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Figure 1. Pudica wandiquei n in Description of Pudica wandiquei n. sp. (Heligmonellidae: Pudicinae), a nematode found infecting Proechimys simonsi (Rodentia: Echimyidae) in the Brazilian Amazon
Figure 1. Pudica wandiquei n. sp. (A) anterior extremity, ventral view; (B) head, apical view; (C) Male, ventral view, posterior extremity; (D) tips of spicules; (E) Female, ventral view, posterior extremity. Scale bars in A and C50 Μm; B and D10 Μm; E 100 Μm.
Fig. 1 in Hymenopteran parasitoids associated with scale insects (Hemiptera: Coccoidea) in tropical fruit trees in the eastern Amazon, Brazil
Fig. 1. Interactions between species of scale insects and parasitoids with the total number of interactions with each species of host plant (Jun 2014 to Aug 2015) at Maranhão Island, Maranhão, Brazil.
Reflectometry with Galileo Signals: Ocean and Amazon Basin events from CYGNSS
<p>This dataset contains the results of the work described in "Reflectometry with Galileo Signals: Ocean and<br>Amazon Basin events from CYGNSS" paper, presented in </p> <p>In that work, we have processed Galileo reflectometry events, based on the CYGNSS mission database for 'ocean' and 'Amazon Basin' events.<br><br>For further detail, see the paper.</p>
Figure 1. A in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 1. A) First sightings of Arapaima gigas (pirarucu) by fishermen in the area of the Santo Antônio reservoir (Madeira River) by decade; B) the possible origin of Arapaima gigas (pirarucu) in the Brazil-Bolivia border fish market and in the Santo Antônio Reservoir, where new occurrences are reported. Legend: Pisci = Fish farming.
Figure 2 in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 2. Madeira River study area highlighting the locality (grey square) where the native pirarucu (Araipama gigas) populations exist, and the localities (asterisks) where non-native pirarucu have expanded since 2000 according to the reports of fishermen. Inserted graphs show the fishery production landed in the region of Guajará Mirim (Brazil) in 2016 (Source: present study) and Riberalta (Bolívia) in 2011 (Méndez et al. 2012).
Figure 3 in Is there a future for artisanal fishing in the Amazon? The case of Arapaima gigas
Figure 3. Invasive Arapaima gigas (pirarucu) fished by a local angler in Mamoré River at Brazil-Bolivia border (Picture courtesy of: Fihsher's Association of Guajará Mirim).
FIG. 2 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 2. — Mean and standard error of the richness of epiphytic bryophytes in the height zones per vegetation type. Lowercase letters are used to indicate differences between height zones and uppercase letters to indicate differences between height zones compared in the different vegetation types in Igapó.
FIG. 4 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 4. — Non-metric multidimensional scaling (NMDS) plot of samples per zone in the vegetation types (stress = 0.1942709) using Sørensen distance. (Z1, base to 1 m; Z2, lower trunk; Z3, upper trunk; Z4, inner canopy; Z5, outer sun-lit twigs/leaves [outer canopy]).
FIG. 3. — A-C in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 3. — A-C, Overview of the number of species and shared species per vegetation type. Horizontal bars represent the total richness per zone; vertical bars represent the number of species found per each zone (points) and the number of species shared between zones (points connected by lines); D, mean and standard error of species richness per guild in the zones; E-G, association between zones and guilds based on the absolute frequency of taxa. Abbrevations: Sun, Sun specialist epiphytes; Sha, Shade specialist epiphytes, Gen, Generalist epiphytes; Z, Zone.
FIG. 1 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 1. — Sampling methods and study area. TABLE 2. — Similarity (Sørensen) and dissimilarity (Bray-Curtis) indices between height zones and vegetation types. Species richness and diversity per height zone are highlighted in gray.
