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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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311 to 320 of 710 Results
Jun 15, 2021 - 3D Spatial Data Processing
Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1
The analysis of topographic time series is often based on bitemporal change detection and quantification. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...
Aug 23, 2022 - Institute of Medical Psychology
Hopf, Dora; Schneider, Ekaterina; Ditzen, Beate; Eckstein, Monika, 2022, "Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality [Research Data]", https://doi.org/10.11588/data/SYVQMM, heiDATA, V1, UNF:6:ASynYjAnlwnyKYrcI2WbFg== [fileUNF]
These data accompany the manuscript "Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality". Abstract: Loneliness and social isolation have become increasing concerns during COVID-19 lockdown t...
Feb 26, 2024 - RATIO_EXPLAIN
Becker, Maria, 2024, "LLMs4Implicit-Knowledge-Generation Public", https://doi.org/10.11588/data/5VTJ26, heiDATA, V1
Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key c...
Nov 23, 2020 - Heidelberg University Language and Cognition Lab
Stutterheim, Christiane von; Lambert, Monique; Gerwien, Johannes, 2020, "Limitations on the role of frequency in L2 acquisition [Dataset]", https://doi.org/10.11588/data/ZMWDP5, heiDATA, V2
This data set contains files associated with a study on motion event encoding in three L1 (French, German, English) and two L2 (German, English) groups of speakers. The L2 speakers are native speakers of French. Participants viewed short video clips and described them spontaneous...
Aug 16, 2023 - arthistoricum.net@heiDATA
Knaus, Gudrun; Kailus, Angela; Stein, Regine, 2022, "LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]", https://doi.org/10.11588/data/CHEPS6, heiDATA, V3
LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das "LIDO-Handbuch für die Erfassung u...
Jun 13, 2020 - Statistical Natural Language Processing Group
Beilharz, Benjamin; Sun, Xin, 2019, "LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition", https://doi.org/10.11588/data/TMEDTX, heiDATA, V2
This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the...
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1
This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.
Leuschner Lab(Heidelberg University Hospital )
Aug 27, 2020
Supplemental information on published data. Homepage
Sep 24, 2021 - AWI Experimental Economics
Vollmann, Martin; Schwieren, Christiane; Mattern, Margarete; Schnell, Knut, 2021, "Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data]", https://doi.org/10.11588/data/PRQILA, heiDATA, V1
Depression in the workplace is a significant factor for reduced personal well-being and productivity. Consequently, this has negative effects on the economic success of the companies in which depressed people are employed. In addition, the economy has to deal with the significant...
Jun 22, 2018 - Psychological Research Methods
Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...
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