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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by the Competence Centre for Research Data, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please see our author instructions and get in touch with us.
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31 to 40 of 409 Results
Nov 24, 2021
Research data related to PhD projects at the Faculty of Modern Languages of Heidelberg University.
Nov 19, 2021 - Quartär – Internationales Jahrbuch zur Erforschung des Eiszeitalters und der Steinzeit
Weiss, Marcel, 2021, "Ergänzungsmaterial zu: Stone tool analysis and context of a new late Middle Paleolithic site in western central Europe – Pouch-Terrassenpfeiler, Ldkr. Anhalt-Bitterfeld, Germany", https://doi.org/10.11588/data/YRDLT3, heiDATA, V1
Eine neue spätmittelpaläolithische Fundstelle im westlichen Mitteleuropa – Pouch-Terrassenpfeiler, Ldkr. Anhalt-Bitterfeld, Deutschland. Steinartefaktanalyse und mitteldeutscher Kontext
Nov 19, 2021Propylaeum@heiDATA
Forschungsdaten zu Publikationen bei "Quartär – Internationales Jahrbuch zur Erforschung des Eiszeitalters und der Steinzeit".
Nov 17, 2021 - Medical Informatics
Benning, Nils-Hendrik; Knaup, Petra; Rupp, Rüdiger, 2021, "Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]", https://doi.org/10.11588/data/P1HEGO, heiDATA, V1, UNF:6:br0+tP0XWfzu+FGO7V4qLw== [fileUNF]
This dataset contains the results (manually counted pushes and pushes counted by Apple Watch Series 4) of the study presented in the paper "Accuracy of Activity Measurements with Newer Generations of Apple Watch in Wheelchair Users with Spinal Cord Injury”
Oct 27, 2021 - Institut für Politische Wissenschaft - AG Tosun
Tosun, Jale; Misic, Mile, 2021, "Post-communist countries and their participation in international forums on energy [Dataset]", https://doi.org/10.11588/data/3KTIBI, heiDATA, V1, UNF:6:jnCCF9JLEGkyHZVys6C9Jw== [fileUNF]
This dataset acompanies the paper "Post-communist countries and their participation in international forums on energy". This explorative analysis investigates in which international forums on energy Post-Communist countries participate and what motivates their participation. Theo...
Oct 25, 2021 - AWI Experimental Economics
Schmidt, Robert; Trautmann, Stefan T., 2021, "Implementing (Un)fair Procedures: Containing Favoritism When Unequal Outcomes are Inevitable [Dataset]", https://doi.org/10.11588/data/APBF7C, heiDATA, V1, UNF:6:nKEA/QBp0/zEXIMhsTG2og== [fileUNF]
We study the selection of people when unequal payoffs are inevitable, but fair procedures are feasible, as in selecting one person from several candidates for a job. We show that allocators may be influenced by their similarity with a recipi- ent, leading to favoritism in outcome...
Oct 22, 2021 - ARCHITRAVE
Ziegler, Hendrik; Pioch, Alexandra, 2021, "ARCHITRAVE [map visualization : data & software]", https://doi.org/10.11588/data/AT1QUR, heiDATA, V2
The dataset includes cartographic visualization data and software designed, implemented, and published for the ARCHITRAVE research project website. The research focused on the edition, executed in German and French, of six travelogues by German travelers of the Baroque period who...
Oct 18, 2021 - Heidelberg University Language and Cognition Lab
Kokje, Eesha; Gerwien, Johannes; Stutterheim, Christiane von, 2021, "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]", https://doi.org/10.11588/data/HBDRBY, heiDATA, V1, UNF:6:GCBciA3UU6l8DlEK+BoTlw== [fileUNF]
The data set contains the data associated with the study on "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment". The files include the javascript codes for running the experiments, the data, and example stimuli.
GIScience / Geoinformatics Research Group(Heidelberg University - Institute of Geography)
GIScience / Geoinformatics Research Group logo
Oct 12, 2021
Data publications of the GIScience Group at the Institute of Geography at Heidelberg University.
Oct 12, 2021 - GIScience / Geoinformatics Research Group
Li, Hao; Zech, Johannes; Ludwig, Christina; Fendrich, Sascha; Shapiro, Aurelie; Schultz, Michael; Zipf, Alexander, 2021, "Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]", https://doi.org/10.11588/data/AAKAF9, heiDATA, V1
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are importa...
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