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94 results for “Northern Patagonia”
Time series of turbidity in Northern Patagonia using the Nechad algorithms (v2009 and v2016) at 665 nm. Time series 2016-2020.
<p>Time series of turbidity in Northern Patagonia using the Nechad algorithms (v2009 and v2016) at 665 nm. Time series 2016-2020.</p> <p>Our study aimed to evaluate the spatio-temporal variability of turbidity from Sentinel-2 (S2) images in the Reloncaví sound and fjord, in Northern Patagonia, Chile, a coastal ecosystem that is intensively used by finfish and shellfish aquaculture. To this end, we downloaded 123 S2 images and assembled a five-year time series (2016-2020) covering five study sites (R1 to R5) located along the axis of the fjord and seaward into the sound. We used Acolite to perform the atmospheric correction and estimate turbidity with two algorithms proposed by Nechad et al. (2009, 2016 Nv09 and Nv16, respectively).</p> <p>Columns (R) represent the spatial distribution of study sites (see Figure 2).</p> <p>Link: https://doi.org/10.1016/j.ecoinf.2024.102814</p> <p>For more information see materials and methods.</p> <p>Nv2009 or Nv09 are the results obtained for the Nechad algorithm version 2009. Similar to Nv2016 or Nv16 are the results obtained for the Nechad algorithm version 2016.</p>
Ground Penetrating Radar survey of San Quintin glacier, Northern Patagonia Icefield
<p>Measured ice thickness, Residual Bedrock Reflection Power (BRP) and Internal Reflection Power (IRP) of San Quitin glacier, Northern Patagonia Icefield.</p> <p> </p> <p>Data for the preprint "Frontal collapse of San Quintín glacier (Northern Patagonia Icefield), the last piedmont glacier lobe in the Andes" in review for The Cryosphere (https://doi.org/10.5194/tc-2023-10)</p> <p> </p>
Data and code for publication: "Floristic Patterns in the Andes of Northern Patagonia's Forests"
<p>This dataset supports the study "Floristic Patterns in the Andes of <br>Northern Patagonia's Forests" published in Vegetation Classification and Survey, which<br>investigates the relationship between plant communities and environmental drivers in <br>the Andes of northwest Patagonia, Argentina. It also employs both expert-based and <br>numerical classification methods to explore floristic patterns across steep gradients <br>of aridity and temperature. The project provides a detailed dataset of 141 vegetation <br>samples, using advanced statistical methods to define six distinct plant communities <br>and their environmental drivers. It aims to refine existing vegetation classifications <br>for the study area and inform conservation efforts.</p>
Fig. 4 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 4. Size frequency distribution of Discopyge tschudii sampled during 2004-2007. Males (dotted line) n= 564 and females (continuous line) n= 523.
Fig. 9 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 9. Relationship between total length of the female (TL) and number of embryos (N e) for Discopyge tschudii. N e (dotted line)= 0.221 X exp(0.589 X TL); R²= 0.57; n= 27.
Fig. 10 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 10. Relationship between total length (TLe) and weight (We) for embryos of Discopyge tschudii. W e(dotted line)= 7 x 10-0.5 X TL 2.63; R2= 0.80; n= 178.
Fig. 1 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig. 1. Study area and design of bottom trawl surveys. Strata I, II, and III: 90-130 m; stratum IV:>130 m; stratum V: 50-89 m and stratum VI: 20-49 m.
Fig.2 in Distribution and reproductive biology of the Electric ray Discopyge tschudii Heckel, 1846 in San Matías Gulf, Northern Patagonia, Argentina
Fig.2. Proportion of individuals recorded in each stratum during bottom trawl surveys. Surveys carried out in the 1980´s: REDE 1986 and Gallo 1986; surveys carried out in the 1990´s: REDE 1995 and 1996; surveys carried out in the 2000´s: REDEs 2004 to 2007.
Fig. 2 in First Report Of Arthropod Fauna In Flooded Plains Of Northern Patagonia (38° S, Araucania Region Chile)
Fig. 2. Results of NMDS ordination and ANOSIM analysis of study sites based on invertebrate resemblance matrix.
FIGURE 8 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 8. Stacked bars with the distribution of observed vs. expected frequencies (uniform distribution) of drill holes in sectors along a dorso ventral direction. Data as percentages.
