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23 results for “Generative Adversarial Network”

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zenodo28/100

STCGAN: a novel Cycle-Consistent Generative Adversarial Network for Spatial Transcriptomics Cellular Deconvolution

Open the record for dataset details and reuse information.

opencc-by-4.0Feb 2024View details →
zenodo28/100

Image Synthesis with a Convolutional Capsule Generative Adversarial Network- Prepared Data

<p>A set of prepared datasets for running experiments to replicate paper (see below).</p> <p>List of data:</p> <p>Training capspix2pix:</p> <ul> <li>crops256.zip - folder containing 256x256 crops from the original dataset for training capspix2pix. Images are in the &quot;train/original&quot; folder, and labels are in the &quot;train/mask&quot; folder.</li> <li>syn256_x_data_val.npy + syn256_y_data_val.npy + syn256_y_points_data_val.npy (images + labels + centrelines) - validation synthetic dataset, used while training capspix2pix for plotting</li> </ul> <p>Training u-net:</p> <ul> <li>capspix2pix_AR_data_train.npy + capspix2pix_AR_mask_train.npy (images + labels) - data generated from a capspix2pix model from real labels</li> <li>capspix2pix_SSM_data_train.npy + capspix2pix_AR_mask_train.npy (images + labels) - data generated from a capspix2pix model from synthetic labels</li> <li>PBAM_SSM_data_train.npy + PBAM_SSM_mask_train.npy (images + labels) - data generated from PBAM (Physics-based model) for training u-net</li> <li>pix2pix_AR_data_train.npy + pix2pix_AR_mask_train.npy (images + labels) - data generated from a pix2pix model from real labels for training u-net</li> <li>pix2pix_SSM_data_train.npy + pix2pix_SSM_mask_train.npy (images + labels) - data generated from a pix2pix model from synthetic labels for training u-net</li> <li>real_data_data_train.npy + real_data_mask_train.npy (images + labels) - augmented real dataset for training u-net</li> </ul> <p>Testing u-net:</p> <ul> <li>org64_data_test.npy + org64_mask_test.npy (images + labels) - crops from original test dataset for testing u-net</li> </ul> <p>Interpolation:</p> <ul> <li>crops256_inter_data_train.npy + crops256_inter_mask_train.npy (images + labels) - example data for interpolation</li> </ul> <p><strong>Please cite the following paper when using this dataset:</strong></p> <p>Bass, C.,&nbsp;Dai, T., Billot,&nbsp;B.,&nbsp;&nbsp;Arulkumaran,&nbsp;K.,&nbsp;Creswell, A.,&nbsp;Clopath,&nbsp;C.,&nbsp;De Paola,&nbsp;V., and&nbsp;Bharath,&nbsp;A. A., 2019. &ldquo;Image synthesis with a convolutional capsule generative adversarial network,&rdquo;&nbsp;<em>Medial Imaging with Deep Learning.</em></p> <p><strong>See Github page for further instructions:</strong></p> <p>https://github.com/CherBass/CapsPix2Pix</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2019View details →
zenodo28/100

Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"

<p>Dataset of the article &quot;Super-resolution generative adversarial networks of randomly seeded fields&quot; (https://doi.org/10.1038/s42256-022-00572-7)</p> <p>The codes processing data here are on https://github.com/eaplab/RaSeedGAN</p> <p>This project has received funding from the&nbsp;European Research Council (ERC)&nbsp;under the European Union&rsquo;s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).</p>

opencc-by-4.0Oct 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record