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114 results for “grain size”

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zenodo28/100

Grain size and geochemeical analysis in the Ghar El Melh Lagoon and the Medjerda River watershed

<p>Two piston cores were manually collected in the Ghar El Melh lagoon. These cores are 126 cm (GEM4) and 98 cm (GEM3) in length. A very high-resolution sedimentological analysis (granulometric and geochemical) was applied to these cores. Moreover, 29 surface sediment samples were collected from present-day soil horizons from the Medejerda watershed to the littoral area (beaches and dunes) to assess the origin and all sources of the lagoon sediment arriving in the study area. In the laboratory, granulometric and geochemical analyses were performed on these surface samples. The particle sizes obtained are classified according to Folk and Ward (1957) into three categories (clay &Phi; &lt;2&micro;m, silt 2&micro;m &lt;&Phi; &lt; 63&micro;m and sand &Phi; &gt; 63&micro;m).<br> &nbsp;</p>

opencc-by-4.0Nov 2021View details →
dryad28/100

Barley fasciated ear genes determine inflorescence meristem size and grain yield

<p>In flowering plants, the inflorescence meristem (IM) provides founder cells to form successive floral meristems, the precursors of fruits or seeds. Hence, the activity and developmental progression of IM are critical for yield production in cereal crops. IM size is positively associated with spikelet number in some major cereals, like rice (<em>Oryza sativa</em>) and maize (<em>Zea mays</em>). However, the relationship and regulatory mechanism between IM size and grain yield remain unknown in Triticeae tribe. Here, we report that IM size has a negative correlation with yield traits in barley (<em>Hordeum vulgare</em>), and three <em>FASCIATED EAR</em> (<em>FEA</em>) orthologs, <em>HvFEA2</em>, <em>HvFEA3</em>, and <em>HvFEA4</em>, regulates IM size and spike development and ultimately affect the grain yield. All three HvFEAs are highly expressed in developing spikes, and loss-of-function mutants exhibit enlarged IM size, shortened spike length and decreased spikelet number, which leads to the reduced grain yield. We further reveal that HvFEA4 potentially targets to multiple pathways during reproductive development, including transcriptional control, phytohormones signaling and redox status. Our findings uncover the roles of barley FEA genes in limiting IM size and promoting spikelet formation, which provides insights into yield improvement by manipulating IM activity.</p>

opencc-zeroMar 2022View details →
dryad28/100

A 520-year paleolimnological grain size and ITRAX record from Harvey Lake, New Brunswick, Canada

<p>This grain size data was derived from a 250 mm long gravity Glew Maxi core (HL-2017-GC-2) collected from near the mouth of Herbert's Cove, Harvey Lake, New Brunswick Canada (45°43'42.535" N; 67°01'23.739" W) at a water depth of 4.5 m.  The core was subsampled on-site at 2 mm resolution using a Glew core extruder before transport to Carleton University for subsequent analysis. Subsamples were analyzed using a Beckman Coulter LS 13 320 laser diffraction grain size analyzer equipped with a universal liquid module.  The resultant triplicate grain size data were averaged using a script within Matlab which generated the data archived here.  The data was then analyzed using End Member Mixing Analysis and three distinct end members were recognized EM01, Mode = 05 μm; EM02, Mode = 27μm; EM03, Mode = 58 μm). Subsequent radiocarbon dating revealed that deposition spanned the last 520 years of deposition. During this interval there were 12 major storms (EM03) and analysis of precipitation data from the Harvey climate station indicated that ~110 mm of rain was required for the deposition of EM01 in Harvey Lake. The deposition of EM02 was derived from the yearly spring freshet runoff.</p>

opencc-zeroSep 2022View details →
zenodo28/100

Figure 2 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model

Figure 2. Jackknifing test of variable importance in the development of the uncorrelated model at 250-m resolution. Blue bars indicate the gain achieved when including that predictor only. Green gray bars show how much the total gain is diminished without the given predictor. Red bar indicate the gain achieved when including all predictors.

opencc-by-4.0Dec 2015View details →
zenodo28/100

Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms

Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e).

opencc-by-4.0Dec 2022View details →
dryad28/100

Impact of dam height and grain size distribution on breaching of non-cohesive dams due to overtopping

<div> <p>The National Inventory of Dams reports 74,400 earthen dams in the United States in 2021; of these dams, approximately 27% are considered at high or significant hazard risk, that is dam failure will cause widespread damage and loss of lives. The most frequent cause of dam failure is breaching caused by overtopping. Accurate predictions of breach evolution are thus crucial to determine flood hydrographs for the safety of communities and properties at risk. Laboratory experiments were conducted on non-cohesive, compacted embankments to understand the role of dam height and sediment grain size on breaching caused by overtopping. Dam heights varied from 10 cm to 45 cm. Model structures were built with fine sand or with a mixture of fine sand and silt. Experiments showed that increasing dam height increases peak discharge. The presence of silt in model embankment material, on the contrary, lowers peak discharge and makes failure longer. In sand dams, sediment deposition on the downstream face becomes important as dam height increases. This deposition reduces incision rate of the breach channel, delaying time to peak and rapid channel widening. In all embankments, breach evolution was gradual until erosion of the breach channel reached the reservoir. Throughout the experiment, bank failure caused gradual widening of the breach channel. In presence of silt, no sediment deposition occurred on the downstream face, and time to peak increased with dam height because upstream migrating erosional waves formed in the breach channel, and the time for these waves to reach the reservoir increased with dam height. Breach channel widening associated with bank failure is practically non-existent until peak discharge is reached, then sudden widening caused by major failures occurs. Overall, breach width decreases with an increase in silt content.</p> </div>

opencc-zeroJul 2023View details →
zenodo28/100

Influence of grain size, organic carbon and organic matter residue content on the sorption of per-and polyfluoroalkyl substances in aqueous film forming foam contaminated soils-Implications for remediation using soil washing

