100+ datasets found
  1. t

    Groundwater Database - Texas Water Data Hub

    • txwaterdatahub.org
    Updated Sep 4, 2023
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    (2023). Groundwater Database - Texas Water Data Hub [Dataset]. https://txwaterdatahub.org/dataset/groundwater-database
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    Dataset updated
    Sep 4, 2023
    Description

    The Texas Water Development Board (TWDB) Groundwater Database (GWDB) contains information on selected water wells, springs, oil/gas tests (that were originally intended to be or were converted to water wells), water levels, and water quality to gain representative information about aquifers in Texas to support water planning from a local to a more regional perspective. This is a scientific database, not a registry of every well drilled in the state.

  2. O

    Groundwater Database - Queensland

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    spatial data format +1
    Updated Jul 13, 2025
    + more versions
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    Local Government, Water and Volunteers (2025). Groundwater Database - Queensland [Dataset]. https://www.data.qld.gov.au/dataset/groundwater-database-queensland
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    xml(1 KiB), spatial data format(45 MiB)Available download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    Local Government, Water and Volunteers
    Area covered
    Queensland
    Description

    Database storing registered water bore data from private water bores and Queensland Government groundwater investigation and monitoring bores. Data includes bore location, water levels, construction details, strata log, and water quality.

  3. d

    Data from: A Database of Groundwater Wells in the United States

    • search.dataone.org
    • beta.hydroshare.org
    • +1more
    Updated Mar 30, 2024
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    Chung-Yi Lin; Alex Miller; Musab Waqar; Landon Marston (2024). A Database of Groundwater Wells in the United States [Dataset]. http://doi.org/10.4211/hs.8b02895f02c14dd1a749bcc5584a5c55
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    Hydroshare
    Authors
    Chung-Yi Lin; Alex Miller; Musab Waqar; Landon Marston
    Area covered
    Description

    Groundwater wells are critical infrastructure that enable the monitoring, extraction, and use of groundwater, which has important implications for the environment, water security, and economic development. Despite the importance of wells, a unified database collecting and standardizing information on the characteristics and locations of these wells across the United States has been lacking. To bridge this gap, we have created a comprehensive database of groundwater well records collected from state and federal agencies, which we call the United States Groundwater Well Database (USGWD). Presented in both tabular form and as vector points, the USGWD comprises over 14.2 million well records with attributes such as well purpose, location, depth, and capacity for wells constructed as far back as 1763 to 2023. Rigorous cross-verification steps have been applied to ensure the accuracy of the data. The USGWD stands as a valuable tool for improving our understanding of how groundwater is accessed and managed across various regions and sectors within the United States.

  4. EM Groundwater Database

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Aug 6, 2025
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    DOE/Office of Environmental Management (2025). EM Groundwater Database [Dataset]. https://catalog.data.gov/dataset/em-groundwater-database
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    Dataset updated
    Aug 6, 2025
    Dataset provided by
    DOE Office of Environmental Management
    United States Department of Energyhttp://energy.gov/
    Description

    The EM Groundwater Database provides a centralized location for information relating to groundwater flow, contamination, and remedial approaches across the DOE complex.

  5. C

    USGS Groundwater Data for the Nation - National Water Information System...

    • data.cnra.ca.gov
    • data.usgs.gov
    • +6more
    Updated Jul 16, 2020
    + more versions
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    United States Geological Survey (2020). USGS Groundwater Data for the Nation - National Water Information System (NWIS) [Dataset]. https://data.cnra.ca.gov/dataset/usgs-groundwater-data-for-the-nation-national-water-information-system-nwis
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    Dataset updated
    Jul 16, 2020
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.

