Merge pull request #3734 from programminghistorian/3733-links

anisa-hawes · web-flow · commit eb286e1d2178 · 2026-03-09T20:42:15.000Z
3733 links
diff --git a/en/lessons/beginners-guide-to-twitter-data.md b/en/lessons/beginners-guide-to-twitter-data.md
@@ -40,7 +40,7 @@ While this walkthrough proposes a specific workflow that we think is suitable fo
 
 First, we need to gather some data. George Washington University’s [TweetSets](https://tweetsets.library.gwu.edu/) allows you to create your own data queries from existing Twitter datasets they have compiled. The datasets primarily focus on the biggest (mostly American) geopolitical events of the last few years, but the TweetSets website states they are also open to queries regarding the construction of new datasets.  We chose TweetSets because it makes narrowing and cleaning your dataset very easy, creating stable, archivable datasets through a relatively simple graphical interface. Additionally, this has the benefit of allowing you to search and analyze the data with your own local tools, rather than having your results shaped by Twitter search algorithms that may prioritize users you follow, etc.
 
-You could, however, substitute any tool that gives you a set of dehydrated tweets. Because tweets can be correlated to so much data, it’s more efficient to distribute dehydrated data sets consisting of unique tweet IDs, and then allow users to “hydrate” the data, linking retweet counts, geolocation info, etc., to unique IDs. More importantly, [Twitter's terms for providing downloaded content to third parties](https://developer.twitter.com/en/developer-terms/agreement-and-policy), as well as research ethics, are at play.   Other common places to acquire dehydrated datasets include Stanford’s [SNAP](https://snap.stanford.edu/data/) collections, the [DocNow Project](https://www.docnow.io) and data repositories, or the [Twitter Application Programming Interface (API)](https://developer.twitter.com/), directly. (If you wonder what an API is, please check this [lesson](/en/lessons/introduction-to-populating-a-website-with-api-data#what-is-application-programming-interface-api).) This latter option will require some coding, but Justin Littman, one of the creators of TweetSets, does a good job summarizing some of the higher-level ways of interacting with the API in this [post](https://gwu-libraries.github.io/sfm-ui/posts/2017-09-14-twitter-data).
+You could, however, substitute any tool that gives you a set of dehydrated tweets. Because tweets can be correlated to so much data, it’s more efficient to distribute dehydrated data sets consisting of unique tweet IDs, and then allow users to “hydrate” the data, linking retweet counts, geolocation info, etc., to unique IDs. More importantly, [Twitter's terms for providing downloaded content to third parties](https://web.archive.org/web/20190927151316/https://developer.twitter.com/en/developer-terms/agreement-and-policy), as well as research ethics, are at play.   Other common places to acquire dehydrated datasets include Stanford’s [SNAP](https://snap.stanford.edu/data/) collections, the [DocNow Project](https://www.docnow.io) and data repositories, or the [Twitter Application Programming Interface (API)](https://developer.twitter.com/), directly. (If you wonder what an API is, please check this [lesson](/en/lessons/introduction-to-populating-a-website-with-api-data#what-is-application-programming-interface-api).) This latter option will require some coding, but Justin Littman, one of the creators of TweetSets, does a good job summarizing some of the higher-level ways of interacting with the API in this [post](https://gwu-libraries.github.io/sfm-ui/posts/2017-09-14-twitter-data).
 
 We find that the graphical, web-based nature of TweetSets, however, makes it ideal for learning this process. That said, if you want to obtain a dehydrated dataset by other means, you can just start at the [Hydrating](/en/lessons/beginners-guide-to-twitter-data#hydrating) section.
 
diff --git a/en/lessons/introduction-and-installation.md b/en/lessons/introduction-and-installation.md
@@ -88,7 +88,7 @@ doesn't work on your platform, please let us know.
 
