{"data":{"id":"10.6084/m9.figshare.9340712.v6","type":"dois","attributes":{"doi":"10.6084/m9.figshare.9340712.v6","prefix":"10.6084","suffix":"m9.figshare.9340712.v6","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"L Höhne","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Eurasian perch growth information and gravel pit characteristics dataset"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"60204 Freshwater Ecology","subjectScheme":"FOR"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"70403 Fisheries Management","subjectScheme":"FOR"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Agriculture, forestry and fisheries","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"70499 Fisheries Sciences not elsewhere classified","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2019-12-16","dateType":"Created"},{"date":"2020-01-16","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.9340712","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["193186 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"These are supplementary files for the article \"Environmental determinants of perch (\u003ci\u003ePerca fluviatilis\u003c/i\u003e) growth and the performance of simple vs. complex ecological predictors\" by Leander Höhne et al. \u003cbr\u003e\"Supporting_Information_S4_Complex_Model_#20\" = R script to generate results of the \"best-performing complex model\" to predict perch growth in gravel pits, referenced as S4 in Supporting Information of Höhne et al.\"Supporting_Information_S5_Simple_Model_#20\" = R script to generate results of the \"best-performing simple model\" to predict perch growth in gravel pits, referenced as S5 in Supporting Information of Höhne et al.\"Fish.csv\" = Raw data files of operculum-radii-at-age measurements of Eurasian perch from 13 gravel pit lakes in Lower Saxony, Germany, sampled by gillnetting and electrofishing.\"Lakes.csv\" = Values for 16 biotic and abiotic variables of the same 13 gravel pit lakes, describing their morphometry, nutrient status, habitat availability, fish community, etc.\"Hoehne_fish\" and Hoehne_lakes\" contain the same data, but with more descriptive headers to facilitate interpretation, saved as Excel-files \u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/Hoehne_fish_csv/9340712/6","contentUrl":null,"metadataVersion":5,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2019-12-16T08:43:31.000Z","registered":"2019-12-16T08:43:32.000Z","published":"2019","updated":"2020-08-26T20:35:46.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.9340712.v6","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}