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2,050 results for “southern Brazil”
Fig. 3 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 3. True diversity values (TD), order q = 1, of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil. Equal letters indicate overlap of the 95% confidence intervals (PP, Pine Plantation; RF, Riparian Forest; AP, Araucaria Plantation; NR, Natural Regeneration forest; HA, High Altitude forest).
Fig. 2 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 2. Rarefaction curves of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil, with a 95% confidence interval (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest).
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).
Fig. 1 in Helminth's assemblage of Trachemys dorbigni (Testudines: Emydidae) in southern Brazil: implications of anthropogenic environments and host's genders
Fig. 1. Overall layout of the collection environments in the study of helminth assemblage of Trachemys dorbigni in southern Brazil: A, detail of the Centro Agropecuário da Palma (UFPel), rural area of CapÃo do LeÃo, State of Rio Grande do Sul, Brazil; B, detail of the urban Área of Pelotas, Rio Grande do Sul, Brazil. Source: extracted and modified the site Google® Earth (©2014 Google – Images ©2014 Digital Globe).
Fig. 3 in Bird visits and resource use in Butia odorata (Arecaceae) palm groves in southern Brazil
Fig. 3. Average indices of flower and ripe fruit supply of Butia odorata and number of frugivory and insectivory events in the evaluated months, Tapes, Rio Grande do Sul, Brazil.
Fig. 1. 1 in Bird visits and resource use in Butia odorata (Arecaceae) palm groves in southern Brazil
Fig. 1. 1. Study site location at municipality of Tapes, Rio Grande do Sul, Brazil. 2. Photo of an area of the palm grove (Photo by Cyro Menezes da Gloria). 3. Sampling area outlined in red; Map image created in R Studio; Study area in Google Earth, Google (C), 2019 (Edited by Cyro Menezes da GlÓria).
Figs 2, 3 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Figs 2, 3. Aquatic Oligochaeta in wetlands and irrigated rice fields in the state of Rio Grande do Sul, Brazil: 2, taxonomic richness; 3, species composition.
Fig. 1 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Fig. 1. Location of the study regions and study sites in Rio Grande do Sul state, Brazil. Abbreviations of the study regions: FV = 'Foz do Vacacaí' study region; SD = 'São Donato' study region; SG = 'southwestern' study region. Numbers indicate the study sites and follow Table I.
Fig. 1. Aegla parana Schmitt, 1942 in Morphological sexual maturity of the freshwater anomuran crab Aegla parana (Crustacea, Decapoda, Aeglidae) from Negro River Sub-basin, Upper Iguaçu Basin, southern Brazil
Fig. 1. Aegla parana Schmitt, 1942. Relationship between the length of the major propodus (LMAP) and the carapace length (CL) of the males. The inflection point is at 23.15 mm CL. Black circles represent jUveniles and adults.
Fig. 5 in Seasonality of dung beetles (Coleoptera: Scarabaeinae) in Atlantic Forest sites with different levels of disturbance in southern Brazil
Fig. 5. Non-metric multidimensional scaling (BraY-Curtis coefficient) for samplings of the four Atlantic Forest sites sampled in Rio Grande do Sul state, Brazil, between MaY 2016 and JulY 2017. Red circles represent the most similar clusters.
Fig. 4 in Seasonality of dung beetles (Coleoptera: Scarabaeinae) in Atlantic Forest sites with different levels of disturbance in southern Brazil
Fig. 4. Cluster analYsis of the dung beetle similaritY (Jaccard coefficient) between the four Atlantic Forest sites sampled in Rio Grande do Sul state, Brazil: Turvo State Park (TSPK); Moreno Fortes Biological Reserve (MRBR); Morro do Cerrito (MOCE); Val Feltrina (VAFE) between MaY 2016 and JulY 2017.
Fig. 3 in Seasonality of dung beetles (Coleoptera: Scarabaeinae) in Atlantic Forest sites with different levels of disturbance in southern Brazil
Fig. 3. Linear regression between the climatic variables (precipitation and temperature) and dung beetle abundance and richness sampled in Atlantic Forest sites of Rio Grande do Sul state (Turvo State Park, Moreno Fortes Biological Reserve, Morro do Cerrito, Val Feltrina) between MaY 2016 and JulY 2017.
Fig. 2 in Seasonality of dung beetles (Coleoptera: Scarabaeinae) in Atlantic Forest sites with different levels of disturbance in southern Brazil
Fig. 2. Rarefaction and extrapolation curves of the assemblages of Scarabaeinae sampled in four Atlantic Forest sites in Rio Grande do Sul state, Brazil, during MaY 2016 to JulY 2017.
