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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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3,791 to 3,800 of 9,725 Results
Social and Cognitive Congruence [Data]
Jun 15, 2022 - Forschungsgruppe AG Nikendei
Ivo Rollmann, 2022, "Social and Cognitive Congruence [Data]", https://doi.org/10.11588/data/GEEBLZ, heiDATA, V1, UNF:6:0usUjPJ6fAea5SEs9INPAw== [fileUNF]
This dataset contains the R-Script of our Evaluation and the dataset on which our results are based.
Sonografie-SCC-bereinigtes-R-Skript.R
Jun 15, 2022 - Social and Cognitive Congruence [Data]
R Syntax - 27.2 KB - MD5: 3404039896648618b44d651f81ce5605
Code
Sonografie-SCC-Rohdaten.tab
Jun 15, 2022 - Social and Cognitive Congruence [Data]
Tabular Data - 13.0 KB - 76 Variables, 45 Observations - UNF:6:0usUjPJ6fAea5SEs9INPAw==
Data
User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Jun 17, 2022 - Division of Infectious Disease and Tropical Medicine
Herrmann, Yannis; Lainati, Federica; del Mar Castro, María; Mwamba, Chanda; Kumwenda, Moses; Muyoyeta, Monde; Broger, Tobias; Heinrich, Norbert; Olbrich, Lisa; Corbett, Elizabeth; McMahon, Shannon; Engel, Nora; Denkinger, Claudia, 2022, "User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]", https://doi.org/10.11588/data/PLRQCZ, heiDATA, V1
This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:"User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia"). The repository contains our d...
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__AnalysisMemos.pdf
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__AnalysisMemos.pdf
Jun 17, 2022 - User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Adobe PDF - 283.7 KB - MD5: 7f00cdb9c5e83223827d4af412c14848
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__Repository.pdf
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__Repository.pdf
Jun 17, 2022 - User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Adobe PDF - 355.3 KB - MD5: e3e2fad683d2e67d6e2fcef7c27a7e80
Multimodal ground truth datasets for abdominal medical image registration [data]
Jun 22, 2022 - Computer Assisted Clinical Medicine
Zöllner, Frank, 2022, "Multimodal ground truth datasets for abdominal medical image registration [data]", https://doi.org/10.11588/data/ICSFUS, heiDATA, V1
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data,...
CBCT.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 25.4 GB - MD5: 5827c4d57139e094fd58b32417b8b436
CT.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 2.8 GB - MD5: d68291bee7870146b4c72ea475a23a67
MR.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 3.5 GB - MD5: 7ecd9b894710d6269f28e63d4e668b57
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