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  1. {"id":"DANDI:001425/0.250705.0947","url":"https://dandiarchive.org/dandiset/001425/0.250705.0947","name":"BraiDyn-BC: mouse cued-lever-pull task dataset","about":[],"access":[{"status":"dandi:OpenAccess","schemaKey":"AccessRequirements"}],"license":["spdx:CC-BY-4.0"],"version":"0.250705.0947","@context":"https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.9/context.json","citation":"Kondo, Masashi; Sehara, Keisuke; Harukuni, Rie; Aoki, Ryo; Sugimoto, Shoya; Tanaka, Yasuhiro R; Matsuzaki, Masanori; Nakae, Ken (2025) BraiDyn-BC: mouse cued-lever-pull task dataset (Version 0.250705.0947) [Data set]. DANDI Archive. https://dandiarchive.org/dandiset/001425/0.250705.0947","keywords":["wide-field calcium imaging","behavioral tracking","operant conditioning task","sensory mapping","high-speed videography","head fixation","pupil tracking","transcranial optical imaging"],"protocol":["https://doi.org/10.1101/2025.02.03.631599"],"schemaKey":"Dandiset","identifier":"DANDI:001425","repository":"https://dandiarchive.org","contributor":[{"name":"Kondo, Masashi","email":"m.kondo.neuro@gmail.com","roleName":["dcite:Conceptualization","dcite:FormalAnalysis","dcite:Investigation"],"schemaKey":"Person","identifier":"0000-0001-8818-8316","affiliation":[{"name":"Department of Physiology, Graduate School of Medicine","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"}],"includeInCitation":true},{"name":"Sehara, Keisuke","email":"seharak@m.u-tokyo.ac.jp","roleName":["dcite:DataCurator","dcite:FormalAnalysis","dcite:Methodology"],"schemaKey":"Person","identifier":"0000-0003-4368-8143","affiliation":[{"name":"Department of Physiology, Graduate School of Medicine","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"}],"includeInCitation":true},{"name":"Harukuni, Rie","roleName":["dcite:DataCollector"],"schemaKey":"Person","affiliation":[{"name":"Department of Physiology, Graduate School of Medicine","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"}],"includeInCitation":true},{"name":"Aoki, Ryo","roleName":["dcite:FormalAnalysis","dcite:Methodology","dcite:Validation"],"schemaKey":"Person","affiliation":[{"name":"Brain Science Institute","schemaKey":"Affiliation","identifier":"https://ror.org/05f8a4p63"}],"includeInCitation":true},{"name":"Sugimoto, Shoya","roleName":["dcite:Methodology","dcite:Validation"],"schemaKey":"Person","affiliation":[{"name":"Brain Science Institute","schemaKey":"Affiliation","identifier":"https://ror.org/05f8a4p63"}],"includeInCitation":true},{"name":"Tanaka, Yasuhiro R","roleName":["dcite:Supervision","dcite:FundingAcquisition"],"schemaKey":"Person","identifier":"0009-0000-4779-4934","affiliation":[{"name":"Brain Science Institute","schemaKey":"Affiliation","identifier":"https://ror.org/05f8a4p63"},{"name":"Graduate School of Brain Sciences","schemaKey":"Affiliation","identifier":"https://ror.org/05f8a4p63"}],"includeInCitation":true},{"name":"Matsuzaki, Masanori","email":"mzakim@m.u-tokyo.ac.jp","roleName":["dcite:Conceptualization","dcite:FundingAcquisition","dcite:Supervision"],"schemaKey":"Person","identifier":"0000-0003-3872-4322","affiliation":[{"name":"Department of Physiology, Graduate School of Medicine","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"},{"name":"Brain Functional Dynamics Collaboration Laboratory","schemaKey":"Affiliation","identifier":"https://ror.org/04j1n1c04"},{"name":"Department of Biological Sciences, Graduate School of Science","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"},{"name":"International Research Center for Neurointelligence (WPI-IRCN)","schemaKey":"Affiliation","identifier":"https://ror.org/057zh3y96"}],"includeInCitation":true},{"name":"Nakae, Ken","email":"ken.nakae@gmail.com","roleName":["dcite:Conceptualization","dcite:FundingAcquisition","dcite:Supervision","dcite:ContactPerson"],"schemaKey":"Person","identifier":"0000-0003-4183-1532","affiliation":[{"name":"Exploratory Research Center on Life and Living Systems","schemaKey":"Affiliation","identifier":"https://ror.org/055n47h92"},{"name":"Department of Human and Artificial Intelligent Systems","schemaKey":"Affiliation","identifier":"https://ror.org/00msqp585"}],"includeInCitation":true},{"name":"JSPS