This layer consists of a 1:250,000-scale polygon coverage containing depth-to-bedrock estimates used in preparing the GCSM for Wisconsin. The primary source for this data layer is a 1973 map at 1:1,000,000 scale published by the WGNHS and USGS. Where more recent information was available, the USGS updated the 50-foot and 100-foot contours of the depth-to-bedrock map at a scale of 1:250,000. Soil associations data, and other information,were used to add a 5-foot contour to the data layer.See the usage documentation (https://www.arcgis.com/home/item.html?id=e1e89ae505594459a46407f1daf4ad5d) and the Full report (https://www.arcgis.com/home/item.html?id=fd4d0c43abc04b4ab915586d9a0e89dd) for more information.

This data release, RI_WRpts.gdb, consists of information from Rhode Island Ground-water maps published by the Rhode Island Water Resources Coordinating Board, the Rhode Island Port and Industrial Development Commission, Rhode Island Industrial Commission, and the Rhode Island Development Council; in cooperation with the U.S. Geological Survey. The point data on these maps have been digitized into a standard ArcGIS geodatabase format. Data about wells and test borings consists of geographic location, identification number, geologic material (bedrock or unconsolidated), altitude in feet of the bedrock surface or altitude of the bottom of well, and data source. Seismic survey locations and bedrock outcrops where they are shown as points on the source maps are also included. The Ground-water maps, published between 1948 and 1964, also show geologic information which is being used to create a revised surficial materials database for future publication.

The map displays bedrock formations at or near the surface of the land, on the sea floor above the continental crust that forms the Canadian landmass, and oceanic crust surrounding the landmass. The bedrock units are grouped and coloured according to geological age and composition. The colours of offshore units and oceanic crust are paler and more generalized than those on land, although the constituent units offshore are still easily discernible from their dashed boundaries. This colour design, coupled with the use of a white buffer zone at the coast allows the coastline of Canada to be readily distinguished and still show the grand geological architecture of the Canadian landmass. The map also shows major faults that have disrupted the Earth's crust, onshore and offshore, and a variety of special geological features such as kimberlite pipes, which locally contain diamonds, impact structures suspected to have been caused by meteorites, and extinct and active spreading centres in the surrounding oceans.

Absolute depth to bedrock (in cm) predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: cm.

This digital data release contains geospatial data for the 1:250,000 scale geologic map of the Grand Island 1 degree by 2 degree quadrangle, Nebraska, originally published by Dreeszen and others (1973). The database includes line and polygon features depicting the extent of the Miocene Ogallala Formation and underlying Cretaceous rocks. The original map also included shaded patches indicating outcrop areas, and contour lines depicting the thickness of Quaternary deposits; these are not included in this database. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a description of geologic map units, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file.

Bedrock is the solid rock at or below the land surface. Over much of Ireland, the bedrock is covered by materials such as soil and gravel. The Bedrock map shows what the land surface of Ireland would be made up of if these materials were removed. As the bedrock is commonly covered, bedrock maps are an interpretation of the available data. The depth to bedrock map indicates the depth of materials sitting above the bedrock. . The Rock surface height is known as rockhead.Geologists map and record information on the composition and structure of rock outcrops (rock which can be seen on the land surface) and boreholes (a deep narrow round hole drilled in the ground). They use this information to determine the depth to bedrock.It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).The data is shown as polygons. Each depth to bedrock polygon holds information on the depth to bedrock and depth to bedrock class.Each rockhead polygon holds information on the Minimum Rockhead (m), Maximum Rockhead (m)and Rockhead Class.The data was produced for the GeoUrban Dublin Project (2007 - 2013), which aimed to publish all of the organisation’s urban datasets.

