Resultados de investigación

Infants' raw eye-tracker data used in the study presented at the paper entitled "Influence of agents' social status on 18-to-21-month-old infants' learning".

This page provides the source code underlying the manuscript: Leguia MG, Martínez CGB, Malvestio I, Campo A T, Rocamora R, Levnajic Z, Andrzejak RG. 2019. Inferring directed networks using a rank-based connectivity measure. Phys. Rev. E. 99, 012319 If you use any of these resources, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads

MATLAB source codes (.m) and MATLAB workspace (.mat)

Source code in MATLAB format (.m)

JSON and HTML files. The dataset includes the 5 KBs generated plus the evaluation subsets used in the manual evaluation (top 100 and random 100). The best version of the dataset (the one with higher precision) is KBSF-th. Informació addicional: http://mtg.upf.edu/node/3526

"Audio files of the recordings are provided in the partitioned archives as WAV format. ""talk_proscripts"" archive contains Proscript format annotations of complete talks. ""punkProse_dataset"" archive contains sampled dataset partitioning used in prosodic punctuation modelling experiments (See http://github.com/alpoktem/punkProse). README.txt file contains information on the dataset and authors. Indexing of the files and their corresponding talks are listed in TED_talk_ids.txt. Proscript format files contain the sequence of uttered words in a recording, their approximate timings and corresponding acoustic measurements (pitch, intensity, speech rate). For more information on Proscript format see http://github.com/alpoktem/proscript."

Zip files containing MATLAB files (.m) and TXT files (.txt).

This page provides the data of the manuscript: Martínez, C. G. B., Niediek, J., Mormann, F. & Andrzejak,R. G. Seizure onset zone lateralization using a nonlinear analysis of micro versus macro electroencephalographic recordings during seizure-free stages of the sleep-wake cycle from epilepsy patients. Frontiers in Neurology 11, 1057, 2020. If you use any of this data, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads

This data set includes all the Supplementary information corresponding to the paper entitled “ADMET free online prediction tools for academic or small biotech environments”. More particularly the characteristics of the free software and web servers for the prediction of physicochemical and pharmacokinetic properties of drug candidates, the properties that are predicted, the experimental data for a set of 24 FDA-approved tyrosine kinase inhibitors (TKIs), the properties predicted for such TKIs using the free web servers, and the comparison of the predicted and experimental data together with the statistical analysis of such comparisons.

NMR (Nuclear Magnetic Resonance) spectroscopy data for compounds reported in the associated manuscript. Includes mono-dimensional (1D) and bi-dimensional (2D) experiments: 1D 1H, 1D 13C, 1D 13C DEPTQ (Distorsionless Enhancement by Polarization Transfer, inc. Quaternary nuclei), 2D 1H-13C HSQC (Heteronuclear Single Quantum Correlation), 2D 1H-15N HSQC, 2D 1H-1H COSY (COrrelation SpectroscopY), 2D 1H-1H NOESY (Nuclear Overhasuer effect SpectroscopY), 2D 1H-1H ROESY (Rotating frame Overhause Effect SpectroscopY). a) For new compounds: 1D 1H, 1D 13C, 1D 13C DEPTQ, 2D 1H-13C HSQC, 2D 1H-15N HSQC, 2D 1H-1H COSY, 2D 1H-1H NOESY, 2D 1H-1H ROESY. b) For reported compounds without previously reported or limited spectroscopic data: 1D 1H NMR, 1D 13C NMR, 2D 1H-13C HSQC. For each compound, a *.mnova file containing the processed data is inluded alongside the raw acquisition data. The file Compound_chart.pdf includes a detailed relation of available data for each compound, including the compound's structure and labelling according to the reference manuscript.