  6. a

    Groundwater Monitoring Sites and Measures

    • data-ndwr.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 3, 2021
    + more versions
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    Nevada Division of Water Resources (2021). Groundwater Monitoring Sites and Measures [Dataset]. https://data-ndwr.hub.arcgis.com/maps/14e43de0156c4335962772da545d1443
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    Dataset updated
    Dec 3, 2021
    Dataset authored and provided by
    Nevada Division of Water Resources
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature class is updated every business day using Python scripts and the WellNet database. Please disregard the "Date Updated" field as it does not keep in sync with DWR's internal enterprise geodatabase updates. The NDWR's water monitoring database contains information related to sites for groundwater measurements. These data are used by NDWR to assess the condition of the groundwater and surface water systems over time and are available to the public on NDWR’s website. Groundwater measurement sites are chosen based on physical location and access considerations, permit terms, and to maximize the distribution of measurement points in a given basin.Groundwater monitoring sites are typically chosen based on spatial location, access, and period of record considerations. When possible NDWR tries to have a distribution of monitoring locations within a given hydrographic area. The entity who does the monitoring depends on the site – for example, some mines have well fields where they collect data and submit those data to NDWR as a condition of their monitoring plan – and some sites are monitored by NDWR staff annually or more frequently. While people can volunteer to have their well monitored, more often the NDWR staff who measure water levels recommend an additional site or staff in the office recommend alternate sites. The Chief of the Hydrology Section will review the recommendations and make a final decision on adding/changing a site. This dataset is updated every business day from a non-spatial SQL Server database using lat/long coordinates to display location. This feature class participates in a relationship class with a groundwater measure table joined using the sitename field. This dataset contains both active and inactive sites. Measurement data is provided by reporting agencies and by regular site visits from NDWR staff. For website access, please see the Water Levels site at water.nv.gov/WaterLevelData.aspx

  7. d

    Groundwater Well Data Viewer

    • catalog.data.gov
    • data.kingcounty.gov
    • +1more
    Updated Jun 29, 2025
    + more versions
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    data.kingcounty.gov (2025). Groundwater Well Data Viewer [Dataset]. https://catalog.data.gov/dataset/groundwater-well-data-viewer
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.kingcounty.gov
    Description

    The King County Groundwater Protection Program maintains a database of groundwater wells, water quality and water level sampling data. Users may search the database using Quick or Advanced Search OR use King County Groundwater iMap map set. The viewer provides a searchable map interface for locating groundwater well data.

  8. d

    Global Groundwater Levels

    • search.dataone.org
    • beta.hydroshare.org
    • +1more
    Updated Dec 30, 2023
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    Scott Jasechko (2023). Global Groundwater Levels [Dataset]. https://search.dataone.org/view/sha256:7333f0c5b5e8d407f19bb8d13e4584e1f42600480eec5df37bc11c0d8348b060
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    Hydroshare
    Authors
    Scott Jasechko
    Time period covered
    Jan 1, 1801 - Dec 31, 2022
    Area covered
    Description
    • Global Groundwater Levels - Annual groundwater level data described in the following publication: Jasechko, S. Seybold, H.S., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, doi.org/10.1038/s41586-023-06879-8 (2024). Annual groundwater level data are available in cases where we have received permission from a database manager to post annual groundwater level data. These two .csv files contain annual groundwater level data for Afghanistan, Austria, Belgium, Brazil, Bulgaria, Canada (Alberta, British Columbia, Manitoba, Northwest Territories, Ontario, Prince Edward Island, Saskatchewan, Yukon), China, Croatia, Czech Republic, Denmark, France, Germany, Guam, Ireland, Israel, Italy, Latvia, Lithuania, New Zealand, Norway, Paraguay, Poland, Slovenia, Sweden, Switzerland, and the United States (Groundwater Ambient Monitoring and Assessment Program, US Geological Survey's (USGS) National Water Information System, and the Texas Water Development Board).

    File 1 of 2 entitled "AnnualDepthToGroundwater.csv" "StnID" - unique number for the monitoring well "Lat" - latitude of the monitoring well (in some cases this may be an approximation) "Lon" - latitude of the monitoring well (in some cases this may be an approximation) "IntegerYear" - calendar year "DepthToWater_m" - annual median depth to groundwater (units of metres below reference point and/or groundwater surface)

    File 2 of 2 entitled "AnnualGroundwaterElevation.csv" "StnID" - unique number for the monitoring well "Lat" - latitude of the monitoring well (in some cases this may be an approximation) "Lon" - latitude of the monitoring well (in some cases this may be an approximation) "IntegerYear" - calendar year "GroundwaterElevation_masl" - annual median groundwater elevation (units of metres above sea level)

    This material is based on work supported by the National Science Foundation under grant nos. EAR-2048227 and EAR-2234213. This research was supported by funding from the Zegar Family Foundation. This material is based on work supported by the U.S. Geological Survey (USGS) through the California Institute for Water Resources (CIWR) under grant/cooperative agreement no. G21AP10611-00. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the USGS/CIWR. Mention of trade names or commercial products does not constitute their endorsement by the USGS/CIWR. R.G.T. acknowledges the support of a fellowship (ref. 7040464) from the Canadian Institute for Advanced Research under the Earth 4D programme. S.J. acknowledges the Jack and Laura Dangermond Preserve (https://doi.org/10.25497/D7159W ), the Point Conception Institute and the Nature Conservancy for their support of this research.

