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MS Excel Spreadsheet - 13.0 KB - MD5: 0645af1350bb7e85db5b31b843a5507a
Data
MS Excel Spreadsheet - 4.9 KB - MD5: 6cf3d8b1f600830a534a2d79acb34ba8
Data
MS Excel Spreadsheet - 5.1 KB - MD5: b3f0f93fd13140752a451e56db0b49c3
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Data
Sep 2, 2019 - Heidelberg University Language and Cognition Lab
Gerwien, Johannes, 2019, "The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]", https://doi.org/10.11588/data/L7QPUY, heiDATA, V1, UNF:6:Gpy3ySsey0gDHrTBkgp1Bg== [fileUNF]
This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) "The interpretation and prediction of event...
Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and...
Aug 23, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2019, "Twitter Titling Corpus", https://doi.org/10.11588/data/IOHXDF, heiDATA, V1, UNF:6:+F3lLKziwMvjy+xyktkilw== [fileUNF]
The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variat...
Aug 23, 2019 - Twitter Titling Corpus
Tabular Data - 219.0 KB - 5 Variables, 4002 Observations - UNF:6:+F3lLKziwMvjy+xyktkilw==
Data
Dec 16, 2019 - PhD related material - Geosciences
Ritter, Simon, 2019, "Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]", https://doi.org/10.11588/data/TMYLWS, heiDATA, V2, UNF:6:WXDVvAQ9OEYqhDjPXPlhqg== [fileUNF]
Hells Bells are unique bell-shaped underwater speleothems recently discovered in deep meromictic sinkholes (cenotes) on the Yucatán Peninsula, Mexico. In order to unravel the underwater growth of Hells Bells and identify the mechanism of subaqueous calcite precipita-tion, several...
May 21, 2019 - TS-CCEES
Kreyenberg, Philipp J.; Bauser, Hannes H.; Roth, Kurt, 2019, "Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]", https://doi.org/10.11588/data/7NEEKF, heiDATA, V1
This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the Middlebury .flo file format (http://vision....
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