Pseudo-Probabilistic Framework Demonstration Datasets 2024

Raw data sources and link to supplementary demonstration results data.

This dataset is associated with the following publication: Harwell, L., C. McMillion, A. Lamper, and J.K. Summers. Development of a generalized pseudo-probabilistic approach for characterizing ecological conditions in estuaries using secondary data. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 196(8): 753, (2024).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1531663
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2024-06-12
programCode {020:000}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1007/s10661-024-12877-8,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11271375}
resource-type Dataset
source_datajson_identifier true
source_hash 480fd244fe8b400f0e3fc6ca14f767cd316a20c68425d0a5c58a8ac816ec1ece
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • assessment
  • estuary
  • ncca
  • probabilistic
  • secondary-data
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Linda Harwell
maintainer_email harwell.linda@epa.gov
metadata_created 2025-09-23T14:38:09.378975
metadata_modified 2025-09-23T14:38:09.378983
notes Raw data sources and link to supplementary demonstration results data. This dataset is associated with the following publication: Harwell, L., C. McMillion, A. Lamper, and J.K. Summers. Development of a generalized pseudo-probabilistic approach for characterizing ecological conditions in estuaries using secondary data. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 196(8): 753, (2024).
num_resources 3
num_tags 13
title Pseudo-Probabilistic Framework Demonstration Datasets 2024