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Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS
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PsPM-RRM1-2: SCR, ECG, respiration and eye tracker measurements in response to electric stimulation or visual targets
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG), respiration and eye tracker (including pupillometry) measurements for each of 29 healthy unmedicated participants (7 males and 22 females aged 23.5 +/- 3.6 years) in response to 10 discomforting electric stimulations to the forearm (RRM1) or 10 visual targets in a visual detection task (RRM2). The sample partly overlaps with data set <a href="https://doi.org/10.5281/zenodo.1292568">PsPM-FR</a>. Some participants did not take part in RRM1 or RRM2 such that there are 25 recordings for RRM1 and 26 recordings for RRM2. Electric shock stimuli are 0.2 ms wide square current pulse repeated at 500 Hz for 500 ms and individually adjusted amplitude just below the pain threshold. Visual stimuli are red crosses (+) embedded in a white digit stream; each stimulus is presented during 200 ms and separated by a 800 ms blank interval. ITI is selected randomly on each trial from 40 s, 45 s or 50 s. A baseline period with distractors but no targets concludes experiment RRM2. (This is in contrast to the methods description in Bach et al. (2016), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)</p>
PsPM-SCRV6: Skin conductance responses to pain by electric stimulation
<p>This dataset includes skin conductance response (SCR) measurements for each of 20 healthy unmedicated participants (10 males and 10 females aged 21.8+/-3.3 years) in response to 10 discomforting electric shocks. Stimuli are 0.5ms wide square current pulse repeated at 500Hz for 100ms. Amplitude is varied (mean +/- SD: 0.78mA +/- 0.43mA). ITI is selected randomly on each trial from 29s, 34s or 39s.</p>
Experimental study dataset: "Enhancing Touch Sensibility with Sensory Electrical Stimulation and Sensory Retraining"
<p>Experimental study dataset: "Enhancing Touch Sensibility with Sensory Electrical Stimulation and Sensory Retraining".</p> <p>This research was supported by the Swiss National Science Foundation through the grant PP00P2 163800. This work was also supported by SENACYT and IFARHU, the Panamanian Government.</p> <p>Files and data to upload:</p> <ol> <li>Description of variables </li> <li>Continue robot data (pickles)</li> <li>Discontinue robot data (task performance)</li> <li>EEG data</li> </ol>
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation
<p><strong>Supporting materials for the GX Dataset.</strong> </p> <p> The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.</p> <p><strong>Publication</strong></p> <p>A full data descriptor is published in <a href="https://doi.org/10.1038/s41597-021-01046-y">Nature Scientific Data</a>. <strong>Please cite this work as</strong>:</p> <blockquote> <p>Gebodh, N., Esmaeilpour, Z., Datta, A. et al. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y</p> </blockquote> <p> </p> <p><strong>Descriptions</strong></p> <p>A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES; including tDCS and tACS). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG or EKG, EOG), and continuous behavioral vigilance/alertness metrics (CTT task).</p> <p><strong>Acknowledgments</strong></p> <p>Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499.</p> <p>We would like to thank Yuxin Xu and Michaela Chum for all their technical assistance.</p> <p> </p> <p><strong>Extras</strong></p> <p>For downsampled data (1 kHz ) please see (in .mat format):</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.3840614">Experiment 1</a> : https://doi.org/10.5281/zenodo.3840614</li> <li><a href="https://doi.org/10.5281/zenodo.3840616">Experiment 2</a> : https://doi.org/10.5281/zenodo.3840616</li> </ul> <p> </p> <p>Code used to import, process, and plot this dataset can be found here:</p> <ul> <li><a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">GitHub</a> : <a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior</a></li> </ul> <p> </p> <p>Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:</p> <ul> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_PSD/14810517">PSD</a>: <a href="https://doi.org/10.6084/m9.figshare.14810517.v1">https://doi.org/10.6084/m9.figshare.14810517.v1</a></li> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_Topoplots/14810478">Topoplots During Stimulation:</a> <a href="https://doi.org/10.6084/m9.figshare.14810478">https://doi.org/10.6084/m9.figshare.14810478</a></li> <li><a href="https://doi.org/10.6084/m9.figshare.14810442.v1">Voltage timeseries, spectrogram and behavior:</a> <a href="https://doi.org/10.6084/m9.figshare.14810442">https://doi.org/10.6084/m9.figshare.14810442.v1</a></li> </ul> <p> </p> <p>The full dataset is also provided in <a href="https://bids.neuroimaging.io/">BIDS</a> format here:</p> <ul> <li><a href="https://doi.org/10.18112/openneuro.ds003670.v1.1.0">Data in BIDS format:</a> https://doi.org/10.18112/openneuro.ds003670.v1.1.0</li> </ul> <p><strong>Data License </strong><br><a href="https://creativecommons.org/licenses/by/4.0/">Creative Common 4.0 with attribution (CC BY 4.0)</a></p> <p> </p> <p><strong>NOTE</strong></p> <p><strong>Please email ngebodh01@citymail.cuny.edu with any questions.</strong></p> <p> </p>
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation-Exp1-Data Downsampled
<p><strong>GX Dataset downsampled - Experiment 1</strong></p> <p>The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.<br>Here the GX Dataset for <strong>Experiment 1</strong> is downsampled to 1 kHz and saved in .MAT format which can be used in both MATLAB and Python.</p> <p><strong>Publication</strong></p> <p>A full data descriptor is published in <a href="https://doi.org/10.1038/s41597-021-01046-y">Nature Scientific Data</a>. <strong>Please cite this work as</strong>:</p> <blockquote> <p>Gebodh, N., Esmaeilpour, Z., Datta, A. et al. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y</p> </blockquote> <p><strong>Descriptions</strong></p> <p>A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics.</p> <p><strong>Acknowledgments</strong></p> <p>Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499.</p> <p><strong>Extras</strong></p> <p>Back to <a href="https://doi.org/10.5281/zenodo.4456079">Full GX Dataset</a> : https://doi.org/10.5281/zenodo.4456079</p> <p> </p> <p>For downsampled data (1 kHz ) please see (in .mat format):</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.3840614">Experiment 1</a> : https://doi.org/10.5281/zenodo.3840614</li> <li><a href="https://doi.org/10.5281/zenodo.3840616">Experiment 2</a> : https://doi.org/10.5281/zenodo.3840616</li> </ul> <p> </p> <p>Code used to import, process, and plot this dataset can be found here:</p> <ul> <li><a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">GitHub</a> : <a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior</a></li> </ul> <p> </p> <p>Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:</p> <ul> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_PSD/14810517">PSD</a>: <a href="https://doi.org/10.6084/m9.figshare.14810517.v1">https://doi.org/10.6084/m9.figshare.14810517.v1</a></li> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_Topoplots/14810478">Topoplots During Stimulation:</a> <a href="https://doi.org/10.6084/m9.figshare.14810478">https://doi.org/10.6084/m9.figshare.14810478</a></li> <li><a href="https://doi.org/10.6084/m9.figshare.14810442.v1">Voltage timeseries, spectrogram and behavior:</a> <a href="https://doi.org/10.6084/m9.figshare.14810442">https://doi.org/10.6084/m9.figshare.14810442.v1</a></li> </ul> <p> </p> <p>The full dataset is also provided in <a href="https://bids.neuroimaging.io/">BIDS</a> format here:</p> <ul> <li><a href="https://doi.org/10.18112/openneuro.ds003670.v1.1.0">Data in BIDS format:</a> https://doi.org/10.18112/openneuro.ds003670.v1.1.0</li> </ul> <p><strong>Data License </strong><br><a href="https://creativecommons.org/licenses/by/4.0/">Creative Common 4.0 with attribution (CC BY 4.0)</a></p> <p> </p> <p><strong>NOTE</strong></p> <p><strong>Please email ngebodh01@citymail.cuny.edu with any questions.</strong></p> <p> </p> <p><br><strong>Updates</strong></p> <ul> <li><strong>Version 2.1.0</strong> <ul> <li>Behavioral data (ptracker) adjusted for all files. Previous version had one participant's data overwriting all behavioral data when downsampled. Mat format now explicitly >v7.3 </li> </ul> </li> <li><strong>Version 2</strong> <ul> <li>Stimulation trigger labels now adjusted. Previous labels were missmatched for Experiment 1's data. </li> </ul> </li> </ul> <p> </p>
