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36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “Code validation”
Adversarial Validation for quantifying dissimilarity experiments datasets and codes (new)
<p>Readme.txt describes how to conduct the code.</p> <p>This rar/zip file includes all materials of Adversarial Validation for quantifying dissimilarity experiments. </p> <p>They are ordered by the first number of folder's name.</p> <p>In each folder, the order of running code scripts are labeled by the first number of code's name.</p>
CRM Variance Transport validation in E3SM-MMF - analysis code and condensed data
<p>This tarball contains a collection of code and data used to performa a detailed analysis of the CRM variance transport feature added to E3SM-MMF. The data subset is condensed from the model output and observational datasets, so the ability to reproduce results directly is limited, but this archive mainly serves to document the methods used for our analysis. </p>
The Data and Codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en)
<p>Note: the monthly averaged NCAM, SPCAM, and CAM5 results are uploaded as *_h0.tar.gz!</p> <p>The data and codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en) are stored in this repositary.</p> <p>This project is built on python3.7 and tensorflow-gpu2.3.0, and the scripts for analysis and plots are on jupyter-notebook.</p> <p>Please make sure to install all python packages used in an environment.</p> <p>Please read the ReadME-2.txt.</p> <p>For the entire training and testing datasets in both the baseline and +4K SST climates. Please download them from Dryad (<a href="https://doi.org/10.6075/J0CZ35PP">https://doi.org/10.6075/J0CZ35PP</a> and https://doi.org/10.6075/J03J3BGF), Onedrive (https://1drv.ms/u/s!ArKTPPs6U_9DjxPJeSReKlbsLzyh?e=PDlWYJ), and Dropbox (https://www.dropbox.com/s/yc4fx35laqwt0fu/SPCAM_ML_4K.tar.gz?dl=0 and https://www.dropbox.com/s/4pxahzwt9v55u2m/SPCAM_ML_RAD.tar.gz?dl=0).</p>
Prospective Validation of the CoDE-HF Algorithm for the Diagnosis of Acute Heart Failure
ClinicalTrials.gov study NCT05518396. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Code and Data for Digitization and validation of a chemical synthesis literature database in the ChemPU
<p>Code and data associated with paper. Code can be used for non commerical and academic use. </p>
Spatial Plus Cross-Validation experiments datasets and codes (new)
<p>This rar/zip file includes all materials of Spatial Plus Cross-Validation experiments. </p> <p>They are ordered by the first number of folder's name.</p> <p>In each folder, the order of running code scripts are labeled by the first number of code's name.</p>
Validation of Chlamydia Diagnostic Codes in TriNetX US EHR Data
ClinicalTrials.gov study NCT07094373. IPD Sharing: YES. Countries: 1. Publications: 0.
Study to Validate Coded Medical Terms Used to Identify Opioid-Related Overdose in Databases Used for PMR Study 1B
ClinicalTrials.gov study NCT02667197. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Numerical Simulations of Laboratory-Scale, Hypervelocity-Impact Experiments for Asteroid-Deflection Code Validation
Open the record for dataset details and reuse information.
Peripheral blood non-canonical small non-coding RNAs as novel biomarkers in lung cancer and pulmonary tuberculosis (validation cohort)
GEO Series GSE148862. Homo sapiens. 35 samples. Type: Non-coding RNA profiling by high throughput sequencing.
[miRNA Validation Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy
GEO Series GSE26247. Homo sapiens. 96 samples. Type: Non-coding RNA profiling by array.
[Gene Expression Validation Set] Protein-coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy
GEO Series GSE26242. Homo sapiens. 96 samples. Type: Expression profiling by array.
Prospective Validation of the Prognostic Value of Long Non-coding MFI2-AS1 RNA in Localized Clear Cell Kidney Cancers
ClinicalTrials.gov study NCT04946266. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022.
<p>Validation dataset and reference code for <strong>Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022</strong>. </p> <p>Please refer to our website: <strong>https://vessel-wall-segmentation-2022.grand-challenge.org/</strong>.</p>
Dataset related to article: SENSE OF OWNERSHIP INFLUENCE ON TACTILE PERCEPTION: IS THE PREDICTIVE CODING ACCOUNT VALID FOR THE SOMATIC RUBBER HAND ILLUSION?
