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233 results for “seasonal dynamics”
Рис. 7. Сезонная Δинамика соΔержимого цист H. glycines Fig. 7. Seasonal dynamics of H. glycines cysts content in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 7. Сезонная Δинамика соΔержимого цист H. glycines Fig. 7. Seasonal dynamics of H. glycines cysts content
Рис. 4. Сезонная Δинамика размеров цист Heterodera glycines и чисΛа яиц в них. Размер цист в баΛΛах: 1 — меΛкие, 2 — среΔние, 3 — крупные Fig. 4. Seasonal dynamics of the size of Heterodera glycines cysts and the number of eggs in them. The size of cysts in classes: 1 — small, 2 — medium, 3 — large in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 4. Сезонная Δинамика размеров цист Heterodera glycines и чисΛа яиц в них. Размер цист в баΛΛах: 1 — меΛкие, 2 — среΔние, 3 — крупные Fig. 4. Seasonal dynamics of the size of Heterodera glycines cysts and the number of eggs in them. The size of cysts in classes: 1 — small, 2 — medium, 3 — large
Figure 7 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 7 Mean proportion of phytoseiids per leaf outside or inside the canopy (a), on the adaxial or abaxial side of the leaves (b), white or red coloured (c), and collected on fruits (d), whenE. banksi occurred or was absent. Capped bars represent ± standard error (SE). Significant differences are denoted with asterisks. Chi square contingency test:P <0.001.
Figure 1 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 1 Mean number ofE. banksi(a–d) and phytoseiid mites (e–h) per leaf or per cm2 of leaves and fruits. Capped bars represent ± standard error (SE). Bars with different letters are significantly different (Wilcoxon rank-sum test).
Figure 5 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 5 (a–d) Representation of the binomial (logit-link) generalized linear models (GLMs) showing the relationship between the proportion
Figure 3 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 3 Seasonal relative abundance of motile forms of phytoseiid species in four (2018) and six (2019) citrus orchards. Percentage of each species per sampling is represented. The summer decline
Figure 4 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 4 Variation in the spatial distribution and body coloration of phytoseiid in relation to the abundanceE. of banksi in four (2018) and six (2019) citrus orchards. Grey bars indicate the percentage of phytoseiids collected outside the canopy, on the leaf adaxial sides, fruits occupied by phytoseiids, and red phytoseiids (primary y-axis), in relation with the mean numberE of. banksi per leaf or fruit represented as a solid line (secondary, y-axis). Capped bars represent ± standard error (SE).
Figure 2 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 2 Seasonal trends ofE. banksi and phytoseiid mites on leaves (solid line, first y-axis) and fruits (broken line, second y-axis) in four and six citrus orchards in 2018 and 2019 respectively. Mean number of mites collected per sampling unit (all the stages were pooled together). Note that first and second y-axis scales are different. Mean (solid line), maximum and minimum daily temperatures in °C (broken lines) and mean daily relative humidity (RH) were represented.
Fig.3 in Ancyrophora gracilis L , 1892 and Actinocephalus permagnus Wellmer, 1910 (Eugregarinorida: Apicomplexa) in natural populations of ground beetles (Coleoptera, Carabidae) - hosts preferences, intensity and seasonal dynamic
Fig.3. The mean density ± SE of Actinocephalus permagnus (circle) and Ancyrophora gracilis (square) in consecutive seasons
Fig. 1 in Ancyrophora gracilis L , 1892 and Actinocephalus permagnus Wellmer, 1910 (Eugregarinorida: Apicomplexa) in natural populations of ground beetles (Coleoptera, Carabidae) - hosts preferences, intensity and seasonal dynamic
Fig. 1. Mean density of Actinocephalus permagnus (AT) and Ancyrophora gracilis (AC) in relation to host size classes. circle – medium sized, squares – broad sized hosts
Fig. 15 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 15: Size-frequency distributions of trammel net landings. TL = total length; CL = carapace length; ML = mantle length. Vertical lines: minimum landing size.
Fig. 7 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 7: Composition of traps landings. ITA_17_A = Italy GSA17 traps for S. officinalis; ITA_17_B = Italy GSA17 traps for T. mutabilis; SLOV = Slovenia; CRO = Croatia.
Fig. 6 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 6: Composition of trammel net landings. CRO_rocky = Croatia rocky bottoms; CRO_soft = Croatia soft bottoms; ITA_18 = Italy GSA18; MONT = Montenegro; SLOV = Slovenia.
Fig. 5 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 5: Composition of gillnet landings. CROA = Croatia; ITA_17 = Italy GSA17; ITA_18 = Italy GSA18; MONT = Montenegro; SLOV = Slovenia.
Figure 4 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 4. Relationship between amoeboid protist richness and soil parameters during the wet season in three microhabitats by CCA: PL: Pr. laevigata, PP: Pa. praecox, and BS: bare soil. The names and abbreviations of the amoeboid protist species can be found in table 3.
Figure 2 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 2. Cumulative richness plots of amoeboid protists present under Pr. laevigata (PL), Pa. praecox (PP) and bare soil (BS) during dry and wet seasons at 0–30 cm. a) eruptive pseudopods, and b) acanthopodial pseudopods. ND: not determined.
Figure 1 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions
Figure 1. Study area, showing vegetation patches in the desert of Tehuacán, Puebla, Mexico. In addition, the analyzed microhabitats are shown: Pr. laevigata, Pa. praecox and bare soil.
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas
Fig. 14 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 14: Size-frequency distributions of gillnet landings. TL = total length; CL = carapace length; ML = mantle length. Vertical lines: minimum landing size.
Рис. 2. Сезонная Αинамика чисΛенности и биомассы зоопΛанктона оз. Арейское в 2019– 2020 гг. Fig. 2. Seasonal dynamics of the zooplankton abundance and biomass in the Areiskoye Lake in 2019–2020 in Zooplankton of the Areiskoye Lake (Ingoda River basin, Trans-Baikal Territory)
Рис. 2. Сезонная Αинамика чисΛенности и биомассы зоопΛанктона оз. Арейское в 2019– 2020 гг. Fig. 2. Seasonal dynamics of the zooplankton abundance and biomass in the Areiskoye Lake in 2019–2020
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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.