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1,072 results for “Pigs”

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geo24/100

A single-cell analysis of nasal epithelial cells development in domestic pig

GEO Series GSE274334. Sus scrofa. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

Integrating Transcriptomic and ChIP-Seq Reveals Important Regulatory Regions Modulating Gene Expression in Myometrium during Implantation in Pigs [ChIP -seq]

GEO Series GSE216438. Sus scrofa. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo24/100

Impact of olive by-products based diets on the backfat transcriptome of growing Iberian pigs

GEO Series GSE264195. Sus scrofa. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2024View details →
geo24/100

Porcine circovirus modulates swine influenza virus replication in pig trachea epithelial cells and porcine alveolar macrophages [iPAM]

GEO Series GSE229214. Sus scrofa. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2023View details →
geo24/100

Identification of the 3' end of the pig miRNA by the RAKE technology [platform 2: 9003179]

GEO Series GSE28138. Sus scrofa. 12 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenMar 2014View details →
geo24/100

ASGR1 Is a Promising Target for Lipid Reduction in Pigs with PON2 As Its Inhibitor

GEO Series GSE268910. Sus scrofa. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

Exogenous miRNA expression profiling in serum of pig and rat fed with different diets

GEO Series GSE92897. Rattus norvegicus; Sus scrofa. 15 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJan 2017View details →
geo24/100

Long RNAs expression profiling of 20 Italian Large White pig backfat

GEO Series GSE68007. Sus scrofa. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2016View details →
geo24/100

Intestinal DNA methylome of preterm pigs

GEO Series GSE108284. Sus scrofa. 87 samples. Type: Methylation profiling by high throughput sequencing.

openGEO-OpenDec 2018View details →
geo24/100

Expression data from pig (Sus Scrofa) ileum tissue from animals receiving different diets at 5 days after weaning

GEO Series GSE50150. Sus scrofa. 16 samples. Type: Expression profiling by array.

openGEO-OpenNov 2014View details →
geo24/100

Single cell RNA sequencing of large and small airway surface epithelium in newborn cystic fibrosis (CF) and non-CF pigs

GEO Series GSE150211. Sus scrofa. 19 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2021View details →
zenodo24/100

YH-pig

<p>This is a recording made by Nathaniel Sims of 杨芝全 <em>Yang Zhiquan,&nbsp;</em>a native speaker of Yonghe Qiang, saying the word for &#39;pig&#39; in isolation and also within a carrier phrase.&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo24/100

Data of "Accuracy of predicting chemical body composition of growing pigs by dual-energy X-ray absorptiometry"

<p>Data set for article &quot;Accuracy of predicting chemical body composition of growing pigs by dual-energy X-ray absorptiometry&quot; (DOI). Data set of Swiss Large White entire male pigs for nutrient composition (water, lipid, N, ash, Ca and P) determined by wet-chemistry and body composition (lean mass, body mineral content and fat tissue mass) by&nbsp;dual-energy X-ray absorptiometry (DXA) in the empty body of live pigs and (N=61) in pig carcasses (N=68) within a body weight range from 20 to 100 kg.</p> <p><strong>metadata.xlsx</strong>: description of variables in the data sets</p> <p><strong>emptybody.txt</strong>: corresponds to contents of the empty body at slaughter (three days after DXA live scans) and DXA live scans</p> <p><strong>Carcass.txt</strong>: corresponds to carcass contents and DXA carcass scans on the day of slaughter</p> <p>&nbsp;</p>

opencc-by-nc-sa-4.0Aug 2020View details →
zenodo24/100

Figure 1 from: Kadinov B, Itzev D (2020) Influence between NO and CO in guinea pig stomach fundus. Pharmacia 67(3): 161-168. https://doi.org/10.3897/pharmacia.67.e52474

Figure 1 Immunohistochemistry of NADPH-d.

opencc-by-4.0Sep 2020View details →
dryad24/100

Data from: Olive oil bioactives protect pigs against experimentally-induced chronic inflammation independently of alterations in gut microbiota

