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All Outputs (62)

Kiswahili Labelled Dataset (2025)
Data
Kamau, H. (2025). Kiswahili Labelled Dataset. [Data]. https://doi.org/10.17869/enu.2025.4240879

Data collected for a master's dissertation focusing on sentiment analysis for Kiswahili. Collected from online sources between 8.01.2025 and 31.01.25 in Nairobi, Kenya.

Two datasets, one comprising 3,282 labelled Kiswahili text and one 3,117 label... Read More about Kiswahili Labelled Dataset.

Audio Occlusion Experiment Data (2025)
Data
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2025). Audio Occlusion Experiment Data. [Data]

This dataset comprises anonymous user study participant responses of audio occlusion to investigate presence response of body occlusions in the presence of sound sources in the direct path between the person and the audio driver speaker.

The RESIST Project Dataset: Data from the Work Package 1 (2024)
Data
Lynch, S., Titley, G., Filep, E., & Kulpa, R. (2024). The RESIST Project Dataset: Data from the Work Package 1. [Data]. https://doi.org/10.5281/ZENODO.11179225

This record for the Dataset from the Work Package 1 (Mapping Anti-Gender Discourses in Media and Parliamentary Debates) of the RESIST Project has been created in the Zenodo open repository, in line with the RESIST Project’s Data Management Plan, and... Read More about The RESIST Project Dataset: Data from the Work Package 1.

Ambient Air Pollution near Petrochemical Industries and Chronic Kidney Disease Risk: Integrating Citizen Science within an Exploratory Mixed Methods Study (dataset) (2024)
Data
Okoye, O. (2024). Ambient Air Pollution near Petrochemical Industries and Chronic Kidney Disease Risk: Integrating Citizen Science within an Exploratory Mixed Methods Study (dataset). [Data]. https://doi.org/10.17869/enu.2024.3559366

This is data underpinning the thesis titled 'Ambient Air Pollution near Petrochemical Industries and Chronic Kidney Disease Risk: Integrating Citizen Science with an Exploratory Mixed Methods Study'. The data includes quantitative data in SPSS file... Read More about Ambient Air Pollution near Petrochemical Industries and Chronic Kidney Disease Risk: Integrating Citizen Science within an Exploratory Mixed Methods Study (dataset).

The RESIST Project Dataset: Data from the Work Package 2 (Survey) (2024)
Data
RESIST Project Team. (2024). The RESIST Project Dataset: Data from the Work Package 2 (Survey). [Data]. https://doi.org/10.5281/ZENODO.11180966

This record for the Dataset 2 (Survey) from the Work Package 2 (Effects of, and Resistances to 'Anti-Gender' Mobilisations Across Europe) of the RESIST Project has been created in the Zenodo open repository, in line with the RESIST Project’s Data Man... Read More about The RESIST Project Dataset: Data from the Work Package 2 (Survey).

The RESIST Project Dataset: Data from the Work Package 2 (Interviews & Focus Groups) (2024)
Data
RESIST Project Team. (2024). The RESIST Project Dataset: Data from the Work Package 2 (Interviews & Focus Groups). [Data]. https://doi.org/10.5281/ZENODO.11180867

This record for the Dataset 1 (Interviews & Focus Groups) from the Work Package 2 (Effects of, and Resistances to 'Anti-Gender' Mobilisations Across Europe) of the RESIST Project has been created in the Zenodo open repository, in line with the RESIST... Read More about The RESIST Project Dataset: Data from the Work Package 2 (Interviews & Focus Groups).

Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset) (2024)
Data
Kiezebrink, K., Preston, S., Drumm, L., Lafferty, N., McIlwhan, R., & Cleland, E. (2024). Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset). [Data]

This research project aimed to delve into the attitudes and perceptions of diverse higher education stakeholders regarding the integration of Generative Artificial Intelligence (GenAI) in academic settings. As GenAI became increasingly prevalent in e... Read More about Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset).

Exploring safety at mass gathering events through the lens of three different stakeholders dataset (2023)
Data
Hutton, A., Robertson, M., & Ranse, J. Exploring safety at mass gathering events through the lens of three different stakeholders dataset. [Data]. https://doi.org/10.26183/aymn-ts60

The work here reviews the role of those with responsibility in managing people and their safety at Mass Gathering Events (MGE); event managers, police, and medical personnel. Focus groups were used to gain insight into MGE safety through the lens of... Read More about Exploring safety at mass gathering events through the lens of three different stakeholders dataset.

