Agricultural Land Classification Grade and Job number for post-1988 ALC surveys for England Only. Polygons showing 5 classes of agricultural land plus classifications for urban and non-agricultural land. Grade one is best quality and grade five is poorest quality. A number of consistent criteria were used for assessment which include climate (temperature, rainfall, aspect, exposure, frost risk), site (gradient, micro-relief, flood risk) and soil (depth, structure, texture, chemicals, stoniness). Full metadata can be viewed on data.gov.uk.

Agricultural Land Classification Grade and Job number for post-1988 ALC surveys for England Only. Polygons showing 5 classes of agricultural land plus classifications for urban and non-agricultural land. Grade one is best quality and grade five is poorest quality. A number of consistent criteria were used for assessment which include climate (temperature, rainfall, aspect, exposure, frost risk), site (gradient, micro-relief, flood risk) and soil (depth, structure, texture, chemicals, stoniness). Full metadata can be viewed on data.gov.uk.

Bioaccessibility values for fipronil determined using 37 paired soil and dust samples. Values for the physicochemical properties of the soils and dusts used to model the bioaccessibility data. This dataset is associated with the following publication: Starr , J., W. Li, S. Graham , K. Bradham , D. Stout , A. Williams , and J. Sylva. Using paired soil and house dust samples in an in vitro assay to assess the post ingestion bioaccessibility of sorbed fipronil. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 312: 141-149, (2016).

The Ecosystem Dynamics Interpretive Tool was developed to offer natural resource professionals, scientists and others a standard framework for cataloging information about how ecosystems respond to different land uses, management practices, and natural phenomena. EDIT now serves as the primary repository of Ecological Site information produced by the USDA Natural Resources Conservation Service (NRCS). The framework is also being used to support the development of other ecological land classifications in the U.S. and elsewhere.

This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format. The raster and vector map data have a Conterminous US-wide extent. The raster map data have a 30 meter cell size. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data. The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria. The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).

he Essential Terrestrial Variables available on HydroTerre (~200TB at present) represents the fundamental national data necessary to run high resolution catchment models anywhere in the USA. We provide this data service so scientists, students and other research organizations can use these data for their own research and experimentation at a HUC 12 scale. At present, the following national datasets are provided (see Data References link for full references):

The MLRA Geographic Database was prepared for Agriculture Handbook 296 re-publication and is used to support decisions about regional and national agricultural issues. The database and AH 296 help to identify the need for research and resource inventories. The handbook serves as the vehicle for extrapolating the results of research across political boundaries and is the basis for organizing and operating natural resource conservation programs. Today, USDA soil survey offices are organized to serve groups of the major land resource areas defined in this handbook. The handbook was first published in 1965 as an expansion of the 1950 map entitled “Problem Areas in Soil Conservation”, and was designed primarily for use by the Soil Conservation Service. The handbook was updated in 1978, and the second edition was printed in 1981. The third edition was published in 2006. The 2022 publication is the fourth edition.

This dataset shows areas within the Midlands Heartland Heathland corridor, which are known to have historically been heathland or unenclosed commons. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. A number of information sources and data layers were used to produce this layer.  Two historic information references were used as follows: Yates' 1775 Map of the County of Stafford and Historic Landscape Characterisation (HLC) Data [Wolverhampton City Council (2010) Black Country Historic Landscape Characterisation [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000030 and Adrian Axinte (2017) Birmingham Historic Landscape Characterisation (HLC) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1043264)].An indication as to areas which might be suitable for heathland creation can be provided by looking at the known former extent of the habitat in the corridor. Prior to the enclosure of the commons there was thought to be a series of heaths and commons linking Cannock Chase to Sutton Park. Areas of historic heathland were primarily mapped using OS Mastermap and OS 1:50,000 maps with reference to Yates’ (1775) map of the County of Stafford (Yates 1775 Map of the County of Stafford) as a source, which depicts the unenclosed commons stretching all the way from Cannock Chase through to Sutton Park. Interpretation was necessary to map these onto current Ordnance Survey data. To complement this, within Birmingham and the Black Country, Historic Landscape Characterisation data sources were used to help provide information on additional historic heathland areas.For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping.Datasets Used:OS MasterMapHLC data - Wolverhampton CCHLC data - Birmingham CC1775 Map of the County of Stafford - W. Yates1:50000 scale colour raster (OS)Full metadata can be viewed on data.gov.uk.

