January 9, 2019 Lesson Open Access

Paula Andrea Martinez; Wilson Lozano; Rayna Harris; chekos; Laura Angelone; Nicolás Palopoli; Juan M. Barrios; Miguel González; Fernando Garcia; Juan Martín Barrios; LUS24; rzayas; Alejandra Gonzalez-Beltran; Enric Escorsa O'Callaghan; monialo2000; Hely Salgado; Leonardo Ulises Spairani; Nohemi Huanca Nunez; Silvana Pereyra; Spencer Harris; April Wright; Maxim Belkin; Christopher Erdmann; Erin Becker; Raniere Silva; Katrin Leinweber; Sarah Brown; Stephan Druskat; Trevor Keller

Dublin Core Export

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  <dc:contributor>Paula Andrea Martinez</dc:contributor>
  <dc:contributor>Heladia Salgado</dc:contributor>
  <dc:contributor>Rayna Harris</dc:contributor>
  <dc:creator>Paula Andrea Martinez</dc:creator>
  <dc:creator>Wilson Lozano</dc:creator>
  <dc:creator>Rayna Harris</dc:creator>
  <dc:creator>chekos</dc:creator>
  <dc:creator>Laura Angelone</dc:creator>
  <dc:creator>Nicolás Palopoli</dc:creator>
  <dc:creator>Juan M. Barrios</dc:creator>
  <dc:creator>Miguel González</dc:creator>
  <dc:creator>Fernando Garcia</dc:creator>
  <dc:creator>Juan Martín Barrios</dc:creator>
  <dc:creator>LUS24</dc:creator>
  <dc:creator>rzayas</dc:creator>
  <dc:creator>Alejandra Gonzalez-Beltran</dc:creator>
  <dc:creator>Enric Escorsa O'Callaghan</dc:creator>
  <dc:creator>monialo2000</dc:creator>
  <dc:creator>Hely Salgado</dc:creator>
  <dc:creator>Leonardo Ulises Spairani</dc:creator>
  <dc:creator>Nohemi Huanca Nunez</dc:creator>
  <dc:creator>Silvana Pereyra</dc:creator>
  <dc:creator>Spencer Harris</dc:creator>
  <dc:creator>April Wright</dc:creator>
  <dc:creator>Maxim Belkin</dc:creator>
  <dc:creator>Christopher Erdmann</dc:creator>
  <dc:creator>Erin Becker</dc:creator>
  <dc:creator>Raniere Silva</dc:creator>
  <dc:creator>Katrin Leinweber</dc:creator>
  <dc:creator>Sarah Brown</dc:creator>
  <dc:creator>Stephan Druskat</dc:creator>
  <dc:creator>Trevor Keller</dc:creator>
  <dc:date>2019-01-09</dc:date>
  <dc:description>Este repositorio contiene material para enseñar la lección de Data Carpentry con Python usando datos de ecología. Hemos terminado con la traducción de esta lección en Diciembre 4, 2018. Luego la lección traducida ha sido movida a el repositorio oficial de Data Carpentry y cualquier colaboración es bienvenida aqui: https://datacarpentry.org/python-ecology-lesson-es/. Los colaboradores se encuentran al final de este archivo [colaboradores](https://github.com/datacarpentry/python-ecology-lesson-es/blob/gh-pages/_extras/CONTRIBUTORS.md)</dc:description>
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  <dc:identifier>oai:zenodo.org:2536379</dc:identifier>
  <dc:language>spa</dc:language>
  <dc:relation>url:https://github.com/datacarpentry/python-ecology-lesson-es/tree/v2019.01.0</dc:relation>
  <dc:relation>doi:10.5281/zenodo.2536378</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/carpentries</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/datacarpentry</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>datacarpentry/python-ecology-lesson-es: Data Carpentry: Lección de Data Carpentry - Python usando datos de ecología - Enero 2019</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>lesson</dc:type>
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