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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
130 Research products, page 1 of 13

  • Digital Humanities and Cultural Heritage
  • Research software
  • 2022-2022

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  • Research software . 2022
    Open Access English
    Authors: 
    Sherratt, Tim;
    Publisher: Zenodo

    Current version: v1.0.0 Tools and examples for working with GLAM information in Wikidata. For more information see the Wikidata section of the GLAM Workbench. Notebook topics Create a Gannt chart of Australian government departments – visualises life dates of government departments Create a network graph visualisation of Australian government departments – visualises changes in Australian government departments over time Visualise the connections of a single Australian government agency See the GLAM Workbench for more details.

  • Open Access
    Authors: 
    Frerebeau, Nicolas; Lebrun, Brice; Peeples, Matthew; Marwick, Ben; Philippe, Anne; Fourvel, Jean-Baptiste;
    Publisher: Zenodo
    Country: France

    An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams. To cite package "tabula" in publications use:

  • Open Access
    Authors: 
    Sikk, Kaarel;
    Publisher: Zenodo

    NetLogo model of settlement system formation and Jupyter notebooks containing model exploration as published in: Sikk, K; Caruso, G. 2022 "A spatial agent-based model to disentangle environmental determinism and agglomeration effects in the emergence of settlement patterns" To run The operation requires NetLogo modelling software and Jupyter Lab installed on your computer. Both files should be unpacked in one directory. Then .ipynb should be opened, configuration changed in the header, required python libraries installed. Following the workflows in Jupyter notebooks and the simulation results can be rerun and reproduced.

  • Open Access English
    Authors: 
    Harrop, Mitchell;
    Publisher: Zenodo

    Current version: v1.0.1 A collection of examples using the Victorian Heritage Database API. For more information see the Heritage Council of Victoria section of the GLAM Workbench. Notebook topics Introduction to the Victorian Heritage Database API This repository is part of the GLAM Workbench.

  • English
    Authors: 
    Amirhosein Bodaghi;
    Publisher: Code Ocean

    This code gets a number of tweets as the input and delivers the semantic graph of relationships between entities of those tweets' text. To this aim first it does a series of text cleanings, and then proceeds with entity extraction and resolutions which come in multiple stages. Finally, the code creates the graph in which nodes represent the entities and the link between them indicates the co-concurrency of those entities in at least one tweet of the input data.

  • English
    Authors: 
    Jihye Moon; Posada-Quintero, Hugo F.; Chon, Ki H.;
    Publisher: Code Ocean

    We have developed a literature embedding model to identify significant cardiovascular disease (CVD) risk factors and associated information. Our model that trained using literature data and retrieve CVD risk factors and significant information related to a given query. Our model can be used with CVD prediction on cohort data as feature selection (FS) and dimensionality reduction (DR) tasks. This capsule provides all procedures for literature data collection/pre-processing, literature model training process, CVD risk factor identifications, and FS and DR applications for CVD prediction on cohort data.

  • Authors: 
    Cochrane, Ethan;
    Publisher: The University of Auckland

    R script for analysis of Leppard_et_al_Supplementary_data_data_table.csv

  • Research software . 2022
    Open Access
    Authors: 
    Delaney, Orla; Padfield, Joseph;
    Publisher: Zenodo
    Project: EC | SSHOC (823782)

    In 2018 the IPERION-CH Grounds Database was presented to examine how the data produced through the scientific examination of historic painting preparation or grounds samples, from multiple institutions could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images, text, complex metadata and procedural documentation. The original main user interface is live, though password protected at this time. The SSHOC work aimed to make this data more FAIR so in addition to mapping it to a standard ontology, to increase interoperability, it has also been made available in the form of open linkable data combined with a SPARQL end-point. A draft version of this live data presentation can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

  • Research software . 2022
    Open Source Shell
    Authors: 
    Trieu, Hai-Long;
    Publisher: bio.tools

    BioVAE is a pre-trained latent variable language model for biomedical text mining. Large scale pre-trained language models (PLMs) have advanced state-of-the-art (SOTA) performance on various biomedical text mining tasks. The power of such PLMs can be combined with the advantages of deep generative models. These are examples of these combinations. However, they are trained only on general domain text, and biomedical models are still missing. In this work, we describe BioVAE, the first large scale pre-trained latent variable language model for the biomedical domain, which uses the OPTIMUS framework to train on large volumes of biomedical text. The model shows SOTA performance on several biomedical text mining tasks when compared to existing publicly available biomedical PLMs.

