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<response><xml version="1.0" encoding="UTF-8"><resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd"><identifier identifierType="DOI">10.60964/rnd-1m60-zh48</identifier><creators><creator><creatorName nameType="Personal">H&#xE4;rmson O</creatorName><givenName>Oliver</givenName><familyName>H&#xE4;rmson</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-0556-1539</nameIdentifier></creator><creator><creatorName nameType="Personal">Grennan I</creatorName><givenName>Isaac</givenName><familyName>Grennan</familyName></creator><creator><creatorName nameType="Personal">Perry B</creatorName><givenName>Brook</givenName><familyName>Perry</familyName></creator><creator><creatorName nameType="Personal">Toth R</creatorName><givenName>Robert</givenName><familyName>Toth</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-4531-3337</nameIdentifier></creator><creator><creatorName nameType="Personal">Walton ME</creatorName><givenName>M E</givenName><familyName>Walton</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-0117-2894</nameIdentifier></creator><creator><creatorName nameType="Personal">Manohar S</creatorName><givenName>Sanjay</givenName><familyName>Manohar</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-0735-4349</nameIdentifier></creator><creator><creatorName nameType="Personal">Sharott A</creatorName><givenName>Andrew</givenName><familyName>Sharott</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-1594-3349</nameIdentifier></creator></creators><titles><title xml:lang="en">Simultaneous single-unit recordings from five frontal and basal ganglia areas, with behaviour, and video tracking from rats performing a cost-benefit decision task.</title></titles><resourceType resourceTypeGeneral="Dataset">Simultaneous single-unit recordings from five frontal and basal ganglia areas, with behaviour, and video tracking from rats performing a cost-benefit decision task.</resourceType><publisher>University of Oxford</publisher><publicationYear>2026</publicationYear><dates><date dateType="Issued">2026</date></dates><language>en</language><rightsList><rights rightsURI="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons Attribution Share Alike 4.0 International</rights></rightsList><descriptions><description xml:lang="en" descriptionType="TechnicalInfo"><![CDATA[Four rats (gh001, gh009, gh010, oh011) performed a cost-benefit decision task in which they accepted or rejected offers that varied in reward size and effort, while single units were recorded simultaneously from up to five areas of the right hemisphere:medial/ventral orbitofrontal cortex (MO/VO)anterior cingulate cortex (ACC)dorsomedial striatum (DMS)ventral pallidum (VP)subthalamic area (STA; labelled "stn" in the file names)Recordings were made over 71 days between 4 December 2020 and 9 January 2022 (oh011: 4-17 Dec 2020, 14 days; gh001: 1-18 Jun 2021, 17 days; gh009: 19 Dec 2021 - 9 Jan 2022, 21 days; gh010: same period, 19 days).70 of these days are used in the analyses (gh001 17, gh009 20, gh010 19, oh011 14). After the firing-rate criterion (&gt;= 0.1 Hz) the analyses include 2,661 single units (MO/VO 429, ACC 505, DMS 1,184, VP 132, STA 411).Each trial is divided into task epochs: PRE (pre-cue), CUE, NP_EX (nose-poke exit / action), CORR1 and CORR6 (corridor light gates 1 and 6) and DEL (pre-reward delay, accepted trials only).Sampling ratesElectrophysiology 20 kHz; behavioural events (nose pokes, light gates, magazine entries) 1 kHz; overhead video and its DeepLabCut tracking 100 Hz; firing rates are binned at 25 ms.File formatsProcessed tables (inputs to the statistics and figures):&nbsp; &nbsp; &nbsp;480152_spike_times.feather - firing rates of every unit (25 ms bins, causal exponential smoothing with tau = 50 ms) per epoch and trial, accepted trials (0.9 GB)&nbsp; &nbsp; &nbsp;828817_spike_times.feather - the same for rejected trials (0.35 GB)&nbsp; &nbsp; &nbsp;382702_canonical_corr.feather - cross-validated canonical correlation analysis (CCA) between every pair of the five &nbsp;areas, per session, epoch and canonical dimension, with a permutation null&nbsp; &nbsp; &nbsp;746484_canonical_corr.feather - &nbsp;CCA over the decision window of accepted/rejected trials&nbsp; &nbsp; &nbsp;624290_regression.feather - decoding of reward, effort, trial number and running speed from the canonical components&nbsp; &nbsp; &nbsp;258066_regression.feather - decoder trained on accepted + rejected trials, scored separately for each&nbsp; &nbsp; &nbsp;258066_xy_table.feather - running speed per trial, epoch and bin for the accepted/rejected decoder&nbsp; &nbsp; &nbsp;781039_replacement_summary.csv summary of the replacing task variables&nbsp;Source files used to regenerate the running-speed table:&nbsp; &nbsp; &nbsp;958690_DinChannels.pbz2, 958690_FineBehaviour.pbz2, 958690_TrialBehaviour.pbz2, 958690_SpikeStats.pbz2 event channels, behavioural state sequences and trial tables of all recording stages&nbsp; &nbsp; &nbsp;809107_TrialBehaviour.pbz2 - trial-by-trial behaviour of the implanted animals&nbsp; &nbsp; &nbsp;773894_xy_tables/ &nbsp;- 663 DeepLabCut tracking tables (animal x/y position in pixels, 100 Hz), one per stageCode requirementsPython 3.10; numpy 1.24.4, pandas 1.5.3, scipy 1.11.4, statsmodels 0.14.5, matplotlib 3.8.4, seaborn 0.13.2, pingouin 0.5.5, pyarrow 21.0.0, scikit-image 0.22.0, pillow 11.3.0, ray 2.49.1 (environment.yml). About 10 GB of memory for the supplemental-figures script (it loads the 0.9 GB unit table); run times are under a minute for three of the scripts and about 15 minutes for the first run of the fourth (later runs use cached results in 'output/'). Input data for the code must match the files in this dataset (names and columns as supplied). Large files (the tracking tables, DinChannels, and the two unit tables; ~5 GB) are provided separately from the code repository.&nbsp;]]></description></descriptions><fundingReferences><fundingReference><funderName>The Clarendon Fund and Mary Somerville Clarendon Graduate Scholarship in conjunction with the Department of Experimental Psychology</funderName><awardNumber>SFF1819_CB2_MSD_ 1196514</awardNumber></fundingReference><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>MC_UU_00003/6</awardNumber></fundingReference><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>UKRI/MR/B000936/1</awardNumber></fundingReference><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>MR/X022080/1</awardNumber></fundingReference></fundingReferences></resource></xml></response>