    For a related database of global aquifer system boundaries see: https://www.hydroshare.org/resource/73834f47b8b5459a8db4c999e6e3fef6/

  9. Periodic Groundwater Level Measurements

    • data.cnra.ca.gov
    • data.ca.gov
    • +1more
    csv, txt, zip
    Updated Sep 1, 2025
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    California Department of Water Resources (2025). Periodic Groundwater Level Measurements [Dataset]. https://data.cnra.ca.gov/dataset/periodic-groundwater-level-measurements
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    csv(1333725803), zip(65921180), csv(414367), csv(8254287), txt(2032)Available download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The DWR Periodic Groundwater Levels dataset contains seasonal and long-term groundwater level measurements collected by the Department of Water Resources and cooperating agencies in groundwater basins statewide. It also includes data collected through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM), and the CASGEM (California Statewide Groundwater Elevation Monitoring) Program. Most measurements are taken manually twice per year to capture the peak high and low values in groundwater elevations. However, the dataset also includes measurements recorded more frequently, monthly, weekly, or daily. This resource also included daily measurements from DWR's automated monitoring network of groundwater sites. For DWRs holdings of groundwater level measurements recorded at more frequent intervals (e.g., hourly), please refer to DWR's “Continuous Groundwater Level Measurements” dataset.

    For additional information regarding DWR groundwater levels data collection please visit DWR's Groundwater Management website (https://www.water.ca.gov/Programs/Groundwater-Management). The source data can also be accessed directly from two websites. The Water Data Library (http://wdl.water.ca.gov) provides anonymous access to this and other data sets. The CASGEM online system (https://www.casgem.water.ca.gov/OSS) provides authenticated access to only the the periodic groundwater measurements.

    This dataset is maintained primarily in the DWR Enterprise Water Management database and contains information specific to the location of groundwater level monitoring wells and groundwater level measurements collected at these wells. The Stations resource identifies well location coordinates and other supplementary items about the well type. Measurements resources includes information about the time/date a measurement was collected, the entity collecting the measurement, a measurement indicating the depth to groundwater, and quality information about the measurement. The Well Perforations resources contains well construction information identifying the well's screened intervals (not available for all wells).

  10. w

    NSW Groundwater Database (Water Data Transfer Format and Hydstra)

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    zip
    Updated Sep 28, 2017
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    Bioregional Assessment Programme (2017). NSW Groundwater Database (Water Data Transfer Format and Hydstra) [Dataset]. https://data.wu.ac.at/schema/data_gov_au/ZWY1N2UzZWItNzdjZC00NjM1LTk4ZDMtZDc4OWFjZTRlOTNj
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    zip(77719273.0)Available download formats
    Dataset updated
    Sep 28, 2017
    Dataset provided by
    Bioregional Assessment Programme
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    New South Wales
    Description

    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.

    Hydstra Water Levels 9-6-12

    The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

    The Hydstra database stores groundwater level information from ~ 11,800 bores. This includes the NSW monitoring network of bores and private bores (eg. Stock bores with a water level reading).

    Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

    The Hydstra data should only be used for bores that are not included in the WDTF.

    Of the 4000 extra bores in hydstra, many water level readings have been taken at the time of drilling and many are once off readings. These data have not been validated.

    Any information obtained from the Hydstra data should be assessed for its quality prior to inclusion in a Bioregional Assessment.

    There is no data dictionary that came with the hydstra data. Groundwater levels are variable 110.

    Variable 110 = Depth to groundwater from the measurement point. The measurement point can then be derived from the NGIS which will have an elevation Field = TSRefElev.

    Wdtf NoW 19-11-12

    Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

    WDTF was provided for ~7,800 monitoring bores across NSW. This data was extracted from the original WDTF using python scripts, into the MS Access database.

    Site information on the bores has not been included as this data is available from the NoW NGIS. The NGIS has been quality checked and should be used for all site data.

    The WDTF is provided to the Bureau by NoW as "Validated" data. Therefore, WDTF should be used as the primary source for groundwater level data.

    Dataset History

    Hydstra Water Levels 9-6-12

    The Hydstra data for NSW Office of Water (NoW) was extracted on 9 June 2012 from the NSW corporate groundwater database although the latest water level reading date is April 2012. The Hydstra groundwater database was provided by NoW and was imported into MS Access from the HYDMEAS database file (dbf).

