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Figure 2 in Food habits of the barn owl Tyto alba in the National Reserve Pampa del Tamarugal, Atacama Desert, North Chile
Figure 2. Rarefaction curve for the species richness found in the pellets of the barn owl (mean and standard deviations) based on the number of replicates sampled. The asymptotic curve indicates that total species richness in the Tamarugal was reached after ca 63 samples. Calculation was performed using the EstimateS 7.5 program.
Figure 3 in Suitability of different pollen grains and Tetranychus urticae as food for the predatory mite, Amblyseius swirskii (Acari: Phytoseiidae)
Figure 3. Pollen shape of eight different plant pollens prepared using a Scanning Electron Microscopy (SEM).
Figure 2 in Suitability of different pollen grains and Tetranychus urticae as food for the predatory mite, Amblyseius swirskii (Acari: Phytoseiidae)
Figure 2. Age-specific survivorship (lx), and age-stage-specific fecundity (fxj) of Ambluseius swirskii fed on Tetranychus urticae and seven different plant pollen grains.
Fig. 2 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 2. Diet composition variation, during breeding season, between hornbill species [Great Hornbill (GH), Wreathed Hornbill (WH), Oriental Pied Hornbill (PH), and White-throated Brown Hornbill (BH)] and White-handed Gibbons (GB).
Fig. 4 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 4. Correspondence Analysis per hornbill nest and gibbon group: a, with all plant species included (n = 58); b, with the genus Ficus and P. viridis excluded; c, with only P. viridis excluded; d, with only the genus Ficus excluded. Hornbill species [Great Hornbill ◆, Wreathed Hornbill ■, Oriental Pied Hornbill ▲, and White-throated Brown Hornbill ■] and White-handed Gibbons ▲.
Fig. 3 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 3. Correspondence Analysis per animal species: a, with all plant species included (n = 58); b, with the genus Ficus and P. viridis excluded; c, with only P. viridis excluded; d, with only the genus Ficus excluded. Hornbill species [Great Hornbill (GH), Wreathed Hornbill (WH), Oriental Pied Hornbill (PH), and White-throated Brown Hornbill (BH)] and White-handed Gibbons (GB).
Data and scripts from "Congruent trophic pathways underpin global coral reef food webs"
<p>Ecological interactions uphold ecosystem structure and functioning. However, as species richness increases, the number of possible interactions rises exponentially. More than 6,000 species of coral reef fishes exist across the world’s tropical oceans, resulting in an almost innumerable array of possible trophic interactions. Distilling general patterns in these interactions across different bioregions stands to improve our understanding of the processes that govern coral reef functioning. Here, we show that across bioregions, tropical coral reef food webs exhibit a remarkable congruence in their trophic interactions. Specifically, by compiling and investigating the structure of six coral reef food webs across distinct bioregions, we show that when accounting for consumer size and resource availability, these food webs share more trophic interactions than expected by chance. In addition, coral reef food webs are dominated by dietary specialists, which makes trophic pathways vulnerable to biodiversity loss. Prey partitioning among these specialists is geographically consistent, and this pattern intensifies when weak interactions are disregarded. Our results suggest that energy flows through coral reef communities along broadly comparable trophic pathways. Yet, these critical pathways are maintained by species with narrow, specialized diets, which threatens the existence of coral reef functioning in the face of biodiversity loss.</p>
Fig. 3 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 3. The OPLS score plot (a) showing the correlation between 1H NMR data and Bornean elephant predictive food preference level. The loading coefficient plot (b) showing the signals that are positively (on the positive y-axis) and negatively (negative y-axis) correlated to the preference prediction [C = Calamus sp., DC = Donax canniformis, EG = Elaeis guineensis, E = Etlingera sp., MB = Musa borneensis, SS = Saccharum spontaneum, BO = Bambusa oldhamii, SO = Saccharum officinarum, CN = Cocos nucifera, AH = Artocarpus heterophyllus, L = Licuala sp., CM = Caryota mitis, AP = Arenga pinanga].
Fig. 2 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 2. The orthogonal projections to latent structures (OPLS) score plot (a) showing separation of nutritional values among the samples [C = Calamus sp., Dc = Donax canniformis, Eg = Elaeis guineensis, E = Etlingera sp., Mb = Musa borneensis, Ss = Saccharum spontaneum, Bo = Bambusa oldhamii, So = Saccharum officinarum, Cn = Cocos nucifera, Ah = Artocarpus heterophyllus, L = Licuala sp., Cm = Caryota mitis, Ap = Arenga pinanga] The response-related profile (b) showing signals that are positively and negatively correlated to the preference prediction [NDF = Neutral detergent fibre, ADF = Acid detergent fibre, HC = Hemicellulose, ADL = Acid detergent lignin, CP = Crude protein, P = Phosphorus, K = Potassium, Ca = Calcium, Mg = Magnesium, Na = Sodium].
Fig. 1 in Food preference of the Bornean elephant (Elephas maximus borneensis) in North Kalimantan Province, Indonesia, and its conservation implications
Fig. 1. Map of the study area showing transects containing feeding signs of Bornean elephant in the study area in Tulin Onsoi Sub-district, North Kalimantan Province (after Suba et al., 2018).
Fig. 3 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 3. Percentage composition of main food items to the diet of Astyanax aff. bimaculatus. Number of stomachs used (>20% fullness) is shown above each column.
Fig. 2 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 2. DCA plot for food items found in the diet of Astyanax aff. bimaculatus, in aquatic habitats of the Brazilian semi-arid region. v = Seridó/Borborema and Δ = Buíque/Vale do Ipojuca. Codes represent sampling sites (Table 1) and sampling occasions (1 - April, 2 - June, 3 - October, and 4 - December).
Fig. 1 in Food resources used by three species of fish in the semi-arid region of Brazil
Fig. 1. Study areas showing Seridó/Borborema - RN/PB and Buíque/Vale do Ipojuca - PE. Towns and cities are denoted by squares. Study sites are: 1 - Seridó River, 2 - Cipó stream, 3 - Recanto Reservoir, 4 - Escama-Peixe stream, 5 - Mulungú Reservoir, and 6 - Gurjão Reservoir.
Fig. 2 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 2. Mean (± S.D.) δ13C and δ15N values of consumers (fishes, crustaceans and mollusks) and primary producers in Polo Stream and San Pedrito Lagoon. Species identities are in Table 1.
Fig. 1 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 1. Map depicting the location and extent of Centla Wetland Biosphere Reserve (CWBR) in Southern Mexico. The detailed study area map illustrates locations of field collections at Polo Stream and San Pedrito Lagoon along the Grijalva and Usumacinta Rivers in Tabasco, Mexico.
Fig. 3 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 3. Cluster analysis of diet similarity among species, showing the trophic guilds of the fish community from the Nova Avanhandava Reservoir.
Fig. 4 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 4. Relative catch per unit effort (CPUE) in number (CPUEn) and biomass (CPUEb) of trophic guilds of the fish community of the Nova Avanhandava Reservoir.
Fig. 1 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 1. Position of the NovaAvanhandava Reservoir in the Tietê River, and the location of the sampling stretches: Santa Bárbara stretch (1) and Bonito Stretch (2) (modified from CESP, 1998). Squares = municipalities of São Paulo State.
Fig. 4 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 4. Niche breadth values to fish assemblage in the Sinhá Mariana pond (Mato Grosso State, Brazil) using Levin's stan- dardized index, during rainy and dry seasons.
Fig. 5 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 5. Values of trophic niche breadth (mean ± standard error) of fish species in the Sinhá Mariana pond (Mato Grosso State, Brazil) during rainy and dry seasons.
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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.