51 to 60 of 117 Results
Aug 2, 2022 - NCT - Section of Translational Medical Ethics
Anger, Michael; Wendelborn, Christian; Winkler, Eva; Schickhardt, Christoph, 2022, "Neither Carrots nor Sticks? Challenges surrounding Data Sharing from the Perspective of Research Funding Agencies – A Qualitative Expert Interview Study [Interview Excerpts]", https://doi.org/10.11588/data/M2TSIT, heiDATA, V1
This dataset contains summaries from interviews with data sharing experts from internationa funding agencies on their organisation's data sharing policy. Data Sharing is widely recognised as crucial for accelerating scientific research and improving its quality. However, data sha... |
Aug 2, 2022 - Computer Assisted Clinical Medicine
Brumer, Irene, 2022, "Synthetic renal ASL MRI [data]", https://doi.org/10.11588/data/QAHWSF, heiDATA, V1
Synthetic renal ASL data sets simulating in-vivo acquisitions were generated using body models from the XCAT phantom, the general kinetic model and literature values for tissue properties. Sequence and ASL parameters were set in accordance with the current renal ASL consensus. Fi... |
Jul 19, 2022 - Prof. Rohini Kuner's lab
Oswald, Manfred Josef; Han, Yechao; Kuner, Rohini, 2022, "A novel role for the cholinergic basal forebrain nucleus of Meynert in chronic pain via modulation of the prelimbic cortex", https://doi.org/10.11588/data/ET9G9X, heiDATA, V1
This dataset contains all raw electrophysiology data and associated analysis procedures reported in Oswald et al. Cholinergic basal forebrain nucleus of Meynert regulates chronic pain-like behaviour via modulation of the prelimbic cortex. Nat Comm (2022). Abstract: The basal nucl... |
Jul 14, 2022 - Computer Assisted Clinical Medicine
Zöllner, Frank, 2022, "Synthesis of CT images from digital body phantoms using CycleGAN [dataset]", https://doi.org/10.11588/data/7NRFYC, heiDATA, V1
The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data... |
Jun 23, 2022 - Translational Health Economics
Jevdjevic, Milica; Listl, Stefan, 2022, "Economic impacts of oral diseases in 2019 - data for 194 countries", https://doi.org/10.11588/data/JGJKK0, heiDATA, V1, UNF:6:vnazrLSpgQXypPHGj+JjLQ== [fileUNF]
Data for the global, regional, and country-level economic impacts of oral diseases in 2019. Methodology is based on: (1) Listl S, Galloway J, Mossey PA, Marcenes W. Global Economic Impact of Dental Diseases. J Dent Res. 2015;94:1355-61. (2) Righolt AJ, Jevdjevic M, Marcenes W, Li... |
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,... |
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... |
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. |
Köngeter, Anja; Schickhardt, Christoph; Jungkunz, Martin; Bergbold, Susanne; Mehlis, Katja; Winkler, Eva C., 2022, "Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany [Research Data]", https://doi.org/10.11588/data/PJCNTN, heiDATA, V1, UNF:6:99L9bfx4Dn3tAnJUqEDQVw== [fileUNF]
This is the research data of the publication "Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models. Findings from a representative survey of cancer patients in Germany." The research data includes the questionnaire,... |
May 30, 2022 - AG Lindner - Experimental Anesthesiology
Lindner, Holger, 2022, "Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis from SIRS on ICU Admission", https://doi.org/10.11588/data/EIXOPN, heiDATA, V1, UNF:6:ZU8BBGGans0NwnKgxMjy8w== [fileUNF]
Background: Infection can induce granulopoiesis. This process potentially gives rise to blood gene classifiers of sepsis in systemic inflammatory response syndrome (SIRS) patients. The aim of this study was to identify sepsis signature genes in blood granulocytes from patients wi... |
