This data layer contains the bedrock-geology units that are represented as points on the 1:24,000-scale bedrock-geology maps. The points represent geologic units that are too small to represent as polygons in a GIS data set. The points were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.

Cameroon administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.

These layers are suitable for database or GIS linkage to the Cameroon - Subnational Population Statistics tables using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Togo administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.

These layers are suitable for database or GIS linkage to the Togo - Subnational Population Statistics tables.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

The Parcels GIS layer was developed to provide the Morris County Planning Board with the local and regional information necessary for the writing of county master plans and for general land use planning purposes. It is being provided to municipalities as a service to reduce their costs of developing the basic elements of a GIS and for their use in local and regional planning and administrative efforts. It will hopefully reduce redundancy of information and provide governmental agencies with a cohesive base of information . First Stage: Map showing stages of data generation. Mylar copies of tax maps were hand digitized in-house by GIS staff. The features captured were: tax lot lines, tax block lines, municipal boundary lines, easement lines and Right of Way lines. Attribute information collected were: tax lot numbers, tax block numbers, municipality names, descriptive easement data. The information was spatially located by overlaying tax maps on planimetric digital data. The planimetric data were obtained from contact prints and film diapositives of the "NAPP", 1991, 1:40,000 color infrared, aerial photography sufficient to provide stereo coverage of the project area. The project required the establishment of New Jersey State Plane Coordinates in NAD 83 to control the 53 quarter quads necessary to map the entire County of Morris. At least two control points per quarter quad were selected and surveyed. Features obtained from this project were roads, building centroids, large building footprints, visible surface water and transmission lines. Second Stage: Map showing stages of data generation. Mylar copies of tax maps were scanned creating what is called a raster (picture) image of the tax map. A consultant was hired to convert the raster image into vectorized line work. All information from each tax map was converted, so the resulting file was as accurate a representation of the municipal tax map as possible. The vectorized tax maps were then overlain upon the planimetric data and "knitted" together. The "knitting" process is not edge-matching, but rather an attempt to overcome the inconsistencies of tax maps both in scale and accuracy as they relate to spatial relationships, both between tax map sheets and between municipalities. Third Stage: Map showing stages of data generation. In April of 1999, the county began the process of having digital orthophotography flown at a scale of 1" = 200' at a pixel resolution of 1.25 pixels per foot. Specifications for Orthophotography Simultaneously, the county had the remaining tax maps scanned and vectorized. When 1 and 2 above were complete the county had the necessary ingredients to create a seamless county-wide parcel base map. Specifications for seamless basemap Additionally, all preexisting GIS from stages 1 and 2 were reoriented to conform to the locational accuracy that was now available from the digital orthophotography.Morris County GIS Services recognizes the existence of unmatched GIS Parcel - Tax Record data in its GIS. We advise any users of this data to review the unmatched parcels prior to attempting to perform any analysis using Tax Record data. Furthermore, similar data checking practices should be used when attempting to link any external data to a GIS. As revisions to Morris County's GIS parcels approaches "real-time", and as the County implements strategies to account for additional lots and multi-story condominiums, we hope to eliminate unmatched tax records. Until the County's GIS Parcels evolve to account for such complexities, Morris County GIS Services will continue to track these anomalies for user information.Contact:Morris County Planning and Development;1-973-829-8120;morrisgis@co.morris.nj.us

The Geographic Information Retrieval and Analysis System (GIRAS) was developed in the mid 70s to put into digital form a number of data layers which were of interest to the USGS. One of these data layers was the Hydrologic Units. The map is based on the Hydrologic Unit Maps published by the U.S. Geological Survey Office of Water Data Coordination, together with the list descriptions and name of region, subregion, accounting units, and cataloging unit. The hydrologic units are encoded with an eight- digit number that indicates the hydrologic region (first two digits), hydrologic subregion (second two digits), accounting unit (third two digits), and cataloging unit (fourth two digits).

The data produced by GIRAS was originally collected at a scale of 1: 250K. Some areas, notably major cities in the west, were recompiled at a scale of 1: 100K. In order to join the data together and use the data in a geographic information system (GIS) the data were processed in the ARC/INFO GUS software package. Within the GIS, the data were edge matched and the neatline boundaries between maps were removed to create a single data set for the conterminous United States.

This data set was compiled originally to provide the National Water Quality Assessment (NAWQA) study units with an intermediate- scale river basin boundary for extracting other GIS data layers. The data can also be used for illustration purposes at intermediate or small scales (1:250,000 to 1:2 million).

[Summary provided by EPA]

Publication Date: February 2025. This polygon layer is updated annually.

This layer contains 2023-2024 parcel data only for NY State counties which gave NYS ITs Geospatatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided the Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow the Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State.

Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2023-2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel.

Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page.

This layer displays when zoomed in below 1:37,051-scale.

This map service is available to the public.

Geometry accuracy varies by contributing county.

Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, New York City (Bronx, Kings, New York, Queens, Richmond), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, Steuben, St Lawrence, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester.

The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

Publication Date: February 2025. The Westchester County Parcels layer contains 2023- 2024 parcel data only for the County which gave NYS ITS Geospatial Services permission to share this data with the public. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS).Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel. Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. This map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

Download .zipThis data layer contains the mine-point locations found on the 1:24,000-scale bedrock-geology maps of Ohio. The mine points were drawn on the maps to show where surface mining has affected the depiction of the bedrock geology. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.Contact Information:Geological Survey, Customer ServiceOhio Department of Natural ResourcesDivision of Geological SurveyGeologic Records2045 Morse RoadColumbus, OH, 43229-6693Telephone: 614-265-6576Email: geo.survey@dnr.ohio.gov

"South Sudan administrative level 0-3 boundaries (COD-AB) dataset.

These administrative boundaries were established in: 2020

NOTE: Ages disaggregated into only four cohorts. No COD-PS record for Abyei Region. See COD-PS caveat about data rounding. The geoservice layer and the pak_admbndl_admALL_ocha_itos_20230308 lines shapefile contains the following special 'admLevel' codes:

76 = Northern boundary of the disputed area known as the Ilemi Triangle between South Sudan and Kenya (not a boundary fo any administrative polygon) 77 = Remainder of the boundary between South Sudan and Sudan 78 = That part of the Abyei region bouhndary that borders Sudan 79 = That part of the Abyei region boundary that borders the rest of South Sudan (not included in the polygons layers)

This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB requires improvements.

Sourced from South Sudan Information Management Working Group (IMWG), National Bureau of Statistics (NBS), International Organization for Migration (IOM) and OCHA

Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the South Sudan COD-PS.

No edge-matched (COD-EM) version of this COD-AB has yet been prepared.

Please see the COD Portal.

Administrative level 1 contains 10 feature(s). The normal administrative level 1 feature type is ""State"".

Administrative level 2 contains 79 feature(s). The normal administrative level 2 feature type is ""County"".

Administrative level 3 contains 512 feature(s). The normal administrative level 3 feature type is ""Payam"".

Recommended cartographic projection: UTM zone 36 (mainly) but partly zone 35

This metadata was last updated on January 9, 2025."

State of Palestine administrative level 0-2 boundaries (COD-AB) dataset.

These administrative boundaries were established in: 1995

NOTE: SPECIAL NOTE: The geoservices for this dataset do not yet have the lines modification described below. (The shapefiles and geodatabase do.) They will be updated in the week of 2023_10_22.""State of Palestine administrative level 0-2 boundaries (COD-AB) dataset. COD-PS updated to 2023 reference year. COD-AB lines layer adapted to faciltate UN Geocarto cartographic representation.

NOTE The following AdmLines geoservice layer and the pse_admbndl_admALL_ocha_itos_20230308 lines shapefile ADMLEVEL codes

84: Boundary between West Bank and Israel 85 = Boundary between GAza and Israel Remainder of the boundary between South Sudan and Sudan 88 = ""No man's land"" limit (not part of any administrative polygon edge)

This COD-AB was most recently reviewed for accuracy and necessary changes in December 2024. The COD-AB does not require any update.

Sourced from Palestinian Authority Ministry of Planning

Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the State of Palestine COD-PS.

No edge-matched (COD-EM) version of this COD-AB has yet been prepared.

Please see the COD Portal.

Administrative level 1 contains 2 feature(s). The normal administrative level 1 feature type is ""Territory or Region?"".

Administrative level 2 contains 16 feature(s). The normal administrative level 2 feature type is ""Governorate"".

Recommended cartographic projection: Asia South Albers Equal Area Conic

This metadata was last updated on January 9, 2025.

Download .zipThis data layer contains the 1:24,000-scale bedrock-geology data of Ohio. Data were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps. Data included in this dataset includes bedrock geology (BG) point, BG polygons, BG unit lines, BG contacts, bedrock structure points, faults and folds, miscellaneous points, mine polygons, mine lines, mine outlines, facies changes and limits of mappable units. All these features will have an individual metadata (xml) record associated with them.Contact Information:Geological Survey, Customer ServiceOhio Department of Natural ResourcesDivision of Geological SurveyGeologic Records2045 Morse RoadColumbus, OH, 43229-6693Telephone: 614-265-6576Email: geo.survey@dnr.ohio.gov

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

DEPI originally engaged GHD to develop seamless 3D aquifer surfaces for the Victorian Aquifer Framework (VAF). The seamless mapping of aquifers across the state provides the fundamental framework for groundwater resource management, underpins development of a revised management structure for Victoria (the Secure Allocation Future Entitlement project funded by the National Water Commission) and contributes to the data needs of the Bureau of Meteorology National Groundwater Information System (NGIS).

