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Figure 7 in The web amount and quality of web spiders (Agelenidae, Pholcidae), Agelena labyrinthica (Clerck, 1757) and Holocnemus pluchei (Scopoli, 1763), depending on food and temperature

Figure 7. Food amounts of Agelena labyrinthica at 25–30°C (1: Drosophila melanogaster; 2: food caught with insect net).

opencc-by-4.0Jun 2022View details →
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Figure 6 in The web amount and quality of web spiders (Agelenidae, Pholcidae), Agelena labyrinthica (Clerck, 1757) and Holocnemus pluchei (Scopoli, 1763), depending on food and temperature

Figure 6. Food amounts of Agelena labyrinthica at 20–25°C (1:Drosophila melanogaster; 2: food caught with insect net). Table 4. The Mann–Whitney U test results of the amounts of food consumed under different conditions.

opencc-by-4.0Jun 2022View details →
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Figure 7 in Ecological conditions of Javan langur (Trachypithecus auratus É. Geoffroy Saint-Hilaire, 1812) in Sokokembang Forest (Central Java, Indonesia) through distribution and food preferences

Figure 7. (a) Javan langur males monitoring their group; (b) langur cubs feeding activities in in Sokokembang forest. Photos by Y.M. Putra.

opencc-by-4.0Jan 2024View details →
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Figure 6 in Ecological conditions of Javan langur (Trachypithecus auratus É. Geoffroy Saint-Hilaire, 1812) in Sokokembang Forest (Central Java, Indonesia) through distribution and food preferences

Figure 6. (a) Vertical Crown space of tree usage patterns (yellow color indicates the space used for feeding activities, red color space not used), (b) Percentage of vertical crown space of tree usage.

opencc-by-4.0Jan 2024View details →
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Fig. 2 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 2. Correlation between the mean number of parasite taxa and mean length among the different size classes of Arctic charr and brown trout with a 95% confidence interval.

opencc-by-4.0Aug 2020View details →
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Fig. 1 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 1. Frequency of occurrence of prey categories in the diet of a) Arctic charr and b) brown trout throughout their ontogenesis. Prey categories not related to intestinal parasite transmission are excluded.

opencc-by-4.0Aug 2020View details →
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Fig. 4 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 4. Nonmetric multidimensional scaling (NMDS) plot on Bray-Curtis distances of a) Arctic charr and b) brown trout showing dissimilarity in parasite community composition between different size classes including 95% confidence intervals ellipses. NMDS converged on a three-dimensional solution with an acceptable stress level.

opencc-by-4.0Aug 2020View details →
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Fig. 7 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 7. Canonical correspondence analysis (CCA) performed on parasite abundances as a function of presence-absence of prey types and fish length in a) Arctic charr and b) brown trout (Cre. = Crepidostomum spp., Cya. = Cyatocephalus truncatus, Eub.s. = Eubothrium salvelini, Eub.c. = Eubothrium crassum, Pro. = Proteocephalus sp., Dib. = Dibothriocephalus spp.).

opencc-by-4.0Aug 2020View details →
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Fig. 5 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 5. Differences in parasite community composition between Arctic charr and brown trout using nonmetric multidimensional scaling (NMDS) plot on Bray-Curtis distances, including 95% confidence interval ellipses. NMDS converged on a three-dimensional solution with an acceptable stress level.

opencc-by-4.0Aug 2020View details →
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Fig. 3 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 3. Prevalence of intestinal parasites in Arctic charr (black) and brown trout (grey) throughout their ontogenesis with 95% confidence intervals.

opencc-by-4.0Aug 2020View details →
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Fig. 1 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii

Fig. 1. Captures of wild Bactrocera dorsalis in traps baited with torula yeast borax solution, 2-component cones, or 3-component cones. Symbols represent means (± 1 SE); N = 12 traps per treatment per weathering interval.

opencc-by-4.0Apr 2022View details →
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Fig. 3 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii

Fig. 3. Captures of release Bactrocera dorsalis (top) and Zeugodacus cucurbitae (bottom) in traps baited with torula yeast borax solution (TYB), 2-component cones (2C), or 3-component cones (3C). Bar heights represent means (± 1 SE); N = 48 traps per treatment (8 traps per replicate × 6 replicates).

opencc-by-4.0Apr 2022View details →
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Fig. 2 in Captures of oriental fruit flies and melon flies (Diptera: Tephritidae) in traps baited with torula yeast borax solution or 2- or 3-component synthetic food cones in Hawaii

Fig. 2. Captures of wild Zeugodacus cucurbitae in traps baited with torula yeast borax solution, 2-component cones, or 3-component cones. Symbols represent means (± 1 SE); N = 10 traps per treatment per weathering interval.

opencc-by-4.0Apr 2022View details →
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Fig. 4 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 4. Proportion of tephritids (dark grey), beneficial arthropods (white), and other non-target insects (light grey) captured by the different treatments in the 2017 and 2018 seasons.

opencc-by-4.0Oct 2022View details →
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Fig. 3 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 3. Proportion of gravid (dark grey) and non-gravid (light grey) females of Ceratitis capitata lured to the different treatments on pre- and post-harvest period during the 2018 season (NS = no significant differences, * = P ≤ 0.05). (A–B) Dixieland peach; (C–D) Fuji Kiku apple; (E–F) Satsuma mandarin. Treatments with no captures are not presented.

opencc-by-4.0Oct 2022View details →
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Fig. 2 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 2. Proportion of gravid (dark grey) and non-gravid (light grey) females of Ceratitis capitata lured to the different treatments on pre- and post-harvest period during the 2017 season (NS = no significant differences, * = P ≤ 0.05). (A–B) Dixieland peach; (C–D) Fuji Kiku apple; (E–F) Satsuma mandarin. Treatments with no captures are not presented.

opencc-by-4.0Oct 2022View details →
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Fig. 1 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 1. Cumulative Ceratitis capitata captures expressed as females per trap per d index for the pre-harvest (light gray) and post-harvest (dark gray) periods are shown, for the 3 field trials and the 2 seasons of evaluation. Different letters indicate significant differences between treatments in the cumulative captures of females for the total trial period.

opencc-by-4.0Oct 2022View details →
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Fig. 5 in Food quality influences ovarian development in Scyphophorus acupunctatus (Coleoptera: Dryophthoridae)

Fig. 5. Average number (± SEM) of follicles per ovariole in Scyphophorus acupunctatus at 5, 10, 15, 20, 30, 45, and 60 d of age fed on meridic diet (solid bars) and tuberose bulbs (empty bars). Bars within the same age with different letters indicate significant differences (Tukey multiple comparison test, *P <0.05).

opencc-by-4.0Sep 2018View details →
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Fig. 6 in Food quality influences ovarian development in Scyphophorus acupunctatus (Coleoptera: Dryophthoridae)

Fig. 6. (A) Average length (± SEM) and (B) area (± SEM) of proximal follicles in female of Scyphophorus acupunctatus at 10, 15, 20, 30, 45, and 60 d of age fed on meridic diet (solid bars) and tuberose bulbs (empty bars). Bars within the same age with different letters indicate significant differences (Tukey multiple comparison test, *P <0.05).

opencc-by-4.0Sep 2018View details →
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Fig. 4 in Food quality influences ovarian development in Scyphophorus acupunctatus (Coleoptera: Dryophthoridae)

Fig. 4. Ovarian maturation of Scyphophorus acupunctatus females (%) at different ages fed on meridic diet (lef) and tuberose bulb (right), n = 12 of each age and type of diet.

opencc-by-4.0Sep 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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