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5,864 results for “species diversity”

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FIGURE 1 in High rDNA polymorphisms in Astyanax lacustris (Characiformes: Characidae): new insights about the cryptic diversity in A. bimaculatus species complex with emphasis on the Paraná River basin

FIGURE 1 | Sampling sites of the specimens (in detail). Remaining points correspond to the sequences from BOLD System. Symbols represent the haplogroups recovered here. Haplogroup 1 represent specimens of Astyanax lacustris and one A. bimaculatus (highlighted with an asterisk*). Haplogroup 2 has only A. lacustris specimens. Haplogroup 3 indicates only one A. bimaculatus specimen. Outgroup is represented by A. scabripinnis and A. cf. fasciatus. VR = Vila Rica, SS = Sub-Sede, CA = Esquina Céu Azul, SG = São Gabriel.

opencc-by-4.0Jun 2022View details →
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FIGURE 2 in High rDNA polymorphisms in Astyanax lacustris (Characiformes: Characidae): new insights about the cryptic diversity in A. bimaculatus species complex with emphasis on the Paraná River basin

FIGURE 2 | Karyotypes of Astyanax lacustris from the Sub-Sede population representing all populations analyzed in this paper. Metaphase in Giemsa with Ag-NORs in boxes.

opencc-by-4.0Jun 2022View details →
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Fig. 1 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns

Fig. 1 Measured traits and specimen habitus (examples). Schematic drawings of a Sericini beetle (from Ahrens, 2004): A dorsal view; D partial lateral aspect; B head, dorsal view, C head lateral view; E leg, ventrolateral view; F Maladera cardoni; G Neoserica sp.; H Anomioserica sp.; I Oxyserica sp.; J Symmela mutabilis; K Astanea producta. EL maximal elytra length, EW maximal body width, MEL maximal length of metepisternum, ED maximal eye diameter, IOD minimal interocular distance, MCL maximal length of metacoxa, MTL maximal length of metatibia, MTW maximal width of metatibia

opencc-by-4.0Oct 2021View details →
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Fig. 5 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns

Fig. 5 Patterns of disparity derived from discrete morphological data: plots of axis 1 and 2 from principal coordinate analysis. Color coding of Neotropical genera corresponds to that of Fig. 4

opencc-by-4.0Oct 2021View details →
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Fig. 3 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns

Fig. 3 Boxplots for selected genera of the total body length (in mm), of the ratio maximal body width/ maximal elytra length (EL), of the ratio metatibial length/maximal metatibial width, of the ratio maxi-

opencc-by-4.0Oct 2021View details →
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Fig. 4 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns

Fig. 4 Patterns of disparity derived from morphospace: plots of PC 1 and 2 A raw data (all); B raw data (BL excluded), C log-normalized data (all); D log-normalized data (BL excluded)

opencc-by-4.0Oct 2021View details →
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Fig. 2 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns

Fig. 2 Illustration of potential trait correlation: A elytral length vs total body length, B maximum body width vs. vs total body length, C maximum body width vs. elytral length, D size of eyes (i.e., maximum ratio ocular diameter/minimum interocular distance) vs maxi-

opencc-by-4.0Oct 2021View details →
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Figure 6 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 6. Principal component analysis (PCA) graph (biplot) showing the consistency between the variation in the otoliths shape (OS) and the variation in fatty acid composition between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia.

opencc-by-4.0Dec 2022View details →
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Figure 4 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 4. Principal component analysis (PCA) graph (biplot) showing the barycenter () projection of the left (L) and right (R) otolith shape values between (a) and within (b) males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.

opencc-by-4.0Dec 2022View details →
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Figure 5 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 5. Hierarchical ascending classification (HAC) dendrogram generated based on the left and right otoliths shape values of dissimilarity between individuals of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.

opencc-by-4.0Dec 2022View details →
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Figure 3 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 3. (a) Discriminant function analysis (DFA) and (b) principal component analysis (PCA) graph (biplot) showing the barycenter projection and distribution of the fatty acid composition percentage values between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. T.m.: T. mediterraneus.

