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Figure 4 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 4 Female genitalia of N. kosodensis stat. nov. from Odaki area. a, c Epigyne, ventral view b, d vulva, dorsal view. Scale bars: 0.2 mm.
Figure 3 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 3 Male palp of N. kosodensis stat. nov. (illustrated): a ventral view b dorsal view c ventro-retrolateral view d retrolateral view e ventro-prolateral view. Scale bars: 0.2 mm.
Figure 2 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 2 Male palp of N. kosodensis stat. nov. from Odaki area: a ventral view b dorsal view c ventro-retrolateral view d retrolateral view e ventro-prolateral view. Scale bars: 0.2 mm.
Figure 10 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 10 Distribution of Nesticus kosodensis stat. nov. (green dots) and N. latiscapus (red dots) in Japan. Stars show the type localities of the species.
Figure 1 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 1 Habitus of Nesticus kosodensis stat. nov. and N. latiscapus. a, bN. kosodensis stat. nov. adult male c ditto, adult female dN. latiscapus, adult male e ditto, adult female. Scale bars: 1 mm.
Figure 7 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 7 Female genitalia of N. latiscapus from Saiko Bat Cave. a, c Epigyne, ventral view b, d vulva, dorsal view. Scale bars: 0.2 mm.
Figure 6 from: Suzuki Y, Ballarin F (2020) Nesticus kosodensis Yaginuma, 1972 bona species. Molecular and morphological separation from N. latiscapus Yaginuma, 1972 with notes on cave scaffold-web spiders subspecies in Japan (Araneae, Nesticidae). Subterranean Biology 35: 79-96. https://doi.org/10.3897/subtbiol.35.53933
Figure 6 Male palp of N. latiscapus (illustrated). a Ventral view b dorsal view c ventro-retrolateral view d retrolateral view e ventro-prolateral view. Scale bars: 0.2 mm.
NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)
<p>This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells <a href="https://www.biorxiv.org/content/10.1101/749754v1">https://www.biorxiv.org/content/10.1101/749754v1</a> (doi 10.1371/journal.pcbi.1008193), part of the training data comes from <a href="https://www.kaggle.com/c/data-science-bowl-2018">https://www.kaggle.com/c/data-science-bowl-2018</a></p>
Composite amine mixed matrix membranes for highpressure CO2-CH4 separation: synthesis, characterization and performance evaluation
<p>The key challenge in composite mixed matrix membrane (MMMs) synthesis is the incompatible membrane fabrication using porous support in the dry-wet phase inversion technique. The key objective of this research to synthesis thin composite ternary (amine) mixed matrix membranes on microporous support by incorporating 10 wt. % of carbon molecular sieve (CMS) and 5-15 wt. % of diethanolamine (DEA) in polyethersulfone (PES) dope solution for the separation of carbon dioxide (CO<sub>2</sub>) from methane (CH<sub>4</sub>). The developed membranes were evaluated for their morphological structure, thermal and mechanical stabilities, functional groups, as well as the CO<sub>2</sub>-CH<sub>4</sub> separation performance at high pressure (10-30 bar). The results showed that the developed membranes have asymmetric structure, and mechanically strong at 30 bar. A new class of PES/CMS/DEA composite MMMs exhibited improved gas permeance compared to pure PES composite polymeric membrane. The permselectivty of CO<sub>2</sub>/CH<sub>4</sub> enhanced from 8.15 to 16.04 at 15 wt.% of DEA at 30 bar pressure. The performance of amine composite MMMs is theoretically predicted using a modified Maxwell model. The predictions were in good agreement with experimental data after applying the optimized values with AARE % = ~ less 2 % and R<sup>2</sup> = 0.99.</p>
Genome sequencing of P. tricornutum mother and daughter cultures derived from single cell and separated by 30 days of proliferation - processed datasets
