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12,662 results for “linking”
FIGURE 7. Austroniscus brandtae n in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 7. Austroniscus brandtae n. sp.; A–C, holotype male (SMF 57927, R4B), D–H, paratype male (SMF 57929, R4D). A, habitus, dorsal view. B, Antenna articles 1–4, ventral view. C, Pereonite 1 coxa, ventral view. D, Antennula. E, Pleopod I, detail: lateral lobe and distal margin. F, Pleopod II. G, Pereopod I, detail: ungius. H, Uropod. Scale bar: A = 200 µm, D, H = 500 µm, E–G = 100 µm.
FIGURE 5. Haplotype network for Austroniscus brandtae n in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 5. Haplotype network for Austroniscus brandtae n. sp. for the mitochondrial ribosomal large subunit 16S. Sampled haplotypes are shown as solid circles with circle area proportional to the number of individuals possessing that haplotype; black circles represent unsampled haplotypes required to connect the network. The number of mutational steps between haplotypes are shown along connecting lines. The colours represent sampling locations as indicated in the legend.
FIGURE 3 in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 3. Bayesian phylogenetic tree of Austroniscus Vanĥffen, 1914 (Crustacea, Isopoda) lineages based on the mitochondrial ribosomal large subunit 16S, with molecular species delimitations shown as black bars.
FIGURE 4. Haplotype network for Austroniscus brandtae n in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 4. Haplotype network for Austroniscus brandtae n. sp. for COI (cytochrome c oxidase subunit I). Sampled haplotypes are shown as solid circles with circle area proportional to the number of individuals possessing that haplotype; black circles represent unsampled haplotypes required to connect the network. The number of mutational steps between haplotypes are shown along connecting lines. The colours represent sampling locations as indicated in the legend.
FIGURE 2 in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 2. Bayesian phylogenetic tree of Austroniscus Vanĥffen, 1914 (Crustacea, Isopoda) lineages based on the cytochrome c oxidase subunit I gene (COI), with molecular species delimitations shown as black bars.
FIGURE 1. A in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench
FIGURE 1. A) Global distribution of Austroniscus Vanĥffen, 1914 (Crustacea, Isopoda) species (only type localities shown); 1) A. acutus Birstein, 1970; 2) A. chelus Kaiser & Brandt, 2007; 3) A. brandtae Kaiser, Stransky & Brix n. sp.; 4) A. coronatus Schiecke & Modigh-Tota, 1976*; 5) A. groenlandicus Hansen, 1916*; 6) A. karamani Birstein, 1962; 7) A. norbi Svavarsson, 1982; 9) A. ovalis Vanĥffen, 1914*; 10) A. rotundatus Vanĥffen, 1914*; 11) A. vinogradovi Gurjanova, 1950; *the exact coordinates of the type locality were not given in the description of these species, therefore the position shown is assumed here on the basis of the original literature. B) Map of the sampling area of Austroniscus brandtae Kaiser, Stransky & Brix n. sp. in the Puerto Rico Trench abyss and hadal.
Code and Data for "AC Josephson effect in a gate-tunable Cd3As2 nanowire superconducting weak link"
<p>This data set contains Python code to evaluate Shapiro maps and the measurement data, its metadata as well as figures used for the publication "AC Josephson effect in a gate-tunable Cd<sub>3</sub>As<sub>2</sub> nanowire superconducting weak link".</p>
data for Multi-tissue H3K27ac profiling of GTEx samples links epigenomic variation to disease
<p>processed data for "Multi-tissue H3K27ac profiling of GTEx samples links epigenomic variation to disease"</p>
Data for the paper Evaluation of error components in rainfall retrieval from collocated commercial microwave links
<p>The published data for the paper includes rain-induced attenuation and rainfall intensities for commercial microwave links.</p> <p>The data are stored in text files. Timestamps are in UTC time in format yyyy-mm-dd HH:MM:SS. The data are at 1-min temporal resolution.</p> <p>Metadata can be found in the paper (Appendix A: Metadata table of CMLs): Špačková, A., Fencl, M., and Bareš, V.: Evaluation of error components in rainfall retrieval from collocated commercial microwave links, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-340, in review, 2023.</p> <p>The repository contains 2 folders (rain-induced attenuation and rainfall intensities) and Read_me file.</p>
Biology of Sex Differences Sex-linked differences in cardiac atrophy after mechanical unloading induced by heterotopic heart transplantation
<p>GraphPad prism dataset to support - Biology of Sex Differences Sex-linked differences in cardiac atrophy after mechanical unloading induced by heterotopic heart transplantation</p>
Dataset for "Linking water markets with payments for watershed services: the eastern route of China's South-North Water Transfer Project".
<p>This dataset is the program for the article "Linking water markets with payments for watershed services: the eastern route of China's South-North Water Transfer Project".</p>
Stepwise modifications of transcriptional hubs link pioneer factor activity to a burst of transcription
<p>This dataset includes the raw imaging data and custom codes related to the publication: Stepwise modifications of transcriptional hubs link pioneer factor activity to a burst of transcription, Nat. Commun., 2023.</p>
Fig. 2 in Agrocinopine C, a Ti-plasmid-coded enzyme-product, is a 2-O, 6-O linked phosphodiester of D-Glucose and sucrose
Fig. 2. Diffuse reflectance mid infra-red spectrum of agrocinopine C. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Agrocinopine C, a Ti-plasmid-coded enzyme-product, is a 2-O, 6-O linked phosphodiester of D-Glucose and sucrose
Fig. 4. Bioassay detection of agrocinopine C. The left plate shows detection of agrocinopine C in the pH 1.7, anionic paper electrophoretogram segment marked C, by its induction of antibiotic activity in the normally insensitive K478 (syn. A281) overlay, from a source of agrocin 84 produced by the chloroformsterilised, colony of R. rhizogenes strain K84 grown at the centre of both plates. The radius of the normal toxic concentration range of agrocin 84 extends approximately to the location of the paper squares. The right plate demonstrates that glucose 2-phosphate (square A) induces no detectable sensitivity to agrocin 84, glucose 6-phosphate (square B) no detectable sensitivity and purified agrocinopine C (C) induces a very strong uptake of the antibiotic. It is noteworthy that unlike agrocinopine A, which extends the inhibition zone perimeter (Ellis and Murphy, 1981; Ryder et al., 1984) beyond the squares, agrocinopine C only induces sensitivity inwards towards the original agrocin 84 producer colony.
Fig. 3 in Agrocinopine C, a Ti-plasmid-coded enzyme-product, is a 2-O, 6-O linked phosphodiester of D-Glucose and sucrose
Fig. 3. Relative electrophoretic mobilities (RmDNBS) of ribose-5-P (triangle; pKa1 =1.32, pKa2 =6.58), agrocinopine C (circle) and agrocinopine D (square) between pH 1.7 and 10.
Fig. 5 in Agrocinopine C, a Ti-plasmid-coded enzyme-product, is a 2-O, 6-O linked phosphodiester of D-Glucose and sucrose
Fig. 5. (a) 31P NMR signals for agrocinopine C, α/β pyranosyl anomers (-2.80 ppm), α/β furanosyl anomers (-3.24 ppm) and the aldehyde anomer and/or its hydrate (-4.03 ppm). No evidence for a detectable amount of the hydrated aldehyde as a separate 6th signal was observed in these 31P NMR observations. Peaks at -3.09 and -3.12 ppm are not correlated to any agrocinopine C protons by 31P gHMBC. (b) Agrocinopine C31P NMR signals collapse to a singlet after borohydride reduction (-1.55 ppm).
