This database, produced by the Ohio Department of Natural Resources, allows users to search for specific well information.

*Personal Note: During last use, the Ohio DNR server kept returning errors without data. You need to know what specific well you want to find.

This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. C, Appendix 8, Disc 1, and used in this study of the Pittsburgh coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), the West Virginia Economic and Geological Survey (WVGES), and the Ohio Division of Geological Survey (OHGS) coal quality databases as well as published U.S. Bureau of Mines (USBM) data. The metadata file for the complete dataset is found in Chap. C, Appendix 9, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Pittsburgh coal bed includes ash yield, sulfur content, SO2 value, gross calorific value, arsenic content and mercury content for these records, as well as the ranking of these values, which is described later under the attributes in this metadata file. Analytical techniques are described in the references in Chap. C, Appendix 10, Disc 1. The analytical data are stored as text fields because many of the parameters contain letter qualifiers appearing after the numerical data values. The following is a list of the possible qualifier values: L - less than, G - greater than, N - not detected, or H - interference that cannot be easily resolved. Not all of these codes may be in this database.

Download .zipA set of five mscellaneous reference files that are used with the geologic records maintained by the ODNR-Division of Geological Survey (ODGS). These five miscellaneous reference files can be used as look up tables within a database system.

The first refernce file contains list of all the oil-and-gas fields in the state of Ohio. This reference list dates from 1998 and has been updated on the ODGS PG-1 map. The second list is the geologic formation codes used by the ODGS. The ODGS has adopted the use of the American Association of Petroleum Geologists Committee on Statistics for Drilling (AAPG-CSD) coding procedure for stratigraphic names. This coding scheme, used in FMCODES.ASC, designates a time code and a alphanumeric code derived from the formal name for each unit. The third reference file is the list of names of Ohio counties. The fourth reference file is the list of names of Ohio civil townships. The final reference file is the list of 7.5-minute topographic quadrangles in Ohio. Each of these reference files can be used as lookup tables in a database system.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

In cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration, the USGS developed a database of geomorphic data for a sampling of unregulated natural alluvial streams in Ohio. The vector point shapefile that these metadata describe is based on this geomorphic database and consists of 50 points and associated attributes. The database was developed as part of a study to develop methods to estimate bankfull characteristics of Ohio streams and to relate geomorphic characteristics of Ohio streams to peak streamflows of selected recurrence intervals. The results of the study are presented in a report by Sherwood and Huitger (2005). The database developed for this study consists of geomorphic, basin, and flood-frequency characteristics for 50 study sites in Ohio, of which 40 sites are near streamflow-gaging stations. Field surveys were done at each site to collect the geomorphic data. Bankfull indicators were identified and evaluated, cross-section and longitudinal profiles were surveyed, and bed- and bank-material were sampled. Field data were analyzed to determine various geomorphic characteristics such as bankfull width, bankfull mean depth, bankfull cross-sectional area, bankfull discharge, streambed slope, and bed- and bank-material particle-size distribution. The various geomorphic characteristics were analyzed by means of a combination of graphical and statistical techniques. These techniques resulted in a set of regional curves, simple-regression (drainage-area only) equations, and multiple-regression equations to estimate bankfull width, bankfull mean depth, bankfull cross-sectional area, and bankfull discharge. Explanatory variables included drainage area, main-channel slope, main- channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope. Average standard errors of prediction for bankfull width equations ranged from 20.6 to 24.8 percent; for bankfull mean depth, 18.8 to 20.6 percent; for bankfull cross-sectional area, 25.4 to 30.6 percent; and for bankfull discharge, 27.0 to 78.7 percent. The simple-regression (drainage-area only) equations have the highest average standard errors of prediction. The multiple-regression equations-in which the explanatory variables included drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope-have the lowest average standard errors of prediction. Statistical and graphical analyses were done to investigate development of methods to estimate flood-peak discharges from geomorphic characteristics based on the 40 study sites at streamflow-gaging stations. The logarithms of the annual peak discharges for each site were fit by a Pearson Type III frequency distribution to develop a flood-peak-frequency relation for each site. The peak-frequency data were related to geomorphic, basin, and climatic variables of the 40 study sites by multiple-regression analysis. The analyses resulted in a set of multiple-regression equations to estimate flood-peak discharge having recurrence intervals of 2, 5, 10, 25, 50, and 100 years from bankfull cross-sectional area, in which the average standard errors of prediction are 31.6, 32.6, 35.9, 41.5, 46.2, and 51.2 percent, respectively. Sherwood, J.M. and Huitger, C.A., 2005, Bankfull Characteristics of Ohio Streams and Their Relation to Peak Streamflows: U.S. Geological Survey Scientific Investigations Report 2005-5153