Bulk RNA Seq of Electrically Stimulated Retinal Organoids
<p>Considering the significant role played by both intrinsic and extrinsic electric fields in the growth and maturation of the central nervous system, the impact of short exposure to external electric fields on the development and differentiation of retinal organoids was investigated.Organoids derived from human embryonic stem cells at day 80, a critical time point in their differentiation and maturation, were used. A single 60-minute exposure to a distinct biphasic electrical field influenced neuronal development and increased the population of photoreceptors. Initial immunohistochemistry and qPCR studies confirmed the influence of electrical stimulation on the development and differentiation of various RO cell types. RNA sequencing data revealed elevated expression of rod photoreceptors, Müller cells, horizontal cells, and amacrine cells, alongside the downregulation of retinal pigment epithelium and retinal ganglion cell genes.Furthermore, our study demonstrated varying degrees of organoid development and maturation depending on the specific electrical field applied. These findings highlight the significant impact of extrinsic electrical fields on early retinal development and suggest that optimizing electrical field parameters could effectively address certain limitations in retinal organoid technology, potentially reducing the reliance on chemicals and small molecules.</p>
Dataset to the article "Omnidirectional endpoint force control through Functional Electrical Stimulation" by Marek Sierotowicz and Claudio Castellini
<p>The present .zip files contains the anonimized datasets of a static force output control test facilitated through FES.</p> <p>In addition, the DataExtraction MATLAB code is meant to provide the synchronisation offsets for the logs.</p> <p>The data is sampled from 3 anonymized participants, who all signed informed consent forms.</p> <p>The experiment was carried out in compliance with the standards of the Declaration of Helsinki, and was approved by the ethical committee of the Friedrich-Alexander Universität Erlangen-Nürnberg (approval ID 22-304-S).</p> <p> </p>
Non-invasive Cervical Electrical Stimulation for SCI
ClinicalTrials.gov study NCT03414424. IPD Sharing: YES. Countries: 1. Publications: 2.
Serial correlation of temporal pain intensities with beta-endorphin and meta-enkephalin concentrations, following Transcutaneous Electrical Nerve Stimulation among patients with chronic low back pain: a randomized controlled trial
<p>This is a dataset for the research that evaluate the responses of plasma beta-endorphin (βE), met-enkephalin (ME) and pain intensity (PI) among patients with chronic low back pain exposed to transcutaneous electrical nerve stimulation (TENS) = Group 1 or sham-TENS = Group 2.</p> <p>The dataset codes: TENS group = 1, Sham-TENS = 2, Sex: male = 1, female = 2, Baseline = before trial, Zero_Hr = immediately after trial, One_Hr = an hour after trial, TwentyFour_Hrs = 24 hrs after trial, FortyEight_Hrs = 48 hrs after trial.</p> <p>Variables labels: group, sex, age, pain duration, systolic blood pressure (SBP), diastolic blood pressure (DBP), resting heart rate (RHR), body temperature (Temp), beta-endorphin (BE), meta-enkephalin (ME), pain intensity (PI) measured with numeric pain scale.</p> <p>To describe time series, codes were combined with variable labels E.g. TwentyFour_Hrs_BE = bete endorphin concentration after 24 hrs of intervention.</p>
PsPM-SSNA_3: Skin conductance response to stimulation of the peripheral median nerve with electrical impulses
<p>This dataset includes skin conductance response (SCR) for each of 4 healthy unmedicated participants (4 females, age range 24-49 years) in response to repeated stimulation of the peripheral median nerve with single impulses at successively increasing frequencies. Prior to the experiment, mepivacaine was delivered to induce axillary nerve blockade.</p>
