This digital data release consists of seven national data files of area- and depth-weighted averages of select soil attributes for every available county in the conterminous United States and the District of Columbia as of March 2014. The files are derived from Natural Resources Conservations Service’s (NRCS) Soil Survey Geographic database (SSURGO). The data files can be linked to the raster datasets of soil mapping unit identifiers (MUKEY) available through the NRCS’s Gridded Soil Survey Geographic (gSSURGO) database (http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628). The associated files, named DRAINAGECLASS, HYDRATING, HYDGRP, HYDRICCONDITION, LAYER, TEXT, and WTDEP are area- and depth-weighted average values for selected soil characteristics from the SSURGO database for the conterminous United States and the District of Columbia. The SSURGO tables were acquired from the NRCS on March 5, 2014. The soil characteristics in the DRAINAGE table are drainage class (DRNCLASS), which identifies the natural drainage conditions of the soil and refers to the frequency and duration of wet periods. The soil characteristics in the HYDRATING table are hydric rating (HYDRATE), a yes/no field that indicates whether or not a map unit component is classified as a "hydric soil". The soil characteristics in the HYDGRP table are the percentages for each hydrologic group per MUKEY. The soil characteristics in the HYDRICCONDITION table are hydric condition (HYDCON), which describes the natural condition of the soil component. The soil characteristics in the LAYER table are available water capacity (AVG_AWC), bulk density (AVG_BD), saturated hydraulic conductivity (AVG_KSAT), vertical saturated hydraulic conductivity (AVG_KV), soil erodibility factor (AVG_KFACT), porosity (AVG_POR), field capacity (AVG_FC), the soil fraction passing a number 4 sieve (AVG_NO4), the soil fraction passing a number 10 sieve (AVG_NO10), the soil fraction passing a number 200 sieve (AVG_NO200), and organic matter (AVG_OM). The soil characteristics in the TEXT table are percent sand, silt, and clay (AVG_SAND, AVG_SILT, and AVG_CLAY). The soil characteristics in the WTDEP table are the annual minimum water table depth (WTDEP_MIN), available water storage in the 0-25 cm soil horizon (AWS025), the minimum water table depth for the months April, May and June (WTDEPAMJ), the available water storage in the first 25 centimeters of the soil horizon (AWS25), the dominant drainage class (DRCLSD), the wettest drainage class (DRCLSWET), and the hydric classification (HYDCLASS), which is an indication of the proportion of the map unit, expressed as a class, that is "hydric", based on the hydric classification of a given MUKEY. (See Entity_Description for more detail). The tables were created with a set of arc macro language (aml) and awk (awk was created at Bell Labsin the 1970s and its name is derived from the first letters of the last names of its authors – Alfred Aho, Peter Weinberger, and Brian Kernighan) scripts. Send an email to mewieczo@usgs.gov to obtain copies of the computer code (See Process_Description.) The methods used are outlined in NRCS's "SSURGO Data Packaging and Use" (NRCS, 2011). The tables can be related or joined to the gSSURGO rasters of MUKEYs by the item 'MUKEY.' Joining or relating the tables to a MUKEY grid allows the creation of grids of area- and depth-weighted soil characteristics. A 90-meter raster of MUKEYs is provided which can be used to produce rasters of soil attributes. More detailed resolution rasters are available through NRCS via the link above.

These data depict the western United States Map Unit areas as defined by the USDA NRCS. Each Map Unit area contains information on a variety of soil properties and interpretations. The raster is to be joined to the .csv file by the field "mukey." We keep the raster and csv separate to preserve the full attribute names in the csv that would be truncated if attached to the raster. Once joined, the raster can be classified or analyzed by the columns which depict the properties and interpretations. It is important to note that each property has a corresponding component percent column to indicate how much of the map unit has the dominant property provided. For example, if the property "AASHTO Group Classification (Surface) 0 to 1cm" is recorded as "A-1" for a map unit, a user should also refer to the component percent field for this property (in this case 75). This means that an estimated 75% of the map unit has a "A-1" AASHTO group classification and that "A-1" is the dominant group ...

