3,181 to 3,190 of 19,954 Results
Jan 30, 2026 - Effort Project
Radl, Jonas, 2027, "Effort Project. Child experimental data and associated survey data (multiple-imputed data, m = 10)", https://doi.org/10.21950/HJZKQG, e-cienciaDatos, V2
Child experimental data and associated survey data (multiple-imputed data, m = 10): An R list of ten dataframes that contain imputed values for the principal explanatory variables of the analysis conducted for Radl et al. (2025). Missing data exist for some students because surveys were occasionally returned incomplete or illegible. Multiple imputa... |
Jan 30, 2026 -
Effort Project. Child experimental data and associated survey data (multiple-imputed data, m = 10)
Texto plano - 6,7 KB -
MD5: f45aa3b2da1893f0b57a1ea8b9c195ab
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Jan 30, 2026 - Effort Project
Radl, Jonas, 2027, "Effort Project. Parent experimental data and associated survey data", https://doi.org/10.21950/68CTB1, e-cienciaDatos, V2
Parent experimental data and associated survey data: The dataset contains socioeconomic data and experimental measures of cognitive effort stemming from parents of a subset of the fifth-grade students who participated in the laboratory experiments. Effort-related non-cognitive (personality) variables that were collected for children were also colle... |
Texto plano - 8,6 KB -
MD5: a64f04b5313f6bfb5298d419d7f2d967
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Jan 30, 2026 - GRESEL-UAM: Narrativas Financieras y Literatura
Moreno-Sandoval, Antonio; Torterolo Orta, Yanco Amor; Stanescu, Maria Alexia; Chatzi, Melina, 2026, "The Financial Document Causality Detection Shared Task (FinCausal 2026): Dataset", https://doi.org/10.21950/H7RKHH, e-cienciaDatos, V1
The Financial Document Causality Detection Shared Task (FinCausal 2026) aims to improve causality identification in the financial domain through its texts. This shared task focuses on determining the causality associated with both events and quantified facts. For this task, a cause can be the justification of a statement or the reason explaining an... |
Texto plano - 8,8 KB -
MD5: c8cf1eab139666f931be820d1c4b4c15
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Texto plano - 9,6 KB -
MD5: a66014ba35cb560865b5e8dc5c12fdac
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Valores separados por comas - 235,2 KB -
MD5: a52f582e378619446debc9185152cad4
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Valores separados por comas - 301,0 KB -
MD5: 3539ca5e42640897cee60f6371249b92
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Valores separados por comas - 951,1 KB -
MD5: 23fd3fbdcf7a2c4642b4556a3ddd483c
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