MarathonEnviroments fix for globalization

preserve-whitespace-mixed-content

This example demonstrates the effect of XML whitespace preservation on text tokenization and index depth. It uses the `conf.xml` configuration file, which specifies settings for `indexer`, including `preserve-whitespace-mixed-content`, `suppress-whitespace`, and `tokenizer`. The visualization likely parses these directives to show how whitespace handling alters the parsed document tree, using a graphing library such as D3.js to render the structure, with node placement driven by a force-directed layout algorithm. The source is an eXist-db configuration file.

Gist 5578815

A comic-strip conversation between animated characters, built with the CMX library, uses a `scene` and `actor` elements with `pose` attributes to create a sequence of panels. The scene shows one happy day with a character telling teammates about a present, while a later scene reacts to a build server’s report of 187 compilation errors. Speech bubbles are defined via `bubble` elements containing `tspan` text. The data is hardcoded within the `index.html` file, using CMX’s scene and actor APIs to drive the animation.

RRestuta

<title>{$info[1]}

This example demonstrates a metadata transformation from TEI to MODS, converting bibliographic details from an XML source document. The code uses XQuery 3.0 with custom functions `local:gather-information` and `local:generate-mods` to extract fields like title, author, language, publication info, and abstract from the TEI file, then constructs a MODS record and stores it via `xmldb:store`. The visualization shows how structured metadata can be programmatically reshaped between standards, relying on XPath queries and namespace declarations to map data accurately.

Gist 294bf474d3283271f3e967f4e15f0d03

This example runs a sensitivity analysis on a GAMA agent-based model, testing a wide range of parameter values to assess their influence on simulation outcomes. It defines dozens of parameter ranges (e.g., distances, probabilities, counts) via R’s `seq()` function, then generates an XML experiment plan for headless GAMA simulations, launched in parallel across 24 cores using a Bash script with `taskset`. The visualization itself is not produced here; the code focuses on experimental setup and parameter sampling.

RRCura

A model MODS document

This example shows a blank metadata template for a MODS document, a standard XML format for bibliographic records. It visualizes the empty structure of the schema, including fields for title, creator, language, subject, and publication details. The code parses the XML using JavaScript’s DOMParser and renders the hierarchy as a node-link diagram with d3.forceSimulation for layout and d3.hierarchy for tree traversal. The visualization does not load external data beyond the provided mods.xml file, focusing solely on the schema’s skeleton.

Convert JSON to Dublin Core in XML

This example shows a live conversion of movie search results from JSON into Dublin Core XML metadata. It retrieves data from the OMDB API using `fetch:text` and `fn:parse-json` to parse the response, then extracts the `Search` array. For each movie, it creates a Dublin Core `title` and `relation` element, mapping the movie title and poster URL respectively. The code uses XQuery 3.1 with the `dc` namespace, and the final output is an XML `<movies>` wrapper. The example demonstrates a straightforward data transformation pipeline, not a visual chart, but it is included in the gallery for its metadata-handling technique.

44% match

Gist 22232677b43d0904992cd489d2aafdf0

This example demonstrates a shell script that automates the setup of a Linux scavenger hunt lab environment. It creates a directory, clones a Git repository from GitLab, initializes submodules, and uses Vagrant to launch a virtual machine. The script then runs a PowerShell reprovisioner script and fixes line endings with `dos2unix` before executing the reprovisioning process. The visualization—if any—is not present; the code focuses purely on environment provisioning using Git, Vagrant, and PowerShell APIs.

PPeleke

44% match

Tricky Metadata Problem

This visualization demonstrates the geographic distribution of artists' books by filtering MARCXML records according to publication location codes, then organizing them into a simple table. It shows which US states and territories are represented in the source collection, with each row containing the record’s leader, normalized title, and three-letter location code. The XQuery script uses the `fn:doc()` function to fetch remote XML, the `marc` namespace to parse MARC fields, and `csv:serialize()` from the BaseX or eXist-db library to generate a CSV output. Titles are cleaned by stripping trailing slashes and normalizing whitespace via string functions.