Translated transcription of a focus group with participative councillors, for information literacy research in Brazil (2023)
Data
Ryan, B., & Cruickshank, P. (2023). Translated transcription of a focus group with participative councillors, for information literacy research in Brazil. [Data]. https://doi.org/10.17869/enu.2023.3407211

This focus group took place on 24 January 2019, in São Paulo city hall. It was held in English and Portuguese with eight participative councillors, with in situ interpretation. The outcome of the research was a paper presenting an evaluation of the i... Read More about Translated transcription of a focus group with participative councillors, for information literacy research in Brazil.

'ChatGPT & Me' Student Padlet Data With Reactions (2023)
Data
Drumm, L., Illingworth, S., Graham, C., Calabrese, P., Taylor, S., Dencer-Brown, I., & van Knippenberg, I. (2023). 'ChatGPT & Me' Student Padlet Data With Reactions. [Data]. https://doi.org/10.17869/enu.2023.3200728

These data are from a project which aimed to collect and analyse student attitudes to artificial intelligence (AI) and their own learning and assessment while they are studying with Edinburgh Napier University. AI tools such as ChatGPT make it easier... Read More about 'ChatGPT & Me' Student Padlet Data With Reactions.

Rawls in the mangrove: perceptions of justice in nature-based solutions projects (Dataset) (2023)
Data
Huxham, M. (2023). Rawls in the mangrove: perceptions of justice in nature-based solutions projects (Dataset). [Data]. https://doi.org/10.17869/ENU.2023.3090209

1. Adapting to and mitigating against climate change requires the protection and expansion of natural carbon sinks, especially ecosystems with exceptional carbon density such as mangrove forests (an example of ‘blue carbon’). Projects that do this ar... Read More about Rawls in the mangrove: perceptions of justice in nature-based solutions projects (Dataset).

Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing (2023)
Data
Aslan, A., El-Raoui, H., Hanson, J., Vasantha, G., Quigley, J., Corney, J., & Sherlock, A. (2023). Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing. [Data]. https://doi.org/10.17869/enu.2023.3100035

This data contains the worker position datasets (including the event logs) and the source codes of the discrete event simulation that are used in the research article titled "Using Worker Position Data for Human-Driven Decision Support in Labour-inte... Read More about Using Worker Position Data for Human-Driven Decision Support in Labour-intensive Manufacturing.

Where to fish in the forest? Tree characteristics and contiguous seagrass features predict mangrove forest quality for fishes and crustaceans (Dataset) (2023)
Data
Wanjiru, C., Nagelkerken, I., Rueckert, S., Harcourt, W., & Huxham, M. (2023). Where to fish in the forest? Tree characteristics and contiguous seagrass features predict mangrove forest quality for fishes and crustaceans (Dataset). [Data]. https://doi.org/10.17869/enu.2023.3069847

1) Mangroves often support rich fish and crustacean communities, although faunal abundance and diversity show strong spatio-temporal variability. Consistent patterns in mangrove animal communities might be dictated by forest characteristics, by seasc... Read More about Where to fish in the forest? Tree characteristics and contiguous seagrass features predict mangrove forest quality for fishes and crustaceans (Dataset).

SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets (2023)
Data
Basabain, S. (2023). SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets. [Data]. https://doi.org/10.17869/enu.2023.3036363

SAtour is a new dataset of Arabic tweets in the tourism domain for Arabic SA. The total corpus size is 2293 tweets, after manual annotation these tweets were labeled as either positive, negative, or neutral. We present the detailed process of collect... Read More about SAtour: Sentiment analysis of Saudi Arabia Tourism Tweets.

Jisc OA Annual Report 2021-22 for Edinburgh Napier University (2022)
Data
Ramage, L., & Lawson, S. (2022). Jisc OA Annual Report 2021-22 for Edinburgh Napier University. [Data]. https://doi.org/10.17869/enu.2022.2896250

This dataset contains details of article processing charges (APCs) paid by Edinburgh Napier University to make publications open access during the academic year 2021-22. It has been completed using the Jisc APC template.

UMC-in-FP Dataset (2022)
Data
Chapman, P. UMC-in-FP Dataset. [Data]. https://doi.org/10.17869/enu.2023.3064076

This is the dataset which accompanies the paper "Experiences of Use-Modify-Create framework to teach functional programming"

DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland (2022)
Data
Downey, L., Fonzone, A., & Fountas, G. (2022). DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland. [Data]. https://doi.org/10.17869/enu.2022.2853752

In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research... Read More about DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland.