Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
187
datasets available to search
ShareScore release 0.7.1
Dataset results
187 results for “Neuroscience”
LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794
<p><strong>OVERVIEW</strong></p> <p>All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd</p> <p>For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around)</p> <p>Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015</p> <p>Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena</p> <p>All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files</p> <p><br> <strong>RAT SPECIFIC NOTES</strong></p> <p>R2142</p> <p>>>2014-08-06</p> <p>Screening, Track1 and SleepPost present</p> <p> </p> <p>R2192</p> <p>>>2104-09-17</p> <p>Track1 and SleepPost sessions present</p> <p>>>2014-10-01</p> <p>Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost)</p> <p> </p> <p>R2217</p> <p>>>2014-12-13</p> <p>Screening, Track1 and SleepPost present</p> <p>>>2014-12-18</p> <p>Screening, Track1 and SleepPost present</p> <p><br> R2335</p> <p>>>2015-10-26</p> <p>Screening, Track1 and SleepPost present<br> </p> <p>R2336</p> <p>>>2015-11-01</p> <p>Track1 and SleepPost present</p> <p>>>2015-11-04</p> <p>Track1 and SleepPost present</p> <p> </p> <p>R2337</p> <p>>>2015-11-27</p> <p>Track1 and SleepPost present</p> <p>>>2015-12-01</p> <p>Track1 and SleepPost present</p>
Datasets and figures for simple models of neuroscience research discoveries
<p>Data on Drosophila, Zebrafish, and C. elegans model systems in scientific publications from African laboratories from the year 2000 to 2021.</p> <p>Preprints paper <a href="https://www.biorxiv.org/content/10.1101/2022.12.30.522314v1">https://www.biorxiv.org/content/10.1101/2022.12.30.522314v1</a></p>
Effectiveness of AI-Guided Exercise and Pain Neuroscience Education for Fibromyalgia (FIBROIA)
ClinicalTrials.gov study NCT06672419. IPD Sharing: YES. Countries: 2. Publications: 1.
Neuroscience of Psychotherapy for Depression
ClinicalTrials.gov study NCT06696001. IPD Sharing: YES. Countries: 1. Publications: 5.
The Effectiveness of Pain Neuroscience Education in At-risk Patients Following Surgery for Lumbar Radiculopathy
ClinicalTrials.gov study NCT05047679. IPD Sharing: YES. Countries: 1. Publications: 12.
Neuroscience Education in Shoulder Pain: Clinical Trial
ClinicalTrials.gov study NCT06739694. IPD Sharing: NO. Countries: 1. Publications: 1.
Translational Neuroscience Optimization of GlyT1 Inhibitor
ClinicalTrials.gov study NCT01911676. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Building Resiliency in Patients Admitted to the Neuroscience Intensive Care Unit and Their Caregivers
ClinicalTrials.gov study NCT03694678. IPD Sharing: NO. Countries: 1. Publications: 3.
A White Matter Atlas and Common Connectivity Space Facilitate the Pig as a Translational Model in Neuroscience
<p>Dataset accompanying the preprint <em>"A White Matter Atlas and Common Connectivity Space Facilitate the Pig as a Translational Model in Neuroscience"</em>. Contained here are the files used for the cross-species browser spec files, as well as the raw and preprocessed pig diffusion-weighted data, and their raw anatomical files and surfaces. </p> <p>The preprint is available here: <a href="https://www.biorxiv.org/content/10.1101/2020.10.13.337436">https://www.biorxiv.org/content/10.1101/2020.10.13.337436</a></p> <p>And the associated code and lighter files can be found here: <a href="https://github.com/neurabenn/pig_connectivity_bp_preprint">https://github.com/neurabenn/pig_connectivity_bp_preprint</a></p> <p> </p>
Dataset (MATLAB format) from Yang et al (2022) Thalamus-driven functional populations in frontal cortex support decision-making. Nat. Neurosci.