  • Research software . 2022
    Open Access
    Authors: 
    Sherratt, Tim;
    Publisher: Zenodo

    Current version: v1.1.0 This repository contains Jupyter notebooks to work with data from the National Archives of Australia's RecordSearch database. RecordSearch is the online collection database of the National Archives of Australia. Based on the series system, RecordSearch provides rich, contextual information about series, items, agencies, and functions. Unfortunately RecordSearch doesn't provide access to machine-readable data through an API, so we have to resort to screen scraping. The notebooks here make use of the RecordSearch Data Scraper. See the RecordSearch section of the GLAM Workbench for more details. Notebook topics Harvesting data Harvest items from a search in RecordSearch – save the results of an item search in RecordSearch as a downloadable dataset, you can also save images and PDFs from digitised files Harvest files with the access status of 'closed' – find out what we're not allowed to see by harvesting details of 'closed' files Harvest recently digitised files from RecordSearch – save details of files digitised in the past month Harvest details of all series in RecordSearch – get details of all series registered in RecordSearch, also generates a summary dataset with the total number of items digitised, described and in each access category Harvesting functions from the RecordSearch interface – extract information from the RecordSearch interface about the hierarchy of functions it uses to describe the work of government agencies Harvest agencies associated with all functions – loops through the list of functions saving details of the agencies associated with each Analysing data Exploring harvested series data, 2021 – generates some basic statistics from the harvest of series data Exploring harvested series data, 2022 – generates some basic statistics from the harvest of series data in 2022 and compares the results to the previous year Summary of records digitised in the previous week – run this notebook to analyse the most recent dataset of recently digitised files, summarising the results by series How many of the functions are actually used? – looks at the harvest of functions to see how many are actually in use Who's responsible? – pick a function to which which agencies are have been responsible for it over time Useful tools DIY Redaction Art Collages – generates a random sample of ASIO redactions and packs them into one big image Download the contents of a digitised file – get a digitised files as a folder full of images Get a list of agencies associated with a function - pick a function and create a downloadable list of agencies responsible for it DFAT Cable Finder – helps you find numbered cables created by DFAT Data downloads Summary data about all series in RecordSearch, May 2021 (15mb CSV) – contains basic descriptive information about all the series currently registered on RecordSearch (May 2021) as well as the total number of items described, digitised, and in each access category. Summary data about all series in RecordSearch, April 2022 (15mb CSV) – contains basic descriptive information about all the series currently registered on RecordSearch (May 2021) as well as the total number of items described, digitised, and in each access category. Recently digitised files (CSV) – containing details of files digitised between 25 February and 26 March 2021, for an ongoing record of digitised files see this repository which creates weekly snapsots. Cite as See the GLAM Workbench or Zenodo for up-to-date citation details. This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
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arrow_drop_down
includes
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Include:
The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
130 Research products, page 1 of 13
  • Research software . 2022
    Open Access English
    Authors: 
    Sherratt, Tim;
    Publisher: Zenodo

    Current version: v1.0.0 Tools and examples for working with GLAM information in Wikidata. For more information see the Wikidata section of the GLAM Workbench. Notebook topics Create a Gannt chart of Australian government departments – visualises life dates of government departments Create a network graph visualisation of Australian government departments – visualises changes in Australian government departments over time Visualise the connections of a single Australian government agency See the GLAM Workbench for more details.

  • Open Access
    Authors: 
    Frerebeau, Nicolas; Lebrun, Brice; Peeples, Matthew; Marwick, Ben; Philippe, Anne; Fourvel, Jean-Baptiste;
    Publisher: Zenodo
    Country: France

    An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams. To cite package "tabula" in publications use:

  • Open Access
    Authors: 
    Sikk, Kaarel;
    Publisher: Zenodo

    NetLogo model of settlement system formation and Jupyter notebooks containing model exploration as published in: Sikk, K; Caruso, G. 2022 "A spatial agent-based model to disentangle environmental determinism and agglomeration effects in the emergence of settlement patterns" To run The operation requires NetLogo modelling software and Jupyter Lab installed on your computer. Both files should be unpacked in one directory. Then .ipynb should be opened, configuration changed in the header, required python libraries installed. Following the workflows in Jupyter notebooks and the simulation results can be rerun and reproduced.

  • Open Access English
    Authors: 
    Harrop, Mitchell;
    Publisher: Zenodo

    Current version: v1.0.1 A collection of examples using the Victorian Heritage Database API. For more information see the Heritage Council of Victoria section of the GLAM Workbench. Notebook topics Introduction to the Victorian Heritage Database API This repository is part of the GLAM Workbench.

  • English
    Authors: 
    Amirhosein Bodaghi;
    Publisher: Code Ocean

    This code gets a number of tweets as the input and delivers the semantic graph of relationships between entities of those tweets' text. To this aim first it does a series of text cleanings, and then proceeds with entity extraction and resolutions which come in multiple stages. Finally, the code creates the graph in which nodes represent the entities and the link between them indicates the co-concurrency of those entities in at least one tweet of the input data.

