Data repository for "Interacting topological quantum chemistry of Mott atomic limits" (Phys. Rev. B <b>107</b>, 245145, 2023) حسب Martina Ondina Soldini (15445766)

"…</p><p dir="ltr">The python script "ED_g2.py" contains an example of the source code used to compute the two-particle Green's functions.…"

Murakami et al. Supplemental Data for "Microstructural Analysis of Li-Ion Conductors with Deep Learning and SEM Images" حسب Kento Murakami (21260244)

"…</p><h2><b>SEM_images.zip</b>: </h2><p dir="ltr">These files consists of SEM images and numerical datasets (descriptors and objective variables) of composition, sintering temperature, and ionic conductivities for 52 samples (1-3 SEM images are included per 1 sample, total 130 images)</p><h2><b>python_codes.zip</b>: </h2><p dir="ltr">Python codes for four convolutional neural network (CNN) models used to investigate the relationship between these image data and ionic conductivity are provided.…"

Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" حسب Hao Chen (9696848)

"…The second folder mirrors the structure of the first, encompassing Scopus data and Python source code used to generate the visualizations featured in Chapter 2. …"

Pharos Data حسب Thomas Scherr (19953555)

"…Run the analysis<br><code>python</code><code> </code><code>_main.py</code><br><br>4. …"

ImproBR Replication Package حسب Anonymus (18533633)

"…**Setup Virtual Environment**<br> Create virtual environment:<br> ```bash<br> python -m venv improbr_env<br> ```<br> <br> Activate virtual environment:<br> ```bash<br> source improbr_env/bin/activate # Linux/Mac<br> # improbr_env\Scripts\activate # Windows<br> ```<br><br>3. …"

Supplementary files for "A Guided Assistant for Building Machine Learning Models in Analytical Workflows" حسب An Le (20473628)

"…<table><tr><td><p><br></p></td></tr></table><p dir="ltr">app.py: Source code for the chatbot using the original system prompt (as demonstrated in the two case studies)</p><p dir="ltr">app_revised.py: Source code for the chatbot using the revised system prompt (incorporating enhancements from peer review)</p><p dir="ltr">test case 1.txt: Full conversation history for Test Case I (LFIA classification)</p><p dir="ltr">test case 2.txt: Full conversation history for Test Case II (LC-MS retention time regression)</p><p dir="ltr">revised_chat_history.txt: Test conversation illustrating new behaviors introduced by the revised system prompt</p><p dir="ltr">test case 1.py: Python script generated during Test Case I session for LFIA classification</p><p dir="ltr">test case 2.py: Python script generated during Test Case II session for retention-time regression</p><p dir="ltr"><br></p>…"

Mexico Airports Traffic Statistics (2006–2025) حسب Montserrat Mora (20430644)

"…</li><li><b>Requirements File</b>: A <code>requirements.txt</code> file listing the Python dependencies needed to run the script.…"

MLP_mod_application_v2.zip حسب Jian Li (20881226)

"…<p dir="ltr">The python source code for predicting the spatial location of macrophages using single cell dataset. …"

Calculation of slip behaviour and transient permeability evolution of a fracture حسب Supeng Zhang (15452711)

"…</p><h2>Required packages:</h2><ul><li>python==3.12.2</li><li>numpy==1.26.3</li><li>pandas==2.1.4</li><li>scikit-opt==0.6.6</li><li>matplotlib==3.8.0</li></ul><h2>Usage:</h2><ul><li>The file named "example.ipynb" is a jupyter-notebook file, which includes the source code of the inversion of consitutive parameters of both the rate-and-state friction law and the displacement- and velocity-dependent aperture model, as well as the source code of the calculation of slip behavior and permeability evolution based on these two models. …"

Supporting data for “Deep learning methods and applications to digital health” حسب Shichao Ma (9399224)

"…</p><p dir="ltr">Several packges are mendatory to run the source code, including:</p><p dir="ltr">Python > 3.6 (3.11 preferred), TensorFlow > 2.16, Keras > 3.3, NumPy > 1.26, Pandas > 2.2, SciPy > 1.13</p><p><br></p>…"

SRL OF TIM حسب Jefferson Rodrigo Speck (21510347)

"…</li><li><code><strong>plot_scripts/</strong></code>: Includes data files and Python scripts used to generate the visualizations presented in the review (e.g., bar charts, pie charts, distribution graphs).…"

Wolframin Degradome Foundation Atlas حسب Axel Petzold (7076261)

"…To extract, use the following command in a bash terminal:</p><pre><pre>tar -xvJf Wolframin_Degradome_Foundation_Atlas_v3.tar.gz<br></pre></pre><p dir="ltr"><b>Codes</b><br>Dataset generation is fully reproducible using three open-source tools: <b>Python, BLAST, and SAS</b>. …"

Not All local LLMs Are Equal: A Benchmark of Energy and Performance حسب Simão Cunha (19712455)