   [Python programming language]: http://www.python.org/
   [Beautiful Soup HTML/XML parser]: http://www.crummy.com/software/BeautifulSoup/
-  [Komodo Edit]: http://www.activestate.com/komodo-edit
+  [Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
   [Python Editors]: https://wiki.python.org/python/PythonEditors
   [Jungle Disk]: https://www.jungledisk.com/
   [Dropbox]: https://www.dropbox.com/home
diff --git a/en/lessons/linux-installation.md b/en/lessons/linux-installation.md
@@ -158,5 +158,5 @@ more interesting tasks. If you are working through the Python lessons in
 order, we suggest you next try ‘[Understanding Web Pages and HTML][]‘
 
   [other text editing options]: https://wiki.python.org/python/PythonEditors
-  [Komoto Edit Website]: https://www.activestate.com/products/komodo-edit/
+  [Komoto Edit Website]: https://github.com/ActiveState/OpenKomodoIDE
   [Understanding Web Pages and HTML]: /lessons/viewing-html-files
diff --git a/en/lessons/preserving-your-research-data.md b/en/lessons/preserving-your-research-data.md
@@ -441,10 +441,10 @@ Rosenzweig, Roy, 'Scarcity or Abundance? Preserving the Past in a
 Digital Era', The American Historical Review 108:3 (2003), 735-762.
 
 UK Data Archive, 'Documenting your Data'
-<http://data-archive.ac.uk/create-manage/document>
+<https://dam.ukdataservice.ac.uk/media/440277/documentingdata.pdf>
 
   [PRINCE2]: http://en.wikipedia.org/wiki/PRINCE2
   [platform agnostic]: http://en.wikipedia.org/wiki/Cross-platform
   [Markdown]: http://en.wikipedia.org/wiki/Markdown
-  [Komodo Edit]: http://komodoide.com/komodo-edit/
+  [Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
   [Text Wrangler]: https://www.barebones.com/products/textwrangler/
diff --git a/en/lessons/sonification.md b/en/lessons/sonification.md
@@ -379,7 +379,7 @@ In this [sample file](/assets/sonification/sonification-jesuittopics.csv)(a topi
 
