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852 results for “grain”
Figure 1 in Assessment of Management Options on StrigQ Infestation and Maize Grain Yield in Kenya
Figure 1. Mean number of emerged S. hermonthicQ plants at 8, 10, and 12 wk after planting (WAP) for four cropping systems under artificial (A) and natural (B) S. hermonthicQ infestation for 3 yr (2011–2013). The whiskers represent SEs.
Fig. 5 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 5. β-glucan content and hydrothermal coefficient of phase 1 and 2 for cultivars A: D – 'Laima', B – 'St.Darta', A – 'Arta', E – 'Cwal', L – 'Scorpion', F – 'Pergamon', 1 – HTC1, 2 – HTC2.
Fig. 3 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 3. Crude fat content and hydrothermal coefficient of phase 1 and 2 for cultivars A: B – 'St.Darta', D – 'Laima', E – 'Cwal', A – 'Arta', F – 'Pergamon', C – 'St.Liva', 1 – HTC1, 2 – HTC2.
Fig. 2 in The Impact Of Hydrothermal Conditions During Vegetation Period On Grain Quality Traits Of Oat
Fig. 2. Crude protein content and hydrothermal coefficient of phase 1 and 2 for cultivars B: K – 'Ingeborg', F – 'Pergamon', H – 'Duffy', L – 'Scorpion', J – 'Kerstin', G – 'Corona', 1 – HTC1, 2 – HTC2.
Figure 4 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 4. Mortality (%) of T. granarium grubs exposed to Metarhizium anisopliae at different concentrations. Different letters above the bars represent the significant difference at P=0.05.
Figure 5 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 5. Mortality (%) of T. granarium grubs exposed to Isaria fumosoroseus at different concentrations. Different letters above the bars represent the significant difference at P=0.05.
Figure 3 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 3. Mortality (%) of T. granarium grubs exposed to Immersion and Food mix method at a conidial concentration of 1x108. Different letters above the bars represent the significant difference at P=0.05.
Figure 7 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 7. Mortality (%) of T. granarium grubs exposed to three different fungal strains at different conidial concentrations. Different letters above the bars represent the significant difference at P=0.05.
Figure 2 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 2. Mortality (%) of T. granarium grubs exposed to food mix method at 1x108 conidia mL-1. Different letters above the bars represent the significant difference at P=0.05.
Figure 1 in A comparative study on the virulence of entomopathogenic fungi against Trogoderma granarium (Everts) (Coleoptera: Dermestidae) in stored grains rice
Figure 1. Mortality (%) of T. granarium grubs exposed to immersion method at 1x108 conidia mL-1. Different letters above the bars represent the significant difference at P=0.05.
SkyScan 1172 µCT dataset of grains
<p>This is a micro-CT dataset obtained from SkyScan 1172. A collection of grains were imaged with a total of 996 projections. Metadata needed for reconstruction are included in jyvat.log. The projections are in TIFF-format (16-bit unsigned integers, single channel). This data can also be used as an example data with the OMEGA software.</p> <p>Flat field correction has been most likely applied to the projections, but it is unknown if other corrections has been applied. No flat value is included.</p>
Fig. IV in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. IV (1–4). Comparisons of antennal sensilla between Trogoderma species and sexual genders. 1. Male and female sensilla of T. granarium; 2. Male and female sensilla of T. variabile; 3. Male antenna of T. granarium and T. variabile; and 4. Female antenna of T. granarium and T. variabile.
Fig. II in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. II (1–9). Antennal sensilla of T. granarium. 1. SC1: sensilla chaetica 1 bar = 5.0 μm; 2. SC2: sensilla chaetica 2, bar = 15.0 μm; 3. SC3: sensilla chaetica 3, bar = 17.2 μm; 4. SB1: sensilla basiconica 1, bar = 2.0 μm; 5. SB2: sensilla basiconica 2, bar = 3.0 μm; 6. SB3: sensilla basiconica 3, bar = 3.0 μm; 7. SB4: sensilla basiconica 4, bar = 2.0 μm; 8. SB5: sensilla basiconica 5, bar = 2.5 μm; and 9. BB: Böhm bristles, bar = 2.3 μm.
Fig. I in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. I (1–4). Full views of antenna of T. granarium and T. variabile. 1. Antenna of female T. granarium; 2. Antenna of male T. granarium; 3. Antenna of female T. variabile;and 4. Antenna of male T. variabile.
