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Dataset results
14 results for “Olink”
Regional summary statistics for 1107 protein targets based on the Olink technology
<p>This data set contains regional summary statistics (±500kb around the protein coding gene) for a total of 1107 protein - gene combinations as measured by the Olink Proximity Extension Assay in the Fenland study (https://www.mrc-epid.cam.ac.uk/research/studies/fenland/) among 485 individuals. A detailed description of the genetic analysis can be found here https://www.nature.com/articles/s41467-021-27164-0. </p>
Fine-mapped summary statistics for protein coding regions (i.e. cis regions) based on the Olink Explore 1536 and Explore Expansion technologies
<p>This data set contains fine-mapping results performed by SuSie for cis regions ±500kb around the protein coding gene) for protein targets as measured by the Olink Explore 1536 and Explore Expansion technologies in 1,180 individuals from EPIC Norfolk study (https://www.epic-norfolk.org.uk/). Only protein targets where fine-mapping predicted at least one credible set were included in the results. </p>
Dataset: Olink Holding AB (publ) (OLK) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Long COVID IRIS Study Olink Proteomics Dataset
<p>Plasma samples collected from Stanford University's “Infection Recovery in SARS-CoV-2” (IRIS) study participants during acute SARS-CoV-2 infection, approximately 3 months post infection, and approximately 12 months post infection were analyzed using the Olink® Target 96 Inflammation panel and Olink® Target 96 Immune Response panel. </p> <p>Proteomic data were obtained from the Olink biomarker platform and presented as "NPX" (i.e. Normalized Protein eXpression) for each protein assay. The dataset features de-identified patient metadata, including participant study number (i.e. IRIS_number), sex, long COVID status (0 = recovered; 1 = Long COVID), and timepoint of the plasma sample (i.e. acute infection sample, approximately 3 months post infection, or approximately 12 months post infection). </p> <p>Notes:</p> <ul> <li>Consistent with the World Health Organization (WHO) definition, long COVID was defined in this study as the continuation or development of symptoms three months after SARS-CoV-2 infection, which were not readily attributable to other etiologies.</li> <li>For acute infection samples, long COVID status (0 = recovered; 1 = Long COVID) refers to whether the patient will have fully recovered or will have long COVID at 3 months post infection. </li> <li>For 3 month samples, long COVID status (0 = recovered; 1 = Long COVID) refers to whether the patient has fully recovered or has long COVID at 3 months post infection.</li> <li>For 12 month samples, long COVID status (0 = recovered; 1 = Long COVID) refers to whether the patient has fully recovered or has ongoing long COVID at 12 months post infection, but these patients all had long COVID at 3 months post infection.</li> </ul>
Summary statistics of cis-pQTLs for plasma proteins measured using Olink Explore I and II technology in the KARMA cohort.
<p>This data set contains summary statistics for cis regions (+/- 1 Mb around the protein coding gene) for proteins measured by the Olink Explore I and II technology in pre-diagnostic plasma samples from 299 Breast Cancer cases and 299 Breast Cancer free controls from the KARMA cohort. Only proteins detected in at least 25% of individuals are included in this data set. Data set from <a href="https://www.researchsquare.com/article/rs-2749047/v1">Evaluation of Circulating Plasma Proteins in Breast Cancer: A Mendelian Randomization Analysis | Research Square</a></p>
Olink-Improve
