Repositorio de Datos de Investigación de la Universidad de Chile
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Replication Data for: Ordering Sequential Competitions to Reduce Order Relevance: Soccer Penalty Shootouts
No full textThis 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 advantage for the first shooting team. This has led to some debate on whether a change in the rules of the game is needed. This work contributes to the debate by collecting an extensive dataset of shootouts which corroborates an advantage for the first shooter, albeit with a smaller effect than what has been documented in previous research. To evaluate the impact of alternative ordering of shots, we model shootouts as a probability network, calibrate it using the data from the traditional ordering, and use the model to conduct counterfactual analysis. Our results show that alternating the team that shoots first in each round would reduce the impact of ordering. These results were in part developed as an alternative to field studies to support IFAB's consideration of changing the shooting order
Replication Data for: Impact of an affirmative action on female CS/SE undergraduate enrollment
No full textYearly enrollment data for the CS/SE program at the FCF
Replicar los datos para: Optical INT and WHT spectra of SN 2014J
No full textWe present the intensive spectroscopic follow up of the Type Ia supernova (SN Ia) 2014J in the starburst galaxy M82. Twenty-seven optical spectra have been acquired from 2014 January 22 to September 1 with the Isaac Newton and William Herschel Telescopes. After correcting the observations for the recession velocity of M82 and for MilkyWay and host galaxy extinction, we measured expansion velocities from spectral line blueshifts and pseudo-equivalent width of the strongest features in the spectra, which gives an idea on how elements are distributedwithin the ejecta.We position SN 2014J in the Benetti, Branch et al. andWang et al. diagrams. These diagrams are based on properties of the Si II features and provide dynamical and chemical information about the SN ejecta. The nearby SN 2011fe, which showed little evidence for reddening in its host galaxy, is shown as a reference for comparisons. SN 2014J is a border-line object between the Core-normal and Broad-line groups, which corresponds to an intermediate position between low-velocity gradient and high-velocity gradient objects. SN 2014J follows the R(Si II)– m15 correlation, which confirms its classification as a relatively normal SN Ia. Our description of the SN Ia in terms of the evolution of the pseudo-equivalent width of various ions as well as the position in the various diagrams put this specific SN Ia into the overall sample of SN Ia
data de Amestietal
No full textEvaporation from unsaturated soils as a function of the atmospheric flow and water vapor transport in the soil
Replicar los datos para: Supplementary material 1 from: Troncoso-Palacios J, Diaz HA, Puas GI, Riveros-Riffo E, Elorza AA (2016) Two new Liolaemus lizards from the Andean highlands of Southern Chile (Squamata, Iguania, Liolaemidae). ZooKeys 632: 121-146
No full textAppendices : Explanation not
Supplementary Figure 1: (A-B) Stillbirths and (C-D) neonates of Philodryas chamissonis in individual containers
No full textSupplementary Figure
Replicar los datos para: The high cadence transient survey (Hits): Source, light-curve and classification catalogs
No full textThe High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic timescales between hours and days, such as pulsating, eclipsing and exploding stars. This survey represents a unique laboratory to explore large etendue observations from cadences of about 0.1 days and to test new computational tools for the analysis of large data. This work follows a fully Data Science approach: from the raw data to the analysis and classification of variable sources. We compile a catalog of ~15 million object detections and a catalog of ~2.5 million light-curves classified by variability. The typical depth of the survey is 24.2, 24.3, 24.1 and 23.8 in u, g, r, and i bands, respectively. We classified all point-like non-moving sources by first extracting features from their light--curves and then applying a Random Forest classifier. For the classification, we used a training set constructed using a combination of cross-matched catalogs, visual inspection, transfer/active learning, and data augmentation. The classification model consists of several Random Forest classifiers organized in a hierarchical scheme. The classifier accuracy estimated on a test set is approximately 97%. In the unlabeled data, 3,485 sources were classified as variables, of which 1,321 were classified as periodic. Among the periodic classes we discovered with high confidence, 1 δ scuti, 39 eclipsing binaries, 48 rotational variables, and 90 RR-Lyrae. For the non-periodic classes we discovered 1 cataclysmic variables, 630 QSO, and 1 supernova candidate