Massachusetts Top 20 Soils Data Layer

In an effort to provide a simple, statewide soils data layer, the Massachusetts Top 20 soils data layer is a statewide shapefile of the soil survey data that contains a single set of attributes for each soil survey map unit. The attributes provided are those soil properties or ratings that are most requested by soil survey users through the Web Soil Survey platform.

To create the shapefile, statewide gSSURGO data was downloaded from USDA’s Geospatial Data Gateway. A Soil Data Access query was used to extract certain data elements for these most-commonly requested soil properties and interpretations and exported into an excel file. This excel file was joined with the spatial data using the mukey and the resulting shapefile was exported. Descriptions for each attribute included in the shapefile is listed below.

For more information contact your local NRCS office or visit https://www.nrcs.usda.gov/wps/portal/nrcs/main/ma/soils/

Attribute

Attribute Name

Attribute description

Area Symbol

AREASYMBOL

Soil Survey Area Symbol

Map Unit Symbol

MUSYM

The symbol used to uniquely identify the soil mapunit in the soil survey.

Map Unit Key

MUKEY

The symbol used to uniquely identify the soil mapunit in the national soils information system database.

Area Name

AREANAME

Soil Survey Area name

Map Unit Name

MUNAME

Soil map unit name

Component Name

COMPNAME

Name of the dominant component of the soil map unit

Map Unit Kind

MUKIND

The kind of mapunit

Farmland Classification

FRMLNDCLS

Identification of map units as prime farmland, farmland of statewide importance, or farmland of unique importance.

Hydric Rating by Map Unit

HYDRCRATNG

Hydric soils are defined by the National Technical Committee for Hydric Soils (NTCHS) as soils that formed under conditions of saturation, flooding, or ponding long enough during the growing season to develop anaerobic conditions in the upper part (Federal Register, 1994). Under natural conditions, these soils are either saturated or inundated long enough during the growing season to support the growth and reproduction of hydrophytic vegetation. Reported for the dominant component of the map unit.

Drainage Class

DRAINCLASS

The natural drainage condition of the soil refers to the frequency and duration of wet periods. This column displays the dominant drainage class for the map unit, based on composition percentage of each map unit component.

Mineral Surface texture

MINSURFTEXT

The soil texture description of the first mineral soil horizon. Reported for the dominant component of the map unit.

T Factor

TFACTOR

Soil loss tolerance factor. The maximum amount of erosion at which the quality of a soil as a medium for plant growth can be maintained. Reported for the dominant component of the map unit.

Available Water Storage 0-100 cm

AWS100

Available water storage (AWS). The volume of water that the soil, to a depth of 100 centimeters, can store that is available to plants. It is reported as the weighted average of all components in the map unit and is expressed as centimeters of water. AWS is calculated from AWC (available water capacity) which is commonly estimated as the difference between the water contents at 1/10 or 1/3 bar (field capacity) and 15 bars (permanent wilting point) tension and adjusted for salinity and fragments.

Available Water Storage 0-25 cm

AWS25

Available water storage (AWS). The volume of water that the soil, to a depth of 25 centimeters, can store that is available to plants. It is reported as the weighted average of all components in the map unit and is expressed as centimeters of water. AWS is calculated from AWC (available water capacity) which is commonly estimated as the difference between the water contents at 1/10 or 1/3 bar (field capacity) and 15 bars (permanent wilting point) tension and adjusted for salinity and fragments.

Depth to Water Table

DEP2WATTBL

The shallowest depth to a wet soil layer (water table) at any time during the year expressed as centimeters from the soil surface, for components whose composition in the map unit is equal to or exceeds 15%. *These values are derived from the national database. They are intended for general planning purposes only and are not, in any way, intended to replace or supersede an on-site investigation. On-site investigations by certified soil evaluators are required by MA Environmental Code Title V for siting septic systems.

