Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
264
datasets available to search
ShareScore release 0.9.0
Dataset results
264 results for “batch”
[E-MTAB-831] GENCODE PCR-Seq Batch VI
GEO Series GSE34821. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
KM109_Human oligo batch I
GEO Series GSE908. Homo sapiens. 10 samples. Type: Expression profiling by array.
Metabolic switches and adaptations deduced from the proteomes of Streptomyces coelicolor wild type and phoP mutant grown in batch culture
GEO Series GSE31068. Streptomyces coelicolor; Streptomyces coelicolor A3(2). 36 samples. Type: Expression profiling by array.
Batch effect during human bone marrow stromal cell propagation prevails donor variation and culture duration impact on phenotype, transcriptome and function
GEO Series GSE194303. Homo sapiens. 40 samples. Type: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Identification of differentially expressed microRNAs between human HCC tumors with and without vascular invasion [batch 1]
GEO Series GSE67138. synthetic construct; Homo sapiens. 57 samples. Type: Non-coding RNA profiling by array.
Xenium human Brain Micrometastasis - 2nd batch
<p>This repository contains (1) all Xenium outputs as .zip files, (2) CD31 immunohistochemistry (IHC) staining in .czi format and the (3) .rds files related to 2 tissue sections from 2 human donors analysed by Xenium. Xenium and IHC were performed in sequential tissue sections from the same blocks. These datasets belong to a larger study to understand vascular co-option in brain micro-metastasis (Pedro García-Gómez et al., 2024). Please visit <a href="https://github.com/smorabit/Micromets_Xenium">https://github.com/smorabit/Micromets_Xenium</a> to obtain further information about the code and analysis pipeline used.</p> <p>This dataset is available through Zenodo for <strong>academic non-commercial use</strong> <strong>only</strong>. To request access, you must use your work/university email address and must submit the following details to <a href="mailto:ctc.peace@ucl.ac.uk">ctc.peace@ucl.ac.uk</a>:</p> <ul> <li> <ul> <li>Your Full Name, Role and Affiliated Institution</li> <li>An overview of your intended use of the dataset</li> <li>Acknowledgement of the restrictions for academic non-commercial use only</li> </ul> </li> </ul> <p>Access Request will be reviewed by the Data Access Committee (<a href="mailto:ctc.peace@ucl.ac.uk">ctc.peace@ucl.ac.uk</a>)</p> <p>The dataset can only be used by the applicants named on the application and for the intended use specified in the request. <strong>Copying or redistribution of this dataset is strictly prohibited.</strong></p> <p> </p>
Chemical and isotopic data of laboratory batch and column experiments using industrial wine wastes to biostimulate denitrification
<p>Nitrate and nitrite are common pollutants in wastewater and agricultural runoff, and their removal is crucial to mitigate environmental impacts. The study focused on utilising sustainable and cost-effective carbon sources to enhance denitrification performance in nitrate-contaminated field water. Laboratory batch and column experimental work was carried out aimed at investigating the feasibility of using wine wastes as electron donors in a feasibility study to biostimulate biological denitrification. Two industrial wine wastes were collected from local wineries (lias and vinico). The samples were characterized for their organic carbon content to determine their suitability as electron donors. Two sets of denitrification reactors were set up, consisting of a series of crystal Pyrex<sup>®</sup> reactors. Each reactor contained nitrate-contaminated water, and gravel from the field, which was covered with aluminium crimp caps with septa and purged with Ar to create an anaerobic environment. Each series of reactors were biostimulated with the respective wine waste. Control reactors without wine wastes were also prepared for comparison. Lias was successful in removing nitrates in the batch experiment and was subsequently used in the column experiment to test its potential in a continuous flow system. </p> <p>The chemical and isotopic results of the two sets of parallel batch experiments and the column experiment are presented in this data.</p> <p>A geochemical model was performed to simulate the experimental results for the future field application using the Phreeqc and the Gibbstudio software and iso.dat and the wateq4f databases. </p>
Lung CT COVID-19 batch 5
