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Jan 20, 2021 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF]
The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a...
Tab-Delimited - 19.7 KB - MD5: 0f6e049cae118929ae2265482e3b76b6
Data
Markdown Text - 1.2 KB - MD5: 2fb7128786b3a52452273bb4546963c5
Documentation
Jan 13, 2021 - GIScience and 3D Spatial Data Processing
Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1
This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...
Jan 7, 2021 - Stoecklin_BCH_MI3
Eiermann, Nina; Stoecklin, Georg, 2021, "Image-based screening for stress granule regulators", https://doi.org/10.11588/data/KRPJ9A, heiDATA, V1
The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the...
Unknown - 16.5 KB - MD5: f948d0fec88c4045e42a6f4aa69bf1be
Plain Text - 16.9 KB - MD5: 03d13078ebae2a185729c9d41d9bb5dd
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