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9,882 results for “Scale”
FIGURE 4 in New species and records of scale mites (Acari: Pterygosomatidae) from Arabian agamid lizards (Squamata: Agamidae)
FIGURE 4. Pterygosoma aqabensis sp. nov., protonymph. A, dorsal view B, ventral view.
FIGURE 5 in New species and records of scale mites (Acari: Pterygosomatidae) from Arabian agamid lizards (Squamata: Agamidae)
FIGURE 5. Pterygosoma dhofarensis sp. nov., female. A, dorsal view; B, ventral view.
FIGURE 9. Hind tarsi, scale 0.2 in A new species of Platydecticus (Orthoptera: Tettigoniidae: Tettigoniinae; Nedubini) from the Andes of Chile
FIGURE 9. Hind tarsi, scale 0.2 mm;
FIGURE 7. Allantus centrorufus, lectotype 3. a. dorsal, scale 5 in The type specimens of Tenthredo Linnaeus, 1758 (Hymenoptera: Tenthredinidae) deposited in the Hungarian Natural History Museum
FIGURE 7. Allantus centrorufus, lectotype 3. a. dorsal, scale 5 mm; b. lateral; c. face; d. labels.
FIGURE 4 in A new species in the indigenous New Zealand soft scale insect genus Kalasiris Henderson & Hodgson (Hemiptera: Sternorrhyncha: Coccomorpha: Coccidae) on Gahnia setifolia (Cyperaceae)
FIGURE 4. Pupal. Kalasiris martini Hodgson & Richmond, spec. n.
FIGURE 2 in A new species in the indigenous New Zealand soft scale insect genus Kalasiris Henderson & Hodgson (Hemiptera: Sternorrhyncha: Coccomorpha: Coccidae) on Gahnia setifolia (Cyperaceae)
FIGURE 2. Adult female Kalasiris martini Hodgson & Richmond, spec. n.
FIGURE 8. Pseudotomias kisarawe n in The Eastern Arc Mountains and coastal forests of East Africa—an archive to understand large-scale biogeographical patterns: Pseudotomias, a new genus of African Pseudophyllinae (Orthoptera: Tettigoniidae)
FIGURE 8. Pseudotomias kisarawe n. sp. male mounting female showing sexual size dimorphism.
FIGURE 6 in The Eastern Arc Mountains and coastal forests of East Africa—an archive to understand large-scale biogeographical patterns: Pseudotomias, a new genus of African Pseudophyllinae (Orthoptera: Tettigoniidae)
FIGURE 6. Last instar of female Pseudotomias usambaricus n. sp.
FIGURE 7. Pseudotomias kisarawe n in The Eastern Arc Mountains and coastal forests of East Africa—an archive to understand large-scale biogeographical patterns: Pseudotomias, a new genus of African Pseudophyllinae (Orthoptera: Tettigoniidae)
FIGURE 7. Pseudotomias kisarawe n. sp., male (A) and female (B).
FIGURE 2 in The Eastern Arc Mountains and coastal forests of East Africa—an archive to understand large-scale biogeographical patterns: Pseudotomias, a new genus of African Pseudophyllinae (Orthoptera: Tettigoniidae)
FIGURE 2. Male holotype of Pseudotomias usambaricus n. sp., Sigi Trail, East Usambara Mountains.
FIGURE 1 in Two new species of scale worms (Polychaeta: Aphroditiformia) from deep-sea habitats in the Gulf of Cadiz (NE Atlantic)
FIGURE 1. Map with the location of the sampling sites.
FIGURE 6. Atractides pumilus, larva. A. dorsal idiosoma, B. ventral idiosoma. Scale bar 100 in Larval morphology of benthic and interstitial water mites (Acari: Hydrachnidia) from a Luxembourgian stream
FIGURE 6. Atractides pumilus, larva. A. dorsal idiosoma, B. ventral idiosoma. Scale bar 100µm.
FIGURE 12. A, Ascidia challengeri. B, Ascidia meridionalis. Scale bars A,B in Antarctic Ascidians (Tunicata) of the French-Australian survey CEAMARC in Terre Adélie
FIGURE 12. A, Ascidia challengeri. B, Ascidia meridionalis. Scale bars A,B = 3cm
Figure 1 in Off the scale: a new species of fishscale gecko (Squamata: Gekkonidae: Geckolepis) with exceptionally large scales
Figure 1 Molecular phylogeny and distribution of Geckolepis OTUs based mainly on Lemme et al. (2013). Dotted lines in the phylogeny indicate uncertain placement. The phylogenetic position and distribution of Geckolepis humbloti is inferred from Hawlitschek et al. (2016).
FIGURE 4 in A new species and new record of deep-sea scale-worms (Polynoidae: Polychaeta) from the Okinawa Trough and the South China Sea
FIGURE 4. Lepidonotopodium okinawae sp. nov. a. Dorsal view. b. Same, ventral view. Scale bars=3mm.
