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FIG. 1 in Taxonomy and phylogenetic analysis reveal one new genus and three new species in Inonotus s.l. (Hymenochaetaceae) from Brazil
FIG. 1. — Phylogeny of Hymenochaetaceae, with focus on Inonotus clade, inferred from ITS and LSU sequences. Topology is from ML analysis, with BT/PP [...]
FIG. 3 in Taxonomy and phylogenetic analysis reveal one new genus and three new species in Inonotus s.l. (Hymenochaetaceae) from Brazil
FIG. 3. — Inonotus micantissimus (Rick) Rajchemb. (URM90186): A, pore surface; B, tramal setae; C, hymenial setae; D, basidiospores. I. rickii (Pat.) Reid (URM94336): E, aspect of the anamorphous stage; F, tramal setae and chlamydospores. All preparations in 3% KOH. Scale bars: A, 1 mm; B, C, F, 20 μm; E, 1 cm.
FIG. 5 in Ulva L. (Ulvales, Chlorophyta) from Manawatāwhi/ Three Kings Islands, New Zealand: Ulva piritoka Ngāti Kuri, Heesch & W.A.Nelson, sp. nov. and records of two nonnative species, U. compressa and U. rigida
FIG. 5. — Ulva piritoka Ngāti Kuri, Heesch & W.A.Nelson, sp. nov.: A, surface view showing rhizoids extending from cells; B, rhizoidal clump from lower surface of thallus. Scale bars: A, 20 µm; B, 50 µm
FIG. 3 in Ulva L. (Ulvales, Chlorophyta) from Manawatāwhi/ Three Kings Islands, New Zealand: Ulva piritoka Ngāti Kuri, Heesch & W.A.Nelson, sp. nov. and records of two nonnative species, U. compressa and U. rigida
FIG. 3. — Phylogenetic tree inferred by Maximum Likelihood analysis from partial rbcL sequences of Ulvacean species. Numbers above lines indicate ML bootstrap support values (BS) and Bayesian posterior probabilities (PP). BS values below 60% and PP values below 0.9 are not shown. Species names (reflecting current nomenclature; Guiry & Guiry 2021) are followed by GenBank/ENA accession numbers and origin of the sample (see Table 2 for references). New sequences are set in bold.
FIG. 4. — A in Ulva L. (Ulvales, Chlorophyta) from Manawatāwhi/ Three Kings Islands, New Zealand: Ulva piritoka Ngāti Kuri, Heesch & W.A.Nelson, sp. nov. and records of two nonnative species, U. compressa and U. rigida
FIG. 4. — A, Holotype Ulva piritoka Ngāti Kuri, Heesch & W.A.Nelson, sp. nov.; B, section through distromatic blade; C, section in region of rhizodal clump showing deeper adaxial cell layer and rhizoids arising from cells of both thallus layers. Scale bars: A, 2 cm; B, C, 50 µm
Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences
<p><strong>Abstract</strong></p> <p>Recent studies have suggested the presence of moonlight mediated behaviour in avian aerial insectivores, such as swifts. At the same time swift species also show differences in prey (size) preferences. Here, we use the combined analysis of state-of-the-art activity logger data across three swift species, the Common, Pallid and Alpine swifts, to quantify flight height and activity responses to crepuscular and nocturnal light conditions. Our results show a significant response in flight heights to moonlight illuminance for Common and Pallid swifts, while a moonlight driven response is absent in Alpine swifts. Swift flight responses followed the size dependent altitude gradient of their insect prey. We show a weak relationship between night-time illuminance driven responses and twilight ascending behaviour, suggesting a decoupling of both crepuscular and night-time behaviour. We suggest that swifts optimise their flight behaviour to adapt to favourable night-time light conditions, driven by light responsive and size-dependent vertical insect stratification and weather conditions.</p> <blockquote> <p>You are required to cite both the Zenodo data repository as well as the BioRXiv pre-print when using this data, as:</p> <p>Hufkens et al. 2023. Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences. doi://10.5281/zenodo.7814214</p> <p>Hufkens et al. 2023. Moonlight synchronous flights across three western palearctic swifts mirror size dependent prey preferences. bioRxiv 2023.04.25.538243; doi: https://doi.org/10.1101/2023.04.25.538243</p> </blockquote> <p><strong>Use</strong></p> <p>This is a deposited version of the releases on Github.</p> <p>Either download this Zenodo repository or clone or download the project Github <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/archive/refs/heads/main.zip">zip file</a>.</p> <pre><code class="language-bash">git clone https://github.com/bluegreen-labs/swift_lunar_synchrony.git</code></pre> <p>Unzip the downloaded data if required. The repository is an `R` project and can be opened in <a href="https://posit.co/download/rstudio-desktop/">RStudio</a>, which will set the correct relative path.</p> <p><strong>Data structure & analysis</strong></p> <p>Analysis data is saved as compressed R serial files (.rds) in the <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/tree/main/data">`data` folder</a>. Scripts to reproduce the main statistical results are provided in the <a href="https://github.com/bluegreen-labs/swift_lunar_synchrony/tree/main/analysis">`analysis` folder</a>. A matching render of the analysis using the shared data is provided as <a href="http://bluegreen-labs.github.io/swift_lunar_synchrony/">dynamic webpage</a>.</p> <p><strong>Licensing</strong></p> <p>Be mindful of the CC-BY 4.0 license of the data and figures. Reuse is permitted on the condition of proper attribution and documentation of any changes.</p>
