Resultados totales (Incluyendo duplicados): 563
Encontrada(s) 57 página(s)
Encontrada(s) 57 página(s)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22355
Dataset. 2016
A TALE OF TWO GLOBALIZATIONS : GAINS FOR TRADE AND OPENNESS 1800-2010 [DATA SET]
- Federico, Giovanni
- Tena Junguito, Antonio
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
Proyecto: //
DOI: https://hdl.handle.net/10016/22355
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22355
HANDLE: https://hdl.handle.net/10016/22355
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22355
PMID: https://hdl.handle.net/10016/22355
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22355
Ver en: https://hdl.handle.net/10016/22355
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22355
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22230
Dataset. 2016
WORLD TRADE, 1800-1938 : A NEW DATA-SET [DATA SET]
- Federico, Giovanni
- Tena Junguito, Antonio
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.
Proyecto: //
DOI: https://hdl.handle.net/10016/22230
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22230
HANDLE: https://hdl.handle.net/10016/22230
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22230
PMID: https://hdl.handle.net/10016/22230
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22230
Ver en: https://hdl.handle.net/10016/22230
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/22230
CORA.Repositori de Dades de Recerca
doi:10.34810/data405
Dataset. 2016
CANCER BIOMARKERS DATABASE
- Tamborero Noguera, David
- Rubio Pérez, Carlota
- Déu Pons, Jordi
- Schroeder, Michael Philipp, 1986-
- Vivancos Prellezo, Ana
- Rovira Guerín, Ana
- Tusquets, Ignasi
- Albanell Mestres, Joan
- Rodon, Jordi
- Tabernero Cartula, Josep
- Dienstmann, Rodrigo
- González-Pérez, Abel
- López Bigas, Núria
The cancer bioMarkers database is curated and maintained by several clinical and scientific experts in the field of precision oncology supported by the European Union’s Horizon 2020 funding. This database is currently being integrated with knowledge databases of other institutions in a collaborative effort of the Global Alliance for Genomics and Health.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data406
Dataset. 2023
ONCOPAD
- Tamborero Noguera, David
- López Bigas, Núria
- González-Pérez, Abel
- Rubio Pérez, Carlota
- Déu Pons, Jordi
A tool aimed at the rational design of cancer gene panels. It estimates the cost-effectiveness of the designed panel on a cohort of tumors and provides reports on the importance of individual mutations for tumorigenesis or therapy.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data407
Dataset. 2023
INTOGEN - PIPELINE
- González-Pérez, Abel
- Pérez Llamas, Christian, 1976-
- Tamborero Noguera, David
- Schroeder, Michael Philipp, 1986-
- Jené i Sanz, Alba, 1984-
- Santos, Alberto
- López Bigas, Núria
- Déu Pons, Jordi
Analyses somatic mutations in thousands of tumor genomes to identify cancer driver genes.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data408
Dataset. 2016
GITOOLS
- Pérez Llamas, Christian, 1976-
- López Bigas, Núria
- Schroeder, Michael Philipp, 1986-
- Déu Pons, Jordi
Gitools is a framework for analysis and visualization of multidimensional genomic data using interactive heat-maps.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data409
Dataset. 2023
ONCODRIVEFML
- Mularoni, Loris
- Sabarinathan, Radhakrishnan
- González-Pérez, Abel
- López Bigas, Núria
- Déu Pons, Jordi
Method to identify genomic regions, both coding and non-coding, bearing mutations with significant shift towards high functional impact across a cohort of tumos (FMbias), which are candidates to function as cancer drivers, through a local test.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data414
Dataset. 2014
ONEXUS
- Déu Pons, Jordi
Onexus is a modular framework to manage the complete life cycle of data analyses. Data analyses follow these steps: analysis definition, analysis execution, results storing, results browsing and finally results publishing.
Proyecto: //
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