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358
datasets available to search
ShareScore release 0.9.0
Dataset results
358 results for “dataset generation”
Dataset on low OAM EVBs generated with a chopstic
<p>Dataset of off-axis electron holography images used to recontruct the phase of the electron beam after interaction with a "chopstic" device (2 needles biased at opposite potensials that are able to generate and electron vortex beam). Here we varied the potential difference between the two opposedly biased needles to generate electron vortex beams with different orbital angular momentum. The OAM of these beams has been varied from 0 to 3h-bar, and some of the generated beams have fractional OAM.</p>
CelebA-HQ Dataset Generated Images with StyleSwin Method
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Supplementary dataset for manuscript "Generation of Archaean oxidizing and wet magmas from mafic crustal overthickening"
<p>Supplementary Tables 1 and 2</p>
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM): Datasets
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Dataset for MedCodER: A Generative AI Assistant for Medical Coding
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Dataset from "A systematic dataset generation technique applied to data-driven automotive aerodynamics"
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Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer
<p>These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".</p> <p>The datasets include:</p> <ul> <li> <p><code>metadata.tsv.gz</code> Phenotype information of the samples</p> </li> <li> <p><code>mirna_counts.tsv.gz</code> MicroRNA count matrix (for data normalization)</p> </li> <li> <p><code>oncrna_counts.tsv.gz</code> oncRNA count matrix</p> </li> <li> <p><code>orion/</code> Ensemble of Orion models</p> </li> </ul>
Energy Consumption Synthetic Dataset Generation Through Parametric Analysis for Residential Buildings in Hot Climates
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Dataset of the Automatic Unit Test Generation for Programming Assignments Using Large Language Models
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Context-Aware Retrieval-based Deep Commit Message Generation Dataset
<p>dataset</p>
Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"
<p>Dataset of the article "Super-resolution generative adversarial networks of randomly seeded fields" (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 European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).</p>
Dataset of "Towards Automatic Feature Extraction and Sample Generation of Grain Structure by Variational Autoencoder"
<p><em>No description.</em></p>
ddRAD-seq generated genomic SNP dataset of Central and Southeast European Turkey oak (Quercus cerris L.) populations
<p>Turkey oak (<em>Quercus cerris</em> L.) is one of the most ecologically and economically significant deciduous tree species in the Central and Southeast European regions. The species has long been known to exhibit high levels of genetic and phenotypic variation. Recent climate response predictions for Turkey oak suggest a significant distribution extension in Europe under climate change. Since Turkey oak has relative drought-tolerant behavior, it is regarded as a potential alternative for other forest tree species during forestry climate adaptation efforts, not only in its native regions but also in Western Europe. For this reason, the survey of existing genetic variability, genetic resources, and adaptability of this species has great significance. Next-generation sequencing approaches, such as ddRAD-seq (Double digest restriction-site associated DNA sequencing), allow the attainment of high-resolution genome-wide simple nucleotide polymorphisms (SNPs). This study provides the first highly variable genome-wide SNP data for Turkey oak generated by ddRAD-seq. The dataset comprises 17 607 <em>de novo</em> and 26 059 reference-mapped SNPs for 88 individuals from eight populations, two from Bulgaria, one from Kosovo, and five from Hungary. Reference mapping was carried out by using cork oak’s reference genome. The obtained high-resolution genome-wide markers are suitable for investigating selection and local adaptation and inferring genetic diversity, differentiation, and population structure. The dataset is accessible at: <a href="https://doi.org/10.5281/zenodo.8091252">https://doi.org/10.5281/zenodo.8091252</a></p>
DLO Instance Segmentation dataset generated by Blender
<p>This dataset is released as part of the publication: "Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation" - https://openreview.net/forum?id=EYBtzTQvdW</p> <pre><code><a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/80x15.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.</code></pre>
6DOF pose estimation - synthetically generated dataset using BlenderProc
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Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 1]
GEO Series GSE272993. Homo sapiens. 360 samples. Type: Expression profiling by high throughput sequencing; Other.
First Generation Tools for the Modeling of Capicua-Family Fusion Oncoprotein-Driven Cancers (April 2023 Dataset)
GEO Series GSE295624. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 2]
GEO Series GSE272734. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
First Generation Tools for the Modeling of Capicua-Family Fusion Oncoprotein-Driven Cancers (February 2025 Dataset)
GEO Series GSE295625. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Combination anti-PD-1 and anti-CTLA-4 therapy generates waves of clonal responses that include progenitor-exhausted CD8 T cells [dataset 3]
GEO Series GSE272735. Homo sapiens. 8 samples. Type: Expression 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.