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ShareScore release 0.9.0
Dataset results
14 results for “EVEReSt”
Data file for: Electrical imaging for the subduction channel north of Mount Everest
<p>The magnetotellurics data were used to study the the subduction channel north of Mount Everest, conducted by Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences. The data file of zf.dat was generated by the Matlab code EM3DVP.</p> <p>You are recommended to refer to the Kelbert et al., 2014 paper: https://doi.org/10.1016/j.cageo.2014.01.010 for a brief understanding of the data file formats.</p>
Database for EVEREST (pipEline for Viral assEmbly and chaRactEriSaTion).
<p>Database for EVEREST (pipEline for Viral assEmbly and chaRactEriSaTion).</p> <p>Funding Statement:</p> <p>This work was supported by the National Health and Medical Research Council of Australia, Synergy grant (APP1183640).</p>
Datasets associated with "Quantifying debris thickness of debris-covered glaciers in the Everest region of Nepal through inversion of a sub-debris melt model"
<p>Datasets that accompany "Quantifying debris thickness of debris-covered glaciers in the Everest region of Nepal through inversion of a sub-debris melt model". These datasets include the debris thickness estimates derived including and excluding ponds (denoted as wponds and noponds, respectively), flux divergences, the shapefile of the 600 m boxes, the master 10 m DEM, the median x and y velocities, and the change in elevation for each pair of DEMs used in the study for Ngozumpa, Khumbu, and Imja-Lhotse Shar Glaciers. Debris thickness is in units of meters. Flux divergence is in units of meters per year. A negative flux divergence means the box is gaining mass and is called the emergence velocity; while positive flux divergence means the box is losing mass and is called the submergence velocity.</p>
EVEREST II Pivotal Study High Risk Registry (HRR)
ClinicalTrials.gov study NCT01940120. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Simulation outputs associated to the study: "Brief communication: Everest South Col Glacier did not thin during the last three decades" by Brun et al.
<p>This folder contains the outputs of the South Col Glacier mass balance simulations used in the study: "Brief communication: Everest South Col Glacier did not thin during the last three decades" by Brun et al., submitted to The Cryophere Journal in August 2022. The simulation outputs are obtained with two different models: COSIPY (Sauter et al., 2010) and Crocus (Vionnet et al., 2012). Note that forcing and initialization information are provided to reproduce Crocus simulations.</p>
Everest Model Output Statistics: improved wind speed forecasts
<p>Data and pre-trained random forest models necessary to correct GFS forecast data and produce improved Everest Forecasts.</p> <p>Please find the associated code at: github.com/MaxVWDV/Everest_wind_forecast</p>
Evaluation of Fusion Rate Using K2M VESUVIUS® Demineralized Fibers With K2M EVEREST® Spinal System
ClinicalTrials.gov study NCT02064855. IPD Sharing: Not stated. Countries: 0. Publications: 7.
EVEREST: Efficacy of Vasopressin Antagonism in hEart failuRE: Outcome Study With Tolvaptan
ClinicalTrials.gov study NCT00071331. IPD Sharing: Not stated. Countries: 18. Publications: 12.
Endoscopic Severity Image Recognition to Advance Research and Training in Inflammatory Bowel Disease (EVEREST - IBD)
ClinicalTrials.gov study NCT04867408. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
EVEREST-HN 1: EVolution of a patiEnt-REported Symptom-based Risk Stratification sySTem
ClinicalTrials.gov study NCT05909020. IPD Sharing: NO. Countries: 1. Publications: 0.
A Long-term Follow up Study of EXG102-031 in Patients With wAMD (Everest LTFU)
ClinicalTrials.gov study NCT06817343. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of EXG102-031 in Patients With wAMD (Everest)
ClinicalTrials.gov study NCT05903794. IPD Sharing: NO. Countries: 1. Publications: 0.
Modulation of apple leaf trancriptome by Erwinia amylovora infection in Evereste (resistant) and MM106 (susceptible) genotypes
GEO Series GSE262535. Malus domestica. 30 samples. Type: Expression profiling by high throughput sequencing.
Comparison of gene expression in whole blood of mice subjected to hypobaric hypoxia at Mt. Everest in vivo.
GEO Series GSE15901. Mus musculus. 8 samples. Type: Expression profiling by array.
ScienceDex guides
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.