FIGURE 6 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 6. Box plot of anterior-posterior length (APL) of drilled (n=36) and undrilled (n=59) Nacella magellanica shells. Undrilled shells are slightly larger although non significantly different from drilled ones (Wilcoxon sum ranks test, p= 0.284; t-test, p= 0.179).
FIGURE 5 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 5. Scanning electron microscope images of drill holes on Nacella magellanica shells. (1). Complete and functional Oichnus simplex (CEGH-UNC-26877). (2). Complete non-functional O. simplex (CEGH-UNC-26877). 3. Complete and functional Oichnus ovalis (CEGH-UNC-26876). (4-6). Incomplete O. simplex. (4). Note the flat nature of the bottom. (5) and (6) magnifications of a drill hole wall with probable radular rasp marks. (4-6, CEGH-UNC- 26878).
FIGURE 3 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 3. (1). External view of a specimen of Nacella magellanica with a drilling on the posterior part (CEGH-UNC- 26872). (2). Internal view of a specimen of Nacella magellanica with a drilling on the posterior part, above the Ushaped muscle scar (CEGH-UNC-26873). (3). Modeling of limpet shell as cone and truncated cones to estimate the proportion of the area represented by the different sectors. To the left, a real representation of a limpet shell. The Ushaped muscle scar (U-scar) is visible from the inside. To the right, the model composed of one cone and two truncated cones.
FIGURE 4 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 4. Photographs of drill holes. (1) Successful muricid drill hole (Oichnus simplex) (internal minimum diameter of the hole: 1.76 mm; CEGH-UNC-26874). (2) Unsuccessful muricid drill hole (external minimum diameter of the hole: 1.75 mm; CEGH-UNC-26875). (3 and 4), Octopus drill hole (Oichnus ovalis) (internal minimum and maximum diameters of the hole: 0.15 and 0.27 mm, respectively. Both images correspond to the same specimen, CEGH-UNC- 26876).
FIGURE 2 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 2. Sampling: (1) view of the modern beach of Puerto Lobos showing a boulder field at low tide (distance from the boulder to the steps is approximately 15 m). (2) detail of the 50 x 50 cm quadrate used for sampling mollusk specimens. (3) Detail of the boulder field (from side to side the picture measures ca. 5 m).
FIGURE 1 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 1. Location map of Puerto Lobos in the southern part of the San Matías Gulf, Patagonia, Argentina.
FIGURE 7 in Drilling predation traces on recent limpets from northern Patagonia, Argentina
FIGURE 7. Dispersion plot between drill hole minimum inner diameter (mm) and length (mm) of the limpet N. magellanica.
Dataset of chemicals of emerging concern detected in the marine environment in central and northern Patagonia in Chile
<p>This repository encompasses the environmental concentrations of chemicals of emerging concern (CECs), such as pesticides, pharmaceuticals, and industrial chemicals, co-occurring in surface water, porewater, and sediment throughout central and northern Patagonia, Chile.</p>
Temporal Synchrony in Satellite-Derived Ocean Parameters in the Inner Sea of Chiloé, Northern Patagonia, Chile
<p>GENERAL INFORMATION</p> <p>Title of Dataset: Replication data for: Long-term synchrony in satellite-derived ocean parameters in northern Patagonia, Chile.</p> <p>- General Bathymetry of the Ocean (GEBCO),northern Patagonia.</p> <p>- Daily Chlorophyll-a (Chla, mg m-3), Fluorescence Line Height (nFLH; W m-2 μm-1 sr-1) and surface reflectance at 645nm (Rrs 645). MODIS Level2.</p> <p>- Daily river discharge (m3/s) from Puelo and Futaleufú stations. Dirección General de Aguas (DGA, Chile).</p> <p>- Climatic indices: ENSO Multivariate (MEI v2) and Southern Annular Mode (SAM).</p> <p> </p>
Fig. 4. A, C, E, G in A new species of Liolaemus (Iguania: Liolaemidae) from the hot deserts of northern Patagonia, Argentina
Fig. 4. A, C, E, G. Coloring patterns. Adult males of Liolaemus kulinko sp. nov. in dorsal view. B, D, F, H. Adult males of L. mapuche Abdala, 2002 in dorsal view. Photographs by I. Procheret (A, C) and C.S. Abdala (B, D–H).
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.