<?xml version="1.0"?>
<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"> 10.5287/bodleian:ZVNyvrw7R</identifier><creators><creator><creatorName nameType="Personal">Rodriguez F</creatorName><givenName>Fernando</givenName><familyName>Rodriguez</familyName></creator><creator><creatorName nameType="Personal">He S</creatorName><givenName>Shenghong</givenName><familyName>He</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-5269-1902</nameIdentifier></creator><creator><creatorName nameType="Personal">Tan H</creatorName><givenName>Huiling</givenName><familyName>Tan</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-8038-3029</nameIdentifier></creator></creators><titles><title xml:lang="en">Local Field Potential (LFP) data recorded from externalized Essential Tremor DBS Patients during 3 upper-limb movement tasks</title></titles><resourceType resourceTypeGeneral="Dataset">Local Field Potential (LFP) data recorded from externalized Essential Tremor DBS Patients during 3 upper-limb movement tasks</resourceType><publisher>University of Oxford</publisher><publicationYear>2022</publicationYear><dates><date dateType="Issued">2022</date></dates><language>en</language><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy">10.1002/mds.28513</relatedIdentifier></relatedIdentifiers><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[This dataset was recorded during sessions with externalized Deep Brain Stimulation (DBS) Essential Tremor (ET) patients. Patients were asked to perform a pegboard insertion task, a posture hold with arms stretched out front, and a rice pouring task between two cups. Data was recorded both with DBS stimulation on and off. Here we only provide a brief description and refer to the Methods section of [1] for further details on the patients (incl. clinical information), hardware, and recording setup. 

The dataset is structured as a series of 8 folders (1, 2, …, 8), with each folder corresponding to data recorded from an individual patient. Each of these folders contains HDF5 files named &lt;task&gt;_&lt;stimulation_condition&gt;.h5 (e.g. Pegboard_on.h5), where each file consist of arrays containing bilateral, multi-channel LFPs under the “LFP” key and a corresponding movement label under the “label” key. Movement labels were extracted from EMG and accelerometer data attached to the arms and hands of patients. The LFP data comes highpass-filtered (4th order, one-pass butterworth filter with cut-off frequency of 1 Hz). The sampling rate for all datasets is 2048 Hz.

This dataset has been set up to directly work with the code provided at https://github.com/fer-rplazas/feature-extraction-methods, which includes utilities to load the data, train models with it, and generate figures.
]]></description></descriptions><fundingReferences><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>MR/P012272/1</awardNumber></fundingReference><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>MC_UU_12024/1</awardNumber></fundingReference><fundingReference><funderName>Medical Research Council, UKRI</funderName><awardNumber>MC_UU_00003/2</awardNumber></fundingReference><fundingReference><funderName>S. He is supported by BRAIN Non-Clinical Post-Doctoral Fellowship</funderName></fundingReference></fundingReferences></resource></xml></response>
