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Figure 1 in Helminths of some tree frogs of the families Hylidae and Phyllomedusidae in an Atlantic rainforest fragment, Brazil
Figure 1. Location of the Estação Ecológica do Tapacurá, an Atlantic Rainforest fragment located in the state of Pernambuco within the Brazilian Atlantic Rainforest domain, north-east Brazil.
Figure 2 in Effects of fragmentation on genetic variation in populations of the terrestrial earthworm Drawida japonica Michaelsen, 1892 (Oligochaeta, Moniligastridae) in Shandong and Liaodong peninsulas, China
Figure 2. Maximum-parsimony (MP) tree of the unique haplotypes. Numbers at nodes represent bootstrap values (> 50) as a measure of support.
Figure 4 in Effects of fragmentation on genetic variation in populations of the terrestrial earthworm Drawida japonica Michaelsen, 1892 (Oligochaeta, Moniligastridae) in Shandong and Liaodong peninsulas, China
Figure 4. Mismatch curve of nucleotide pairwise based on 16S sequences. Exp, expected value; Obs, observed value.
Figure 3 in Effects of fragmentation on genetic variation in populations of the terrestrial earthworm Drawida japonica Michaelsen, 1892 (Oligochaeta, Moniligastridae) in Shandong and Liaodong peninsulas, China
Figure 3. Maximum-likelihood (ML) tree of the unique haplotypes. Bootstrap values (> 50) are shown on the nodes; Bayesian inference (BI) tree based on the analysis of the unique haplotypes. Posterior probability values (> 0.5) are shown.
Figure 5 in Effects of fragmentation on genetic variation in populations of the terrestrial earthworm Drawida japonica Michaelsen, 1892 (Oligochaeta, Moniligastridae) in Shandong and Liaodong peninsulas, China
Figure 5. Mismatch curve of nucleotide pairwise based on 28S sequences. Exp, expected value; Obs, observed value.
Figure 2 in Soil oribatid mite (Acari: Oribatida) diversity and composition in semi-deciduous forest fragments in eastern Amazonia and comparison with the surrounding savanna matrix
Figure 2. Non-metric multidimensional scaling (NMDS) ordination in two dimensions of the oribatid mite community inhabiting 16 plots in savanna and 38 plots in forest fragments. Ordination was based on abundance data.
Figure 1 in Soil oribatid mite (Acari: Oribatida) diversity and composition in semi-deciduous forest fragments in eastern Amazonia and comparison with the surrounding savanna matrix
Figure 1. Map showing the Alter do Chão region, Pará, Brazil. White represents savanna vegetation; dark grey represents forest fragments and the surrounding continuous forest; light grey in the left side of the figure represents the Tapajós River. Triangles represent the 16 plots in forest fragments; black squares represent 38 plots in savanna (modified from Vasconcelos and Vilhena 2006).
Figure 3 in Soil oribatid mite (Acari: Oribatida) diversity and composition in semi-deciduous forest fragments in eastern Amazonia and comparison with the surrounding savanna matrix
Figure 3. Whittaker plot of oribatid mites collected in (A) forest fragments and (B) savanna vegetation, near the village of Alter do Chão, in the Brazilian state of Pará, Brazil. Species are organized in order of decreasing relative abundance.
Figure 1 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 1. Map of the state of Espírito Santo, Brazil, showing the distribution of fragments sampled in Santa Teresa region (SF, small-sized fragments; MF, medium-sized fragments; LF, large-sized fragments).
Figure 3 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 3. Dendrogram based on a cluster analysis of abundance patterns of 19 species of small mammals sampled in eight study areas. Grouping method WPGMA and similarity index of morisita.
Figure 2 in Abundance and richness of small mammals in fragmented Atlantic Forest of southeastern Brazil
Figure 2. Number of species and individuals in one large (three sampling grids), two mediumsized and three small fragments.
Figure 5 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 5. Histogram showing the frequency of 1000 randomly generated simulations, based on the actual matrix data for small mammals from savannah fragments of different sizes. In the simulations, groups of species were allowed to occur randomly in each fragment, generating a normal distribution. Notes: Arrow indicates the degree of nestedness observed for the actual data which was significanty higher than expected by chance (p = 0.023); NODF was the metric used for nestedness analysis (Guimarães and Guimarães 2006; Almeida-Neto et al. 2008).
Figure 2 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 2. (A) Estimated number of trees (<20 cm diameter breast height) and number of shrubs; (B) canopy cover and canopy height in five fragments of woodland savannah in southwestern Brazil. Notes: Black squares, trees; open triangles, shrubs; open squares, canopy cover; black triangles, canopy height; numbers in parentheses are related to smaller and larger remnant units respectively for a given size category.
Figure 4 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 4. Diagram showing non-metric multidimensional scaling analysis (Bray-Curtis distance measure) results for composition and abundance of small mammals recorded in woodland fragments and gallery forests of south-western Brazil.
Figure 1 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 1. View of the study region in Dois Irmãos do Buriti and Terenos municipalities, state of Mato Grosso do Sul, south-western Brazil, showing the woodland savannah fragments studied and gallery forest along rivers and creeks (Cachoeirão River, crossing the landscape from right to left). Source: Embrapa Monitoramento por Satélite, Brazil.
Figure 3 in Mammals in a fragmented savannah landscape in south-western Brazil
Figure 3. Species richness and abundance variation of small mammals in fragments of different sizes in a woodland savannah region of south-western Brazil. Notes: Points are mean values; bars are maximum and minimum amplitudes for the size category; all species with at least 18 individuals sampled are shown; species of M. domestica, T. macrurus, C. callidus, and T. pachyurus had significantly different abundances (G> 17; p <0.01) among fragments, but only G. agilis (r = –0.90), M. domestica (r = 0.87), and T. pachyurus (r = 1.00) were significantly correlated with fragment size (p ≤ 0.05).
Figure 3 in Nest-site microhabitat association of red-billed leiothrix in subtropical fragmented forest in central China: evidence for a reverse edge effect on nest predation risk?
Figure 3. Nonmetric multidimensional scaling (NMS) ordination of 237 sample units of microhabitat characteristics in the forest, and the joint plot of NMS scores with important microhabitat variables (r2> 0.2). The first and third axes represent 30% and 46% of the total variation, respectively.
Figure 4 in Nest-site microhabitat association of red-billed leiothrix in subtropical fragmented forest in central China: evidence for a reverse edge effect on nest predation risk?
Figure 4. Nonmetric multidimensional scaling (NMS) ordination of 134 sample units of microhabitat characteristics in the scrub-grassland, and the joint plot of NMS scores with important microhabitat variables (r2> 0.2). The first and second axes represent 78% and 15% of the total variation, respectively.
Figure 1 in Nest-site microhabitat association of red-billed leiothrix in subtropical fragmented forest in central China: evidence for a reverse edge effect on nest predation risk?
Figure 1. Study areas and vegetation types for nest-site selection of the red-billed leiothrix in Daweishan Nature Reserve (DSNR; 28°20′54″–28°28′47″N, 114°01′51″–114°12′52″E), Hunan Province, China.
Figure 4 in The social wasps (Hymenoptera: Vespidae: Polistinae) of a fragment of Atlantic Forest in southern Bahia, Brazil
Figure 4. (A, B) Accumulation and rarefaction curves for the wasps collected employing the three methodologies.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.