<p><strong>Summary</strong></p> <p>These experiments measure neuronal responses from the left hemisphere of premotor cortex (anterior lateral motor cortex, ALM) of adult mice performing pole location discrimination with a short-term memory. In a subset of the recordings, we inactivate activity of one of the brain regions providing inputs to ALM (ipsilateral S1/S2, contralateral ALM, and ipsilateral Thal<sub>ALM</sub>) in some trials.</p> <p>This dataset contains data from 9626 single units, 73 mice, 347 sessions. The dataset is described as “the primary dataset” in the paper below. The experiments (including experiment methods) are described in the paper.</p> <p><em>Yang W, Tipparaju SL, Chen G, Li N, (2022). Thalamus-driven functional populations in frontal cortex activity supports decision-making. Nat Neurosci, in press.</em></p> <p> </p> <p>The second dataset used in the paper can be downloaded also from Zenodo at</p> <pre><a href="https://doi.org/10.5281/zenodo.6713616">https://doi.org/10.5281/zenodo.6713616</a></pre> <p> </p> <p><strong>How to cite the data</strong></p> <p>If you publish any work using the data, please cite the Chen et. al., (2021) publication above and also cite the dataset in the following recommended format:</p> <p>Li N (2022); Data and simulations related to: Thalamus-driven functional populations in frontal cortex activity supports decision-making. Yang et al (2022) Nat Neurosci.</p> <p><a href="http://dx.doi.org/10.5281/zenodo.6846161">http://dx.doi.org/10.5281/zenodo.6846161</a></p> <p> </p> <p><strong>How to get started</strong></p> <p>Once downloaded</p> <p>1) unzip “<strong>func</strong>”</p> <p>2) unzip "<strong>scripts</strong>"</p> <p>3) Run any scripts "<strong>demo_*.m</strong>" within "<strong>scripts</strong>"</p> <p> </p> <p>A collection of analyses scripts that reproduce figures in " Yang et al (2022)" is included in the folder "<strong>\scripts\</strong>"</p> <p><strong>demo_compute_activity_modes_independentTrials.m</strong> – plot t-SNE embedding and all the response profile clusters; plots PSTHs from an example cluster; plots neurons connected to S1/S2, cALM, ThalALM on the t-SNE.</p> <p><strong>demo_compute_tSNE_embedding.m</strong> – t-SNE embedding of neuronal response profiles (based on PSTH shape)</p> <p><strong>demo_compute_activity_modes.m</strong> – compute activity modes from neuronal population responses.</p> <p><strong>demo_compute_selectivity_vector_stability.m</strong> – analysis of selectivity vectors</p> <p> </p> <p> </p>
EEG-based Consumer Neuroscience and Neuromarketing Dataset
<p>SciMAT dataset with 497 EEG-based Consumer Neuroscience and Neuromarketing articles from 2002 (Consumer Neuroscience field origin) to 2022. Three periods of study were established according to the frequency of EEG use in Consumer neuroscience. The first of these periods, 2002-2010, corresponds to the first decade in which we see the initial acceptance of EEG technology in the field. In the second period, 2011-2017, the use of EEG experiences a growth phase, and during the third period, 2018-2021, we see a substantial rise in the use of EEG in Consumer neuroscience and Neuromarketing studies.</p>
Data and code accompanying Hasnain, Birnbaum et al., Nature Neuroscience 2024
<p><strong>Data and code accompanying Hasnain M, Birnbaum J, Ugarte Nunez JL, Hartman E, Chandramouli C, Economo M (2024).</strong></p> <p>Electrophysiology data recorded in anterior lateral motor cortex (ALM) and keypoint tracking data from mice performing a two-context task (delayed-response and water-cued).</p> <p><strong>File organization:</strong></p> <p>In the data folder, there are 4 subfolders, each containing different datasets:</p> <ul> <li>Ephys_Behavior: electrophysiology and keypoint data for mice performing the two-context task with a static delay length </li> <li>RandomizedDelay_Ephys_Behavior: electrophysiology and keypoint data for mice performing the delayed-response task with a randomized delay length.</li> <li>DelayInhibition_BilatMC_Behavior: keypoint data for mice performing the two-context task while the motor cortex was bilaterally silenced during the delay epoch on a random subset of trials.</li> <li>GoCueInhibition_BilatMC_Behavior: keypoint data for mice performing thetwo-context task while the motor cortex was bilaterally silenced during the response epoch on a random subset of trials.</li> </ul> <p>There are two types of .mat files:</p> <ul> <li>data_structure_animal_sessiondate.mat: MATLAB struct containing electrophysiology and/or keypoint data for a single session.</li> <li>motionEnergy_animal_sessiondate.mat: MATLAB struct containing motion energy data and assigned movement threshold for a single session (for behavior-only sessions, motion energy is stored in the data_structure file itself).</li> </ul> <p>______________________________________________________________________________________________________________</p> <p>See the README in the code folder for more info and instructions on how to use the data and the provided code.</p> <p>Code can also be found at <a href="https://github.com/economolab/HasnainBirnbaum2024" target="_blank" rel="noopener">Github.</a></p>
The Quantile-Quantile Plots of Analyzed Variables in a Neuroscience Study
<p>Enclosed with this submission are the Quantile-Quantile Plots pertinent to the variables involved in our study. These plots serve as graphical evaluation methods for assessing the normality of our variables. </p>
Cohort of Patients With Covid-19 Presenting Neurological or Psychiatric Disorders (CoCo-Neurosciences)
ClinicalTrials.gov study NCT04362930. IPD Sharing: NO. Countries: 1. Publications: 1.
Pain Neuroscience Education Following Arthroscopic Rotator Cuff Repair
ClinicalTrials.gov study NCT05277077. IPD Sharing: NO. Countries: 1. Publications: 6.
Pain Neuroscience Education Combined With Cognition-targeted Motor Control Training
ClinicalTrials.gov study NCT02098005. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Computational Neuroscience of Language Processing in the Human Brain
ClinicalTrials.gov study NCT05222594. IPD Sharing: NO. Countries: 1. Publications: 14.
Comparison of the Effect of Pain Neuroscience Education Combined With Physiotherapy, and Physiotherapy Alone in Temporomandibular Disorders
ClinicalTrials.gov study NCT07147764. IPD Sharing: NO. Countries: 1. Publications: 25.
Evaluation of Pain Neuroscience Education for Patients Who Experience Chronic Pain With Concurrent Opioid Dependence
ClinicalTrials.gov study NCT06442306. IPD Sharing: YES. Countries: 1. Publications: 28.
Additional Effect of Pain Neuroscience Education to Spinal Manipulative Therapy in Chronic Low Back Pain
ClinicalTrials.gov study NCT03356886. IPD Sharing: Not stated. Countries: 1. Publications: 7.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.