Dwellings with Basements

DWELLWB

The rating of the map unit as a site for dwellings with basements, expressed as the dominant rating class for the map unit, based on composition percentage of each map unit component.

Hydrologic Soil Group

HYDROLGRP

Hydrologic Group is a grouping of soils that have similar runoff potential under similar storm and cover conditions. This column displays the dominant hydrologic group for the map unit, based on composition percentage of each map unit component.

Nonirrigated Land Capability Class

NIRRLCC

This column displays the dominant capability class and subclass, under non-irrigated conditions, for the map unit based on composition percentage of all components in the map unit.

Local Roads and Streets

ROADS

The rating of the map unit as a site for local roads and streets, expressed as the dominant rating class for the map unit, based on composition percentage of each map unit component.

Septic Tank Absorption Fields

SEPTANKAF

The rating of the map unit as a site for septic tank absorption fields, expressed as the dominant rating class for the map unit, based on composition percentage of each map unit component. *These values are derived from the national database. They are intended for general planning purposes only and are not, in any way, intended to replace or supersede an on-site investigation. On-site investigations by certified soil evaluators are required by MA Environmental Code Title V for siting septic systems.

Representative Slope

SLOPE

The difference in elevation between two points, expressed as a percentage of the distance between those points. This column displays the slope gradient of the dominant component of the map unit based on composition percentage.

Flooding Frequency Class

FLOODING

The annual probability of a flood event expressed as a class. This column displays the dominant flood frequency class for the map unit, based on composition percentage of map unit components whose composition in the map unit is equal to or exceeds 15%.

Ponding Frequency Class

PONDING

The annual probability of a ponding event expressed as a class. This column displays the dominant ponding frequency class for the map unit, based on composition percentage of map unit components whose composition in the map unit is equal to or exceeds 15%

Corrosion of Concrete

CORCONCRET

"Risk of corrosion" pertains to potential soil-induced electrochemical or chemical action that corrodes or weakens concrete. The rate of corrosion of concrete is based mainly on the sulfate and sodium content, texture, moisture content, and acidity of the soil. Special site examination and design may be needed if the combination of factors results in a severe hazard of corrosion. The concrete in installations that intersect soil boundaries or soil layers is more susceptible to corrosion than the concrete in installations that are entirely within one kind of soil or within one soil layer. The risk of corrosion is expressed as "low," "moderate," or "high." Reported for the dominant component of the map unit.

Soil Taxonomy Classification

TAXCLNAME

A concatenation of the Soil Taxonomy subgroup and family for a soil (long name). Reported for the dominant component of the map unit.

Depth to Any Soil Restrictive Layer

CM2RESLYR

The distance in centimeters from the soil surface to the upper boundary of any restrictive layer. Reported for the dominant component of the map unit.

Restriction Kind

RESKIND

Type of nearly continuous layer that has one or more physical, chemical, or thermal properties that significantly reduce the movement of water and air through the soil or that otherwise provides an unfavorable root environment. Reported for the dominant component of the map unit.

Parent Material Name

PARMATNM

Reports the name for each of the parent materials that may occur in a vertical cross section of a soil. Reported for the dominant component of the map unit.

Unified Soil Classification (Surface)

UNIFSOILCL

Reports the Unified soil classification group symbol for the first mineral horizon of the dominant component of the map unit.

AASHTO Group Classification (Surface)

AASHTO

Reports the American Association of State Highway and Transportation Officials (AASHTO) class rating for the first mineral horizon of the dominant component of the map unit.