Fig. III (1–9). Antennal sensilla of T. variabile. 1. SC1: sensilla chaetica 1, bar = 3.0 μm; 2. SC2: sensilla chaetica 2; SC3: sensilla chaetica 3, bar = 8.6 μm; 3. SC2: sensilla chaetica 2, bar = 15 μm; 4. SC3: sensilla chaetica 3, bar = 15.0 μm; 5. SB1: sensilla basiconica 1, bar = 3.0 μm; 6. SB2: sensilla basiconica 2, bar = 4.3 μm; 7. SB5: sensilla basiconica 5, bar = 4.3 μm; 8. SCo: sensilla coeloconica, bar = 1.5 μm; and 9. BB: Böhm bristle, bar = 6.0 μm. in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. III (1–9). Antennal sensilla of T. variabile. 1. SC1: sensilla chaetica 1, bar = 3.0 μm; 2. SC2: sensilla chaetica 2; SC3: sensilla chaetica 3, bar = 8.6 μm; 3. SC2: sensilla chaetica 2, bar = 15 μm; 4. SC3: sensilla chaetica 3, bar = 15.0 μm; 5. SB1: sensilla basiconica 1, bar = 3.0 μm; 6. SB2: sensilla basiconica 2, bar = 4.3 μm; 7. SB5: sensilla basiconica 5, bar = 4.3 μm; 8. SCo: sensilla coeloconica, bar = 1.5 μm; and 9. BB: Böhm bristle, bar = 6.0 μm.
Experimental data related to the publication: "In-situ analysis of the effect of residual fcc phase and special grain boundaries on the deformation dynamics in pure cobalt"
<p>The article figures were produced solely from these data sets employing data processing methods described therein. For experimental conditions and naming conventions please refer to the paper.</p> <p><br>1. Deformation data files contained within "deformation_data.zip":</p> <p>The .zip archive contains five files related to five samples of thermally treated cobalt:<br>def_co600.csv<br>def_co800.csv<br>def_co1100.csv<br>def_co1100-10c.csv<br>def_co1100-20c.csv</p> <p>The data were recorded during compression of the above-listed samples at room temperature. </p> <p><br>2. Acoustic emission (AE) data files contained within "AE_data.zip":</p> <p>The .zip archive contains four files related to four samples of thermally treated cobalt:<br>AE_co600.wav<br>AE_co800.wav<br>AE_co1100.wav<br>AE_co1100-20c.wav</p> <p>The AE data were recorded in continuous mode ("data streaming" at 2 MHz) during compression of the above-listed samples at room temperature. </p> <p> </p> <p>3. Electron back-scatter diffraction (EBSD) data files contained within "EBSD_data.zip":</p> <p>The .zip archive contains fifty-three .osc files related to samples of as-drawn and thermally treated cobalt within four folders:<br>0c - as-drawn and annealed samples (i.e. without thermal cycling)<br>10c - annealed samples after thermal cycling of 10 cycles<br>20c - annealed samples after thermal cycling of 20 cycles<br>ex-situ_def - ex-situ EBSD during deformation of selected samples</p> <p>The .osc data files represent EBSD data after clean-up procedures described in detail in the manuscript.</p> <p> </p> <p> </p> <p> </p>
Data for "Grand canonically optimized grain boundary phases in hexagonal close-packed titanium"
<p>Supporting data of GB structures and scripts for the paper titled "Grand canonically optimized grain boundary phases in hexagonal close-packed titanium."</p>
Рис. 2. СреΑнее процентное соΑержание в гастроΛитах гусей основных грануΛометрических фракций зерен (сΛева) и их минераΛьных разновиΑностей (справа) Fig. 2. Average percentage of the main granulometric fractions of grains (left) and their mineral varieties (right) in goose gastroliths in The mineral composition of gastroliths in the stomachs of Anatidae in Primorsky Region and the importance of silicon minerals in the physiology of birds
Рис. 2. СреΑнее процентное соΑержание в гастроΛитах гусей основных грануΛометрических фракций зерен (сΛева) и их минераΛьных разновиΑностей (справа) Fig. 2. Average percentage of the main granulometric fractions of grains (left) and their mineral varieties (right) in goose gastroliths
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka in The mineral composition of gastroliths in the stomachs of Anatidae in Primorsky Region and the importance of silicon minerals in the physiology of birds
Рис. 3. А — гастроΛиты гуся беΛоΛобого (кварц и отΑеΛьные кристаΛΛы амфибоΛов), ХороΛьский район, сеΛо Сиваковка; Б — гастроΛиты из жеΛуΑка гуся беΛоΛобого (размерность кварцевых зерен), южный берег оз. Ханка Fig. 3. A — gastroliths of a white-fronted goose (quartz and individual crystals of amphiboles), Khorolsky District, Sivakovka village; Б — gastroliths from the stomach of a white-fronted goose (dimension of quartz grains), the southern shore of Lake Khanka
Coarse-grained outputs from near-global aqua-planet control run with QOBS SST
<p>This is the coarse-grained CTRL NG-Aqua data described in the following two papers:</p> <p>Narenpitak, P., Bretherton, C. S. & Khairoutdinov, M. F. Cloud and circulation<br> feedbacks in a near-global aquaplanet cloud-resolving model: Cloud Feedbacks in<br> a Near-Global CRM. J. Adv. Model. Earth Syst. 9, 1069–1090 (2017).</p> <p>Bretherton, C. S. & Khairoutdinov, M. F. Convective self-aggregation feedbacks<br> in near-global cloud-resolving simulations of an aquaplanet. Journal of<br> Advances in Modeling Earth Systems 7, 1765–1787 (2015).</p> <p><br> The data are generated using the System for Atmospheric Modeling, and then<br> selected fields are averaged onto (160 km)^2 grid boxes for machine learning<br> purposes.</p>
ScienceDex guides
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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.