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.
846
datasets available to search
ShareScore release 0.7.1
Dataset results
846 results for “commit”
The endogenous antigen-specific CD8+ T cell repertoire is composed of unbiased and biased clonotypes with differential fate commitment.
GEO Series GSE241403. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Global genome decompaction leads to stochastic activation of gene expression as a first step toward fate commitment in human hematopoietic cells [scRNA-seq]
GEO Series GSE156734. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Neural Committed Progenitors SAGE library
GEO Series GSE3782. Mus musculus. 1 samples. Type: Expression profiling by SAGE.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs (ChIP-Seq)
GEO Series GSE232534. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Transcriptional profiling of Hutchinson-Gilford Progeria syndrome fibroblasts reveals deficits in mesenchymal stem cell commitment to differentiation related to early events in endochondral ossificati
GEO Series GSE206704. Homo sapiens. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs (RNA-Seq)
GEO Series GSE232535. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Cutting down steroid biosynthesis through SIRT6 induced H3K56ac deacetylation Fuels the osteogenic commitment of MSCs
GEO Series GSE232537. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Transcription factor network dynamics during the commitment to oncogene-induced senescence [ATAC-Seq]
GEO Series GSE271459. Homo sapiens. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
An exon DNA element modulates heterochromatin spreading in the master regulator for sexual commitment in malaria parasites
GEO Series GSE145378. Plasmodium falciparum. 20 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Tumor-induced double positive T cells display distinct lineage commitment mechanisms and functions (6)
GEO Series GSE203188. Mus musculus. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Zfp335 establishes neonatal immune tolerance through safeguarding effector Treg lineage commitment and maintenance.
GEO Series GSE189077. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Transcription factor network dynamics during the commitment to oncogene-induced senescence [CUT&Tag]
GEO Series GSE271460. Homo sapiens. 40 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Lineage-committed osteoclast precursors circulate in blood and settle down into bone
GEO Series GSE26499. Mus musculus. 2 samples. Type: Expression profiling by array.
Oleic Acid Availability Preprograms Early Thymocytes for Treg Cell Commitment in the Periphery
GEO Series GSE237573. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Zfp335 establishes neonatal immune tolerance through safeguarding effector Treg lineage commitment and maintenance [ChIP-seq]
GEO Series GSE189076. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
An exploratory clinical trial on acceptance and commitment therapy as an adjunct to psychoeducational relaxation therapy for chronic pain.
<p>The document contains the following documents used in the study:</p> <p>1. Consent form</p> <p>2. Dataset in the .sav format</p> <p>3. The version of the questionnaire</p> <p>4. Raw dataset in the .xlsx format</p> <p>5. Workbook for the ACT treatment </p> <p>5. Workbook for the PRT treatment </p>
What Makes a Good Commit Message?
<p><strong>What-Makes-a-Good-Commit-Message?</strong></p> <p>This repository contains the main data and scripts used in "What Makes a Good Commit Message"</p> <p><strong>Dataset:</strong></p> <p>The folder dataset contains the following files.</p> <ul> <li> <p>literature survery.xlsx</p> <ul> <li>It contains the data of 46 relevant literature reviewed in this study (Section 3.2).</li> </ul> </li> <li> <p>Questionnaire.pdf</p> <ul> <li>It is the questionnaire sent to experienced contributors.</li> <li>It contains three questions.</li> <li>It also contains an example of the initialized questionnaire.</li> </ul> </li> <li>Frequency.pdf <ul> <li>It describes the number and proportion of occurrences of a category/subcategory.</li> </ul> </li> <li> <p>posts list.xlsx</p> <ul> <li>It contains all posts we studied in Sec. 3.2.</li> </ul> </li> <li> <p>sampled messages.csv</p> <ul> <li>It contains meta-information of 1649 labeled commit messages.</li> <li>label = 0 means a commit message contains "Why and What".</li> <li>label = 1 means a commit message contains "Neither Why nor What".</li> <li>label = 2 means a commit message contains "No What".</li> <li>label = 3 means a commit message contains "No Why".</li> <li>if_mulit_commit = 1 means a commit is non-atomic.</li> <li>new_message1 means a message after preprocessing.</li> </ul> </li> <li> <p>maintenance type and expression way.xlsx</p> <ul> <li>It contains the results of our RQ2: the expression ways of Why and What, as well as links to maintenance types.</li> </ul> </li> </ul> <p><strong>CommitMessage (Scripts):</strong></p> <p>The folder contains the following scripts files.</p> <ul> <li> <p>Preprocessor</p> <ul> <li>It contains the preprocessing of commit messages, including the replacement of token in the message, etc.</li> </ul> </li> <li> <p>ModelTraining</p> <ul> <li>It contains the code for our model training, that is, the implementation of different classification techniques.</li> </ul> </li> </ul>
Preliminary Results from The ACTyourCHANGE in Teens Protocol: A Randomized Controlled Trial Evaluating Acceptance and Commitment Therapy for Adolescents with Obesity
<p>The study shows preliminary results of “The ACTyourCHANGE in Teens” project, a Randomized Controlled Trial aimed at evaluating the efficacy of an Acceptance and Commitment Therapy-based intervention combined with treatment as usual (ACT+TAU) compared to TAU only, for improving psychological well-being, psychological distress, experiential avoidance and fusion, emotion dysregulation, and emotional eating in a sample of 34 in-patient adolescents with obesity (Body Mass Index > 97th centile). Mixed between-within 2 × 2 repeated-measures analyses of variances (ANOVAs) were carried out to examine the changes in psychological conditions of participants over time. Moderation analyses were also conducted to test whether pre-test anxiety, depression, stress, and experiential avoidance and fusion predicted emotional eating at post-test with groups (ACT+TAU vs. TAU only) as moderators. Only a significant interaction effect (time × group) from pre- to post-test (<em>p </em>= 0.031) and a significant main effect of time on anxiety (<em>p </em>< 0.001) and emotional eating (<em>p</em> = 0.010) were found. Only in the TAU only group were higher levels of depression (<em>p</em> = 0.0011), stress (<em>p</em> = 0.0012), and experiential avoidance and fusion (<em>p</em> = 0.0282) at pre-test significantly associated with higher emotional eating at post-test. Although future replication and improvements of the study may allow us to obtain more consistent results, this preliminary evidence is actually promising.</p>
Impact of Psychological Capital on University Lecturers' Job Performance: The Mediating Effect of Organizational Commitment
Open the record for dataset details and reuse information.
Process Metrics Collected using Commit Guru
<p>This data contains file-level process metrics collected using the commit guru tool.</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.