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Fig. 1 in Spatial distribution of Hyalella patagonica Cunningham, 1871 (Amphipoda) on Andean Patagonian river (Truful-Truful river, 38°S, Araucania region, Chile)
Fig. 1. Map of studied site, Truful-Truful, Conguillío National Park, Chile. Fig. 1. Mapa del sitio en estudio, Truful-Truful, Parque Nacional Conguillío, Chile.
Fig. 2 in Spatial distribution of Hyalella patagonica Cunningham, 1871 (Amphipoda) on Andean Patagonian river (Truful-Truful river, 38°S, Araucania region, Chile)
Fig. 2. Graph of estimation of negative binomial distribution for H. patagonica population of Truful-Truful river.
Figure 1 in Perceptions of the Andean condor in the urban population of Ecuador
Figure 1. Study site, highlights the sierra region of Ecuador and the Antisana National Park (Antisana N. P.).
Figura 2 in Perceptions of the Andean condor in the urban population of Ecuador
Figura 2. Modelo logístico que explica la probabilidad de identificación del cóndor andino por parte de la población urbana del Ecuador. P = probabilidad; línea gris = mujeres; línea negra = hombres.
Fig. 8 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 8. Geometric Morphometric Analysis applied to O. hatcheri individuals. Left: plot of DF3 vs. DF2 showing means and 95% confidence intervals by sampling sites (locality labels as in Fig. 1) NIHL (white triangle), CDP (black circle), 7: PELE (gray square), PDA (black triangle), MITO (black diamond), CARI (white square), EPU (black and white diamond), RIV (gray circle), ROS (white diamond), AME (black square), CHU (gray diamond), MUS (gray triangle), LBA (white circle), and PUY (white triangle). Right: deformation grids correspond to a relative warps analysis involving only CDP, PDA, and NIHL and PUY. Arrowheads indicate displacement of landmarks relative to consensus. Shaded area remarks relative position of landmarks 5 (anterior insertion of the first dorsal fin) and 12 (distal tip of the pelvic fin onto fish body).
Fig. 6 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 6. Probability for taxonomically identified Odontesthes hatcheri individuals of being O. hatcheri (left) and probability of taxonomically identified O. bonariensis individuals of being O. bonariensis (right). Number of fish, median, quartiles, and data outside 10 and 90th percentile are indicated. Water bodies are named as in Fig. 1.
Fig. 5 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 5. Morphometric differences between species. DF1 and residual DF2 (of the regression of DF2 versus Standard length) vs. Standard length (SL). Odontesthes bonariensis (white circle), O. hatcheri (black circle), and presumptive hybrids (gray circle).
Fig. 4 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 4. Geometric Morphometric Analysis applied to Odontesthes individuals. RW2 versus RW1 and deformation grids (tied to group means) for Odontesthes bonariensis (white circle), O. hatcheri (black circle) and presumptive hybrids (gray circle). Arrowheads indicate displacement of landmarks relative to consensus. Shaded area shows relative position of landmarks 5 (anterior insertion of the first dorsal fin) and 12 (distal tip of the pelvic fin onto fish body).
Fig. 1 in Populations of Odontesthes (Teleostei: Atheriniformes) in the Andean region of Southern South America: body shape and hybrid individuals
Fig. 1. Distribution of O. hatcheri (light gray) and O. bonariensis (dark gray) described by Dyer (2006) and sampling localities: ULLM, Ullum Reservoir; CARZ, Carrizal Reservoir; NIHL, Nihuil Reservoir; D, Lake San Lorenzo; URRE, Lake Urre Lauquen; CDP, Casa de Piedra Reservoir; PELE, Lake Pellegrini; PDA, Piedra del Aguila Reservoir; MITO, Lake Morenito; CARI, Lake Carilafquen; EPU, Lake Epuyén; RIV, Lake Rivadavia; ROS, Lake Rosario; AME, Florentino Ameghino Reservoir; CHU, Chubut River at Los Altares; MUS, Lake Musters; LBA, Lake Buenos Aires; PUY, Lake Pueyrredón. White triangles show the location of the three hatcheries (Estación Hidrobiológica de Chascomús 35º36'S, 58º01'W, Estación de Piscicultura de Embalse 32º13'S, 64º29'W, and Estación de Piscicultura Río Limay 38º59'S, 68º14'W), sources of stocking practices.