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation-Exp2-Data Downsampled
<p><strong>GX Dataset downsampled - Experiment 2</strong></p> <p>The GX Dataset is a dataset of combined tES, EEG, physiological, and behavioral signals from human subjects.<br>Here the GX Dataset for <strong>Experiment 2</strong> is downsampled to 1 kHz and saved in .MAT format which can be used in both MATLAB and Python.</p> <p><strong>Publication</strong></p> <p>A full data descriptor is published in <a href="https://doi.org/10.1038/s41597-021-01046-y">Nature Scientific Data</a>. <strong>Please cite this work as</strong>:</p> <blockquote> <p>Gebodh, N., Esmaeilpour, Z., Datta, A. et al. Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation. Sci Data 8, 274 (2021). https://doi.org/10.1038/s41597-021-01046-y</p> </blockquote> <p><strong>Descriptions</strong></p> <p>A dataset combining high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data includes within subject application of nine High-Definition tES (HD-tES) types targeted three brain regions (frontal, motor, parietal) with three waveforms (DC, 5Hz, 30Hz), with more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics.</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>Portions of this study were funded by X (formerly Google X), the Moonshot Factory. The funding source had no influence on study conduction or result evaluation. MB is further supported by grants from the National Institutes of Health: R01NS101362, R01NS095123, R01NS112996, R01MH111896, R01MH109289, and (to NG) NIH-G-RISE T32GM136499.</p> <p><strong>Extras</strong></p> <p>Back to <a href="https://doi.org/10.5281/zenodo.4456079">Full GX Dataset</a> : https://doi.org/10.5281/zenodo.4456079</p> <p> </p> <p>For downsampled data (1 kHz ) please see (in .mat format):</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.3840614">Experiment 1</a> : https://doi.org/10.5281/zenodo.3840614</li> <li><a href="https://doi.org/10.5281/zenodo.3840616">Experiment 2</a> : https://doi.org/10.5281/zenodo.3840616</li> </ul> <p> </p> <p>Code used to import, process, and plot this dataset can be found here:</p> <ul> <li><a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">GitHub</a> : <a href="https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior">https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior</a></li> </ul> <p> </p> <p>Additional figures for this project have been shared on Figshare. Trial-wise figures can be found here:</p> <ul> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_PSD/14810517">PSD</a>: <a href="https://doi.org/10.6084/m9.figshare.14810517.v1">https://doi.org/10.6084/m9.figshare.14810517.v1</a></li> <li><a href="https://figshare.com/articles/figure/Dataset_of_Concurrent_EEG_ECG_and_Behavior_with_Multiple_Doses_of_transcranial_Electrical_Stimulation-_Stimulation_Trials_Topoplots/14810478">Topoplots During Stimulation:</a> <a href="https://doi.org/10.6084/m9.figshare.14810478">https://doi.org/10.6084/m9.figshare.14810478</a></li> <li><a href="https://doi.org/10.6084/m9.figshare.14810442.v1">Voltage timeseries, spectrogram and behavior:</a> <a href="https://doi.org/10.6084/m9.figshare.14810442">https://doi.org/10.6084/m9.figshare.14810442.v1</a></li> </ul> <p> </p> <p>The full dataset is also provided in <a href="https://bids.neuroimaging.io/">BIDS</a> format here:</p> <ul> <li><a href="https://doi.org/10.18112/openneuro.ds003670.v1.1.0">Data in BIDS format:</a> https://doi.org/10.18112/openneuro.ds003670.v1.1.0</li> </ul> <p><strong>Data License </strong><br><a href="https://creativecommons.org/licenses/by/4.0/">Creative Common 4.0 with attribution (CC BY 4.0)</a></p> <p> </p> <p><strong>NOTE</strong></p> <p><strong>Please email ngebodh01@citymail.cuny.edu with any questions.</strong></p> <p> </p> <p> </p> <p><br><strong>Updates</strong></p> <ul> <li><strong>Version 2.1.0</strong> <ul> <li>Behavioral data (ptracker) adjusted for all files. Previous version had one participant's data overwriting all behavioral data when downsampled. Mat format now explicitly >v7.3 </li> </ul> </li> </ul>
Effect of percutaneous electrical stimulation with high-frequency alternating currents at 30 kHz on the sensory-motor system of healthy volunteers.