The bedrock geologic map portrays the current interpretation of the distribution of various bedrock stratigraphic units present at the bedrock surface. The bedrock surface is buried by unconsolidated surficial sediments (mostly Quaternary) over most of its extent, but this surface coincides with the modern land surface in areas of bedrock exposure. The map is consistent with all available data including drill records and well samples, as well as surface bedrock exposures (both natural and man-made) and shallow-to-bedrock soils units (NRCS county soils maps). Mapped stratigraphic intervals are portrayed primarily at the group level (i.e., a grouping of bedrock formations), each characterized by distinctive lithologies (rock types) summarized in the map key and associated metadata. The distribution of bedrock units was mapped to conform to the current map of bedrock topography (elevation of the bedrock surface). The structural configurations of relevant stratigraphic datums were intercepted with the bedrock topographic surface to produce the map contacts. The line style shown on the bedrock geologic map qualitatively reflects both data density and degree of certainty of individual stratigraphic contacts. Detailed line work is possible in areas of modern bedrock exposure, but more generalized line work (smooth and more sweeping forms) is portrayed in areas of sparser data control. The new bedrock map is, in part, a revised and updated compilation of seven multi-county bedrock maps prepared between 1998 and 2004 as part of Iowa's STATEMAP program (funded through U.S. Geological Survey). These maps were further supplemented with other STATEMAP bedrock compilations for portions of northeast and eastern Iowa, although much of the bedrock geology shown for northeast Iowa represents new and previously unpublished information. Bedrock faults are displayed in the map as sharp linear features offsetting mapped stratigraphic units.

This map is a new construct that incorporates existing geologic maps where prior mappers had adequate ground control, and new interpretations based on drill hole, geophysical, and unpublished data where they did not. The interpretation differs significantly from previous maps to reflect new data and accommodate scale. It portrays our current geologic understanding of the temporal and geographic distribution of units within major Precambrian terranes and of the Phanerozoic strata. The western part of the mapped Precambrian terrane is inferred largely from geophysical maps, anchored locally by drilling. In many places, contacts are drawn between units of the same or similar apparent rock type (and same unit label); these are recognized as geometrically distinct, though geophysically or lithologically similar. Digital files corresponding to this map allow removal of Cretaceous, Paleozoic, and some parts of Mesoproterozoic strata to reveal an interpretation of the underlying Precambrian bedrock.

Note: This publication supersedes the bedrock geologic map elements of MGS Open-File OF10-02. Other components of OF10-02 are still valid, including the state-wide maps of bedrock topography, depth to bedrock, and outcrop locations, and the geochronology shapefiles.

This image in this tile service shows the thickness of the overburden across Massachusetts at 100-meter resolution. This raster image is a model of the depth to bedrock at 100-meter resolution determined by subtracting an altitude model of the bedrock surface from topography; all at 100-meter resolution. The altitude model from which the depth to bedrock is estimated is based on the data points feature class.Map service also available.See full metadata page.

This is a collection of bedrock geologic mapping data compiled at scales of 1:24,000, 1:100,000, and 1:500,000. The data depict the uppermost bedrock geology and major alluvial deposits in Missouri. Not all parts of the State have been mapped at the 1:24,000 or 1:100,000 scale levels.

The Bedrock Topography map represents the elevation (in feet above mean sea level) of the top of bedrock and the bottom of Quaternary sediments mapped in Dakota County, Minnesota. The Depth to Bedrock map portrays the thickness (in feet) of Quaternary sediments overlying the bedrock surface. The depth to bedrock is equal to the depth from the land surface to the underlying bedrock surface.

This map portrays our current geologic understanding of the temporal and geographic distribution of units within major Precambrian terranes and of the Phanerozoic strata. The state wide data is mapped at a scale of 1:500,000 and the county bedrock datasets (Becker, Brown, Meeker, Isanti, Cass) are mapped at a 1:100,000 scale. A Story Map displaying this data can be found at Minnesota's Bedrock Geology story map.The western part of the mapped Precambrian terrane in the state wide dataset is inferred largely from geophysical maps, anchored locally by drilling. In many places, contacts are drawn between units of the same or similar apparent rock type (and same unit label); these are recognized as geometrically distinct, though geophysically or lithologically similar. Digital files for the state wide bedrock (http://hdl.handle.net/11299/101466) corresponding to this map allow removal of Cretaceous, Paleozoic, and some parts of Mesoproterozoic strata to reveal an interpretation of the underlying Precambrian bedrock.