This dataset shows areas within the Midlands Heartland Heathland corridor, which are known to have historically been heathland or unenclosed commons. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. A number of information sources and data layers were used to produce this layer.  Two historic information references were used as follows: Yates' 1775 Map of the County of Stafford and Historic Landscape Characterisation (HLC) Data [Wolverhampton City Council (2010) Black Country Historic Landscape Characterisation [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000030 and Adrian Axinte (2017) Birmingham Historic Landscape Characterisation (HLC) [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1043264)].An indication as to areas which might be suitable for heathland creation can be provided by looking at the known former extent of the habitat in the corridor. Prior to the enclosure of the commons there was thought to be a series of heaths and commons linking Cannock Chase to Sutton Park. Areas of historic heathland were primarily mapped using OS Mastermap and OS 1:50,000 maps with reference to Yates’ (1775) map of the County of Stafford (Yates 1775 Map of the County of Stafford) as a source, which depicts the unenclosed commons stretching all the way from Cannock Chase through to Sutton Park. Interpretation was necessary to map these onto current Ordnance Survey data. To complement this, within Birmingham and the Black Country, Historic Landscape Characterisation data sources were used to help provide information on additional historic heathland areas.For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping.Datasets Used:OS MasterMapHLC data - Wolverhampton CCHLC data - Birmingham CC1775 Map of the County of Stafford - W. Yates1:50000 scale colour raster (OS)Full metadata can be viewed on data.gov.uk.

Nature Recovery Network map of the Midlands Heartland Heathland area including Core Habitats (Primary and Associated Habitats), Heathland Creation Opportunity areas and Secondary Enhancement Areas. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. A number of information sources and data layers were used to produce this layer. The Primary, Associated and Restorable habitat polygons were produced based on habitat and species data held by EcoRecord and SER to complement NE priority habitat inventory data. Heathland Creation Opportunity areas were identified based on a number of environmental criteria including historic landuse, habitats, and soils. For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping. Datasets Used:Habitat data - SERSpecies data - SERLocal Sites data - SERHabitat data - EcoRecordSpecies data - EcoRecordLocal Sites data - EcoRecordOS MasterMap – OS1:50000 scale colour raster (OS)Soils data - Cranfield University [NSRI]Black Country HLC data - Wolverhampton CCBirmingham HLC data - Birmingham CC1775 Map of the County of Stafford - W. YatesFull metadata can be viewed on data.gov.uk.

Nature Recovery Network map of the Midlands Heartland Heathland area including Core Habitats (Primary and Associated Habitats), Heathland Creation Opportunity areas and Secondary Enhancement Areas. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. A number of information sources and data layers were used to produce this layer. The Primary, Associated and Restorable habitat polygons were produced based on habitat and species data held by EcoRecord and SER to complement NE priority habitat inventory data. Heathland Creation Opportunity areas were identified based on a number of environmental criteria including historic landuse, habitats, and soils. For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping. Datasets Used:Habitat data - SERSpecies data - SERLocal Sites data - SERHabitat data - EcoRecordSpecies data - EcoRecordLocal Sites data - EcoRecordOS MasterMap – OS1:50000 scale colour raster (OS)Soils data - Cranfield University [NSRI]Black Country HLC data - Wolverhampton CCBirmingham HLC data - Birmingham CC1775 Map of the County of Stafford - W. YatesFull metadata can be viewed on data.gov.uk.

