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57 results for “mass distribution”
The observed mass distribution of Galactic black hole LMXBs is biased against massive black holes
<p>Jupyter Notebook plus necessary data files to recreate the figures, the numbers reported, and a table in the publication.</p> <p>Also available at: <a href="http://arxiv.org/abs/2104.03596">http://arxiv.org/abs/2104.03596</a></p> <p> </p>
Body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.
<p>This dataset is about body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.</p> <p>Foraminiferal body size data collection</p> <p>First, we collected published papers with foraminiferal images from the Frasnian (382.7-372.2 Ma), Capitanian (264.28-259.51 Ma), Changhsingian (254.14-251.902 Ma), Rhaetian (208.5-201.3 Ma), and Maastrichtian (72.1-66.1 Ma). Second, we measured two primary axes of specimens, such as maximum length and height in a conical or cylindrical shell. For some specimens, where there is no way to measure the length of both axes, we calculate the length of the unknown axis based on the aspect ratio of the type species. Third, we used the test volume as a standard indicator of body size, taking into account the diversity of foraminiferal morphology. Finally, the test volumes were calculated on a logarithmic scale with base 10 due to large individual differences, and the specific calculation is shown in Feng et al. (2020).</p>
Fig. 4 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 4. UHPLC base peak ion chromatogram of CH2Cl2-soluble extract from leaves of Hyptis monticola. UHPLC-ESI-MS instrumental conditions: column C-18 (2.1 × 150 mm, 2 μm); mobile phase, gradient CH3CN:H2O; flow rate, 0.25 mL/min. Peaks assignments: tR 36.7 min =monticolide A (1); tR 27.6 min = monticolide B (2), tR 23.6 min = monticolide C (3); tR 29.6 min = monticolide D (4); tR 31.1 min = monticolide E (5); tR 19.1 min = monticolide F (6).
Fig. 6 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 6. Average for the relative quantification of monticolides A-F (1–6) in different plant organs (n = 15, mean with SD).
Fig. 3 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 3. Comparison of leaves extracts base peak chromatograms obtained with different solvents by UHPLC-ESI(+)-IT-MS. Analytical conditions: gradient mobile phase of CH3CN and 0.1% (v/v) aqueous formic acid; flow rate 0.25 mL/min; column C-18, 2.1 × 150 mm, 2 μm; sample concentration 0.5 mg/mL; mass spectrometry detection with ESI ionization in positive mode in the range of m/z 200 to 500. Peaks assignments: monticolides A-F, compounds 1–6.
Fig. 2 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 2. Recycling HPLC chromatogram for the separation of diacetylated monticolides B (2) and C (3) from the CCC fractions 8–12 (see, Fig. S1). Chromatographic conditions: mobile phase CH3CN; flow rate, 4.7 mL/min; NH2 column, 19 × 150 mm, 10 μm, DAD detector (290 nm); sample concentration, 30 mg/mL.
Fig. 5 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 5. PCA score plot of different extracts based on the relative abundances of total diagnostic ions for the distribution of monticolides A-F (1–6), which were registered by UHPLC-ESI(+)-IT-MS. Extracts prepared from flowers (HFL), leaves (HFO) and branches (HG). Codes were assigned according to the corresponding season and altitude as follows: HFL1, HFO1 and HG1-Spring collected at a low-altitude (1229 m) in 2013; HFL2, HFGO2 and HG2-winter collected at a low-altitude (1245 m) in 2017; HFL3, HFO3 and HG3-winter collected at a high-altitude (1310 m) in 2017; HFL4, HFO4 and HG4-summer collected at a low-altitude (1245 m) in 2018; and HFL5, HFO5 and HG5-summer collected at a high-altitude (1310 m) in 2018.
Fig. 2 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 2. Comparison of sample pretreatment methods for MALDI-MSI analysis. (A) Intensities of ion peaks corresponding to organic acids, sugars, and alkaloids in the three different sections using airbrush, iMLayer or combined methods for matrix application. Data represent the mean ± SE of intensities of ions at m/z 230.9, 381.0, 264.1 and 367.1 (n = 3), respectively. Photographs of DHB matrix material prepared by different methods: (B) Spray by airbrush, (C) Sublimation by iMLayer, (D) Spray after sublimation. Films and crystals observation were recorded under the light microscope (× 40).
Fig. 5 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 5. Distribution of the main coumarins in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 4. Distribution of the main alkaloids in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 1. Optical images of different tissue sections of Clausena lansium (Lour.) Skeels plants. (A) Fruit cross section, (B) Part of stem cross section, (C) Leaf cross section (magnification at 40x).
Data from: Ecological niche and phylogeny explain distribution of seed mass in the Central European flora
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The extraterrestrial dust flux: size distribution and mass contribution estimates inferred from the Transantarctic Mountain (TAM) micrometeorite collection
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Bivalve body size distribution through the Late Triassic mass extinction event
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Data from: Broad-scale genetic patterns of New Zealand abalone, Haliotis iris, across a distribution spanning 13° latitude and major oceanic water masses
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Data from: Distributions of mammals in Southeast Asia: the role of the legacy of climate and species body mass
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Data from: Taxonomic composition and body-mass distribution in the terminal Pleistocene mammalian fauna from the Marmes site, southeastern Washington state, U.S.A.
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Data from: Colonization of weakened trees by mass-attacking bark beetles: no penalty for pioneers, scattered initial distributions and final regular patterns
Bark beetles use aggregation pheromones to promote group foraging, thus increasing the chances of an individual to find a host and, when relevant, to overwhelm the defences of healthy trees. When a male beetle finds a suitable host, it releases pheromones that attract potential mates as well as other "spying" males, which results in aggregations on the new host. To date, most studies have been concerned with the use of aggregation pheromones by bark beetles to overcome the defences of living, well-protected trees. How insects behave when facing undefended or poorly defended hosts remains largely unknown. The spatio-temporal pattern of resource colonization by the European eight-toothed spruce bark beetle, Ips typographus, was quantified when weakly defended hosts (fallen trees) were attacked. In many of the replicates, colonization began with the insects rapidly scattering over the available surface and then randomly filling the gaps until a regular distribution was established, which resulted in a constant decrease in nearest-neighbour distances to a minimum below which attacks were not initiated. The scattered distribution of the first attacks suggested that the trees were only weakly defended. A minimal theoretical distance of 2.5 cm to the earlier settlers (corresponding to a density of 3.13 attacks/dm²) was calculated, but the attack density always remained lower, between 0.4 and 1.2 holes/dm², according to our observations.
Fig. 1. 6 in Distribution of 5,6-dihydro-α-pyrones by electrospray ionization ion trap mass spectrometry in different aerial parts of Hyptis monticola
Fig. 1. 6-Heptyl-5,6-dihydro-2H-pyran-2-ones, monticolides A-F (1–6), isolated from H. monticola.
Fig. 3 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 3. MALDI-MS spectrum of C. lansium fruit extract in positive ion mode.
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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.