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All Outputs (14)

COVID-19 UK Social Media Dataset for Public Health Research (2021)
Data
Plant, R., Hussain, A., & Sheikh, A. (2021). COVID-19 UK Social Media Dataset for Public Health Research. [Data]. https://doi.org/10.17869/enu.2021.2755974

We present a benchmark database of public social media postings from the United Kingdom related to the Covid-19 pandemic for academic research purposes, along with some initial analysis, including a taxonomy of key themes organised by keyword. This r... Read More about COVID-19 UK Social Media Dataset for Public Health Research.

Interactivity In Linear Diagrams Materials [dataset] (2021)
Data
Chapman, P. (2021). Interactivity In Linear Diagrams Materials [dataset]. [Data]. https://doi.org/10.17869/enu.2021.2748492

This folder contains the:
- study materials
- participant responses
- amalgamated dataset
- analysis

that form part of the paper:
Chapman, Peter (2021) Interactivity in Linear Diagrams.

Drawing Algorithms For Linear Diagrams (Supplementary) (2020)
Data
Chapman, P., & Sim, K. (2021). Drawing Algorithms For Linear Diagrams (Supplementary). [Data]. https://doi.org/10.17869/enu.2021.2748170

This folder contains the material to go with the article:

Peter Chapman, Kevin Sim, Huanghao Chen (2021) Drawing Algorithms for Linear Diagrams.

The code, the benchmark set of diagrams, the dataset of algorithms applied to the benchmark set, an... Read More about Drawing Algorithms For Linear Diagrams (Supplementary).

ASPIRE - Real noisy audio-visual speech enhancement corpus (2020)
Data
Gogate, M., Dashtipour, K., Adeel, A., & Hussain, A. (2020). ASPIRE - Real noisy audio-visual speech enhancement corpus. [Data]. https://doi.org/10.5281/zenodo.4585619

ASPIRE is a a first of its kind, audiovisual speech corpus recorded in real noisy environment (such as cafe, restaurants) which can be used to support reliable evaluation of multi-modal Speech Filtering technologies. This dataset follows the same sen... Read More about ASPIRE - Real noisy audio-visual speech enhancement corpus.

Measuring perceived clutter in concept diagrams dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Measuring perceived clutter in concept diagrams dataset. [Data]. https://doi.org/10.17869/enu.2019.2275800

Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams dataset.

Debugging Ontologies Dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Debugging Ontologies Dataset. [Data]. https://doi.org/10.17869/enu.2019.2275806

Visualization has been widely used for the representation of ontologies. However, to the best of our knowledge, visualization has been little employed in ontology debugging. Effective ontology debugging is crucial for engineers and domain experts to... Read More about Debugging Ontologies Dataset.

Antipattern comprehension dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Antipattern comprehension dataset. [Data]. https://doi.org/10.17869/enu.2019.2275783

Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In the paper associated with this data set, we presented two methods for displaying justifications using concep... Read More about Antipattern comprehension dataset.

Rich Data for Wind Turbine Power Performance Analysis (2019)
Data
Davison, B. (2019). Rich Data for Wind Turbine Power Performance Analysis. [Data]. https://doi.org/10.13020/1etn-1q17

This dataset was created in order to support comparative analyses concerning the relationships between meteorological parameters and wind turbine power output. It addresses some of the limitations of existing datasets such as those compiled for comme... Read More about Rich Data for Wind Turbine Power Performance Analysis.

Librarian Questionnaire data for IL-DEM project November - December 2016 (2017)
Data
Hall, H., Cruickshank, P., & Ryan, B. (2017). Librarian Questionnaire data for IL-DEM project November - December 2016. [Data]. https://doi.org/10.17869/ENU.2017.682093

Results of questionnaire emailed to senior public librarians in Scotland. Questions were around their support of Community Councils including support and training of Community Councillors information skills, for a project around information literacy... Read More about Librarian Questionnaire data for IL-DEM project November - December 2016.

Community Council Liaison Officer questionnaire data for IL-DEM project November - December 2016 (2017)
Data
Hall, H., Cruickshank, P., & Ryan, B. (2017). Community Council Liaison Officer questionnaire data for IL-DEM project November - December 2016. [Data]. https://doi.org/10.17869/ENU.2017.682243

Results of questionnaire emailed to all Community Council Liaison Officers (1) in Scotland. Questions were around their Community Councils' use of information skills, for a project around information literacy in community-level democracy.

(1) Com... Read More about Community Council Liaison Officer questionnaire data for IL-DEM project November - December 2016.

Community Councillors survey data for IL-DEM project November -December 2016 (2017)
Data
Hall, H., Cruickshank, P., & Ryan, B. (2017). Community Councillors survey data for IL-DEM project November -December 2016. [Data]. https://doi.org/10.17869/ENU.2017.682227

Results of online survey of Community Councillors around Scotland. Most questions were around their use of information skills, for a project around information literacy in community-level democracy, but some questions were about their general roles a... Read More about Community Councillors survey data for IL-DEM project November -December 2016.

Interviews with Community Councillors for IL-DEm project November - December 2016 (2016)
Data
Hall, H., Cruickshank, P., & Ryan, B. (2016). Interviews with Community Councillors for IL-DEm project November - December 2016. [Data]. https://doi.org/10.17869/ENU.2017.682133

Transcripts of semi-structured interviews with 19 Community Councillors from around Scotland. Most questions were around their use of information skills, for a project around information literacy in community-level democracy, but some questions were... Read More about Interviews with Community Councillors for IL-DEm project November - December 2016.

The REAL corpus (2016)
Data
Bartie, P., Mackaness, W., Gkatzia, D., & Rieser, V. (2016). The REAL corpus. [Data]

Our interest is in people’s capacity to efficiently and effectively describe geographic objects in urban scenes. The broader ambition is to develop spatial models capable of equivalent functionality able to construct such referring expressions. To th... Read More about The REAL corpus.