ADAR1 Links R-Loop Homeostasis to ATR Activation in Replication Stress Response
<p>Unscheduled R-loops are a major source of replication stress and DNA damage. R-loop-induced replication defects are sensed and suppressed by ATR kinase, whereas it is not known whether R-loop itself is actively involved in ATR activation and, if so, how this is achieved. Here, we report that the nuclear form of RNA-editing enzyme ADAR1 promotes ATR activation and resolves genome-wide R-loops, a process that requires its double-stranded RNA-binding domains. Mechanistically, ADAR1 interacts with TOPBP1 and facilitates its loading on perturbed replication forks by enhancing the association of TOPBP1 with RAD9 of the 9-1-1 complex. When replication is inhibited, DNA-RNA hybrid competes with TOPBP1 for ADAR1 binding to promote the translocation of ADAR1 from damaged fork to R-loop region. There, ADAR1 recruits RNA helicases DHX9 and DDX21 to unwind R-loops, simultaneously allowing TOPBP1 to stimulate ATR more efficiently. Collectively, we propose that the tempo-spatially regulated assembly of ADAR1-nucleated protein complexes link R-loop clearance and ATR activation, while R-loops crosstalk with blocked replication forks by transposing ADAR1 to finetune ATR activity and safeguard the genome.</p>
Fig. 6. Structural relationships for agrocinopine C in Agrocinopine C, a Ti-plasmid-coded enzyme-product, is a 2-O, 6-O linked phosphodiester of D-Glucose and sucrose
Fig. 6. Structural relationships for agrocinopine C and its various anomeric equilibria. The presence of the aldehyde anomer and/or its hydrate and α/β pyranosyl and α/β furanosyl anomers is consistent with the three signals detected in the 31P NMR and five anomeric proton signals observed in the 1H NMR (Table 2, Table S1). (ChemBioDraw, 2014).
Dataset for: Porous Self-assemblies Mediated by Dumbbell Particles as Cross-linking Agents
<p>Input files (.py format) to perform Langevin dynamics simulations of binary mixtures of lobed colloidal particles using Hoomd-Blue 2.9.7, and respective trajectory files (.gsd format).</p>
Dataset for the paper: Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers
<p><strong>Dataset</strong></p> <p>This dataset contains the input and output examples used in the publication described below. The hyperspectral folder contains the first example and use case. The spatiotemporal folder contains the second example use case.</p> <p><strong>Contents</strong></p> <p>data/<br> ├── hyperspectral<br> │ ├── VeloxTest-Membranes.emd<br> │ └── example_output<br> │ ├── simulator-0-VeloxTest-Membranes.emd<br> │ ├── simulator-0-VeloxTest-Membranes.json<br> │ └── simulator-0-VeloxTest-Membranes.png<br> └── spatiotemporal<br> ├── 2023081040-700kx MultiFrams 991ms 600F Counting & FFI mode Falcon 700 kx 1819.emd<br> ├── best-yolo.pt<br> └── example_output<br> ├── prediction-simulator-17-2023081040-700kx MultiFrams 991ms 600F Counting & FFI mode Falcon 700 kx 1819.mp4<br> ├── simulator-17-2023081040-700kx MultiFrams 991ms 600F Counting & FFI mode Falcon 700 kx 1819.emd<br> ├── simulator-17-2023081040-700kx MultiFrams 991ms 600F Counting & FFI mode Falcon 700 kx 1819.json<br> └── simulator-17-2023081040-700kx MultiFrams 991ms 600F Counting & FFI mode Falcon 700 kx 1819.mp4<br> </p> <p><strong>Source Code</strong><br> Our code is hosted on GitHub at the following link: <a href="https://github.com/ramanathanlab/PicoProbeDataFlow/tree/main">https://github.com/ramanathanlab/PicoProbeDataFlow/tree/main</a><br> <br> <strong>Paper Name</strong><br> Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers<br> <br> <strong>Paper Abstract</strong><br> The Dynamic PicoProbe at Argonne National Laboratory is undergoing upgrades that will enable it to produce up to 100s of GB of data per day. While this data is highly important for both fundamental science and industrial applications, there is currently limited on-site infrastructure to handle these high-volume data streams. We address this problem by providing a software architecture capable of supporting large-scale data transfers to the neighboring supercomputers at the Argonne Leadership Computing Facility. To prepare for future scientific workflows, we implement two instructive use cases for hyperspectral and spatiotemporal datasets, which include: (i) off-site data transfer, (ii) machine learning/artificial intelligence and traditional data analysis approaches, and (iii) automatic metadata extraction and cataloging of experimental results. This infrastructure supports expected workloads and also provides domain scientists the ability to reinterrogate data from past experiments to yield additional scientific value and derive new insights.</p>
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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.