opencc-by-4.0Dec 2022View details →
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Figure 2 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 2. Real images of the left (L) and right (R) otoliths of (A) T. mediterraneus, (B) S. pilchardus, (C) C. auratus, (D) T. draco, (E) G. niger, and (F) M. barbatus individuals collected from the five stations in the Gulf of Tunis, Tunisia.

opencc-by-4.0Dec 2022View details →
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Figure 1 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses

Figure 1. Study area and location of the sampling stations (■) from which individuals of the six species were collected from the Gulf of Tunis, Tunisia.

opencc-by-4.0Dec 2022View details →
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Figure 8 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 8. (A) maximum likelihood (ML) phylogenetic tree of Pseudodon and (B) haplotype network of P. walpolei inferred from the COI dataset. Values at nodes indicate Bayesian inference (BI) posterior probability percentage/ML ultrafast bootstrap values. Support values>95% for both phylogenetic analyses are indicated by an asterisk. Support values marked with '-' indicate nodes that differ in the BI tree.

opencc-by-4.0Nov 2024View details →
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Figure 7 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 7. (A) phylogenetic tree of Lens, and (B) haplotype network of the L. contradens–lugens–micropterus clade inferred from the COI dataset.

opencc-by-4.0Nov 2024View details →
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Figure 6 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 6. (A) maximum likelihood (ML) phylogenetic tree and (B) haplotype network of Rectidens inferred from the COI dataset. Values at nodes indicate Bayesian inference (BI) posterior probability percentage/ML ultrafast bootstrap values. Support values>95% for both phylogenetic analyses are indicated by an asterisk. Support values marked with '-' indicate nodes that differ in the BI tree.

opencc-by-4.0Nov 2024View details →
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Figure 5 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 5. Images of type localities of (A) Ctenodesma mawonae, i.e. Sungai Sebua Jebung in the Sarawak River basin, Jambusan, Bau, Sarawak, Malaysian Borneo, and (B) Ctenodesma bersinara and Rectidens lauris, i.e. Sungai Rempangi, Pawan River basin, West Kalimantan, Indonesian Borneo.

opencc-by-4.0Nov 2024View details →
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Figure 4 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 4. Holotypes of Ctenodesma bersinara, Sungai Rempangi, Pawan River basin, West Kalimantan, Indonesian Borneo; Ctenodesma mawonae, Sungai Sebua Jebung, Sarawak River basin, Jambusan, Bau, Sarawak, Malaysian Borneo; and Rectidens lauris, Sungai Rempangi, Pawan River basin, West Kalimantan, Borneo. Abbreviations: FKH, Fahutan Kapuas Hulu Collection, Tanjungpura University, Indonesia; FRST, Faculty of Resource Science and Technology Collection, Universiti Malaysia Sarawak, Malaysia.

opencc-by-4.0Nov 2024View details →
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Figure 2 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 2. Maximum likelihood (ML) phylogenetic tree inferred from the combined (COI + 16S + ND1 + 18S + 28S) dataset. Values at nodes indicate Bayesian inference (BI) posterior probability percentage/ML ultrafast bootstrap values. Support values>95% for both phylogenetic analyses are indicated by an asterisk. Support values marked with '-' indicate nodes that differ in the BI tree. Species present in Borneo in bold. Species for which DNA sequences are first reported in the present paper in red. Gonideinae clades marked in red; non-Gonideinae clades marked in green.

opencc-by-4.0Nov 2024View details →
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Figure 1 in High endemic freshwater mussel (Bivalvia: Unionida) diversity in western Borneo, with description of three new species

Figure 1. Map of western Borneo, showing sites and species of freshwater mussels (Bivalvia: Unionida) found and collected during fieldwork in 2019 and 2022. Protected Areas shapefiles derived from UNEP-WCMC and IUCN (2023). HydroBASINS (Lehner and Grill 2013) shown as solid (level 4) and dashed (level 6) lines.

opencc-by-4.0Nov 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

abode-home-cage
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.

ibl
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