This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. D, Appendix 8, Disc 1, and used in this study of the Upper Freeport coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), the West Virginia Economic and Geological Survey (WVGES), and the Ohio Division of Geological Survey (OHGS) coal quality databases as well as published U.S. Bureau of Mines (USBM) data. The metadata file for the complete dataset is found in Chap. D, Appendix 9, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Upper Freeport coal bed includes ash yield, sulfur content, SO2 value, gross calorific value, arsenic content and mercury content for these records, as well as the ranking of these values, which is described later under the attributes in this metadata file. Analytical techniques are described in the references in Chap. D, Appendix 10, Disc 1. The analytical data are stored as text fields because many of the parameters contain letter qualifiers appearing after the numerical data values. The following is a list of the possible qualifier values: L - less than, G - greater than, N - not detected, or H - interference that cannot be easily resolved. Not all of these codes may be in this database.

Ohio Township Surveys (OTS) provide spatially aggregated witness tree counts within the town/township polygons that were tallied from early land survey records of town outlines and lotting subdivisions. Overall dates ranged from 1623 to 1870, but varied by town and were recorded about the time of first settlement of the town. A myriad of archived sources were tapped from town, state and national repositories, historical societies and private collections. The SetTreeComp_Ohio_Level1_v1.0 database includes records throughout the domain from the Connecticut Western Reserve at the Connecticut State Archives and various records in the Ohio State Archives collated by Charles Cogbill, the collections of the Ohio Biological Survey through the efforts of Ronald Stuckey and the McLachlan lab at Notre Dame University, and records of the Ohio Land Company by James Dyer and the Marietta College Archives. Every effort was used to avoid duplication of trees. The taxa classes were generally genera or unambiguous categories based on the vernacular names used by the surveyors. In several cases (black gum/sweet gum, ironwood, poplar/tulip poplar, cedar/juniper), because of ambiguity in the common tree names used by surveyors, a group represents trees from different families and even orders. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

Occurrence data from specimens housed in the Triplehorn Insect Collection at The Ohio State University. Data capture is an ongoing process. To date the greatest effort has focused on the orders Hymenoptera and Coleoptera. Specimens in the collection come from around the world, but the traditional geographical emphasis has been on the Midwestern and Southwestern United States.

An export of the Ohio Public Health Data Warehouse, known as Ohio OneSource.http://publicapps.odh.ohio.gov/EDW/DataCatalogThe Ohio Public Health Data Warehouse is a self-service online tool where anyone can obtain the most recent public health data available about Ohio.

                  Citation:
                  Please use the following 

citation in any publication or release which uses or references data from the Warehouse: "These data were provided by the Ohio Department of Health. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions".

Information for authorized public health personnel and IRB-approved researchers to access ODH’s secure data warehouse can be found here. http://publicapps.odh.ohio.gov/EDW/DataBrowser/Browse/OhioOneSourceOhio OneSourceCategory:Data Quality Latest Update:5/21/2018 Description: Find licensed providers. Contact Email: informatics@odh.ohio.govPurpose:This tool is intended to provide a “one stop shop” to search, filter, and extract information for all licensed healthcare facilities within the State of Ohio. Examples of provider types include, but are not limited to the following:

AS - Ambulatory Surgical CenterCI - Correctional InstitutionCL - ClinicCT- Chemical TreatmentDU - Dialysis UnitEM - Emergency Medical ServiceFA - First Aid DepartmentHH - Home Health CareHS - HospitalIM - Imaging / DiagnosticLA - LaboratoryMG - Medical Gas ServicesMH - Mental HealthNH - Nursing HomePC - Practitioner CorporationPMC - Pain Management ClinicPS - Pharmacy ServicesPT - Physical TherapyTE - TeachingUR - Urgent Care
*Data for this facility lookup tool is provided by the Ohio Board of Pharmacy and the Ohio Department of Health.

