Dataset of experimental and computational characterization of tissue spheroid fusion by Steven Ongenae (19646189)

“…Various csv and xlsx files are attached, which can be readily imported using pandas in Python, relating to: - processed experimental fusion data (100 cells, 500 cells, and new JASP experiments) - measures of granularity / contact angles using GSI - MSRD data from two-photon microscopy experiments - Combined data of all parameter studies and their extracted metrics from the computational model. …”

Fertilising agents that reduced the pyrolytic onset temperature of biomass, producing a fertilizing biochar by Brendon Trollip (20617892)

“…<p dir="ltr">The dataset is organized into two main folders, corresponding to the analyses presented in Chapters 2 and 3 of the dissertation titled "Fertiliser-catalysed biochar production: an analytical and techno-economic feasibility study." …”

Genomic Epidemiology of SARS-CoV-2 in Peru from 2020 to 2024 by Pablo Tsukayama (22614461)

“…</p><p dir="ltr"><b>Contents:</b></p><p><b>1. Analysis Code</b></p><p>Core Python scripts used to curate metadata, process genomic data, perform lineage assignments, compute summary statistics, and prepare inputs for downstream phylogenetic and phylogeographic analyses. …”

Tracking when the number of individuals in the video frame changes. by Hirotsugu Azechi (20700528)

“…The removal of unnecessary keypoint data is achieved through a Python code that allows specified ranges of tracking data obtained from DeepLabCut to be rewritten as NaN (no data) (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003002#pbio.3003002.s019" target="_blank">S1 Protocol</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003002#pbio.3003002.s010" target="_blank">S10C Fig</a>). …”

May 2024 Superstorm by Eva Weiler (18070675)

“…</i> The dataset includes the following resources:<br></p><p><br></p><p><br></p><ul><li><b>Spacecraft Data</b>:</li><li><ul><li>ACE (real-time and science)</li><li>STEREO-A (beacon)<br><br></li></ul></li><li><b>OMNI Dataset</b>:</li><li><ul><li>Hourly resolution data (observed Dst)</li><li>Minute resolution data (observed SYM-H)<br><br></li></ul></li><li><b>Position Files</b>:</li><li><ul><li>Detailed position files for various spacecraft and planets<br><br></li></ul></li><li><b>Solar Observations</b>:</li><li><ul><li>FITS files for studying active regions 13664 and 13667</li><li>Movie showing the five solar eruptions in the AIA 171 filter<br><br></li></ul></li><li><b>Remote Sensing Observations</b>:</li><li><ul><li>LASCO/C2 & C3</li><li>STEREO-A/HI1<br><br></li></ul></li><li><b>Outputs from the</b><b> </b><b>ELliptical Evolution (ELEvo) model</b><b>:</b></li><li><ul><li>Movie visualizing the propagation of CMEs through the heliosphere</li><li>Text-files containing the arrival times and speeds of the CMEs at STEREO-A and L1</li></ul></li></ul><h3>Python Scripts</h3><p dir="ltr">The Python scripts used to generate the results in this study, along with detailed instructions for their usage, are available at this GitHub repository: <a href="https://github.com/EvaWeiler/may_2024_superstorm/" rel="noopener" target="_new">https://github.com/EvaWeiler/may_2024_superstorm/</a>.…”

MCCN Case Study 3 - Select optimal survey locality by Donald Hobern (21435904)

“…</p><p dir="ltr">This is a simple implementation that uses four environmental attributes imported for all Australia (or a subset like NSW) at a moderate grid scale:</p><ol><li>Digital soil maps for key soil properties over New South Wales, version 2.0 - SEED - see <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html" target="_blank">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html</a></li><li>ANUCLIM Annual Mean Rainfall raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer</a></li><li>ANUCLIM Annual Mean Temperature raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer</a></li></ol><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Generate STAC metadata for layers from predefined configuratiion</li><li>Load data cube and exclude nodata values</li><li>Scale all variables to a 0.0-1.0 range</li><li>Select four layers for comparison (soil organic carbon 0-30 cm, soil pH 0-30 cm, mean annual rainfall, mean annual temperature)</li><li>Select 10 random points within NSW</li><li>Generate 10 new layers representing standardised environmental distance between one of the selected points and all other points in NSW</li><li>For every point in NSW, find the lowest environmental distance to any of the selected points</li><li>Select the point in NSW that has the highest value for the lowest environmental distance to any selected point - this is the most different point</li><li>Clean up and save results to RO-Crate</li></ol><p><br></p>…”

Satellite monitoring of Greenland wintertime buried lake drainage by Jianing Wei (22400896)

“…Buried_lake_drainage_code</p><p dir="ltr">This folder contains two Python Jupyter Notebooks for detecting wintertime buried lake drainages (BLDs). …”

