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ShareScore release 0.9.0
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25 results for “natural context”
Assessing Consumer's Characterization of the Term Natural in a Food Context
ClinicalTrials.gov study NCT03165162. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Natural genetic variation in social environment choice: context-dependent gene-environment correlation in Drosophila melanogaster
Open the record for dataset details and reuse information.
The naturally occurring ∆40p53 isoform inhibits eRNA transcription and enables context-specific regulatory inputs during p53 activation [ChIP-seq]
GEO Series GSE147700. Homo sapiens. 32 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Systematic analysis of innate lymphoid cells and natural killer cells in context of HIV-1 infection
GEO Series GSE168212. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Data set of "Context-sensitive Requirements Search in Natural Language Specifications"
<p>We use this data set for the evaluation of our Context-sensitive Requirements Search approach. It contains three files and 15 searches.</p> <p> </p> <p><strong>Attribution</strong></p> <p>The foundation of this data set is PURE:<br> A. Ferrari, G. O. Spagnolo, and S. Gnesi. <em>PURE: a Dataset of Public Requirements Documents</em>. Version 1.0. Sept. 2018.<br> Available at: <a href="https://doi.org/10.5281/zenodo.1414117">https://doi.org/10.5281/zenodo.1414117</a></p> <p>The original data is licensed under <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a></p> <p> </p> <p><strong>Annotations</strong></p> <ul> <li>Each of the provided files contains annotations that we created with Label Studio for the corresponding file of the PURE data set.</li> <li>These annotations depict the search results of Plain Keyword Search (PKS) and the corresponding gold standard.</li> <li>The following is an example of an annotation in the .json file:</li> </ul> <pre><code class="language-json">{ "id": "UnaxUjB6oY", "meta": { "text": ["0"] }, "type": "labels", "value": { "end": "/text()[2]", "text": "speed", "start": "/text()[2]", "labels": ["speed: train speed profile"], "endOffset": 364, "startOffset": 359, "globalOffsets": { "end": 1403, "start": 1398 } }, "origin": "manual", "to_name": "text", "from_name": "ner" },</code></pre> <p> </p> <p><strong>Important Json attributes to consider</strong></p> <p><strong>Meta</strong></p> <p>We encode the relevance of each result in its metadata.</p> <p><em>Example:</em></p> <pre><code class="language-json">"meta": { "text": ["0"] },</code></pre> <ul> <li>1 = relevant for this search and found by PKS</li> <li>0 = irrelevant for this search but found by PKS</li> <li>-1 = relevant for this search and not found by PKS</li> </ul> <p> </p> <p><strong>Labels</strong></p> <p>This element is the search identifier we use in Label Studio. It corresponds to the table in the thesis that describes each search in detail.</p> <p><em>Example:</em></p> <pre><code class="language-json">"labels": ["speed: train speed profile"],</code></pre> <p> </p> <p><strong>GlobalOffsets</strong></p> <p>"globalOffsets" describes the position of a label in the text.</p> <p><em>Example:</em></p> <pre><code class="language-json">"globalOffsets": { "end": 1403, "start": 1398 }</code></pre> <p> </p>
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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.
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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.