https://researchdata.se/en/catalogue Search results en This repository contains the processed dataset used in the study “Small-scale mixing regulates the reconfiguration of the Arabian Sea oxygen minimum zone.” The data are derived from SeaExplorer glider observations collected in the northwestern Arabian Sea and Sea of Oman between November 2024 and February 2025. The dataset includes the hydrographic, dissolved oxygen, current velocity, and microstructure turbulence variables used in the analyses and figures presented in the manuscript. It contains quality-controlled and gridded observations, derived seawater properties, processed AD2CP velocity fields, and microstructure-based estimates of turbulent kinetic energy and temperature-variance dissipation rates. Each variable within the NetCDF file has its corresponding attributes and metadata. These data were used to quantify distinct oxygen supply pathways, characterize small-scale mixing regimes, estimate diapycnal oxygen fluxes and flux convergence, and assess how mixing redistributes oxygen across different oxygen classes within the Arabian Sea oxygen minimum zone. The original observational data are archived separately on Zenodo. This repository provides the processed data products used for the manuscript analysis. The analysis and figure-generation code required to reproduce the results will be made available through the associated GitHub repository. Mon, 07 Sep 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-22650492 https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-22650492 University of Gothenburg Pinto-Juica, Mauro Queste, Bastien Font, Estel This dataset contains input and output files of the DFT package Vienna Ab initio Simulation Package (VASP) used to generate the results of the related article. Several supercells and calculation settings are used with the aim to describe different degrees of electron localization in BaTiO3−2xHx. Specifically, the calculations consist of: cell optimization, density of states and band structure calculations, and nudged-elastic band calculations. The results, as discussed in the article, help to understand the impact of localized electron on hydride-ion conduction mechanism of the material. Fri, 03 Oct 2025 15:21:19 GMT https://researchdata.se/en/catalogue/dataset/2025-68 https://researchdata.se/en/catalogue/dataset/2025-68 Chalmers University of Technology Lucas Fine Maths Karlsson Itai Panas Michael Marek Koza Honey bees are currently facing mounting pressures that have resulted in population declines in many parts of the world. In northern climates winter is a bottleneck for honey bees and a thorough understanding of the colonies’ ability to withstand the winter is needed in order to protect the bees from further decline. In this study the influence of weather variables on colony weight loss was studied over one winter (2019-2020) in two apiaries (32 colonies in total) in southwestern Sweden with weather stations recording wind, temperature, humidity and precipitation at 5-min intervals. Three subspecies of honey bees and one hybrid were studied: the native Apis mellifera mellifera, the Italian A. m. ligustica, the Carniolan A. m. carnica and the hybrid Buckfast. Additionally, we recorded Varroa mite infestation. To analyze factors involved in resource consumption, three modelling approaches using weather and weight data were developed: the first links daily consumption rates with environmental variables, the second modelled the cumulative weight change over time, and the third estimated weight change over time taking light intensity and temperature into account. Weight losses were in general low (0.039 ± 0.013kg/day and colony) and comparable to southern locations, likely due to an exceptionally warm winter (average temperature 3.5°C). Weight losses differed only marginally between subspecies with indications that A. m. mellifera was having a more conservative resource consumption, but more studies are needed to confirm this. We did not find any effect of Varroa mite numbers on weight loss. In general, increasing light and temperature increase resource consumption in honey bees and within the temperature ranges of the experiment resource consumption was found to be in accordance with the master equation of metabolic theory of ecology (MTE). The effects of climate change could potentially affect the honey bees’ overwintering strategies and successes since temperature is expected to change but light intensity is expected to remain the same. A dependence on both light and temperature to guide resource consumption could thus potentially limit the honey bees’ ability to adapt to a changing climate. Thu, 14 Oct 2021 08:07:03 GMT https://researchdata.se/en/catalogue/dataset/2021-240-1 https://researchdata.se/en/catalogue/dataset/2021-240-1 University of Skövde Niclas Norrström Mats Niklasson Sonja Leidenberger