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.
7,195
datasets available to search
ShareScore release 0.9.0
Dataset results
7,195 results for “SET”
Derivation of kidney organoids from human pluripotent stem cells [RNA-Seq: Data Set 1]
GEO Series GSE108349. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Derivation of kidney organoids from human pluripotent stem cells [RNA-Seq: Data Set 2]
GEO Series GSE108350. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Primary constitutional MLH1 epimutations: a focal epigenetic event [blood data sets]
GEO Series GSE107351. Homo sapiens. 116 samples. Type: Methylation profiling by genome tiling array.
CHD chromatin remodelers regulate separate gene sets and distinct stages of Dictyostelium development
GEO Series GSE47222. Dictyostelium discoideum. 8 samples. Type: Expression profiling by high throughput sequencing.
Surface modified titanium dioxide nanoparticles induce fibrosis-like changes in lungs at high doses [set 2]
GEO Series GSE81565. Mus musculus. 39 samples. Type: Expression profiling by array.
Hi-C in wild-type and SmcHD1 MommeD1 MEFs, first set
GEO Series GSE115983. Mus musculus. 4 samples. Type: Other.
Transcriptional responses in various normal mouse tissues after 24 h following 4 MV photon beam irradiation using three partial body irradiation set-ups
GEO Series GSE66372. Mus musculus. 88 samples. Type: Expression profiling by array.
Post-zygotic structural variants in histologically normal breast tissue may predispose to sporadic breast cancer [SET 7]
GEO Series GSE64725. Homo sapiens. 100 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues [wgbs_set]
GEO Series GSE233088. Homo sapiens. 10 samples. Type: Methylation profiling by high throughput sequencing.
microRNA alterations associated to clinical response in advanced stage ovarian cancer patients (test set)
GEO Series GSE25203. Homo sapiens. 30 samples. Type: Non-coding RNA profiling by array.
Transcriptomic analysis of cultured primed synovial fibroblasts from monosodium urate crystal-induced arthritis in the mouse (validation set of samples)
GEO Series GSE163749. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
SET-9 and SET-26, the C. elegans homologs of human MLL5, are critical for germline development and longevity
GEO Series GSE100623. Caenorhabditis elegans. 24 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
In severe COVID-19, SARS-CoV-2 induces a chronic, TGF-β-dominated adaptive immune response (Activated B cells, set 1)
GEO Series GSE158030. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.
The Human Testis Cell Atlas via Single-cell RNA-seq (Healthy men scRNA-seq data set)
GEO Series GSE112013. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Uniform approach for pathway and gene-set based analysis of heterogeneity in single-cell epigenome and transcriptome profiles
GEO Series GSE156138. Homo sapiens. 162 samples. Type: Expression profiling by high throughput sequencing.
Geriatric muscle stem cells switch reversible quiescence into senescence (Set 4; Bmi1-deficient)
GEO Series GSE53727. Mus musculus. 9 samples. Type: Expression profiling by array.
Data set of resilience indices to drought and prescribed burning of Pinus nigra ssp. salzmannii and P. sylvestris L. trees
<p>Data on resilience and resistance indices to drought and burning inferred from tree ring width and carbon 13 isotopes for burned and unburned <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris </em>trees<em>.</em>The dataset contains two files:</p> <p>TreeGrowth.txt: Data on resilience and resistance indices to drought and prescribed burning as well as the ratio of latewood to earlywood. Indices are inferred from total tree-ring, earlywood, and latewood widths. Included variables:</p> <ul> <li> Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li> Idplot (factor): code to identify uniquely burned plots. Four levels: Miravé-Fall (1), Mirave-Spring (2), Lloreda-Fall (3) and Lloreda-Spring (4).</li> <li>Treatment (factor): whether the plot was burned or not. Two levels: control or left unburned (C) or burned (B)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall burn (F) or spring burn (S)</li> <li>Sp (factor): species. Two levels: <em>Pinus sylvestris</em> (ps) or<em> Pinus nigra </em>(pn)</li> <li>TreeCode (numeric): code to identify trees in the field</li> <li>dbh (numeric): diameter at breast height (cm)</li> <li>c12 (numeric): competition index before burning</li> <li>rci15 (numeric): release from tree competition 2 years post-burning calculated as the difference between pre (CI12) and post-burning competition (CI15) indices relative to pre-burning levels </li> <li>bchmin (numeric): minimum bole scorch height (cm)</li> <li>bchmax (numeric): maximum bole scorch height (cm)</li> <li>whiteAshes (numeric): white ashes after burning (%, in 1m radius from tree center)</li> <li>Resistance (numeric): Average basal area increment (BAI) during the stress period (drought 2012 and prescribed burning 2013) divided by the average BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR (numeric): Average total tree ring BAI of the two years after the stress period (2014 and 2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR14 (numeric): Total tree ring BAI of the first year after the stress period (2014) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR15 (numeric): Total tree ring BAI of the second year after the stress period (2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW (numeric): Average earlywood BAI of the two years after the stress period (2014 and 2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW14 (numeric): Earlywood BAI of the first year after the stress period (2014) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW15 (numeric): Earlywood BAI of the second year after the stress period (2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW (numeric): Average latewood BAI of the two years after the stress period (2014 and 2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW14 (numeric): Latewood BAI of the first year after the stress period (2014) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW15 (numeric): Latewood BAI of the second year after the stress period (2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>preLWEW (numeric): mean pre-stress ratio of latewood to earlywood calculated for the period 2006-2011</li> <li>difLWEW (numeric): mean post-stress latewood:earlywood (2014-2015) minus mean pre-stress latewood:earlywood (2006-2011)</li> </ul> <p>d13c.txt: Early and late-wood carbon 13 isotope from 2011 to 2015 for <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris</em> burned in spring and fall in year 2013 at two sites. </p> <ul> <li>Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li>Sp (factor): species. Two levels: Pinus sylvestris (ps) or Pinus nigra (pn)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall (F) or spring (S)</li> <li>TreeCode (factor): code to identify trees in the field."Pool" means that a pool of 5 individuals was used to determine carbon 13 isotope.</li> <li>SeasonalGrowth (factor): seasonal wood growth. Two levels: earlywood (E) and latewood (L).</li> <li>year (numeric): calendar year.</li> <li>d13c (numeric): carbon 13 isotope<br> </li> </ul>
NYC Real-Time Traffic Speed Data Set (2015-2019)
This repository is an urban traffic speed data set (2015-2019) collected in New York City. 中文描述: 本数据集为纽约城市路网车速数据集, 采集时间为2015年4月至2019年3月, 数据文件是以csv格式保存, csv文件名为【年份 + 月份】.
Gold standard taxonomic profile of the CAMI 2 Mouse Gut Toy data set, samples 0-63
<p><strong>DataURL: </strong> https://data.cami-challenge.org/participate</p>
INTEGRAL/ISGRI 20-40 keV image of the NGC 2110 region extracted from a set of 50 randomly selected ScW
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?DEC=-7.4562469444444&E1_keV=20&E2_keV=40&RA=88.0474&T1=2003-03-15T23:27:40.0&T2=2018-03-16T00:03:15.0&T_format=isot&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_image&query_status=new&query_type=Real&radius=10&src_name=NGC+2110&use_scws=no">Reproduce in ODA</a></p>
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.