Input data for chloride-specific conductance regression models

This data set includes input data for the development of regression models to predict chloride from specific conductance (SC) data at 56 U. S. Geological Survey water quality monitoring stations in the eastern United States. Each site has 20 or more simultaneous observations of SC and chloride. Data were downloaded from the National Water Information System (NWIS) using the R package dataRetrieval. Datasets for each site were evaluated and outliers were removed prior to the development of the regression model. This file contains only the final input dataset for the regression models. Please refer to Moore and others (in review) for more details. Moore, J., R. Fanelli, and A. Sekellick. In review. High-frequency data reveal deicing salts drive elevated conductivity and chloride along with pervasive and frequent exceedances of the EPA aquatic life criteria for chloride in urban streams. Submitted to Environmental Science and Technology.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-5d824155e4b0c4f70d058e37
metadata_type geospatial
modified 2020-08-21T00:00:00Z
old-spatial -86.0010, 30.2211, -69.5215, 42.9725
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 01963bbbe34553c090513147cd59e1becd3cfd41543fcb771f17da0be8e84318
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-86.0010, 30.2211], [-86.0010, 42.9725], [ -69.5215, 42.9725], [ -69.5215, 30.2211], [-86.0010, 30.2211]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • chloride
  • conductivity
  • deicers
  • environment
  • road-salt
  • urbanization
  • usgs-5d824155e4b0c4f70d058e37
  • water-quality
isopen False
license_id notspecified
license_title License not specified
maintainer Rosemary M Fanelli
maintainer_email rfanelli@usgs.gov
metadata_created 2025-09-24T02:29:12.395012
metadata_modified 2025-09-24T02:29:12.395022
notes This data set includes input data for the development of regression models to predict chloride from specific conductance (SC) data at 56 U. S. Geological Survey water quality monitoring stations in the eastern United States. Each site has 20 or more simultaneous observations of SC and chloride. Data were downloaded from the National Water Information System (NWIS) using the R package dataRetrieval. Datasets for each site were evaluated and outliers were removed prior to the development of the regression model. This file contains only the final input dataset for the regression models. Please refer to Moore and others (in review) for more details. Moore, J., R. Fanelli, and A. Sekellick. In review. High-frequency data reveal deicing salts drive elevated conductivity and chloride along with pervasive and frequent exceedances of the EPA aquatic life criteria for chloride in urban streams. Submitted to Environmental Science and Technology.
num_resources 1
num_tags 16
title Input data for chloride-specific conductance regression models