Questionnaire: Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar
<p>This questionnaire was applied as data collection tool for the dataset of "Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar".</p>
Effects of brain maintenance and cognitive reserve on age-related decline in three cognitive abilities
<p><strong>Objectives </strong></p> <p>Age-related cognitive changes can be influenced by both brain maintenance (BM), which refers to the relative absence over time of changes in neural resources or neuropathologic changes, and cognitive reserve (CR), which encompasses brain processes that allow for better-than-expected behavioral performance given the degree of life-course related brain changes. This study evaluated the effects of age, BM, and CR on longitudinal changes over two visits, 5 years apart, in three cognitive abilities that capture most of age-related variability.</p> <p><strong>Method </strong></p> <p>Participants included 254 healthy adults aged 20–80 years at recruitment. Potential BM was estimated using whole brain cortical thickness and white matter mean diffusivity at both visits. Education and IQ (estimated with AMNART) were tested as moderating factors for cognitive changes in the three cognitive abilities.</p> <p><strong> Results </strong></p> <p>Consistent with BM—after accounting for age, sex, and baseline performance—individual differences in the preservation of mean diffusivity and cortical thickness were independently associated with relative preservation in the three abilities. Consistent with CR—after accounting for age, sex, baseline performance, and structural brain changes—higher IQ, but not education, was associated with reduced 5-year decline in Reasoning (𝛽=0.387, p=0.002), and education was associated with reduced decline in Speed (𝛽=0.237, p=0.039). <strong> </strong></p> <p><strong>Discussion</strong></p> <p>These results demonstrate that both CR and BM can moderate cognitive changes in healthy aging and that the two mechanisms can make differential contributions to preserved cognition.</p>
Fig. 31 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 31. Distribution of Lusius tenuissimus (Heinrich, 1938). A–B. Previous (blue) and new (yellow) records. A. Country records for mainland Africa. B. Regional records for Madagascar.
Fig. 27 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 27. Kibalus nonnaritae Dal Pos & Di Giovanni sp. nov., holotype, ♂ (TUZ). A. Head, frontal view. B. Metasoma, dorsal view.
Fig. 26 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 26. Kibalus nonnaritae Dal Pos & Di Giovanni sp. nov., holotype, ♂ (TUZ). A. Habitus, lateral view. B. Head and mesosoma, dorsal view. C. Mesosoma, lateral view.
Fig. 16 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 16. Distribution of Chauvinia nitida (Heinrich, 1938). A. Previous (blue dots) and new occurrence records (yellow star). B. Previous (blue) and new (yellow) regional records.
Fig. 30 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 30. Distribution of Lusius tenuissimus (Heinrich, 1938). A–B. Previous (blue dots) and new records (yellow star). A. Mainland Africa. B. Madagascar.
Fig. 20 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 20. Heterischnus mfongosi Rousse & van Noort, 2013, ♀ (NHMUK). A. Head and mesosoma, lateral view. B. Propodeum, dorso-lateral view.
Fig. 12. Head, frontal view. A–B in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 12. Head, frontal view. A–B. Chauvinia ganota Claridge sp. nov. A. ♀, holotype (EMUS). B. ♂, paratype (EMUS). – C–D. Chauvinia nyanga Rousse & van Noort, 2013. C. ♀ (EMUS). D. ♂ (EMUS).
Fig. 23 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 23. Distribution of Heterischnus olsoufieffi (Heinrich, 1938). A. Previous (blue dots) and new records (yellow stars). B. Previous (blue) and new (yellow) regional records.
Fig. 34 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 34. Nesostenodontus mkomazi Rousse & van Noort, 2013 comb. nov., holotype, ♂ (SAMC). A. Propodeum, dorsal view. B. Metasoma, dorsal view. C. Metasoma, lateral view. D. Labels.
Fig. 13 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 13. Habitus, lateral view, ♂. A. Chauvinia ganota Claridge sp. nov., paratype (EMUS). B. Chauvinia nyanga Rousse & van Noort, 2013 (EMUS).
Fig. 11 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 11. Chauvinia ganota Claridge sp. nov., holotype, ♀ (EMUS). A. Mesopleuron, lateral view. B. Mesosoma, dorso-lateral view.
Fig. 10 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 10. Chauvinia ganota Claridge sp. nov., holotype, ♀ (EMUS). A. Labels. B. Habitus, lateral view. C. Metasoma, dorsal view.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.