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

“…</p><p dir="ltr">The Python programming source code used to run the calculation of ET0 and AI is provided and available online on Figshare at:</p><p dir="ltr">https://figshare.com/articles/software/Global_Aridity_Index_and_Potential_Evapotranspiration_Climate_Database_v3_-_Algorithm_Code_Python_/20005589</p><p dir="ltr">Peer-Review Reference and Proper Citation:</p><p dir="ltr">Zomer, R.J.; Xu, J.; Trabuco, A. 2022. …”

CpG Signature Profiling and Heatmap Visualization of SARS-CoV Genomes: Tracing the Genomic Divergence From SARS-CoV (2003) to SARS-CoV-2 (2019) by Tahir Bhatti (20961974)

“…</p><p dir="ltr">Heatmap Images :</p><p dir="ltr">Heatmaps for CpG counts and O/E ratios comparing Wuhan-Hu-1 with its closest and most distant relatives.</p><p dir="ltr">Python Script :</p><p dir="ltr">Full Python code used for data processing, distance calculation, and heatmap generation.…”

Leveraging Large Language Models as Requirements Elicitation Interview Bots-all data by Samuel Gorsch (19947618)

“…</p><p dir="ltr"><b>Contents:</b></p><ul><li><b>Python Scripts:</b> Scripts used for data preprocessing, analysis, and generation of plots. …”

Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" by Timothy Warner (20222838)

“…</li><li>All the PFO kinetic contant results and the statistics associated with different methods of calculating PFO kinectic constants</li></ul><h3>catalytic_membrane_meta-analysis-0.1.3.zip</h3><h4>case_studies:</h4><ul><li>Directory containing the data, figures and code to generate the figures for the four case studies presented in the article.…”

Supplementary Material for review (<b>Revealing the co-occurrence patterns of public emotions from social media data</b>) by Yang Hua (21399140)

“…</li><li>Environment Check: Ensure the Python environment is correctly configured to avoid dependency issues.…”

JASPEX model by Olugbenga OLUWAGBEMI (21403187)

“…</p><p dir="ltr">We wrote new sets of python codes and developed python programming codes to rework on the map to generate the coloured map of Southwest Nigeria from the map of Nigeria (which represented the region of our study). …”

Supplementary Material for: The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology by figshare admin karger (2628495)

“…We employed Python software to extract shape features, and receiver operating characteristic curve analysis to assess the predictive performance of hematoma morphology for HG. …”

Thermally Activated Resonant Tunnelling in GaAs/AlGaAs Triple Barrier Heterostructures by Craig Allford (19079081)

“…Measurements were automated using bespoke written python code.<br><br>Results are published in the article at http://iopscience.iop.org/0268-1242/30/10/105035 <br>…”

<b>Dataset for manuscript: </b><b>Phylogenetic and genomic insights into the evolution of terpenoid biosynthesis genes in diverse plant lineages</b> by Puguang Zhao (19023065)

“…</p><p dir="ltr"> 'boxplot.py': This script is executed in Visual Studio Code, using Python 3.10.4 as the runtime environment.…”

(A) Sampling locations and ranges of <i>I. feisthamelii</i> (purple) and <i>I. podalirius</i> (teal) butterflies. by Sam Ebdon (21072525)

“…(B) Sampling locations of butterflies from the <i>Iphiclides</i> HZ. The dashed line represents the approximate HZ center, based on samples collected by Lafranchis et al. …”

Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 by Jordan Waters (21620558)

“…<p dir="ltr"><b>The work presented here is a unique application and requires an understanding of the primary framework used, otherwise the application will not be understood clearly:</b><br><br><b>The full framework is presented in the main </b><a href="https://figshare.com/articles/thesis/The_Gravity_of_Probability_i_Replicating_Dark_Matter_Effects_Through_Quantum_Decoherence_Curvature_i_/29815934" rel="noreferrer" target="_blank"><b>thesis</b></a><b> (DOI: 10.6084/m9.figshare.29815934).…”

Oka et al., Supplementary Data for "Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries" by Kanato Oka (20132185)

“…(<b>DOI:</b> 10.1038/s41598-024-80371-9 )<br><br>A zip file contains following data and codes.</p><p dir="ltr"><br></p><p dir="ltr">01_lstm_model_making.py</p><p dir="ltr">This file is a Python script for reading battery charge-discharge data and training an LSTM model. …”

DTU PV plant - Drone Infrared Thermography Dataset: Influence of Irradiance and Altitude by Rodrigo Del Prado Santamaria (11464057)

“…Four altitudes and irradiacnes were collected for each of the modules under study. Furthermore, the dataset contains IV curves and EL images of each module as a reference. …”