{
"DOI": { "doi": "10.5066/p9l4ipze", "identifiers": [], "creators": [ { "name": "Oliver, John W", "nameType": "Personal", "givenName": "John W", "familyName": "Oliver", "affiliation": [ "United States Geological Survey" ], "nameIdentifiers": [] }, { "name": "Waller, Diane L", "nameType": "Personal", "givenName": "Diane L", "familyName": "Waller", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0002-6104-810X", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Putnam, Joel G", "nameType": "Personal", "givenName": "Joel G", "familyName": "Putnam", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0002-5464-4587", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Erickson, Richard A", "nameType": "Personal", "givenName": "Richard A", "familyName": "Erickson", "affiliation": [], "nameIdentifiers": [ { "schemeUri": "https://orcid.org", "nameIdentifier": "https://orcid.org/0000-0003-4649-482X", "nameIdentifierScheme": "ORCID" } ] } ], "titles": [ { "title": "Indiana mussel metabolomics data analysis" } ], "publisher": "U.S. Geological Survey", "container": {}, "publicationYear": 2023, "subjects": [ { "subject": "mussel, db-RDA, NMDS, metabolimc, metabolomic" } ], "contributors": [], "dates": [ { "date": "2022", "dateType": "Created" }, { "date": "2023", "dateType": "Available" }, { "date": "2023", "dateType": "Issued" } ], "language": null, "types": { "ris": "COMP", "bibtex": "misc", "citeproc": "article", "schemaOrg": "SoftwareSourceCode", "resourceType": "Software", "resourceTypeGeneral": "Software" }, "relatedIdentifiers": [ { "relationType": "IsCitedBy", "relatedIdentifier": "10.1093/conphys/coad040", "relatedIdentifierType": "DOI" } ], "relatedItems": [], "sizes": [], "formats": [], "version": null, "rightsList": [], "descriptions": [ { "description": "This repository contains code to cluster a sample of Mussels based up their metabolic levels via Non-Metric Multidimensional Scaling (NMDS) and distance based-Redundancy Analysis (db-RDA). Mussel sample is broken down and examined by catch location, sex, and species. The code for this project assumes the reader is familiar with R and clustering techniques.", "descriptionType": "Abstract" } ], "geoLocations": [], "fundingReferences": [], "url": "https://code.usgs.gov/umesc/quant-ecology/stats_code/mussel-metabolomics/-/tree/1.0", "contentUrl": null, "metadataVersion": 1, "schemaVersion": "http://datacite.org/schema/kernel-4", "source": "mds", "isActive": true, "state": "findable", "reason": null, "viewCount": 0, "downloadCount": 0, "referenceCount": 0, "citationCount": 1, "partCount": 0, "partOfCount": 0, "versionCount": 0, "versionOfCount": 0, "created": "2023-01-24T16:04:38Z", "registered": "2023-01-24T16:04:39Z", "published": null, "updated": "2023-07-16T04:58:25Z" }
}