<p>Supporting information from&nbsp;Influence of grain size, organic carbon and organic matter residue content on the sorption of per-and polyfluoroalkyl substances in aqueous film forming foam contaminated soils-Implications for remediation using soil washing</p>

opencc-by-4.0May 2023View details →
dryad28/100

A 520-year paleolimnological grain size and ITRAX record from Harvey Lake, New Brunswick, Canada

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publicOct 2022View details →
dryad28/100

Impact of dam height and grain size distribution on breaching of non-cohesive dams due to overtopping

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publicJul 2023View details →
dryad28/100

Hydrodynamic-driven changes in the source and composition of sedimentary organic matter via grain size distribution in shallow lakes

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publicNov 2021View details →
dryad28/100

Barley fasciated ear genes determine inflorescence meristem size and grain yield

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publicMar 2022View details →
nasa28/100

CLPX-Satellite: EO-1 Hyperion Surface Reflectance, Snow-Covered Area, and Grain Size, Version 1

This data set consists of apparent surface reflectance, subpixel snow-covered area, and grain size collected from the Hyperion hyperspectral imager. The Hyperion imager has a spectral range of 400-2500 nm, a spectral resolution of 10 nm, spatial resolution of 30 m, and a swath width of 7.8 km. Sampling is scene based (256 samples, 512 lines).

restrictednotspecifiedApr 2025View details →
nasa28/100

Delta-X: Sediment Core Grain Size Distribution, Wax Lake Delta, MRD, LA

This dataset provides grain size distribution measurements collected from sediment core samples on Mike Island in the Wax Lake Delta, Louisiana, as part of the Delta-X Spring campaign in March, 2021,and the Fall campaign during August, 2021. The data are for March 26 and 29, and August 18 and 24. Sediment cores were collected using a piston core, then volume-based grain size distribution for each sample was measured using a laser diffraction particle size analyzer. The data are provided in comma separated values (CSV) format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Delta-X: Bed and Suspended Sediment Grain Size, MRD, LA, USA, 2019-2021, V3

This dataset includes sediment concentration and grain size distribution measurements from suspended and bed sediment samples collected in the Atchafalaya River and Terrebonne Basins as part of the Delta-X Spring campaign between March 25 and April 2, 2021, and the Delta-X Fall campaign between August 17 and 22, 2021. In addition, ten samples were collected during a field campaign in October 2019. Samples were collected in the main channels and the interior of Mike Island in the Wax Lake Delta, Louisiana and at site CRMS0421 inside the Terrebonne Basin. Sediment samples were collected from a boat using a Van Dorn sampler (for suspended sediment samples) or a Ponar bed sampler (for bed samples). Suspended sediment samples were collected from a boat drifting at approximately the same velocity as the water flow. One sample was collected per drift. Bed samples were collected in a similar fashion. Data include measurements of sediment grain size distribution, total sediment concentration, water temperature, flow velocity, salinity, and depth. This Version 3 updates Version 2 to include data from more samples and reprocessed laser diffraction grain size distributions with optimized sediment optical properties. The data is provided in comma separated values (CSV) format.

restrictednotspecifiedApr 2025View details →
geo24/100

Enhanced sucrose loading improves rice yield by increasing grain size

GEO Series GSE74204. Oryza sativa. 12 samples. Type: Expression profiling by array.

openGEO-OpenOct 2015View details →
zenodo24/100

Recommended Centrifuge Method: Specific Grain Size Separation in the <63 μm Fraction of Marine Sediments

<p>Isolated grain size fractions using centrifuge of marine sediment samples for submitted manuscript: 'Recommended Centrifuge Method: Specific Grain Size Separation in the &lt;63 &mu;m Fraction of Marine Sediments'</p>

opencc-by-4.0Jan 2024View details →
zenodo24/100

hematite parameters variation with cation substitution and grain size

<p>&nbsp;Most of the data were digitized from the original studies. the related references are marked in the files.</p>

opencc-by-4.0Oct 2021View details →
zenodo24/100

Field Observations (2018; 2021), Grain-Size Measurements, and Componentry of the Cleetwood Eruption of Mount Mazama

<p>This dataset accompanies the paper &quot;Combining Eruption Source Parameters and High-Resolution Grain-Size Distributions of the 7.7 ka Cleetwood Eruption of Mount Mazama to Reveal Primary and Secondary Eruptive Processes&quot;.</p> <p>Version 2 includes High-resolution&nbsp;grain-size distributions&nbsp;spreadsheet (Cltwd_GSDs.xlsx)</p> <p>Wiejaczka and Giachetti, 2022</p>

opencc-by-3.0-usJan 2022View details →
zenodo24/100

Mixed eolian–longshore sediment transport in the late Paleozoic Arizona shelf and Pedregosa basin, USA: a case study in grain-size analysis of detrital-zircon datasets

<p>Detrital zircon and zircon grain size for &quot;Mixed eolian&ndash;longshore sediment transport in the late Paleozoic Arizona shelf and Pedregosa basin, USA: a case study in grain-size analysis of detrital-zircon datasets&quot; published in JSR.&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo24/100

Figure 7 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model

Figure 7. Location of the protected area containing goitered gazelle in central Iran.

opencc-by-4.0Dec 2015View details →

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