Figure 6 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 6. Analysis of principal coordinates of sampling sectors according to the distribution of bacterial families reported at 40% contribution according to SIMPER analysis.
Figure 2 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 2. Good quality DNA samples from bacterial populations divided by sampling time factor in soils with pre-sowing levels (A), Lepidium meyenii hypocotyl development (B) and post-harvest (C).
Figure 7 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 7. Dendogram of bacterial families at 40% contribution according to SIMPER analysis in fields disturbed by Lepidium meyenii culture under the effect of the two factors under study (use pressure and sampling period).
Figure 8 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 8. Analysis of the behavior of the clusters of bacterial families significantly differentiated (p<0.05) according to the SIMPROF analysis at a 40% contribution of the total of families registered in soils under the factors use pressure and sampling period.
Figure 3 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 3. Band migration in bacterial populations according to the V3 - V4 region of the 16S bacterial rRNA genes, for the 12 samples divided by the sampling time factor in soils with pre-sowing levels (A),Lepidium meyenii hypocotyl development (B) and post-harvest (C).
Figure 5 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics
Figure 5. Non-metric MSD and cluster analysis of sampling sectors divided by use pressure and sampling period factors.
Fig. 4 in Drainage Network Morphology Influences Population Structure and Gene Flow of the Andean Water Frog (Anura: Telmatobiidae) of the Atacama Desert, Northern Chile.
Fig. 4. Results of the Geneland analysis. A: Bar plot of posterior probability density according to the number of clusters; B: posterior probability maps for the delimited clusters.
Fig. 3 in Drainage Network Morphology Influences Population Structure and Gene Flow of the Andean Water Frog (Anura: Telmatobiidae) of the Atacama Desert, Northern Chile.
Fig. 3. Pairwise FST between localities of Telmatobius pefauri obtained using mitochondrial (A) and microsatellite (B) data. The colour scale corresponding to the values of FST is shown to the right of each matrix. Significant (Bonferroni corrected) comparisons showing p <0.05, p <0.01 and p <0.001 are denoted by *, ** and ***, respectively.
Fig. 2 in Drainage Network Morphology Influences Population Structure and Gene Flow of the Andean Water Frog (Anura: Telmatobiidae) of the Atacama Desert, Northern Chile.
Fig. 2. Median-joining network based on the fragment of the analysed control region. Table 1. Indices of mitochondrial diversity, nuclear diversity, and inbreeding coefficients (FIS) by locality
Fig. 1 in Drainage Network Morphology Influences Population Structure and Gene Flow of the Andean Water Frog (Anura: Telmatobiidae) of the Atacama Desert, Northern Chile.
Fig. 1. Study area, distribution of Telmatobius pefauri. Localities, 1: Socoroma (Socoroma River); 2: Murmuntani; 3: Copaquilla; 4: Chapiquiña; 5: Belén; 6: Lupica; 7: Saxamar. Localities 2 and 3 belong to the Seco River drainage; localities 4–7 belong to the Tignamar River drainage. Basin limits are indicated with dashed lines. The inset map shows the study area (highlighted by a red box) in relation to South America. SAAD = South American Arid Diagonal.
Fig. 5 in Drainage Network Morphology Influences Population Structure and Gene Flow of the Andean Water Frog (Anura: Telmatobiidae) of the Atacama Desert, Northern Chile.
Fig. 5. Scatter plot for the first two principal components obtained in the Principal Components Analysis using SSR data.
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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.