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FIGURE 1 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 1: Map of RPPN Pedra D'Antas and RPPN Frei Caneca, at the Serra do Urubu mountain range municipalities of Jaqueira and Lagoa dos Gatos, Pernambuco State, Brazil, with the respectives study sites.
FIGURE 14 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 14: Reptile species recorded at the Serra do Urubu mountain range. (A) Amerotyphlops arenensis, (B) Crotalus durissus, (C) Lachesis muta.
FIGURE 13 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 13: Reptile species recorded at the Serra do Urubu mountain range. (A) Philodryas olfersii (Photo by C.O. Gussoni), (B) Pseudoboa nigra, (C) Sibynomorphus sp. (D) Taeniophallus affinis, (E) Xenodon sp. (Photo by C.O. Gussoni), (F) Xenopholis scalaris, (G) Micrurus sp. (H) Micrurus lemniscatus carvalhoi.
FIGURE 9 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 9: Reptile species recorded at the Serra do Urubu mountain range. (A) Amphisbaena alba, (B) Amphisbaena pretrei, (C) Norops fuscoauratus, (D) Dactyloa punctata, (E) Diploglossus lessonae (juvenile), (F) Diploglossus lessonae (adult), (G) Ophiodes sp. (H) Hemidactylus mabouia (Photo by C.O. Gussoni).
FIGURE 7 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 7: Amphibians species recorded at the Serra do Urubu mountain range. (A) Proceratophrys renalis, (B) Lithobates palmipes, (C) Pristimantis ramagii, (D) Pristimantis sp.
FIGURE 5 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 5: Amphibians species recorded at the Serra do Urubu mountain range. (A) Scinax eurydice, (B) Scinax fuscomarginatus, (C) Scinax x-signatus pattern 1, (D) Scinax clade ruber, (E) Scinax nebulosus, (F) Scinax pachycrus, (G) Scinax x-signatus pattern 2, (H) Adenomera cf. hylaedactyla.
FIGURE 4 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 4: Amphibians species recorded at the Serra do Urubu mountain range. (A) Boana faber, (B) Boana freicanecae, (C) Boana raniceps (Photo by C.O. Gussoni), (D) Boana semilineata, (E) Phyllodytes edelmoi, (F) Phyllodytes gyrinaethes, (G) Pithecopus nordestinus, (H) Scinax auratus.
FIGURE 12 in The herpetofauna of the Serra do Urubu mountain range: a key biodiversity area for conservation in the brazilian atlantic forest
FIGURE 12: Reptile species recorded at the Serra do Urubu mountain range. (A) Tantilla melanocephala, (B) Atractus potschi, (C) Dipsas sazimai, (D) Erythrolamprus aesculapii (Photo by C.O. Gussoni), (E) Imantodes cenchoa, (F) Leptodeira annulata, (G) Oxyrhopus petolarius (Photo by C.O. Gussoni), (H) Oxyrhopus trigeminus.
Data from: The importance of biotic interactions in distribution models of wild bees depends on the type of ecological relations, spatial scale and range
<p>Studies have found that biotic information can play an important role in shaping the distribution of species even at large scales. However, results from species distribution models are not always consistent among studies, and the underlying factors that influence the importance of biotic information to distribution models, are unclear. 2. We studied wild bees and plants, and cleptoparasite bees and their hosts in the Netherlands to evaluate how the inclusion of their biotic interactions affects the performance of species distribution models. We assessed model performance through spatial block cross-validation and by comparing models with interactions to models where the interacting species were randomized. Finally, we evaluated how, (i) spatial resolution, (ii) taxonomic rank (genus or species), (iii) degree of specialization, (iv) distribution of the biotic factor, (v) bee body size and (vi) type of biotic interaction, affect the importance of biotic interactions in shaping the distribution of wild bee species using generalized linear models. 3. We found that the models of wild bees improved when the biotic factor was included. The model performance improved the most for parasitic bees. Spatial resolution, taxonomic rank, distribution range of the biotic factor, and degree of specialization of the modelled species all influenced the importance of the biotic interaction to the models. 4. We encourage researchers to include biotic interactions in species distribution models, especially for specialized species and when the biotic factor has a limited distribution range. However, before adding the biotic factor we suggest considering different spatial resolutions and taxonomic ranks of the biotic factor. We recommend using single species or genus data as a biotic factor in the models of specialist species and for the generalist species, we recommend using an approximate measure of interactions, such as flower richness.</p>
Figure 2. – Maximum Likelihood phylogenetic tree inferred with the 13 in The complete mitochondrial genome of Thymallus thymallus (Linnaeus, 1758) (Actinopterygii, Salmonidae) obtained by long range PCRs and double multiplexing
Figure 2. – Maximum Likelihood phylogenetic tree inferred with the 13 protein coding genes. The values of bootstrap are represent- ed beside the nodes.
Figure 1 in Range extension of the Atlantic herring Clupea harengus (Clupeiformes: Clupeidae) southern part of the Northeast Atlantic Ocean
Figure 1. – Map showing the location of records of Clupea harengus in the European Atlantic waters. The black dots constitute the historical captures reported in GBIF and the red dots represent the present records in the North of Spain between 2009 and 2018.
