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Research data related to the ​​School of Medicine and Surgery of the University of Milano - Bicocca

Final scoring sheet for the cases enrolled in the study

Cyanide contamination from gold mine tailings presents ecological and human health risks, particularly in the artisanal mining and small-scale mining regions in Uganda. This study evaluated the phytoremediation potential of Phaseolus lunatus (lima beans) for cyanide-contaminated tailings from Greenstone Mining Limited. Field-based pedon experiments were conducted at planting densities of 0, 5, 10, and 15 plants/m² over an 84-day growth period. Cyanide concentrations in soils and plant tissues were quantified using titrimetric method. Soil cyanide reduction increased with plant density, reaching maximum values of 42.6 ± 1.8, 54.7 ± 1.4, and 59 ± 0.8%, respectively, compared to 3.4 ± 1.2% in the unplanted control pedon. Cyanide uptake and rate of detoxification were most pronounced during the vegetative stage, coinciding with rapid root development. Cyanide distribution in tissues followed the order of roots > stems > leaves > seeds, indicating dominant in-situ phytodegradation and limited translocation to edible tissues facilitated by the β-cyanoalanine synthase pathway. First-order kinetics best fitted the data (R² = 0.841 - 0.921), with rate constants rising with density and projected time to reach the permissible limit decreasing from 250 to 116 days. These results demonstrate that P. lunatus is an effective, low-cost phytoremediation option for cyanide-contaminated mine tailings in tropical environments.

This repository contains the scripts and data used to create the graphs and images published in the paper: Climatological characteristics and atmospheric circulation associated with 3D heat wave types in Middle Europe

These files contain the interview forms fiiled in the study by the participants, along with the participants’ evaluations of the criteria.

This dataset includes the mapped surface ruptures and offset measurements of the 28 March 2025 Mw7.9 Myanmar Earthquake based on commercial high-resolution optical satellite imagery. The data are in Esri shapefile format, projected in the GEO WGS84 coordinate system.

Deep Seek-Optimized Regression for Economic Growth Prediction and Financial Market Correlations

The full corpus is curated across multiple STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset. Dataset composition (full corpus): Text corpus: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada) Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages) Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC. Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel) Medical datasets: 30M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports. This repository includes: A small preview subset of the STEM English Q&A data Flat, viewer-friendly schema for inspection Parquet files suitable for benchmarking and evaluation Purpose of this dataset: Dataset preview and validation Model evaluation and experimentation Schema and format inspection before full-scale access :warning: Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. Note: This is not the full dataset. For full details, Please contact [Em: vipul.mishra@infobay.ai]

The full corpus is curated across multiple STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset. Dataset composition (full corpus): Text corpus: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada) Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages) Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC. Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel) Medical datasets: 30M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports. This repository includes: A small preview subset of the STEM English Q&A data Flat, viewer-friendly schema for inspection Parquet files suitable for benchmarking and evaluation Purpose of this dataset: Dataset preview and validation Model evaluation and experimentation Schema and format inspection before full-scale access :warning: Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. For full details, Please contact [Em: vipul.mishra@infobay.ai]

A short movie from 3D high-resolution temperature data in the deep Mediterranean demonstrating geothermal heating and short internal wave breaking via parametric instabilities. The movie associates with Fig. A2.