For additional state wide data see: (http://hdl.handle.net/11299/98043) which contains files associated with Bedrock Topography, Depth to Bedrock, and locations of Outcrop and Geochronologic analyses. Individual county bedrock can be found and downloaded at the University of Minnesota's Digital Conservancy.

BEDROCK_SURFACE_250K_IGS_IN.SHP is an Esri line shapefile providing a contoured depiction of the bedrock surface elevation of Indiana. Surface contours are represented by polylines (50 foot contour interval) each with a single value that provides estimated elevation of bedrock surface in feet.

description: This dataset is a compilation of depth to bedrock surface data for state of Iowa, compiled by the Iowa Geological and Water Survey and provided by Illinois State Geological Survey. Iowa Bedrock Depth Dataset is published as a Web feature service, a web map service, and an ESRI service for the National Geothermal Data System. For more information on these data see links provided.; abstract: This dataset is a compilation of depth to bedrock surface data for state of Iowa, compiled by the Iowa Geological and Water Survey and provided by Illinois State Geological Survey. Iowa Bedrock Depth Dataset is published as a Web feature service, a web map service, and an ESRI service for the National Geothermal Data System. For more information on these data see links provided.

This dataset describes the depth to bedrock (based on 100-foot contour intervals) and the areas of significant bedrock outcrops in Minnesota, as delineated by the Minnesota Geological Survey. It is an automated version of the Minnesota Geological Survey State Map Series Map S-14 (Geologic Map of Minnesota: Depth to Bedrock), 1982, by B.M. Olsen and J.H. Mossler. (1:1,000,000). The file is a modification of the published map. The file was modified by the Minnesota Pollution Control Agency to create closed polygons where none existed on the base map. This occurred primarily in the northwestern portion of the state, where few data points existed to draw contour lines, but where the depth to bedrock is generally high. This was done in order to enable the creation of a polygon digital coverage. The Arc/Info version of the dataset has been broken into two layers: depth to bedrock (DPTHBDRK) and outcrops (OUTCROP). The EPPL grid version exists as one file (DEPTHCROP.EPP)

The Bedrock Topography map represents the elevation (in feet above mean sea level) of the top of bedrock and the bottom of Quaternary sediments mapped in Pipestone County, Minnesota. The Depth to Bedrock map portrays the thickness (in feet) of Quaternary sediments overlying the bedrock surface. The depth to bedrock is equal to the depth from the land surface to the underlying bedrock surface.

Using publicly available data for Seneca and Wayne counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation models (DEMs) and a modeled stream network. Closed depressions were identified from the processed DEMs using threshold criteria of 10 and 30 centimeters (3.9 and 11.8 inches) for depth and 100 square meters (1076 square feet) for area. A combination of hydrologic, mining, and cultural features was used to eliminate false positives and filter out features that overlie existing waterbodies, streams, and mines and to remove artificial dams along roadways and railways. This data release includes shapefiles containing the well data information including location, well depth, depth to bedrock, and groundwater depth; bedrock geology; surficial geology; interpolated bedrock surface contours; interpolated groundwater surface contours; soil saturated hydraulic conductivity; soil classes; and modeled closed depressions of 10 cm and 30 cm depth thresholds. This release also contains rasters of the interpolated bedrock surface, interpolated groundwater surface and land use.

This is Version 2 of the Depth of Regolith product of the Soil and Landscape Grid of Australia (produced 2015-06-01).

The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).

Attribute Definition: The regolith is the in situ and transported material overlying unweathered bedrock; Units: metres; Spatial prediction method: data mining using piecewise linear regression; Period (temporal coverage; approximately): 1900-2013; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute:3; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Data license : Creative Commons Attribution 4.0 (CC BY); Variance explained (cross-validation): R^2 = 0.38; Target data standard: GlobalSoilMap specifications; Format: GeoTIFF. Lineage: The methodology consisted of the following steps: (i) drillhole data preparation, (ii) compilation and selection of the environmental covariate raster layers and (iii) model implementation and evaluation.

