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846 results for “commit”
BOLD release 5 April 2024, curated with pipeline commit 3c74c5e91daa2ddccce41d38881edc2e242e9c81
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the Linux kernel & Rust commits
<p>Historical commit data for the Linux kernel (2001/09/17-2023/11/22)/Rust (2010/06/23-2021/12/06)</p>
NOTICE OF THE DELETION OF UNPUBLISHED ARTICLE: Competence, Leadership Skills, and Professional Commitment of Elementary Teachers in the National Capital Region
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Data and code for publication "The long-term sea-level commitment from Antarctica"
<p>Data and scripts for assessing the long-term sea-level commitment from Antarctica </p> <p>The data and scripts are relevant for the analysis and for reproducing figures and tables presented in the following publication: </p> <p>Klose A K, Coulon V, Pattyn F, Winkelmann R, 2024, The long-term sea-level commitment from Antarctica, The Cryosphere. </p>
The commit history of the dependent libraries and the associated pull requests related to dependency removal.
<p>The dataset is the commit history within a specific period and the matched pull requests corresponding to the commits.</p>
Predicting Bug-Inducing Commits Using Software Quality Metrics
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Replication package for: "Who Chooses Commitment? Evidence and Welfare Implications"
<p>This package contains all of the code necessary to reproduce the figures and tables in Carrera, Royer, Stehr, Sydnor, Taubinsky (forthcoming) "Who Chooses Commitment? Evidence and Welfare Implications." Review of Economic Studies.</p>
Single-nucleus Transcriptomics of IDH1- and TP53-mutant Glioma Stem Cells Displays Diversified Commitment on Highly Invasive Cancer Progenitors
<p><strong>Fig. S1</strong>. <strong>Marker genes for Seurat clusters.</strong> (<strong>A</strong>) distribution of marker genes for cluster 0 on the 2D-UMAP space. (<strong>B</strong>) distribution of marker genes for cluster 1 on the 2D-UMAP space. (<strong>C</strong>) distribution of marker genes for cluster 2 on the 2D-UMAP space. (<strong>D</strong>) distribution of marker genes for cluster 3 on the 2D-UMAP space. (<strong>E</strong>) distribution of marker genes for cluster 4 on the 2D-UMAP space. (<strong>F</strong>) distribution of marker genes for cluster 5 on the 2D-UMAP space. (<strong>G</strong>) Stuck violin plot of marker gene expression for Seurat clusters (bottom panel) and their annotation (right side panel). The violin shape displays the number of the cells expressing a gene, the continuous color panel defines median expression value of a gene from the absence of expression (white) to high expression (dark blue).</p> <p><strong>Fig. S2</strong>. <strong>Expression of genes marking cell malignization.</strong> (<strong>A</strong>) expression of collagens in Surat clusters (bottom panel) (<strong>B</strong>) expression of genes linked to Migration and ECM in Surat clusters (bottom panel) (<strong>C</strong>) expression of genes classified as Proto-oncogenes in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.</p> <p><strong>Fig. S3</strong>. <strong>Expression of genes involved in proliferation and survival of cancer cells.</strong> (<strong>A</strong>) Genes involved in Wnt-pathway in Surat clusters (bottom panel). (<strong>B</strong>) Genes involved in Akt-pathway in Surat clusters (bottom panel). (<strong>C</strong>) Genes inducing resistance to cancer therapeutics in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.\</p> <p><strong>Fig. S4</strong>. <strong>Expression of genes marking CSC profile.</strong> (<strong>A</strong>) Ion channel genes in Surat clusters (bottom panel). (<strong>B</strong>) Antioncogenes in Surat clusters (bottom panel). <strong>C</strong>. Stem-cell genes in Surat clusters (bottom panel). (<strong>D</strong>) Antiapoptotic genes in Surat clusters (bottom panel). The violin shape displays the number of the cells expressing a gene, the violin color defines the Seurat cluster. Gene expression displayed in log-transformed normalized expression values.</p> <p><strong>Fig. S5</strong>. <strong>Genes differentially expressed between UMAP clusters</strong>. (<strong>A</strong>) Heatmap for wt-GSCs. (<strong>B</strong>) Heatmap for mt-GSCs. Upper colour panel in the heatmap designates Seurat clusters. Gene expression is indicated by continuous colour panel starting from the most downregulated (blue) to the most upregulated (red).