This dataset shows areas within the Midlands Heartland Heathland corridor, which, according to their soils and historic habitats, may be suitable for heathland creation. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. Heathland Suitability Areas were defined with reference to Cranfield University Soils Data, which informed the identification of broad areas where the soil category types would typically support heathland, as well as the Historic Heathland Extent layer.For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping.Datasets Used:Soils data - Cranfield University [NSRI]OS MasterMap – OS 1:50000 scale colour raster (OS)HLC data - Wolverhampton CCHLC data - Birmingham CC1775 Map of the County of Stafford - W. YatesFull metadata can be viewed on data.gov.uk.

This dataset shows areas within the Midlands Heartland Heathland corridor, which, according to their soils and historic habitats, may be suitable for heathland creation. The data provides evidence to aid the targeting of heathland restoration and creation in a crucial landscape corridor. Heathland Suitability Areas were defined with reference to Cranfield University Soils Data, which informed the identification of broad areas where the soil category types would typically support heathland, as well as the Historic Heathland Extent layer.For a full description of the methodology see the following report: Midlands Heathland Heartland Lowland: Heathland Nature Recovery Opportunity Mapping.Datasets Used:Soils data - Cranfield University [NSRI]OS MasterMap – OS 1:50000 scale colour raster (OS)HLC data - Wolverhampton CCHLC data - Birmingham CC1775 Map of the County of Stafford - W. YatesFull metadata can be viewed on data.gov.uk.

The National Cooperative Soil Survey - Soil Characterization Database (NCSS-SCD) contains laboratory data for more than 65,000 locations (i.e. xy coordinates) throughout the United States and its Territories, and about 2,100 locations from other countries. It is a compilation of data from the Kellogg Soil Survey Laboratory (KSSL) and several cooperating laboratories. The data steward and distributor is the National Soil Survey Center (NSSC). Information contained within the database includes physical, chemical, biological, mineralogical, morphological, and mid infrared reflectance (MIR) soil measurements, as well a collection of calculated values. The intended use of the data is to support interpretations related to soil use and management. Data Usage Access to the data is provided via the following user interfaces: 1. Interactive Web Map 2. Lab Data Mart (LDM) for querying data and generating reports 3. Soil Data Access (SDA) web services for querying data 5. Direct download of the entire database in several formats Data at each location includes measurements at multiple depths (e.g. soil horizons). However, not all analyses have been conducted for each location and depth. Typically, a suite of measurements was collected based upon assumed or known conditions regarding the soil being analyzed. For example, soils of arid environments are routinely analyzed for salts and carbonates as part of the standard analysis suite. Standard morphological soil descriptions are available for about 60,000 of these locations. Mid-infrared (MIR) spectroscopy is available for about 7,000 locations. Soil fertility measurements, such as those made by Agricultural Experiment Stations, were not made. Most of the data were obtained over the last 40 years, with about 4,000 locations before 1960, 25,000 from 1960-1990, 27,000 from 1990-2010, and 13,000 from 2010 to 2021. Generally, the number of measurements recorded per location has increased over time. Typically, the data were collected to represent a soil series or map unit component concept. They may also have been sampled to determine the range of variation within a given landscape. Although strict quality-control measures are applied, the NSSC does not warrant that the data are error free. Also, in some cases the measurements are not within the applicability range of the laboratory methods. For example, dispersion of clay is incomplete in some soils by the standard method used for determining particle-size distribution. Soils producing incomplete dispersion include those that are derived from volcanic materials or that have a high content of iron oxides, gypsum, carbonates, or other cementing materials. Also note that determination of clay minerals by x-ray diffraction is relative. Measurements of very high or very low quantities by any method are not very precise. Other measurements have other limitations in some kinds of soils. Such data are retained in the database for research purposes. Also, some of the data for were obtained from cooperating laboratories within the NCSS. The accuracy of the location coordinates has not been quantified but can be inferred from the precision of their decimal degrees and the presence of a map datum. Some older records may correspond to a county centroid. When the map datum is missing it can be assumed that data prior to 1990 was recorded using NAD27 and with WGS84 after 1995. For detailed information about methods used in the KSSL and other laboratories refer to "Soil Survey Investigation Report No. 42". For information on the application of laboratory data, refer to "Soil Survey Investigation Report No. 45". If you are unfamiliar with any terms or methods feel free to consult your NRCS State Soil Scientist. Terms of Use This dataset is not designed for use as a primary regulatory tool in permitting or citing decisions but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service or the National Cooperative Soil Survey any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these data for purposes related solely to State or local regulatory programs.