    Wdtf NoW 19-11-12

    Through the Water Regulations, a full extract of NSW monitoring data was provided in WDTF in November 2012, although the latest water level reading date is September 2012.

    Dataset Citation

    NSW Office of Water (2012) NSW Groundwater Database (Water Data Transfer Format and Hydstra). Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/75390050-09da-46ad-b342-dbc98982aafd.

  11. w

    International Groundwater Resources Assessment Centre - Dataset - waterdata

    • wbwaterdata.org
    • waterdata3.staging.derilinx.com
    Updated Jul 12, 2020
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    (2020). International Groundwater Resources Assessment Centre - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/international-groundwater-resources-assessment-centre
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    Dataset updated
    Jul 12, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Global Groundwater Information System (GGIS) is an interactive, web-based portal to groundwater-related information and knowledge. The GGIS consists of several modules structured around various themes. Each module has its own map-based viewer with underlying database to allow storing and visualizing geospatial data in a systematic way. Data sets include global data on transboundary aquifers, global groundwater data by aquifer, and country disaggregation, global groundwater stress (based on GRACE data), global groundwater quality data. There is also specific regional/national data focusing on the following aquifers: Dinaric Karst (Balkans), Ramotswa and Stampriet aquifers (Southern Africa), Esquipulas-Ocotepeque-Citala (Central Amerca), Pretashkent Aquifer (Central Asia). It also provides access to SADC Groundwater Information Portal, and groundwater on Small Island States

  12. d

    Global Aquifer Database

    • search.dataone.org
    • hydroshare.org
    Updated Dec 30, 2023
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    Scott Jasechko (2023). Global Aquifer Database [Dataset]. https://search.dataone.org/view/sha256%3A3ba51421f2e9e4cbd33cf5414c5b89bc89ebbc0e482253830688ccf0c5bf4a19
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    Hydroshare
    Authors
    Scott Jasechko
    Area covered
    Description
    • Global Aquifer Database - Consulted literature sources and steps applied to delineate groundwater aquifer boundaries are described in the following publications: (i) Jasechko, S. Seybold, H.S., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, https://doi.org/10.1038/s41586-023-06879-8 (2024). and/or (ii) GebreEgziabher, M., Jasechko, S., Perrone, D. (2022). Widespread and increased drilling of wells into fossil aquifers in the USA. Nature Communications 13, 2129 https://doi.org/10.1038/s41467-022-29678-7 (2022).

    This material is based on work supported by the National Science Foundation under grant nos. EAR-2048227 and EAR-2234213. This research was supported by funding from the Zegar Family Foundation. This material is based on work supported by the U.S. Geological Survey (USGS) through the California Institute for Water Resources (CIWR) under grant/cooperative agreement no. G21AP10611-00. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the USGS/CIWR. Mention of trade names or commercial products does not constitute their endorsement by the USGS/CIWR. R.G.T. acknowledges the support of a fellowship (ref. 7040464) from the Canadian Institute for Advanced Research under the Earth 4D programme. S.J. acknowledges the Jack and Laura Dangermond Preserve (https://doi.org/10.25497/D7159W ), the Point Conception Institute and the Nature Conservancy for their support of this research.

    For a related database of global groundwater levels see: https://www.hydroshare.org/resource/da946dee3ada4a67860d057134916553/

  13. a

    Groundwater Level Data: All Historic Data

    • data-idwr.hub.arcgis.com
    Updated Jul 18, 2022
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    Idaho Department of Water Resources (2022). Groundwater Level Data: All Historic Data [Dataset]. https://data-idwr.hub.arcgis.com/documents/f1a190a2077c4b7da87b9cc19d0a316e
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    Dataset updated
    Jul 18, 2022
    Dataset authored and provided by
    Idaho Department of Water Resources
    Description

    IDWR maintains a groundwater level database containing data primarily collected by IDWR, but also includes data gathered by the USGS, USBR, and other public and private entities. Please reach out to these other entities to obtain their full complete record, as not all values are present in this database (IDWR can provide a full list of data contributors upon request). IDWR staff manually measure the "depth to water" in wells throughout Idaho. Pressure transducers in many wells provide near-continuous water level measurements. IDWR strives to create complete and accurate data and may revise these data when indicated.

