Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts

DOI

Water images

Date Submitted: 2022-06-15

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Identifier
DOI	https://doi.org/10.17026/dans-2bd-ufvk
Metadata Access	https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-2bd-ufvk

Provenance
Creator	R. Hall Clifford
Publisher	DANS Data Station Life Sciences
Contributor	Rachel Hall-Clifford
Publication Year	2022
Rights	CC-BY-NC-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess	true
Contact	Rachel Hall-Clifford (Emory University)