This site is part of pilot effort at the US Department of Energy (DOE) - Office of NEPA Policy and Compliance to evaluate providing IT web services as a shared service, hosted on the cloud, and using only Free and Open Source Software (FOSS). The site is a collaborative data and document sharing platform, data is made publically available both as a downloadable file in multiple Open Standard formats or as a web service using Open Geospatial Construtium (OGC) Open Standard services (WMS/WFS/WCS).

The National Soil Information System (NASIS) data system consists of multiple interrelated soil applications and databases. This data system aids in the collection, storage, manipulation and dissemination of soil information.

NIAs are areas of the country where partnerships have been set up to enhance the natural environment. NIAs embody an integrated, holistic approach that was signalled in the Natural Environment White Paper and England Biodiversity Strategy, joining up objectives for biodiversity, water, soils, farming and the low-carbon economy to improve the functioning of ecosystems and their services.Full metadata can be viewed on data.gov.uk.

NIAs are areas of the country where partnerships have been set up to enhance the natural environment. NIAs embody an integrated, holistic approach that was signalled in the Natural Environment White Paper and England Biodiversity Strategy, joining up objectives for biodiversity, water, soils, farming and the low-carbon economy to improve the functioning of ecosystems and their services.Full metadata can be viewed on data.gov.uk.

The Official Soil Series Descriptions (OSD) is a national collection of more than 20,000 detailed soil series descriptions, covering the United States, Territories, Commonwealths, and Island Nations served by USDA-NRCS. The descriptions, in a text format, serve as a national standard. The soil series is the lowest category of the national soil classification system. The name of a soil series is the common reference term, used to name soil map units. Soil series are the most homogenous classes in the system of taxonomy. “Official Soil Series Descriptions” define specific soil series in the United States, Territories, Commonwealths, and Island Nations served by USDA-NRCS. They are descriptions of the taxa in the series category of the national system of soil classification. They serve mainly as specification for identifying and classifying soils. The descriptions contain soil properties that define the soil series, distinguish it from other soil series, serve as the basis for the placement of that soil series in the soil family, and provide a record of soil properties needed to prepare soil interpretations.

From the site: "Data was created to portray the soils in Allegheny County."

Provisional Agricultural Land Classification Grade. Agricultural land classified into five grades. Grade one is best quality and grade five is poorest quality. A number of consistent criteria used for assessment which include climate (temperature, rainfall, aspect, exposure, frost risk), site (gradient, micro-relief, flood risk) and soil (depth, structure, texture, chemicals, stoniness) for England only. Digitised from the published 1:250,000 map which was in turn compiled from the 1 inch to the mile maps.More information about the Agricultural Land Classification can be found at the following links:http://webarchive.nationalarchives.gov.uk/20130402200910/http://archive.defra.gov.uk/foodfarm/landmanage/land-use/documents/alc-guidelines-1988.pdfhttp://publications.naturalengland.org.uk/publication/35012.Full metadata can be viewed on data.gov.uk.

Provisional Agricultural Land Classification Grade. Agricultural land classified into five grades. Grade one is best quality and grade five is poorest quality. A number of consistent criteria used for assessment which include climate (temperature, rainfall, aspect, exposure, frost risk), site (gradient, micro-relief, flood risk) and soil (depth, structure, texture, chemicals, stoniness) for England only. Digitised from the published 1:250,000 map which was in turn compiled from the 1 inch to the mile maps.More information about the Agricultural Land Classification can be found at the following links:http://webarchive.nationalarchives.gov.uk/20130402200910/http://archive.defra.gov.uk/foodfarm/landmanage/land-use/documents/alc-guidelines-1988.pdfhttp://publications.naturalengland.org.uk/publication/35012.Full metadata can be viewed on data.gov.uk.

