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Fig. 2 in Analyzing the mass-rearing system of the California red scale parasitoid Aphytis melinus (Hymenoptera: Aphelinidae)
Fig. 2. Production of Aphytis melinus over the period in which the pilot system was working, from 18 March 2010 to 20 Jun 2011: (a) Total production per day, when different cages were in production at the same time and collection was every 2 to 3 days; (b) Total production per cage. Each bar in (b) represents the production of an individual cage, and is displayed as the date when parasitoid emergence began.
Fig. 1 in Analyzing the mass-rearing system of the California red scale parasitoid Aphytis melinus (Hymenoptera: Aphelinidae)
Fig. 1. Parasitoid (Aphytis melinus) production (as percentage of the total production given as mean ± SE) in the production cages: (a) daily emergence; (b) cumulative emergence.
Fig. 2 in Comparison of two traps for monitoring California red scale (Hemiptera: Diaspididae)
Fig. 2. (A) Mean (± SE) number of California red scale per trap by sampling date, based on estimate California red scale counts. Male flight periods are delimited with vertical dashed lines. (B) Degree-d accumulation across sampling dates, for temperature data collected from onsite weather station and regional weather station. Solid horizontal lines correspond to the degree-d requirements for the second and fourth male flights.
Fig. 1 in Comparison of two traps for monitoring California red scale (Hemiptera: Diaspididae)
Fig. 1. The California red scale traps used in this study deployed in the field. (A) Single-sided California red scale trap, consisting of a wirelessly networked digital camera mounted to a sticky card platform. (B) A commercial double-sided California red scale trap.
Fig. 3 in Comparison of two traps for monitoring California red scale (Hemiptera: Diaspididae)
Fig. 3. (A) Mean (± SE) California red scale counts (based on estimated California red scale counts) for all trap locations in this study. (B) Schematic of relative position of trap locations in our field plot; shape indicates estimated marginal mean California red scale counts. In (A) and (B) circles are <500 California red scale, triangle is 501 to 1,000 California red scale, and squares> 1,000 California red scale. (C) Mean (± SE) California red scale trap counts by flight number. Bars with different letters are significantly different (α = 0.05).
Fig. 4 in Comparison of two traps for monitoring California red scale (Hemiptera: Diaspididae)
Fig. 4. The probability of a trap capturing> 1,000 California red scale in a sampling period, based on (A) actual California red scale counts, and (B) estimated California red scale counts. Male flight periods are delimited with vertical dashed lines.
Figure 2. - K2P in Range extension of Gerres infasciatus (Perciformes: Gerreidae) from the Red Sea and the Arabian Gulf, with distributional implications for the G. filamentosus complex
Figure 2. - K2P distance neighbouring-joining tree of COI sequences (615 bp) of gerreid species in the Gerres filamentosus complex; G. oyena used as outgroup.
Figure 1. - Gerres filamentosus complex. A in Range extension of Gerres infasciatus (Perciformes: Gerreidae) from the Red Sea and the Arabian Gulf, with distributional implications for the G. filamentosus complex
Figure 1. - Gerres filamentosus complex. A: Gerres infasciatus. SMF 35412, 99.5 mm SL, off Jizan, Saudi Arabia, Red Sea; B: G. microphthalmus, NSMT-P 45901, holotype, female, 189 mm SL, Kyushu, Japan; C: G. macracanthus, SMF 35037, 98 mm SL, off Jizan, Saudi Arabia, Red Sea; D: G. filamentosus, KAUMI 12250, 139 mm SL, off Sabah, Borneo Island, Malaysia. Photographs (A, C) were taken by S.V. Bogorodsky and (D) by M. Matsunuma.
Figure 2 in Objective record of Pterois russelii (Scorpaenidae: Pteroinae) from the Red Sea
Figure 2. – Relationship between supraocular tentacle length and standard length (mm) in Pterois russelii, showing ontogenetic change of the former.
Figure 1 in Objective record of Pterois russelii (Scorpaenidae: Pteroinae) from the Red Sea
Figure 1. – Fresh specimen of Pterois russelii from the Red Sea [SMF 35752 (KAU 14-168), 99.7 mm standard length, off Jizan, Saudi Arabia]. Photo by S. V. Bogorodsky.
Fig. 1 in Morphological and molecular analyses of Taenia and Mesocestoides species from red foxes (Vulpes vulpes) in northwestern China
Fig. 1. Phylogenetic relationships of Taenia and Mesocestoides species from red foxes based on cox1 sequences.
