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All Outputs (122)

The absence of changes in the relative age effect present an opportunity for lower income soccer clubs to be more efficient than Europe’s elite. [Dataset] (2025)
Data
CRAIG, T.P., ENRIGHT, K., MAUGHAN, P., ABBOTT, W. and NAVARRO, J.F. 2025. The absence of changes in the relative age effect present an opportunity for lower income soccer clubs to be more efficient than Europe's elite. [Dataset]. PLoS One [online] 20(5), article number e0323971. Available from: https://doi.org/10.1371/journal.pone.0323971.s001

Youth soccer leagues chronologically match children based on their birth year with the aim of matching developmental milestones to ensure fair competition. An overrepresentation of athletes born earlier in the year compared with those born later in t... Read More about The absence of changes in the relative age effect present an opportunity for lower income soccer clubs to be more efficient than Europe’s elite. [Dataset].

Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways. [Dataset] (2025)
Data
SKOLNICK, J., SRINIVASAN, B., SKOLNICK, S., EDELMAN, B. and ZHOU, H. 2025. Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways. [Dataset]. Journal of chemical information and modeling [online], ASAP articles. Available from: https://pubs.acs.org/doi/10.1021/acs.jcim.5c00462?goto=supporting-info

The interior of a cell is a remarkably crowded environment awash with many different types of molecules. For example, the molar concentration of proteins in a HeLa cell is ∼1 mM, while the total cellular concentration of free metabolites is 200 mM–30... Read More about Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways. [Dataset].

Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video] (2025)
Data
ZHOU, L., SUN, Y., ZOU, G., HU, H., ZHANG, Y., SU, H., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2025. Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video]. Journal of materials science and technology [online], 237, pages 298-311. Available from: https://doi.org/10.1016/j.jmst.2025.01.082

Conventional manufacturing approaches, including casting, thermal deformation and annealing, have faced great challenges in achieving both exceptional strength and ductility for Mg alloys. Herein, we report an effective strategy for simultaneously en... Read More about Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video].

Knee flexion range of motion does not influence muscle hypertrophy of the quadriceps femoris during leg press training in resistance-trained individuals. [Dataset] (2025)
Data
LARSEN, S., WOLF, M., SCHOENFELD, B.J., SANDBERG, N.Ø., FREDRIKSEN, A.B., KRISTIANSEN, B.S., VAN DEN TILLAAR, R., SWINTON, P.A. and FALCH, H.N. 2025. Knee flexion range of motion does not influence muscle hypertrophy of the quadriceps femoris during leg press training in resistance-trained individuals. Journal of sports sciences [online], 43(10), pages 986-994. Available from: https://www.tandfonline.com/doi/full/10.1080/02640414.2025.2481534#supplemental-material-section

The aim of this study was to examine the effects of knee flexion ROM during the leg press exercise on quadriceps femoris muscle hypertrophy in resistance-trained participants. The univariate analyses provided 'moderate' evidence in support of the nul... Read More about Knee flexion range of motion does not influence muscle hypertrophy of the quadriceps femoris during leg press training in resistance-trained individuals. [Dataset].

Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset] (2025)
Data
IRUNGU, B., FAISAL, N., LEE, T.L., GOEL, S. and ISMAIL, M.A.E. 2025. Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2510004-2

This project investigates the behaviour of Chromel-Alumel K-type thermocouples under extreme temperature conditions, focusing on coatings produced through thermal spray processes. These thermocouples, widely used in industrial and aerospace applicati... Read More about Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset].

Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset] (2025)
Data
IRUNGU, B., FAISAL, N., LEE, T.L., GOEL, S. and ISMAIL, M.A.E. 2025. Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2510004-1

This project investigates the behaviour of Chromel-Alumel K-type thermocouples under extreme temperature conditions, focusing on coatings produced through thermal spray processes. These thermocouples, widely used in industrial and aerospace applicati... Read More about Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset].

Unsupervised similarity-aligned ensemble metrics for evaluating legal Q&A LLM responses. [Dataset] (2025)
Data
ABEYRATNE, R. 2025. Unsupervised similarity-aligned ensemble metrics for evaluating legal Q&A LLM responses(LINK ONLY). Hosted on GitHub [online]. Available from: https://github.com/RAbeyratne/aligned_ensemble_judge

This repository contains code and datasets related to the paper titled "Unsupervised Similarity-Aligned Ensemble Metrics for Evaluating Legal Q&A LLM Responses".

Exploring engineering students' perceptions of AI in education with the technology acceptance model (TAM). [Dataset] (2025)
Data
ABOLLE-OKOYEAGU, J., IBEKE, E., ONOJA, T., EZENKWU, P.C. and EZEONWUMELU, V. 2025. Exploring engineering students' perceptions of AI in education with the Technology Acceptance Model (TAM). [Dataset]. Hosted on Mendeley Data [online], version 1. Available from: https://doi.org/10.17632/b3jbzgnrwv.1

This research investigates perceptions of Artificial Intelligence (AI) in education through the framework of the Technology Acceptance Model (TAM).

