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Figure 1 in Habitat structure and host plant specialization drive taxonomic andfunctional composition of Heteroptera in postfire successional habitats
Figure 1. Geographic location of the study area in NE Spain (inner rectangle) and distribution of sampled sites. Squares: burnt, logged, and subsoiled site (site S); Circles: burnt and logged site (site L); Triangles: repeat-burnt site (site R); Stars: unburnt site (site U). The striped area was logged after the 2003 fire and the squared area was subsoiled. Light and dark gray areas represent surfaces affected by one (2003) and two (1970 and 2003) fires, respectively. The green line is the limit of the natural park. The black area is a village.
Figure 1 in Efficiency of pitfall traps and snap traps in small terrestrial mammals depends on their diet composition
Figure 1. RDA biplot (first two axes) summarizing the effect of sampling method (triangles) on community composition (arrows) of small mammals. The first two eigenvalues were 0.23 and 0.36, respectively.
Figure 2 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 2. Cluster analysis (dendrogram) based on the biomass proportions of the diets of the seven species of birds of prey studied in Evros Delta.
Figure 1 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 1. Diet compiled for the most important prey taxa of the seven species of birds of prey studied in the Evros Delta, a) by biomass (upper graph) and b) by numbers (lower graph) (Shannon index/Evenness are shown below each species name).
Figure 8 in Assessment of terrestrial snails' diversity and composition in six forests of west central - Morocco along an altitudinal gradient
Figure 8. Dendogram of Jaccard similarities among habitats (paired group), cophenetic correlation: 0.924 (For site abbreviations, see Table 1).
Figure 7 in Assessment of terrestrial snails' diversity and composition in six forests of west central - Morocco along an altitudinal gradient
Figure 7. Heterogeneity of the forest sites using Whittaker's index (For site abbreviations, see Table 1).
Figure 3 in Assessment of terrestrial snails' diversity and composition in six forests of west central - Morocco along an altitudinal gradient
Figure 3. Correlation analysis between environmental parameters measured at each station. Scale colors and corresponding written values in the plot indicate Pearson's coefficients (For details see text).
Figure 1 in Assessment of terrestrial snails' diversity and composition in six forests of west central - Morocco along an altitudinal gradient
Figure 1. Photographs of the forest sites (ED: Essaouira Dunes; TL: Tlat Lhanchane; Our: Ourika; Azg: Azgour; Tam: Tamadout; Ouk: Oukaimeden). The pictures have been photographed by Guennoun F.Z. (2021).
Figure 8 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 8. Relationships between values of distribution coefficients (Kd Shell/Water Zn (A), Kd Shell/Water Sr (B) and Kd Shell/Water Al (C)) and principal component 1, revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 6. Normed PCA factorial graph F1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 6. Normed PCA factorial graph F1 × F2 of two revealed geographical groups of Beringiana beringiana samples (blue circles indicate samples from Primorsky Krai, Kunashir, Sakhalin, and Iturup islands; red circles indicate samples from Kamchatka Peninsula). Ellipses show 95 % confidence interval.
Figure 5 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 5. Relationships between Kd Shell/Sediment Al and Kd Shell/Water Al: (1) Peschanoye Lake, Kunashir Island, (2) Bolshoye Vavayskoye Lake, Sakhalin Island, (3) Vaskovskoye Lake, Primorsky Krai, (4) Lebedinoe Lake, Iturup Island, (5) Kurazhechnoye Lake, Kamchatka Peninsula, (6) Khalaktyrskoye Lake, Kamchatka Peninsula, (7) Chernoye Lake, Sakhalin Island.
Figure 4 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 4. Median joining networks of Beringiana beringiana (N = 50) based on the COI gene fragment. The circle size is proportional to the number of available sequences belonging to the given haplotype (the smallest = 1 sequence). The red numbers near branches indicate the number of nucleotide substitutions between haplotypes.
Figure 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 2. Shells of Beringiana beringiana specimens, collected from studied waterbodies: A – Kurazhechnoye Lake, Kamchatka Peninsula (voucher number RMBH biv1212/2), B – Vaskovskoye Lake, Primorsky Krai (RMBH biv1181/1), C – Lebedinoye Lake, Iturup Island (RMBH biv1254/2), D – Bolshoye Vavayskoye Lake, Sakhalin Island (RMBH biv1250/1), E - Peschanoye Lake, Kunashir Island (RMBH biv1251/1), F – Khalaktyrskoye Lake, Kamchatka Peninsula (RMBH biv1213/3). Scale bar = 50 mm.
Figure 1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 1. Map of the studied region. Lakes: (1) Kurazhechnoye, Kamchatka Peninsula (n = 5), (2) Khalaktyrskoye, Kamchatka Peninsula (n = 5), (3) Lebedinoye, Iturup Island (n = 3), (4) Peschanoye, Kunashir Island (n = 3), (5) Chernoye, Sakhalin Island (n = 3), (6) Bolshoye Vavayskoye, Sakhalin Island (n = 3), (7) Vaskovskoye, Primorsky Krai (n = 3). n reveals the number of collected shells of Beringiana beringiana.
Figure 3. Principal components 1 and 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 3. Principal components 1 and 2 visualized by drawing synthetic outlines of extreme (±2SD) and mean shell shapes of Beringiana beringiana. The umbo position marked by star.
Figure 11 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 11. Relationships between values of KAl and longitudinal cross-sectional area of shell (mm2), d Shell/Sediment revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 7 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 7. Relationships between Ca-normalized concentration of zinc in shells and principal component 1, (A), copper in shells and principal component 1 (B), revealed from the shell shape analysis of Beringiana beringiana: (1) Peschanoye Lake, Kunashir Island, (2) Lebedinoe Lake, Iturup Island, (3) Bolshoye Vavayskoye Lake, Sakhalin Island, (4) Kurazhechnoye Lake, Kamchatka Peninsula, (5) Vaskovskoye Lake, Primorsky Krai, (6) Khalaktyrskoye Lake, Kamchatka Peninsula.
Figure 10 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 10. Relationships between values of Kd Shell/Water Al (A), Kd Shell/Water P (B), Kd Shell/Water Fe (C) and longitudinal cross-sectional area of shell (mm2), revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 9 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 9. Relationships between Zn: Ca – ratio in Beringiana beringiana shells and longitudinal cross-sectional area of shell (mm2), revealed from shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 5 in Species composition and ecological structure of ground beetle communities (Coleoptera, Carabidae) in reclaimed rock dumps in the south of Western Siberia
Figure 5. Ratio of species (first columns) and numerical (second columns) abundance of ground beetle trophic classes, %
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.