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Plain Text - 39.2 MB -
MD5: 570d00340c2a80e7262c3857a40dbe94
resistivity model obtained using 300 Ohm.m starting model. Format: x,y,z,rho |
Plain Text - 39.2 MB -
MD5: 7ab7eea749eb83dc813c334b462c1121
resistivity model obtained using 30 Ohm.m starting model. Format: x,y,z,rho |
Plain Text - 624 B -
MD5: f0fc0900a5108602f6f923d2b2a64861
geographic (decimal degrees) and UTM Zone 33N coordinates (meters) |
Plain Text - 747 B -
MD5: 1844696dbb5748ad5d1d3fbb2e38ffe7
Data statistcis for each station and acquisition times |
Plain Text - 100.9 KB -
MD5: 9e19bb5a292e9947f2d49709dddc99a1
geographic coordinates of the model grid |
Plain Text - 815 B -
MD5: bcfc63cba6aed15a6a210cb7956d6a1f
matlab script to read model files |
Jul 22, 2026 - TROLLing
Nacey, Susan; Krennmayr, Tina, 2026, "Replication data for: Evaluating Dictionaries for Metaphor Identification", https://doi.org/10.18710/RIQXRD, DataverseNO, V1
Dataset description: The replication data and R code provide documentation for the article "Evaluating dictionaries for metaphor identification". A total of 2068 tokens were analyzed for metaphor status four times (using four different learner's dictionaries) by two analysts. The dataset contains 4 files in addition to the ReadMe file: 01_MIPVU_cod... |
Plain Text - 12.1 KB -
MD5: efa866e21ab88f46dc40b77da1e0a5fa
The ReadMe file |
Plain Text - 630.9 KB -
MD5: 2fc007d3e441357673739880c17010e7
This file contains the metaphor identification decisions made by two raters (S and T) for each lexical unit in the analyzed text: 2068 tokens in all from texts in 4 different text registers (academic discourse (= aca), conversation (= conv), fiction (= fic), and news (= news)--roughly 500 tokens per text type). The analysis of the 2068 coders was... |
R Syntax - 7.2 KB -
MD5: ae5066c8fbd747ccb823ec82683c5922
Contains the R code for the analysis of interrater reliability (two raters) and visualization of the results.
This R code requires the data in the file 01_MIPVU_coders_data.txt
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