{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Michael Dumelle", "hasEmail": "mailto:dumelle.michael@epa.gov"}, "description": "This is the Mid Columbia stream network used in the application section of the journal article. \n\nThis dataset is associated with the following publication:\nVer Hoef, J., M. Dumelle, M. Higham, E. Peterson, and D. Isaak. Indexing and Partitioning the Spatial Linear Model for Large Data Sets.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(11): e0291906, (2023).", "distribution": [{"accessURL": "https://github.com/jayverhoef/midColumbiaLSN", "title": "https://github.com/jayverhoef/midColumbiaLSN"}], "identifier": "https://doi.org/10.23719/1529840", "keyword": ["Big Data", "Correlation", "Stream Network", "spatial data", "statistical model"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2023-11-14", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1371/journal.pone.0291906", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619847"], "rights": null, "title": "Large Mid Columbia Spatial Stream Data"}