The original dataset was produced by GHD in 2012 using (in part) data provided by Southern Rural Water Corporation and Goulburn-Murray Water Corporation. It has been subsequently amended by Hocking et al and SKM in 2013.

Dataset History

A number of key input datasets were sourced as part of the process to derive the 3D aquifer surfaces. These datasets included: The DEPI State-wide Stratigraphic Database (SSD); The National Groundwater Information System (NGIS) database containing groundwater borehole location information as well as lithological and stratigraphic information; Raster layers previously produced for Southern Rural Water (SRW) by SKM and GHD in 2009; The crystalline basement surface provided by the former Department of Primary Industries (DPI); Outcrop 1:250,000 scale geological mapping compiled by the former Geological Survey of Victoria, DPI; A state-wide 100m Digital Elevation Model (DEM) based on the DEPI 20m DEM. This was used to represent the natural surface; Data generated using DEPI's state-wide ecoMarkets groundwater modelling package to assist with the definition of key layers of the major Cainozoic aquifers; Latrobe Valley Coal Model which was used to provide a framework for the hydro-stratigraphy of the wet Gippsland Basin; Rasters of the top elevation of the major aquifer systems covering the Kiewa, Ovens, Goulburn-Broken and Loddon and Campaspe catchments; Data extracted from the Basin in a Box, the Murray Basin Hydrological Map Series and the Murray-Darling Basin Groundwater Status 1990-2000: Summary Report; Airborne magnetic data publicly available from raster data published by the former Geological Survey of Victoria, DPI. Once the input data had been compiled, the VAF 3D surfaces were developed by lfollowing a number of key steps, summarised below: (1) Contours as polylines and aquifer extents as polygons were extracted from previous mapping surfaces; (2) Outcrop points attributed with values from the DEM were created; (3) Based on the state-wide stratigraphic database, the contours and extents were refined or created; (4) A top elevation raster was interpolated using contours, outcrop points and bore data then replacing outcrop areas with the DEM; (5) The aquifer thickness was then checked in GIS by comparing layers against each other and assessing for cross-overs and negative thickness; (6) The input data was then revised and bore data, contours, and aquifer extents modified as required due to errors in the thickness; (7) If there were subsequent issues identified such as overlaps between aquifers, mismatches between bores and resulting layers, then the process was revised by returning to Step (3); (8) If the layers were matching well, then extent points were created to smooth layers at the edges; (9) A top elevation raster was generated again using contours, outcrop points, extent points and bore data; (10) The aquifer thickness was checked again, and if significant issues were identified, then the process returned back to Step (3) for further iteration; (11) Further modifications were applied to remove negative thicknesses and to provide minimum thickness of overburden; (12) Top and bottom elevation rasters were then generated at 100m pixel resolution to form the final dataset. In generating each of the layers, a number of Quality Assurance (QA) measures were implemented at various stages of the process. These included a topologic review, a hydrogeological review and an external reveiw by Spatial Vision. The original dataset was published in May 2012 and subsequent revisions have been conducted by Hocking et al and SKM in 2013.

Dataset Citation

Victorian Department of Environment and Primary Industries (2014) Victorian Aquifer Framework - Water Table. Bioregional Assessment Source Dataset. Viewed 11 July 2016, http://data.bioregionalassessments.gov.au/dataset/663871a0-0444-4be4-bd2b-6741e114036e.

Myanmar administrative level 0-5 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

These layers are suitable for database or GIS linkage to the Myanmar - Subnational Population Statistics tables.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

This edge-matched product is based on the Myanmar - Subnational Administrative Boundaries (COD-AB).

This data layer contains miscellaneous points that are found on the 1:24,000-scale bedrock-geology maps. The points represent drill holes, diamond drill holes, well-exposed bedrock locations, and type sections. The points were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.

