Distributed Acoustic Sensing (DAS) is a rapidly developing technology providing spatially dense data of great value for seismic and acoustic monitoring. This paper presents NORFOX, a dedicated DAS installation in southeastern Norway. NORFOX comprises a dedicated fibre-optic array with a geometry designed for earthquake and explosion monitoring. A defining feature of the site is its co-location with the NORES seismic and infras...

Purpose The main purpose was to identify clusters of adolescents with overweight or obesity characterized by the satisfaction of basic psychological needs, exercise-related barriers, and social support by family members and friends. This served the overarching goal of informing hypotheses for tailored research approaches in physical activity promotion considering a stronger focus on physical activity enjoyment. Methods Cross-s...

Plant species differ in their nutrient uptake, yet the relative importance of species identity versus environmental variables in shaping foliar elemental composition remains poorly understood. We collected foliar samples from ten alpine plant species across 21 plots spanning an elevational gradient of ~ 1000 m on the silicate-based soils of Schrankogel, Austria. Our aim was to disentangle the effects of species identity, site...

Motivation The database initiated by the Mountain Invasion Research Network (MIREN) is one of the few globally implemented standardized vegetation surveys in mountains. The focus is on collecting plant species occurrences at 5‐year intervals along and adjacent to mountain roads spanning elevational gradients, with the goal of providing critical information about the ongoing spread of non‐native plants and the potential impacts...

Safeguarding groundwater, a vital resource in adaptation to global change, yet increasingly under pressure, requires robust knowledge and capacity. While strong foundations in hydrogeology remain indispensable, there is a clear need for joint, interdisciplinary and applied groundwater education at the postgraduate level to address the complex and multifaceted nature of groundwater science. Building on these arguments, the Join...

In an era of increased complexity, interdependence, uncertainty and rapidly advancing technology, the ability to identify and swiftly adapt to current and future trends is key to progressing sustainability. Intersecting drivers and stressors are converging to destabilize socioecological systems and reshape national, regional and global outlooks. The intersecting and converging crises of the 21st century have exposed the limits...

We train and evaluate the performance of deep learning based models for picking seismic phases from local, regional and teleseismic seismological datasets. The datasets for training and testing at regional and teleseismic distances are assembled based on bulletins provided by the International Monitoring System (IMS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO). In this study we test the potential of machi...