Data associated with the manuscript "Diversification patterns of Haeterini butterflies (Nymphalidae: Satyrinae)".

Data associated with the manuscript "Diversification patterns of Haeterini butterflies (Nymphalidae: Satyrinae)".

The fourteen PIs associated to this proposal represent the entire crystallography community in Norway and are affiliated to the major Norwegian universities. The research interests of the PIs and their collaborators revolves around topics linked to structural biology and material sciences.We apply for beam time for single- and multi-wavelength MX, Bio-SAXS and Cryo-EM, in support of our research projects funded e.g. by the Research Council of Norway and the ERC. Examples of research projects or topics are carbohydrate-active proteins of medical or bioeconomic relevance, inhibition of DNA repair enzymes, metalloprotein function and catalysis, regulation of cell-cycle processes, enzyme discovery, antibiotic resistance/drug-discovery and neurological diseases.Our overarching aim is to use bright synchrotron sources to produce high quality science.

The aim of this proposal is to study a new class of cathode materials for Li-ion batteries (LIBs): disordered antiperovskites (APs). Specifically, Li2MnSeO and Li2FeSeO are of particular interest due to simplicity of preparation and abundancy of elements. Our preliminary experiments indicated that Li2MnSeO shows high working potential while Li2FeSeO provides high capacity. However, further improvements of these materials are impeded by the lack of understanding of their mechanism during electrochemical cycling in LIB. As the structure evolution upon cycling can be elucidated by the combination of ex situ and operando measurements, we expect to gain deeper insights into the de/lithiation mechanism of AP cathodes.

Metal nanoparticle catalysts dispersed on the surface of a perovskite oxide support show great promise in solid-state electrochemical devices for energyconversion and electrification of chemical processes involving hydrogen. Breakthrough (electro)catalyst performance and durability have been achieved by directgrowth of nanoparticles from the oxide support by exsolution, and thus exhibit strong anchoring that inhibits agglomeration. Our hypothesis for explaining theobserved results involves transition metals (TM) on interstitial positions in the perovskite structure, where small TM can dissolve into a square-planar configurationadjacent to A-site vacancies. The potential role of such interstitial solubility of TMs has so far not been addressed in understanding exsolution processes. Thecombined in situ XAS and total scattering data of synchrotron experiments will allow for a detailed model of short-range ordering and local distortions in certaincation environments.

Alloying anode materials for metal-ion batteries provide higher capacity than traditional intercalation materials, at the cost of cycle stability. Many parameters can affect their lifetime and performance in a battery, including particle size and size of the pores in the electrode. With increasing particle size, diffusion limits the progress of chemical reactions. Larger pore size can improve ion diffusion at a cost of lower energy density. Small-angle X-ray scattering (SAXS) is a tool to investigate nanostructural changes occurring in a short range, which are complementary to the atomic scale, long range information obtained with wide-angle Xray scattering (WAXS). We will study the changes in porosity and particle size for Sn, Sb and Bi anode materials during cycling in Na-ion batteries. By measuring these parameters during battery operation, we aim to get a better understanding of morphological changes during cycling, and find the optimal balance between porosity and particle size.

Monitoring biodiversity patterns and their changes in Arctic coastal ecosystems is critical under ongoing climate changes. However, common current approaches require high effort and expertise which in turn limit the spatial and temporal scale of monitoring. Here, we investigated both the fish and marine invertebrate communities across Svalbard using a multi-marker environmental DNA metabarcoding approach. We analysed marine water, sediment and zooplankton filtered from marine water collected from sites influenced by the warm West Spitsbergen Current and the cold East Spitsbergen Current. Following metabarcoding amplification using mitochondrial COI, 12S, 16S and nuclear 18S markers and high-throughput sequencing, we retrieved an extensive overview of Svalbard marine biodiversity. While water and sediment samples collected across Svalbard showed a homogenous biodiversity signal across regions, zooplankton samples revealed clear spatial differences in community composition, with significantly distinct assemblages in the northwest and southeast of Svalbard. We identified potential bioindicator species for use in rapid assessment of impacts of marine temperature increase, and confirmed observed patterns of ongoing shifts in community structure as a response to climate changes. Overall, our findings show that species composition depending on fine-scale climate variation of Arctic waters can be effectively studied and monitored using environmental DNA. These insights can help us understand current and evolving climate-driven changes.

