BUSCADOR RECOLECTA

This dataset in an Excel file compares the wave of globalization before the outbreak of the Great Recession in 2007 with its alleged historical antecedent before the outbreak of World War One. We describe trends in trade and openness, estimate the gains from trade and investigate the proximate causes of the growth of openness. We argue that the conventional wisdom has to be revised. The first wave of globalization started around 1820 and culminated around 1870. In the next century, trade continued to grow, with the exception of the Great Depression, but openness and gains fluctuated widely. Growth resumed in the early 1970s. By 2007, the world was more open than a century earlier and its inhabitants gained from trade substantially more than their ancestors did. The current wave of globalization, in spite of some similarities with previous trends, has no historical antecedents. This dataset is related to the working paper "A tale of two globalizations : gains for trade and openness 1800-2010" by by Giovanni Federico and Antonio Tena Junguito, available on: http://hdl.handle.net/10016/22354

This dataset is supporting information to the paper pubished in the Working papers in Economic History series, n. 16-01., This dataset in an Excel file presents our data-base on world trade from 1800 to 1938. We have collected or estimated series of imports and exports, at current and constant (1913) prices and at current and at constant (1913) borders, for 149 polities. After a short review of the available series, we describe the methods for the construction of the data-base. We then deal with the criteria for the inclusion of polities, the representativeness of our series, the main types of sources, the procedures of deflation and, when necessary, of adjustments to 1913 borders. We discuss the details of the estimation of our polity series in Appendix B. Following Feinstein and Thomas (2001), we assess the reliability of our polity estimates. In the last two sections we present our trade series at current and 1913 borders and compare them with other available series. This dataset is related to the working paper "World trade, 1800-1938 : a new data-set" by Giovanni Federico and Antonio Tena Junguito, available on: http://hdl.handle.net/10016/22222.

This dataset provides you with the source codes and results underlying the manuscript: Espinoso A and Andrzejak RG. 2022. Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients. Phys. Rev. E. 105, 034212. In order to understand the source code, you should first read the manuscript. All the detailed information explaining how to use the source code and how the results are organized can be found in the readme file. The code is done using MATLAB and it uses the same notation for mathematical symbols as in the manuscript. Additional comments can be found throughout the source code. The code files starting by "EA" are done for obtaining the results of the manuscript Espinoso 2022. The code files starting by "ASR" were used for obtaining surrogates and filter the signals. If you use these last mentioned codes, please cite the following paper: Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206, 2012 To get started with the code for obtaining the EEG results open EA_EEG_Main.m, and for the Rössler results open EA_Rossler_Main.m. We have tested the code, and to the best of our knowledge it has no bugs. In case you have any questions or problems, please contact us. The same results obtained in the paper for the EEG and Rössler are available in MATLAB format. Please, read the important remark in the readme file. If you run the analysis using the codes provided here, you will not get identical results as in the paper. This is the reason why we provide the identical results here.

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

This page provides the source code and results underlying the manuscript: Malvestio I, Kreuz T, Andrzejak RG. 2017. Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains. Physical Review E 96, 022203. 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

This page provides the source code underlying the manuscript: Andrzejak RG, Ruzzene G, Malvestio I. 2017. Generalized synchronization between chimera states. Chaos. 27(5): 053114 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

This page data analyzed in the manuscript: Andrzejak RG, Lehnertz K, Rieke C, Mormann F, David P, Elger CE (2001) Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state, Phys. Rev. E, 64, 061907. 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

This page provides the source code underlying the manuscript: Chicharro D, Andrzejak RG (2009): Reliable detection of directional couplings using rank statistics. Physical Review E, 80, 026217. 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

This page provides the source code underlying the manuscript: Andrzejak RG, Ledberg A, Deco G (2006): Detecting event-related time-dependent directional couplings. New Journal of Physics 8, 6 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

This page provides the source code and results underlying the manuscript: Andrzejak RG, Kreuz T (2011): Characterizing unidirectional couplings between point processes and flows. EPL, 96, 50012 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