K Factor, Rock Free

KFACTRF

An erodibility factor which quantifies the susceptibility of soil particles to detachment by water. Reported for the first

SSURGO-QA ArcGIS Pro Toolbox1. SetupDownload SSURGO by Areasymbol - Use Soil Data Access and Web Soil Survey download page to get SSURGO datasets. User can a wildcard to query the database by Areasymbol or by age.Download SSURGO by Region - Downloads SSURGO Soil Survey Areas that are owned by a specific region including an approximiate 2 soil survey area buffer.Generate Regional Transactional Geodatabase - Used to create the Regional Transactional Spatial Database (RTSD) for SSURGO.Generate SSO SSURGO Datasets - Create a SSURGO file geodatabase for a selected MLRA Soil Survey Office.Import SSURGO Datasets in FGDB - This tooll will import SSURGO spatial and tabular datasets within a given location into a File Geodatabase and establish the necessary table and feature class relationships to interact with the dataset.Insert NATSYM and MUNAME Value - This tool adds the National Mapunit Symbol (NATMUSYM) and the Mapunit Name (MUNAME) values to the corresponding MUKEY. An MUKEY field is required to execute. A network connection is required in order to submit a query to SDacess.RTSD - Check SDJR Project Out - Designed to work with the RTSD to manage SDJR projects and export data for those projects to be sent to the MLRA SSO.

Uses the Soil Data Development Toolbox for Gridded National Soil Survey Geographic Database (gNATSGO). Other Documents to Reference:gSSURGO FactsheetgSSURGO User Guide ArcMap version 2.4Soil Data Development Toolbox User Guide v5 for ArcMapgSSURGO Mapping Detailed GuidegSSURGO Valu1 table column descriptionsNotes:.A GeoTIFF version of the gNATSGO CONUS raster is availableThe USDA-NRCS-SPSD refreshes all published soil databases annually. gNATSGO will be included in the refresh cycle, which will provide a new up-to-date version of the database each year.gNATSGO is an ESRI file geodatabase.In the state and island territory databases, the soil map units are delivered only as a 10-meter raster version.In the CONUS database, the raster is 30-meter.No vectorized version of the soil map units is included in gNATSGO.The soil map units are uniquely identified by the mukey, which is included in the attribute table.The database has 70 tables that contain soil attributes, and relationship classes are built into the database to define relationships among tables.The raster can be joined to the Mapunit and Muaggatt tables in the MUKEY field.The database contains a feature class called SAPOLYGON. The “source” field in this feature class indicates whether the data was derived from SSURGO, STATSGO2, or an RSS.If you encounter an ArcMap error when working with a gNATSGO dataset that reads “The number of unique values exceeds the limit” try increasing the maximum number of unique values to render in your Raster ArcMap Options. Specific instructions can be obtained here: https://support.esri.com/en/technical-article/000010117

Defining the pre-European range of vegetation communities can enhance our understanding of the role soil, hydrology, and climate had on climax plant communities within southwest Louisiana. Coastal prairie grasslands were in a perpetual state of succession due to two primary disturbances; grazing, primarily by bison and other ungulates, and fires ignited by lightning and Native Americans. Along its borders, prairie vegetation blended into adjacent plant communities forming biologically diverse ecotones that may have fluctuated between a prairie, marsh, or forest dominated community as a result of variable conditions including climate cycles, disturbance and soil characteristics. Since European settlement, this landscape has undergone dramatic change with less than 1% of intact coastal prairie remaining. Conservation entities across the Western Gulf Coastal Plain are taking a collaborative, strategic, landscape scale approach to pollinator conservation. This effort encourages communication and implementation of restoration and habitat enhancement actions within water sheds. We have produced a spatial dataset which considers landscape position and soil type, based on Soil Survey Geographic Database (SSURGO) data, to predict appropriate vegetation associations for plantings across southwest Louisiana based on expert elicitation, and historic references. Methods to produce this product begin with soil boundaries and identification information using Map Unit Keys (MUKEY) which were gathered from SSURGO data (Soil Survey Staff, NRCS 2017). Each mukey number was reviewed on the SOIL WEB to obtain information about components. Components include the proportion and general geomorphic features associated with soil series. Natural vegetation associations were examined and documented for each soil series individually using multiple references, including USDA Soil Series descriptions, expert elicitation, and historical spatial references. Professional reference maps contributed to this spatial dataset and include an 1863 work by Henry L. Abbot and numerous General Land Office surveyor maps and surveyor descriptions from the early 1800s drawn at the scale of a township. General vegetation categories associated with Soil Types (Mukey) were derived from reviewing the vegetation associations of the dominant components, or soil series. These general categories include: anthropogenic, prairie, transition, forest, marsh, swamp, uncertain, and water. Anthropogenic categories were generally due to significant dredging, or other industrial activities. Transitional areas included savannas and areas which may have significantly changed from prairie to forest dominated communities due to rainfall and/or fire frequency and intensity. Forest and swamp includes a range of forest types from which the distinction between these two categories primarily depend upon relative elevation and hydrology. There were a few soil series in which we are uncertain of their pre-settlement vegetation. These areas are anomalies on the landscape and include salt domes and old, disjunct river meanders which are largely comprised of Pleistocene soils and were most likely marais, yet currently much of it is heavily forested as bottomlands, and we are therefore uncertain if this result is solely due to absence of fire. Attribute data include MUKEYs within the parishes which are included in the Louisiana portion of the Gulf Coastal Plain Ecoregion. Information in the table includes symbols, common names, and components which were compiled from SSURGO dataset and Soil Web online resources (Soil Survey Staff, NRCS, accessed 2/2017). For more detailed vegetation associations for individual soil series, please refer to 'VegSoilAssoc_SWLA.pdf' or 'VegSoilAssoc_SWLA.csv'.