<p>This data set is part of the public development data for the <a href="http://auc23.grand-challenge.org/">2023 Automated Universal Classification Challenge</a> (AUC23). The data set concerns COVID-19 RT-PCR outcome prediction and prediction of severe COVID-19, defined as death or intubation after one month, from computed tomography (CT). The data set was previously introduced and described by <a href="https://pubs.rsna.org/doi/full/10.1148/radiol.2021210384">Revel, M. et al (2021)</a>. Data was restructured in compliance with the <a href="https://auc23.grand-challenge.org/">AUC23</a> challenge format. The STOIC project collected CT images of 10,735 individuals suspected of being infected with SARS-COV-2 during the first wave of the pandemic in France, from March to April 2020. For each patient in the training set, the dataset contains binary labels for COVID-19 presence based on RT-PCR test results, and COVID-19 severity, defined as intubation or death within one month from the acquisition of the CT scan. This data set contains the training sample of the STOIC dataset as used in the <a href="https://stoic2021.grand-challenge.org/">STOIC2021</a> challenge.</p> <p>Images are 3D tensors:</p> <ul> <li>0: 3D CT scan</li> </ul> <p>Classification labels:</p> <ul> <li>COVID-19: <ul> <li>0: Negative RT-PCR</li> <li>1: Positive RT-PCR<br> </li> </ul> </li> <li>Severe COVID-19: <ul> <li>0: Alive and no intubation after one month</li> <li>1: Death or intubation after one month</li> </ul> </li> </ul> <p>imagesTr (root folder with all patients and studies)<br> ├── covid19severity_6_0000.mha (3D CT for study 6)<br> ├── covid19severity_17_0000.mha (3D CT for study 17)<br> ├── ...</p> <p>Please cite the following article if you are using the <a href="https://registry.opendata.aws/stoic2021-training/">STOIC2021 training dataset</a>:</p> <pre><code>STOIC2021 Training was accessed on DATE from https://registry.opendata.aws/stoic2021-training. STOIC2021 Training was documented in Thoracic CT in COVID-19: The STOIC Project, Revel, Marie-Pierre, et al. Radiology, 2021, https://doi.org/10.1148/radiol.2021210384.</code></pre> <p>Due to upload size limits, the data set was split into six batches.</p> <p>Batch 1:<a href="https://zenodo.org/record/7969800"> https://zenodo.org/record/7969800</a></p> <p>Batch 2: <a href="https://zenodo.org/record/8042589">https://zenodo.org/record/8042589</a></p> <p>Batch 3: <a href="https://zenodo.org/record/8042817">https://zenodo.org/record/8042817</a></p> <p>Batch 4: <a href="https://zenodo.org/record/8043089">https://zenodo.org/record/8043089</a></p> <p>Batch 6: <a href="https://zenodo.org/record/8043218">https://zenodo.org/record/8043218</a></p>
Bioequivalence of Two Different Drug Product Batches of Dabigatran Etexilate Following Oral Administration in Healthy Male and Female Volunteers
ClinicalTrials.gov study NCT02171013. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Demonstrate the Lot-to-lot Consistency of 3 Consecutive Batches and to Evaluate the Efficacy and Safety of GC FLU®Pre-filled Syringe Injection and 'GC FLU®Injection' Administration.
ClinicalTrials.gov study NCT02067117. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Study to Assess the Bioequivalence of Two Batches of Tamsulosin Hydrochloride in Healthy Male Subjects
ClinicalTrials.gov study NCT02266511. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Safety, Three Batches Consistency and Immunity Duration of the Post-marketing Inactivated Enterovirus Type 71 (EV71) Vaccine in Children Aged 6-71 Months
ClinicalTrials.gov study NCT02889497. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Profiling miRNAs of high, low and non-producing CHO cells during biphasic Fed-Batch cultivations reveal interesting targets for cell line engineering
GEO Series GSE72945. Cricetulus griseus. 36 samples. Type: Non-coding RNA profiling by high throughput sequencing.
[E-MTAB-407] GENCODE PCR-Seq Batch II
GEO Series GSE25711. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Stromal inflammation is a targetable driver of blood aging [droplet-based scRNAseq - Batch 2]
GEO Series GSE189217. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Preserving biological heterogeneity with personalized genomics batch correction
GEO Series GSE53355. Homo sapiens. 44 samples. Type: Expression profiling by array.
Yarrowia lipolytica fed-batch biolipid production.
GEO Series GSE29046. Yarrowia lipolytica. 11 samples. Type: Expression profiling by array.
[E-MTAB-1226] GENCODE Batch VIII b: determining lncRNA transcript 5' and 3'-ends by RACE-PCR / 454 sequencing
GEO Series GSE46636. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Expression data of Saccharomyces cerevisiae CEN.PK.113-7D grew in Batch and Chemostat condition using for comparison of RNA-seq and Microarray data
GEO Series GSE37599. Schizosaccharomyces pombe; Saccharomyces cerevisiae CEN.PK113-7D; Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by array.
[E-MTAB-1310] GENCODE PCR-Seq Batch X
GEO Series GSE46638. 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.