Fig. 2 in Molecular diagnosis of the arowanas Osteoglossum ferreirai Kanazawa, 1966 and O. bicirrhossum (Cuvier, 1829) from the Orinoco and Amazon River basins
Fig. 2. Maximum likelihood phylogenetic hypothesis of relationships of Osteoglossum individuals representing the species O. bicirrhossum and O. ferreirai.
Fig. 1 in Molecular diagnosis of the arowanas Osteoglossum ferreirai Kanazawa, 1966 and O. bicirrhossum (Cuvier, 1829) from the Orinoco and Amazon River basins
Fig. 1. Sampling localities in the Amazon and Orinoco basins of O. bicirrhossum and O. ferreirai. Base map was obtained from Online Map Creation (Geomar) currently available as Planiglobe (http://www.planiglobe.com/).
Fig. 1 in Functional trophic composition of the ichthyofauna of forest streams in eastern Brazilian Amazon
Fig. 1. Location of the 18 sampled streams reaches (enlarged detail) in the northeastern region of Pará. The road network shown on the map relates only to the main roads.
Fig. 3 in Cytogenetic and DNA barcoding reveals high divergence within the trahira, Hoplias malabaricus (Characiformes: Erythrinidae) from the lower Amazon River
Fig. 3. Phylogenetic trees of Hoplias malabaricus haplotypes based on COI mitochondrial gene sequences. a) Neighbor-Joining; b) Maximum likelihood and c) Maximum Parsimony. Values in the nodes indicate the statistical support from bootstrap test.
Fig. 2. C in Cytogenetic and DNA barcoding reveals high divergence within the trahira, Hoplias malabaricus (Characiformes: Erythrinidae) from the lower Amazon River
Fig. 2. C-banded karyotype of karyomorph C of Hoplias malabaricus, from lower Amazonas River. M - metacentric, SM - submetacentric. Bar = 10µm.
Fig. 1 in Cytogenetic and DNA barcoding reveals high divergence within the trahira, Hoplias malabaricus (Characiformes: Erythrinidae) from the lower Amazon River
Fig. 1. Map of collection sites of Hoplias malabaricus in the lower Amazonas River. Localities: 1 - Sapucuá lake; 2 - Óbidos; 3 - Juá lake; 4 - Urumari stream; 5 - Maicá lake; 6 - Almeirim. A map of Brazil (box on left corner) with the Pará State shaded in gray indicates the studied area by a white rectangle.
Fig. 4 in Description of a new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Amazon basin, Amazonas State, Brazil
Fig. 4. Scatter diagram of nine species of Microglanis on first and second axis of size-free Canonical Variates Analysis: (circle) Microglanis iheringi (n = 4); (diamond) M. pellopterygius (n = 2); (asterisk) M. poecilus (n = 5); (triangle) M. secundus (n = 8); (plus) M. cibelae (n = 12); (square) M. cottoides (n = 5); (black square) M. malabarbai (n = 2); (X) M. nigripinnis (n = 3); (black circle) M. lundbergi (n = 8).
Fig. 2 in Description of a new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Amazon basin, Amazonas State, Brazil
Fig. 2. Dorsal view of left pectoral spine of Microglanis lundbergi INPA 28577, 27.7 mm SL, holotype, rio Solimões, Tefé, Costa das Capivaras, Amazonas, Brazil. Scale bar = 1 mm.
Fig. 3 in Description of a new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Amazon basin, Amazonas State, Brazil
Fig. 3. Map of distribution (black dots) of Microglanis lundbergi. Red star = type locality. Brazilian states acronym: AC = Acre; AM = Amazonas; AP = Amapá; MT = Mato Grosso; PA = Pará; RR = Roraima.
Fig. 1 in Description of a new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Amazon basin, Amazonas State, Brazil
Fig. 1. Dorsal (a), lateral (b) and ventral (c) view of Microglanis lundbergi, INPA 28577, holotype, 27.7 mm SL, rio Solimões, Tefé, Costa das Capivaras, Amazonas, Brazil.
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.