751 a 760 de 903 Resultados
21 abr. 2023
Pastén, Francisco, 2022, "Copiapó_Experiment_Catalogue", https://doi.org/10.34691/FK2/91GHJE, Repositorio de datos de investigación de la Universidad de Chile, V2, UNF:6:EqHO6fRB2jndKVp7ubQlqQ== [fileUNF]
The subduction of different features such as oceanic ridges, fractures zones or seamounts are important for the accurate characterization of subduction zones. These structures may affect the along-dip variability of seismic behavior and eventually trigger slow earthquakes. Here w... |
21 abr. 2023 -
Copiapó_Experiment_Catalogue
Datos tabulares - 13.8 KB - 27 Variables, 62 Observaciones - UNF:6:EqHO6fRB2jndKVp7ubQlqQ==
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20 abr. 2023
Shaw, Thomas E; Gascoin, Simon; Mendoza, Pablo A.; Pellicciotti, Francesca; McPhee, James, 2019, "Replicar los datos para: Snow accumulation patterns in a high mountain Andean catchment from optical tri-stereoscopic remote sensing", https://doi.org/10.34691/FK2/GSDTT8, Repositorio de datos de investigación de la Universidad de Chile, V1
1) DBSM_Data_RioYeso' = Automatic weather station (AWS) data from Yeso Embalse and Termas del Plomo meteorological stations (available from Chilean Water Directorate, 'Dirección General de Aguas' or 'DGA' http://www.arcgis.com/apps/OnePane/basicviewer/index.html?appid=d508beb3a88... |
20 abr. 2023 -
Replicar los datos para: Snow accumulation patterns in a high mountain Andean catchment from optical tri-stereoscopic remote sensing
Texto plano - 516 B -
MD5: b16283c7c4d033c7a5e9d7985c524359
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20 abr. 2023
Siegel, Cristián, 2022, "Replication Data for: Scaling of waiting time distribution in northern Chile", https://doi.org/10.34691/FK2/GGHMFZ, Repositorio de datos de investigación de la Universidad de Chile, V4, UNF:6:yrKwEx3PvENUeSH6mmbhfA== [fileUNF]
Code and data for "Scaling of waiting time distribution in northern Chile". |
13 abr. 2023
Olivares, Marcelo, 2020, "Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts", https://doi.org/10.34691/FK2/QEZXKG, Repositorio de datos de investigación de la Universidad de Chile, V1, UNF:6:ZTQbO6hQyZk7a90QcMTx4w== [fileUNF]
This dataset can be used to replicate the empirical results presented in the paper. In sequential competitions, the order in which teams take turns may have an impact on performance and the outcome. Previous studies with penalty shootouts have shown mixed evidence of a possible a... |
13 abr. 2023 -
Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts
application/x-python-bytecode - 2.1 KB -
MD5: c304d56577a5dd8155df64868d335119
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13 abr. 2023 -
Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts
Datos tabulares - 196 B - 1 Variables, 10 Observaciones - UNF:6:O58nT4lzPoly5j0rBEA55g==
1 Variables, 10 Observations - UNF:6:O58nT4lzPoly5j0rBEA55g== |
13 abr. 2023 -
Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts
Datos tabulares - 456 B - 8 Variables, 6 Observaciones - UNF:6:jqRr/3WQxk9u1Z2nf1j0Rg==
8 Variables, 6 Observations - UNF:6:jqRr/3WQxk9u1Z2nf1j0Rg== |
13 abr. 2023 -
Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts
application/x-python-bytecode - 3.7 KB -
MD5: 2855eede2931121b447445f11c21062e
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