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_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:605255fcd34e7eb1cb3eb44d
metadata_type geospatial
modified 20220502
old-spatial -75.240344238273, 40.90179655243, -73.010119628987, 42.282096078758
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 6fd5fdd4985a146f9ec275be220187a38c2c2721
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-75.240344238273, 40.90179655243], [-75.240344238273, 42.282096078758], [ -73.010119628987, 42.282096078758], [ -73.010119628987, 40.90179655243], [-75.240344238273, 40.90179655243]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • aquifer-mapping
  • bedrock-mapping
  • ckan
  • dutchess-county
  • fishkill
  • geo
  • geoss
  • glacial-geology
  • national
  • new-york
  • north-america
  • putnam-county
  • sourcewater
  • united-states
  • usgs-605255fcd34e7eb1cb3eb44d
  • valley-fill
  • wappinger-falls
isopen False
license_id notspecified
license_title License not specified
maintainer Joshua C Woda
maintainer_email jwoda@usgs.gov
metadata_created 2025-11-20T07:49:23.046260
metadata_modified 2025-11-20T07:49:23.046265
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 19
title Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas