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Figure 1 in Prevalence of Blastocystis sp. in Morocco: Comparative assessment of three diagnostic methods and characterization of parasite forms in Jones' culture medium
Figure 1. Dispersion of intestinal parasitic species among infected individuals.
Root foraging strategies and niche segregation of three Mediterranean shrub species
<p>Shrubs are usually adapted to stressful environments in which soil resources are limited, and thus, roots are fundamental for their biological success. However, root measures are challenging to collect, especially in field conditions and at the individual level. For this study, we collected data on the three-dimensional distribution of fine root biomass of twenty-three individuals belonging to three shrub species in a Mediterranean shrubland in Central Spain: gum rockrose (<em>Cistus ladanifer</em> L.), rosemary (<em>Salvia rosmarinus</em> Schleid.), and hairy-fruited broom (<em>Cytisus striatus</em> [Hill] Rothm). Our goal was to determine the soil-foraging strategies adopted by the plants. We hypothesized that plants would show stabilizing niche differences explaining the high plant biodiversity characteristic of Mediterranean shrublands and that they would follow the game theory model's prediction of exploitative segregation of roots behaving territorially but also over-proliferating roots close to their stem and engaging in a root tragedy of the commons. We found that two-thirds to three-fourths of the biomass was belowground, and the system's productivity was roughly 500-600 g C m-2 y-1. Only rosemary plants competed with neighbors following the exploitative segregation predictions. Broom plants had the shallowest and most widespread root systems but significantly reduced their root range toward competing neighbors. Gum rockrose presented deep, narrow root systems avoiding extensive overlap with neighbors but did not appear to respond to competitive pressure levels. Shrubs appeared to stratify their roots at different soil depths, supporting the niche segregation hypothesis.</p>
Fig. 1 in Reproduction of Pimelodus maculatus (Siluriformes: Pimelodidae) in three section of Grande River basin, downstream Porto Colombia dam, south-eastern Brazil
Fig. 1. Study area with indication of the sample sections.
Fig. 1 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig. 1. The location of sampling sites. - Lake Sventes, Lake Nirzas and Lake Rāznas.
Map 1 in Contribution to the knowledge of the click-beetles (Coleoptera¡ Elateridae) from Kurdistan Region - Iraq, with description of three new species.
Map 1.- Autonomous Kurdistan Region (Iraq).
Variation and overlaps in non-breeding regions of the Eurasian Reed Warbler: insight from three breeding populations
<p>Data for Variation and overlaps in non-breeding regions of the Eurasian Reed Warbler: insight from three breeding populations</p>
Figure 6 in Review of Butis (Teleostei: Butidae) from Indo-Pacific islands with description of three new species
Figure 6. – Butis gymnopomus, uncatalogued, BIF 0311 (59 mm SL), Java (Photo N. Hubert).
Figure 10 in Review of Giuris (Teleostei: Eleotridae) from Indo-Pacific islands, with description of three new species
Figure 10. – Distribution of Giuris species.
Figure 3 in New distributional records of three deepwater cardinalfishes Epigonus angustifrons, E. denticulatus, and E. exodon (Perciformes: Epigonidae) in the South Indian Ocean
Figure 3. – Epigonus denticulatus, CSIRO H 5408-02, 138.6 mm SL, central South Indian Ocean.
Figure 1 in New distributional records of three deepwater cardinalfishes Epigonus angustifrons, E. denticulatus, and E. exodon (Perciformes: Epigonidae) in the South Indian Ocean
Figure 1. – Epigonus angustifrons, CSIRO H 5408-04, 210.3 mm SL, central South Indian Ocean.
FIGURE 32 in A redescription of the three longest-known species of the acanthodian Cheiracanthus from the Middle Devonian of Scotland
FIGURE 32. Cheiracanthus latus head and branchial region reconstruction.
FIGURE 23 in A redescription of the three longest-known species of the acanthodian Cheiracanthus from the Middle Devonian of Scotland
FIGURE 23. Cheiracanthus grandispinus head and branchial region reconstruction.
FIGURE 14 in A redescription of the three longest-known species of the acanthodian Cheiracanthus from the Middle Devonian of Scotland
FIGURE 14. Cheiracanthus murchisoni head and branchial region reconstruction.
Figure 2 in Biochemical parameters and antioxidant property of three Salvia L. taxa endemic in Turkey
Figure 2. ABTS % Radical Scavenging Activities of three Salvia taxa.
Figure 1 in Biochemical parameters and antioxidant property of three Salvia L. taxa endemic in Turkey
Figure 1. DPPH % Radical Scavenging Activities of three Salvia taxa.
Arctic sea ice concentration data record in 6.25 km polar stereographic grid from three-year Landsat-8 imagery
<p>This dataset consists of true-like sea ice concentration (SIC) data records over the Arctic Ocean, which was derived from the 30 m resolution imagery from the Operational Land Imager (OLI) onboard Landsat-8. Each SIC map are given in a 6.25 km polar stereographic grid, and are catalogued into one of the twelve sub-regions (Baffin Bay and Labarador Seas, Barents Sea, Beaufort Sea, Bering Sea, Canadian Archipelago, Central Arctic, Chukchi Sea, East Greenland Sea, East Siberian Sea, Hudson Bay, Kara Sea, Laptev Sea) of the Arctic Ocean. This dataset also contains the number of Landsat-8 pixels used in the calculation of each SIC values, the coastal mask, and the sub-region mask.</p> <p>The naming convention for the files is "sic_landsat08_{sub-region name}.nc".</p> <p>The dataset is in netCDF format and is compliant with the CF 1.8 and ACDD 1.3 convention for netCDF files. The description of the variables along with some key global attributes of the data are provide below.</p> <table> <tbody> <tr> <td><strong>Global Attribute</strong></td> <td><strong>Meaning</strong></td> <td><strong> Attributes</strong></td> <td> </td> </tr> <tr> <td>title</td> <td>Title of the dataset</td> <td><strong> </strong></td> <td><strong> </strong></td> </tr> <tr> <td>sub_region</td> <td>Name of the sub-region for each dataset</td> <td><strong> </strong></td> <td><strong> </strong></td> </tr> <tr> <td><strong>Variable Name</strong></td> <td><strong>Meaning</strong></td> <td><strong>Attributes</strong></td> <td><strong>Dimension</strong></td> </tr> <tr> <td>time</td> <td>Reference time of satellite image</td> <td>seconds since 1981-01-01 00:00:00Z</td> <td>[time]</td> </tr> <tr> <td>lon</td> <td>Longitude</td> <td> </td> <td>[Y, X]</td> </tr> <tr> <td>lat</td> <td>Latitude</td> <td> </td> <td>[Y, X]</td> </tr> <tr> <td>X</td> <td>x coordinate of projection</td> <td> </td> <td>[X]</td> </tr> <tr> <td>Y</td> <td>y coordinate of projection</td> <td> </td> <td>[Y]</td> </tr> <tr> <td>sea_ice_concentration</td> <td>Estimated fractional sea ice area from Landsat-8 measurements</td> <td>_FillValue : -99</td> <td>[time, Y, X]</td> </tr> <tr> <td>sample_size</td> <td>Number of Landsat-8 pixels used to estimate the sea ice concentration</td> <td>_FillValue : 0</td> <td>[time, Y, X]</td> </tr> <tr> <td>coastal_mask</td> <td>Open-sea/Coastal Flag</td> <td>[Open_sea, Coast] = [0, 1]</td> <td>[Y, X]</td> </tr> <tr> <td>sub_region_mask</td> <td>Sub-region Flag</td> <td>[inside_sub_region, outside_sub_region] = [0, 1]</td> <td>[Y, X]</td> </tr> <tr> <td>cloud_contamination_category</td> <td>Qualitatively assessed cloud contamination for Landsat-8 Level 1 Collection 2 data used to produce SIC</td> <td>[underestimated_cloud_cover, overestimated_cloud_cover, correctly_estimated_cloud_cover_for_clear_sky, correctly_estimated_cloud_cover_for_cloudy_sky] = [1, 2, 3, 4]</td> <td>[time]</td> </tr> <tr> <td>source_name</td> <td>Filename of original Landsta-8 Level 1 Collection 2 data used to produce SIC</td> <td> </td> <td>[time]</td> </tr> </tbody> </table> <p> </p>
Figure 42 in Further considerations on the species of the genus Orthochirus Karsch, 1891 from Africa, with description of three new species (Scorpiones: Buthidae)
Figure 42: Habitat of O. cloudsleythompsoni sp. n. Region of Tata, Morocco.
Figures 15−16 in Further considerations on the species of the genus Orthochirus Karsch, 1891 from Africa, with description of three new species (Scorpiones: Buthidae)
Figures 15−16: Orthochirus cloudsleythompsoni sp. n., male holotype, dorsal and ventral aspects.
Figure 14 in Further considerations on the species of the genus Orthochirus Karsch, 1891 from Africa, with description of three new species (Scorpiones: Buthidae)
Figure 14: Orthochirus tassili sp. n., female paratype (alive) in the field (photo by P. Geniez).
Figure 5 in Further considerations on the species of the genus Orthochirus Karsch, 1891 from Africa, with description of three new species (Scorpiones: Buthidae)
Figure 5: Orthochirus aristidis, female (alive) from Djibouti.
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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.