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4,243 results for “seasonality”
Fig. 5 in Spatiotemporal dynamics of insect diversity in tropical seasonal forests is linked to season and elevation, a case from northern Thailand
Fig. 5. Spatiotemporal variation in abundance and species richness of Diptera and Auchenorrhyncha trapped over 12 months sampling over six 500 m elevation zones at Doi Inthanon in 2014. The left panel shows Relative Abundance, A* (number of individuals caught. trap-1. month-1) as log (1+A*) for Diptera (A) and Auchenorryncha (C). The right panel shows observed species richness, S, for Diptera (B) 10 obs and Auchenorryncha (D). Data were plotted on a grid of elevation zone (vertical axis) and months (horizontal axis) and mapped using the multiquadric gridding algorithm in the gridding module of PAST. Values of log10(1+A*) and Sobs are indicated by the colour scale bars. Data are not available for January and February at <500 m and 500–1,000 m.
Figure 11 Seasonal abundance ofEotetranychus. carpiniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 11 Seasonal abundance ofEotetranychus. carpiniobserved during 2010 (months are indicated in x-axis) on different treatments in Farm B.
Figure 7 Seasonal abundance ofKampimodromus aberransobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 7 Seasonal abundance ofKampimodromus aberransobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 2 Seasonal abundance ofEotetranychus carpiniobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 2 Seasonal abundance ofEotetranychus carpiniobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 8 Seasonal abundance ofTyphlodromus pyriobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 8 Seasonal abundance ofTyphlodromus pyriobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 9 Seasonal abundance ofTyphlodromus pyriobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 9 Seasonal abundance ofTyphlodromus pyriobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 4 Seasonal abundance ofAmblyseius andersoniobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 4 Seasonal abundance ofAmblyseius andersoniobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 3 Seasonal abundance ofEotetranychus carpiniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 3 Seasonal abundance ofEotetranychus carpiniobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 6 Seasonal abundance ofKampimodromus aberransobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 6 Seasonal abundance ofKampimodromus aberransobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 1 Seasonal abundance ofPanonychus ulmiobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 1 Seasonal abundance ofPanonychus ulmiobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards
Figure 5 Seasonal abundance ofAmblyseius andersoniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 5 Seasonal abundance ofAmblyseius andersoniobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 1 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 1 Location of the study plots. G – goose pasture and meadow, Go – goat pasture and meadow, F – fallow deer pasture and meadow.
Figure 3 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 3 Detrended correspondence analysis (DCA) for most abundantA(> 0.5) oribatid species (adults and juveniles). Season, eigenvalues for
Figure 2 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 2 Age structure of Oribatida in spring (Sp), summer (Su) and autumn (Au); a, b – significant difference between seasons atp ≤ 0.05; the same letter indicates that difference is not significant. Adult pasturep-value=0.236, juvenile pasture p-value=0.011, adult meadowp-value=0.156, juvenile meadowp-value=0.080.
Figure 4 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 4 Detrended correspondence analysis (DCA) for most abundant oribatid species (adults and juveniles) with A>(0.5). Study site eigenvalues for axis 1 ʎ = 0.50 (84.07%), for axis 2 ʎ = 0.02 (3.08%). Pasture and meadow in spring (sp), summer (su) and autumn (au). A_col – Achipteria coleoptrata, E_occ – Eupelops occultus, L_sim – Liebstadia similis, M_pul – Metabelba pulverosa, P_pel – Platynothrus peltifer, P_pun – Punctoribates punctum, S_lae – Scheloribates laevigatus, S_imm – Sellnickochthonius immaculatus, T_vel – Tectocepheus velatus, T_nov – Trichoribates novus.
Fig. 1 in Patterns of niche breadth and feeding overlap of the fish fauna in the seasonal Brazilian Pantanal, Cuiabá River basin
Fig. 1. Location of the sampling site in the Cuiabá River (1 and 2) and Chacororé pond (3), in the upper Pantanal region, Mato Grosso State, Brazil.
Fig. 6 in Gape size influences seasonal patterns of piscivore diets in three Neotropical rivers
Fig. 6. Frequency histogram of the largest (SL) 5% of individuals collected each month in seine hauls. Larger individuals became increasingly rare from November to April as water levels fall. Arrows indicate the median size for each month.
Fig. 2 in Gape size influences seasonal patterns of piscivore diets in three Neotropical rivers
Fig. 2. Photographs of representative individuals of the focal species in this study (not preserved). From top: a) Boulengerella cuvieri (SL= 320 mm), b) Boulengerella lucius (SL= 420 mm), c) Cichla temensis (SL= 360 mm), d) Cichla orinocensis (SL= 305 mm).
Fig. 5 in Gape size influences seasonal patterns of piscivore diets in three Neotropical rivers
Fig. 5. Prey/predator body length ratios for four predator species. Relationships are presented from falling water (October) to rising water (May) period. Significant relationships are represented by a solid line and non-significant relationships with dotted lines. Number of stomach contents examined during the study period: Ventuari: C. temensis = 408, C. orinocensis = 698; Cinaruco: C. temensis = 1365, C. orinocensis = 755, B. cuvieri = 292, B. lucius = 411; La Guardia: C. temensis = 444, C. orinocensis = 228, B. cuvieri = 93, B. lucius = 67.
Fig. 1 in Gape size influences seasonal patterns of piscivore diets in three Neotropical rivers
Fig. 1. Map of Venezuela showing the locations of the three tributaries of the Orinoco River considered in this study: La Guardia, Cinaruco, and Ventuari Rivers.
ScienceDex guides
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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.