Zenodo.org will be unavailable for 2 hours on September 29th from 06:00-08:00 UTC. See announcement.
There is a newer version of this record available.

Lesson Open Access

datacarpentry/python-ecology-lesson-es: Data Carpentry: Lección de Data Carpentry - Python usando datos de ecología - Enero 2019

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


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.2536379</identifier>
  <creators>
    <creator>
      <creatorName>Paula Andrea Martinez</creatorName>
    </creator>
    <creator>
      <creatorName>Wilson Lozano</creatorName>
    </creator>
    <creator>
      <creatorName>Rayna Harris</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7943-5650</nameIdentifier>
    </creator>
    <creator>
      <creatorName>chekos</creatorName>
    </creator>
    <creator>
      <creatorName>Laura Angelone</creatorName>
    </creator>
    <creator>
      <creatorName>Nicolás Palopoli</creatorName>
    </creator>
    <creator>
      <creatorName>Juan M. Barrios</creatorName>
    </creator>
    <creator>
      <creatorName>Miguel González</creatorName>
    </creator>
    <creator>
      <creatorName>Fernando Garcia</creatorName>
    </creator>
    <creator>
      <creatorName>Juan Martín Barrios</creatorName>
    </creator>
    <creator>
      <creatorName>LUS24</creatorName>
    </creator>
    <creator>
      <creatorName>rzayas</creatorName>
    </creator>
    <creator>
      <creatorName>Alejandra Gonzalez-Beltran</creatorName>
    </creator>
    <creator>
      <creatorName>Enric Escorsa O'Callaghan</creatorName>
    </creator>
    <creator>
      <creatorName>monialo2000</creatorName>
    </creator>
    <creator>
      <creatorName>Hely Salgado</creatorName>
    </creator>
    <creator>
      <creatorName>Leonardo Ulises Spairani</creatorName>
    </creator>
    <creator>
      <creatorName>Nohemi Huanca Nunez</creatorName>
    </creator>
    <creator>
      <creatorName>Silvana Pereyra</creatorName>
    </creator>
    <creator>
      <creatorName>Spencer Harris</creatorName>
    </creator>
    <creator>
      <creatorName>April Wright</creatorName>
    </creator>
    <creator>
      <creatorName>Maxim Belkin</creatorName>
    </creator>
    <creator>
      <creatorName>Christopher Erdmann</creatorName>
    </creator>
    <creator>
      <creatorName>Erin Becker</creatorName>
    </creator>
    <creator>
      <creatorName>Raniere Silva</creatorName>
    </creator>
    <creator>
      <creatorName>Katrin Leinweber</creatorName>
    </creator>
    <creator>
      <creatorName>Sarah Brown</creatorName>
    </creator>
    <creator>
      <creatorName>Stephan Druskat</creatorName>
    </creator>
    <creator>
      <creatorName>Trevor Keller</creatorName>
    </creator>
  </creators>
  <titles>
    <title>datacarpentry/python-ecology-lesson-es: Data Carpentry: Lección de Data Carpentry - Python usando datos de ecología - Enero 2019</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <contributors>
    <contributor contributorType="Editor">
      <contributorName>Paula Andrea Martinez</contributorName>
    </contributor>
    <contributor contributorType="Editor">
      <contributorName>Heladia Salgado</contributorName>
    </contributor>
    <contributor contributorType="Editor">
      <contributorName>Rayna Harris</contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2019-01-09</date>
  </dates>
  <language>es</language>
  <resourceType resourceTypeGeneral="InteractiveResource"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2536379</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/datacarpentry/python-ecology-lesson-es/tree/v2019.01.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2536378</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/carpentries</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/datacarpentry</relatedIdentifier>
  </relatedIdentifiers>
  <version>v2019.01.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Este repositorio contiene material para ense&amp;ntilde;ar la lecci&amp;oacute;n de Data Carpentry con Python usando datos de ecolog&amp;iacute;a. Hemos terminado con la traducci&amp;oacute;n de esta lecci&amp;oacute;n en Diciembre 4, 2018. Luego la lecci&amp;oacute;n traducida ha sido movida a el repositorio oficial de Data Carpentry y cualquier colaboraci&amp;oacute;n 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)&lt;/p&gt;</description>
  </descriptions>
</resource>
291
24
views
downloads
All versions This version
Views 291274
Downloads 2423
Data volume 271.8 MB260.4 MB
Unique views 236222
Unique downloads 2120

Share

Cite as