PTPC-UHT bounce حسب David Parry (22169299)

"…</p><p dir="ltr">Included files:</p><ul><li>Python source code (<code>PTPC_UHT_bounce.py</code>)</li><li>Parameter sets for representative runs (α,β,Tcrit,V(T)\alpha, \beta, T_{\mathrm{crit}}, V(T)α,β,Tcrit​,V(T))</li><li>Output arrays of trajectories across multiple bounces</li><li>Multi-panel plots (PNG/PDF) for a(t)a(t)a(t), H(t)H(t)H(t), T(t)T(t)T(t), S(t)S(t)S(t), R(t)R(t)R(t), and ρT\rho_TρT​</li></ul><p dir="ltr">This dataset ensures full reproducibility of the PTPC simulations and provides a starting point for independent verification, parameter exploration, and future model extensions.…"

Replication package for Automated Extract Method Refactoring with Open-Source LLMs حسب Sivajeet Chand (21786839)

Multi-data source ML-based spatiotemporal groundwater dynamics in Brazil حسب Clyvihk Camacho (14566256)

Replication Package: "The SBOM Gap: Adoption and Compliance in Open Source Software" حسب anonymous author (14191683)

"…</p><p dir="ltr"> - SBOM_files/: Includes all valid SBOM files collected from open-source projects, in SPDX or CycloneDX formats.</p><p><br></p><p dir="ltr">code/: Contains source code for reproducing both research questions.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

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

"…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…"

Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" حسب Timothy Warner (20222838)

"…</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…"

R codes and curated dataset for “EnoLEX: A Diachronic Lexical Database for the Enggano Language” حسب Gede Primahadi Wijaya Rajeg (14592023)

"…</p><blockquote><b><i>EnoLEX</i></b><i> represents a network of independent research materials consisting of a </i><a href="https://doi.org/10.25446/oxford.28295648.v1" rel="noreferrer" target="_blank"><i>source dataset</i></a><i>, this repository of source R codes and the curated data, the </i><a href="https://enggano.shinyapps.io/enolex/" rel="noreferrer" target="_blank"><i>online database</i></a><i>, and a conference </i><a href="https://doi.org/10.25446/oxford.27013864.v1" rel="noreferrer" target="_blank"><i>paper</i></a><i>.…"

Scipy2025: Empowering Learners: Teaching Reproducible Research with Open-Source Tools حسب Deborah Khider (4673140)

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"

LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM حسب Yuxin Zhang (19985913)

"…The dataset section contains 301k entries from 1,807 high-quality projects sourced from GitHub, covering four programming languages: C, C++, Java, and Python. …"