Merge pull request #3419 from programminghistorian/Issue-3418

Issue 3418

en/lessons/transforming-xml-with-xsl.md

@@ -239,7 +239,7 @@ The command line code examples we will show here will assume that this is the ca
 
 # Choosing and Preparing XML Data
 
-In order to begin transforming XML, you will need to obtain a well-formed dataset. Many online historical databases are built upon XML and provide their data freely. This tutorial will make use of the [Scissors and Paste Database](http://www.scissorsandpaste.net).
+In order to begin transforming XML, you will need to obtain a well-formed dataset. Many online historical databases are built upon XML and provide their data freely. This tutorial will make use of the [Scissors and Paste Database](http://scissors-and-paste.net).
 
 The *Scissors and Paste Database* is a collaborative and growing collection of articles from British and imperial newspapers in the 18th and 19th centuries. Its original purpose was to allow for careful comparisons of reprints (copies) that appeared in multiple newspapers as well as to detect similarly themed articles across different English-language publications. Like many XML databases, *Scissors and Paste* contains both data (the article's text), formatting information (such as italics and justification), and metadata. This metadata includes documentation about the particular article, such as its pagination and printing date, information about the newspaper in which it was published, and the themes, individuals or locations mentioned in the text.
 

en/lessons/using-javascript-to-create-maps.md

@@ -38,7 +38,7 @@ Originally, when we set out to study Chapman's correspondence with digital tools
 
 Many of the mistakes, misspellings, and incorrect data points only became noticeable after the data was run through the software and a map generated, but having to reload all of the data from scratch was not a sustainable option. So we began drafting the code for the JavaScript map, which allowed us to easily run the visualization on our local system using a local web server to catch problems and errors as we worked. The script we ended up writing also allows the map to be interactive, making it a more useful tool for research and discovery than a static visualization. Being able to easily update the map was also important as the Boston Public Library was not finished digitizing their antislavery collection at the time of writing, and we hoped to expand the dataset to include the correspondence of other abolitionists if our test was successful. Creating our own tool allowed us the flexibility to adapt our project to the constraints of the data.
 
-After we began working on this project, several other options for building online interactive maps became available, most notably [Carto](https://carto.com/data-library) and [Palladio](http://hdlab.stanford.edu/palladio/) (a Stanford University project). Neither of these products were available when we began and they both have some limitations that may be problematic for some scholars. Carto only allows you to keep your data private if you pay for a subscription. Palladio, which creates a map very similar to the one we built, only allows you to share your maps via screenshots, so other people cannot easily use your interactive map. Running your own script via a local or web server is the easiest and most straightforward way to control your data and the look of your map without purchasing a subscription to an online service. But if you do decide to use Carto, Palladio, or another online mapping service, this lesson can still be useful to you as you <a href="#collecting-data">collect</a> and <a href="#cleaning-data-and-identifying-coordinates">clean your data</a> and <a href="#analysis">analyze the resulting map</a>.
+After we began working on this project, several other options for building online interactive maps became available, most notably [Carto](https://carto.com/platform) and [Palladio](http://hdlab.stanford.edu/palladio/) (a Stanford University project). Neither of these products were available when we began and they both have some limitations that may be problematic for some scholars. Carto only allows you to keep your data private if you pay for a subscription. Palladio, which creates a map very similar to the one we built, only allows you to share your maps via screenshots, so other people cannot easily use your interactive map. Running your own script via a local or web server is the easiest and most straightforward way to control your data and the look of your map without purchasing a subscription to an online service. But if you do decide to use Carto, Palladio, or another online mapping service, this lesson can still be useful to you as you <a href="#collecting-data">collect</a> and <a href="#cleaning-data-and-identifying-coordinates">clean your data</a> and <a href="#analysis">analyze the resulting map</a>.
 
 ### Lesson Goals
 

es/lecciones/transformacion-datos-xml-xsl.md

@@ -256,7 +256,7 @@ Los ejemplos de código de línea de comandos que mostraremos aquí presupondrá
 
 Para empezar a transformar un documento XML, primero es necesario obtener un archivo *bien formado*.[^2] 
 Muchas bases de datos históricas disponibles en línea están modeladas en XML y, a veces, ofrecen sus datos en abierto. 
-Para realizar este tutorial utilizaremos la base de datos [Scissors and Paste](http://www.scissorsandpaste.net).
+Para realizar este tutorial utilizaremos la base de datos [Scissors and Paste](http://scissors-and-paste.net).
 
 La base de datos *Scissors and Paste* es una colección colaborativa, en continuo crecimiento, que contiene noticias procedentes de periódicos británicos e imperiales de los siglos XVIII y XIX. Los dos objetivos originales del proyecto eran facilitar la comparación de reediciones aparecidas en distintos periódicos y detectar temas similares en distintas publicaciones inglesas. Como muchas bases de datos XML, *Scissors and Paste* contiene datos (el texto), información sobre el formato (como las cursivas o las justificación de los párrafos) y metadatos.[^3]
 Los metadatos recogen la paginación de la noticia, la fecha de impresión, algunos detalles adicionales sobre el periódico, los temas principales y una lista con las personas y lugares mencionados.