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2,015
datasets available to search
ShareScore release 0.9.0
Dataset results
2,015 results for “context”
Exploitable, highly context-specific astrocytes
GEO Series GSE156628. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
IL-21 Shapes the B Cell Response in a Context-Dependent Manner [CUT&RUN]
GEO Series GSE280837. Mus musculus. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Robust regulatory interplay of enhancers, facilitators, and promoters in a native chromatin context [amplicon sequencing]
GEO Series GSE299355. Homo sapiens. 18 samples. Type: Other.
Sequence reliance of a Drosophila context-dependent transcription factor
GEO Series GSE249797. Drosophila melanogaster. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Robust regulatory interplay of enhancers, facilitators, and promoters in a native chromatin context [ATAC-Seq]
GEO Series GSE299351. Homo sapiens. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
In-Depth Functional Analysis of BRD9 in Fetal Hematopoiesis Reveals Context-Dependent Roles [ATAC-seq]
GEO Series GSE269139. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Histone chaperone CAF-1 is a synthetic lethal vulnerability in the context of ARID1A deficiencies
GEO Series GSE125221. Homo sapiens. 116 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Comprehensive analysis of H3K27me3 LOCKs under different DNA methylation contexts reveal epigenetic redistribution in tumorigenesis
GEO Series GSE270715. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Reinforcement of DNA methylation in CHH context through RNA-directed DNA methylation ensures sexual reproduction in rice
GEO Series GSE130168. Oryza sativa; Oryza sativa Japonica Group. 17 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Early-life nasopharyngeal gene expression profiles in the context of the local microbiota and viral infection.
GEO Series GSE152951. Homo sapiens. 286 samples. Type: Expression profiling by array.
Single-cell multiomics study of cell-type-specific neuron activation unravels context-dependent gene regulation of brain disorders [029]
GEO Series GSE289518. Homo sapiens. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"
<p>This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" under review by SANER2021. We release the source code of Cache, the patches used in our evaluation, as well as the experiment results.</p> <ul> <li> <p>Patches: Three patch benchmarks included in our study. </p> <ul> <li> <p>Tian: The patches from Tian's <a href="https://conf.researchr.org/details/ase-2020/ase-2020-papers/3/Evaluating-Representation-Learning-of-Code-Changes-for-Predicting-Patch-Correctness-i">ASE20</a> paper.</p> </li> <li> <p>Wang: The patches from Wang's <a href="https://conf.researchr.org/details/ase-2020/ase-2020-papers/54/Automated-Patch-Correctness-Assessment-How-Far-are-We-">ASE20</a> paper.</p> </li> <li> <p>Cache: The patches collected by ourselves, which is consist of 17,377 deduplicated overfitting patches from <a href="https://dl.acm.org/doi/10.1145/3338906.3338911">RepairThemAll</a> and 17,377 instances from <a href="https://dl.acm.org/doi/10.1145/3379597.3387491">ManySStuBs</a>(used as correct patches).</p> </li> </ul> </li> <li> <p>Results:</p> <ul> <li> <p>RQ1: The detailed result files in RQ1, which are named by the format of <em>[model]_[classifier]</em>.csv.</p> <p>For example, the file named <strong>BERT_DT.csv</strong> in the folder <strong>Tian's_dataset</strong> means that this file is the result of patches from <strong>Tian's</strong> study embedded by <strong>BERT</strong> and classified by <strong>Decision Tree</strong>.</p> <ul> <li> <p>Tian's_dataset : The detailed result files on Tian's dataset. </p> </li> <li> <p>Cache_dataset : The detailed result files on our own dataset. </p> </li> <li> <p>Cross_dataset : The detailed result files of representation learning techniques when training on our own dataset and testing on Tian's dataset.</p> </li> </ul> </li> <li>RQ2: The detailed result files in RQ2. <ul> <li> <p>Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's <a href="https://conf.researchr.org/details/ase-2020/ase-2020-papers/54/">ASE20</a>.</p> </li> <li> <p>ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's <a href="https://dl.acm.org/doi/10.1145/3180155.3180182">ICSE18</a> paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable.</p> </li> </ul> </li> </ul> </li> </ul> <p>Source: The source code and lib for running Cache is available at <a href="https://github.com/APR-Study/Cache">https://github.com/APR-Study/Cache</a>.</p>
Geometric Brownian Motion of stock indexes and financial market uncertainty in the context of non-crisis and financial crisis scenarios
<p>Supplementary file for the manuscript submitted in the <em>Special Issue of <strong>Entropy</strong> “Statistical Physics and Social Sciences”.</em></p>
LDSC results of M2H-ELEs (mouse genome & 14 contexts, Part 1)
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LDSC results of M2H-ELEs (mouse H3K27ac & 14 contexts, Part 2)
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LDSC results of M2H-ELEs (mouse genome & 14 contexts, Part 2)
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LDSC results of M2H-ELEs (mouse H3K27ac & 14 contexts, Part 1)
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Emotional Style Questionnaire (ESQ-24)in French Cultural Context
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Cross-cultural adaptation and validation of a surgical neonatal nursing workload tool to the Italian context: The Italian Win-nipeg Surgical Complex Assessment of Neonatal Nursing Needs Tool
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Robust regulatory interplay of enhancers, facilitators, and promoters in a native chromatin context [ChIP-Seq]
GEO Series GSE299353. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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.