<p>Unmodulated high-frequency alternating currents (HFAC) are employed for producing peripheral nerves block. HFAC have been applied in humans with frequencies up to 20 kHz, whether transcutaneously, percutaneously, or via surgically-implanted electrodes. The aim of this study was to assess the effect of percutaneous HFAC, applied with ultrasound-guided needles at 30 kHz, on the sensory-motor nerve conduction of healthy volunteers.</p>
VERTEX simulator snapshot with pre-generated data and analysis scripts for electric field stimulation simulations
<p>This dataset contains a snapshot of the VERTEX Matlab toolbox for simulating spiking neural networks, along with Matlab files for pre-generated results from simulations run using VERTEX. The scripts and results files here are to accompany the manuscript 'Predicting the impact of electric field stimulation in a detailed computational model of cortical tissue' and pertain to simulations of electric field stimulation on a cortical tissue model. Analysis scripts for the simulation results along with scripts for setting up and running simulations are included.</p>
Research data of Calcium Imaging after electrical stimulation
<p>For intracellular calcium ions (Ca<sup>2+</sup>) mobilization analysis by Calcium Imaging, a human osteoblast-like cell line MG-63 (ATCC ®, CRL1427™) were used [1-3]. The MG-63 cell line has similar characteristics in terms of morphological behavior, adhesion and signaling properties as primary human osteoblasts [3]. Cells were cultured at 37 °C in a humidified atmosphere (5% CO<sub>2</sub>) in Dulbecco's modified eagle medium (DMEM; Gibco) containing 10% fetal calf serum (FCS; PAA Laboratories) and 1% antibiotic (gentamicin, Ratiopharm GmbH) [1-3]. Cells in the near-confluent state (70-80%) were used for the corresponding <em>in vitro</em> experiments. Therefore, cells were washed with PBS, trypsinized with 0.05% trypsin/0.02% EDTA (PAA) for 5 min and then treated with medium to stop the reaction. After centrifugation, 2x10<sup>6</sup> cells / 2ml were incubated shaking in complete medium at 37°C for a complete independent experiment. For the method, 2.5x10<sup>5</sup> cells were stained per electrical stimulation setup (non-stimulated, 1 V 7.9 Hz, 1 V 20 Hz, 5 V 7.9 Hz or 5 V 20 Hz). First, a wash step was performed with PBS, and after centrifugation, sedimented cells were stained with a membrane-permeable calcium indicator fluo-3/AM (Life Technologies Corporation; 5 μM) in slightly hypotonic 4-(2-hydroxyethyl)- 1-piperazineethanesulfonic acid (HEPES) buffer [1-3] shaking at 37°C. After incubation for 40 min, cells were centrifuged and then resuspended in 250 µl of isotonic HEPES. In a 12-well plate, 750 µl of isotonic HEPES was placed. Then the stained suspended cells were added, and immediately electrical stimulation by using IonOptix chamber was started under the LSM780 (Carl Zeiss). After 5 min of adhesion phase, the global calcium signal of the attaching cells was visualized using the inverted LSM 780 with a C Apochromat 40× water immersion objective. Fluo-3/AM dye was excited with the argon ion laser at 488 nm (emission at 515 nm). A full frame (512 x 512 pixels) at maximum pinhole aperture was evaluated using Zen2011 (black edition) software (Carl Zeiss) and "time series" mode. The first time series with electrical stimulation included 150 cycles each 2 s. After this time series (total electrical stimulation of 10 min), the electrical stimulation was stopped and a second time series without electrical stimulation was started. This second time series comprised 240 cycles every 2 s. After the 90th cycle of these series, fluo-3/AM stained cells were treated with 10 mM adenosine-triphosphate (ATP; SERVA). Mean fluorescence intensity of cells was evaluated using Zen2012 software (blue edition) and Mean ROI mode for defined areas of individual single cells [1-3].