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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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341 to 350 of 556 Results
Nov 5, 2020 - Bericht der Römisch-Germanischen Kommission
Regenye, Judit, 2020, "Narratives for Lengyel funerary practice (Supplementary Material)", https://doi.org/10.11588/data/2EVBVW, heiDATA, V1, UNF:6:MxTchY/kk0cK40hJKw0Jjw== [fileUNF]
Supplementary tables 1–6; supplementary figures 1–3
Jul 5, 2021 - NATCOOP
Diekert, Florian; Schaap, Robbert-Jan; Eymess, Tillmann, 2022, "NATCOOP dataset", https://doi.org/10.11588/data/GV8NBL, heiDATA, V1, UNF:6:3YvGZs4Tn05DRKwdxpNhwA== [fileUNF]
The NATCOOP project set out to study how nature shapes the preferences and incentives of economic agents and how this in turn affects common-pool resource management. Imagine a group of fishermen targeting a species that requires a lot of teamwork to harvest. Do these fishers bec...
Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Kotnis, Bhushan, 2019, "Negative Sampling for Learning Knowledge Graph Embeddings", https://doi.org/10.11588/data/YYULL2, heiDATA, V1
Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure o...
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...
May 26, 2020 - Heidelberg Centre for Transcultural Studies (HCTS)
Brosius, Christiane; Michaels, Axel, 2020, "Nepal Heritage Documentation Project, NHDP", https://doi.org/10.11588/data/A9DCZA, heiDATA, V1
DANAM is the Digital Archive for Nepalese Art and Monuments and the heart of the Nepal Heritage Documentation Project (NHDP), located at the Heidelberg Centre of Transcultural Studies (HCTS) and the Academy of Sciences (AdW) and operated in cooperation with Saraf Foundation and t...
Aug 11, 2022 - Bunz Group
Wiesner, Thomas, 2022, "Neuartige Azaacene – Synthese und Anwendung in organischen Feldeffekttransistoren [Data]", https://doi.org/10.11588/data/AYZTZF, heiDATA, V1
Die vorliegende Dissertation befasst sich mit der Synthese und Charakterisierung neuartiger Azaacene und Aza-acenoacene aus Acridonen. Dabei steht der Einfluss der Regioisomerie auf die Kristallpackung und die potentielle Anwendung als Halbleitermaterial in organischen Feldeffekt...
Jul 19, 2018 - Germania
Fröhlich, Nico; Lüning, Jens, 2018, "Neue Untersuchungen zur absoluten Datierung des Männergrabes und der Siedlung auf dem ältestbandkeramischen Fundplatz Schwanfeld, Ldkr. Schweinfurt, Unterfranken [Supplement]", https://doi.org/10.11588/data/B70P7M, heiDATA, V1
Abstract: Das bekannte Grab des sogenannten „Jäger / Kriegers“ aus der ältestbandkeramischen Siedlung von Schwanfeld in Unterfranken galt aufgrund seiner Radiocarbondatierung lange als frühester Beleg der Neolithisierung im westlichen Mitteleuropa. Da sich die seinerzeitige Probe...
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Fankhauser, Peter; Do, Bich-Ngoc; Kupietz, Marc, 2023, "Neural Dependency Parser with Biaffine Attention", https://doi.org/10.11588/data/DZ9MUS, heiDATA, V1
This resource contains the code of the dependency parser used in the paper: Fankhauser, et al. (2020). "Evaluating a Dependency Parser on DeReKo". The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017). In addition, we include two pre-trai...
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Dependency Parser with Biaffine Attention and BERT Embeddings", https://doi.org/10.11588/data/0U6IWL, heiDATA, V1
This resource contains the code of the dependency parser used in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017) and is extended to use the BERT...
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural PP Attachment Disambiguation Systems", https://doi.org/10.11588/data/DKWKGJ, heiDATA, V1
This resource contains code for different types of neural PP attachment disambiguation systems: A disambiguation system inspired by de Kok et al. (2017) but with the ranking loss function. A disambiguation system with biaffine attention similar to the neural dependency parser in...
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