Exploration of immune phenotypes in self-sampling citizens

Open data API in a single place

Provided by Kungliga Tekniska högskolan

Get early access to Exploration of immune phenotypes in self-sampling citizens API!

Let us know and we will figure it out for you.

Dataset information

Country of origin
Updated
2026.01.08 00:00
Created
2026.01.08
Available languages
English
Keywords
Infectious diseases, Medical biochemistry - proteins and peptides (incl. medical proteomics), Humoural immunology and immunochemistry, Translational and applied bioinformatics, Proteomics and metabolomics
Quality scoring

Dataset description

This dataset contains levels of circulating antibodies and proteins measured in dried blood spot (DBS) samples. Study participants from the general population in Stockholm and Gothenburg (Sweden) self-sampled blood using sampling kits (Capitainer AB) during the spring of 2021. - Levels of circulating antibodies were determined by multi-analyte serology using the Luminex platform. The data has been processed and normalised using a mixed model, followed by a Z-score transformation. - Levels of circulating proteins were determined by proximity extension assays using the Olink Explore Inflammation panel from the Olink platform and NULISA-Seq using the 250-plex inflammation panel from Alamar Biosciences. The raw data has been processed using ProtPQN (https://doi.org/10.5281/zenodo.12731705) , followed by a Z-score transformation. The files contain the following data and information: - antigen_info.csv: Information about the antigens used in the serology assays. - protein_data.csv: Proteomics measurements in wide format (each row a sample, each column a protein). - protein_info.csv: Information about the proteins included in the proteomics assays. - sample_info.csv: Information about the samples. - serology_data.csv: Serological measurements in wide format. - readme.txt: Additional details about the file contents. Access to this data can be granted for non-commercial validation purposes and upon reasonable request to the provided contact. A reasonable request should contain the following: - Name of PI and host organisation - Contact details - The scientific purpose of the data access request - Commitment to inform when the data has been used in a publication - Commitment not to host or share the data outside the requesting organisation - Statement of non-commercial use of data
European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.
190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
FAQ

Questions before production use

Practical answers on evaluation, licensing, freshness, versioning and support.

api.store is built and operated by Apitalks s.r.o. Company details and a direct contact path are linked in the footer for vendor checks and procurement review.
Yes. Selected APIs include a free API quota, so your team can validate coverage, freshness, response shape and workflow fit before asking for a production plan.
Often yes, but usage rights depend on the source license and dataset. We surface source, license and update metadata where available, and can help review terms before a production integration.
Maintained APIs include update metadata where available. For production integrations, we can add history, monitoring and push updates so changes are easier to detect and act on.
Production APIs can add SLA, stable identifiers, versioning support, history, push updates and direct support around the data your product or AI workflow depends on.

Didn't find the API you need?

Let us know and we will figure it out for you.

European data discovery with free evaluation access and production-grade API options.

Copyright © 2026. Made by Apitalks