</p> <p>[1] Staehlke S, Koertge A, Nebe B (2015) Intracellular calcium dynamics dependent on defined microtopographical features of titanium. Biomaterials 46: 48–57.</p> <p>[2] Staehlke S, Rebl H, Finke B, Mueller P, Gruening M, Nebe JB (2018) Enhanced calcium ion mobilization in osteoblasts on amino group containing plasma polymer nanolayer. Cell Biosci 8: 22.</p> <p>[3] Staehlke S, Rebl H, Nebe B (2019) Phenotypic stability of the human MG-63 osteoblastic cell line at different passages. Cell Biol Int 43:22-32.</p>
Data from: Internal injuries in marine fishes caught in beam trawls using electrical versus mechanical stimulations
<p><span>To improve the ecological and economic sustainability in the Dutch beam trawl fishery, tickler chains were replaced by electrical pulse stimulation to drive sole (<em>Solea</em> <em>solea</em>) out of the seabed. Because electrical stimulation may cause internal injuries, we quantified this risk by sampling fish species from commercial beam trawlers and recording spinal injuries and haemorrhages from X-radiographs and autopsy. To distinguish mechanically and electrical-pulse-induced injuries, we compared injuries in ten species sampled from pulse (PUL) and tickler-chain (TCK) trawlers and four species sampled from PUL trawlers with the stimulus switched on or off. Co-occurrence of a major spinal injury and major haemorrhage at the same location was only observed in PUL samples, and were frequently (40%) observed in cod (<em>Gadus</em> <em>morhua</em>) and in low numbers (0–2%) in whiting (</span><span><em>Merlangius</em> <em>merlangus</em>)</span><span>, grey gurnard (<em>Eutrigla</em> <em>gurnardus</em>), and greater sandeel </span><span>(<em>Hyperoplus</em> <em>lanceolatus</em>),</span><span> but not in flatfishes and other species. In cod, injury occurrence correlated with fish length, with lower probabilities for small fish. Major spinal injury or major haemorrhage occurrence in PUL (range: <1–16%) was lower than in TCK (range: <1–42%) in eight of the ten species studied. Population-level consequences of pulse-induced injuries are considered negligible.</span></p>
Data_Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts
<p>This publication contains the original data supporting our results concerning the application of biphasic pulsed electrical stimulation on MG-63 cells. We aim to discriminate between effects of the electric field and electrochemically conditioned medium. The dataset consists of the original output files, excel sheets to consolidate the information for the experiments as well as Readme.txt files with most important information concerning the data. For additional information on the material and methods as well as results see the corresponding research article.</p>
Combined Peripheral (BreEStim) and Central Electrical Stimulation (tDCS) for Neuropathic Pain Management - Spinal Cord Injury
ClinicalTrials.gov study NCT03302793. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Early Neuromuscular Electrical Stimulation For Quadriceps Muscle Activation Deficits Following Total Knee Replacement
ClinicalTrials.gov study NCT00800254. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Non-Invasive Brain-Computer Interface Combined With Transcranial Electrical Stimulation for Peripheral Facial PalsyStimulation in the Treatment of Peripheral Facial Palsy
ClinicalTrials.gov study NCT07327710. IPD Sharing: NO. Countries: 1. Publications: 7.
ScienceDex guides
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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.