 ### Practice
 
-Follow the initial tutorials that Sonic Pi provides until you get a feel for the interface and some of the possibilities. (These tutorials are also concatenated [here](https://gist.github.com/jwinder/e59be201082cca694df9); you can also listen to an interview with Sam Aaron, the creator of Sonic Pi, [here](https://devchat.cachefly.net/rubyrogues/RR215SonicPi.mp3?rss=true)). Then, in a new buffer (editor window), copy the following (again, the code snippets that follow will eventually be collated into a single script in your Sonic Pi buffer window):
+Follow the initial tutorials that Sonic Pi provides until you get a feel for the interface and some of the possibilities. (These tutorials are also concatenated [here](https://gist.github.com/jwinder/e59be201082cca694df9); you can also listen to an interview with Sam Aaron, the creator of Sonic Pi, [here](https://web.archive.org/web/20250710140900/https://devchat.cachefly.net/rubyrogues/RR215SonicPi.mp3?rss=true)). Then, in a new buffer (editor window), copy the following (again, the code snippets that follow will eventually be collated into a single script in your Sonic Pi buffer window):
 
 ```
 require 'csv'
diff --git a/es/lecciones/instalacion-linux.md b/es/lecciones/instalacion-linux.md
@@ -122,5 +122,5 @@ Ahora que tú y tu computadora están en marcha y funcionando, podemos movernos
 
 
 [opciones de editores de texto]: https://wiki.python.org/python/PythonEditors
-[sitio web de Komodo Edit]: http://komodoide.com/komodo-edit/
+[sitio web de Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
 [Para entender páginas web y HTML]: /es/lecciones/ver-archivos-html
diff --git a/es/lecciones/introduccion-e-instalacion.md b/es/lecciones/introduccion-e-instalacion.md
@@ -68,7 +68,7 @@ Con el fin de trabajar con las diversas técnicas que se ofrecen en *Programming
 
 [Lenguaje de programación Python]: https://www.python.org
 [Analizador sintáctico (*parser*) Beautiful Soup HTML/XML]: https://www.crummy.com/software/BeautifulSoup/
-[Komodo Edit]: http://komodoide.com/komodo-edit/
+[Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
 [Editores de Texto para Python]: https://wiki.python.org/python/PythonEditors
 [Zotero]: https://www.zotero.org
 [Jungle Disk]: https://www.jungledisk.com
diff --git a/es/lecciones/preservar-datos-de-investigacion.md b/es/lecciones/preservar-datos-de-investigacion.md
@@ -262,10 +262,10 @@ Rosenzweig, Roy, 'Scarcity or Abundance? Preserving the Past in a
 Digital Era', The American Historical Review 108:3 (2003), 735-762.
 
 UK Data Archive, 'Documenting your Data'
-<http://data-archive.ac.uk/create-manage/document>
+<https://dam.ukdataservice.ac.uk/media/440277/documentingdata.pdf>
 
 
 [PRINCE2]: https://es.wikipedia.org/wiki/PRINCE2
 [independientes de plataforma]: https://es.wikipedia.org/wiki/Multiplataforma#Programaci.C3.B3n_multiplataforma
-[Komodo Edit]: http://komodoide.com/komodo-edit/
+[Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
 [Text Wrangler]: https://www.barebones.com/products/textwrangler/
diff --git a/fr/lecons/installer-ide-python-linux.md b/fr/lecons/installer-ide-python-linux.md
@@ -129,5 +129,5 @@ print('hello world')
 Maintenant que tout est prêt, vous pouvez passer à des choses plus intéressantes. Si vous souhaitez suivre les leçons dans l'ordre, nous vous suggérons &laquo;&#x202F;[Comprendre les pages web et le HTML][]&#x202F;&raquo; pour continuer.
 
   [de nombreux autres]: https://wiki.python.org/python/PythonEditors
-  [Komodo Edit Website]: https://www.activestate.com/products/komodo-edit/
+  [Komodo Edit Website]: https://github.com/ActiveState/OpenKomodoIDE
   [Comprendre les pages web et le HTML]: /fr/lecons/comprendre-les-pages-web
diff --git a/fr/lecons/introduction-et-installation.md b/fr/lecons/introduction-et-installation.md
@@ -62,7 +62,7 @@ Pour utiliser les techniques présentées ici, vous devrez d'abord télécharger
 
   [langage de programmation Python]: http://www.python.org/
   [l'analyseur HTML / XML Beautiful Soup]: http://www.crummy.com/software/BeautifulSoup/
-  [Komodo Edit]: http://www.activestate.com/komodo-edit
+  [Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
   [éditeurs compatibles avec Python]: https://wiki.python.org/python/PythonEditors
   [Zotero]: http://www.zotero.org/
   [Jungle Disk]: https://www.jungledisk.com/