    “Groundwater Level Data: All Historic Data” includes all well data managed in IDWR’s internal database, regardless of current well status. For example, historic data from discontinued, abandoned, or inactive wells are contained in this dataset. IDWR’s water level data are also hosted in the Groundwater Data Portal (https://idwr-groundwater-data.idaho.gov/), which displays only actively monitored wells.

    The three files included in this download are 1) discrete (manual) depth to water measurements 2) continuous* (pressure transducer) depth to water measurements, and 3) the associated well metadata.

    *The continuous measurements data have been condensed to display only the shallowest daily pressure transducer measurements. Complete datasets are available upon request.

  14. N

    EBID Groundwater Data

    • catalog.newmexicowaterdata.org
    html
    Updated Oct 23, 2023
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    Elephant Butte Irrigation District (2023). EBID Groundwater Data [Dataset]. https://catalog.newmexicowaterdata.org/dataset/ebid-groundwater-data
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    htmlAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    Elephant Butte Irrigation District
    Description

    Groundwater quality and quantity monitoring sites in the Elephant Butte Irrigation District.

  15. California's Groundwater Live Supporting Data

    • data.cnra.ca.gov
    • data.ca.gov
    • +4more
    docx, html, jpeg, mp4 +2
    Updated Aug 27, 2025
    + more versions
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    California Department of Water Resources (2025). California's Groundwater Live Supporting Data [Dataset]. https://data.cnra.ca.gov/dataset/calgw-live
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    jpeg(3067009), mp4(183698), pdf(724979), jpeg(1185629), html, zip(7468), docx(211714)Available download formats
    Dataset updated
    Aug 27, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Area covered
    California
    Description

    This dataset contains files and materials in support of the California's Groundwater Live website. California's Groundwater Live is a user-friendly platform that allows users to view and interact with the latest information on groundwater in California. California's Groundwater Live website can be found at: https://sgma.water.ca.gov/CalGWLive/.

  16. a

    Groundwater Quality Data (EDMS)

    • data-idwr.hub.arcgis.com
    • gis-idaho.hub.arcgis.com
    • +1more
    Updated Jul 18, 2022
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    Idaho Department of Water Resources (2022). Groundwater Quality Data (EDMS) [Dataset]. https://data-idwr.hub.arcgis.com/documents/bac473ea4cb64aecb7a6d229ebd5e1d2
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    Dataset updated
    Jul 18, 2022
    Dataset authored and provided by
    Idaho Department of Water Resources
    Description

    This download was updated on Aug. 4, 2025. The Groundwater Quality Protection Act of 1989 provided for development of the EDMS to manage groundwater quality data. In 1992, the Groundwater Quality Council completed Idaho's Groundwater Quality Plan. Policy V-E of the plan addresses the creation of the Environmental Data Management system and states: "All data that reside in the publicly funded Environmental [Data] Management System will be accessible to the general public consistent with the requirements of the Idaho Public Records Act.The Idaho Groundwater Protection Interagency Cooperative Agreement of 2008 establishes EDMS as the repository for groundwater quality data to facilitate cooperative groundwater protection programs among multiple state agencies to be managed by IDWR. EDMS data can be viewed in a web mapping application available from the Idaho Department of Water Resources (IDWR) website.The following Idaho agencies are contributors to EDMS:Agency AbbreviationAgency NameAgency LinkISDAIdaho Dept of Agriculturehttp://www.agri.idaho.gov/IDEQIdaho Dept of Environmental Qualityhttp://www.deq.idaho.gov/IDWRIdaho Dept of Water Resourceshttps://idwr.idaho.gov/INLIDEQ Idaho National Laboratory Oversighthttp://www.deq.idaho.gov/inl-oversight.aspx Some data stored in the EDMS system may not be sufficient for research depending on lab methodologies and/or field sampling techniques. To obtain additional sample details, please contact the contributing agency directly.

  17. Continuous Groundwater Level Measurements

    • data.cnra.ca.gov
    • data.ca.gov
    • +1more
    csv
    Updated Aug 31, 2025
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    California Department of Water Resources (2025). Continuous Groundwater Level Measurements [Dataset]. https://data.cnra.ca.gov/dataset/continuous-groundwater-level-measurements
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    csv(162091363), csv(191869), csv(5230043), csv(1699)Available download formats
    Dataset updated
    Aug 31, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    DWR continuous groundwater level measurements contains continuous time-series data from automated recorders at sites operated by the Department of Water Resources. Readings are taken at 15-minute to one-hour intervals. Some of the readings are relayed to the California Data Exchange Center. However, most of the monitoring sites are visited once every month or two, when readings are off-loaded from data recorders, then finalized and published. Wells monitored for this dataset are located within Butte, Colusa, Glenn, Mendocino, Modoc, Sacramento, San Joaquin, Shasta, Siskiyou, Solano, Sutter, Tehama, Yolo, and Yuba Counties.