Subclinical chronic inflammation (SCI) is associated with impaired animal growth. Previous work has demonstrated that olive-derived plant bioactives exhibit anti-inflammatory properties that could possibly counteract the growth-depressing effects of SCI. To test this hypothesis and define the underlying mechanism, we conducted a 30-day study in which piglets fed an olive-oil bioactive extract (OBE) and their control counterparts (C+) were injected repeatedly during the last 10 days of the study with increasing doses of Escherichia coli lipopolysaccharides (LPS) to induce SCI. A third group of piglets remained untreated throughout the study and served as a negative control (C-). In C+ pigs, SCI increased the circulating concentration of interleukin 1 beta (p &lt; 0.001) and decreased feed ingestion (p &lt; 0.05) and weight gain (p &lt; 0.05). These responses were not observed in OBE animals. Although intestinal inflammation and colonic microbial ecology was not altered by treatments, OBE enhanced ileal mRNA abundance of tight and adherens junctional proteins (p &lt; 0.05) and plasma recovery of mannitol (p &lt; 0.05) compared with C+ and C-. In line with these findings, OBE improved transepithelial electrical resistance (p &lt; 0.01) in TNF-α-challenged Caco-2/TC-7 cells, and repressed the production of inflammatory cytokines (p &lt; 0.05) in LPS-stimulated macrophages. In summary, this work demonstrates that OBE attenuates the suppressing effect of SCI on animal growth through a mechanism that appears to involve improvements in intestinal integrity unrelated to alterations in gut microbial ecology and function.

opencc-zeroDec 2016View details →
zenodo24/100

Raw landmarks related to the paper, "Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages'

<p>Raw coordinates (p x k = 82 x 3) of domestic and wild pig skulls that form the dataset for the paper, "&shy;Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo24/100

Non-freely available datasets for the following work: "Comparison of consumption data and phenotypical antimicro-bial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitor-ing systems in Germany."

<p>Human and animal databases used for the creation of the work &quot;Comparison of consumption data and phenotypical antimicrobial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitoring systems in Germany.&quot;</p>

opencc-by-4.0Dec 2021View details →
dryad24/100

Data: Slaughter parameters in pigs of Irish origin (100-120 kg)

<p class="MsoNormal"><span>The objective of the experiment was to determine</span><span> </span><span>the effect of pre-slaughter weight growth from 100 to 120 kg on the change of slaughter indicators in Landrace pigs of Irish origin. Two groups with equal numbers of </span><span>gilts</span><span> and b</span><span>arrows</span><span> were</span><span> fattened in identical piggeries</span><span>. Two groups with equal numbers of gilts and barrows were fattened in identical piggeries and then they were divided into two groups </span><span>by</span><span> weighing.</span><span> </span><span>First</span><span> group included 30 pigs weighing 100 kg, </span><span>second</span><span> group included 30 pigs weighing 120 kg. </span><span>P</span><span>igs were slaughtered, their carcasses </span><span>were </span><span>debon</span><span>ed</span><span> and carcass parameters were measured. A significant correlation was found between pre-slaughter weight and weight of chilled carcass r = 0.95, carcass length r = 0.76, bacon half length r = 0.74, </span><span>fat</span><span> thickness over 6-7 thoracic vertebra</span><span>e</span><span> r = 0.49, </span><span>fat</span><span> thickness </span><span>in the</span><span> withers r = 0.49, area of the longest back muscle r = 0.47, carcass weight loss </span><span>after</span><span> cooling r = 0.37, fat thickness in the buttocks r = 0.23, slaughter yield r = -0.16 and meat content in the carcass r = -0.08.</span><span> </span><span>The increase in pre-slaughter weight by 1 kg after reaching 100 kg, led to an increase in slaughter weight by 0.73 kg of chilled carcass weight by 0.70, fat thickness over 6-7 thoracic vertebrae by 0.25 mm, fat thickness at withers by 0, 28 mm, carcass length by 0.27 cm, bacon half length by 0.24 cm and longest back muscle area 0.22 cm<sup>2</sup>.</span></p>

opencc-zeroJun 2022View details →
dryad24/100

Data from: Signatures of diversifying selection in European pig breeds

[No abstract entered]

opencc-zeroDec 2012View details →
zenodo24/100

Integration of single-cell transcriptome and chromatin accessibility of early gonads development among goats, pigs, macaques, and humans

<p>The early gonads of mammals contain primordial germ cells (PGCs) and somatic cell precursors that are essential for sex determination and gametogenesis. Although it is extensively documented in mice, the development of early gonads in non-rodents remains to be delineated. Because molecular differences between mouse and human gonadal cells have been reported, it warrants the study of the key markers and regulatory features that are conserved or divergent between non-rodent species and human. Here, we integrate single-cell transcriptome and chromatin accessibility analysis to identify regulatory signatures of PGCs and somatic cells in the early gonads of goats, pigs, macaques, and humans. We identify the evolutionarily conserved and species-specific events, including genes expression, signaling pathways, and cell-cell interactions. We also uncover potential cis-regulatory elements and key transcription factors in PGCs and somatic cells. Our datasets provide important resources for better understanding the evolutionary programs of PGCs and gonadal somatic cell development in mammals.</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