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769 results for “Cultivation”
CINWA: Database of Cultivated plants and their names in the indigenous languages of South America
<p><strong>This repository contains source data for CINWA - Database of Cultivated plants and their names in the indigenous languages of South America. If you use these data please cite the database. Aguilar Panchi, Evelyn Michelle, Saetbyul Lee, Evgenia Brodetsky, and Matthias Urban (eds.). 2022. CINWA - Database of Cultivated plants and their names in the indigenous languages of South America. Version 0.9. Available online at cinwa.org. If you would like to cite specific data entries, please also acknowledge the original source by consulting the reference that is associated with that entry. For example: Cook, Dorothy M., and Frances L. Gralow. 2001. Diccionario bilingüe koreguaje-español español-koreguaje. Santafé de Bogotá: Editorial Alberto Lleras Camargo. In: Aguilar Panchi, Evelyn Michelle, Saetbyul Lee, Evgenia Brodetsky, and Matthias Urban (eds.). 2022. CINWA - Database of Cultivated plants and their names in the indigenous languages of South America. Version 0.9. Available online at cinwa.org.</strong></p>
Figure 5 in Phytophagous mite (Acari) species on garlic (Allium sativum L.) cultivation areas and storages of Kastamonu, Turkey
Figure 5. Percentage distribution of mites collected in garlic cultivation areas according to the localities (Merkez = Centrum).
Figure 1 in Phytophagous mite (Acari) species on garlic (Allium sativum L.) cultivation areas and storages of Kastamonu, Turkey
Figure 1. Localities of phytophagous mite species collected in garlic cultivation areas and storages of Kastamonu.
Figure 2 in Phytophagous mite (Acari) species on garlic (Allium sativum L.) cultivation areas and storages of Kastamonu, Turkey
Figure 2. Distribution of mite samples according with the plant parts and storage Acaridae was most abundant (94.00%) determined mite group from garlic head samples (See Fig 3).
Figure 4 in Phytophagous mite (Acari) species on garlic (Allium sativum L.) cultivation areas and storages of Kastamonu, Turkey
Figure 4. Number of mites collected in garlic cultivation areas (garlic head, garlic leaves) and storage surveys.
Data from: Human avoidance, selection for darkness and prey activity explain wolf diel activity in a highly cultivated landscape
<p>Wildlife that share habitats with humans with limited options for spatial avoidance must either tolerate frequent human encounters or concentrate their activity on those periods with the least risk of encountering people. Based on 5,259 camera trap images of adult wolves from eight territories, we analyzed the extent to which diel activity patterns in a highly cultivated landscape with extensive public access (Denmark) could be explained by diel variation in darkness, human activity, and prey (deer) activity. A resource selection function that contrasted every camera observation (use) with 24 alternative hourly observations from the same day (availability), revealed that diel activity correlated with all three factors simultaneously with human activity having the strongest effect (negative), followed by darkness (positive) and deer activity (positive). A model incorporating these three effects had lower parsimony and classified use and availability observations just as well as a 'circadian' model that smoothed the use-availability ratio as a function of time of the day. Most of the selection for darkness was explained by variation in human activity, supporting the notion that nocturnality (proportion of observations registered at night vs. day at the equinox) is a proxy for temporal human avoidance. Contrary to our expectations, wolves were no more nocturnal in territories with unrestricted public access than in territories where public access was restricted to roads, possibly because wolves in all territories had few possibilities to walk more than a few hundred meters without crossing roads. Overall, Danish wolf packs were 6.5 (95% CI: 4.6-9.6) times more active at night than at daylight, which makes them amongst the most nocturnally active wolves reported so far. These results confirm the prediction that wolves in habitats with limited options for spatial human avoidance, invest more in temporal avoidance.</p>
FIGURE 1 in Chromosome Numbers of Some Cultivated Acanthaceae with Notes on Chromosomal Evolution in the Family
FIGURE 1 (upper right). Chromosomes of Acanthaceae in pollen mother cells. A. Dyschoriste thunbergiiflora, metaphase II (only half of cell shown), n = 15. B. Brillantaisia owariensis, telophase I, n = 16 (with one lagging chromosome toward "upper" pole). C. Brillantaisia owariensis, metaphase I, n = 16. D. Ruellia elegans, diakenesis (showing nucleolus, n), n = 17. E. Crossandra infundibuliformis, metaphase I, n = 19. F. Ruellia dipteracanthus, metaphase I, n = 17. G. Justicia scheidweileri, metaphase I, n = 14. Chromosomes shown in outline only are touching or overlapping other chromosomes. Scale applies to all figures. See Table 1 for voucher information.
FIGURE 3 in Chromosome Numbers of Some Cultivated Acanthaceae with Notes on Chromosomal Evolution in the Family
FIGURE 3. Flowers of some species for which chromosome numbers are reported here. A. Ruellia costaricensis. B. Graptophyllum pictum. C. Ruellia elegans. D. Brillantaisia owariensis. E. Justicia fulvicoma. F. Ruellia dipteracanthus. G. Ruellia makoyana. H. Thunbergia grandiflora (white-flowered form). I. Megaskepasma erythrochlamys. J. Odontonema tubaeforme. K. Thunbergia mysorensis. L. Strobilanthes hamiltoniana. M. Justicia scheidweileri. N. Peristrophe speciosa. Photos by the author.