<p>Summary statistics from an association study comparing the concentration levels of 83 serum proteins with the genome-wide genetic variation, in 3,394 individuals. Protein-number-code:</p> <p>No_in_GWAS_files gene<br> 1 IL8<br> 2 VEGFA<br> 3 ADM<br> 4 CD40LG<br> 5 GDF15<br> 6 PGF<br> 7 SELE<br> 8 EGF<br> 9 TNFRSF11B<br> 10 SRC<br> 11 IL6<br> 12 CSTB<br> 13 CCL2<br> 14 KLK6<br> 15 LGALS3<br> 16 F2R<br> 17 KLK11<br> 18 TEK<br> 19 F3<br> 20 TNFSF11<br> 21 PDGFB<br> 22 IL27<br> 23 CSF1<br> 24 CXCL1<br> 25 OLR1<br> 26 TNFRSF10B<br> 27 FGF23<br> 28 KITLG<br> 29 IL18<br> 30 IL6R<br> 31 TNFSF14<br> 32 MMP3<br> 33 HSPB1<br> 34 TNFSF10<br> 35 PRL<br> 36 MPO<br> 37 GH1<br> 38 MMP1<br> 39 RETN<br> 40 FAS<br> 41 PAPPA<br> 42 REN<br> 43 CHI3L1<br> 44 IL1RL1<br> 45 HAVCR1<br> 46 NGF<br> 47 XPNPEP2<br> 48 TNFRSF1B<br> 49 HGF<br> 50 MB<br> 51 THBD<br> 52 IL16<br> 53 MMP10<br> 54 PLAUR<br> 55 CCL4<br> 56 CTSD<br> 57 AGER<br> 58 CCL3<br> 59 MMP7<br> 60 CXCL6<br> 61 CXCL16<br> 62 DKK1<br> 63 GAL<br> 64 AGRP<br> 65 CD40<br> 66 PLAT<br> 67 HBEGF<br> 68 ESM1<br> 69 FIGF<br> 70 MMP12<br> 71 SPON1<br> 72 CTSL1<br> 73 CX3CL1<br> 74 FABP4<br> 75 BNP<br> 76 LEP<br> 77 CCL20<br> 78 MUC16<br> 79 IKBKG<br> 80 FST<br> 81 PECAM1<br> 82 NPPB<br> 83 RNASE3<br> </p>
Processed OLINK serum proteomics data MIS-C patients versus healthy controls
<p>This dataset contains processed OLINK serum proteomics data MIS-C patients versus healthy controls. Data was generated by Diorio et al. (Diorio, C., Shraim, R., Vella, L.A. <em>et al.</em> Proteomic profiling of MIS-C patients indicates heterogeneity relating to interferon gamma dysregulation and vascular endothelial dysfunction. <em>Nat Commun</em> <strong>12</strong>, 7222 (2021). https://doi.org/10.1038/s41467-021-27544-6). Processing in format provided here was done by dr. Levi Hoste. This table is used in the MultiNicheNet package (https://github.com/saeyslab/multinichenetr) and mentioned in the updated corresponding manuscript. </p>
Olink data for 'Identification of soluble biomarkers that associate with distinct manifestations of long COVID'
<p>Olink analysis output from plasma samples from healthy donors and donors with post-acute sequelae of SARS-CoV-2 infection. Data sourced from two cohorts - UK and Sweden based. UK patients with long covid start with CA. UK healthy controls start with CO. Swedish donors only include patients with long covid and start with KLIMP. Assays from the following panels were tested: Explore 384 Cardiometabolic, Explore 384 Cardiometabolic II, Explore 384 Inflammation, Explore 384 Inflammation II, Explore 384 Neurology, Explore 384 Neurology II, Explore 384 Oncology, Explore 384 Oncology II. </p> <p>Data relates to the manuscript titled 'Identification of soluble biomarkers that associate with distinct manifestations of long COVID'.</p>
Olink proteomic data for RESERVE-U-1-EBB and RESERVE-U-2-TOR
Open the record for dataset details and reuse information.
Hawkes et al 2025 UKB-WGS-Olink Summary Statistics
<p>Summary statistics for Hawkes et. al 202X "Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regulatory regions associated with circulating protein levels". Single variant summary statistics (minor allele count >=5) for EUR, AFR and SAS ancestries, and aggregates for EUR-only .</p>
IVIM & OLINK in Sarcoma
ClinicalTrials.gov study NCT05950594. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Plasma Proteomics Study of End-Stage Liver Disease Patients Based on Olink Technology
ClinicalTrials.gov study NCT06865898. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of tofacitinib in cutaneous sarcoidosis [Olink Explore 1536]
GEO Series GSE169148. Homo sapiens. 31 samples. Type: Other.
DNases improve effectiveness of antibiotic treatment in the celiac ligation and puncture model of murine sepsis: Olink proteomic analysis
<p>Neutrophil extracellular traps (NETs) exhibit both advantageous and harmful effects in the body, with some bacteria evading the immune system when entangled in NETs. This study aims to assess the impact of a combined therapy involving DNase and antibiotics in a murine model of abdominal sepsis.</p>
ScienceDex guides
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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.