KAKENHI","roleName":["dcite:Funder"],"schemaKey":"Organization","identifier":"https://ror.org/00hhkn466","awardNumber":"JP22H05163, JP22H05160, JP22H05154, JP22H05162, JP23K20309"},{"name":"AMED","roleName":["dcite:Funder"],"schemaKey":"Organization","identifier":"https://ror.org/004rtk039","awardNumber":"JP19dm0207088, JP24wm0625404, JP24wm0625001, JP24wm0625113"},{"name":"JST","roleName":["dcite:Funder"],"schemaKey":"Organization","identifier":"https://ror.org/00097mb19","awardNumber":"JPMJMS2294"},{"name":"ExCELLS","roleName":["dcite:Funder"],"schemaKey":"Organization","identifier":"https://ror.org/005t7z309","awardNumber":"Cooperative Study Program no. 19-102"}],"dateCreated":"2025-04-28T01:23:44.851653+00:00","description":"The BraiDyn-BC (Brain Dynamics underlying emergence of Behavioral Change) Database offers an extensive, multi-modal dataset that links wide-field calcium imaging of the mouse neocortex to comprehensive behavioral measurements during a behavioral task. As one of the contents in this database, we newly provide a dataset that includes 15 sessions spanning two weeks of motor skill learning, in which 25 mice were trained to pull a lever to obtain water rewards. Simultaneous high-speed videography captures body, facial, and eye movements, and environmental parameters are monitored. The dataset also features resting-state cortical activity and sensory-evoked responses, enhancing its utility for both learning-related and sensory-driven neural dynamics studies.","publishedBy":{"id":"urn:uuid:a1c7eda7-729a-4ca0-86ed-d5a925d5d0e2","name":"DANDI publish","endDate":"2025-07-05T09:47:54.642381+00:00","schemaKey":"PublishActivity","startDate":"2025-07-05T09:47:54.642381+00:00","wasAssociatedWith":[{"id":"urn:uuid:739c66e8-4f6d-462e-875a-2eefc1abcb54","name":"DANDI API","version":"0.1.0","schemaKey":"Software","identifier":"RRID:SCR_017571"}]},"studyTarget":["Multi-timescale changes in neural and behavioral dynamics of mice across multiple task-training sessions"],"assetsSummary":{"species":[{"name":"Mus musculus - House mouse","schemaKey":"SpeciesType","identifier":"http://purl.obolibrary.org/obo/NCBITaxon_10090"}],"approach":[{"name":"microscopy approach; cell population imaging","schemaKey":"ApproachType"},{"name":"behavioral approach","schemaKey":"ApproachType"}],"schemaKey":"AssetsSummary","dataStandard":[{"name":"Neurodata Without Borders (NWB)","schemaKey":"StandardsType","identifier":"RRID:SCR_015242"}],"numberOfBytes":8064863266752,"numberOfFiles":1838,"numberOfSubjects":25,"variableMeasured":["ProcessingModule","ImagingPlane","PupilTracking","SpatialSeries","OpticalChannel","PlaneSegmentation","EyeTracking","OnePhotonSeries"],"measurementTechnique":[{"name":"analytical technique","schemaKey":"MeasurementTechniqueType"},{"name":"surgical technique","schemaKey":"MeasurementTechniqueType"},{"name":"behavioral technique","schemaKey":"MeasurementTechniqueType"},{"name":"one-photon microscopy technique","schemaKey":"MeasurementTechniqueType"}]},"datePublished":"2025-07-05T09:47:54.642381+00:00","schemaVersion":"0.6.9","ethicsApproval":[],"wasGeneratedBy":[],"relatedResource":[{"url":"https://doi.org/10.1101/2025.02.03.631599","name":"A multimodal dataset linking wide-field calcium imaging to behavior changes in mice during an operant lever-pull task","relation":"dcite:IsDescribedBy","schemaKey":"Resource","identifier":"https://doi.org/10.1101/2025.02.03.631599","repository":"bioRxiv","resourceType":"dcite:Preprint"},{"url":"https://mmlab-repo.m.u-tokyo.ac.jp/r/Matsuzaki/BraiDyn-BC_CuedLeverPull","name":"The BraiDyn-BC dataset for the cued-lever-pull task","relation":"dcite:IsVariantFormOf","schemaKey":"Resource","repository":"Matsuzaki Lab Data Sharing Platform","resourceType":"dcite:Dataset"},{"url":"https://github.com/BraiDyn-BC/bdbc-data-pipeline","name":"bdbc-data-pipeline","relation":"dcite:IsCompiledBy","schemaKey":"Resource","repository":"GitHub","resourceType":"dcite:Software"},{"url":"https://drive.google.com/drive/folders/1QciTJd3tXkEGhz6782czB2dEO3fafm8M","name":"Tutorials for navigating through BraiDyn-BC datasets (English)","relation":"dcite:IsDescribedBy","schemaKey":"Resource","repository":"Google Drive","resourceType":"dcite:Software"},{"url":"https://github.com/BraiDyn-BC/bdbc-nwb-explorer","name":"bdbc-nwb-explorer","relation":"dcite:Compiles","schemaKey":"Resource","identifier":"https://github.com/BraiDyn-BC/bdbc-nwb-explorer","repository":"bdbc-nwb-explorer","resourceType":"dcite:Software"}],"manifestLocation":["https://dandiarchive.s3.amazonaws.com/dandisets/001425/0.250705.0947/assets.yaml"]}
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