Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas

This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).

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-610aa94ad34ef8d705689346
metadata_type geospatial
modified 2022-05-02T00:00:00Z
old-spatial -74.7, 41.5, -74.325, 41.855
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 8b225624ec17bef79458569c559ccd03a58898546d021049bd96957e2550a7fa
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-74.7, 41.5], [-74.7, 41.855], [ -74.325, 41.855], [ -74.325, 41.5], [-74.7, 41.5]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • aquifer-mapping
  • bedrock-mapping
  • glacial-geology
  • new-york
  • orange-county
  • rondout-neversink
  • sourcewater
  • statistics
  • sullivan-county
  • ulster-county
  • usgs-610aa94ad34ef8d705689346
  • valley-fill
isopen False
license_id notspecified
license_title License not specified
maintainer Joshua C Woda
maintainer_email jwoda@usgs.gov
metadata_created 2025-09-24T00:33:57.114174
metadata_modified 2025-09-24T00:33:57.114183
notes This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
num_resources 2
num_tags 20
title Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas