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70 results for “clumped”
◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H in Ramisyllis kingghidorahi n. sp., a new branching annelid from Japan
◂Fig. 10 Scanning electron microscopy images of Ramisyllis kingghidorahi n. sp., posterior-most regions and epithelium details. A–D Posterior ends. Arrow in C and D points to heavily ciliated anus. E– G Minute crests on the dorsal surface of midbody segments. Arrows point to crests laterally located on the dorsal surface. H Dorsal surface of posterior segments. I Clumps of cilia on dorsal surface of proventricular segments. Arrows pointing to pores in H. Scale bars: 100 µm A, B, I, 50 um C, G, 5 µm D, E,4 µm F, and 3 µm H
The R136 star cluster dissected with Hubble Space Telescope/STIS. III. The most massive stars and their clumped winds
<p>Supplemental material to 'The R136 star cluster dissected with Hubble Space Telescope/STIS. III. The most massive stars and their clumped winds'. This includes, for each star in the sample: a plot of the observed spectrum overlaid with best fitting models and fitness diagrams for all free parameters. Furthermore we include data (the normalised spectra used in the analysis, and best fitting models) and a basic reproduction package. </p>
Alteration of carbonate clumped isotope composition by burial heating in foreland sediments of the Himalaya- Raw data and tables
<p>The file "Raw_data" includes all raw data relevant to the study titled "Alteration of carbonate clumped isotope composition by burial heating in foreland sediments of the Himalaya". It contains four sheets:</p> <p>1- General information about data processing in our lab and the specific parameters for the analytical session relevant to this study.</p> <p>2-Raw data for all individual analyses of unknown samples.</p> <p>3-Raw data for all individual analyses of carbonate standards.</p> <p>4-Raw data for all individual analyses of CO2 gases.</p> <p>The file "complete data and tables" includes all tables in the manuscript and all data needed to create the figures in the manuscript. </p>
Clumped isotope measurements reveal aerobic oxidation of methane below the Greenland ice sheet
<p><strong><span>Archive Data</span></strong></p> <p><strong><span>Author(s)</span></strong></p> <p><span>Getachew Agmuas Adnew, Thomas </span><span>R</span><span>o</span><span>¨</span><span>c</span><span>kmann</span><span>,</span><span> </span><span>Thomas Blunier, Christian<span> </span>Juncher<span> </span>Jørgensen,<span> </span>Sarah<span> </span>Elise<span> </span>Sapper,<span> </span>Carina<span> </span>van<span> </span>der<span> </span>Veen,</span></p> <p><span>Malavika<span> </span>Sivan,<span> </span>Maria<span> </span>Elena<span> </span>Popa,<span> </span>Jesper<span> </span>Riis<span> </span><span>Christiansen</span></span><strong><span> </span></strong></p> <p><strong><span>Title</span></strong></p> <p><span>Clumped isotope measurements reveal aerobic oxidation of methane below the Greenland ice sheet</span></p> <p><strong><span>Description</span></strong></p> <p><span>Data collection related to the manuscript/paper " Clumped isotope measurements reveal aerobic oxidation of methane below the Greenland ice sheet".</span></p> <p><span> </span></p> <p><span>The data are the basis for figure 4, 5, 6,7 and 9, table 1 and supplementary figure 2 in manuscript/paper. The data is provided as an excel file as described below. </span></p> <p><em><span>Sheet 1</span></em><span>: Mass scan for clumped methane measurement cup configuration. This data set is used to produce figure 4. </span></p> <p><em><span>Sheet 2</span></em><span>: <span> </span>contains all data for the concentration and isotope composition of methane <span> </span>(bulk and clumped isotope) and the </span><span>𝛅</span><span>13C of carbon dioixed . These data is provided in Table 1 and used to produce Figure 5 <span> </span>to 7 and supplemetary figure 2</span></p> <p><em><span>Sheet 3</span></em><span>: Water isotope data of the subglacial melt water</span></p> <p><em><span>Sheet 4</span></em><span>: Data for end pont members used to produce Figure 9</span></p> <p><span> </span></p> <p><span>2.1 Site description</span></p> <p><span>The study site is located at an elevation of 450 m above sea level at a lateral subglacial meltwater outlet on the southern flank at the terminus of the Isunnguata Sermia Glacier at the western margin of the GrIS (67°09’16.40’’N 50°04’08.48’’W). </span></p> <p><span>The area in front of the meltwater outlet consists of abraded granodioritic gneiss bedrock with large boulders and patches of gravel, sand and silt deposited by meltwater. The glacier front contained highly irregular cracks and air-filled cavities, which changed over the season as the ice melted and deformed. </span></p> <p><span> </span></p> <p><span>2.2. Collection of air samples </span></p> <p><span>Air samples were collected in june 2022 from the ice cave using a small compressor that compressed ambient air into pre-evacuated 6 and 15 L volume canisters to a final pressure of 3 bar (Entech Instruments,USA) (Figure 2 and 3). The mole fraction of CH4 and CO2 in the air sampled was monitored with a microportable Greenhouse Gas Analyzer (MGGA) (GLA131-GGA, ABB-Los Gatos Research, San Jose, CA, USA). Background air was collected at the top of the glacier in 2 L volume stainless steel canisters.</span></p> <p><span> </span></p> <p><span>2.2. Collection of water samples </span></p> <p><span>We collected water samples from the subglacial meltwater at the margin of ISG for water isotope analysis in June 2022 between 12:00 and 15:00 (local time). The water samples were filtered using 0.45 µm pore size syringe filters and stored in an amber glass with a small headspace in a refrigerator prior to analysis. </span></p> <p><span> </span></p> <p><span>2.7 Isotopic analyses of gas and water samples</span></p> <p><span> </span></p> <p><span>The bulk isotope composition (δ13C(CH4) and δD(CH4)) and clumped isotopes (∆13CH3D and ∆12CH2D2) of CH4 were measured using a high-resolution gas source isotope ratio mass spectrometer (HR-IRMS) (Thermo Scientific, Germany) in dual inlet mode at Utrecht University. CH4 from air samples was extracted using cryogenic separation (see Figure 3). The extraction process employed two traps to remove CO2 and other condensable gases, followed by a charcoal trap to collect CH4, all operated at a temperature of liquid nitrogen (-196°C). Further purification of CH4 was achieved using a custom-made gas chromatography setup with two columns: a stainless steel column packed with molecular sieve to separate gases like H2, Ar, O2, and N2 and a second column packed with HayeSep-D porous polymer to separate CH4 from higher-order hydrocarbons such as C2H6 and C3H8.</span></p> <p><span> </span></p> <p><span>The isotopic composition of CO2 (δ13C) was analyzed with the CF-IRMS system at Utrecht University. In short, the CO2 is cryogenically separated from the air, further purified chromatographically, and then injected into the IRMS via an open split inlet. The results are related to the VPDB and VSMOW scales via a reference air cylinder with known isotopic composition. </span></p> <p><span> </span></p> <p><span>Water isotopes were measured at Physics of Ice and Climate (PIC), Niels Bohr Institute, University of Copenhagen, Denmark with a cavity ring-down spectroscopy (Picarro L2130, PICARRO, USA).</span></p>
Supplementary Dataset for "Experimental constraints on clumped isotope fractionation during BaCO3 precipitation"
<p>This supplementary dataset contains raw geochemical data used to generate figures in the article "Experimental constraints on clumped isotope fractionation during BaCO3 precipitation" by Guo et al. </p>
FIGURE 3. Pseudoxytenanthera stocksii. a. clump, b. culm, c in Pseudoxytenanthera madhavii (Poaceae: Bambusoideae), a new species of woody bamboo from the northern Western Ghats, India
FIGURE 3. Pseudoxytenanthera stocksii. a. clump, b. culm, c. culm and culm sheath, d. culm showing greyish tomentum and culm sheath showing reddish brown hairs, e. young culm shoot, f. three years old culm, g. leaves, h. outer side of culm sheath, i. inner side of culm sheath, j. transverse section of three year old culm at breast height showing semisolid feature.