Click to downloadClick for metadataService URL:  https://gis.dnr.wa.gov/site2/rest/services/Public_Forest_Practices/WADNR_PUBLIC_FP_Unstable_Slopes/MapServer/3The siteclass data layer was created for use in implementing Forest Practices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.) The siteclass data layer was derived from the DNR soils data layer's site index codes and major tree species codes for western and eastern Washington soils contained in the layer's Soils-Main table and Soils-Pflg (private forest land grade) table. Site index ranges in the Soils_PFLG took precedence over site index ranges in the Soils-Main table where data existed.The siteclass data layer was created for use in implementing new ForestPractices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.) The siteclass information was derived from the DNR soils data layer's site indexcodes and major tree species codes for western and eastern Washington soilscontained in the layer's Soils-Main table and Soils-Pflg (private forest landgrade) table. Site index ranges in the Soils_PFLG took precedence over siteindex ranges in the Soils-Main table where data existed.Siteclass codes as derived from the soil survey:For Western Washington, the 50 year site index is used        SITECLASS               SITE INDEX RANGE        I                       137+        II                      119-136        III                     97-118        IV                      76-96        V                       1-75For Eastern Washington, the 100 year site index is used        SITECLASS               SITE INDEX RANGE        I                       120+        II                      101-120        III                     81-100        IV                      61-80        V                       1-60In addition to the coding scheme above, the following codes were added forrule compliance:     SITECLASS DESCRIPTION     6 (Red Alder) The soils major species code indicated Red Alder 7 (ND/GP) No data), NA, or gravel pit 8 (NC/MFP) Non-commercial or marginal commercial forest land 9 (WAT) Water body(Rule note:  If the site index does not exist or indicates red alder,noncommercial, or marginally commercial species, the following apply:If the whole RMZ width is within those categories, use site class V.If those categories occupy only a portion of the RMZ width, then use thesite index for conifer in the adjacent soil polygon.)WADNR SOILS LAYER INFORMATION          LAYER: SOILS          GEN.SOURCE: State soils mapping program          CODE DOCUMENT: State soil surveys          CONTACT: NA          COVER TYPE: Spatial polygon coverage          DATA TYPE: Primary data     Information for the SOILS data layer was derived from the     Private Forest Land Grading system (PFLG) and subsequent     soil surveys.  PFLG was a five year mapping program     completed in 1980 for the purpose of forest land taxation.     It was funded by the Washington State Department of Revenue     in cooperation with the Department of Natural Resources,     Soil Conservation Service (SCS), USDA Forest Service and     Washington State University.     State and private lands which had the potential of     supporting commercial forest stands were surveyed.  Some     Indian tribal and federal lands were surveyed.  Because this     was a cooperative soil survey project, agricultural and non-     commercial forest lands were also included within some     survey areas.     After the Department of Natural Resources originally     developed its geographic information system, digitized     soils delineations and a few soil attributes were     transferred to the system.  Remaining PFLG soil attributes     were added at a later time and are now available through     associated lookup tables.  SCS soils data on agricultural     lands also have subsequently been added to this data layer.     Approximately 1100 townships wholly or partially contain     digitized soils data (2101 townships would provide complete     coverage of the state of Washington).     SOILS data are currently stored in the Polygon Attribute     Table (.PAT) and INFO expansion files.     