Collaborative Online International Learning (COIL) for sustainable development. [Dataset] (2025)
Data
ABOLLE-OKOYEAGU, J. and ONOSHAKPOR, C. 2025. Collaborative online international learning (COIL) for sustainable development. [Dataset]. Hosted on Mendeley Data [online], version 1. Available from: https://doi.org/10.17632/4wt9b5nkm9.1

This questionnaire aims to gather insights and experiences from students participating in a COIL project. The focus is on understanding cross-cultural collaboration, knowledge of sustainable building materials, and the impact of the project on partic... Read More about Collaborative Online International Learning (COIL) for sustainable development. [Dataset].

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset] (2025)
Data
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. 2025. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset]. Gas science and engineering [online], 134, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

This study proposed a new sensor calibration methodology and the design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams. Furthermore, machine learning models were developed in this study to explore... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset].

Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [Dataset] (2025)
Data
HARES, M.F., GRIFFITHS, B.E., BARNINGHAM, L., VAMOS, E.E., GREGORY, R., DUNCAN, J.S., OIKONOMOU, G., STEWART, C.J. and COOMBES, J.L. 2025. Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [DATASET]. Animal microbiome [online], 7, article number 3. Available from: https://animalmicrobiome.biomedcentral.com/articles/10.1186/s42523-024-00352-1#Sec19

The aim of this study was to determine how the bacterial diversity and composition of the faecal microbiome in healthy and Cryptosporidium-positive calves changed between birth and weaning. The objective was to ascertain taxa which are associated wit... Read More about Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [Dataset].

Assessing the impact of artificial intelligence technology in education. [Dataset] (2024)
Data
ABOLLE-OKOYEAGU, C.J., EZENKWU, C.P., IBEKE, E. and ONOJA, O.P. 2024. Assessing the impact of artificial intelligence technology in education. [Dataset]. Hosted on Mendeley Data [online], version 1. Available from: https://doi.org/10.17632/zwjkbstpw4.1

This research seeks to understand how artificial intelligence (AI) technology impacts teaching and learning in education. Data was collected by survey of participants with engineering education experience.

Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis. [Dataset] (2024)
Data
RENWICK, J.R.M., PREOBRAZENSKI, N., WU., Z., KHANSARI, A., LEBOUEDEC, M.A., NUTTALL, J.M.G. BANCROFT, K.R., SIMPSON-STAIRS, N., SWINTON, P.A. and GURD, B.J. 2024. Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis. [Dataset]. Sports medicine [online], 54(2), pages 3069-3080. Available from: https://link.springer.com/article/10.1007/s40279-024-02089-y#Sec21

Interest in individual response variability is growing. Within exercise science, this interest was prompted by the seminal demonstration of large inter-individual variability in observed changes in maximal aerobic capacity (maximal oxygen consumption... Read More about Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis. [Dataset].

Residual stress mapping in high yttria thermally sprayed zirconium oxide coatings. [Dataset] (2024)
Data
GOEL, S., VENKATACHALAPATHY, V., LEE, T.K., FAISAL, N., VERMA, J., IRUNGU, B. and KALKHORAN, S.N.A. 2024. Residual stress in high yttria thermally sprayed zirconium oxide coatings. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2310001-1

There is a need for high thermal efficiency in aero and land-based turbine engines to push the envelope for low conductivity and high strength thermal barrier coatings. Prominent approach towards achieving this is through high yttria (yttrium oxide Y... Read More about Residual stress mapping in high yttria thermally sprayed zirconium oxide coatings. [Dataset].

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Data
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset].

What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset] (2024)
Data
CRUICKSHANK, M., BRAZZELLI, M., MANSON, P., TORRANCE, N. and GRANT, A. 2024. What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset]. PLoS one [online], 19(3), article number e0299743. Available from: https://doi.org/10.1371/journal.pone.0299743

Long COVID (LC) has rapidly emerged as a long-term debilitating illness described by the World Health Organisation (WHO) as "devastating". Health and social care workers have a higher prevalence of self-reported LC compared to other occupational grou... Read More about What is the impact of long-term COVID-19 on workers in healthcare settings? A rapid systematic review of current evidence. [Dataset].

Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset] (2024)
Data
SCHILLING, S., ARMAOU, M., MORRISON, Z., CARDING, P., BRICKNELL, M. and CONNELLY, V. 2024. Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset]. Frontiers in psychology [online], 15, article number 1293171. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1293171/full#supplementary-material

The complexity, patient volume, and severity of COVID-19, exacerbated by already existing staff shortages in the healthcare sector, required an unprecedented upscaling of capacity during the peak phases of COVID-19. Hospitals around the world relied... Read More about Trust people you’ve never worked with: a social network visualization of teamwork, cohesion, social support, and mental health in NHS Covid personnel. [Dataset].

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset] (2024)
Data
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset]. Journal of magnesium and alloys [online], 12(12), pages 4953-4965. Available from: http://tinyurl.com/bdh3kb39

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset].

Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset] (2024)
Data
HAMEED, Z., KHAN, Z., KHURRAM, S., INAYAT, A., AMIN, N., ASLAM, M. and WATSON, I. 2024. Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset]. Journal of the Energy Institute [online], 113, article 101542. Available from: https://www.sciencedirect.com/science/article/pii/S1743967124000205?via%3Dihub#appsec1

Rapid development in the current economic situation has led to an increase in carbon emissions and to find sustainable solution to deal with this problem. Co-gasification of biomass with municipal solid waste is gaining significant importance to util... Read More about Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. [Dataset].