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Tabular Data - 323.8 KB - 3 Variables, 4627 Observations - UNF:6:8/qU870K5mNVIZK83d6exg==
Appendix A for the article "Tracing the evolving actor network: A social network analysis of the 2018 Mayotte crisis in the press" accepted in NHESS. Correspondance table between named entities (actor’s denominations manually picked up in press articles) and general names (a ch...
Tabular Data - 110.5 KB - 4 Variables, 965 Observations - UNF:6:XpECjrcDHPyhWEQqN6V4Pg==
Appendix B for the article "Tracing the evolving actor network: A social network analysis of the 2018 Mayotte crisis in the press" accepted in NHESS. Correspondance table between general names (a chosen term grouping all the different ways of naming a same actor) and categories...
MS Excel Spreadsheet - 129.7 KB - MD5: 2fc55aeaa232ed94cb486e01b34fb2d2
Database of 343 articles published between the 10th of May 2018 and the 10th of May 2021 in 6 daily newspapers (Journal de Mayotte, Mayotte la 1ère, Journal de l'île de La Réunion, L'Express de Madagascar, Le Figaro and Le Monde) covering the seismo-volcanic crisis in Mayotte arc...
R Syntax - 15.3 KB - MD5: 0d66b2318908142b71c7a4cf7f5f6624
Model code developped by Marion Le Texier in order to map citation networks of sources identified in the press coverage. It uses one dataset and two correspondant tables and displayes quantifications and dynamic maps of the citation network.
Adobe PDF - 13.9 KB - MD5: 4564dba2267c6d61bd282b573c069c24
Supplementary Information for the article "Tracing the evolving actor network: A social network analysis of the 2018 Mayotte crisis in the press" accepted in NHESS
Unknown - 14.0 MB - MD5: 49c744cd3bd83f059176e56f6675eed7
QuakeML format (description of the format can be found here: https://quake.ethz.ch/quakeml/QuakeML)
Tabular Data - 1.3 MB - 23 Variables, 11816 Observations - UNF:6:Ciq0yShN4FFWUKNJV1d93Q==
CSV file. Columns are described in the first line.
Tabular Data - 7.4 KB - 14 Variables, 35 Observations - UNF:6:FcYK4Qk1JUPuawcUhBl5iA==
Noble gas elemental abundances and isotopic composition.
MATLAB Data - 103.5 MB - MD5: 6ee3e120b878f6b3b28b0e40b0ed88ad
Data for case 11
MATLAB Data - 69.2 MB - MD5: 5f6b83d3cb66d5096797fc7d908b9d29
Data for case Neutral top
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