Encuesta satisfacción e-cienciaDatos
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1.561 a 1.570 de 18.341 Resultados
2 feb 2026 - Effort Project
Radl, Jonas, 2022, "Effort Project. Child experimental data and associated survey data", https://doi.org/10.21950/DEDRIZ, e-cienciaDatos, V7
Child experimental data and associated survey data: The dataset contains socioeconomic data and experimental measures of cognitive effort stemming from fifth-grade students and their parents. Among the socioeconomic variables that can be found in the dataset are the gender, age,... |
Texto plano - 8,5 KB -
MD5: a42581533c1fd3d4a357d39f7384cc89
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Archivo ZIP - 32,1 KB -
MD5: 1f0c821600e253c985dc7101a8cb1c75
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30 ene 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 surve... |
30 ene 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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30 ene 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 (p... |
Texto plano - 8,6 KB -
MD5: a64f04b5313f6bfb5298d419d7f2d967
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30 ene 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 cau... |
Texto plano - 8,8 KB -
MD5: c8cf1eab139666f931be820d1c4b4c15
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Texto plano - 9,6 KB -
MD5: a66014ba35cb560865b5e8dc5c12fdac
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