System for evaluation of gait parameters. by Monica Christova (8409480)

“…Each sensor measured three-dimensional linear and rotational acceleration. Using a post-processing algorithm, acceleration data were used to calculate spatiotemporal gait parameters.…”

<b>A virtual tracer experiment to assess the temporal origin of root water uptake, evaporation, and </b><b>drainage</b> by Paolo Nasta (19710883)

“…</p><p dir="ltr"><a href="" target="_blank">Two open-source Matlab scripts are available in the zip-files. The PT.m Matlab code determines the drainage transit time based on the particle tracking algorithm, while the VTE.m Matlab code determines the drainage and RWU transit times and relative rainfall contributions to actual evaporation, actual transpiration, and drainage using isotope transport simulations in HYDRUS-1D</a>. …”

iNCog-EEG (ideal vs. Noisy Cognitive EEG for Workload Assessment) Dataset by Fariya Bintay Shafi (21692408)

“…Inside each folder, four <b>.EDF</b> files represent the workload conditions:</p><pre><pre>subxx_nw.EDF → No Workload (resting state) <br>subxx_lw.EDF → Low Workload (easy multitasking) <br>subxx_mw.EDF → Moderate Workload (medium multitasking) <br>subxx_hw.EDF → High Workload (hard multitasking) <br></pre></pre><ul><li><b>Subjects 01–30:</b> Clean EEG recordings</li><li><b>Subjects 31–40:</b> Noisy EEG recordings with real-world artifacts</li></ul><p dir="ltr">This structure ensures straightforward differentiation between clean vs. noisy data and across workload levels.</p><h3>Applications</h3><p dir="ltr">This dataset can be applied to a wide range of research areas, including:</p><ul><li>EEG signal denoising and artifact rejection</li><li>Binary and hierarchical <b>cognitive workload classification</b></li><li>Development of <b>robust Brain–Computer Interfaces (BCIs)</b></li><li>Benchmarking algorithms under <b>ideal and noisy conditions</b></li><li>Multitasking and mental workload assessment in <b>real-world scenarios</b></li></ul><p dir="ltr">By combining controlled multitasking protocols with deliberately introduced environmental noise, <b>iNCog-EEG provides a comprehensive benchmark</b> for advancing EEG-based workload recognition systems in both clean and challenging conditions.…”

gridded_livestock_mongolian_plateau_2000_2020 by Yaping Liu (20964836)

“…</p><p dir="ltr">The repository has four folders containing sample code and data for total livestock, sheep & goats, large livestock, and 2020 total livestock density spatial distribution simulations. …”

The dataset of main grain land changes in China over 1985–2020 by Shidong Liu (11590769)

“…</p> <p>Data viewing and download links:</p> <p>https://code.earthengine.google.com/d371ab6f6c1bd274c85af270e4ad09c5 </p> <p><br></p> <p>Directly call ID of dataset in GEE:</p> <p>var MGL = ee.ImageCollection(“projects/ee-linshi-428901/assets/MrainlandType”)</p> <p><br></p> <p>Data usage code：</p> <p>var year = 2020 // Any year between 1985 and 2020</p> <p>var mglyear = MGL.filterMetadata('time', "equals", year).max()</p> <p>var visParams = {</p> <p>  min: 1,</p> <p>  max: 7,</p> <p>  palette: ['cyan', 'blue','green', 'yellow', 'red','purple','white']</p> <p>};</p> <p>Map.addLayer(mglyear.selfMask(),visParams,"MGL"+year)</p> <p><br></p>…”

Table 1_Near-infrared prediction of total phosphorus in leaves content in korla fragrant pear with growth period specificity via spectral modeling.docx by Mingyang Yu (7456358)

“…In the Spectral pre-processing stage, multiple scattering correction, Savitzky-Golay Smooth, First Derivative (FD), Second Derivative (SD) and their combined algorithms were comprehensively applied. …”

Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients by Chongwen Zuo (21546541)

“…Chronic knee pain alters cortical plasticity, yet our data demonstrate preserved MI capability in patients—a finding with direct implications for rehabilitation BCI development. …”

Raw Data for "Development of Decision Support Systems Based on Fuzzy and Binary Logic for the FOREX Foreign Exchange Market" by Serhii Hetsko (22413559)

“…This would also allow a reasonable approach to the choice of a specific method.</p><p dir="ltr"><b>Research objective.</b>The aim of this work is to develop multi-timeframe hybrid DSS for algorithmic trading based on fuzzy and classical binary logic with probabilistic elements. …”

Stanford University: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: Economics (50.23%), Commerce, Management, Tourism and Services (51.57%), Creative Arts and Writing (56.37%), Language, Communication and Culture (56.59%), Philosophy and Religious Studies (60.57%), and History, Heritage and Archaeology (73.53%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

Stellenbosch University: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: Physical Sciences (59.03%), Law and Legal Studies (68.66%), Mathematical Sciences (70.97%), Creative Arts and Writing (71.92%), Philosophy and Religious Studies (73.4%), History, Heritage and Archaeology (74.21%), and Language, Communication and Culture (77.64%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

Indian Institute of Science Bangalore: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: Law and Legal Studies (58.06%), Mathematical Sciences (59.19%), and Philosophy and Religious Studies (67.86%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

Georgia Institute of Technology: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: Language, Communication and Culture (51.05%), Economics (51.16%), Philosophy and Religious Studies (54.95%), and History, Heritage and Archaeology (67.09%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

State University of Campinas: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: History, Heritage and Archaeology (59.36%), Language, Communication and Culture (68.41%), Creative Arts and Writing (72.85%), and Philosophy and Religious Studies (77.65%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

University College London: What does a university look like? by Simon Porter (1364613)

“…Fields of Research with greater than 50% of their output not represented in the network include: Law and Legal Studies (58.72%), History, Heritage and Archaeology (60.62%), Creative Arts and Writing (61.53%), Language, Communication and Culture (62.31%), and Philosophy and Religious Studies (70.32%)</p> <p><strong>Methodology:</strong></p> <p>Graph layout: Batchlayout [1]</p> <p>Clustering: Leiden Algorithm [2]</p> <p>3d Layout: Blender [3]</p> <p>Data: Dimensions [4]</p>…”

Video 1_Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodology.mp... by Konstantinos S. Boulas (21709982)

“…</p>Results<p>A general algorithm that commences with the Markov chain transition matrix as an input element and forms the state transition diagram. …”

Supplementary file 1_Assessment of OLCI absorption coefficients for non-water components across all optical water classes.docx by Astrid Bracher (3687904)

“…Furthermore, our study corroborates the skill of the EUMETSAT algorithm to obtain valid information in most of the blue and green spectra, making it of high potential for introduction into the processing of ocean-colour radiometry data from new hyperspectral satellite missions.…”

Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning by Baptista Boanha (22424668)

“…<p dir="ltr">This dataset and code package presents a modular framework for supervised classification of burned and unburned land surfaces using satellite-derived spectral reflectance. …”

<b>Force-Position-Speed Planning and Roughness rediction for Robotic Polishing</b> by Ma Haohao (19780875)

“…The improved dung beetle optimization algorithm, back propagation neural network, finite element analysis and response surface method provide a strong guarantee for the selection of robotic polishing process parameters. …”

Non-Conjugate Variational Bayes for Pseudo-Likelihood Mixed Effect Models by Cristian Castiglione (21656583)

“…<p>We propose a unified, yet simple to code, non-conjugate variational Bayes algorithm for posterior approximation of generic Bayesian generalized mixed effect models. …”

Data Sheet 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx by Xianhui Peng (14551488)

“…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …”