Great Lakes Network 2006-2023 Inland Lakes Water Quality Monitoring Data as of 2024-04-19

Description

This data package was created 2024-10-17 15:12:07 by NPSTORET and includes selected project, location, and result data.

Data contained in Great Lakes Network NPSTORET back-end file (GLKNLKWQ_NPSTORET_BE_2024_04_19_20240419_1142.ACCDB) were filtered to include:
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (exported as Final) or Final

The data package is organized into five data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations datatable
- Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results

Period of record for filtered data is 2006-05-02 to 2023-09-20. This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:
https://www.waterqualitydata.us/data/Result/search?project=GLKNLKWQ

Resources

Name Format Description Link
GLKNLKWQ_Six_Parks_Lake_WQ_2006-2023_DataPackage_Export_20241017_metadata.xml XML EML Metadata Open resource
HUC.csv CSV Enumeration of 8-digit and 12-digit HUC codes Open resource
Characteristics.csv CSV Enumeration of subset of characteristics in NPSTORET that are currently accepted by EQuIS and WQX Open resource
Projects.csv CSV Data describing the purpose and background of the monitoring effort Open resource
Locations.csv CSV Data documenting attributes of the monitoring locations/stations Open resource
Results.csv CSV Data documenting the field measurements, observations, and/or lab analyses Open resource

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