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datasets available to search
ShareScore release 0.9.0
Dataset results
53 results for “Git”
Study Evaluating the Efficacy of Nifedipine GITS - Telmisartan Combination in Blood Pressure Control.
ClinicalTrials.gov study NCT00750113. IPD Sharing: Not stated. Countries: 2. Publications: 1.
COVID-19 Disease Duration and GIT Manifestations. A New Disease Severity Classification. An Egyptian Experience
ClinicalTrials.gov study NCT04554979. IPD Sharing: NO. Countries: 1. Publications: 12.
Git Truck appendix. Survey results
<p>The survey results from the Git Truck research projects</p>
Endoscopic Findings in Patients With Upper GIT Bleeding
ClinicalTrials.gov study NCT06886880. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Sedation in Patients Undergoing GIT Endoscopy
ClinicalTrials.gov study NCT05880459. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
Prevalence of IEM Among Upper GIT Symptoms
ClinicalTrials.gov study NCT05913011. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Comparison Between Intraperitoneal Versus Intramuscular Neostigmine on Pattern of Postoperative GIT Motility in Patients Undergoing Laparoscopic Cholecystectomy
ClinicalTrials.gov study NCT03505255. IPD Sharing: Not stated. Countries: 0. Publications: 8.
Conventional VS Enhanced Recovery After Surgery Protocols in Emergency GIT Surgery
ClinicalTrials.gov study NCT04584060. IPD Sharing: YES. Countries: 0. Publications: 8.
The Effect of Early Enteral Feeding on Neonates After GIT Surgery
ClinicalTrials.gov study NCT04318353. IPD Sharing: Not stated. Countries: 0. Publications: 2.
A Post Marketing Surveillance Study Of Doxazosin Mesylate GITS Among Filipino Patients With Benign Prostatic Hyperplasia (BPH)
ClinicalTrials.gov study NCT01003886. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Liberal Versus Restrictive Transfusion Strategy in Patients With Upper Git Bleeding
ClinicalTrials.gov study NCT06996613. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
GAP: Forecasting Commit Activity in git Projects
<p>This entry contains the replication package for our paper <em>GAP: Forecasting Commit Activity in git Projects</em> accepted for publication in Journal of Systems and Software.</p> <p>Abandonment of active developers poses a significant risk for many open source software projects. This risk can be reduced by forecasting the future activity of contributors involved in such projects. Focusing on the commit activity of individuals involved in git repositories, this paper proposes a practicable probabilistic forecasting model based on the statistical technique of survival analysis. The model is empirically validated on a wide variety of projects accounting for 7,528 git repositories and 5,947 active contributors. We found that a model based on the last 20 observed days of commit activity per contributor provides the best concordance. We also found that the predictions provided by the model are generally close to actual observations, with slight underestimations for low probability predictions and slight overestimations for higher probability predictions. This model is implemented as part of an open source tool, called gap, that predicts future commit activity.</p> <p><strong>Replication package</strong></p> <p>The model is explained and defined in <em>"notebooks/Survival analysis.ipynb"</em>. This is a Jupyter notebook created with Jupyter Lab. The dependencies required to run this notebook are listed in <em>requirements.txt</em> and can be automatically installed using <code>pip install -r requirements.txt</code>. Consider making use of a virtual environment to ensure a proper replication of the analyses.</p> <p>The data used to validate the model can be found in <em>data/cargo.csv.gz</em>. They were produced with the script <em>data/convert.py</em> that requires file <em>data-raw/cargo_all_proj_commits_id.csv.gz</em>. This file was created by retrieving all the commits of all projects hosted on github that are related to a project distributed on Cargo. To identify such projects, we relied on libraries.io dataset. GitHub API was then queried to obtain the username of each author (if available) to allow some basic identity merging task. Data about repositories were extracted from libraries.io 1.4.0 dataset and can be found in <em>data/repositories.csv.gz</em>.</p> <p><strong>The GAP tool</strong></p> <p>GAP is made available on <a href="https://github.com/AlexandreDecan/gap">https://github.com/AlexandreDecan/gap</a></p>
Prevalence of Gastroesophageal Reflux Disease (GERD) in Patients With Upper Gastrointestinal Track (GIT) Symptoms in Thailand
ClinicalTrials.gov study NCT00999063. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy of Coffee Versus Peppermint Oil Intake in Promoting GIT Motility After Cesarean Section
ClinicalTrials.gov study NCT04110600. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Vardenafil on Blood Pressure in Patients With Erectile Dysfunction Who Received Concomitant Doxazosin GITS
ClinicalTrials.gov study NCT00517179. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dexamethasone, Dexmedetomidine and Their Combination on Post op. GIT Function Measured by I-FFED Score Post Laparoscopic Cholecystectomy
ClinicalTrials.gov study NCT07329933. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation Of The Efficacy And Safety Of The Doxasozin Gastrointestinal Therapeutic System (GITS) In Patients With Prostate Enlargement
ClinicalTrials.gov study NCT00648323. IPD Sharing: Not stated. Countries: 1. Publications: 0.
HALP as a Novel Score for Prediction of Mortality and re_bleeding in Upper GIT Bleeding
ClinicalTrials.gov study NCT07114042. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Randomized Trial Comparing Terazosin 5 mg Daily and Doxazosin GITS 4 mg Daily for Trial Without Catheter in Acute Urinary Retention With Long Term Follow up
ClinicalTrials.gov study NCT00563485. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Local GIT Hormones After Bariatric Maneuvers
ClinicalTrials.gov study NCT04414072. IPD Sharing: YES. 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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.