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gCube Catalogue (gCat) API is a library containing classes shared across gcat* components. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat-api/releases/tag/v2.3.0

gCube Catalogue (gCat) Service allows any client to publish on the gCube Catalogue. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat/releases/tag/v2.4.1

gCube Catalogue (gCat) Client is a library designed to interact with REST API exposed by the gCat Service. gCube is an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments, such as the D4Science Infrastructure, by favouring the realisation of reuse-oriented policies. gCube has been used to successfully build and operate infrastructures and virtual research environments for application domains ranging from biodiversity to environmental data management and cultural heritage. gCube offers components supporting typical data management workflows including data access, curation, processing, and visualisation on a large set of data typologies ranging from primary biodiversity data to geospatial and tabular data. D4Science is a Hybrid Data Infrastructure combining over 500 software components and integrating data from more than 50 different data providers into a coherent and managed system of hardware, software, and data resources. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube. The source code of this software version is available at: https://code-repo.d4science.org/gCubeSystem/gcat-client/releases/tag/v2.0.0

This is the initial release of the research compendium for the article by Tsirintoulaki, K., Matzig, D.N., Riede, F. (2022) "A 2D geometric morphometric assessment of chrono-cultural trends in osseous barbed points of the European Final Palaeolithic and Early Mesolithic" submitted to Open Archaeology. It contains all data and code, and will generate the results as found in the publication. The files hosted at https://github.com/yesdavid/Osseous_Barbed_Points_2D_GMM are the development versions and may have changed since the publication.

This is an interactive live modelling system which can automatically convert simple tab separated triples or JSON-LD (experimental) into graphical models using the mermaid library. General updates and improvements have been carried out, with the addition of pan and zoom functions for the displayed models, simple tooltips, alternative display labels for links, an alternative format to fix property labels to relationships lines and an update default instructions model. Instructions: Several worked examples, including some simple instructions relating to how this system works are included in the interactive web site: dynamic modelling, with all of the related code presented in GitHub. A live version of this tool can be found at: https://research.ng-london.org.uk/modelling/

The information uploaded here contains the code for the relational database Prosobab. A dump of the collected data has been put in DANS (https://dans.knaw.nl/) Prosobab is an online database of recorded inhabitants of Babylonia between c. 620 and 330 BCE. Its main focus is on individuals who lived in southern Mesopotamia under Persian rule (539-330 BCE), but it also includes the preceding period of the Neo-Babylonian Empire in an attempt to contextualize their lives and those of their family members. In addition to person data, Prosobab collects information on the texts and archives in which the individuals are recorded. The database is developed in the framework of ERC project “Persia and Babylonia” at Leiden University and is intended for everybody with an interest in Babylonian history or the Persian Empire. {"references": ["C. Waerzeggers, M. Gross, et al., Prosobab: Prosopography of Babylonia (c. 620-330 BCE) (Leiden University, 2019)"]} Programming language: PHP, JavaScript, jQuery Database management system: MySQL

DECODER SP tool This is the Semantic Parsing (SP) tool for the Decoder project (WP2) It is a Docker composition of Flask service and NN based translation services. To install it, you need to follow these steps: Call build_docker.sh to build the Docker container. Start the Docker container with run_docker.sh . To test the service, you can use test_semantic_parsing_jml_pkm.sh, test_semantic_parsing_jml.sh, test_semantic_parsing_pkm.sh and test_semantic_parsing.sh. SP API The SP tool, when interacting with the pkm, takes as parameters the information necessary to find comments in the pkm. Its return value is only a pair of a string and a code indicating the success of the operation or explaining its failure. The actual result is that the targeted comments are completed with their equivalent in the target language. The input parameters are used to send the following query to the pkm: code/{source_language}/comments/{project_id}/{file}. Input: project_id: pkm project to query source_language: the programming language of the file (java/c/cpp) target_language: the target programming or constraints language (jml, acsl, acsl++, ast, java, c, cpp) file: the file whose comments will be parsed to code. This Output: status: boolean indicating the success or failure of the call message: "Success" if status is true and an error message otherwise Side effect: If successful, the targeted comments are completed with their translation in the target language.

This is a simple set of processes for creating a standard set of webpages based on a simple set of json files. This project is intended to work along side other projects to provide a simple way of creating a set of consistent webpages, which can be delivered as part of your own GitHub project using GitHub pages. It has been extended to allow more complex features such as presenting IIIIF (https://iiif.io) viewers, Timelines, and ordered Lists & Galleries. Various updates to the related JavaScript libraries have been added along with an option to use the whole system to create dynamic as well as static websites. For more detail and the most current version of the code see: https://github.com/jpadfield/simple-site

This is an interactive live modelling system which can automatically convert simple tab separated triples or JSON-LD into graphical models using the mermaid library. General updates and improvements have been carried out, with the addition of the Mermaid SubGraph functionality to aid the organisation of more complex models. Instructions: Full details and instructions relating to how this system works is still being developed, however several examples are included in the interactive web site: dynamic modelling, with all of the related code presented in GitHub.

This repository contains several items supplementing the article Constructing Age in Children’s Literature: A Digital Approach to Guus Kuijer’s Oeuvre [The Lion and the Unicorn, forthcoming] stylometry_kuijer.ipynb -- a Jupyter Notebook, containing the code to (re)run the stylometric analyses. Given that the original texts are copyrighted, they are not part of this repository. meta.xlsx -- a spreadsheet containing meta-information about the works of fiction authored by Guus Kuijer. scatterplot_kuijer.html -- an interactive scatterplot, comparing children and adolescent speech on the one hand, and adult and old adult speech on the other (made with the scattertext tool, developed by Jason Kessler).