Scientific Data

Abstract Daily climate data at high spatial resolution is essential for impact assessment in mainland Southeast Asia, yet existing products either lack spatial detail or temporal coverage. We present MSEA-Daily, a gridded daily climate dataset at 4-km resolution spanning 1981–2014 for mainland Southeast Asia (Myanmar, Thailand, Laos, Cambodia, Vietnam). The dataset provides daily precipitation, m…

Abstract The UN Agenda 2030 motivates the development of scalable methods and tools for assessing the contribution of research and higher education institutions to sustainable development. Current research efforts suffer from the lack of rigorous evaluation benchmarks. This paper describes a collaborative work with sustainability experts aimed at constructing AlmaSDG, the first pilot dataset of s…

Abstract The canine gut microbiome is an important model for microbiome research, yet methodological variation in DNA isolation, library preparation, and sequencing complicates cross-study comparisons. Here we present a three-component dataset to evaluate methodological effects. First, an ultra-deep sequencing dataset was generated from a single dog fecal sample using both short- (Illumina NovaSe…

Abstract Tephra layers preserved in marine sedimentary archives constitute key isochronous markers for reconstructing volcanic activity and regional stratigraphic frameworks. Here we present a comprehensive geochemical dataset of volcanic glass from tephra layers identified in sediment core M72/5-25-GC1 recovered from the southwestern Black Sea. The dataset includes major and trace element compos…

Abstract Peptide hormones are key signaling molecules secreted by endocrine cells that regulate vital physiological processes such as metabolism, growth, development, and reproduction. Advances in protein detection and computational approaches have led to the continuous identification of novel peptide hormones, highlighting their potential in basic research, clinical applications, and drug develo…

Abstract Advanced Persistent Threats(APTs) are characterized by persistence and complex attack chains. Information extraction techniques enable the identification of critical knowledge from unstructured Cyber Threat Intelligence (CTI), improving the detection of APT attacks. At present, high-quality information extraction datasets for Chinese APT scenarios remain scarce, particularly those coveri…

Abstract This dataset provides curated multimodal recordings of human bipedal locomotion collected from 18 healthy adults during prolonged treadmill activity at four controlled speeds (4 km ∙ h −1 , 6 km ∙ h −1 , 9 km ∙ h −1 , and 12 km ∙ h −1 ). Each participant completed three continuous treadmill trials comprising multiple speed intervals, totalling approximately forty minutes of recorded acti…