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Figures 12-13 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figures 12-13 Ordination diagram (first two axes) of Non-Metric Multidimensional Scaling (NMDS) using (12) Bray-Curtis and (13) Jaccard indexes with Envfit function for the evaluated environments. (▲ Lake 1, ■ Lake 2 and 3, ● Rice Area). Stress: 0.15.
Figures 10-11 from: Silva GL, Metzelthin MH, Da-Costa T, Rocha MS, Silva DE, Ferla NJ, Silva OS (2017) Responses of water mite assemblages (Acari) to environmental parameters at irrigated rice cultivation fields and native lakes. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19988
Figures 10-11 Abundance and richness of mites in rice areas cultivation and native lakes: (10) abundance adults (± SD) (Log10 X+1); (11) richness (± SD) (Log10 X+1). Different letters indicate significant differences, Tukey test, p < 0.05.
Figure 5 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 5 - Relative abundance distribution of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two localities for each trophic guild on the basis of Illumina data B compares the two localities for each trophic guild on the basis of cultivation data.
Figure 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 4 - Relative abundance of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two methods for each trophic guild and unassigned data. B displays the trophic guilds and unassigned taxa for Illumina data, C for cultivation data. Abbreviations in [B and C]: U = Unassigned, P = Pathotrophs, PSa = Patho-Saprotrophs, PSy = Patho-Symbiotrophs, Sa = Saprotrophs, Sy = Symbiotrophs
Figure 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 2 - . Principal coordinate analysis (PCoA) of fungal leaf-inhabiting endophytes of beech display strongly differing assemblages obtained with Illumina sequencing and cultivation. Both methods revealed differing mycobiomes from valley and from mountain leaves, although these differences were less pronounced for cultivation data. Abbreviations: IM = Illumina data from mountain samples, IV = Illumina data from valley samples, CM = cultivation data from mountain samples, CV = cultivation data from valley samples
Figure 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 3 - Abundance distribution of the 20 most abundant orders of fungal leaf-inhabiting endophytes of beech on a logarithmic scale. Three of the five most abundant orders from high-throughput sequencing were also most abundant in cultivation data.
Figure 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 1 - Diversity indexes and accumulation curves for a Illumina and b cultivation data of fungal leaf-inhabiting endophytes of beech. Except of the accumulation curves of cultivation data, both methods revealed a clear and partly significant trend of higher fungal diversity at the valley site.
CULTIVATING AESTHETIC CULTURE AMONG FUTURE PEDAGOGUES: DIMENSIONS AND IMPLICATIONS
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Soil carbon stocks in sugarcane cultivation: an evidence synthesis associated with land use and management practices
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FIGURE 12 in Black fungus gnats (Diptera: Sciaridae) found in association with cultivated plants and mushrooms in Australia, with notes on cosmopolitan pest species and biosecurity interceptions
FIGURE 12. Pnyxia scabiei (Hopkins, 1895). A. Head and thorax (male). B. Head and thorax (female).
FIGURE 7 in Black fungus gnats (Diptera: Sciaridae) found in association with cultivated plants and mushrooms in Australia, with notes on cosmopolitan pest species and biosecurity interceptions
FIGURE 7. Cosmosciara hartii (Johannsen, 1912). A. Male (morphotype I). B. Female (morphotype I).
Figure 1 Microtechnites bractatus infesting Crotalaria spp. A, C in New record of Microtechnites bractatus (Say) (Hemiptera: Miridae) infesting Crotalaria spp. and injuries of Miridae in cultivated plants in the State of Paraná, Brazil
Figure 1 Microtechnites bractatus infesting Crotalaria spp. A, C) Crotalaria juncea; B, D) Crotalaria spectabilis. E) Leaf of C. juncea damage by M. bractatus; F) Exposed eggs laid in C. spectabilis leaf.
Fig. 12 in Does Bt maize cultivation affect the non-target insect community in the agro ecosystem?
Fig. 12. Estimated richness of secondary pests (S.P.) and natural enemies (N.E.) in ears of conventional and transgenic maize for Cry1Ab, Cry1F and combined Cry2Ab2 and Cry1A105 proteins (A) and estimated richness in conventional maize and Bt maize (B) in different counties in Minas Gerais.Bars represent 95% confidence interval.
Fig. 10 in Does Bt maize cultivation affect the non-target insect community in the agro ecosystem?
Fig. 10. Estimated richness of secondary pests (S.P.) and natural enemies (N.E.) in conventional and transgenic maize whorls for Cry1Ab, Cry1F and combined Cry2Ab2 and Cry1A105 proteins (A) and estimated richness in conventional maize and Bt maize (B) in different counties in Minas Gerais. Bars represent 95% confidence interval.
