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Fig.ç2.Ec hinoderes ohtsukai sp. nov., camera lucida drawings. A, B, Holotype, male (ZIHU 3976), entire animal, dorsal and ventral view, respectively; C, D, allotype, female (ZIHU 3977), segments 9–11, dorsal and ventral view, respectively. Abbreviations: dss, droplet-shaped sensory spot; gco1, glandular cell outlet type I; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; lts, lateral terminal spine; lvt, lateroventral tubule; mds, middorsal spine; ne, neck; ps, penile spine; rss, rounded sensory spot; si, sieve plate. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç2.Ec hinoderes ohtsukai sp. nov., camera lucida drawings. A, B, Holotype, male (ZIHU 3976), entire animal, dorsal and ventral view, respectively; C, D, allotype, female (ZIHU 3977), segments 9–11, dorsal and ventral view, respectively. Abbreviations: dss, droplet-shaped sensory spot; gco1, glandular cell outlet type I; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; lts, lateral terminal spine; lvt, lateroventral tubule; mds, middorsal spine; ne, neck; ps, penile spine; rss, rounded sensory spot; si, sieve plate.
Data from: Seed preference is only weakly linked to seed-type-specific feeding performance in a songbird
<p>The dehusking of seeds by granivorous songbirds is a complex process that requires fast, coordinated and sensory-feedback-controlled movements of beak and tongue. Hence, efficient seed handling requires a high degree of sensorimotoric skill and behavioural flexibility, since seeds vary considerably in size, shape and husk structure. To deal with this variability, individuals might specialise on specific seed types, which could result in greater seed handling efficiency of the preferred seed type, but lower efficiency for other seed types. To test this, we assessed seed preferences of canaries (Serinus canaria) through food choice experiments and related these to data of feeding performance, seed handling skills and beak kinematics during feeding on small, spindle-shaped canary seeds and larger, spheroid-shaped hemp seeds. We found great variety in seed preferences among individuals: some had no clear preference, while others almost exclusively fed on hemp seeds, or even prioritized novel seed types (millet seed). Surprisingly, we only observed few and weak effects of seed preference on feeding efficiency. This suggests that either the ability to handle seeds efficiently can be readily applied across various seed types, or alternatively, it may indicate that achieving high levels of seed-specific handling skills does not require extensive practice.</p>
The more microplastic types pollute the soil, the stronger the growth suppression of invasive alien and native plants
<p>The ecological consequences of microplastic pollution for plants remain largely unknown, and the few studies that tested the effects usually focused on a single type of microplastic and a single plant species. However, most plants will be exposed to multiple microplastic types simultaneously, and the effects may vary among species.</p> <p>To test the effects of microplastic diversity on plants, we grew single plants of eight invasive and eight native species in pots with substrate polluted with 0, 1, 3 and 6 types of microplastics.</p> <p>We found that the growth suppression by microplastic pollution became stronger with the number of microplastic types the plants were exposed to. This tended to be particularly the case for invasive species, as their biomass advantage over natives diminished with the number of microplastic types. The biomass responses coincided with a positive effect of the number of microplastic types on root allocation and thickness, which was also stronger for invasive than for native species. In addition, the results of hierarchical diversity-interaction models suggest that the negative impact of microplastic diversity on the total biomass of invasive plant species was influenced by both the identities of the microplastic and certain types of microplastic with strong pairwise interactions. In contrast, the effect on native species was determined solely by the microplastic identities.</p> <p><em>Synthesis: </em>Our multi-species study thus shows for the first time that the negative effects of microplastic pollution on plant growth increase with the number of microplastic types. We also found tentative evidence that the negative impacts of microplastic diversity were more pronounced for invasive plants compared to native plants, and that this might be due to differences in the responses of root allocation and thickness.</p>
Linked collectors and determiners for: Botanical Museum, Copenhagen. Database of type specimens.
