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238 results for “Irregular”
FIGURE 1. Meriania juan-canoi. A. Terminal branch with inflorescence. B. Flower buds. C. Calyptra opening irregularly. D in A new species of Meriania of the Brachycera group (Melastomataceae: Merianieae) with dimorphic stamens
FIGURE 1. Meriania juan-canoi. A. Terminal branch with inflorescence. B. Flower buds. C. Calyptra opening irregularly. D. Flower at anthesis. E. Longitudinal section of the flower. F. Petal. G. Ovary. H. Longitudinal section of the ovary. I. Antesepalous stamens. J. Antepetalous stamens. K. Fruits. L. Seeds. All drawn from the holotype.
Data of Spatio-Temporal deep learning model for regional EPB irregularities short-term Prediction
<p>Using the dense ground-based GNSS receiver network and ionosonde data from East and Southeast Asia during 2010-2021, a novel Spatio-Temporal deep learning model for regional EPB irregularities short-term Prediction (STEP) was developed. The model integrates the convolutional neural network (CNN) and long short-term memory (LSTM) network, together with attention mechanisms, to capture both spatial and temporal features of regional ionospheric irregularities.<br>This dataset includes both the model and the results generated by STEP. The parameters provided are: UT (hours), Latitude (°), Longitude (°), Date, Y_pred (TECU/min), and Y_true (TECU/min). The dimensions of Y_pred and Y_true are 10812 x 610, where 10812 represents the product of the number of date and the number of UT (minus 18), and 610 corresponds to the product of the number of Latitude and Longitude. The model with a .pth extension can be loaded using PyTorch.</p>
Figure 11 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 11. View of the cylinder of spines of atelostomate echinoids of early–middle Albian age (Falkland Plateau; A, GZG.INV.94999; B, GZG.INV.95000). A, view on the inner side: pores are arranged in a horizontal pattern (right half of the image), but from approximately half of the image the pattern changes to helicoidal. B, view on the outer side: pores are arranged in a helicoidal pattern throughout. Scale bars: 20 μm.
Figure 10 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 10. View of the inner side of the cylinder of a spine of Corystus relictus (ZMUC-ECH-605): pores are arranged in a horizontal pattern (left half), but from approximately half of the image this changes to a helicoidal pattern. Scale bar: 20 μm.
Figure 9 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 9. Scatter plot showing the relationship between number of wedges and spine diameter, including convex hulls for each group; for a better overview only higher systematic levels are distinguished, where possible.
Figure 7 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 7. Simplified phylogenetic tree showing the different observed characters for each family (after Kroh & Smith, 2010; for a more detailed phylogeny of the Holasteroida, see Smith, 2004; Mironov, Dilman & Krylova, 2013).
Figure 8 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 8. Box plot showing the mean values and ranges of distance between wedges for the atelostomate families studied (the numbers on the vertical axis represent distance between the wedges/width of the wedges); families that show no distance between wedges are not presented (Micrasteridae, Spatangidae, Maretiidae, Palaeotropidae, Eurypatagidae, Plexechinidae, Corystusidae, Urechinidae, Carnarechinidae, and Calymnidae).
Figure 2 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 2. Spine morphology: general (A), spatangoid spine in section (B), and internal structure in a broken spine of Spatangus raschi (C). Abbreviations: br, bridges; cy, cylinder; we, wedge.
Figure 3 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 3. Ornamentation of spines: A, Abatus cordatus (ZMB.Ech 2230_5); B, Breynia australisae (ZMUC-ECH-610); C, Tripylaster philippii (ZMUC-ECH-612); D, Moira atropos (ZMUC-ECH-613); E, Pourtalesia heptneri (ZMUC-ECH-655); F, Paleopneustes cristatus (ZMUC-ECH-113); G, Amphipneustes lorioli (ZMUC-ECH-666); H, Echinosigra phiale (ZMB.Ech 5436_2); I, Rhynobrissus pyramidalis (GZG.INV.78903). Scale bars: (A) 30 μm; (B–F, H) 100 μm; (G, I) 20 μm.
Figure 6 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 6. Perforation of the internal cylinder: A, horizontal arrangement in Ceratophysa rosea (ZMB.Ech-7419); B, helicoidal arrangement in Gymnopatagus magnus (ZMUC-ECH-641). Scale bars: 20 μm.
