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ShareScore release 0.9.0
Dataset results
9 results for “unpaired”
p-IgGen Dataset: Cleaned paired and unpaired antibody sequence data for machine learning applications.
<p>This data is released alongside "p-IgGen: A Paired Antibody Generative Language Model", which contains full details on the data processing and cleaning.</p> <p>p-IgGen Paper: https://www.biorxiv.org/content/10.1101/2024.08.06.606780v1 .</p> <p>OAS: https://opig.stats.ox.ac.uk/webapps/oas/</p> <p> </p>
Unpaired fast- and slow-acquisition microCT scans of carbon-fibre-reinforced composites
<p>data.zip contains tomographic images of carbon-fibre-reinforced composites with <a href="https://www.toraycma.com/wp-content/uploads/T700S-Technical-Data-Sheet-1.pdf.pdf">Toray T700S</a> fibres in a <a href="http://sicomin.com/datasheets/product-pdf1123.pdf">Sicomin SR8500 KTA313</a> epoxy matrix.</p> <p>The datasets accompany the paper <a href="https://doi-org.remotexs.ntu.edu.sg/10.1016/j.compscitech.2023.110278" target="_blank" rel="noopener"><em>Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites</em></a>.</p> <p>They are used in a two-step process:<br>1) to train a 3DCycleGAN enhancement algorithm available on <a href="https://github.com/pvilla/3DCycleGaN">https://github.com/pvilla/3DCycleGaN</a>.<br>2) to train a UNetID segmentation algorithm available on <a href="https://github.com/CMG-KULeuven/UnetID-FibreSeg">https://github.com/CMG-KULeuven/UnetID-FibreSeg</a>.</p> <p>The tomograms were acquired at the TOMCAT Beamline at the Swiss Light Source in October 2021.</p> <p>Acquisition specifications:</p> <p>T700_GF_0p8um_1ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 800x800x800 nm³</li> <li># projections: 500</li> <li>exposure time: 1 ms</li> <li>total acquisition time: 500 x 1 ms = 0.5 s</li> <li>beam: polychromatic</li> <li>datasets: (same sample, different regions)<br>T700-T-21_GF_0p8um_1ms_1.h5<br>T700-T-21_GF_0p8um_1ms_2.h5<br>T700-T-21_GF_0p8um_1ms_3.h5</li> </ul> <p>T700_GF_1p6um_0p5ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 1600x1600x1600 nm³</li> <li># projections: 500</li> <li>exposure time: 0.5 ms</li> <li>total acquisition time: 500 x 0.5 ms = 0.25 s</li> <li>beam: polychromatic</li> <li>files: (same sample, different regions)<br>T700-T-21_GF_1p6um_0p5ms_1.h5<br>T700-T-21_GF_1p6um_0p5ms_2.h5</li> </ul> <p>T700_GF_1p6um_3ms:</p> <ul> <li>detector: GigaFRoST</li> <li>effective voxel size: 1600x1600x1600 nm³</li> <li># projections: 500</li> <li>exposure time: 3 ms</li> <li>total acquisition time: 500 x 3 ms = 1.5 s</li> <li>beam: polychromatic</li> <li>files: (same sample, different regions)<br>T700-T-21_GF_1p6um_3ms_1.h5<br>T700-T-21_GF_1p6um_3ms_2.h5<br>T700-T-21_GF_1p6um_3ms_3.h5<br>T700-T-21_GF_1p6um_3ms_4.h5<br>T700-T-21_GF_1p6um_3ms_5.h5</li> </ul> <p>T700_pco_0p4um:</p> <ul> <li>detector: pco.edge 5.5</li> <li>effective voxel size: 400x400x400 nm³ (scaled from 325x325x325 nm³)</li> <li># projections: 2000</li> <li>exposure time: 250 ms</li> <li>total acquisition time: 2000 x 250 ms = 500 s</li> <li>beam: 15 keV</li> <li>files: (different samples)<br>T700-T-02_pco_0p4um.h5<br>T700-T-08_pco_0p4um.h5<br>T700-T-21_pco_0p4um_reference.h5<br>T700-T-26_pco_0p4um.h5</li> </ul> <p>3DCycleGAN_trained_models.zip contains pre-trained models for the 3DCycleGAN enhancement algorithm.</p> <p>UnetID_trained_models.zip contains pre-trained models for the UNetID segmentation algorithm.</p>
The G-rich repeats in FMR1 and C9orf72 loci are hotspots for R-loop retention and for local unpairing of DNA
GEO Series GSE111743. Homo sapiens. 7 samples. Type: Methylation profiling by high throughput sequencing.
Global miRNA Expression of Bone Marrow Mesenchymal Stem/Stromal Cells in Fanconi Anemia Patients Before Transplantation and Unpaired Bone Marrow Donors
GEO Series GSE183226. synthetic construct; Homo sapiens. 9 samples. Type: Non-coding RNA profiling by array.
The AIN-centered DCN of delayed-type eyeblink conditioned mice: 7-d paired and 7-d unpaired training groups
GEO Series GSE3652. Mus musculus. 6 samples. Type: Expression profiling by array.
New-Onset IgG Autoantibodies in Hospitalized Patients with COVID-19 [Unpaired Autoantigen V2]
GEO Series GSE180739. Escherichia coli; Spodoptera frugiperda; Triticum aestivum; Cricetulus griseus; Homo sapiens; Sus scrofa; Bos taurus; Capra aegagrus. 90 samples. Type: Protein profiling by protein array.
cis-regulatory logic of Shh expression reveals common history of unpaired and paired fins
GEO Series GSE97860. Mus musculus; Oryzias latipes. 4 samples. Type: Other.
New-Onset IgG Autoantibodies in Hospitalized Patients with COVID-19 [Unpaired Cytokine and Chemokine]
GEO Series GSE180741. Escherichia coli; Triticum aestivum; Spodoptera frugiperda; Bos taurus; Homo sapiens; Sus scrofa; Capra aegagrus; Cricetulus griseus. 89 samples. Type: Protein profiling by protein array.
Deeply hidden genome organization mediated by base-unpairing regions (BURs) directly bound by SATB1 linked to transcription
GEO Series GSE191146. Mus musculus. 38 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.
ScienceDex guides
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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.