5743204
doi
10.5281/zenodo.5743204
oai:zenodo.org:5743204
user-nanosolveit
user-nsc
user-eu
user-nanoriskgovernance
RDF version of the data from Choi, JS. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources (2018)
Ammar Ammar
Maastricht University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
nanomaterial cytotoxicity
cytotoxicity prediction
nanoparticles
nanosafety
nano safety
<p>This is an RDFied version of the dataset published in Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)</p>
<p>The original dataset publication DOI: <a href="https://doi.org/10.1038/s41598-018-24483-z">https://doi.org/10.1038/s41598-018-24483-z</a></p>
<p>The Original publication authors: Jang-Sik Choi, My Kieu Ha, Tung Xuan Trinh, Tae Hyun Yoon & Hyung-Gi Byun</p>
Zenodo
2021-07-09
info:eu-repo/semantics/other
5084825
user-nanosolveit
user-nsc
user-eu
user-nanoriskgovernance
1.1
award_title=Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT); award_number=814572; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/814572; funder_id=00k4n6c32; funder_name=European Commission;
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md5:18d708e1818e5ae24e363241722a84e8
https://zenodo.org/records/5743204/files/10.1038--s41598-018-24483-z.nq
public
10.5281/zenodo.5084825
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