This dataset is associated with the study: "First use of visible-thermal fusion network approach for robust species monitoring in the tropics".A total of 797 fused visible-thermal drone images were collected at Baluran National Park, East Java, Indonesia. The park is a tropical savanna ecosystem and a key conservation area for several protected and near-threatened species in Java.All images provided in this dataset are fusion outputs — composite images combining visible (RGB) and thermal infrared information — and were used directly as input for deep learning-based species detection models Dataset summary:Total images: 797 fused visible-thermal imagesImage type: Fusion output (not raw RGB or thermal)Annotations: Not included (image-only release)Capture platform: UAV dual-sensor systemStudy site: Baluran National Park, Situbondo, East Java, IndonesiaHabitat: Tropical savanna
Accurate wood species identification is crucial for biodiversity preservation and forest management. Because traditional identification methods are time-consuming and heavily rely on expert knowledge, automated image-based solutions have become more and more important. This resea…
This dataset was developed to support an assistive belt system designed to help visually impaired individuals navigate outdoor environments safely. It contains annotated images covering 15 object classes relevant to outdoor navigation: person, car, bus, truck, bicycle, motorcycle…
This dataset was developed for the manuscript entitled “A Sentinel-1/2 Benchmark Dataset and Deep Learning Models for Segmenting Intertidal Biogenic Structures in the Lower Saxony Wadden Sea National Park,” which is currently under review. At this stage, the dataset is provided e…
This dataset is designed for long-time temperature-field prediction in single-track directed energy deposition. The data were generated from high-fidelity thermo-fluid simulations in FLOW-3D AM and include 36 stainless-steel Fe 316 single-track DED cases. The cases form a structu…
Blockchain-integrated deep learning intrusion detection systems for the Internet of Things have attracted growing research attention, yet the relationship between detection depth and blockchain trust scope in these architectures has not been examined systematically. This analysis…
Radiography, renowned for its diagnostic prowess and affordability, plays a key role in detecting diseases, including critical conditions. Chest radiography, focusing on a vital body area, poses interpretational challenges, necessitating experienced radiologists for accurate diag…