5 datasets found
  1. WDNR Surface Water Data Viewer

    • hub.arcgis.com
    Updated Oct 2, 2019
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    Walworth County ArcGIS Online (2019). WDNR Surface Water Data Viewer [Dataset]. https://hub.arcgis.com/datasets/walco::wdnr-surface-water-data-viewer
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    Dataset updated
    Oct 2, 2019
    Dataset provided by
    https://arcgis.com/
    Authors
    Walworth County ArcGIS Online
    Description

    The Surface Water Data Viewer (SWDV) is a DNR data delivery system that provides interactive web mapping tools for a wide variety of datasets including chemistry (water, sediment), physical and biological (macro-invertebrate, fish) data.Contact information for help with the Surface Water Data Viewer, email:DNRSWDV@wisconsin.gov

  2. EM PFAS - Surface Water and Fish Tissue Sampling

    • data-wi-dnr.opendata.arcgis.com
    Updated Oct 5, 2022
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    Wisconsin Department of Natural Resources (2022). EM PFAS - Surface Water and Fish Tissue Sampling [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/em-pfas-surface-water-and-fish-tissue-sampling/about
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    Dataset updated
    Oct 5, 2022
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    This layer is intended for use in the Wisconsin PFAS Interactive Data Viewer GIS mapping application, use for any other purpose should be done with caution to avoid misuse or misinterpretation of information contained in this layer. Please seek appropriate DNR staff support.This layer has been created specifically to display monitoring locations and results from Wisconsin DNR PFAS surface water and fish tissue samples. The results are used to help develop a baseline of PFAS contamination within the state, help to identify action areas and provide the necessary data for appropriate responses.For more information, please visit the DNR's Surface Water and Fish Tissue PFAS Sampling website.

  3. a

    IN DNR Water Well Records

    • data-indnr.hub.arcgis.com
    Updated Nov 12, 2014
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    InDNRMaps (2014). IN DNR Water Well Records [Dataset]. https://data-indnr.hub.arcgis.com/datasets/in-dnr-water-well-records/geoservice
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    Dataset updated
    Nov 12, 2014
    Dataset authored and provided by
    InDNRMaps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Located water well records (which include UTM coordinates) and unlocated water well records (without known UTM coordinates). The estimated locations used for the unlocated wells were based on the polygon centroid values for the smallest indicated section, quarter, quarter-quarter, or quarter-quarter-quarter section (as indicated in the database) for over 250,000 water well records and for about 26,000 of the 250,000 water well records the UTM's were obtained from address geocoding using the owners address, a generally more accurate method. These data were last updated June 2019.This layer is included in the DNR Water Well Viewer webmap application. For more information, please visit the DNR Division of Water's Ground Water/Wells website.DATA DISCLAIMER: This service, including its underlying data, is distributed “AS-IS” without warranties of any kind, either expressed or implied, including but not limited to warranties of suitability of a particular purpose or use. The data are graphical representations and are for reference purposes only. They are not to be construed as a legal document or survey instrument. The Department of Natural Resources assumes no liability. A detailed on-the-ground survey and historical analysis of individual features may differ from these data. Credit should be given to the Indiana Department of Natural Resources.

  4. e

    Minneapolis-St. Paul Metro Area Lakes Surface Water Quality Characteristics

    • portal.edirepository.org
    • researchonline.stthomas.edu
    csv
    Updated Jul 17, 2025
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    Catherine Polik; Grace Neumiller; Gaston Small; Jacques Finlay (2025). Minneapolis-St. Paul Metro Area Lakes Surface Water Quality Characteristics [Dataset]. http://doi.org/10.6073/pasta/6ca2613b9bd553ff5cee1441d7c83452
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    csv(23960997 byte)Available download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    EDI
    Authors
    Catherine Polik; Grace Neumiller; Gaston Small; Jacques Finlay
    Time period covered
    May 24, 1938 - Dec 20, 2023
    Area covered
    Variables measured
    DOW, gtlt, county, result, parameter, dataSource, sampleDate
    Description

