2875 research outputs found
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Aug7_M33_Data3
No full textData files produced by IonWake code used to produce the graphs in "Dust Charging in Dynamic Ion Wakes
Mar10_Mach_0_5
No full textData files produced by IonWake code used to produce the graphs in "Dust Charging in Dynamic Ion Wakes
Anonymous Daily Features Calculated from GPS Data (Beiwe)
No full textGPS data recorded by participants' smartphones and obtained via the Beiwe mobile app. To conserve participant privacy, this dataset excludes raw GPS traces, but contains two aggregated files for each participant instead. The first file contains a daily GPS feature table, including two daily features computed for each day the participant produced GPS data: (1) loc.var, square root of the variance in GPS coordinates recorded on a day; (2) ent.pls, normalized Shannon entropy of the time spent at different significant places. The other file contains an hourly missing status table, indicating whether the participant's smartphone produced GPS data in each hour during the study period
Differences in Water Surface Elevation Between Roughness Scenarios: Landcover+50% - Landcover+25%
No full text Raster maps of differences in water surface elevation (WSE) that are based on output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016). The differences are between common flow stages at different roughness scenarios where patches associated with downed trees are 50% greater than landcover roughness and 25% greater than landcover roughness (LC10-LC5, N=44). The WSEs that form these difference have a depth above 20cm and are hydrologically connected to the main channel.
Brunner, G.W. (2016). HEC-RAS: River Analysis System, 2D Modeling User’s Manual Version 5.0. Rep., Hydrological Engineering Center – U.S. Army Corp of Engineers, Davis, CA.</p
Estado que manifiesta las cantidades de pesos que en plata y oro se han labrado en la Real Casa de Moneda de México en los dos trienios de 1765 a 1767 y 1768 a 1770, 1771 Noviembre 25
No full textTable provides economic information about Mexican mineral mining in the late-eighteenth century. It discusses gold and silver production and provides information about changes in production levels over time. —— La tabla proporciona información económica sobre la minería mineral mexicana a fines del siglo XVIII. Analiza la producción de oro y plata y proporciona información sobre los cambios en los niveles de producción a lo largo del tiempo. Extent: 4 p
Stimulus Materials
No full textThis dataset contains stimulus image files and stimulus presentation E-Prime scripts. XLS files are also included describing stimulus properties and categorization task details
Water Surface Elevations: Landcover +25% Roughness Scenario
No full text Raster maps of water surface elevations (WSEs) that are output from the HEC-RAS 5.0.7 2D hydrodynamic model (Brunner, 2016), and associated with flow stages (1.0m – 11.63m) at 0.25m interval (N=44). These flow stages were output from simulations coincident with the scenario that contains patches that are derived from locations of downed trees expanded by 2.0 m. At these patches, roughness is 25% higher than the roughness that is only associated with land cover informed by the Ecological Mapping Systems of Texas (Elliott et al. 2014, url: https://tpwd.texas.gov/landwater/land/programs/landscape-ecology/ems/) and calibrated to WSEs found in flood insurance studies (FEMA, 2014), which found an error of 20cm. Only WSE’s that have a depth above 20cm and is connected to the main channel are preserved.
Brunner, G.W. (2016). HEC-RAS: River Analysis System, 2D Modeling User’s Manual Version 5.0. Rep., Hydrological Engineering Center – U.S. Army Corp of Engineers, Davis, CA.
Elliott, L.F., Treuer-Kuehn, A., Blodgett, C.F., True. C.D., German, D. Diamond, D.D. (2014). Ecological System of Texas: 391 Mapped Types, edited by Texas Parks and Wildlife Department and Texas Water Development Board, Austin, TX.
FEMA (2014). Flood Insurance Study: Refugio County, Texas and Incorporated Areas. Rep., 101 pp, Federal Emergency Management Agency, Denton, TX.</p
R scripts for snp selection and ensemble learning for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D
No full textR scripts for snp selection and ensemble learning in STAR*D trial