    Water-level measurements are the principal source of information about changes in groundwater storage and movement in a basin, and how these are affected by various forms of recharge (e.g., precipitation, seepage from streams, irrigation return) and discharge (e.g., seepage to streams, groundwater pumping).

    Water-level monitoring involves "continuous" or periodic measurements. Continuous monitoring makes use of automatic water-level sensing and recording instruments that are programmed to make scheduled measurements in wells. This provides a high-resolution record of water-level fluctuations. Resulting hydrographs can accurately identify the effects of various stresses on the aquifer system and provide measurements of maximum and minimum water levels in aquifers. Continuous monitoring may be the best technique to use for monitoring fluctuations in groundwater levels during droughts and other critical periods when hydraulic stresses may change at relatively rapid rates, or when real-time data are needed for making water management decisions see usgs reference.

  18. v

    Idaho Groundwater Quality Dataset [Relational Database Table:...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Idaho Groundwater Quality Dataset [Relational Database Table: MonitoringLocation] [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/idaho-groundwater-quality-dataset-relational-database-table-monitoringlocation
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Description

    This dataset is a compilation of data obtained from the Idaho Department of Water Quality, the Idaho Department of Water Resources, and the Water Quality Portal. The 'MonitoringLocation' table stores attribute data for groundwater wells. This table is related to the 'SiteID' table (which lists the variety of names given to each well by different organizations) and the 'Samples' table (which shows each sample associated with a particular well).