<p><strong>Genome sequencing of <em>P. tricornutum</em> mother and daughter cultures derived from single cell and separated by 30 days of proliferation - processed datasets.</strong></p> <p>Raw data for this experiment are available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA658224.</p> <p> </p> <p><strong>Please note that the naming of files differs from the general description on /www.ncbi.nlm.nih.gov/bioproject website and in related publication:</strong></p> <p>Instead of MC1-3, the processed datasets are labelled Sc1-3</p> <p>Instead of DC1.1; DC1.2 and DC1.3, the processed datasets are labelled Sc11, Sc12 and Sc14 respectively</p> <p>Instead of DC2.1; DC2.2 and DC2.3, the processed datasets are labelled Sc21, Sc22 and Sc24 respectively</p> <p>Instead of DC3.1; DC3.2 and DC3.3, the processed datasets are labelled Sc31, Sc32 and Sc33 respectively</p> <p><strong>Available datasets: </strong></p> <p><em>.bam</em> files with ILLUMINA reads aligned to the reference P. tricornutum v2 genome used for SNP calling </p> <p><em>.vcf</em> files for individual samples with SNPs called using GATK3.7.0</p> <p><em>joint_genotyping_cohort.vcf</em> file with SNPs called jointly for all samples using GATK4.2.1 </p> <p> </p> <p><strong>Description of the experiment:</strong> </p> <p>Whole-genome Illumina sequencing of mother and daughter cultures derived from single cell to reveal genomic changes occurring within 30 day time frame. Three independent single cells were isolated from CCAP 1055/1 culture (sample label: Pt1) to start mother cultures (MC1; MC2; MC3 . On day 30 after mother culture isolation (T1 time point), three daughter cells were isolated from each mother culture forming cultures DC11-DC33. Part of mother cultures and CCAP 1055/1 culture were harvested at T1 (Samples: Pt1T1; MC1T1; MC2T1; MC3T1) . After another 30 days (T2 time point), all cultures were harvested (Samples: Pt1T2; mother culture MC1T2 and respective daughter cultures DC11, DC12 and DC13 ; mother culture MC2T2 and respective daughter cultures DC21, DC22 and DC23; mother culture MC3T1 and respective daughter cultures DC31, DC32, DC33).</p>
An experimental test to separate the effects of male age and mating history on female mate choice
<p>Should females prefer older males as mates? Male survival to old age might indicate the presence of fitness-enhancing genes that increase offspring fitness. However, many correlational studies show that mating with older males can lower female fecundity, and even reduce offspring fitness due to epigenetic or germline mutation effects. One problem in quantifying female choice based on male age is that age is usually confounded with mating history. This begs a question: Do females choose males based on their age, or their mating history? The answer requires an experimental approach, but few such studies exist. Here we test if experimentally-induced variation in the mating history of old and young males (12 week difference in post-maturity age) affects female choice in the eastern mosquitofish (<i>Gambusia holbrooki</i>). To vary mating history, adult males were either allowed to freely mate with females for three weeks, or they only had visual contact with females. Immediately thereafter, we ran four-choice mating trials, using association time, to test the effects of male age and mating history (2x2 design) on male attractiveness. Females did not show a clear preference for males based on either characteristic. This was not due to a lack of female choice: females spent significantly more time with larger males. In addition, female choice was significantly repeatable across four trials: twice as a virgin, twice as a non-virgin. Finally, female mating status (virgin or non-virgin) did not affect her choice of mate, although virgin females spent significantly more time associating with test males.</p>
Data from: Putative chromosomal rearrangements are associated primarily with ecotype divergence rather than geographic separation in an intertidal, poorly-dispersing snail
<p class="western"><span><i>Littorina saxatilis</i> is becoming a model system for understanding the genomic basis of ecological speciation. The parallel formation of crab-adapted ecotypes that exhibit partial reproductive isolation from wave-adapted ecotypes has enabled genomic investigation of conspicuous shell traits. Recent genomic studies suggest that chromosomal rearrangements may enable ecotype divergence by reducing gene flow. However, the genomic architecture of traits that are divergent between ecotypes remains poorly understood. Here, we use 11,504 single nucleotide polymorphism (SNP) markers called using the recently-released <i>L. saxatilis</i> genome to genotype 462 crab ecotype, wave ecotype, and phenotypically-intermediate <i>L. saxatilis</i> individuals with scored phenotypes. We used redundancy analysis to study the genetic architecture of loci associated with shell shape, shape corrected for size, shell size, and shell ornamentation, and to compare levels of co-association among different traits. We discovered 341 SNPs associated with shell traits. Loci