Natural history specimen data linked to collectors and determiners held within, "Botanical Museum, Copenhagen. Database of type specimens". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/84d3829c-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/84d3829c-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/84d3829c-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/84d3829c-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Exponential approximation of the coherence contribution to the thermal conductivity of complex clathrate-type crystals
<p>The low-temperature properties of guest-host crystals, such as clathrates and skutterudites, offer a rich playground for discovering novel physical phenomena and developing new materials with unique properties. The temperature dependence of thermal conductivity in these materials can exhibit both crystal-like and glass-like behavior, which reflects the properties of the phonon excitations and various scattering mechanisms. The ultra-low thermal conductivity of clathrate crystals is closely related to the concept of minimal thermal conductivity, which is determined by the intrinsic phonon scattering in the material. In this work, the temperature dependence of thermal conductivity for both crystal-like and glass-like behavior of different structural types of clathrates and skutterudites was analyzed using the ”Unified theory of thermal transport in crystals and glasses” of M. Simoncelli, N. Marzari & F. Mauri. A method was proposed and tested for the coherence contribution related to wave-like tunneling and loss of coherence between different vibrational eigenstates. The temperature dependence of the coherence contribution to thermal conductivity was approximated by the exponential function of an Arrhenius type with characteristic energy <em>E</em> and characteristic minimal thermal conductivity parameter <em>κ</em><sub>0</sub>. The coherence contribution is intertwined with other phonon scattering mechanisms, and over a wide temperature range, its temperature dependence is universal with parameters depending on the crystal structure, positional disorder, and impurity doping. This work provides insights into the temperature dependence of thermal conductivity in guest-host materials and its importance for designing and optimizing their properties for various applications, such as thermoelectric generators</p>
F I G U R E 3 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 3 Mean (±1 SE) proportion of time female Bactrocera dorsalis spent on aggression, grooming, oviposition, probing, being inactive, and walking and tasting on (a) damaged and (b) undamaged citrus types and a positive control (Golden Delicious apple). Citrus types investigated were Golden Delicious apple, Delta Valencia orange, Eureka lemon, Glen Ora navel orange, Nadorcott mandarin and Star Ruby grapefruit. Each female was observed for 20 min.
F I G U R E 2 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 2 First-order Markovian analyses showing the probability of transition from one behaviour to another by gravid female Bactrocera dorsalis on (a) damaged and (b) undamaged citrus (all types pooled). Transitions with p ≥ 0.10 are indicated by solid lines, and those with 0.09 ≥ p ≥ 0.03 are indicated by dashed lines. Values in parentheses indicate frequencies of each behaviour observed.
F I G U R E 1 in Oviposition by the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), on five citrus types in a laboratory
F I G U R E 1 Non-metric multidimensional scaling (NMDS) ordination plot showing the relative similarity of essential oil composition of different citrus types and degrees of ripeness. Ellipses represent 95% confidence intervals. The treatments tested were degrees of ripeness denoted as Green, Colour Break, Ripe or Over Ripe and were tested on variants Eureka lemon, Nadorcott mandarin, Glen Ora Late navel orange, Delta Valencia orange and Star Ruby grapefruit.
Data for Identifying Knot Types of Polymer Conformations by Machine Learning
<h1>Training Data and Generalizability Testsets</h1> <h2>For the publication PhysRevE.101.022502</h2> <pre>@article{PhysRevE.101.022502, title = {Identifying knot types of polymer conformations by machine learning}, author = {Vandans, Olafs and Yang, Kaiyuan and Wu, Zhongtao and Dai, Liang}, journal = {Phys. Rev. E}, volume = {101}, issue = {2}, pages = {022502}, numpages = {10}, year = {2020}, month = {Feb}, publisher = {American Physical Society}, doi = {10.1103/PhysRevE.101.022502}, url = {https://link.aps.org/doi/10.1103/PhysRevE.101.022502} }</pre> <h2>GitHub source code demo using this dataset: </h2> <p><a href="https://github.com/CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020"><strong>🥨 https://github.com/CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020</strong></a></p> <p><strong>The above GitHub repo provide <strong>a docker, training code, best model with weights, and two showcases of generalizability</strong>.</strong></p>
