Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Blank results for trace-element data collected for the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project, October 2009–October 2018

Metadata Updated: October 28, 2023

Groundwater samples have been collected in California as part of statewide investigations of groundwater quality conducted by the U.S. Geological Survey for the Groundwater Ambient Monitoring and Assessment (GAMA) Priority Basin Project (PBP). Quality-control samples are routinely collected as part of the GAMA-PBP quality assurance plan. Olsen and others (2010) and Davis and others (2014) previously determined study reporting levels (SRLs) for trace-element results based primarily on field blanks collected in California from May 2004 through March 2013. SRLs are raised reporting levels used to reduce the likelihood of reporting false detections attributable to contamination bias. Davis and others (2014) reevaluated SRLs defined by Olsen and others (2010) by looking for changes in the pattern or magnitude of field blank detections following the implementation of SRLs by Olsen and others (2010). Based on a consistent pattern of decreasing cobalt and manganese concentrations in field blanks from 2009 to 2013 the GAMA-PBP decided to reevaluate all trace element study reporting levels (SRLs) defined by Davis and others (2014). Trace element data from 167 field blanks, 19 source-solution blanks, and 8 equipment blanks collected from October 2009 through October 2018 by the GAMA-PBP were compiled as part of the reevaluation and are presented here. The results of the effort to update the SRLs previously defined by Davis and others (2014) are presented here: Bennett, G.L. V, 2020, Updated study reporting levels (SRLs) for trace-element data collected for the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priortiy Basin Project, October 2009–October 2018: U.S. Geological Survey Scientific Investigations Report 2020–5034, 24 p., https://doi.org/ 10.3133/ sir20205034.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/ef21b25065aad8c94a30c209abc17064
Identifier USGS:5d2cf123e4b038fabe22cfe6
Data Last Modified 20200812
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 7e903247-c538-4803-a128-8bd8d166f4c0
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -124.39,32.53,-114.12,42.0
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b101e87b85deb90651cc37f1792ddf2e9cc0c624255a71ff5099b8b671b5f36c
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -124.39, 32.53, -124.39, 42.0, -114.12, 42.0, -114.12, 32.53, -124.39, 32.53}

Didn't find what you're looking for? Suggest a dataset here.