</p> <p><strong>Fig. S6</strong>. <strong>Marker genes defying cell annotations</strong>. (<strong>A</strong>) Stack violin plot displays marker gene expression in wt-GSC clusters. (<strong>B</strong>) Stack violin plot displays marker gene expression in mt-GSC clusters. Genes grouped by cell annotations (side description) and UMAP clusters (down column bar). The violin shape displays the number of the cells expressing a gene, the continuous color panel defines median expression value of a gene from the absence of expression (white) to high expression (dark blue).</p> <p><strong>Fig. S7</strong>. <strong>Differentially expressed proliferation and adhesion pathways comparing mutant samples to wild type.</strong> (<strong>A</strong>) ERBB signalling pathway. (<strong>B</strong>) Wnt signalling pathway. (<strong>C</strong>) Genes linked to Focal adhesion. (<strong>D</strong>) Genes classified as Cell adhesion molecules. Red rectangles display upregulated genes (proteins), green rectangles define downregulated genes (proteins). Pictures obtained by KEGG pathview.</p> <p><strong>Table S1. Glioma genotyping primers</strong></p> <p><strong>Table S2. Smart-seq2 Primers</strong></p>
Visualization of commits to papyri.info data repository (ca. 2011)
<p>This is a visualization of commits made to the papyri.info data repository: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbGRFdHJRZVFSXzNndHFaU19NUEVsMEhwT21UUXxBQ3Jtc0tsQV9jcnNzTnBoU29aZGtiODRTQjdwaWZSaU96N2laNDZfYzVmLXpBTUhVU0JXTXVETjdaSGxwbjVNWWhweUFKOFJJdUhSdUVFZ0tGSHFXMFRyZEM1UmRQOU9KODFLai1ubThMSEhPRml6MG1QS09TNA&q=https%3A%2F%2Fgithub.com%2Fpapyri%2Fidp.data&v=l7ujo41j_Ig">https://github.com/papyri/idp.data</a></p> <p>Made using gource: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa2dic2pFTzdjUW84MjNaWGUtZXJnNkdOLUpoUXxBQ3Jtc0trQWQwWi0zQU9ZNUgzdDBSc2U5cUNFemIyUEl0MFA4TGY0Qk9uSGZyU0djODRVejZhTFZmWVNoQndDRGYtRkZDOWJ4cnpJa2JNalhINXNiN3JadVFCUWlGMGwtRmxURkdRNFRZRkg4OHhRUkYxdU92cw&q=https%3A%2F%2Fgource.io%2F&v=l7ujo41j_Ig">https://gource.io/</a></p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Commit Data
<p>This dataset contains commit UNIX timestamps for Copymaster assignment git repositories of students studying Operating Systems class at Technical University of Košice in the span of years 2017/2018 - 2020/2021.</p>
Datasets of issue-commit and issue-method links extracted from GitHub repositories
<p>Contains issue-commit and issue-method links extracted from GitHub repositories.</p> <p>Available on GitHub: https://github.com/pragma-once/utilizing-bert-for-traceability/releases</p>
Effects of Provider Commitments to Choose Wisely
ClinicalTrials.gov study NCT03411525. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Acceptance and Commitment Therapy for Informal Caregivers of People With Dementia
ClinicalTrials.gov study NCT05064969. IPD Sharing: YES. Countries: 1. Publications: 1.
An Intervention for Female Breast CANcer: Acceptance and Commitment Therapy (I-CAN-ACT) for Depression and Physical Pain
ClinicalTrials.gov study NCT05374161. IPD Sharing: NO. Countries: 1. Publications: 12.
Development and Improvement of an Acceptance and Commitment-based Treatment for the Prevention of Chronic Pain After Total Knee Arthroplasty
ClinicalTrials.gov study NCT05769998. IPD Sharing: YES. Countries: 1. Publications: 0.
Acceptance and Commitment Therapy for Delusions
ClinicalTrials.gov study NCT00657631. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Acceptance and Commitment Therapy Versus Cognitive Therapy for the Treatment of Major Depressive Disorder
ClinicalTrials.gov study NCT01517503. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Guided Eight-week Online Acceptance and Commitment Therapy for Distressed Family Caregivers of People With Dementia
ClinicalTrials.gov study NCT04847986. IPD Sharing: NO. Countries: 1. Publications: 1.
Examining Different Components of Online Acceptance and Commitment Therapy for People With Chiari Malformation
ClinicalTrials.gov study NCT05581472. IPD Sharing: Not stated. Countries: 1. Publications: 28.
A Mixed-methods Evaluation of an Adapted Acceptance and Commitment Therapy (ACT) Group for Stroke Survivors
ClinicalTrials.gov study NCT03295032. IPD Sharing: NO. Countries: 1. Publications: 5.
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.