Machine Learning

Nitrogen dioxide and ammonia in vehicle exhaust

This dataset provides a comprehensive overview of the natural gas price index system from 2004 to 2024. It includes monthly data on key factors influencing natural gas prices, such as coal prices, crude oil prices, heating oil prices, geopolitical factors, S&P500 index, natural gas supply, consumption, extraction volume, imports, storage levels, maximum and minimum temperatures, heating degree days (HDD), cooling degree days (CDD), and natural gas prices.

Statistics on the Ethereum

This paper investigates the integration of
deep learning-based volatility forecasting with portfolio
optimization strategies. We develop and evaluate a
framework that combines three neural architectures—
ResNet1D, WaveletCNN, and Temporal Convolutional
Autoencoder—with both classical mean-variance optimization and reinforcement learning approaches. Using
a comprehensive dataset spanning 2012-2025, we systematically analyze how different volatility-sentiment indicators (DIX, GEX, PCR, SKEW, VIX) and rebalancing
frequencies affect portfolio performance across eight

This archive contains image files showing X-rays of a suitcase with three dangerous objects, such as a knife, a revolver, and a grenade. The images are made in four different color representations. The images with labels are intended for training the YOLO network. The collection is divided into training sets and test sets. The test sets contain images contaminated with impulsive noise.

The Raga Ornamentation Detection (ROD) dataset is a curated collection of Hindustani Classical Music (HCM) vocal performances for the study of ornamentations in IAM. It consists of 212 audio files recorded by two expert singers, totalling 4.08 hours of audio. 

With the introduction of the low-altitude economy concept, the application of electric vertical takeoff and landing (eVTOL) aircraft has become more widespread, particularly in search and rescue missions. However, most of the existing path planning methods cannot effectively cope with dynamic environments and changes in destinations, which limits the ability of eVTOL drones to autonomously perform planning tasks in unknown dynamic environments.

This dataset contains 535 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; 50 heart sounds, 50 lung sounds, and 145 mixed sounds. For each mixed sound, the corresponding source heart sound (145 recordings) and source lung sound (145 recordings) were also recorded. It includes recordings from different anatomical chest locations, with normal and abnormal sounds.

The LLM-RIMSA dataset, designed to advance 6G networks through ultra-massive connectivity and intelligent radio environments. The dataset is built around a novel framework that integrates large language models (LLMs) with a reconfigurable intelligent metasurface antenna (RIMSA) architecture. This integration addresses limitations in hardware efficiency, dynamic control, and scalability seen in existing RIS technologies.

Dataset used in an IOP publication under review in the journal Physics in Medicine & Biology.