"…<br><br>To execute the program, run the following command, changing the parameters as needed:<br><br>```bash<br>#!/bin/bash<br><br>source ../env/bin/activate<br><br>export PYTHONPATH=$PYTHONPATH:$(pwd)<br>export WEGGLI_PATH=weggli<br>export PATH="$HOME/.cargo/bin:$PATH"<br><br>python3 main.py \<br> --llm_path llms/models/codellama-7b-instruct.Q5_K_M.gguf \<br> --benchmarks humaneval_x/\<br> --max_tokens 512 \<br> --n_ctx 4098 \<br> --seed 42 \<br> --top_p 0.95 \<br> --temperature 0.6 \<br> --n_times 1 \<br> --sleep_time 1.0 \<br> --save_output yes \<br> --n_shot_prompting 0 \<br> --pass_k 1 \<br> --samples_interval all<br><br>deactivate<br>```<br><br><b>Note:</b> You may need to create the <code>__init__.py</code> files manually, as Figshare does not allow uploading files with zero bytes.…"

<b>Processed Temperature Data for China (1990–2022): NOAA-Derived Daily Records with Spatial Attributes​</b> حسب Javeed Iqbal (21523832)

"…</li><li>Integration with GIS platforms (e.g., QGIS, ArcGIS) or Python-based workflows.</li></ul><h4>​<b>​Technical Details​</b>​</h4><ul><li>​<b>​Software​</b>​: Processed using Python 3.x with <code>pandas</code>, <code>geopandas</code>, and <code>pyarrow</code>.…"

Age Distribution of Parents of Registered Births in Mexico (1985-2024) حسب Montserrat Mora (20430644)

"…</p><h3>Dataset Details</h3><p dir="ltr">The dataset includes detailed annual records with the following columns:</p><ul><li><code>REGISTRATION_YEAR</code> – Year when the birth was registered</li><li><code>BIRTH_YEAR</code> – Year of birth</li><li><code>REGISTRATION_STATE</code> – Numeric ID of the state where the birth was registered</li><li><code>RESIDENCE_STATE</code> – Numeric ID of the mother’s state of residence</li><li><code>MOTHER_AGE</code> – Age of the mother at the time of birth</li><li><code>FATHER_AGE</code> – Age of the father at the time of birth</li><li><code>COUNT</code> – Number of records for each combination of the above variables</li></ul><h3>Included Files</h3><ul><li>Dataset: Complete archive of births (1985–2024) with the fields listed above, sourced from INEGI microdata.…"

MEG Dataset and Analysis Scripts for “The Effects of Task Similarity During Representation Learning in Brains and Neural Networks” حسب Nicholas Menghi (22426174)

"…</p><h3><b>Contents</b></h3><ul><li><b>MEG data</b> (results of the correlation between empirical and model matrices at different dimensionalities and domains)</li><li><b>Behavioral data</b> (behavioural accuracy performance: "Spatual Source Data")</li><li><b>Analysis script</b></li><li><b>Python package </b>developed to help with retrieving and computing simple operations</li></ul><h3><b>Data format</b></h3><p dir="ltr">Data are organized according to a structured folder layout (see <code>README.md</code> in the repository) and include:</p><ul><li><code>npy</code> MEG files (numpy)</li><li><code>.csv</code> behavioral files</li><li>Python scripts using MNE-Python for statistical analysis and visualization</li></ul><h3><b>Usage</b></h3><p dir="ltr">The provided scripts reproduce the statistical tests and figures presented in the manuscript. …"

DCPR_V1.0 حسب xiao han (21405770)

"…</p><p dir="ltr"><b>DCPR_codes</b>: Source code for DCPR model.</p><p dir="ltr"><b>Visualization</b>: Scripts for data visualization, including circadian curves (cosine model fitting), sample plots (predicted and real time), model performance (CDF curves, and accuracy plots).…"

Discovery of a Latent Entropy-Based Physiologic State Variable Governing Multisystem Instability in Critical Illness حسب Jordan Rabbani (22800074)

"…Contents: notebook/ – A full Google Colab notebook exported as HTML and IPYNB, containing the exact code used for data cleaning, EI computation, EI_slope derivation, cross-correlation analysis, and multivariable regression. tables/ – CSV files of the processed ei_full dataframe, the xcorr_df table (lag-based cross-correlation results), and the ss_df table (two-variable OLS models for EI_slope). figures/ – Auto-generated plots of EI trajectories and regression diagnostics (if any were produced). metadata/ – Variable dictionaries, version information for Python, NumPy, Pandas, Statsmodels, and notes on reproducibility. …"

Visitors to Mexico’s Archaeological Sites and Museums (1996-2025) حسب Montserrat Mora (20430644)

"…</li><li><b>Requirements File</b>: A <code>requirements.txt</code> file listing necessary Python dependencies for analysis.…"

SpaMask: Dissecting spatial domains in spatial transcriptomics by a masked graph attention autoencoder حسب Yi Liu (17324461)

"…<br>(2) Tutorial for domain identification on 10x Visium human dorsolateral prefrontal cortex (DLPFC) dataset can be found here: Train_151674.ipynb.<br>Python source code, tutorials and datasets can be also accessed at https://github.com/LYxiaotai/SpaMask.…"