Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”

<b>Tracking incidence classification changes across disturbances at Konza Prairie LTER</b> by Biana Qiu (22063271)

“…Plants had the most populations classified as directed change (increasing=241/253, decreasing=95/101). The grazing press disturbance hypothesis was partially supported for plant taxa, which significantly differed by watershed treatments (Chi-square, p=3.182e-11). …”

Supporting data for PhD thesis "Turbulence in Thermally-Stratified Boundary Layers over Idealized Urban Morphology" by Kangcheng Zhou (9391820)

“…Large-scale accelerating flows in the UCL enhance small-scale turbulence, showing a monotonic decrease in AM with increasing instability. …”

Signal denoising in modular spiking networks by Barna Zajzon (8083532)

“…From providing a structural scaffold for spatial information segregation to the organization of spatiotemporal feature maps, these ubiquitous anatomical features are known to have significant, albeit not entirely understood, functional consequences.…”

Data Sheet 1_Analyzing patterns of change in the orchid flora of Britain and Ireland with correlated environmental variability.pdf by Martha Charitonidou (798109)

“…There have also been redistributions of diversity on small and large spatial scales, emphasizing a major role for processes operating across a range of scales in spatial as well as temporal variability.…”

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

“…The findings show that small-scale datasets or higher false detection rates lead to decreased accuracy. …”

SEAwise report on the impact of socioeconomic effects of fisheries management adapted according to input from review workshops by Isabella Bitetto (20145735)

“…While large-scale fleet's (LSF) effort and landings increase modestly in the short term, small-scale fleet's (SSF) outcomes declines over time, with lower landings, higher CO₂ emissions per kg of fish, and reduced gross value added (GVA). …”