diff --git a/fr/lecons/preserver-ses-donnees-de-recherche.md b/fr/lecons/preserver-ses-donnees-de-recherche.md
@@ -89,7 +89,7 @@ Le moment de la documentation dépend beaucoup de l'individu et du rythme de ses
 
 Les données de la recherche et la documentation devraient dans l'idéal être sauvegardées dans des formats ouverts, qui sont [compatibles avec tous les systèmes d'exploitation][], comme .txt pour les notes et .csv (comma-separated values) ou .tsv (tab-seperated values) pour les données tabulées. Ces formats texte brut sont préférables aux formats propriétaires utilisés par défaut avec Microsoft Office ou iWork parce qu'ils peuvent être ouverts avec de nombreux logiciels et ont une forte chance de rester lisibles et modifiables dans le futur. La plupart des suites bureautiques standards incluent une option permettant de sauvegarder les fichiers dans les formats .txt, .csv et .tsv, ce qui signifie que vous pouvez continuer à travailler avec vos logiciels habituels tout en faisant ce qu'il faut pour préserver votre travail. Comparés à du .doc ou du .xls, ces formats ont en plus l'atout, dans une perspective de préservation, de ne contenir que des éléments lisibles par la machine. Bien que l'utilisation des caractères gras, italiques ou colorés pour signifier des titres ou établir des connections visuelles entre des données soit une pratique courante, ces annotations servent à l'affichage sans être lisibles par les machines et ne peuvent pas être interrogées ni fouillées. Elles ne sont pas non plus appropriées pour les grandes quantités d'informations. Il est préférable d'utiliser des schémas de notations simples comme des doubles astérisques ou des triples croisillons pour représenter des caractéristiques: dans mes notes, par exemple, trois points d'interrogations indiquent un point que je dois suivre, j'ai choisi "???' car cette suite peut être facilement trouvée avec une recherche CTRL+F.
 
-Dans de nombreuses occasions, il est probable que ces schémas de notation émergent de la pratique individuelle (et doivent par conséquent être documentés), alors qu'il existe des schémas comme le [Markdown][] de [GitHub](https://github.com) (les fichiers Markdown sont enregistrés au format .md). Un excellent aide-mémoire au Markdown est disponible sur [GitHub](https://github.com/adam-p/markdown-here) pour ceux qui veulent suivre - ou adapter - le schéma existant. [Notepad++](http://notepad-plus-plus.org) est recommandé pour les utilisateurs de Windows, bien que nullement essentiel pour travailler avec des fichiers .md. Les utilisateurs de Mac ou d'Unix peuvent utiliser [Komodo Edit](https://www.activestate.com/products/komodo-edit/) ou [Text Wrangler](https://www.barebones.com/support/textwrangler/updates.html).
+Dans de nombreuses occasions, il est probable que ces schémas de notation émergent de la pratique individuelle (et doivent par conséquent être documentés), alors qu'il existe des schémas comme le [Markdown][] de [GitHub](https://github.com) (les fichiers Markdown sont enregistrés au format .md). Un excellent aide-mémoire au Markdown est disponible sur [GitHub](https://github.com/adam-p/markdown-here) pour ceux qui veulent suivre - ou adapter - le schéma existant. [Notepad++](http://notepad-plus-plus.org) est recommandé pour les utilisateurs de Windows, bien que nullement essentiel pour travailler avec des fichiers .md. Les utilisateurs de Mac ou d'Unix peuvent utiliser [Komodo Edit](https://github.com/ActiveState/OpenKomodoIDE) ou [Text Wrangler](https://www.barebones.com/support/textwrangler/updates.html).
 
 * * * * *
 
@@ -271,12 +271,8 @@ Rosenzweig, Roy, 'Scarcity or Abundance? Preserving the Past in a
 Digital Era', The American Historical Review 108:3 (2003), 735-762.
 
 UK Data Archive, 'Documenting your Data'
-<http://data-archive.ac.uk/create-manage/document>
+<https://dam.ukdataservice.ac.uk/media/440277/documentingdata.pdf>
 
   [PRINCE2]: https://fr.wikipedia.org/wiki/PRINCE2
   [compatibles avec tous les systèmes d'exploitation]: https://fr.wikipedia.org/wiki/Logiciel_multiplateforme
   [Markdown]: https://fr.wikipedia.org/wiki/Markdown
-  [GitHub] : https://github.com/adam-p/markdown-here
-  [Notepad++] : http://notepad-plus-plus.org/fr/
-  [Komodo Edit]: https://www.activestate.com/products/komodo-edit/
-  [Text Wrangler]: https://www.barebones.com/support/textwrangler/updates.html
diff --git a/pt/licoes/instalacao-linux.md b/pt/licoes/instalacao-linux.md