Monitoring biodiversity patterns and their changes in Arctic coastal ecosystems is critical under ongoing climate changes. However, common current approaches require high effort and expertise which in turn limit the spatial and temporal scale of monitoring. Here, we investigated both the fish and marine invertebrate communities across Svalbard using a multi-marker environmental DNA metabarcoding approach. We analysed marine water, sediment and zooplankton filtered from marine water collected from sites influenced by the warm West Spitsbergen Current and the cold East Spitsbergen Current. Following metabarcoding amplification using mitochondrial COI, 12S, 16S and nuclear 18S markers and high-throughput sequencing, we retrieved an extensive overview of Svalbard marine biodiversity. While water and sediment samples collected across Svalbard showed a homogenous biodiversity signal across regions, zooplankton samples revealed clear spatial differences in community composition, with significantly distinct assemblages in the northwest and southeast of Svalbard. We identified potential bioindicator species for use in rapid assessment of impacts of marine temperature increase, and confirmed observed patterns of ongoing shifts in community structure as a response to climate changes. Overall, our findings show that species composition depending on fine-scale climate variation of Arctic waters can be effectively studied and monitored using environmental DNA. These insights can help us understand current and evolving climate-driven changes.

Monitoring biodiversity patterns and their changes in Arctic coastal ecosystems is critical under ongoing climate changes. However, common current approaches require high effort and expertise which in turn limit the spatial and temporal scale of monitoring. Here, we investigated both the fish and marine invertebrate communities across Svalbard using a multi-marker environmental DNA metabarcoding approach. We analysed marine water, sediment and zooplankton filtered from marine water collected from sites influenced by the warm West Spitsbergen Current and the cold East Spitsbergen Current. Following metabarcoding amplification using mitochondrial COI, 12S, 16S and nuclear 18S markers and high-throughput sequencing, we retrieved an extensive overview of Svalbard marine biodiversity. While water and sediment samples collected across Svalbard showed a homogenous biodiversity signal across regions, zooplankton samples revealed clear spatial differences in community composition, with significantly distinct assemblages in the northwest and southeast of Svalbard. We identified potential bioindicator species for use in rapid assessment of impacts of marine temperature increase, and confirmed observed patterns of ongoing shifts in community structure as a response to climate changes. Overall, our findings show that species composition depending on fine-scale climate variation of Arctic waters can be effectively studied and monitored using environmental DNA. These insights can help us understand current and evolving climate-driven changes.

Monitoring biodiversity patterns and their changes in Arctic coastal ecosystems is critical under ongoing climate changes. However, common current approaches require high effort and expertise which in turn limit the spatial and temporal scale of monitoring. Here, we investigated both the fish and marine invertebrate communities across Svalbard using a multi-marker environmental DNA metabarcoding approach. We analysed marine water, sediment and zooplankton filtered from marine water collected from sites influenced by the warm West Spitsbergen Current and the cold East Spitsbergen Current. Following metabarcoding amplification using mitochondrial COI, 12S, 16S and nuclear 18S markers and high-throughput sequencing, we retrieved an extensive overview of Svalbard marine biodiversity. While water and sediment samples collected across Svalbard showed a homogenous biodiversity signal across regions, zooplankton samples revealed clear spatial differences in community composition, with significantly distinct assemblages in the northwest and southeast of Svalbard. We identified potential bioindicator species for use in rapid assessment of impacts of marine temperature increase, and confirmed observed patterns of ongoing shifts in community structure as a response to climate changes. Overall, our findings show that species composition depending on fine-scale climate variation of Arctic waters can be effectively studied and monitored using environmental DNA. These insights can help us understand current and evolving climate-driven changes.