Figure 5 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 5. Wedge shapes: A, Echinocardium group, Linopneustes fragilis (ZMUC-ECH-643); B, Brissus group, Sternopatagus sibogae (ZMB.Ech-7426); C, Brissus group, Echinocardium mediteraneum (ZMUC-ECH-622); D, Prenaster group, Tripylus excavatus (ZMUC-ECH-637); E, Prenaster group, Plesiozonus diomedeae (ZMUC-ECH-135); F, Prenaster group, Amphipneustes marsupialis (ZMUC-ECH-640). Scale bars: (A, B, D, E) 20 μm; (C) 10 μm; (F) 100 μm.
Figure 4 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 4. Ornamentation of spines: A–D, Echinocardium cordatum (GZG.INV.78890); E–G, Brissus agassizii (GZG.INV.78900); H–J, Holanthus expergitus (ZMUC-ECH-651). Scale bars: (A) 200 μm; (B–D) 40 μm; (E) 1 mm; (F–J) 100 μm.
Figure 1 in Systematic assessment of the Atelostomata (Spatangoida and Holasteroida; irregular echinoids) based on spine microstructure
Figure 1. Test with spines (Brissus latecarinatus, ZMUC-ECH-602): apical side (A), oral side (B). Arrows indicate, approximately, the locations from where spines were generally collected (ap, apical; la, lateral; pl, plastronal). Scale bar: 1 cm.
Text-fig. 8. Wear stages and height (h) of cheek teeth of Sayimys giganteus from Keseköy. Height in mm of the entoconid (arrow) in lower cheek teeth and paracone (arrow) in upper cheek teeth. Shown are the high value and a low value for each wear stage. Note that h of the different wear stages may show large overlaps, in particular in those of worn teeth. This is due to the often-irregular occlusal surfaces of older individuals. in An Exceptional Large Sample Of The Early Miocene Ctenodactyline Rodent Sayimys Giganteus, Specific Variation And Taxonomic Implications
Text-fig. 8. Wear stages and height (h) of cheek teeth of Sayimys giganteus from Keseköy. Height in mm of the entoconid (arrow) in lower cheek teeth and paracone (arrow) in upper cheek teeth. Shown are the high value and a low value for each wear stage. Note that h of the different wear stages may show large overlaps, in particular in those of worn teeth. This is due to the often-irregular occlusal surfaces of older individuals.
Body mass, take-off speed and survival of Parus major at permanent and irregular feeders
<p>In this study, we tested whether the body mass of wintering Great Tits (<em>Parus major</em>) was higher under conditions of less predictable food resources. We compared body mass, body mass index, the speed at take-off, and survival of Great Tit adult males wintering in small urban areas either near feeders providing permanent access to food for months or near feeders providing irregular access to food.</p>
Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
<p>Best learned model learned with the dataset available <a href="http://https://doi.org/10.5281/zenodo.8033058">here</a> for the mTAN-GP, mTAN-MLP, mTAN-LTAE, and raw-LTAE.</p> <p>For further details see the pre-print article "End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes ". This article is available : <a href="https://hal.science/hal-04112115">here</a>.</p> <p>The implementation of the models is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_mtan_gp_irregular_sits">open source repository</a>.</p>
Classification Data set: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
<p>Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. This dataset contains irregular and unaligned SITS with their corresponding masks. 9 different random sampling are provided. This data set was used to train mTAN-GP, mTAN-MLP, mTAN-LTAE and raw-LTAE.</p> <p>For further details see the pre-print article "End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes ". This article is available : <a href="https://hal.science/hal-04112115">here</a>.</p> <p>The implementation of the models is available in the <a href="https://gitlab.cesbio.omp.eu/belletv/land_cover_southfrance_mtan_gp_irregular_sits">open source repository</a>.</p>
Data sets for "On the role of mild substorms and enhanced Hall conductivity in the plasma irregularities onset and zonal drift reversals: experimental evidence at distinct longitudes over South America" by Sousasantos et al.
<p>AMISR-14 data used in "On the role of mild substorms and enhanced Hall conductivity in the plasma irregularities onset and zonal drift reversals: experimental evidence at distinct longitudes over South America" by Sousasantos et al. (to appear at Earth and Space Science).</p>
Vocal Folds Irregular Mucosal Changes: A Clinical, Pathological and Genetic Study
ClinicalTrials.gov study NCT04006197. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
The Effect of Irregular Meal Pattern Providing Hypo-energetic Diet on Energy Expenditure and Metabolism
ClinicalTrials.gov study NCT05569837. IPD Sharing: YES. Countries: 1. Publications: 4.
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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.