Fig. 1 in Wood-Boring Beetles (Coleoptera) Affecting Vitis vinifera L. (Vitaceae) Cultivation in Southeastern Turkey
Fig. 1. General map of Turkey highlighting the regions involved in the study.
CoupModel files for cultivated peatlands in Norway
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Smartphone Addiction and Its Role in Cultivating Customer Loyalty Among Women - Dataset
<div> <div> <div> <p>Smartphone Addiction and Its Role in Cultivating Customer Loyalty Among Women - Dataset</p> </div> </div> </div>
THE PROBLEM OF MECHANIZATION OF EARLY POTATO CULTIVATION
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Table 2 in Ex-situ cultivation at lower altitude and evaluation of Swertia chirayita, a critically endangered medicinal plant of Sikkim Himalayan region, India
<p><b>Table 2</b> Analysis of <i>Swertia chirayita</i> mature plant cultivated at an altitude of niche environment (niche environment cultivated) and one-year-old <i>ex-situ</i> cultivated plant at the lower altitude (<i><i>ex-situ</i> cultivated) as per Ayurvedic Pharmacopoeia of India (API) norms.</i></p><table><tbody><tr><th>S. no.</th><th>Parameters</th><th>API specifications</th><th>Stem of niche environment cultivated</th><th>Leaves</th><th></th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td>Niche environment cultivated</td><td><i>Ex-situ</i> cultivated</td></tr><tr><th>1</th><td>Macroscopic description</td><td>The drug consists of whole plant, glabrous, yellowish-brown stem with easily separable yellow pith, leaf, ovate or lanceolate, entire, acuminate, glabrous.</td><td>Stem up to 1 m long and 6 mm in diameter, glabrous, yellowish-brown to purplish, slightly quadrangular above and cylindrical below, large, continuous, easily separable yellow pith.</td><td>Leaf, opposite, cauline, broad at base, ovate or lanceolate, entire, acuminate, glabrous.</td></tr><tr><th>2</th><td>Foreign matter (%w/w)</td><td>Not>2.0</td><td>Nil</td><td>Nil</td><td>Nil</td></tr><tr><th>3</th><td>Total ash (% w/w)</td><td>Not>6.0</td><td>2.86 ± 0.34</td><td>5.37 ± 0.14</td><td>5.55 ± 0.07</td></tr><tr><th>4</th><td>Acid insoluble ash (%w/w)</td><td>Not>1.0</td><td>0.39 ± 0.13</td><td>0.78 ± 0.03</td><td>0.68 ± 0.05</td></tr><tr><th>5</th><td>Alcohol (60% v/v) soluble extractive (%w/w)</td><td>Not <10.0</td><td>6.27 ± 0.62</td><td>15.28 ± 3.29</td><td>16.84 ± 0.08</td></tr><tr><th>6</th><td>Water soluble extractive (% w/w)</td><td>Not <10.0</td><td>7.82 ± 1.34</td><td>15.96 ± 1.45</td><td>22.44 ± 0.40</td></tr><tr><th>7</th><td>Total bitter content (%w/w)</td><td>Not <1.30</td><td>2.15 ± 0.42</td><td>3.95 ± 0.17</td><td>4.57 ± 0.00</td></tr><tr><th>8</th><td>Swertiamarin content (% w/w)</td><td>–</td><td>0.002 ± 0.00</td><td>0.22 ± 0.02</td><td>0.27 ± 0.007</td></tr></tbody></table>
Table 1 in Ex-situ cultivation at lower altitude and evaluation of Swertia chirayita, a critically endangered medicinal plant of Sikkim Himalayan region, India
<p><b>Table 1</b> Dry biomass of <i>Swertia chirayita</i> mature plant from niche environment and one-year-old <i>ex-situ</i> cultivated plant at the lower altitude.</p><table><tbody><tr><th>S. no.</th><th>Growth stages</th><th>Yield (g per sq. m)</th><th></th></tr></tbody><tbody><tr><th></th><td></td><td>Root</td><td>Stem</td><td>Leaves</td></tr><tr><th>1</th><td>Mature plant from niche environment (3–6 plants with average of 4.8 plants per square meter)</td><td>10.27 ± 5.53</td><td>84.86 ± 28.26</td><td>33.78 ± 10.77</td></tr><tr><th>2</th><td>One-year-old plant cultivated at out of niche environment (40–45 plants with average of 43 plants per square meter)</td><td>Not harvested</td><td>Not formed</td><td>28.15 ± 6.59</td></tr></tbody></table>
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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.