Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”

SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”

Fig 3 - by Bill Zhao (11530264)

Table_2_Visuospatial, oculomotor, and executive reading skills evolve in elementary school, and errors are significant: a topological RAN study.pdf by Mario Lecce (18777553)

Table_1_Visuospatial, oculomotor, and executive reading skills evolve in elementary school, and errors are significant: a topological RAN study.pdf by Mario Lecce (18777553)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…”

S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”

Comparison against the commercial scanner. by Swathi Lakshmi Balasubramanian (12078093)

my-home-is-my-secret.zip by Anna Brauer (11266881)

“…</p> <p><br></p> <p>The material contains two folders; each contains an implementation of the algorithm, one in Java and one in Python.<br> </p> <p><br></p> <p>The Python script includes a function (example()) demonstrating how the mechanism class ('STT') may be used. …”

Table 4_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

Table 5_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

Table 2_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.docx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

Table 6_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

Table 1_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.docx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

Table 3_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx by Suling Zhuang (21775925)

“…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …”

NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

“…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …”

PREDICTION OF DEM PARAMETERS OF COATED FERTILIZER PARTICLES BASED ON GA-BP NEURAL NETWORK by Xin Du (208780)

“…The predicted values matched the expected output values, indicating that the GA-BP neural network can accurately predict the nonlinear function output, and the network predicted output can be approximated as the actual output of the function. …”