    Urban lakes are heavily impacted by human activities and climate variability, and they provide many ecosystem services to residents. The MSP LTER program is studying long term changes in urban lake water quality, ecology and management as part of our long term studies of urban environments. The goal of this dataset is to understand how land-use change, management, and climate have impacted urban lake biogeochemistry over time. This dataset includes parameters characterizing the long term (> 5 years) surface water quality and chemistry of 294 lakes and ponds in the Minneapolis-Saint Paul Seven County Metropolitan Area, Minnesota, USA. The dataset draws from data publicly available through the Minnesota Pollution Control Agency and data provided by individual agencies, park districts and cities. The dataset is distinct from other lake datasets because it is curated to only report a single value per lake x date x parameter, minimizing the amount of data manipulation needed before use in statistical analyses. All data come from the top two meters of the water column. In the case of multiple spatial measurements on a single lake or multiple agencies sampling the same lake on the same day, chemistry data were averaged to generate a single value. For Secchi data, the deepest reported observation on a given lake x date was used. Parameters: total phosphorus, total nitrogen, total Kjeldahl nitrogen, nitrate, nitrite, nitrate + nitrite (NOx), ammonium, chlorophyll a (corrected and not corrected for pheophytin), specific conductivity, chloride, and Secchi depth. These waterbodies are identified by their DNR Division of Water (DOW) number with minor alterations for subbasin identification. This dataset does not comprehensively represent all lentic waterbodies that have substantial water quality data in the metro area, and some included waterbodies may be considered wetlands according to state classifications. The data brought together in this database has undergone QAQC by the organizations that originally collected it, as well as a screening process during data harmonization. While we believe that the resulting dataset is robust, we cannot guarantee that it is free of errors or inaccuracies.

  5. a

    PW PFAS Study Well Sections

    • hub.arcgis.com
    • data-wi-dnr.opendata.arcgis.com
    Updated Aug 3, 2023
    + more versions
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    Wisconsin Department of Natural Resources (2023). PW PFAS Study Well Sections [Dataset]. https://hub.arcgis.com/datasets/4263fb5c55b742578542561e2589d03f
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    Dataset updated
    Aug 3, 2023
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Sample results from Wisconsin DNR’s Private Well PFAS Study: “Prevalence and Source Tracing of PFAS in Shallow Groundwater Used for Drinking Water in Wisconsin”, Environmental Science & Technology.Per- and polyfluoroalkyl substances (PFAS) and other water quality parameter results from samples collected from 450 homes with shallow private wells throughout Wisconsin. The samples were analyzed for 44 PFAS, major ions, metals, total organic carbon, and indicators of human waste as well as agricultural influence. More information about the study can be found at https://dnr.wisconsin.gov/topic/Groundwater/PFASStudy.html.About the GIS datasetThis feature layer contains a polygon (PW_PFAS_Study_Well_Sections) for each feature which represents the section in which the private well sample was taken along with the table (PW_PFAS_Study_Sample_Data) with the sample results for each private well. Viewing the data using ArcGIS OnlineTo view the data using ArcGIS Online it is best to view using Map Viewer Classic due to the relationship class between the section and the sample results. The relationship class is based on the Wisconsin Unique Well Number (WUWN). Alternate GIS formatDownload the File Geodatabase, located here.

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Walworth County ArcGIS Online (2019). WDNR Surface Water Data Viewer [Dataset]. https://hub.arcgis.com/datasets/walco::wdnr-surface-water-data-viewer
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WDNR Surface Water Data Viewer

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 2, 2019
Dataset provided by
https://arcgis.com/
Authors
Walworth County ArcGIS Online
Description

The Surface Water Data Viewer (SWDV) is a DNR data delivery system that provides interactive web mapping tools for a wide variety of datasets including chemistry (water, sediment), physical and biological (macro-invertebrate, fish) data.Contact information for help with the Surface Water Data Viewer, email:DNRSWDV@wisconsin.gov

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