Climate and habitat type interact to influence contemporary dispersal potential in Prairie Smoke (Geum triflorum)
<p>Understanding dispersal potential, or the probability a species will move a given distance, under different environmental conditions is essential to predicting species' ability to move across the landscape and track shifting ecological niches. Two important drivers of dispersal ability are climatic differences and variation in local habitat type. Despite the likelihood these global drivers act simultaneously on plant populations, and thus dispersal potential is likely to change as a result, their combined effects on dispersal are rarely examined. To understand the effect of climate and varying habitat types on dispersal potential, we studied <em>Geum triflorum</em> - a perennial grassland species that spans a wide range of environments, including both prairie and alvar habitats. We explored how the climate of the growing season and habitat type (prairie vs alvar) interact to alter dispersal potential. We found a consistent interactive effect of climate and habitat type on dispersal potential. Across prairie populations, an increased number of growing degree days favored traits that increase dispersal potential, or the probability of dispersing farther distances. However, for alvar populations, dispersal potential tended to decrease as the number of growing degree days increase. Our findings suggest that under continued warming, populations in prairie habitats will benefit from increased gene flow, while alvar populations will become increasingly segregated, with reduced potential to track shifting fitness optima.</p>
Figure 1 in Influence of temperature and prey type on life-table parameters and consumption rate of Stethorus gilvifrons (Mulsant) (Coleoptera: Coccinellidae) on three tetranychid mites
Figure 1. Age-stage-specific survival rate (lx) and age-specific fecundity (mx) curves of Stethorus gilvifrons on different prey types and different temperatures.
Figure 2. Green and senescence N in Foliar resorption of nitrogen and phosphorus in Alcea apterocarpa (Malvaceae) in different habitats types
Figure 2. Green and senescence N:P ratio of A. apterocarpa in different habitat types. Means followed by the same letter are not significantly different at the 0.05 level using Tukey's HSD test.
Figure 1 in Foliar resorption of nitrogen and phosphorus in Alcea apterocarpa (Malvaceae) in different habitats types
Figure 1. Resorption proficiency and efficiency levels of A. apterocarpa according to all patterns. Habitat abbreviations are H1: riverbank, H2: meadow and H3: forest clearing. Minor letters followed by the same letter are not significantly different at the 0.05 level using Tukey's HSD test.
Images of mixed-type recyclable waste
<p>A dataset of RGB images depicting multiple recyclables of different material types (eg PET, HDPE, aluminum) on a conveyor belt.</p> <p>The dataset is produced as part of the EU funded project RECLAIM: GA-101070524.</p>
Code for generating figures and analyzing amplicon sequencing of human mRNA and reporter mRNA targeted with type III-A CRISPR complex from Streptococcus thermophiles
<p>This dataset contains code for analyzing amplicon sequencing data and generating figures in the manuscript by Anna Nemudraia, Artem Nemudryi, and Blake Wiedenheft (2024), "Repair of CRISPR-guided RNA breaks enables site-specific RNA excision in human cells." </p> <p>Amplicon sequencing data has been deposited to NCBI Sequence Read Archive (SRA) under BioProject PRJNA1099688. The description of read files deposited to SRA can be found in the spreadsheet ./code_for_sequencing_data_analysis/SRA_read_files_description.xlsx</p> <p>The code for analyzing amplicon sequencing data can be found in the archive "code_for_sequencing_data_analysis.tar.gz." Output files from this analysis were used to generate figures. Figures were generated using the ggplot2 package in R and finalized in CorelDRAW.</p> <p>Code for generating figures can be found in the archive "code_for_generating_figures.tar.gz". </p> <p>Any questions or requests regarding the data or the code should be addressed to Dr. Artem Nemudryi at artem.nemudryi@gmail.com.</p>
Figure 2 in The types of Liptena augusta Suffert, 1904 and Liptena subundularis (Staudinger, 1892) (Papilionoidea: Lycaenidae: Poritiinae)
Figure 2 – Male genitalia of ♂ lectotype of Liptena augusta (prép. Libert, 120-030) – A: right lateral view; B: ventral view of sternites 7 & 8; C: dorsal view of uncus. D: reproduction of Fig. 4 in Stempffer 1957.
