11 to 20 of 592 Results
Feb 26, 2020 -
Age differences in emotion perception in a multiple target setting: An eye-tracking study [Dataset]
Plain Text - 1.4 KB -
MD5: 2c8a82ff3adf63d893a5830a385ca8e3
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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... |
Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 39.2 KB - 12 Variables, 278 Observations - UNF:6:KTSIR9YaRj4m2eoTFGLChA==
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Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 48.1 KB - 49 Variables, 84 Observations - UNF:6:yclyOhJDZYHMJQJvzZTLQw==
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Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 2.4 MB - 3 Variables, 61757 Observations - UNF:6:jeuVpnBFddxfX3HVxLI8Sg==
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Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 6.4 MB - 8 Variables, 61619 Observations - UNF:6:kMlYcizVJUh7HOjszLZ01Q==
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Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 1.9 MB - 8 Variables, 14965 Observations - UNF:6:ILfN2SOXOe2q2VJEDWtx5A==
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Dec 16, 2019 -
Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Tabular Data - 1.7 MB - 8 Variables, 14965 Observations - UNF:6:57qb8eSUTEdQ31OC8ApSLg==
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Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and... |
Dec 10, 2019 -
GER_SET: Situation Entity Type labelled corpus for German
ZIP Archive - 414.5 KB -
MD5: e1733e5ce7ef02577239d5a9ada0d8ba
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