@@ -133,6 +133,7 @@ Agora que você e o seu computador estão preparados, podemos seguir para tarefa
 nossa sugestão é que você tente a próxima lição ‘[Noções básicas de páginas web e HTML][]‘
 
   [outros editores]: https://wiki.python.org/python/PythonEditors
-  [site do Komodo Edit]: https://www.activestate.com/products/komodo-ide/downloads/edit/
+  [site do Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE/releases
   [Noções básicas de páginas web e HTML]: nocoes-basicas-paginas-web-html
 
+
diff --git a/pt/licoes/introducao-instalacao-python.md b/pt/licoes/introducao-instalacao-python.md
@@ -76,7 +76,7 @@ Nós fornecemos instruções para o Mac, Windows e Linux. Uma vez que você tenh
 
   [Linguagem de Programação Python]: http://www.python.org/
   [Analisador de HTML/XML Beautiful Soup]: http://www.crummy.com/software/BeautifulSoup/
-  [Komodo Edit]: http://www.activestate.com/komodo-edit
+  [Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
   [Editores Python]: https://wiki.python.org/python/PythonEditors
   [Jungle Disk]: https://www.jungledisk.com/
   [Dropbox]: https://www.dropbox.com/home
@@ -85,3 +85,4 @@ Nós fornecemos instruções para o Mac, Windows e Linux. Uma vez que você tenh
   [Instalação do Python para Windows]: instalacao-windows
   [Instalação do Python para Linux]: instalacao-linux
 
+
diff --git a/pt/licoes/preservar-os-seus-dados-de-investigacao.md b/pt/licoes/preservar-os-seus-dados-de-investigacao.md
@@ -444,10 +444,10 @@ Rosenzweig, Roy, 'Scarcity or Abundance? Preserving the Past in a
 Digital Era', The American Historical Review 108:3 (2003), 735-762.
 
 UK Data Archive, 'Documenting your Data'
-<http://data-archive.ac.uk/create-manage/document>
+<https://dam.ukdataservice.ac.uk/media/440277/documentingdata.pdf>
 
   [PRINCE2]: https://pt.wikipedia.org/wiki/PRINCE2
   [multiplataforma]: https://pt.wikipedia.org/wiki/Multiplataforma 
   [Markdown]: https://pt.wikipedia.org/wiki/Markdown
-  [Komodo Edit]: http://komodoide.com/komodo-edit/
+  [Komodo Edit]: https://github.com/ActiveState/OpenKomodoIDE
   [Text Wrangler]: https://www.barebones.com/products/textwrangler/
diff --git a/pt/licoes/som-dados-sonificacao-historiadores.md b/pt/licoes/som-dados-sonificacao-historiadores.md
@@ -393,7 +393,7 @@ Nesse [ficheiro de amostra](/assets/sonification/sonification-jesuittopics.csv)
 
 ### Prática
 
-Siga os tutoriais iniciais que o Sonic Pi oferece até se sentir confortável com a interface e algumas das suas possibilidades. (Esses tutoriais também estão agrupados [aqui](https://gist.github.com/jwinder/e59be201082cca694df9); também é possível escutar uma entrevista com Sam Aaron, o criador do Sonic Pi, [aqui](https://devchat.cachefly.net/rubyrogues/RR215SonicPi.mp3?rss=true)). Então, em uma nova janela de edição, copie o seguinte (novamente, o trecho de código a seguir eventualmente será agrupado em um script único na sua janela do Sonic Pi):
+Siga os tutoriais iniciais que o Sonic Pi oferece até se sentir confortável com a interface e algumas das suas possibilidades. (Esses tutoriais também estão agrupados [aqui](https://gist.github.com/jwinder/e59be201082cca694df9); também é possível escutar uma entrevista com Sam Aaron, o criador do Sonic Pi, [aqui](https://web.archive.org/web/20250710140900/https://devchat.cachefly.net/rubyrogues/RR215SonicPi.mp3?rss=true)). Então, em uma nova janela de edição, copie o seguinte (novamente, o trecho de código a seguir eventualmente será agrupado em um script único na sua janela do Sonic Pi):
 
 ```
 require 'csv'
@@ -485,3 +485,4 @@ Sonificar os nossos dados nos faz confrontar os modos como os nossos dados são,
 <a name="Koebler"></a>Koebler, Jason. 2015. "The Strange Acoustic Phenomenon Behind These Wacked-Out Versions of Pop Songs" Motherboard, Dec 18. [http://motherboard.vice.com/read/the-strange-acoustic-phenomenon-behind-these-wacked-out-versions-of-pop-songs](http://motherboard.vice.com/read/the-strange-acoustic-phenomenon-behind-these-wacked-out-versions-of-pop-songs)
 
 <a name="Last"></a>Last and Usyskin, 2015. "Listen to the Sound of Data". In Aaron K. Baughman et al. (eds.) Multimedia Data Mining and Analytics. Springer: Heidelberg. Pp. 419-446 [https://www.researchgate.net/publication/282504359_Listen_to_the_Sound_of_Data](https://www.researchgate.net/publication/282504359_Listen_to_the_Sound_of_Data)
+