associated with trait divergence between ecotypes were often located inside putative chromosomal rearrangements recently characterized in Swedish <i>L. saxatilis</i>. In contrast, we found that shell shape corrected for size varied primarily by site rather than by ecotype and showed little association with these putative rearrangements. Together, these results reveal that genomic regions of elevated divergence with putative rearrangements are associated with divergence along steep environmental axes in <i>L. saxatilis</i><span> ecotypes</span>, consistent with models of adaptation with gene flow, but these regions are distinct from genomic architecture associated with site-specific variation. Our findings here further support predictions from models indicating the importance of genomic regions of reduced recombination allowing co-association of loci during ecological speciation with ongoing gene flow.</span></p>
Matlab Algorithm for Systematic Vertical Separation Measurements of Tectonic Fault Scarps
<p>We have studied the topography along the Lost River Fault in Idaho (USA) and in particular the rupture zone generated by the strong 1983 Borah Peak earthquake (M<sub>w</sub> 6.9) almost 40 years after its occurrence. Our first reason for acquiring these data was to systematically measure vertical separation (VS) along the fault.<br> To do this we have developed and implemented a scarp analysis algorithm in MATLAB (www.mathworks.com) which enables users to measure the vertical separation from a topographic profile. The code constructs a topographic profile along the preferred trend (generally perpendicular to the fault trace) and projects the best-fit lines to each of the hanging wall and footwall flat to the fault location. The vector difference between the intersection of these lines with a vertical plane at the fault location is the vertical separation. Please see the code guide for additional detail. </p>
Figure 5 in Morphological and molecular separation between Macrocamptoptera grangeri Soyka and M. metotarsa (Girault) (Hymenoptera: Mymaridae)
Figure 5. Maximum likelihood phylogeny elucidating relationships of the three nominal Macrocamptoptera species based on the combined molecular analysis of mitochondrial DNA COI barcode, COI NJ as well as 18S, 28S nuclear ribosomal gene regions. Numbers associated with branches indicates measured support values above 50 of 1000 bootstrap replicates. Species are associated with molecular voucher D numbers of J. M. Heraty Laboratory.
Figure 3 in Morphological and molecular separation between Macrocamptoptera grangeri Soyka and M. metotarsa (Girault) (Hymenoptera: Mymaridae)
Figure 3. Macrocamptoptera grangeri, female (Jurský Šúr [Nature Reserve], Bratislava Region, Slovakia): (a) antenna; (b) body; (c) fore and hind wings; (d) head (frontal view).
Figures 4-5 from: Souza RCR, Pompeu PS (2020) Ecological separation by ecomorphology and swimming performance between two congeneric fish species. Zoologia 37: 1-8. https://doi.org/10.3897/zoologia.37.e47223
Figures 4-5 (4) Projection of the first two axes of Principal Component Analysis (PCA) for the two species Characidium fasciatum and Characidium cf. zebra. (5) Relationship between RAPtF (Relative area of the pectoral fin) and the regression residuals between standard length (cm) and velocity (m/s) for both species Characidium fasciatum (C.fas) and Characidium cf. zebra (C.zeb).
Figures 2-3 from: Souza RCR, Pompeu PS (2020) Ecological separation by ecomorphology and swimming performance between two congeneric fish species. Zoologia 37: 1-8. https://doi.org/10.3897/zoologia.37.e47223
Figures 2-3 (2) Comparison between the relative velocities (length . s-1) obtained for each species of Characidium in the tests of swimming capacity. Middle point represents Median, Box value are the percentiles and the Whisker-value is minimum and maximum values. (3) Relation between standard length (cm) and velocity (m.s-1) for Characidium fasciatum (C.fas) and Characidium cf. zebra (C.zeb) species.
Coarse-grained simulations of a phase-separated membrane with different LINCS settings (part 2/3)
<p>systems with lincs_iter = 2. To be written.</p>
Coarse-grained simulations of a phase-separated membrane with different LINCS settings (part 1/3)
<p>systems with lincs_iter = 1. To be written.</p>
Coarse-grained simulations of a phase-separated membrane with different LINCS settings (part 3/3)
<p>Additional simulations with lincs_order 10 & 12</p>
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.