Drillhole data preparation: Drillhole data was sourced from the National Groundwater Information System (NGIS) database. This spatial database holds nationally consistent information about bores that were drilled as part of the Bore Construction Licensing Framework (http://www.bom.gov.au/water/groundwater/ngis/). The database contains 357,834 bore locations with associated lithology, bore construction and hydrostratigraphy records. This information was loaded into a relational database to facilitate analysis.

Regolith depth extraction: The first step was to recognise and extract the boundary between the regolith and bedrock within each drillhole record. This was done using a key word look-up table of bedrock or lithology related words from the record descriptions. 1,910 unique descriptors were discovered. Using this list of new standardised terms analysis of the drillholes was conducted, and the depth value associated with the word in the description that was unequivocally pointing to reaching fresh bedrock material was extracted from each record using a tool developed in C# code.

The second step of regolith depth extraction involved removal of drillhole bedrock depth records deemed necessary because of the “noisiness” in depth records resulting from inconsistencies we found in drilling and description standards indentified in the legacy database.

On completion of the filtering and removal of outliers the drillhole database used in the model comprised of 128,033 depth sites.

Selection and preparation of environmental covariates The environmental correlations style of DSM applies environmental covariate datasets to predict target variables, here regolith depth. Strongly performing environmental covariates operate as proxies for the factors that control regolith formation including climate, relief, parent material organisms and time.

Depth modelling was implemented using the PC-based R-statistical software (R Core Team, 2014), and relied on the R-Cubist package (Kuhn et al. 2013). To generate modelling uncertainty estimates, the following procedures were followed: (i) the random withholding of a subset comprising 20% of the whole depth record dataset for external validation; (ii) Bootstrap sampling 100 times of the remaining dataset to produce repeated model training datasets, each time. The Cubist model was then run repeated times to produce a unique rule set for each of these training sets. Repeated model runs using different training sets, a procedure referred to as bagging or bootstrap aggregating, is a machine learning ensemble procedure designed to improve the stability and accuracy of the model. The Cubist rule sets generated were then evaluated and applied spatially calculating a mean predicted value (i.e. the final map). The 5% and 95% confidence intervals were estimated for each grid cell (pixel) in the prediction dataset by combining the variance from the bootstrapping process and the variance of the model residuals. Version 2 differs from version 1, in that the modelling of depths was performed on the log scale to better conform to assumptions of normality used in calculating the confidence intervals. The method to estimate the confidence intervals was improved to better represent the full range of variability in the modelling process. (Wilford et al, in press)

This digital data release contains spatial datasets of bedrock geology, volcanic ash bed locations, test hole locations, bedrock outcrops, and structure contours of the top of bedrock and the base of the Ogallala Group from a previously published map (Souders, 2000). The GeologicMap feature dataset contains separate feature classes for the Ogallala Group map unit (ContactsAndFaults and MapUnitPolys) and the underlying pre-Ogallala bedrock map units (ContactsAndFaults_Bedrock and MapUnitPolys_Bedrock). The VolcanicAshBedPoints feature class contains the locations of volcanic ash beds within the Ogallala Group. The contours depicting the elevation of the top of bedrock (top of Ogallala Group where present and top of pre-Ogallala bedrock where Ogallala is absent) are contained in the IsoValueLines_TopBedrock feature class. The contours depicting the elevation of the base of the Ogallala Group are contained in the IsoValueLines_BaseOgallala feature class. Contoured values are given in both feet and meters. Feature classes containing the location of test holes (TestHolePoints) and bedrock outcrops (OverlayPolys) that were used in generating the structure contour surfaces are included. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables. Surficial geologic units that are only represented as cross-sections on the original map publication, and the cross-sections themselves, are not included in this digital data release.

This data release consists of a single ESRI shapefile, Hydrogeo_SECTpts, with geologic information from the previously published Hydrogeology of Southeastern Connecticut (Melvin, 1974). Test boring location points digitized from georeferenced area maps (1:24,000 scale) are attributed with associated well log information: town, identification numbers, altitude, depth to bottom, and remarks regarding the geology of the well finish. Descriptions for the bottoms of boreholes recorded the source driller's logs.