COORDINATE SYSTEM: WA State Plane South Zone (5626)                        (N. zone converted to S. zone)     COORDINATE UNITS:  Feet     HORIZONTAL DATUM:  NAD27     PROJECTION NAME:   Lambert Conformal Conic **** MAJOR CODES USED FOR SITECLASS DATA*****PFLG DATA:         ITEM:   PFLG.MAJ.SPEC         TITLE:  Potential major tree species for given soil         FORMAT: INPUT   OUTPUT   DATA   DECIMAL     ARRAY   ARRAY                 WIDTH   WIDTH    TYPE   PLACES      OCCUR.  INDEX                 -------------------------------------------------                     3       3       C        0          0       0         CODE TABLE OR VALUE RANGE: SOIL.MAJ.SPEC.CODE         DESCRIPTION:               Potentially major tree species for a given soil type.  The               data carried by this item describes a major commercial               tree species that could potentially grow on a specific               soil type as identified in the Private Forest Land Grading               program (PFLG).  Non-tree codes are also included to map               non-soil ground cover, e.g. water, gravel pits.         ITEM:   PFLG.SITE.INDEX         TITLE:  Mean site index calc.from trees on given soil         FORMAT: INPUT   OUTPUT   DATA   DECIMAL     ARRAY   ARRAY                 WIDTH   WIDTH    TYPE   PLACES      OCCUR.  INDEX                 -------------------------------------------------                     3       3       I        0          0       0         CODE TABLE OR VALUE RANGE: 0-200         DESCRIPTION:               Site index data collected for the Private Forest Land               Grading soils program (PFLG).  It is a designation               of the quality of a forest site based on the height of               of the tallest trees (dominant and co-dominant trees)               in a stand at an arbitrarily chosen age.  Usually the               age chosen is 50 or 100 years.               For example, if the average height attained by the               tallest trees in a fully stocked stand at the age of 50               years is 75 feet, the site index is 75 feet.  Westside               site conditions are estimated by using an index age of               50 years, while eastside site conditions are estimated               by using an index age of 100 years.--------------------------------------------------------------------SOILS-MAIN DATA:  CODE TABLE NAME:  SOIL.MAJ.SPEC.CODE ----------------------------------------------------------------------------- CODE       MAP/REPORT   MAP  CODE DESCRIPTION            LABEL        SYMB ---------  ------------ ---- --------------------------------------------------  AF        ALPINE FIR      0 Subalpine fir  DF        DOUGLAS FIR     0 Douglas fir  GF        GRAND FIR       0 Grand fir  GP        GRAVEL PIT      0 Gravel pit  LP        LODGEPOLE PN    0 Lodgepole pine  MFP       MAR FOR PROD    0 Marginal forest productivity  NA        N/A             0 Not applicable  NC        NON-COMMERC     0 Non-commercial  ND        NO DATA         0 No data  PP        PONDEROSA PN    0 Ponderosa pine  RA        RED ALDER       0 Red alder  WAT       WATER           0 Water  WH        W HEMLOCK       0 Western hemlock  WL        W LARCH         0 Western larch  WP        W WHITE PINE    0 Western white pine       ITEM:   SITE.INDEX.SIDE       TITLE:  Indicates 100 yr or 50 yr soil site index       FORMAT: INPUT   OUTPUT   DATA   DECIMAL     ARRAY   ARRAY                 WIDTH   WIDTH    TYPE   PLACES      OCCUR.  INDEX                 -------------------------------------------------                     1       1       C        0          0       0         CODE FILE OR VALUE RANGE: SITE.INDEX.SIDE.CODE         DESCRIPTION:               Code used to indicate whether 100 year or 50 year site               index tables are used to calculate the site index of a               soil type.  Note that some site indexes for "eastside"               soils are based on the 50 year index table. SITE.INDEX.SIDE  Indicates 100 yr or 50 yr soil site index CODE FILE SITE.INDEX.SIDE.CODE             IS NOT USED BY OTHER ITEMS CODE       MAP/REPORT   MAP  CODE DESCRIPTION            LABEL        SYMB ---------  ------------ ---- --------------------------------------------------  E         100 YR SITE     0 Soil site index based on 100 year table  W         50 YR SITE      0 Soil site index based on 50 year table------------------------------------------------------------------