In the Great Lakes, grid systems defined by latitude and longitude minutes have been used for a number of decades as a fishery standard for data reporting. The Michigan Department of Natural Resources (MDNR) Fisheries Division created this GIS layer in 2019 to depict the MDNR Michigan Great Lakes grid (v3.2) standard for Fisheries Division applications for the waters of the State of Michigan, and for Canadian waters in the St. Clair Detroit River System (SCDRS), as of June 2019. This GIS layer was created by incorporating grid boundaries and ID values from a number of existing grid standards. This layer is a composite grid that incorporates grid boundaries and ID values from the following GIS data standards for different areas of the Great Lakes: 1) 10-minute grids for Lakes Huron, Michigan, Superior and the St. Mary’s River came from the Institute for Fisheries Research (IFR) version 1 (v1) of the 10-minute grids. 2) 10-minute grids for Lake Erie came from version 2 of the IFR 10-minute grids created by the Great Lakes GIS (GLGIS) project, and 3) 5-minute grids for SCDRS came from 5-minute grids developed by the GLGIS project. Version 1 of the IFR 10-minute grids were created in 1998, and only covered Lakes Huron, Michigan, and Superior, and the St. Mary’s River. This is the GIS dataset that was used as the grid standard for the 2000 consent decree. The grid boundaries and ID values in v1 were based off of the paper maps depicted in the 1989 Status of the Fisheries Resource Report (Technical Review Committee, 1989) with some very minor grid boundary differences likely caused by bringing the paper map into a digital GIS format. In v1, 10-minute grids do not always have rectangular boundaries where each side represents 10-minutes of latitude and longitude, especially near the shoreline. In order to create the v3.2 composite layer, some features in the v1 GIS dataset that were missing ID values were assigned ID values based on historical creel maps or nearby grid ID values. Version 2 of the IFR 10-minute grids was created in 2006 and provides coverage forall five Great Lakes, but only partial coverage in the connecting channels, with no coverage in SCDRS. In contrast to v1, 10-minute grids in this dataset are true 10-minute grids with rectangular sides that strictly follow 10-minute latitude and longitude lines (along with some cases where two true 10-minute grids were combined into one grid cell with one ID value). Due to the differences in grid boundaries, there are some different ID values across v1 and v2. The GLGIS 5-minute grid GIS dataset was created in 2006 at IFR. This layer contains rectangular 5-minute grids that are true 5-minute grids, with each side of every grid representing 5-minutes of latitude or longitude. 5-minute grids were used for SCDRS in v3.2 to align with historical data reporting standards in the region, and because there are no 10-minute grids that fully cover SCDRS. 5-minute grids created by the GLGIS only exist for SCDRS, Lake Erie, and Lake Huron, and the reason for this is unknown. SCDRS grids on the Canadian side of the basin are included in v3.2 for Fisheries Division data reporting needs that may include Canadian areas of SCDRS, but these grids in Canadian waters may not represent the standard that is actively used by Canadian agencies. In order to create the v3.2 composite, grid cells from the various GIS data sources were merged together for water bodies as specified above. In v3.2 the grids are almost exactly as they appear in the source data (with minor edits such as edge matching) except where 10-minute grids 602 and 603 in Lake Erie from Version 2 were replaced with GLGIS 5-minute grids. These grids cover the transition between the Detroit River and Lake Erie, where 10-minute grids are too large for some fisheries data reporting purposes. Therefore in v3.2, the two 10-minute grids were replaced with four 5-minute grids from the GLGIS 5-minute grid dataset. ID values were kept from the 5-minute grids for the two northern cells but the two southern grids cells retain ID values from the GLGIS v2 10-minute grids (602 and 603). This was done to allow continuity with historical data that has been recorded for 10-minute grids 602 and 603, but users need to be aware that these ID values in v3.2 are now associated with 5-minute grids instead of 10-minute grids. Version 3.2 was subsequently slightly altered to create Version 3.3, which replaced the shoreline in Northern Lake Huron and slightly altered the shoreline near the Soo Locks in the St. Mary's River to match zones, closures, etc. described in the Consent Decree that were depicted with a more detailed shoreline than the v3.2 shoreline. This was done so that those zones, closures, etc. could be depicted along with the Michigan Great Lakes Grids and have alligning shoerline depictions (see Figures 13, 12 & 16 for examples of the more detailed shoreline). GIS layer was last updated 10/01/2019. Metadata last updated 10/02/2019.

Nigeria administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

These layers are suitable for database or GIS linkage to the Nigeria - Subnational Population Statistics tables.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Cameroon administrative level 0-1 and major metropolises sex and age disaggregated projected 2024 population statistics. This dataset also contains historical data for: 2023.

REFERENCE YEAR 2024

These tables are suitable for database or GIS linkage to the Cameroon - Subnational Administrative Boundaries and Cameroon - Subnational Edge-matched Administrative Boundaries layers using the ADM0, and ADM1_PCODE fields.

This data layer contains the 1:24,000-scale bedrock-geology polygons for Ohio. The polygons were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.

This data layer contains the mine polygons found on the 1:24,000-scale bedrock-geology maps of Ohio. The mine polygons were drawn on the maps to show where surface mining has affected the depiction of the bedrock geology. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.

Dominican Republic administrative level 0-2 projected 2023 sex and age disaggregated population statistics

REFERENCE YEAR: 2023

These tables are suitable for database or GIS linkage to the Dominican Republic - Subnational Administrative Boundaries or Dominican Republic - Subnational Edge-matched Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.