FIGURE 1. Pseudoxytenanthera madhavii. a. clump, b. young shoots, c. leaves, d in Pseudoxytenanthera madhavii (Poaceae: Bambusoideae), a new species of woody bamboo from the northern Western Ghats, India
FIGURE 1. Pseudoxytenanthera madhavii. a. clump, b. young shoots, c. leaves, d. tip of the growing shoot showing culm sheath with wavy blade, e. culm sheath prominently showing blackish-brown hairs, f. three year old culms, g. culm sheath, h. transverse section of culms at breast height (1.3 m) showing large cavity and thin culm walls.
FIGURE 6. Chusquea guzmanii. A. Clumping bamboo, showing culms with different ages. B. Internode showing solid culm. C in Chusquea contrerasii and C. guzmanii (Poaceae, Bambusoideae, Bambuseae, Chusqueinae), two new endemic species from Jalisco, Mexico
FIGURE 6. Chusquea guzmanii. A. Clumping bamboo, showing culms with different ages. B. Internode showing solid culm. C. Internode showing hollow (fistulose) old culm. D. Culm fragment showing culm sheath and reflexed culm leaf blade (black arrow). E. Branch complement showing infravaginal branching development. F. Mid-culm showing branches and foliage leaves. G. Early development of synflorescence. H. Synflorescence showing spikeletes. Photos by Eduardo Ruiz-Sanchez.
Negative effects of the spatial clumping of thermal resources on lizard thermoregulation in a fragmented habitat
<p>Abstract of the manuscript associated to this dataset:</p> <p>In ecosystems threatened by the expansion of croplands, habitat fragmentation and climate change, two of the main extinction drivers, may have thermoregulationmediated interacting effects on demographic trends of terrestrial ectotherms. We studied the thermal biology of a metapopulation of the widespread Mediterranean lacertid Psammodromus algirus in fragments of evergreen or deciduous oak forests interspersed among cereal fields. We obtained thermoregulation statistics (selected temperature range, body and operative temperatures, thermal quality of the habitat, and precision, accuracy, and effectiveness of thermoregulation) that could be compared among fragments and with conspecific populations living in unfragmented habitat. We also measured the selection (use vs. availability) and spatial distribution of sunlit and shaded patches used for behavioral thermoregulation in fragments, and we estimated operative temperatures and thermal habitat quality in the agricultural matrix surrounding the fragments. Variation of the thermal environment was much larger within fragments than among them, and thermoregulation was accurate, precise, and efficient throughout the fragmented landscape; its effectiveness was similar to that of previously studied unfragmented populations. The average distance between sunlit and shaded patches was shorter in deciduous than in evergreen fragments, producing a more clumped distribution of the mosaic of thermal resources. Consequently, in evergreen habitat the cost of thermoregulation was higher, because lizards were more selective in their choice of sunlit sites (they used sunlit patches closer to shade and refuge than expected at random, and the extent of such selection was larger than at deciduous habitat). Temperatures available in croplands were too high to allow lizard dispersal, at least in the post-breeding season. This result confirms the role of croplands as a thermal barrier that promotes inbreeding in isolated fragments, and it forecasts a dark future for populations of forest lizards in agricultural landscapes under the combined effects of habitat fragmentation and global warming.</p>
Supplementary Dataset for "Fluid-mediated recrystallization induces clumped isotope resetting during aragonite dolomitization"
<p>This supplementary dataset contains raw XRD and isotopic data used to generate figure in the article "Fluid-mediated recrystallization induces clumped isotope resetting during aragonite dolomitization" by Guo et al. The XRD raw data files with xrdml suffix can be processed by the MDI Jade 6 software.</p>
Data from: Helper effects in the azure-winged magpie Cyanopica cyana in relation to highly-clumped nesting pattern and high frequency of conspecific nest-raiding
Open the record for dataset details and reuse information.
Precise distances, masses, ages and 3D velocities of ~140000 red clump stars
<p>We present a sample of $\sim$\,140,000 primary red clump (RC) stars of spectral signal-to-noise ratios higher than 20 from the LAMOST Galactic spectroscopic surveys, selected based on their positions in the metallicity-dependent effective temperature--surface gravity and color--metallicity diagrams, supervised by high-quality $Kepler$ asteroseismology data.<br> The stellar masses and ages of those stars are further determined from the LAMOST spectra, using the Kernel Principal Component Analysis method, trained with thousands of RCs in the LAMOST-$Kepler$ fields with accurate asteroseismic mass measurements. <br> The purity and completeness of our primary RC sample are generally higher than 80\,per cent.<br> For the mass and age, a variety of tests show typical uncertainties of 15 and 30\,per cent, respectively.<br> Using over ten thousand primary RCs with accurate distance measurements from the parallaxes of Gaia\,DR2, we re-calibrate the $K_{\rm s}$ absolute magnitudes of primary RCs by, for the first time, considering both the metallicity and age dependencies.<br> With the the new calibration, distances are derived for all the primary RCs, with a typical uncertainty of 5--10\,per cent, even better than the values yielded by the Gaia parallax measurements for stars beyond 3--4\,kpc.<br> The sample covers a significant volume of the Galactic disk of $4\,\leq\,R\,\leq\,16$\,kpc, $|Z|\,\leq\,5$\,kpc, and $-20\,\leq\,\phi\,\leq\,50^{\circ}$.<br> Stellar atmospheric parameters, line-of-sight velocities and elemental abundances derived from the LAMOST spectra and proper motions of Gaia\,DR2 are also provided for the sample stars.<br> Finally, the selection function of the sample is carefully evaluated in the color-magnitude plane for different sky areas.</p> <p>Details about the table:</p> <p> RA: Right ascension (degrees)<br> DEC: Declination (degrees)<br> GLON: Galactic longitude l (degrees)<br> GLAT: Galactic latitude b (degrees)<br> RV: Line-of-sight velocity (km/s)<br> ERR_RV: Uncertainty of line-of-sight velocity (km/s)<br> TEFF: Effective temperature (K)<br> ERR_TEFF: Uncertainty of effective temperature (K)<br> LOGG: Surface gravity<br> ERR_LOGG: Uncertainty of surface gravity<br> FEH: Metallicity<br> ERR_FEH: Uncertainty of metallicity<br> AFE: Alpha-to-iron abundance<br> ERR_AFE: Uncertainty of apha-to-iron abundance<br> AGE: Stellar age (Gyr)<br> ERR_AGE: Uncertainty of stellar age (Gyr)<br> MASS: Stellar mass (solar mass)<br> ERR_MASS: Uncertainty of stellar mass (solar mass)<br> J: 2MASS J band magnitude<br> ERR_J: Uncertainty of 2MASS J band magnitude<br> H: 2MASS H band magnitude<br> ERR_H: Uncertainty of 2MASS H band magnitude<br> KS: 2MASS Ks band magnitude<br> ERR_KS: Uncertainty of 2MASS Ks band magnitude<br> G: Gaia DR2 G band magnitude<br> ERR_G: Uncertainty of Gaia DR2 G band magnitude<br> BP: Gaia DR2 BP band magnitude<br> ERR_BP: Uncertainty of Gaia DR2 BP band magnitude<br> RP: Gaia DR2 RP band magnitude<br> ERR_RP: Uncertainty of Gaia DR2 RP band magnitude<br> EBV: E (B - V) (mag)<br> MKS: Absolute magnitude in Ks band<br> DISTANCE: distance (kpc)<br> ERR_DISTANCE: Uncertainty of distance (kpc)<br> PARALLAX: Gaia DR2 parallax (mas)<br> ERR_PARALLAX: Uncertainty of Gaia DR2 parallax (mas)<br> PMRA: Proper motion in R.A. (mas/yr)<br> ERR_PMRA: Uncertainty of proper motion in R.A. (mas/yr)<br> PMDEC: Proper motion in Dec. (mas/yr)<br> ERR_PMDEC: Uncertainty of proper motion in Dec. (mas/yr)<br> F_CMD: Selection fraction in color-magnitude diagram</p>
Fit summary of "X-Shooting ULLYSES: Massive Stars at low metallicity IX: Empirical constraints on mass-loss rates and clumping parameters for OB supergiants in the Large Magellanic Cloud"
Open the record for dataset details and reuse information.
