjunction with the adopted 2019 Regional Transportation Plan (RTP). This dataset was first released May 5th, 2020 (check the RELEASE field/column attribute for most recent update date). MAG travel model boundaries include the urbanized areas of Utah County. Cache travel model boundaries include Cache County. Dixie travel model boundaries include Washington County. Also contained within this dataset are adjustment factors, developed as part of a statewide effort led by UDOT, that can be used to scale the Average Annual Daily Traffic (AADT) volumes estimates and forecasts to provide more time-period specific volumes for a time period subsets (e.g. weekdays, weekends, specific months, seasons, maximum month, etc). Contact and additional information is available from https://wfrc.org/models-and-forecasting or through email contact to analytics@wfrc.org.UPDATE 12/31/2021: Highland Drive revised forecasts for SEGIDs 2082_009.0, 2082_009.6, 2082_011.5, 0152_002.5, 0152_002.8. Field names and descriptions are as follows: RELEASE (version of dataset) SEGID (Segment ID, combination of Route_ID and BMP) ROUTE_ID (Route Identification, <1000 for Interstate/State Routes, >1,000 for Federal Aid Routes) BMP (Begin Milepost, or milepost of beginning of segment) EMP (End Milepost, or milepost of ending of segment) FULLNAME (name of segment) CO_FIPS (County Federal Information Processing Standard, unique code for each county) CO_NAME (Name of county) X (Centroid of Segment, UTM Zone 12N) Y (Y Centroid of Segment, UTM Zone 12N) DISTANCE (length of segment in miles) F2050...F2024 (forecast AADT volumes for model years per 2019 RTP) CH17TO50...CH17TO19 (change in AADT volumes between model years) FNOTES (forecast notes, typically when drop or large increase in volumes) MOREINFO (url to more general information on models and forecasts) WFRC_FLG (flag value used internally by WFRC) AADT2017...AADT1981 (AADT estimates for a given year from UDOT) SUTRK2017 (Single-Unit, Box Type Truck percentage for 2017) CUTRK2017 (Combo-Unit, Semi Type Truck percentage for 2017) DOWFACFC (Day-of-Week Factor Functional Class) DOWFACAT (Day-of-Week Factor Area Type) FAC_MON...FAC_SUN (Day-of-Week factors for given days) FAC_WDAVG (Average Weekday Factor Monday-Thursday, multiply AADT by factor to get AWDT, divide AWDT by factor to get AADT) FAC_WEAVG (Average Weekend Factor Friday-Sunday) FAC_WEMAX (Max Weekend Factor Friday-Sunday) SSNGRP (Seasonal Factor Group) SSNVOLCLS (Seasonal Factor Volume Class) SSNATGROUP (Seasonal Factor Area Type Group) FAC_JAN...FAC_DEC (Month Factors, multiply AADT or AWDT get month ADT or AWDT) FAC_WIN (Winter Factor, December-February) FAC_SPR (Spring Factor, March-May) FAC_SUM (Summer Factor, June-August) FAC_FAL (Fall Factor, September-November) FAC_MAXMO (Month in which Maximum Month Factor is found) FAC_MAX (Maximum Month Factor)

This data set provides the spatial distributions of vegetation types, soil carbon, and physiographic features in the Toolik Lake area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology.

This dataset includes aboveground biomass (AGB) and vegetation of herbaceous and forest wetland at 5.4 m resolution across the Wax Lake Delta (WLD) in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Vegetation classes were derived from Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) imagery acquired over the Atchafalaya Basin and the Terrebonne Basin in October 2016 in combination with a digital elevation model. The AVIRIS-NG surface reflectance data were also combined with L-band Uninhabited Airborne Vehicle Synthetic Aperture Radar (UAVSAR) HV backscatter and scattering component values from coincident vegetation sample sites to develop and test AGB models for emergent herbaceous and forested wetland vegetation. This study used the integrated airborne data from AVIRIS-NG and UAVSAR to assess the instruments' unique capabilities in combination for estimating AGB in coastal deltaic wetlands. The 5.4 m resolution vegetation classification map for the WLD study area was then used to apply the best models to estimate AGB across the WLD.

This data set provides the spatial distributions of vegetation types, geobotanical characteristics, and physiographic features for the Arctic tundra region of Alaska for the period 1993-2005. Specific attributes include dominant vegetation, bioclimate subzones, floristic subprovinces, landscape types, lake coverage, and substrate chemistry. This data set generally includes areas North and West of the forest boundary and excludes areas that have a boreal flora such as the Aleutian Islands and alpine tundra regions south of treeline.

This dataset includes total suspended solids (TSS) at the water surface across the Atchafalaya and Terrebonne Basins in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. AVIRIS-NG, the Next Generation Airborne Visible to Infrared Imaging Spectrometer, acquired data over the study area in 2015 and 2016. The remote imageries were combined with coincident field measurements to develop and validate spatially explicit estimates at 3.7-5.4 m resolution of the concentration (mg/L) of TSS.