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All Outputs (54)

Drawing Algorithms For Linear Diagrams (Supplementary) (2020)
Data
Chapman, P., & Sim, K. (2021). Drawing Algorithms For Linear Diagrams (Supplementary). [Dataset]. 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.

Journal subscription expenditure in the UK 2010-2019 (2020)
Data
Lawson, S. (2020). Journal subscription expenditure in the UK 2010-2019. [Dataset]. https://doi.org/10.5281/zenodo.3657775

This dataset contains payments made by UK higher education institutions for access to academic journals from ten publishers from 2010-2019. The data was obtained by sending Freedom of Information (FOI) requests to institutions through the website Wha... Read More about Journal subscription expenditure in the UK 2010-2019.

Journal subscription expenditure in the UK 2017-2019 (2020)
Data
Lawson, S. (2020). Journal subscription expenditure in the UK 2017-2019. [Dataset]. https://doi.org/10.5281/zenodo.3659970

This dataset contains payments made by UK higher education institutions for access to academic journals from ten publishers from 2017-2019. The data was obtained by sending Freedom of Information requests to institutions through the website https://w... Read More about Journal subscription expenditure in the UK 2017-2019.

Measuring perceived clutter in concept diagrams dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Measuring perceived clutter in concept diagrams dataset. [Dataset]. 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.

Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region (2019)
Data
Olawumi, T., & Chan, D. W. (2019). Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region. [Dataset]. https://doi.org/10.17632/jvjm5h8md3.1

This repository contains the full documentation for the BSAM scheme (green rating system) for countries in the sub-Saharan region of Africa. The BSAM scheme forms part of a research project funded by the Sustainable City Lab and the Department of... Read More about Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region.

Rich Data for Wind Turbine Power Performance Analysis (2019)
Data
Davison, B. (2019). Rich Data for Wind Turbine Power Performance Analysis. [Dataset]. 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.

Data from: Routes to achieving sustainable intensification in simulated dairy farms - the importance of production efficiency and complimentary land uses (2019)
Data
White, P., Lee, M., Roberts, D., & Cole, L. (2019). Data from: Routes to achieving sustainable intensification in simulated dairy farms - the importance of production efficiency and complimentary land uses. [Data]. https://doi.org/10.17869/enu.2019.1497843

Data underpinning: White, P. J. C., Lee, M. A., Roberts, D. J., & Cole, L. J. (2019). Routes to achieving sustainable intensification in simulated dairy farms: The importance of production efficiency and complimentary land uses. Journal of Applied Ec... Read More about Data from: Routes to achieving sustainable intensification in simulated dairy farms - the importance of production efficiency and complimentary land uses.

Data from: The thin(ning) green line? Investigating changes in Kenya’s seagrass coverage (2018)
Data
Harcourt, W. D., Briers, R. A., & Huxham, M. (2018). Data from: The thin(ning) green line? Investigating changes in Kenya’s seagrass coverage. [Dataset]. https://doi.org/10.5061/dryad.n08qs2s

Knowledge of seagrass distribution is limited to a few well-studied sites and poor where resources are scant (e.g. Africa), hence global estimates of seagrass carbon storage are inaccurate. Here, we analysed freely available Sentinel-2 and Landsat im... Read More about Data from: The thin(ning) green line? Investigating changes in Kenya’s seagrass coverage.

RCUK open access block grant allocation 2013-18 (v2) (2018)
Data
Lawson, S. (2018). RCUK open access block grant allocation 2013-18 (v2). [Dataset]. https://doi.org/10.6084/m9.figshare.4047315.v2

Compilation of RCUK open access block grant allocations for five years, 2013/14 to 2017/18.* These funds were distributed to UK research institutions in order to pay article processing charges (APCs) to make RCUK-funded research outputs open access.... Read More about RCUK open access block grant allocation 2013-18 (v2).

Data from: "Land-sharing via land-sparing: enhancing productivity and biodiversity on model dairy farms as a route to sustainable intensification" (2018)
Data
White, P., Lee, M., Roberts, D., & Cole, L. (2018). Data from: "Land-sharing via land-sparing: enhancing productivity and biodiversity on model dairy farms as a route to sustainable intensification". [Data]. https://doi.org/10.17869/ENU.2018.1141073

The dataset with identifier https://doi.org/10.17869/ENU.2018.1141073 was substituted by another version with the following citation: White, P., Lee, M., Roberts, D., & Cole, L. (2019). Data from: Routes to achieving sustainable intensification in si... Read More about Data from: "Land-sharing via land-sparing: enhancing productivity and biodiversity on model dairy farms as a route to sustainable intensification".

Data from: Sustainable intensification of a dairy farming system (2018)
Data
White, P., Lee, M., Roberts, D., & Cole, L. (2018). Data from: Sustainable intensification of a dairy farming system. [Data]. https://doi.org/10.17869/ENU.2018.1122039

The dataset with identifier https://doi.org/10.17869/ENU.2018.1122039 was substituted by another version with the following citation: White, P., Lee, M., Roberts, D., & Cole, L. (2019). Data from: Routes to achieving sustainable intensification in si... Read More about Data from: Sustainable intensification of a dairy farming system.

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. [Dataset]. 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.

Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map (2017)
Data
Olawumi, T. O., & Chan, D. W. (2017). Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map. [Dataset]. https://doi.org/10.17632/sv23pvr252.1

The animated map is handy for academics and practitioners, as a more dynamic alternative to scientific databases such as Scopus or ISI Web of Science in the quest to ease the identification of sustainability research publications within a city or reg... Read More about Geospatial Map of the Global Research on Sustainability and Sustainable Development: Generating and converting KML files to Map.