  19. A Groundwater Wells Database for Brazil (GWDBrazil)

    • zenodo.org
    bin, txt
    Updated Aug 6, 2025
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    José Gescilam Uchôa; José Gescilam Uchôa; Paulo Tarso Oliveira; Paulo Tarso Oliveira; André Ballarin; André Ballarin; Didier Gastmans; Didier Gastmans; Jamil Anache; Jamil Anache; Bridget Scanlon; Bridget Scanlon; Clyvihk Camacho; Clyvihk Camacho; Valmor Freddo Filho; Edson Wendland; Edson Wendland; Valmor Freddo Filho (2025). A Groundwater Wells Database for Brazil (GWDBrazil) [Dataset]. http://doi.org/10.5281/zenodo.16755455
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    bin, txtAvailable download formats
    Dataset updated
    Aug 6, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    José Gescilam Uchôa; José Gescilam Uchôa; Paulo Tarso Oliveira; Paulo Tarso Oliveira; André Ballarin; André Ballarin; Didier Gastmans; Didier Gastmans; Jamil Anache; Jamil Anache; Bridget Scanlon; Bridget Scanlon; Clyvihk Camacho; Clyvihk Camacho; Valmor Freddo Filho; Edson Wendland; Edson Wendland; Valmor Freddo Filho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description
    TITLE:
    A Groundwater Well Database for Brazil (GWDBrazil)
    ABSTRACT:
    Sufficient spatiotemporal in-situ groundwater-level measurements are essential for sustainable water management. Despite their importance, lack of harmonized, quality-controlled datasets has hindered large-scale groundwater studies in Brazil. In collaboration with the Geological Survey of Brazil, we present the Groundwater Wells Database for Brazil (GWDBrazil), which consolidates and standardizes information from over 351,000 wells, with records dating from 1900 to 2024, including about 450 wells with continuous daily monitoring from 2010 to 2024. Cross-verification steps were applied to ensure data accuracy. GWDBrazil is available in both tabular form and vector points, comprising information such as location, well depth, and well purpose. The dataset also provides data to support integrated surface and groundwater management, such the distance from each well to the nearest river and aquifer information. This dataset is intended to serve as a valuable resource for researchers, decision-makers, and stakeholders, providing essential information to support comprehensive water management strategies in Brazil.
    FOLDER STRUCTURE:
    The dataset is organized into four main folders:
    1. data - This folder contains the processed products derived from the study A Groundwater Well Database for Brazil (GWDBrazil).
    1.1 csv - Tabular Data.
    1.1.1 SIAGAS_data.csv - Final SIAGAS dataset.
    1.1.2 SIAGAS_data_flagged.csv - Final SIAGAS dataset with flagged data.
    1.1.3 Additional_data.csv - Supplementary data for surface water and groundwater interaction studies.
    1.1.4 RIMAS_data_flagged - Final RIMAS dataset with error and outlier flags.
    1.1.4.1 Rimas_IdWell.csv - Overview of the number of data available in the final RIMAS dataset.
    1.1.4.2 Rimas_IdWell.csv - Final RIMAS dataset where each CSV represents a single well. Note: Some RIMAS wells may contain data prior to 2010 as they were used in previous SGB projects.
    1.2 netCDF - Includes data from continuous groundwater level monitoring wells (2010 - 2024) in netCDF format.
    1.2.1 rimas_groundwater_levels.nc - NetCDF equivalent of the RIMAS_data_flagged folder, excluding data with potential errors. The file is not in a regular grid format.
    1.2.2 rimas_groundwater_levels.csv - CSV file with all data from the RIMAS_data_flagged folder, excluding data with potential errors.
    1.2.3 rimas_groundwater_atts.csv - File with the locations (latitude and longitude) of the data in the RIMAS_data_flagged folder.
    1.3 shapefile - Shapefile Data.
    1.3.1 SIAGAS_data.shp - Shapefile equivalent of SIAGAS_data.csv
    1.3.2 SIAGAS_data_flagged.shp - Shapefile equivalent of SIAGAS_data_flagged.csv
    1.3.3 Additional_data.shp - Shapefile equivalent of Additional_data.csv
    2. raw_data - This folder contains the original datasets extracted from Geological Survey of Brazil projects.
    2.1 RIMAS - Data from the Integrated Groundwater Monitoring Network Project (RIMAS – in Portuguese: Rede Integrada de Monitoramento das Águas Subterrâneas; SGB, 2024a)
    2.1.1 groundwater_level_monitoring - Groundwater data timeseries.
    2.1.1.1 RimasWeb_Exportacao_Dados_Nivel_Dagua_IdWell.csv - Each CSV represents a unique well.
    2.1.2 hydrochemical_monitoring - Hydrogeochemical data.
    2.1.2.1 RimasWeb_Exportacao_Dados_Analise_Quimica_IdWell.csv - Each CSV represents a unique well.
    2.2 SIAGAS - Data from the Groundwater Information System (SIAGAS – in Portuguese: Sistema de Informações de Águas Subterrâneas; SGB, 2024b).
    2.2.1 PT_amostra-fisico-quimica_EN_water_quality_data_physicochemical_analysis.csv - Water quality data.
    2.2.2 PT_aquifero_EN_aquifer_data.csv - Aquifer-related data.
    2.2.3 PT_dados_construtivos_EN_drilling_data.csv - Well construction data.
    2.2.4 PT_dados_gerais_EN_general_data.csv - General well information.
    2.2.5 PT_dados_hidraulicos_EN_pumping_data.csv - Pumping test data.
    2.2.6 PT_litologia_EN_lithological_data.csv - Lithological well data.
    3. supplementary_tables.
    3.1 Table_S1-Definitions_of_attributes_in_SIAGAS_dataset - Definition of attributes from the SIAGAS project by the Geological Survey of Brazil.
    3.2 Table_S2-Translation_of_terms_used_by_SGB(in Portuguese)_into_internationally_used_terms.xlsx - Translation of SIAGAS terms from Portuguese to internationally recognized terms.
    3.3 Table_S3-Overlaid_Aquifers_and_Aquifer_Confinement.xlsx - Summary of aquifer layers per record and their confinement status based on raw data from the SIAGAS project.
    3.4 Table_S4-No_well_records_step_quality_control.xlsx - Summary of the 9,655 records classified as non-wells that were removed during the quality control step.
    3.5 Table_S5-Duplicate_records_step_quality_control.xlsx - Summary of the 4,711 records classified as duplicates that were removed during the quality control step.
    3.6 Table_S6-Records_whitout_any_data_step_quality_control.xlsx - Summary of the 5,814 records removed during the quality control step due to the absence of any data indicating when they were drilled.
    3.7 Table_S8-RIMAS_wells_step_quality_control.xlsx - Overview of the data from 453 RIMAS wells.
    4. codes - This folder contains the main codes used for this study.
    Note: Some steps in this workflow were performed manually with support from members of the Brazilian Geological Survey. Nonetheless, the methodology is reproducible using the procedures detailed in the accompanying paper.
    4.1 merge_and_standardization.R - Merges and standardizes the data.
    4.2 check_aquifer_data.R - Verifies aquifer data in the database.
    4.3 check_lithological_and_water_quality_data.R - Verifies lithological and water quality data in the database.
    4.4 check_gw_data_RIMAS - Verifies water level data in the RIMAS dataset.
    4.5 check_hydrochemical_data_RIMAS - Verifies hydrochemical data in the RIMAS dataset.
    4.6 figures_and_analysis - Generates the main analyses and figures in the paper.
    4.7 csv_to_NetCDF.ipynb - Jupyter Notebook (Python) to convert csv RIMAS data to NetCDF format. The output NetCDF file is not in a regular grid.
    4.8 test_NetCDFfile.R - Tests the NetCDF files generated in this study.
    USAGE NOTE:
    The GWDBrazil dataset has wide-ranging applications. Users are strongly encouraged to read the accompanying paper A Groundwater Well Database for Brazil (GWDBrazil) before using the data. This will help understand the criteria used for data refinement and its limitations.
    Users should critically evaluate the level of detail and accuracy required for their specific applications. While extensive quality control has been applied in collaboration with the Geological Survey of Brazil, additional regional and local validation may be necessary for specific studies.
    CONTACT:
    For any questions or recommendations, please contact:
    Lead Author: J.G.S.M.U (gescilam@usp.br)
    Corresponding Author: P.T.S.O (paulotarsoms@gmail.com)
    CITATION:
    If you use this dataset, please cite it as follows:
    Uchôa, J.G.S.M., Oliveira, P.T.S., Ballarin, A.S., Gastmans, A., Anache, J.A.A., Scanlon, B.R.S., Camanho, C.R.C., Filho, V.J.F. & Wendland, E.C. A groundwater well database for Brazil (GWDBrazil) (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15098047
    LICENSE:
    This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License. You are free to share and adapt the material as long as appropriate credit is given.
    We recommend checking this README regularly for updates.
    REFERENCES:
    SGB - Geological Survey of Brazil [Serviço Geológico do Brasil]. (2024a). Projeto Rede Integrada de Monitoramento das Águas Subterrâneas. Retrieved from https://rimasweb.sgb.gov.br/layout/apresentacao.php. Last acess: 07/30/2024.
    SGB - Geological Survey of Brazil [Serviço Geológico do Brasil]. (2024b). Sistema de Informações de Águas Subterrâneas. Retrieved from https://siagasweb.sgb.gov.br/layout/apresentacao.php. Last acess: 07/30/2024.
  20. National Groundwater Information System