This dataset 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 dataset 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. A special soil features layer (point and line features) is optional. 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 in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.

This dataset consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped of 1:250,000 in the continental U.S., Hawaii, Puerto, and the Virgin Islands and 1:1,000,000 in Alaska. The dataset was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined. Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the entire map unit. This dataset consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1- by 2-degree topographic quadrangle units and merged into a seamless national dataset. The soil map units are linked to attributes in the National Soil Information system relational database, which gives the proportionate extent of the component soils and their properties. These data provide information about soil features on or near the surface of the Earth. Data were collected as part of the National Cooperative Soil Survey. These data are intended for geographic display and analysis at the state, regional, and national level. The data should be displayed and analyzed at scales appropriate for 1:250,000-scale data.

(Link to Metadata) GeologicSoils_SOAG includes a pre-selected subset of SSURGO soil data depicting prime agricultural soils in Vermont. The SSURGO county coverages were joined to the Top20 attribute table. The joined data set was then reselected on the PRIME attribute for a value not equal to NPSL, Water, or Not Rated. This ensured that all soil units with a prime rating were selected. 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. A special soil features layer (point and line features) is optional. 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 in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Survey Dates - https://www.nrcs.usda.gov/wps/portal/nrcs/surveylist/soils/survey/state/?stateId=VT

Link to Gridded Soil Survey Geographic (gSSURGO) Database download (by state or continental U.S.), via USDA-NRCS Geospatial Data Gateway (GDG).

NRCS TOP20 soils attributes and documentation

(Link to Metadata) ONSITE is a pre-selected subset of SSURGO certified soil data depicting onsite sewage disposal ratings of Vermont soils. The NRCS Top20 table was joined to SSURGO polygons. The joined data set was then DISSOLVED on the ONSITE attribute in order to merge polygons with the same ONSITE classification code. VCGI HAS NOT PERFORMED QAQC ON THE RESULTS. AS A RESULT, THIS DATASET SHOULD BE USED WITH CAUTION. NOTICE: This information identifies the new onsite sewage disposal class. This new system replaces the old classification system. Ratings are based on Vermont Environmental Protection Rules, August 16, 2002, based on 20% maximum slope - for lots created on or after June 14, 2002. It doesn't replace onsite investigation. These are the five major classes. Class I - WELL SUITED Class II - MODERATELY SUITED Class III - MARGINALLY SUITED Class IV - NOT SUITED Class V - NOT RATED Refer to documentation bundled with the SOILATTR product--AKA VT DATA - NRCS TOP20 SOILS ATTRIBUTES AND DOCUMENTATION (which is a stand-alone item in Vermont Open Geodata Portal); SOILATTR can be directly downloaded via https://drive.google.com/uc?export=download&id=13a68oimr0sVu_D4jXrNKAMNBIbVE9GN7 . Survey Dates - https://www.nrcs.usda.gov/wps/portal/nrcs/surveylist/soils/survey/state/?stateId=VT

(Link to Metadata) Nitrate Leaching Index data for the state of Vermont. This is a derivative product based on the SSURGO soils data for all counties except Essex Co., which does not yet have SSURGO soils data. Precipitation data from PRISM averaged over the 1971-2000 30-year span was used in the Leaching Index formulae. Layer was dissolved so that soil polygons with the same leaching index category were merged. 68 polygons in this layer.

A detailed, field verified inventory of the kinds and distribution of soils on the landscape. This data set is generally the most detailed level of soil geographic data prepared by soil scientists from the U.S. Department of Agriculture, Natural Resources Conservation Service, as part of the National Cooperative Soil Survey. In West Virginia SSURGO is generally mapped at 1:24,000 scale with some areas mapped at 1:12,000. The map extent for a Soil Survey Geographic (SSURGO) data set is a soil survey area, which may consist of a county, multiple counties, or parts of multiple counties. 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. Data currency 1997 to present, refer to publication data of FGDC metadata record.

From the site: "Major geologic units in the West Virginia region including metamorphic provinces, major faults, calderas, impact structures, and the limits of continental glaciation. The data depict the geology of the bedrock that lies at or near the land surface, but not the distribution of surficial materials such as soils, alluvium, and glacial deposits. Generalized geology shapefiles were downloaded from the National Atlas of the United States web site and clipped to an extent covering -76 to -84 degrees west longitude, 35 degrees 30 minutes to 42 degrees north latitude using a shape file that is included in the zip archive. Published April 2002. The data are generalized from a compilation prepared for use in the Geologic Map of North America, to be published in hard copy by the Geological Society of America and released as a digital file by the U.S. Geological Survey."