From gridded National Soil Survey Geographic Database (gNATSGO). Used Soil Data Development Toolbox > gSSURGO Mapping Toolset > Create Soil Map Tool, Exported Data Layer to TIFF, and Used Spatial Analyst > Reclass > Lookup Tool to create this data layer and display the HYDROLGRP_. Follow instructions in "How to Create an On-Demand Soil Property or Interpretation Grid from gNATSGO". Shows sSSURGO data for California. A - sand, loamy sand, sandy loam B - loam, silt, loam or silt C - sandy clay loam D - clay loam, silty clay loam, sandy clay, silty clay, or clay The gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase. The state-wide gNATSGO databases contain a 10-meter raster of the soil map units and 70 related tables of soil properties and interpretations. It is designed to work with the SPSD gSSURGO ArcTools. Users can create full coverage thematic maps and grids of soil properties and interpretations for large geographic areas, such as the extent of a State or the conterminous United States. Please note that for the CONUS database, only a 30 meter raster is included. SSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. Click here for the current completion status of SSURGO mapping. STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods. https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625) Use the Create A Soil Map ArcTool from the gSSURGO Mapping Toolset in the Soil Data Development Toolbox to make a TIFF data layer (Instructions: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625#grid). Make a Hydrological Soils Group Map, and display it using the Hydrolgrp_ attribute. NotesThe SPSD refreshes all published soil databases annually. gNATSGO will be included in the refresh cycle, which will provide a new up-to-date version of the database each year. gNATSGO is an ESRI file geodatabase. The soil map units are delivered only as a 10-meter raster version and are uniquely identified by the mukey, which is included in the attribute table. No vectorized version of the soil map units is included in gNATSGO. The database has 70 tables that contain soil attributes, and relationship classes are built into the database to define relationships among tables. The raster can be joined to the Mapunit and Muaggatt tables in the MUKEY field. The database contains a feature class called SAPOLYGON. The “source” field in this feature class indicates whether the data was derived from SSURGO, STATSGO2, or an RSS. A gNATSGO database was created for the conterminous United States and for each state or island territory that does not have complete coverage in SSURGO or has a published RSS. If you encounter an ArcMap error when working with a gNATSGO dataset that reads “The number of unique values exceeds the limit” try increasing the maximum number of unique values to render in your Raster ArcMap Options. Specific instructions can be obtained here: https://support.esri.com/en/technical-article/000010117