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated Oct 17, 2014
    + more versions
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    Bureau of Meteorology (2014). National Groundwater Information System [Dataset]. https://researchdata.edu.au/national-groundwater-information-system/2999809
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    Dataset updated
    Oct 17, 2014
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Bureau of Meteorology
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    The National Groundwater Information System (NGIS) is a spatial database for GIS specialists that contains a range of groundwater information submitted by States and Territories. The System contains more than 850 000 bore locations with associated lithology logs, bore construction logs and hydrostratigraphy logs. 2D and 3D aquifer geometries are also available for some areas. Jurisdictional groundwater management area boundaries are the most recent addition to the System. \r \r Bores, bore log and groundwater management area information from the System can be accessed and visualised using the Australian Groundwater Explorer , without using desktop GIS software. The Explorer also includes data not contained in the National Groundwater Information System, such as groundwater level and salinity time-series data. Landscape characteristic spatial layers, such as geology, land use and river regions can also be displayed to provide context to the groundwater data. \r \r Hydrogeologic units within the System have been standardised for national consistency using the National Aquifer Framework. Version 1.3 uses the NGIS Version 2.3 data model and was released in August 2015.

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(2023). Groundwater Database - Texas Water Data Hub [Dataset]. https://txwaterdatahub.org/dataset/groundwater-database

Groundwater Database - Texas Water Data Hub

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Dataset updated
Sep 4, 2023
Description

The Texas Water Development Board (TWDB) Groundwater Database (GWDB) contains information on selected water wells, springs, oil/gas tests (that were originally intended to be or were converted to water wells), water levels, and water quality to gain representative information about aquifers in Texas to support water planning from a local to a more regional perspective. This is a scientific database, not a registry of every well drilled in the state.

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