Fig. 1 in Seasonality of dung beetles (Coleoptera: Scarabaeinae) in Atlantic Forest sites with different levels of disturbance in southern Brazil
Fig. 1. Location of the four Atlantic Forest sites sampled in Rio Grande do Sul state, Brazil, map and satellite images: A, Turvo State Park, Derrubadas; B, Moreno Fortes Biological Reserve, Dois IrmÃos das Missões; C, Morro do Cerrito, Santa Maria; D, Val Feltrina, Silveira Martins. Source: ArcGIS software map; satellite images Google Earth Explorer.
Figs 3, 4 in Morphological sexual maturity of the freshwater anomuran crab Aegla parana (Crustacea, Decapoda, Aeglidae) from Negro River Sub-basin, Upper Iguaçu Basin, southern Brazil
Figs 3, 4. Relationship between the size at the onset of the morphological sexual maturity and the maximum carapace length reached by males (Fig. 3) and females (Fig. 4) of the Aegla species. References: A. franca - BUENO & SHIMIZU (2009), A. platensis - OLIVEIRA & SANTOS (2011), A. manuniflata - TREVISAN & SANTOS (2012), A. georginae - COPATTI et al. (2015), A. castro – TAKANO et al. (2016), A. marginata - ADAM et al. (2018), Aegla parana – present study.
Figs 1-7 in Host-Parasite relationships and co-infection of nasal mites of Chrysomus ruficapillus (Passeriformes: Icteridae) in southern Brazil
Figs 1-7. Nasal mites parasites of Chrysomus ruficapillus (Vieillot, 1819) (Passeriformes: Icteridae) from southern of Brazil: 1, cavity nasal parasitized, circle highlights the location of mites in the nasal turbinates (Bar = 80 mm); 2, specimens of Ereynetidae and Rhinonyssidae (Bar =30 mm); 3; Boydaia agelaii Fain & Aitken, 1967 (Bar = 0.09 mm); 4, Sternostoma strandtmanni Furman, 1957 (Bar = 0.12 mm); 5, Ptilonyssus icteridius (Strandtmann & Furman, 1956) (Bar = 0.14 mm); 6, Ptilonyssus sairae Castro, 1948 (Bar = 0.15 mm); 7, Ptilonyssus sp (Bar = 0.2 mm).
Figs 1, 2 in Revalidation of Saccocoelioides bacilliformis (Digenea, Haploporidae) parasitizing species of Astyanax (Characiformes, Characidae) from southern Brazil
Figs 1, 2. Incomplete diagrams of Saccocoelioides bacilliformis Szidat, 1973: 1, composite, ventral view of a specimen in toto. Scale bar = 100 µm; 2, dEtail of thE final portion of thE rEproductivE systEm (gp, gEnital pore; hd, hermaphroditic duct; hs, hermaphroditic sac; m, metraterm; p, pars prostatic; isv, internal seminal vesicle; esv, external seminal vesicle). Scale bar = 40 µm.
Fig. 7 in Breeding biology and conservation of hawk-eagles (Spizaetus spp.) Aves, Accipitridae) in southern Atlantic Forest, Brazil
Fig. 7. Nesting phenology of Ornate Hawk-Eagle (nest C). Chronological sequence from upper left to bottom right: nest with an egg (27 Sep 2008); egg; (27 Sep 2008); nestling – few days old (08 Nov 2008); adult on nest (16 Nov 2008); nestling about 10 days old (19 Nov 2008); nestling about 20 days old (28 Nov 2008); nestling about 40 days old (Dec 2008); Fledging (Apr 2009); Nest without chamber or traces of use (Apr 2009).
Fig. 6 in Breeding biology and conservation of hawk-eagles (Spizaetus spp.) Aves, Accipitridae) in southern Atlantic Forest, Brazil
Fig. 6. Nest of an Ornate Hawk-Eagle located 31 m in an Araucaria tree (DBH = 132 cm). Lateral view (upper right) and view from above (bottom right) with details of the chamber (with green leaves and sticks).
Fig. 4 in Breeding biology and conservation of hawk-eagles (Spizaetus spp.) Aves, Accipitridae) in southern Atlantic Forest, Brazil
Fig. 4. Nest of an Ornate Hawk-Eagle built 20 m in a Myrtaceae tree (DBH = 78.94 cm) (red circle). Lateral view (upper right) and view from above (bottom right) of the nest.
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.