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114 results for “Araucaria”
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material
<p>This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it.</p> <p>Study area: Conguillío National Park, Chile<br> Study period: 2016-2020</p> <p>Description of datasets:</p> <p>conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation.</p> <p>evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package "greenbrown" and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile.</p> <p>Details about the methodology and results describing this dataset can be found in the following publication:<br> Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.102862</p>
Text-fig. 1. Araucaria fricii VELEN. ex E.BAYER. a: Holotype, Březno, early/middle Coniacian, No. NM-F 1898; b: Radovesice, in A New Specimen Of Araucaria Fricii From The Early Coniacian Of The Bohemian Massif, Central Europe
Text-fig. 1. Araucaria fricii VELEN. ex E.BAYER. a: Holotype, Březno, early/middle Coniacian, No. NM-F 1898; b: Radovesice,
Figs. 4 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 4 A, B. Effects of Japanese raisintree control method on stem number and survival regarding control, base cut and root removal treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 7 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 7 A, B. Effects of Japanese raisintree control method on sapling numbers regarding control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days after the application of the control method) in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 3 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 3 A, B. Effects of Japanese raisintree control method on seedling number and percent survival for control, base cut and root removal treatments at different evaluation periods (0, 60, 120, and 180 days). Experiment conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Fig. 2 in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Fig. 2. Spatial distribution of the three tested methods for controlling Japanese raisintree: control (z), root removal () and base cut (), in an Araucaria Forest in the São João do Triunfo municipality, Paraná.
Figs. 5 A, B in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 5 A, B. Effects of Japanese raisintree control method on stem height regarding control, base cut and root removal in treatments at different evaluation times (0, 60, 120, and 180 days). The study was conducted in an Araucaria Forest in São João do Triunfo, Paraná.
Figs. 1A-C in Methods for controlling natural regeneration of Japanese raisintree (Hovenia dulcis Thunb.) in Araucaria forest
Figs. 1A-C. Application of three methods to control the natural regeneration of Japanese raisintrees. A. control; B. root removal; C. base cut in an Araucaria Forest in São João do Triunfo, Paraná.
Araucaria araucana (Molina) K.Koch (BR0000024497275)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Araucaria araucana (Molina) K.Koch (BR0000024497282)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Araucaria araucana (Molina) K.Koch (BR0000024497299)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Araucaria araucana (Molina) K.Koch (BR0000024497268)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Fig. 3 in Morphometric and molecular differences among Calvertius tuberosus (Coleoptera: Curculionidae) populations associated with Andean and coastal populations of Araucaria araucana in the La Araucanía Region, Chile
Fig. 3. Neighbor-joining dendrogram of morphometrics measurements; 1. Villa Las Araucarias, 2. Nahuelbuta, 3. Malalcahuello.
Fig. 4 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 4. Dendrogram from the cluster analysis of the similarity of small mammals sampled at five vegetation types of Piraí do Sul National Forest, ParanÁ state, Brazil (PP, Pine Plantation; RF, Riparian Forest; AP, Araucaria Plantation; NR, Natural Regeneration forest; HA, High Altitude forest).
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).
Data release for paper "The Araucaria Project: Deep near-infrared photometric maps of Local and Sculptor Group galaxies. I. Carina, Fornax, Sculptor"
<p>Deep near-infrared J- and K-band photometry of three Local Group dwarf spheroidal galaxies: Fornax, Carina, and Sculptor, is made available for the community. Until now, these data have only been used by the Araucaria Project to determine distances using the tip of the red giant and RR Lyrae stars. Now, we present the entire data collection in a form of a database, consisting of accurate J- and K-band magnitudes, sky coordinates, ellipticity measurements, and timestamps of observations, complemented by stars' loci in their reference images. Depth of our photometry reaches about 22 mag at 5 sigma level, and is comparable to NIR surveys, like the UKIRT Infrared Deep Sky Survey (UKIDSS) or the VISTA Hemisphere Survey (VHS), and small overlap with VHS and no overlap with UKIDSS makes our database a unique source of quality photometry.</p> <p>Data release consists of:</p> <ul> <li>databases in a form of text files for Carina, Fornax and Sculptor galaxies<br> (db_Car.txt, db_For.txt , db_Scu.txt)</li> <li>completeness tables and plots for every field in Carina, Fornax and Sculptor galaxies<br> (compl_Car.pdf, compl_Car.txt, compl_Scu.pdf, compl_Scu.txt, compl_For.pdf, compl_For.txt)</li> <li>explanatory file for each galaxy<br> (info_Car.txt, info_Scu.txt, info_For.txt)</li> <li>FITS images of scientific quality of all analyzed fields in Carina, Fornax and Sculptor galaxies, archived in tar.gz files</li> </ul>
Figure 4 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog
Figure 4. Mean (¡SE) number of food items per stomach in each habitat. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation.
Figure 5 in Ecologically-sustainable tree monocultures contribute to conservation of an Araucaria Forest endemic frog
Figure 5. Rarefaction curves of Physalaemus lisei diet, relating taxonomic richness to the number of individuals in each habitat. FO, Araucaria Forest; PA, Araucaria angustifolia plantation; PP, Pinus plantation; PE, Eucalyptus plantation. The vertical lines comprise the 95% confidence intervals.
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Allen Brain Atlas
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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.