Рис. 2. Продольный (А–Д) и поперечный (Е–З) среЗы череЗ наружный покров ноги моллюска с раЗными типами складок: А, Б – Широкие складки в виде плато, В, Г – длинные иЗвилистые складки, Д, Е – складки с округлыми и бокаловидными клетками в субЭпителиальном слое, Ж, З – слабовыраженные складки с больШими полостЯми (синусами) длЯ гемолимфы под субЭпителиальным слоем. МасШтабные линейки 200 мкм (А, В, Ж, З) и 100 мкм (Б, Г–Е). вК – клетки с вакуолЯми, сэ – субЭпителиальный слой, БК – бокаловиднаЯ клетка, сг – синусы длЯ гемолимфы, ф – фолликулы, а – ацинусы. Fig. 2. Saggital (А–Д) and transverse (Е–З) sections of pedal integument with different types of plicae: А, Б – broad plateau-shaped plicae, В, Г – long, tortuous plicae, Д, Е – plicae with round and goblet cells in the subepithelial layer, Ж, З – mild plicae with large cavities (sinuses) for hemolymph under subepithelial layer. Scale bars 200 µm (А, В, Ж, З) and 100 µm (Б, Г–Е). вК – cells with vacuoles, сэ – subepithelial layer, БК – goblet cell, сг – sinuses for hemolymph, ф – follicles, а – acini. in Nodularia vladivostokensis (Bivalvia: Unionidae) from Razdolnaya River (Primorye, Russia)
Рис. 2. Продольный (А–Д) и поперечный (Е–З) среЗы череЗ наружный покров ноги моллюска с раЗными типами складок: А, Б – Широкие складки в виде плато, В, Г – длинные иЗвилистые складки, Д, Е – складки с округлыми и бокаловидными клетками в субЭпителиальном слое, Ж, З – слабовыраженные складки с больШими полостЯми (синусами) длЯ гемолимфы под субЭпителиальным слоем. МасШтабные линейки 200 мкм (А, В, Ж, З) и 100 мкм (Б, Г–Е). вК – клетки с вакуолЯми, сэ – субЭпителиальный слой, БК – бокаловиднаЯ клетка, сг – синусы длЯ гемолимфы, ф – фолликулы, а – ацинусы. Fig. 2. Saggital (А–Д) and transverse (Е–З) sections of pedal integument with different types of plicae: А, Б – broad plateau-shaped plicae, В, Г – long, tortuous plicae, Д, Е – plicae with round and goblet cells in the subepithelial layer, Ж, З – mild plicae with large cavities (sinuses) for hemolymph under subepithelial layer. Scale bars 200 µm (А, В, Ж, З) and 100 µm (Б, Г–Е). вК – cells with vacuoles, сэ – subepithelial layer, БК – goblet cell, сг – sinuses for hemolymph, ф – follicles, а – acini.
UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function
<p><span>We present the data of the study by Gao et al. (202</span><span>4</span><span>): <a name="_Hlk179470571"></a><a name="OLE_LINK42"></a><strong><span>UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function</span></strong></span><span>.</span><span> The excel file (Raw Data) includes the following sheets: 1- Radiation (w·m<sup>-2</sup>) variation of UV-A and UV-B during the experimental period. 2- Decay constants (<em>K</em>, yr<sup>−1</sup>) and changes in the mass loss rate of litter under different UV conditions during the experimental period<span>. 3- </span>The content of lignin, cellulose, C, N and P of litter under different UV conditions during the experimental period<span>. 4-</span></span><span> </span><span>16S ASVs under different UV conditions<span>. 5-</span></span><span> </span><span>ITS ASVs under different UV conditions.</span></p>
ADIPOQ Gene Variants (rs266729, rs2241766, rs1501299) and Acute Myocardial Infarction in Vietnamese Patients with Type 2 Diabetes Mellitus
<p>This data is from a study project about ADIPOQ Gene Variants (rs266729, rs2241766, rs1501299) and Acute Myocardial Infarction in Vietnamese Patients with Type 2 Diabetes Mellitus. The data contains information from 550 patients with their identification removed to ensure confidentiality.</p>
YY1 mutations disrupt corticogenesis through a cell type-specific rewiring of cell-autonomous and non-cell-autonomous transcriptional programs
<p>This supplementary data includes counts from bulk and pseudobulk omic experiments, h5ad for single-cell experiments, and outputs of differential expression and enrichments performed on different omics assays.</p>
ScienceDex guides
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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.