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57
datasets available to search
ShareScore release 0.9.0
Dataset results
57 results for “time window”
Extending the Time Window for Tenecteplase by Effective Reperfusion in Patients with Large Vessel Occlusion
ClinicalTrials.gov study NCT04454788. IPD Sharing: NO. Countries: 1. Publications: 2.
Basilar Artery Occlusion Chinese Endovascular Trial in the Extended Time Window
ClinicalTrials.gov study NCT06560203. IPD Sharing: NO. Countries: 1. Publications: 13.
Intravenous rhTNK-tPA Before Stroke Thrombectomy in the Extended Time Window
ClinicalTrials.gov study NCT06987305. IPD Sharing: YES. Countries: 1. Publications: 2.
EXtending the tIme Window of Thrombolysis by ButyphThalide up to 6 Hours After Onset (EXIT-BT)
ClinicalTrials.gov study NCT05189509. IPD Sharing: NO. Countries: 1. Publications: 1.
Mechanical Thrombectomy in Acute Ischemic Stroke Beyond the Time of Window
ClinicalTrials.gov study NCT04087382. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Collateral-based reSetting of Endovascular Treatment Time Window for Stroke (CoSETS)
ClinicalTrials.gov study NCT03234634. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Identifying the critical climatic time window that affects trait expression
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Problem instances for scheduling jobs with time windows on unrelated parallel machines
<p>The following dataset contains problem instances for the unrelated machine scheduling problem with job release dates and deadlines, which are used in the article "Tadumadze, G., Emde, S. & Diefenbach, H. Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines. <em>OR Spectrum</em> <strong>42, </strong>461–497 (2020). <a href="https://doi.org/10.1007/s00291-020-00586-w">https://doi.org/10.1007/s00291-020-00586-w</a>".</p> <p>The problem instances are stored in table “instances”, where the columns of the table can be interpreted as follows:</p> <p>Problem_ID: <Autonumber></p> <p>n: <number of jobs>;</p> <p>m: <number of machines>;</p> <p>w: <vector with n elements: the j-th element corresponds to the weight of job j>;</p> <p>r: <vector with n elements: the j-th element corresponds to the release date of job j>;</p> <p>d: <vector with n elements: the j-th element corresponds to the deadline of job j>;</p> <p>p: <n*m matrix: each entry in j-th column and i-th row corresponds to the processing time of job j on machine i>;</p> <p>The first 80 entries (Problem_ID between 1-80), contain discrete Berth-allocation problem instances, provided by “Jean-François Cordeau, Gilbert Laporte, Pasquale Legato, Luigi Moccia, (2005) Models and Tabu Search Heuristics for the Berth-Allocation Problem. Transportation Science 39(4):526-538. https://doi.org/10.1287/trsc.1050.0120” and additionally contain machine availability times, which are stored in the following columns:</p> <p>s: <vector with m elements: the i-th element corresponds to the start availability time of machine i>;</p> <p>e: <vector with m elements: the i-th element corresponds to the end availability time of machine i>;</p> <p>The following 270 entries (Problem_ID between 81-270) contain newly generated random problem instances with the instance generation scheme proposed by “Nicholas G. Hall, Marc E. Posner, (2001) Generating Experimental Data for Computational Testing with Machine Scheduling Applications. Operations Research 49(6):854-865. https://doi.org/10.1287/opre.49.6.854.10014”. The first 10 instances (Problem_ID between 81-90) are used for parameter tuning tests and the next 180 (Problem_ID between 91-270) instances for computational performance comparison.</p> <p>The last 30 entries (Problem_ID between 271-300) contain integrated truck and workforce scheduling problem instances with fixed workforce at each door, provided by “Giorgi Tadumadze, Nils Boysen, Simon Emde, Felix Weidinger (2019) Integrated truck and workforce scheduling to accelerate the unloading of trucks. European Journal of Operational Research 278(1):343-362. https://doi.org/10.1016/j.ejor.2019.04.024”.</p> <p>The detailed computational results for each instance, approach and objective function are reported in tables which are named with the following convention: "results_<approach>_<objective value>”.</p>
BBDD_Association between physical load in different time windows and hamstring injuries in elite football players
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Activin/Nodal signaling supports retinal progenitor specification in a narrow time window during pluripotent stem cell differentiation to anterior neuroectoderm
GEO Series GSE71830. Mus musculus. 8 samples. Type: Expression profiling by array.
Single nucleus transcriptomics: Apical resection in newborn pigs extends the time-window of cardiomyocyte proliferation and myocardial regeneration
GEO Series GSE185289. Sus scrofa. 56 samples. Type: Expression profiling by high throughput sequencing.
Time-resolved transcriptome analysis with genetic perturbations reveals a critical time window for effective plant immunity
GEO Series GSE88798. Arabidopsis thaliana. 366 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of transplanted vascular organoid grafts under cranial window at the time of thrombosis after SARS-CoV-2 spike-ECD infusion
GEO Series GSE235232. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
BisPCRSeq analysis of ribosomal DNA in mouse sperm exposed to protein restriction during different critical time windows
GEO Series GSE107540. Mus musculus. 64 samples. Type: Methylation profiling by high throughput sequencing.
Differential effects of different time windows of postnatal perfluorooctane sulfonate exposure on cognitive development in mouse hippocampus
GEO Series GSE277523. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
small RNA-seq analysis of mouse sperm exposed to protein restriction during different critical time windows
GEO Series GSE107539. Mus musculus. 38 samples. Type: Non-coding RNA profiling by high throughput sequencing.
PSMA-Targeted Intraoperative Fluorescent Imaging Agents (DGPR1008): Validation Across Different Time Windows
ClinicalTrials.gov study NCT07387510. IPD Sharing: YES. Countries: 1. Publications: 0.
Phase III Clinical Trial of rhTNK-tPA in Treating Acute Ischemic Stroke With Extended Time Window.
ClinicalTrials.gov study NCT07201688. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Therapeutic Time Window of Mannitol During Craniotomy for Optimal Brain Relaxation in Patients With Supratentorial Tumours
ClinicalTrials.gov study NCT03444519. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Measuring Time Windows in Patients With Schizophrenia and Healthy Controls
ClinicalTrials.gov study NCT00350805. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.