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.
601
datasets available to search
ShareScore release 0.9.0
Dataset results
601 results for “Withdrawal”
Large Ensemble Dataset for Discovering Global Peak Water Limit of Future Groundwater Withdrawals Using 900 GCAM Runs
<h2><strong>Global Groundwater Withdrawals Peak Over the 21st Century </strong></h2> <p>The large ensemble dataset contains groundwater related model outputs from 900 scenarios modeled using <a href="http://jgcri.github.io/gcam-doc/toc.html">Global Change Analysis Model (GCAM)</a>. The scenario ensemble members include five Shared Socioeconomic Pathways (SSPs), four Representative Concentration Pathways (RCPs), five global climate model outputs, three groundwater depletion limits, two surface water storage expansion regimes, and two historical groundwater depletion trends.</p> <h3><strong>Journal Article</strong></h3> <p>Niazi, H., Wild, T.B., Turner, S.W.D., Graham, N.T., Hejazi, M., Msangi, S., Kim, S., Lamontagne, J.R., & Zhao, M. (2024). <a href="https://rdcu.be/dFpb5">Global peak water limit of future groundwater withdrawals</a>. <em>Nature Sustainability, 7</em>(4), 413–422. <a href="https://doi.org/10.1038/s41893-024-01306-w" rel="nofollow">https://doi.org/10.1038/s41893-024-01306-w</a></p> <p>Read full-text here: <a href="https://rdcu.be/dFpb5">https://rdcu.be/dFpb5</a> </p> <h3><strong>Data Repository </strong></h3> <p>This <em><strong>data</strong></em> repository is to be used in combination with the <em><strong>main</strong></em> <a href="https://github.com/JGCRI/niazi-etal_2024_nature-sustainability">meta-repository</a> containing all scripts and files for reproducing the experiment as well as the analysis and post-processing of the model outputs.</p> <p>Scripts and smaller files are provided in the <a href="https://github.com/JGCRI/niazi-etal_202X_xyz">GitHub meta-repository</a> whereas larger files are provided in this data repository. Please complete the repository by placing the files as described hereunder. Please find the GitHub meta-repository here: <a href="https://github.com/JGCRI/niazi-etal_2024_nature-sustainability">https://github.com/JGCRI/niazi-etal_2024_nature-sustainability</a></p> <p>Descriptions of files:</p> <ol> <li><em><strong>gcam-5.7z</strong></em> contains the GCAM version used to simulate 900 scenarios of plausible futures. The model folder contains all necessary input files to reproduce the simulations. <ul> <li>The model is to be used in combination with the <a href="https://github.com/JGCRI/niazi-etal_2024_nature-sustainability">meta-repository</a> to setup batch runs on cluster.</li> <li>Please navigate to <a href="https://github.com/JGCRI/niazi-etal_202X_xyz/tree/main/model">model/</a> folder for other scenario-specific and model setup folders and files. <em><strong>gcam-5</strong></em> is to be extracted in the same directory (./<em>model/gcam-5/</em>). </li> <li>For the first-time users of GCAM, please follow guidance on <a href="http://jgcri.github.io/gcam-doc/toc.html">GCAM wiki</a> to setup GCAM or for background knowledge. </li> </ul> </li> <li><em><strong>crop_yeild.7z</strong></em>: This file contains inputs related to climate impacts on crop yields. This is to be downloaded and extracted in the <a href="https://github.com/JGCRI/niazi-etal_202X_xyz/tree/main/model/combined_impacts">model/combined_impacts/</a> folder. </li> <li><em><strong>outputs-all.7z: </strong></em>Key model outputs queried and collated from 900 GCAM runs are explained hereunder. The files could be downloaded individually (.csv files) or all at once in .7z format (<a href="../api/files/80b237d3-b22f-499f-8b8e-76c3846720a0/outputs-all.7z">outputs-all.7z</a>). These files are to be placed in the <a href="https://github.com/JGCRI/niazi-etal_202X_xyz/tree/main/model/outputs">model/outputs</a> folder of the <a href="https://github.com/JGCRI/niazi-etal_2024_nature-sustainability">meta-repository</a>. <ul> <li><em><strong>ag_prod_all_GW_scenarios.csv</strong></em> - Agricultural production across all scenario for 2050 and 2100 (tonnes)</li> <li><em><strong>prices_water_withdrawal_all.csv</strong> - </em>Water prices across all scenarios and years ($/km<sup>3</sup>)</li> <li><em><strong>global_irrigated_prod_by_crop.csv</strong></em> - All irrigated agricultural production for each crop across and scenarios all years (tonnes)</li> <li><em><strong>surface_water_production_all.csv</strong></em> - Runoff across all scenarios and years (km<sup>3</sup>)</li> <li><em><strong>groundwater_production_FINAL.csv</strong></em> - Groundwater withdrawals across all scenarios and years (km<sup>3</sup>)</li> <li><em><strong>water_withdrawals_desal_all.csv</strong></em> - Water withdrawals from desalination plants across all scenarios and years (km<sup>3</sup>)</li> </ul> </li> </ol> <h3><strong>Short introduction to the study</strong></h3> <p>Using 900 GCAM runs, this study finds that global groundwater withdrawals are expected to peak around mid-century, followed by a decline through 21st century, exposing about half of the population living in one-third of basins to groundwater stress, with cost and availability of surface water storage being the most significant driver of future groundwater withdrawals. This first-ever robust, quantitative confirmation of the peak-and-decline pattern for groundwater, previously only known for fossil fuels and minerals, raises concerns for basins heavily dependent on groundwater.</p> <p>Niazi, H., Wild, T.B., Turner, S.W.D., Graham, N.T., Hejazi, M., Msangi, S., Kim, S., Lamontagne, J.R., & Zhao, M. (2024). <a href="https://rdcu.be/dFpb5">Global peak water limit of future groundwater withdrawals</a>. <em>Nature Sustainability, 7</em>(4), 413–422. <a href="https://doi.org/10.1038/s41893-024-01306-w" rel="nofollow">https://doi.org/10.1038/s41893-024-01306-w</a></p> <p>Read full-text here: <a href="https://rdcu.be/dFpb5">https://rdcu.be/dFpb5</a></p> <h3><strong>Contact </strong></h3> <p>Please reach out to Hassan Niazi at <a href="mailto:hassan.niazi@pnnl.gov">hassan.niazi@pnnl.gov</a> for any questions. </p>
Global monthly sectoral water withdrawal and allocation datasets (QUAlloc, water use and allocation model) at 10 km spatial resolution
<p>Output data of water withdrawals and water allocation per water source from the sectoral water use and allocation model (QUAlloc).</p> <p>Dataset properties:</p> <ul> <li>spatial resolution: 10 km (global-scale)</li> <li>temporal resolution: monthly time-step</li> <li>period: 1980 - 2019</li> <li>units: m3/month</li> </ul> <p>Output datasets:<br> <data_type>_<sector_name>_allocated_to_<source_type>_monthlyTot_1980_2019.nc</p> <ul> <li><data_type><br> <ul> <li>"withdrawal": refers to the water that is withdrawn at a water source level to satisfy the demands within an allocation zone</li> <li>"demand": refers to the withdrawn water that is supplied to each location (cell) where there are demands to satisfy</li> </ul> </li> <li><sector_name> <ul> <li>"domestic"</li> <li>"irrigation"</li> <li>"livestock"</li> <li>"manufacture"</li> <li>"thermoelectric"</li> </ul> </li> <li><source_type> <ul> <li>"renewable_surfacewater": refers to water obtained from the surface water system components (e.g., direct runoff, base flow, interflow, etc.)</li> <li>"renewable_groundwater": refers to water obtained from aquifers that are recharged by percolation from the upper soil layers</li> <li>"nonrenewable_groundwater": refers to water obtained from aquifers not replenished on a human time scale</li> </ul> </li> </ul> <p>The sectoral water use and allocation model used, QUAlloc, can be found at: https://github.com/SustainableWaterSystems/QUAlloc.</p>
Data from Time since liver transplantation and immunosuppression withdrawal outcomes: a systematic review with individual patient data meta-analysis
<p>This record provides one CSV file containing anonymized individual patient data (IPD) of pre-withdrawal times (in days) of liver transplant recipients that underwent immunosuppression (IS) withdrawal. Collection and publication of anonymized data was approved by the Ethics Committee Northwest and Central Switzerland. Patients of 15 primary studies are stratified by successfully reaching the state of IS-free operational tolerance (OT) or by developing signs of immunological rejection (non-OT).</p>