This is the code and processed data for the paper "A General Methodology for Climate Informed Approaches to Long-Term Flood Projection - Illustrated with the Ohio River Basin", which has been submitted to Water Resources Research.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The LiDAR_Data_Download script looks at the URL that contains your county or municipality data, collects all of the URLs ,and downloads each file. The program utilizes threading and in turn uses the multiple processors of your pc to download several items at the same time, it will take several hours. What you will need to do is:1. Go to https://gis1.oit.ohio.gov/ZIPARCHIVES_III/ELEVATION/3DEP/LIDAR/ in a browser find the link for your data, right click it and select 'Copy link address'2. Go to line 23 in the program and paste the hyperlink between the quotes of the url variable replacing the text 'Paste Hyperlink Here'3. Update the savePath variable on line 38, to where on your system you'd like the data saved. When I did this for Belmont County the resulting folder ended up being over 350 GB, so make sure you have sufficient hard drive space. Comments in the code should guide you through the process. I wrote & ran this in Python 3.12, but any version of Python 3 should work.Submitted By: Anthony Atkins

A GIS database of geologic units and structural features in Ohio, with lithology, age, data structure, and format written and arranged just like the other states.

This resource presents δ18O, δ2H and d-excess values of the samples collected along the transect of the Scioto River in Ohio, USA. Samples were collected on weekly, bi-weekly, and monthly scales depending on time of year and location. We also present δ18O, δ2H and d-excess data from samples collected from 26 Ohio Rivers during five sampling campaigns from 2019 – 2021. Samples were collected in by hand in 20 mL HDPE scintillation vials or with a 1 L HDPE Bottle attached to a 1 m PVC pole. Samples were stored with no headspace for transport back to The Ohio State University, Columbus, Ohio, USA, where they were analyzed on a Picarro Wavelength Scanned-Cavity Ring Down Spectroscopy Analyzer Model L2130-i. Instrument precision was 0.016‰ for δ18O and 0.15‰ δ2H. In-run accuracy for samples was determined with sample duplicates and values were ≤0.52‰ and ≤1.1‰ δ18O and δ2H, apart from one run where the δ2H expect for 2020 Ohio River samples where in-run accuracy was ≤3.4‰. All data are published in Supplementary Table 1 in the initial resource:

Smith, D. F., Wichterich, C. M., Carey, A. E., Welch, S. A., Lyons, W. B., 2024, The δ18O and δ2H fingerprint of the Scioto River: A detailed look into seasonal and spatial variations in the context of Ohio rivers: Applied Geochemistry: 162, 105882, doi: 10.1016/j.apgeochem.2023.105882

This coverage contains land-cover information for all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This dataset was derived from the U.S. Geological Survey's National Land Cover Dataset (NLCD). NLCD raster grids were downloaded from the USGS EROS Data Center web server at http://landcover.usgs.gov/natllandcover.html, by state. These grids were then reprojected, mosaiced and clipped against a polygon coverage representing the study area. Grid cell resolution is approximately 30 meters or 1 arc-second.

Download .zipThe B Law Coal Permit Maps county coverage sets were developed using the original mine maps for coal mining and reclamation permits issued under Ohio law from 1973 through 1976. Approximately 1285 B-Permits were issued during this time period, however, only approximately 414 records could be located and captured at this time. The Division of Mineral Resources Management will continue to search for missing B permit archival records as resources allow; additional B permit data may be added to this existing coverage in the future.

Ohio started issuing coal mining licenses in the 1940s. The earliest license and permit requirements were minimal and sometimes did not include submittal of a map or other delineation of the mined area. Significant changes to legal requirements are reflected by the alphabetical designation of each subsequent law revision, i.e., earlier A-law permits (circa 1966) through contemporary D-law permits. The ODNR-Division of Mineral Resources Management (DMRM) has attempted to create as complete a database as possible from available archive records, however, research has identified missing permit files. Thus, this GIS data is known to be incomplete due to the loss of archival records.

The B law permit maps were scanned at a density of 200 dots per inch (dpi). The scanned image was then heads-up digitized using Microstation computer aided design software (CAD) to create design files grouped by county location. Data captured within the design file includes permit boundary, affected boundary, test hole locations, and associated attributes. The design file was then "placed-to-ground" using ODNR Division of Geological Survey's "ODNR Land Subdivision Background Design Files" NAD83 State Plane coverages and DOQQ aerial images obtained through the Ohio Geographically Referenced Information Program (OGRIP)/Ohio Department of Administrative Services. The design file was then converted to ARC/INFO coverage and projected to State Plane Ohio Coordinates, NAD83:

Projected coordinate system name: NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet

Geographic coordinate system name: GCS_North_American_1983

A complete county coverage set consists of three data files for the permit area, affected area, and test hole locations. For example, the coverage for Belmont County includes:

belmont_b_permitted (Belmont County, B-permit area polygons) belmont_b _affected (Belmont County, B-permit affected area polygons) belmont_testholes_b (Belmont County, Test Hole points)