<p><strong><span>Table including demographic data (sex, age, and education), Laterality Quotient score, Proprioceptive drift data, Body Ownership Questionnaire data, and Two-Point Discrimination score</span></strong></p>
Artifacts for Code Coverage Profiler Validation with Debugging Support
<p><strong>Code Coverage Profiler Validation with Debugging Support</strong></p> <p>Table of Contents</p> <ul> <li>Background</li> <li>Install</li> <li>Usage</li> <li>Experiment</li> <li>Violations</li> <li>Bugs</li> </ul> <p><strong>Background</strong></p> <p><strong>DeCov</strong> is the tool for code coverage profiler validation with debugging support. We totally submit 24 bug reports for gcov and llvm-cov. Of these 24 bug reports, 18 are confirmed/fixed by developers, 2 are marked as duplicate, and the other 4 bug reports are waiting for the developers' confirmation.</p> <p><strong>Install</strong></p> <p>This project uses <a href="https://gcc.gnu.org/">gcc</a>, <a href="http://www.gnu.org/software/gdb/">gdb</a>, <a href="http://llvm.org/">llvm</a> and <a href="http://lldb.llvm.org/">lldb</a>. Go check them out if you don't have them locally installed.</p> <p><code>apt install gcc gdb llvm lldb </code></p> <p><strong>Usage</strong></p> <p>To use DeCov for gcov validation:</p> <p><code>python3 decov-gcov-pexpect.py -s test.c </code></p> <p>or</p> <p><code>python3 decov-gcov-pexpect.py -s testprograms </code></p> <p>To use DeCov for llvm-cov validation:</p> <p><code>python3 decov-llvmcov-pexpect.py -s test.c </code></p> <p>or</p> <p><code>python3 decov-llvmcov-pexpect.py -s testprograms </code></p> <p><strong>Experiment</strong></p> <p>First, download the gcc-10.1.0.tar.xz:</p> <p><code><code>wget http://ftp.gnu.org/gnu/gcc/gcc-10.1.0/gcc-10.1.0.tar.xz </code></code></p> <p>Then, unzip gcc-10.1.0:</p> <p><code>tar -xvf gcc-10.1.0.tar.xz </code></p> <p>Finally, run Decov over the testsuite of gcc-10.1.0:</p> <p><code>python3 decov-gcov-pexpect.py -s gcc-10.1.0/gcc/testsuite/ </code></p> <p>or</p> <p><code>python3 decov-llvmcov-pexpect.py -s gcc-10.1.0/gcc/testsuite/ </code></p> <p>Note that, we recommend to use the parallel option when using our tool if your computer has multi-cores:</p> <p><code>python3 decov-gcov-pexpect.py --parallel -s gcc-10.1.0/gcc/testsuite/ </code></p> <p>or</p> <p><code>python3 decov-llvmcov-pexpect.py --parallel -s gcc-10.1.0/gcc/testsuite/ </code></p> <p><strong>Violations</strong></p> <p>Experimental data are in the Expr folder:</p> <ul> <li>files-DIFFCOV-gcc.txt and files-DIFFCOV-clang.txt list the filenames in the testsuites of GCC-10.1.0 that the coverage statistics from coverage profilers inconsistent with the hit count from debuggers</li> <li>DIFFCOV-Gcov-vs-GDB.txt and DIFFCOV-LLVMcov-vs-LLDB.txt list the filesname and the the respected lines of code that violating <em>HMR</em>, coverage statistics is not consistent with the hit count</li> <li>files-SAMECOV-gcc.txt and files-SAMECOV-clang.txt list the filenames in the testsuites of GCC-10.1.0 that the coverage statistics from coverage profilers consistent with the hit count from debuggers.</li> <li>files-CPLERROR-gcc.txt and files-CPLERROR-clang.txt list the filenames in the testsuites of GCC-10.1.0 that cannot be correctly compiled independently by respected compilers</li> </ul> <p><strong>Bugs</strong></p> <p>Bugs reported by <strong>DeCov</strong> for LLVM-cov:</p> <p>llvm-cov 48818 Status History: "NEW"</p> <p>llvm-cov 48795 Status History: "NEW"</p> <p>llvm-cov 48278 Status History: "NEW" -> "DUPLICATE"</p> <p>llvm-cov 48264 Status History: "NEW" -> "INVALID" -> "REOPENED"</p> <p>llvm-cov 48263 Status History: "NEW"</p> <p>llvm-cov 45850 Status History: "New" -> "CONFIRMED"</p> <p>llvm-cov 45849 Status History: "New" -> "FIXED" -> "REOPENED" -> "FIXED"</p> <p>llvm-cov 45846 Status History: "NEW" -> "CONFIRMED"</p> <p>llvm-cov 45845 Status History: "NEW" -> "CONFIRMED"</p> <p>llvm-cov 45844 Status History: "NEW" -> "DUPLICATE"</p> <p>llvm-cov 45821 Status History: "NEW" -> "CONFIRMED"</p> <p>llvm-cov 45678 Status History: "NEW" -> "CONFIRMED"</p> <p>llvm-cov 45595 Status History: "NEW" -> "CONFIRMED"</p> <p>Bugs reported by <strong>DeCov</strong> for Gcov:</p> <p>gcov 97925 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 97924 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 97923 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 97917 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 97910 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 93757 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 93735 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 93726 Status History: "UNCONFIRMED" -> "WAIT"</p> <p>gcov 93725 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 93706 Status History: "UNCONFIRMED" -> "NEW"</p> <p>gcov 93680 Status History: "UNCONFIRMED" -> "NEW"</p>
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.