Abstract

This dataset created by the Native Lands Advocacy Project contains spatial and tabular data derived from the NRCS's 2020 national SSURGO soils database and has been formatted to include only data within current American Indian areas for the conterminous United States. Boundary data was acquired from the US Census Bureau's Tiger Database (2010) reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS) and includes a total of 549 areas associated with 398 unique American Indian groups. The boundary data includes all Indian Lands defined by CFR 25 CFR § 502.12 which includes both lands held in trust by the United States Government and fee lands within the boundaries of American Indian Lands encompassing a total of 109,465,623 acres of land. The spatial data includes each soil unit and its associated MUKEY making it possible to join this data with other GSSURGO soil characteristics tables.According to the NRCS4, "The SSURGO database provides the most detailed level of information and was designed primarily for farm and ranch, landowner/user, township, county, or parish natural resource planning and management. Using the soil attributes, this database serves as an excellent source for determining erodible areas and developing erosion control practices; reviewing site development proposals and land use potential; making land use assessments and chemical fate assessments; and identifying potential wetlands and sand and gravel aquifer areas." The NRCS's SSURGO data is used in numerous land valuation, carbon and hydrologic assessment models including the proprietary AcreValue™ valuation estimation tool5, NRCS's Rapid Carbon Assessment RaCa6, the EPA's Automated Geospatial Watershed Assessment (AGWA), and the Soil and Water Assessment Tool (SWAT), to name a few.

This dataset provides information about the number of properties, residents, and average property values for Monkey Run Road cross streets in Jones, MI.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

2013 VERSION 6 Spatial: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. Special soil features layers (point and line features) are available as a separate download. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes (via the MUKEY attribute field) in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Attribute data is also created and joined to the spatial data created by RIGIS and the RI NRCS.

This hosted feature layer has been published in RI State Plane Feet NAD 83.Special soil line features display locations of features too small to delineate at the mapping scale used by the Rhode Island Soil Survey Program, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes (via the MUKEY attribute field) in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

This dataset provides information about the number of properties, residents, and average property values for Monkey Hollow Road cross streets in Harveys Lake, PA.

This dataset provides information about the number of properties, residents, and average property values for Monkey Hollow Road cross streets in Sunbury, OH.

This feature layer displays basic soil information, as described by the NRCS SSURGO database. Includes Kw and Kf factors as well as Erosion Potential for Forest Roads and Trails.Purpose:The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS.Source & Date:Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Soil Survey Geographic (SSURGO) Database for [WV075, West Virginia]. Available online. Accessed [2/6/2015].https://www.nrcs.usda.gov/resources/data-and-reports/soil-survey-geographic-database-ssurgoProcessing:Soil info: USDA SSURGO program (soil surveys)Processing –1. Soil polygons were joined to mapunit, component and muaggat tables using mukey and cokey fields. Only relevant fields were kept.2. Layer was classified based on Erosion Potential Forest Roads and Trails field3. New intersected layer was published to AGO as a feature layer.Symbology:GSE Soils kEHSlight: GreenModerate: YellowSevere: RedUnknown: Grey

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

This dataset provides information about the number of properties, residents, and average property values for Miley Street cross streets in Newton, MS.

This feature layer displays basic soil parameters within the boundary of the Grassy Ridge project, proposed by the USFS in the Monongahela National Forest, West Virginia.Purpose:The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS.Source & Date:Data downloadeded from the USDA SSURGO website in March of 2015.https://www.nrcs.usda.gov/resources/data-and-reports/soil-survey-geographic-database-ssurgoProcessing:Soil polygons from Pocahontas and Pendleton counties, West Virginia, were joined to mapunit, component and muaggat tables using mukey and cokey fields. Only relevant fields were kept.The joined polygon layer was clipped to the Grassy Ridge project boundary.New clipped layer was published to AGO as a feature layer.Symbology:GrassyRidge_Area_Soils_kEHSevere: RedModerate: YellowSlight: Green

This dataset provides information about the number of properties, residents, and average property values for Miley Lane cross streets in Couderay, WI.

This dataset provides information about the number of properties, residents, and average property values for Mikey Court cross streets in Winchester, VA.