{"data":{"id":"10.6084/m9.figshare.1104387","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1104387","prefix":"10.6084","suffix":"m9.figshare.1104387","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Morawetz Linde","affiliation":[],"nameIdentifiers":[]},{"name":"Chittka Lars","affiliation":[],"nameIdentifiers":[]},{"name":"Spaethe Johannes","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Datasets for strategies of Apis mellifera during visual search for vertical targets"}],"publisher":"f1000research.com","container":{},"publicationYear":2014,"subjects":[{"subject":"Ecology"},{"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)"}],"contributors":[],"dates":[{"date":"2014-07-16","dateType":"Created"},{"date":"2014-08-08","dateType":"Updated"},{"date":"2014","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.12688/f1000research.4799.1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["17949 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":"Dataset 1: The dataset contains the decisions of each bee (correct: number of correct decisions; false: number of false decisions) during training phase. Data are divided in treatment groups (dorsal, ventral, mixed) and learning blocks of five trials (B1: trial number 1 to5; B2: trial number 6 to 10, etc.). The total number of decisions is given (_all) as well as the separation into trials with the target placed in the top row (_T_dorsal) and in the bottom row (_T_ventral). Dataset 2: The dataset contains the decision time (seconds) and error rate (correct: number of correct decisions; false: number of false decisions) of each bee during the test phase. Data are divided in treatment groups (dorsal, ventral, mixed) and learning blocks of six trials (B1: trial number 1 to6; B2: trial number 7 to 12, etc.). For both error rate and decision time the total values are given (_all) as well as the separation into trials with the target placed in the top row (_T_dorsal) and in the bottom row (_T_dorsal). NA = missing value. Dataset 3: The dataset contains the decision time (seconds) and error rate (correct: number of correct decisions; false: number of false decisions) of each bee during test the phase. Data are divided in treatment groups (dorsal, ventral, mixed) and learning blocks of three trials (B1: trial number 1 to 3; B2: trial number 4 to 6, etc.). For both error rate and decision time only the total values are given (_all). Dataset 4: The dataset contains the flight angles of the first (F1), third (F3) and fifth (F5) trial of all filmed bees (N=7 per treatment group). For the mixed group these trials are presented for both possible target positions (dorsal, ventral) – therefore in this group 10 flights per bee are shown. The distance between entrance hole and decision line (25cm) was divided into 5 segments of 5 cm length (_5: 0 to 5 cm distance from the entrance, _10: from 5 to 10 cm distance, etc. ). NA = missing value).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://f1000.figshare.com/articles/dataset/Datasets_for_strategies_of_Apis_mellifera_during_visual_search_for_vertical_targets/1104387","contentUrl":null,"metadataVersion":2,"schemaVersion":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