FIGURE 6 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 6. Photoplate of the Plášťovce and Hámor sections: A-C. Plášťovce section. A) lat. 48°9'23.53"N, lon. 18°57'26.67"E, fine grained tuffites. B) Lat. 48° 9'14.61", lon. 18°56'47.80", clast supported through-cross bedded gravels overlying fine grained tuffites. C) Lat. 48°9'28.24"N, lon. 18°57'28.60"E, main quarry wall exposing fine to coarse grained sand, clast supported massive gravels. D-G. Hámor section, lat. 48°12'51.66"N, lon. 19°31'35.74"E, D) Overall view of the outcropping sand. E-G) Alteration of through cross-bedded low-angle laminated sands and clast supported gravels with sandy matrix.
FIGURE 2 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 2. Lithology of the studied sections with sedimentological logs and paleoflow orientation. For codes of lithofacies see Appendix 1.
FIGURE 1. Location map. A, A in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 1. Location map. A, A) Position of Novohrad-Nógrád Basin within the Pannonian Basin System. Modified from Rybár et al., 2016. B) Location map of studied sections. C) Lithostratigraphic scheme. Explanatory notes: FPB- Fiľakovo-Pétervására Basin; DB- Danube Basin; NNB-Novohrad-Nógrád Basin. Modified from Gradstein et al., 2012.
FIGURE 9 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 9. Foraminifera and nannofossils – statistical results. A. Principal Component Analysis (PCA) of the nannofossil assemblages. B. Relative abundances of Reticulofenestra minuta and Coccolithus pelagicus in the main stratigraphic levels. C. Cluster diagram (Ward algorithm analysis) of the benthic foraminifera assemblages, D. Species diversity of benthic foraminifera showing relation to typical environment adopted from Murray (2006), E. Non-metric multidimensional scaling (nMDS) diagram of benthic foraminifera, F. Isotope analysis (δ18O, δ13C), G. Estimated paleodepths based on benthic foraminifera.
FIGURE 5 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 5. Photoplate of the Stredné Plachtince and Horné Strháre sections: A-F. Stredné Plachtince section, lat. 48°13'20.69"N, lon. 19°18'18.54"E. A) Main quarry wall exposing Príbelce sand topped by pyroclastic breccias. B-C) Bioturbated grouped bidirectional planar cross-bedded sand. D) Sand with symmetrical ripples marked by arrow. E) Contact between bidirectional and unidirectional cross-beds marked by tuffite layer. F) Contact between unidirectional cross-beds and through cross-bedded gravels topped by pyroclastic breccias. G-K. Horné Strháre section, lat. 48°15'57.91"N, lon. 19°21'9.08"E. G) Overall view of the quarry. H) unidirectional planar sandy cross-beds. I) Trough cross-bedded sand with mud drapes. J) Contact between trough cross-bedded sand with mud drapes and clast supported through cross-bedded gravels. K) Contact between tuffites and pyroclastic breccias. L) Boulder-sized clast of the paraconglomerate facies. For codes of lithofacies marked in italic see Appendix 1.
FIGURE 4 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 4. Photoplate of the Kosihovce and Príbelce sections: A-C. Kosihovce section, lat. 48°11'15.16"N, lon. 19°31'35.74"E. A) Fine-grained tuffites with faint lamination and symmetrical ripples. B) Detail of the sampling points. C) Fine-grained tuffite with faint lamination. For codes of lithofacies marked in italic see Appendix 1. D-J. Príbelce section, lat. 48°11'49.89"N, lon. 19°14'44.42"E. D) Type locality of the Príbelce Member, E) Fine to very coarse sand with grouped unidirectional cross-beds. F) Fine to very coarse sand with grouped bidirectional cross-beds, G) Detail of the symmetrical ripple composed of sand and tuffite. H) Grouped unidirectional trough cross-bedded sand. I) Pyroclastic breccia. J) Fossiliferous horizontally bedded clast supported gravels with sandy matrix. For codes of lithofacies marked in italic see Appendix 1.
FIGURE 3 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 3. Photoplate of the Čebovce and Trenč sections: A-C. Čebovce section, lat. 48°11'17.88"N, lon. 19°13'38.94"E, mud with faint lamination with slump bodies overlain by fine to coarse grained sand with pebbles. DG. Trenč section, lat. 48°13'20.47"N, lon. 19°14'44.42"E. D) Southern foot of the Strážna hora hill with oyster reefs outcropping at the forest boundary. E) Ostrea bed. F) Clast supported massive gravels. G) Fine-grained tuffite. For codes of lithofacies marked in italic see Appendix 1.
Fig. 6 in Feeding and reproductive ecology of Cichla piquiti Kullander & Ferreira, 2006 within its native range, Lajeado reservoir, rio Tocantins basin
Fig. 6. Temporal variation in body condition and fat storage for immature (a and c respectively) and adult fish (b and d respectively of Cichla piquiti). These figures show adjusted means ±SE derived from an Analysis of Covariance (see Table 4).
Fig. 5 in Feeding and reproductive ecology of Cichla piquiti Kullander & Ferreira, 2006 within its native range, Lajeado reservoir, rio Tocantins basin
Fig. 5. Variation in reproductive effort of Cichla piquiti over time (mean ±SE), measured as the gonad-somatic index (GSI, %) calculated separately for males and females.
ScienceDex guides
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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.