Fig. 4 in Temporal variation of epi- and endofaunal assemblages associated with the red sponge Tedania ignis on a rocky shore (São Sebastião Channel), SE Brazil
Fig. 4. MDS ordination of epifaunal (open symbols) and endofaunal (closed symbols) assemblages associated with Tedania ignis at Praia das Cigarras, São Sebastião, São Paulo, Brazil during one year. Stress = 0.06.
Fig. 3 in Temporal variation of epi- and endofaunal assemblages associated with the red sponge Tedania ignis on a rocky shore (São Sebastião Channel), SE Brazil
Fig. 3. Temporal variation of the main taxonomic groups of epifaunal (open symbols) and endofaunal (closed symbols) assemblages associated with Tedania ignis at Praia das Cigarras, São Sebastião, São Paulo, Brazil. Values are means ± SE.
Fig. 2 in Temporal variation of epi- and endofaunal assemblages associated with the red sponge Tedania ignis on a rocky shore (São Sebastião Channel), SE Brazil
Fig. 2. Variation of density, taxon richness and Shannon diversity index of epifaunal (open symbols) and endofaunal (closed symbols) assemblages associated with Tedania ignis in relation to sponge biomass and organic matter content at Praia das Cigarras, São Sebastião, São Paulo, Brazil.
Fig. 1 in Temporal variation of epi- and endofaunal assemblages associated with the red sponge Tedania ignis on a rocky shore (São Sebastião Channel), SE Brazil
Fig. 1. Temporal variation of sponge biomass, and density, taxon richness and Shannon diversity index of epifaunal (open symbols) and endofaunal (closed symbols) assemblages associated with Tedania ignis at Praia das Cigarras, São Sebastião, São Paulo, Brazil. Values are means ± SE.
Fig. 4 in Red Devonian trilobites with green eyes from Morocco and the silicification of the trilobite exoskeleton
Fig. 4. Map of Hamar Laghdad showing the mud−mounds, the distribution of the red facies, the position of the red cliff, erosional remnants of the Cretaceous transgression conglomerate and the distribution of outcrops of Middle Devonian sediments (map based on satellite images, the topographic map sheet "Erfoud, feuille NH−30−XX−2, Carte du Maroc 1/100000", and Berkowski 2006: fig. 1).
Fig. 3 in Red Devonian trilobites with green eyes from Morocco and the silicification of the trilobite exoskeleton
Fig. 3. SEM−SE image of cephalon PIMUZ 27076 and results of the element analyses ("EDX−spektrum X"). A. SEM−SE image of the eye and result of the element analysis of a lense ("EDX−spektrum 1"). Note the absence of iron and silica. B. SEM−SE image of the glabella and result of the element analysis ("EDX−spektrum 9"). Iron and silica are present. C. Analysis performed in the intralensar area ("EDX−spektrum 2") of the glabella(see A). Iron and silica are present.
Fig. 1 in Red Devonian trilobites with green eyes from Morocco and the silicification of the trilobite exoskeleton
Fig. 1. Geologic map of Morocco and the Tafilalt (eastern Anti−Atlas), showing the position of the "red cliff" at Hamar Laghdad (modified after Klug 2007).
Fig. 15 in Morphological description and multilocus genotyping of Onchocerca spp. in red deer (Cervus elaphus) in Switzerland
Fig. 15. Dendrogram of Onchocerca from this study, various other Onchocerca sequences and Litomosoides sigmodontis as an outgroup based on a dataset of 579 positions of the mitochondrial cox1 gene, estimated by using the Maximum Likelihood method and TN93 + G + I substitution model (Tamura and Nei, 1993). The tree with the highest log likelihood (– 2902.13) is shown. Bootstrap values over 50 are shown next to the branches. Sequences newly generated in this study are in bold.
Fig. 14 in Morphological description and multilocus genotyping of Onchocerca spp. in red deer (Cervus elaphus) in Switzerland
Fig. 14. Dendrogram of Onchocerca from this study, additional Onchocerca species and Setaria labiatopapillosa, Oswaldofilaria chabaudi and Icosiella neglecta as outgroups based on a dataset of 935 positions of the concatenated mitochondrial cox1 and 12S rDNA gene, estimated by using the Maximum Likelihood method and GTR + G + I substitution model (Nei and Kumar, 2000). The tree with the highest log likelihood (– 4758.48) is shown. Bootstrap values over 50 are shown next to the branches. Sequences newly generated in this study are in bold.
ScienceDex guides
Understand access before you commit
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.