MCCN Case Study 3 - Select optimal survey locality حسب 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>…"

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx حسب Piyachat Udomwong (22563212)

"…Its efficiency and scalability make it well-suited for early-stage antibody discovery, repertoire profiling, and therapeutic design, particularly in the absence of structural data. The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…"

Comparison data 7 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Sample data for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

MATH_code : False Data Injection Attack Detection in Smart Grids based on Reservoir Computing حسب Carl-Hendrik Peters (21530624)

"…</li><li><b>literature_data/</b><br>CSV and text exports of the literature search results from scientific databases, used as the basis for the systematic mapping study.…"

Sample data for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 3 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Sample data for <i>Telmatochromis temporalis</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 4 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 1 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Data&Codes.zip حسب Zer0 Star (20545655)

"…</p><p dir="ltr">To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. …"

Comparison data 2 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Online Resource: Reservoir Computing as a Promising Approach for False Data Injection Attack Detection in Smart Grids حسب Carl-Hendrik Peters (21530624)

"…</li><li><b>literature_data/</b><br>CSV and text exports of the literature search results from scientific databases, used as the basis for the systematic mapping study.…"

Comparison data 5 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 6 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Globus Compute: Federated FaaS for Integrated Research Solutions حسب eRNZ Admin (6438486)

"…</p><p dir="ltr">Globus Compute [2] is a Function-as-a-Service platform designed to provide a scalable, secure, and simple interface to HPC resources. Globus Compute implements a federated model via which users may deploy endpoints on arbitrary remote computers, from the edge to high performance computing (HPC) cluster, and they may then invoke Python functions on those endpoints via a reliable cloud-hosted service. …"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…<br></li></ul></li><li><b>Imputation_Air_Pollutants_NABEL.py</b> (Python Script)</li><li><ul><li>The Python code used to perform all data cleaning, imputation, plausibility checks, and calculations, generating the Imputed_AP_Data_Zurich_2010-25 sheet and associated stats/legend info from the raw data. …"

PYSEQM 2.0: Accelerated Semiempirical Excited-State Calculations on Graphical Processing Units حسب Vishikh Athavale (12623809)

"…PYSEQM is a Python-based package designed for efficient and scalable quantum chemical simulations. …"

Data Sheet 1_COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices.pdf حسب Rafael Pereira Lemos (9104911)

"…COCαDA demonstrated superior performance compared to the other methods, achieving on average 6x faster computation times than advanced data structures like k-d trees from NS, in addition to being simpler to implement and fully customizable. …"

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples حسب Derek Lam (11944213)

"…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"