FIGURE 2 in Chromosome Numbers of Some Cultivated Acanthaceae with Notes on Chromosomal Evolution in the Family
FIGURE 2 (lower right). Chromosomes of Acanthaceae in pollen mother cells. A. Ruellia costaricensis, telophase II, n = 17. B. Strobilanthes hamiltoniana, telophase I (distance between poles of cell reduced for presentation), n = 11. C. Pseuderanthemum graciliflorum, metaphase I, n = 21. D. Peristrophe speciosa, metaphase I, n = 30. E. Strobilanthes hamiltoniana, diakinesis (showing nucleolus, n), n = 11. Chromosomes shown in outline only are touching or overlapping other chromosomes. Scale applies to all figures. See Table 1 for voucher information.
Figure 5 in Germanium dioxide as agent to control the biofouling diatom Fragilariopsis oceanica for the cultivation of Ulva fenestrata (Chlorophyta)
Figure 5: GeO2-dependent total diatom density present on the surfaces of Plexiglass water tanks after 14 days of large-scale cultivation of Ulva fenestrata. Data are means of three replicates per treatment (n = 3) and error bars represent standard deviations. Lowercase letters above columns indicate statistically significant differences between the treatments (P <0.001, 1-way ANOVA, Tukey-Kramer HSD post-hoc test).
Figure 1 in Germanium dioxide as agent to control the biofouling diatom Fragilariopsis oceanica for the cultivation of Ulva fenestrata (Chlorophyta)
Figure 1: Photographs of the water tanks used for the cultivation of Ulva fenestrata in the laboratory while being (A) moderately and (B) strongly colonised by Fragilariopsis oceanica.
Figure 2 in Germanium dioxide as agent to control the biofouling diatom Fragilariopsis oceanica for the cultivation of Ulva fenestrata (Chlorophyta)
Figure 2: Total diatom biomass at different GeO2 concentrations after 22 days of cultivation at 137 µmol photons m−2 s−1 and 9 °C. Data are means of three replicates per treatment (n = 3) and error bars represent standard deviations. Lowercase letters above columns indicate statistically significant differences between the treatments (P <0.001, 1-way ANOVA, Tukey-Kramer HSD post-hoc test).
Figure 1 in Anatomical and histological traits of Brycon amazonicus liver cultivated in a semi-intensive system
Figure 1. Graphical representation resulting from the analysis of the weight-length ratio of B. amazonicus cultivated semi-intensively, in four stages of body growth.
Figure 4 in Anatomical and histological traits of Brycon amazonicus liver cultivated in a semi-intensive system
Figure 4. Microscopic image of Brycon amazonicus liver from semi-intensive cultivation. Note the cordonal aspect of the hepatocytes, the absence of lobulation and the presence of blood vessels without pancreatic tissue wrap (arrowhead) and with pancreatic cells surrounding them (arrow). HE, 200X. Bar = 50µm.
Figure 3 in Anatomical and histological traits of Brycon amazonicus liver cultivated in a semi-intensive system
Figure 3. Behavior of semi-intensively cultivated Brycon amazonicus hepatosomatic relationship, according to body growth. Different letters represent significant differences between groups (P <0.05).
Figure 2 in Anatomical and histological traits of Brycon amazonicus liver cultivated in a semi-intensive system
Figure 2. Brycon amazonicus liver after removal of the celomatic cavity and dissection of an individual belonging to the PIII. Note the hepatic lobation and gallbladder (G) located next to the right hepatic lobe, and the red-brown color of de liver.
Fig. 3 in Short Communication High-Density Cultivation of the Marine Ciliate Uronema marinum (Ciliophora, Oligohymenophorea) in Axenic Medium
Fig. 3. Growth chart of U. marinum in PGY medium and bacterized filtered seawater. The density of ciliate cells was measured every 12 hours after inoculation using a hemocytometer. The final data points are 419 cells/μl in PGY medium and 11 cells/μl in bacterized filtered seawater.
Fig. 2 in Short Communication High-Density Cultivation of the Marine Ciliate Uronema marinum (Ciliophora, Oligohymenophorea) in Axenic Medium
Fig. 2. PCR amplification of the bacterial SSU-rDNA on 1% agarose gel. A1, A2, and A3 are parallel samples extracted from the axenic culture in PGY medium. B1, B2, and B3 are parallel samples extracted from the culture in bacterized filtered seawater. M – DNA ladder.
Fig. 1 in Short Communication High-Density Cultivation of the Marine Ciliate Uronema marinum (Ciliophora, Oligohymenophorea) in Axenic Medium
Fig. 1. Uronema marinum from life (A, B, E, F), after protargol (C, D) and DAPI-staining (G, H). A, B – lateral-ventral view of typical cell (B, from Pan et al. 2010); C, D – ventral and dorsal view of the same specimen (from Pan et al. 2010); E – 72 hours after inoculating into PGY medium; F – 168 hours after inoculating into PGY medium; G – Uronema marinum in axenic culture, demonstrating the absence of bacteria; H – Uronema marinum in bacterized filtered seawater cultivating system, arrowheads indicate bacteria that are active in the realtime viewing conditions; M1–3 – membranelles 1–3, PM – paroral membrane, Sc – scutica. Scale bars: 20 μm.
Fig. 2 in Evaluation Of Winter Hardiness In Different Cultivated Tilia Taxa - Experience Of Some Most Valuable Dendrological Plantations In Central Latvia (Vidzeme) After Extremely Hard Winter In Year 2009/2010
Fig. 2. Long-term average temperatures of January in Latvia (by Turlajs 2007) with inventoried objects in central part of Latvia.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.