  • English
    Authors: 
    Jihye Moon; Posada-Quintero, Hugo F.; Chon, Ki H.;
    Publisher: Code Ocean

    We have developed a literature embedding model to identify significant cardiovascular disease (CVD) risk factors and associated information. Our model that trained using literature data and retrieve CVD risk factors and significant information related to a given query. Our model can be used with CVD prediction on cohort data as feature selection (FS) and dimensionality reduction (DR) tasks. This capsule provides all procedures for literature data collection/pre-processing, literature model training process, CVD risk factor identifications, and FS and DR applications for CVD prediction on cohort data.

  • Authors: 
    Cochrane, Ethan;
    Publisher: The University of Auckland

    R script for analysis of Leppard_et_al_Supplementary_data_data_table.csv

  • Research software . 2022
    Open Access
    Authors: 
    Delaney, Orla; Padfield, Joseph;
    Publisher: Zenodo
    Project: EC | SSHOC (823782)

    In 2018 the IPERION-CH Grounds Database was presented to examine how the data produced through the scientific examination of historic painting preparation or grounds samples, from multiple institutions could be combined in a flexible digital form. Exploring the presentation of interrelated high resolution images, text, complex metadata and procedural documentation. The original main user interface is live, though password protected at this time. The SSHOC work aimed to make this data more FAIR so in addition to mapping it to a standard ontology, to increase interoperability, it has also been made available in the form of open linkable data combined with a SPARQL end-point. A draft version of this live data presentation can been found Here. A live version of the mapped data created with this software can be found at: https://rdf.ng-london.org.uk/sshoc

  • Research software . 2022
    Open Source Shell
    Authors: 
    Trieu, Hai-Long;
    Publisher: bio.tools

    BioVAE is a pre-trained latent variable language model for biomedical text mining. Large scale pre-trained language models (PLMs) have advanced state-of-the-art (SOTA) performance on various biomedical text mining tasks. The power of such PLMs can be combined with the advantages of deep generative models. These are examples of these combinations. However, they are trained only on general domain text, and biomedical models are still missing. In this work, we describe BioVAE, the first large scale pre-trained latent variable language model for the biomedical domain, which uses the OPTIMUS framework to train on large volumes of biomedical text. The model shows SOTA performance on several biomedical text mining tasks when compared to existing publicly available biomedical PLMs.

  • Research software . 2022
    Open Access
    Authors: 
    Sherratt, Tim;
    Publisher: Zenodo

    Current version: v1.1.0 This repository contains Jupyter notebooks to work with data from the National Archives of Australia's RecordSearch database. RecordSearch is the online collection database of the National Archives of Australia. Based on the series system, RecordSearch provides rich, contextual information about series, items, agencies, and functions. Unfortunately RecordSearch doesn't provide access to machine-readable data through an API, so we have to resort to screen scraping. The notebooks here make use of the RecordSearch Data Scraper. See the RecordSearch section of the GLAM Workbench for more details. Notebook topics Harvesting data Harvest items from a search in RecordSearch – save the results of an item search in RecordSearch as a downloadable dataset, you can also save images and PDFs from digitised files Harvest files with the access status of 'closed' – find out what we're not allowed to see by harvesting details of 'closed' files Harvest recently digitised files from RecordSearch – save details of files digitised in the past month Harvest details of all series in RecordSearch – get details of all series registered in RecordSearch, also generates a summary dataset with the total number of items digitised, described and in each access category Harvesting functions from the RecordSearch interface – extract information from the RecordSearch interface about the hierarchy of functions it uses to describe the work of government agencies Harvest agencies associated with all functions – loops through the list of functions saving details of the agencies associated with each Analysing data Exploring harvested series data, 2021 – generates some basic statistics from the harvest of series data Exploring harvested series data, 2022 – generates some basic statistics from the harvest of series data in 2022 and compares the results to the previous year Summary of records digitised in the previous week – run this notebook to analyse the most recent dataset of recently digitised files, summarising the results by series How many of the functions are actually used? – looks at the harvest of functions to see how many are actually in use Who's responsible? – pick a function to which which agencies are have been responsible for it over time Useful tools DIY Redaction Art Collages – generates a random sample of ASIO redactions and packs them into one big image Download the contents of a digitised file – get a digitised files as a folder full of images Get a list of agencies associated with a function - pick a function and create a downloadable list of agencies responsible for it DFAT Cable Finder – helps you find numbered cables created by DFAT Data downloads Summary data about all series in RecordSearch, May 2021 (15mb CSV) – contains basic descriptive information about all the series currently registered on RecordSearch (May 2021) as well as the total number of items described, digitised, and in each access category. Summary data about all series in RecordSearch, April 2022 (15mb CSV) – contains basic descriptive information about all the series currently registered on RecordSearch (May 2021) as well as the total number of items described, digitised, and in each access category. Recently digitised files (CSV) – containing details of files digitised between 25 February and 26 March 2021, for an ongoing record of digitised files see this repository which creates weekly snapsots. Cite as See the GLAM Workbench or Zenodo for up-to-date citation details. This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.