In addition to the ArcView shape files in the county data sets, the scanned TIF images for source documents are available at DMRM. The scanned mine map depicts information about the operations conducted, environmental resources, and extracted coal resources. If more detailed information is desired, the available archival record for each captured permit can be accessed at either the State Archives at the Ohio Historical Society or the ODNR-DMRM central office.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Mineral Resources ManagementAbandoned Mine Land Program2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

Transport Ohio developed and analyzed a significant amount of multimodal freight system data. To make that data accessible, a series of dashboards have been developed. State, regional, and local planning staff and other interested stakeholders across Ohio may query freight system data through the dashboards and have the option to either view or download the query results. This guide is designed to help users navigate the Transport Ohio dashboards and explore datasets related to Ohio’s freight system. This guide highlights key features of the dashboard modules, provides examples of how they can be queried and includes a description of the fields of information available for download.

Vector polygon map data of mileposts from the state of Ohio containing 19608 features.

Milepost GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.

These mileposts are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.

This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and G.F. Koltun in the 2017 Journal of Hydrology Regional Studies article entitled “Geospatial Tools Effectively Estimated Nonexceedance Probabilities of Daily Streamflow at Ungauged and Intermittently Gauged Locations in Ohio”. Input data includes observed streamflow values, in cubic feet per second, for 152 streamgages in and around Ohio from 01 January 2009 through 31 August 2015. Data from the Ohio Environmental Protection Agency on where and when water quality samples were taken are also provided. Geospatial locations are provided for all streamgages and sampling sites considered. ESRI ArcGIS shapefiles are available for all maps produced in the original publication. Comma-separated-value files contain the output data required to reproduce every figure in the report. This archive also includes an R script capable of reading the input files and producing output files and figures. See the README.txt file for a full description of model application.

Aeromagnetic surveys of Illinois, Indiana, and Ohio, merged to form seamless grids across the state. Gravity anomaly data are provided as well.

Download .zipThe A Law Coal Permit Maps county coverage sets were developed using the original mine maps for coal mining and reclamation permits issued under Ohio law from approximately 1966 through 1973. Approximately 1111 A-Permits were issued during this time period, however, only 350 records could be located and captured at this time. The Division of Mineral Resources Management will continue to search for missing A permit archival records as resources allow; additional A permit data may be added to this existing coverage in the future.

Ohio started issuing coal mining licenses in the 1940s. The earliest license and permit requirements were minimal and sometimes did not include submittal of a map or other delineation of the mined area. Significant changes to legal requirements are reflected by the alphabetical designation of each subsequent law revision, i.e., earlier A-law permits (circa 1966) through contemporary D-law permits. The ODNR-Division of Mineral Resources Management (DMRM) has attempted to create as complete a database as possible from available archive records, however, research has identified missing permit files. Thus, this GIS data is known to be incomplete due to the loss of archival records.

The A law permit maps were scanned at a density of 200 dots per inch (dpi). The scanned image was then heads-up digitized using Microstation computer aided design software (CAD) to create design files grouped by county location. Data captured within the design file includes permit boundary and affected boundary and associated attributes. When available, test hole locations and associated attributes were also captured. The design file was then "placed-to-ground" using ODNR Division of Geological Survey's "ODNR Land Subdivision Background Design Files" NAD83 State Plane coverages and DOQQ aerial images obtained through the Ohio Geographically Referenced Information Program (OGRIP)/Ohio Department of Administrative Services. The design file was then converted to ARC/INFO coverage and projected to State Plane Ohio Coordinates, NAD83:

Projected coordinate system name: NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet or NAD_1983_StatePlane_Ohio_North_FIPS_3401_Feet

Geographic coordinate system name: GCS_North_American_1983

A complete county coverage set consists of three data files for the permit area, affected area, and test hole locations. For example, the coverage for Harrison County includes:

harrison_a_permitted (Harrison County, A-permit area polygons) harrison_a _affected (Harrison County, A-permit affected area polygons) harrison_testholes_a (Harrison County, Test Hole points)

In addition to the ArcView shape files in the county data sets, the scanned TIF images for source documents are available at DMRM. The scanned mine map depicts information about the operations conducted, environmental resources, and extracted coal resources. If more detailed information is desired, the available archival record for each captured permit can be accessed at either the State Archives at the Ohio Historical Society or the ODNR-DMRM central office.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Mineral Resources ManagementAbandoned Mine Land Program2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov