{"data":{"id":"10.5061/dryad.2m7b0","type":"dois","attributes":{"doi":"10.5061/dryad.2m7b0","prefix":"10.5061","suffix":"dryad.2m7b0","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Lazarus, David","nameType":"Personal","givenName":"David","familyName":"Lazarus","affiliation":[],"nameIdentifiers":[]},{"name":"Weinkauf, Manuel","nameType":"Personal","givenName":"Manuel","familyName":"Weinkauf","affiliation":[],"nameIdentifiers":[]},{"name":"Diver, Patrick","nameType":"Personal","givenName":"Patrick","familyName":"Diver","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data from: Pacman profiling: a simple procedure to identify stratigraphic outliers in high-density deep-sea microfossil data"}],"publisher":"Dryad","container":{},"publicationYear":2011,"subjects":[{"subject":"Microfossils","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Methods"},{"subject":"Radiolaria"},{"subject":"Biostratigraphy","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Polycystinea"}],"contributors":[],"dates":[{"date":"2011-07-08T11:16:24Z","dateType":"Submitted"},{"date":"2011-07-08T19:07:04Z","dateType":"Issued"},{"date":"2011-07-08T19:07:04Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.1666/10067.1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["430253 bytes"],"formats":[],"version":"1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The deep-sea microfossil record is characterized by an extraordinarily\n high density and abundance of fossil specimens, and by a very high degree\n of spatial and temporal continuity of sedimentation. This record provides\n a unique opportunity to study evolution at the species level for entire\n clades of organisms. Compilations of deep-sea microfossil species\n occurrences are, however, affected by reworking of material, age model\n errors, and taxonomic uncertainties, all of which combine to displace a\n small fraction of the recorded occurrence data both forward and backwards\n in time, extending total stratigraphic ranges for taxa. These data\n outliers introduce substantial errors into both biostratigraphic and\n evolutionary analyses of species occurrences over time. We propose a\n simple method—Pacman—to identify and remove outliers from such data, and\n to identify problematic samples or sections from which the outlier data\n have derived. The method consists of, for a large group of species,\n compiling species occurrences by time and marking as outliers calibrated\n fractions of the youngest and oldest occurrence data for each species. A\n subset of biostratigraphic marker species whose ranges have been\n previously documented is used to calibrate the fraction of occurrences to\n mark as outliers. These outlier occurrences are compiled for samples, and\n profiles of outlier frequency are made from the sections used to compile\n the data; the profiles can then identify samples and sections with\n problematic data caused, for example, by taxonomic errors, incorrect age\n models, or reworking of sediment. These samples/sections can then be\n targeted for re-study.","descriptionType":"Abstract"},{"description":"Lazarus_2012_Paleobiology_AppendicesAppendices 1 and 2. 1-tabular data extracted from or calculated from the Neptune database for Cenozoic radiolarian occurrences. 2-histograms (pdf plates) of occurences in time and effects of pacman data trimming for selected species of radiolarians. Details of table formats in readme.txt file included. File is zip archive, created with OS X 10.6 system 'compress'.","descriptionType":"Other"}],"geoLocations":[{"geoLocationPlace":"Marine"},{"geoLocationPlace":"Global"}],"fundingReferences":[],"xml":"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