Dataset to reproduce the figures in "Parameterizing the Impact of Unresolved Temperature Variability on the Large-Scale Density Field: Part 2. Modeling." in Journal of Advances in Modeling Earth Systems (JAMES)
Ocean circulation models have systematic errors in large-scale horizontal density gradients due to estimating the grid-cell-mean density by applying the nonlinear seawater equation of state to the grid-cell-mean water properties. In frontal regions where unresolved subgrid-scale (SGS) fluctuations are significant, dynamically relevant errors in the representation of current systems can result. A previous study developed a novel and computationally efficient parameterization of the unresolved SGS temperature variance andresulting density correction. This parameterization was empirically validated but not tested in an ocean model. In this study, we implement deterministic and stochastic variants of this parameterization in the pressure-gradient force term of a coupled ocean-sea ice configuration of CESM-MOM6 and perform a suite of hindcast sensitivity experiments to investigate the ocean response. The parameterization leads to coherent changes in the large-scale ocean circulation and hydrography, particularly in the Nordic Seas and Labrador Sea, which are attributable in large part to changes in the seasonally varying upper-ocean exchange through Denmark Strait. In addition, the separated Gulf Stream strengthens and shifts equatorward, reducing a common bias in coarse-resolution ocean models. The ocean response to the deterministic and stochastic variants of the parameterization is qualitatively, albeit not quantitatively, similar, yet qualitative differences are found in various regions.
Few species, higher abundance or many species and lower abundance of birds of prey: effects of land use changes at different spatial scales
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Data from: Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas
<p>Spatially-explicit information featuring a wide range of detailed vegetation structural types are necessary to support conservation and ecological analyses. A systematic approach that accurately maps such detailed categories at regional scales is currently lacking for neotropical savannas. We developed a systematic Geographic Object-Based Image Analysis (GEOBIA) framework that accounts for spectral and spatial properties to map Cerrado vegetation structural types at 5-m resolution. This framework counts with a two-step mapping approach: (1) image segmentation and a Random Forest land cover classification based on spectral information (Level 1 classification), followed by (2) a GEOBIA knowledge-based classification that follows contextual and topological spatial rules developed in a systematic manner for mapping Cerrado ecological classes (Level 2 classification).</p><p>The framework was tested for two large study sites covering most major Cerrado physiognomic types: a control site in central Brazil (Taquara watershed site, located in Brasilia, Federal District, and embraces the IBGE Ecological Reserve) and another larger site that is located in an agricultural landscape in the western portion of Bahia State (encompasses parts of the municipalities of: Sao Desiderio, Luis Eduardo Magalhaes, Barreiras, and Riachao das Neves), which brings additional mapping challenges related to intra-class spectral similarity. </p><p>Results demonstrate that our GEOBIA approach is effective for mapping 13 land cover classes with 87.6% overall accuracy, of which all 11 major vegetation classes were identified. For additional details, please check the associated publication with these datasets (Ribeiro et al. 2020).</p><p>The datasets developed in this study are available in shapefile format with attributed metadata following ISO 19115 standards: </p><ul><li><strong>wba_lcmap_geobiaL2_2011lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product uses a land use mask of 2011 derived from ancillary data</li><li><strong>wba_lcmap_geobiaL2_2013lucmask:</strong> final land cover map (Level 2 -- physiognomic types) for a section of the western bahia region in the Cerrado. This product accounts for the land use mask of 2011 as well as an updated land use mask of 2013 derived from ancillary data</li><li><strong>ibge_taquara_luc_L1_L2_2013_original:</strong> land cover maps (Levels 1 and 2) developed for the Taquara/IBGE site</li><li><strong>ibge_taquara_detailed_luc_2013:</strong> final land cover map (Level 2 -- physiognomic types) developed for the Taquara/IBGE site with additional detailed land use categories</li></ul><p> </p><p><strong>Data</strong></p><p>Mapped land cover classes: 1) cerrado woodland, 2) savanna, 3) open savanna, 4) shrubby grassland, 5) grassland (only present in the Taquara site), 6) cerrado scrub (only present in the western bahia site), 7) marsh, 8) shrub swamp, 9) palm swamp, 10) riparian forest, 11) semi-deciduous forest, 12) seasonally dry tropical forest (only present in the western bahia site), 13) invasive forbes (only present in the Taquara site), 14) non-natural/barren, 15) water, 16) shade, 17) clouds</p><p>The land-use mask incorporated into our maps feature the following classes: main roads, farming/crops, silviculture, and urban areas. </p><p> </p><p><strong>Coordinate Reference System</strong></p><p>Datasets were projected to <strong>South America Albers Equal Area</strong> <strong>Conic</strong>, with all areal calculations based on this projection.</p><p> </p><p><strong>Data Usage</strong> </p><p>The datasets are publicly available and should be cited appropriately (main publication: Ribeiro et al. 2020).</p><p> </p><p><strong>Additional information</strong></p><p>For any other data requests or questions, please contact Fernanda Ribeiro (fernanda.ffr@gmail.com).</p>
Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) - Data Set
<p>GENERAL INFORMATION</p> <p>The data and scripts used for the analysis of the paper "Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – Towards an improved representation of mountain water resources in global assessments"</p> <p><strong>When using this dataset, please refer to the original publication in addition to this Zenodo repository.</strong></p> <p><strong>Hanus, S., Schuster, L., Burek, P., Maussion, F., Wada, Y., and Viviroli, D.: Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments, Geosci. Model Dev., 17, 5123–5144, https://doi.org/10.5194/gmd-17-5123-2024, 2024.</strong></p> <p>DATA & FILE OVERVIEW</p> <p>please have a look at readme.txt </p> <p>Don't hesitate to contact us in case of any questions (sarah.hanus@geo.uzh.ch)</p>
Modelling the Global Distribution of Chorus Wave Induced Relativistic Microburst Spatial Scale Size
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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)
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.