21 to 30 of 54,512 Results
Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.5 MB -
MD5: 7b4e7699a7cd4fdbd67900fe764a3444
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.6 MB -
MD5: 7a394844268693758870f9b59b9544fb
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.6 MB -
MD5: e4cd6ee48c924554f47ca9b9b5b9bcd0
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.9 MB -
MD5: 609ffbe21e326933eb445acd79994134
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 14.1 MB -
MD5: 3255d48579fba595550f952d37d3acce
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Apr 22, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "Code for modeling WASH components by RTMB", https://doi.org/10.18130/V3/ED1WNW, University of Virginia Dataverse, V3
The repository contains two R code files: data preprocessing and model/prediction/evaluation files. |
Apr 22, 2026 -
Code for modeling WASH components by RTMB
R Syntax - 42.5 KB -
MD5: fd575864c046d9f930d92a922af56f5b
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Apr 21, 2026 - School of Medicine
Rosenthal, Eric S.; Kamaleswaran, Rishikesan; Strekalova, Yulia Levites; Williams, Andrew E.; Cordes, Ashley; Williams, Ishan C.; Rashidi, Parisa; Evans, Barbara J.; Moorman, J. Randall; Park, Soojin; Amorim, Edilberto; Vespa, Paul M.; Jiang, Xiaoqian; Liu, Hongfang; Podgoreanu, Mihai V.; Herasevich, Vitaly; Wainwright, Mark; Barros, Andrew J.; Sullivan, Brynne A.; Young, Michael J.; Alvarez, Marta; Talapova, Polina; Muszynski, Jennifer A.; Gent, Alasdair; Bold, Delgersuren; Kwong, Manlik; Gunda, Dileep; Le, Jackie; Loar, India; Gow, Brian J.; Schmidt, Heidi; Houghtaling, Jared; Miller, Robert T.; Clark, Timothy; Ashe, William B.; Pan, Tony C.; Pollard, Tom J.; McCrary, Ciera; Bihorac, Azra; Hu, Xiao; Clermont, Gilles, 2026, "Data Manifest for Collaborative Hospital Repository Uniting Standards (CHoRUS) April 2026", https://doi.org/10.18130/V3/XNBOPG, University of Virginia Dataverse, V1
Access Protected Enclave Data: http://chorus4ai.org/dataset The Collaborative Hospital Repository Uniting Standards (CHoRUS) for Clinical Care AI is a clinical data network developing a flagship multi-hospital, multimodal, high-resolution dataset under the NIH Bridge2AI program. CHoRUS harmonizes electronic health record (EHR) data, imaging, high-r... |
Apr 21, 2026 -
Data Manifest for Collaborative Hospital Repository Uniting Standards (CHoRUS) April 2026
JSON - 7.5 KB -
MD5: 8d4067d9e1192f580360e26737cec820
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Apr 21, 2026 -
Data Manifest for Collaborative Hospital Repository Uniting Standards (CHoRUS) April 2026
HTML - 60.7 KB -
MD5: 661da7c2146af29791f653e674b4f0af
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