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


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/687b0e16-5d65-4def-8a7e-e301845a27d4/datacarpentry/python-ecology-lesson-es-v2019.01.0.zip"
      }, 
      "checksum": "md5:5a8b57c83ca133888e113a576d9ff7cc", 
      "bucket": "687b0e16-5d65-4def-8a7e-e301845a27d4", 
      "key": "datacarpentry/python-ecology-lesson-es-v2019.01.0.zip", 
      "type": "zip", 
      "size": 11322458
    }
  ], 
  "owners": [
    19038
  ], 
  "doi": "10.5281/zenodo.2536379", 
  "stats": {
    "version_unique_downloads": 6.0, 
    "unique_views": 85.0, 
    "views": 99.0, 
    "downloads": 9.0, 
    "unique_downloads": 6.0, 
    "version_unique_views": 85.0, 
    "volume": 101902122.0, 
    "version_downloads": 9.0, 
    "version_views": 99.0, 
    "version_volume": 101902122.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.2536379", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.2536378", 
    "bucket": "https://zenodo.org/api/files/687b0e16-5d65-4def-8a7e-e301845a27d4", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.2536378.svg", 
    "html": "https://zenodo.org/record/2536379", 
    "latest_html": "https://zenodo.org/record/2536379", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.2536379.svg", 
    "latest": "https://zenodo.org/api/records/2536379"
  }, 
  "conceptdoi": "10.5281/zenodo.2536378", 
  "created": "2019-01-09T16:20:54.549506+00:00", 
  "updated": "2019-06-26T17:14:47.726977+00:00", 
  "conceptrecid": "2536378", 
  "revision": 5, 
  "id": 2536379, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.2536379", 
    "description": "<p>Este repositorio contiene material para ense&ntilde;ar la lecci&oacute;n de Data Carpentry con Python usando datos de ecolog&iacute;a. Hemos terminado con la traducci&oacute;n de esta lecci&oacute;n en Diciembre 4, 2018. Luego la lecci&oacute;n traducida ha sido movida a el repositorio oficial de Data Carpentry y cualquier colaboraci&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)</p>", 
    "contributors": [
      {
        "type": "Editor", 
        "name": "Paula Andrea Martinez"
      }, 
      {
        "type": "Editor", 
        "name": "Heladia Salgado"
      }, 
      {
        "type": "Editor", 
        "name": "Rayna Harris"
      }
    ], 
    "title": "datacarpentry/python-ecology-lesson-es: Data Carpentry: Lecci\u00f3n de Data Carpentry - Python usando datos de ecolog\u00eda - Enero 2019", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "2536378"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "2536379"
          }
        }
      ]
    }, 
    "language": "spa", 
    "version": "v2019.01.0", 
    "communities": [
      {
        "id": "carpentries"
      }, 
      {
        "id": "datacarpentry"
      }
    ], 
    "publication_date": "2019-01-09", 
    "creators": [
      {
        "name": "Paula Andrea Martinez"
      }, 
      {
        "name": "Wilson Lozano"
      }, 
      {
        "orcid": "0000-0002-7943-5650", 
        "name": "Rayna Harris"
      }, 
      {
        "name": "chekos"
      }, 
      {
        "name": "Laura Angelone"
      }, 
      {
        "name": "Nicol\u00e1s Palopoli"
      }, 
      {
        "name": "Juan M. Barrios"
      }, 
      {
        "name": "Miguel Gonz\u00e1lez"
      }, 
      {
        "name": "Fernando Garcia"
      }, 
      {
        "name": "Juan Mart\u00edn Barrios"
      }, 
      {
        "name": "LUS24"
      }, 
      {
        "name": "rzayas"
      }, 
      {
        "name": "Alejandra Gonzalez-Beltran"
      }, 
      {
        "name": "Enric Escorsa O'Callaghan"
      }, 
      {
        "name": "monialo2000"
      }, 
      {
        "name": "Hely Salgado"
      }, 
      {
        "name": "Leonardo Ulises Spairani"
      }, 
      {
        "name": "Nohemi Huanca Nunez"
      }, 
      {
        "name": "Silvana Pereyra"
      }, 
      {
        "name": "Spencer Harris"
      }, 
      {
        "name": "April Wright"
      }, 
      {
        "name": "Maxim Belkin"
      }, 
      {
        "name": "Christopher Erdmann"
      }, 
      {
        "name": "Erin Becker"
      }, 
      {
        "name": "Raniere Silva"
      }, 
      {
        "name": "Katrin Leinweber"
      }, 
      {
        "name": "Sarah Brown"
      }, 
      {
        "name": "Stephan Druskat"
      }, 
      {
        "name": "Trevor Keller"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "type": "lesson", 
      "title": "Lesson"
    }, 
    "related_identifiers": [
      {
        "scheme": "url", 
        "identifier": "https://github.com/datacarpentry/python-ecology-lesson-es/tree/v2019.01.0", 
        "relation": "isSupplementTo"
      }, 
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.2536378", 
        "relation": "isVersionOf"
      }
    ]
  }
}
99
9
views
downloads
All versions This version
Views 9999
Downloads 99
Data volume 101.9 MB101.9 MB
Unique views 8585
Unique downloads 66

Share

Cite as