X-ray spectrum of an arrangement of 8 clumps
<p>In Buchner et al. (in prep) computations of a X-ray obscurers of AGN are presented. Here the same simulation software, XARS, is applied to a crate of 3x3x3 clumps.</p> <p>See <a href="https://github.com/JohannesBuchner/xars">https://github.com/JohannesBuchner/xars</a> for more information.</p>
Text-fig. 39. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 3"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment, containing one kind of pollen; b, d, e) Pollen grains from stamen fragment in polar (b, d) and equatorial (e) views showing the long colpi with coarsely verrucate aperture membranes; note the semitectate-reticulate tectum in the mesocolpium regions and foveolate-punctate tectum in the polar regions and along the aperture margins; c) Detail of pollen wall showing smooth muri and short, densely-spaced columellae. Specimen, Catefica 49-S107785 (a–e). Scale bars = 600 Μm (a), 6 Μm (b, d, e), 1.5 Μm (c). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 39. Scanning electron microscope (SEM) images of "Pollen clump with tricolpate pollen sp. 3"; Catefica locality, Portugal. a) Pollen clump, probably an anther fragment, containing one kind of pollen; b, d, e) Pollen grains from stamen fragment in polar (b, d) and equatorial (e) views showing the long colpi with coarsely verrucate aperture membranes; note the semitectate-reticulate tectum in the mesocolpium regions and foveolate-punctate tectum in the polar regions and along the aperture margins; c) Detail of pollen wall showing smooth muri and short, densely-spaced columellae. Specimen, Catefica 49-S107785 (a–e). Scale bars = 600 Μm (a), 6 Μm (b, d, e), 1.5 Μm (c).
Dual clumped isotope analyses and model calculations constrain equilibrium, experimentally-manipulated kinetic isotope effects, and mixing effects in calcite
<p>Replicate data for standards and samples; XRD data. </p>
Extraction, purification, and clumped isotope analysis of methane (Δ13CDH3 and Δ12CD2H2) from different sources and the atmosphere
<p>This is the dataset needed to replicate the figures in the paper submitted to AMT.</p>
Global 500-m Foliage Clumping Index Data Derived from MODIS BRDF, 2006
This dataset provides global clumping index (CI) data for 2006 derived from the MODIS Bidirectional Reflectance Distribution Function (BRDF) data product. Clumping index is a key structural parameter of plant canopies which represents the degree of foliage grouping within distinct canopy structures relative to a random distribution. The data are provided at substantially higher resolution (500-m) than existing clumping index data products.
Clump sequencing exposes the spatial expression programs of intestinal secretory cells
GEO Series GSE154714. Mus musculus. 89 samples. Type: Expression profiling by high throughput sequencing.
Adaptive upregulation of Clumping Factor A (ClfA) by S. aureus in the obese, type 2 diabetic host mediates increased virulence
GEO Series GSE96040. Staphylococcus aureus. 6 samples. Type: Expression profiling by high throughput sequencing.
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