Downscaled and bias corrected 10 km water withdrawal of China, 1981-2010
<p>This dataset contains</p> <p>(1) MonthlyDomIndcon_CN_0.1deg_1981-2010.nc -- the 0.1° gridded monthly domestic & industrial water consumption of China</p> <p>(2) MonthlyDomInduse_CN_0.1deg_1981-2010.nc -- the 0.1° gridded monthly domestic & industrial water withdrawal of China</p> <p>(3) MonthlyIrrigation_CN_0.1deg_1981-2010.nc -- the 0.1° gridded monthly irrigation water withdrawal of China</p> <p>These data are first spatially downscaled from Huang et al. (2018) (https://doi.org/10.5281/zenodo.1209296) based on population density, GDP and irrigation area, and then bias corrected against provincial-level statistics published by local water agencies. Refer to Huang et al. (2018) and Dong et al. (2022) for more details.</p> <p>Dong, N., Wei, J., Yang, M., Yan, D., Yang, C., Gao, H., et al. (2022). Model estimates of China's terrestrial water storage variation due to reservoir operation. Water Resources Research, 58, e2021WR031787. <a href="https://doi.org/10.1029/2021WR031787">https://doi.org/10.1029/2021WR031787</a></p>
Source Data for Published Study "Are changes in nociceptive withdrawal reflex magnitude a viable central sensitization proxy? Implications of a replication attempt"
<p>Upload version NWR_v01_20230409</p> <p>Authors: Alexandros Guekos, Alince Catrine Grata, Michèle Hubli, Martin Schubert, and Petra Schweinhardt</p> <p>The present data was collected from August to October 2019 as part of a replication attempt of a previously published study (Ellrich, J., and R-D. Treede. "Convergence of nociceptive and non-nociceptive inputs onto spinal reflex pathways to the tibialis anterior muscle in humans." Acta physiologica scandinavica 163.4 (1998): 391-401, https://doi.org/10.1046/j.1365-201X.1998.t01-1-00392.x). </p> <p>The results of the replication study have been published under open access (Guekos, A., et al. "Are changes in nociceptive withdrawal reflex magnitude a viable central sensitization proxy? Implications of a replication attempt" Clinical Neurophysiology 145 (2023): 139-150, https://doi.org/10.1016/j.clinph.2022.09.011).</p> <p>Details of the paradigm, the experimental setup, and the analysis can be found there.</p> <p>In brief, 16 healthy adults (8 men and 8 women) underwent a single experimental session during which a tonic heat stimulus was applied on one leg to the foot sole and on the other to the calf muscle. Both legs were tested consecutively in pseudorandom order. Concurrently, subjects received transcutaneous electrical stimuli to elicit the nociceptive withdrawal reflex (NWR). The muscle responses were recorded via surface electromyography (sEMG) from the biceps femoris (BF), rectus femoris (RF), and tibialis anterior (TA).</p> <p>The protocol consisisted of eight blocks per leg. During the first two blocks no temperature stimulation was applied. These two blocks served to identify the NWR threshold at the BF. For threshold determination, a single ascending staircase with either single electrical stimulations or triplets (at 2Hz) were used. From the triplets, only the muscle response to the third stimulation was analysed. The higher of the two obtained currents was used as the threshold. The following six blocks used six different temperatures (one per block) of 32, 36, 39, 42, 45 and 46 centigrade. During each block eight transcutaneous electrical stimuli were applied, either to the medial plantar nerve (MP) on the foot sole or to the retromalleolar pathway of the sural nerve (SU). The stimulations increased from -4 mA w.r.t. threshold to 200% threhold. Participants verbally rated perceived pain for every stimulation during these six blocks.</p> <p>Every electrical stimulation consisted of a train of five rectangular stimuli of 1 ms duration delivered at 200 Hz. Muscle responses were recorded from 120 pre- to 380 ms post-stimulation. The recorded sEMG signals were sampled at 48 kHz and downsampled to 6 kHz, rectified, band-pass filtered from 10 Hz to 500 Hz and amplified up to 125 times. Between 120 ms pre- and 380 ms post-stimulation, traces for all applied stimulations were automatically saved into separate txt files.</p> <p>Please consult the README.txt file for details on the structure of the uploaded data and for information w.r.t. potential instances of incompleteness or unusability.</p> <p>The study was funded by the Swiss National Science Foundation as part of a grant to PS (grant number 320030_179191/1).</p>