Replicar los datos para: RapidMiner code for a pediatric case of readmission risk modeling
No full textRapid Miner code for the data analysis for the paper "Machine learning readmission risk modeling: a pediatric case study" Patricio Wolff, Manuel Graña, Sebastián A. Ríos, Maria Begoña Yarza, submitted for publication and under revision
Replicar los datos para: Snow accumulation patterns in a high mountain Andean catchment from optical tri-stereoscopic remote sensing
No full text1) 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=d508beb3a88f43d28c17a8ec9fac5ef0), used to force a distributed blowing snow model of Essery et al. (1999) to derive spatial snow depth of the Rio del Yeso catchment, Chile. The format is as follows: {'Year','Month','Day','Hour','Incoming shortwave radiation (Wm2)','Incoming longwave radiation (Wm2)','SnowfallRate(mm/hr)','RainfallRate(mm/hr)','Air temperature (celsius)','Relative humidity (%)','Wind speed (m s-1)','Compass wind direction','Air pressure (hPa)'}; 2) 'snowHeightPleiadesREG' = A snow depth map (horizontal resolution 4m) derived from triplets of high resoution stereo optical satellite images (Pléiades) following the methodology of Marti et al. (2016). The snow depth map is derived for a high mountain catchment (Rio del Yeso) of the central Chilean Andes (see Burger et al., 2018). 3) 'L2_LiDAR_4m' = A LiDAR (Light detection and Ranging) spatial snow depth map at a horizontal resolution of 4 m. The data were captured by a Reigl VZ-6000 LiDAR scanner and generated from the difference of two constructed digital elevation models (DEMs) between the dates 13th September, 2017 (with snow) and 12th December, 2017 (without snow). 4) 'L2_Pleiades_SDLidar_NEW' = The Pléiades snow depth map as described in 2), extracted by the areas of LiDAR scan described in 3). 5) 'SnowDepthResults' = A folder containing a corrected and gap-filled Pléiades snow depth map ('SD_PleiadesCORR') and for comparison: 'SD_TOPO', a statistical estimation of snow depth using topographic parameters and the regression equation of Grünewald et al. (2013) and; The physically based estimates of snow depth using the DBSM model as in 1) without snow transport for the 4th September, 2017 ('SD_EXTP_Sep04') and 13th September, 2017 ('SD_EXTP_Sep13') and with snow transport for those dates ('SD_Wind_Sep04','SD_Wind_Sep13'). 6) 'rdyDEM' = An independent ASTER GDEM (https://asterweb.jpl.nasa.gov/gdem.asp) cut to the area of the study catchment (horizontal resolution = 30 m). 7) 'PlanetScope_20170907_TPK' = An stitched optical PlanetScope image of the catchment (horizontal resolution of 3.25 m) derived from access under the research and teaching iniative (planet.com). Cited work: Burger, F. et al. (2018) ‘Interannual variability in glacier contribution to runoff from a high ‐ elevation Andean catchment : understanding the role of debris cover in glacier hydrology’, Hydrological Processes, pp. 1–16. doi: 10.1002/hyp.13354. Essery, R., Li, L. and Pomeroy, J. (1999) ‘A distributed model of blowing snow over complex terrain’, Hydrological Processes, 13(14–15), pp. 2423–2438. doi: 10.1002/(SICI)1099-1085(199910)13:14/153.0.CO;2-U. Grünewald, T. et al. (2013) ‘Statistical modelling of the snow depth distribution in open alpine terrain’, Hydrology and Earth System Sciences, 17(8), pp. 3005–3021. doi: 10.5194/hess-17-3005-2013. Marti, R. et al. (2016) ‘Mapping snow depth in open alpine terrain from stereo satellite imagery’, The Cryosphere, pp. 1361–1380. doi: 10.5194/tc-10-1361-2016.2019-01
Replicar los datos para: Ion and electron kappa-distribution functions along the plasma sheet - Time intervals data
No full textWe use kappa distributions to model thousands of ion and electron flux spectra along the plasma sheet and analyze the variation of the spectral index κ and the temperature T in this region. We find that κ distributions are ubiquitous and fit well ion and electron flux spectra during quiet times, and during the expansion and recovery phases of substorms. Near Earth, and up to ∼12 RE, the κ indices are different than the rest of the plasma sheet, both for ions (κi) and electrons (κe). There is a significant dawn‐dusk asymmetry in κi toward the tail, which is enhanced during substorms. The ions also exhibit a permanent temperature asymmetry, determined by a colder dawnside. The whole tail becomes hotter during substorms, but it appears that most of the energy is deposited near Earth