A Global Gridded Municipal Water Withdrawal Estimation Method Using Aggregated Data and Artificial Neural Network
<p>Global gridded municipal water withdrawal estimations for the following WST paper.</p> <p>Jiabao Yan, Shaofeng Jia; A global gridded municipal water withdrawal estimation method using aggregated data and artificial neural network. <em>Water Science Technology</em>, 2023; 87 (1): 251–274. <a href="https://doi.org/10.2166/wst.2022.399" target="_blank" rel="noopener">https://doi.org/10.2166/wst.2022.399</a></p> <p>The representative year of the data is 2015, and the unit of the data is in millimeters (mm).</p>
Dataset: Effect of water withdrawal on the appearance and sound level of waterfalls
<p>This dataset includes discharge, water-covered area, sound intensity, and extent values of water withdrawal of 15 waterfalls in Switzerland, Austria, and Norway.</p>
Efficacy and Safety of Aliskiren 300 mg Compared to Telmisartan 80 mg After 1 Week of Treatment Withdrawal
ClinicalTrials.gov study NCT00865020. IPD Sharing: Not stated. Countries: 16. Publications: 3.
Etanercept Withdrawal And Retreament Study In Subjects With Nr-ax SpA
ClinicalTrials.gov study NCT02509026. IPD Sharing: YES. Countries: 14. Publications: 1.
A Study With a Initial Treatment Period Followed by a Randomized-withdrawal Period to Evaluate the Efficacy and Safety of Bimekizumab in Adult Subjects With Moderate to Severe Chronic Plaque Psoriasis
ClinicalTrials.gov study NCT03410992. IPD Sharing: NO. Countries: 9. Publications: 7.
Efficacy, Safety, and Withdrawal and Retreatment With Brodalumab in Moderate to Severe Plaque Psoriasis Subjects
ClinicalTrials.gov study NCT01708590. IPD Sharing: YES. Countries: 6. Publications: 1.
Medication-overuse Headache (MOH): Withdrawal or Use of Preventative Medications Directly?
ClinicalTrials.gov study NCT00159588. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Gradual Withdrawal of Immune System Suppressing Drugs in Patients Receiving a Liver Transplant
ClinicalTrials.gov study NCT00135694. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Oral Cannabidiol for Opioid Withdrawal
ClinicalTrials.gov study NCT04238754. IPD Sharing: NO. Countries: 1. Publications: 0.
Methotrexate Withdrawal Study of Tofacitinib Modified Release Formulation in Subjects With Rheumatoid Arthritis
ClinicalTrials.gov study NCT02831855. IPD Sharing: YES. Countries: 16. Publications: 24.
Immune Monitoring and CNI Withdrawal in Low Risk Recipients of Kidney Transplantation
ClinicalTrials.gov study NCT01517984. IPD Sharing: Not stated. Countries: 2. Publications: 1.
A Phase III, Multicentre, Double-Blind, Placebo-Controlled Withdrawal Study in Patients With Hyperphosphatemia
ClinicalTrials.gov study NCT00416520. IPD Sharing: Not stated. Countries: 11. Publications: 1.
Inhaled Corticosteroid Withdrawal in Patients With Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT00975195. IPD Sharing: Not stated. Countries: 23. Publications: 4.
Withdrawal Study of Memantine in Pediatric Patients With Autism, Asperger's Disorder, or Pervasive Developmental Disorder Not Otherwise Specified Previously Treated With Memantine
ClinicalTrials.gov study NCT01592747. IPD Sharing: Not stated. Countries: 15. Publications: 2.
A Study of Guselkumab in the Treatment of Participants With Moderate to Severe Plaque-Type Psoriasis With Randomized Withdrawal and Retreatment
ClinicalTrials.gov study NCT02207244. IPD Sharing: Not stated. Countries: 9. Publications: 10.
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.