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1,880 results for “Dimensionality”
Molecular Classification of Endometriosis and Disease Stage Using High-Dimensional Genomic Data
GEO Series GSE51981. Homo sapiens. 148 samples. Type: Expression profiling by array.
The three-dimensional structure of Epstein-Barr virus genome varies by latency type and is regulated by PARP1 enzymatic activity [ChIP-Seq]
GEO Series GSE159834. human gammaherpesvirus 4. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Hydromechanical Modeling of Nonplanar Three-Dimensional Fracture Propagation Using an Iteratively Coupled Approach
<p>All the data of numerical simulation results shown in the paper.</p>
Data for "One-dimensional edge transport in few-layer WTe2"
<p>Data for the publication "One-dimensional edge transport in few-layer WTe<sub>2</sub>"</p>
Dataset for paper "Two-dimensional particle-in-cell simulations of magnetosonic waves in the dipole magnetic field: On a constant L-shell"
<p>* Reduced datasets for figures in the manuscript.</p> <p>* Code for producing the simulation data.</p>
Multi-Dimensional Simulation of the Volumetric Database by Video - Mapping Technology of Sea surface temperature remotley sensed (Algerian basin) ( SST : 2003 - 2007 - 2015 - 2019 ) (L4, MUR,GHRSST)
<p><span>Marine data, which are volumetric data, contain a variety of information about a water body (e.g., seawater temperature, salinity, density, and current) (Feng Zhang et all.,2019),due to its large scale, random variation and multi-resolution in nature, are hard to be visualized and analyzed (Jerry, 2001; Claes, 2004). Moreover, people can not observe the internal characteristics and phenomena of the ocean directly and comprehensively. ‘Digital Ocean’, which emerged after ‘Digital Earth’, focuses on analyzing ocean phenomena and serves for ocean applications. ‘Digital Earth’ is an information system including massive, multi-resolution, multi-temporal marine databases and analysis algorithms (Shi and Lei, 2011). Nowadays, constructing an ocean model and visualizing volumetric data have become some of the most important and critical research topics of ‘Digital Ocean’. The study of marine volumetric data visualization can be valuable in many other research areas (Coelho et al., 2004).</span></p> <p><span>Volume visualization, one of the most important fields of scientific visualization, is the process of generating meaningful and visual information on a two-dimensional image plane from three dimensional datasets. It has been increasingly important in geographical information systems to improve the ocean modeling (Gonzato and Saec, 2000; Djurcilov et al., 2002)</span> </p> <p><strong><span>REF :</span></strong></p> <p><span>Feng Zhang, Ruichen Mao, Zhenhong Du, Renyi Liu,Spatial and temporal processes visualization for marine environmental data using particle system,Computers & Geosciences, Volume 127,2019,Pages 53-64,ISSN 0098-3004,https://doi.org/10.1016/j.cageo.2019.02.012.</span></p> <p><span>Jerry, T., 2001. Simulating ocean water. ACM SIGGRAPH (Special Interest Group on Computer Graphics) 2001 Course Notes, Los Angeles, <a href="http://home1.get.net/tssndrf/"><span>http://home1.get.net/tssndrf/</span></a>.</span></p> <p><span>Claes, J., 2004. Real time water rendering. Master thesis. Department of Computer Science, Lund University</span></p> <p><span>Shi, S. X., and Lei, B., 2011. Theory and Practice on China Digital Ocean. Ocean Press, Beijing, 80-100.</span></p> <p><span><span>Coelho, A., Nascimento, M., Bentes, C., de Castro, M. C. S.,and Farias, R., 2004. Parallel volume rendering for ocean visualization in a cluster of PCS. In: <em>Proceeding of VI Brazilian</em> <em>Symposium on Geoinformatics</em>, Campos do Jordão, São Paulo, Brazil, 22- 24.</span></span></p> <p><span>Gonzato, J. C., and Saec, B. L., 2000. On modeling and rendering ocean scenes. <em>Journal of Visualisation and Computer</em> <em>Animation</em>, <strong>11 </strong>(1): 27-37.</span></p> <p><span>Djurcilov, S., Kim, K., Lermusiaux, P. F. J., and Pang, A., 2002.Visualizing scalar volumetric data with uncertainty. <em>Computers</em> <em>and Graphics</em>, <strong>2 </strong>(26): 239-248.</span></p>
Multi-dimensional author profiling by business roles
<p>This dataset contains the data used in the paper "Multidimensional Author Profiling for Social Business Intelligence", more specifically, the gold standard (GS) and silver standard (SS) created for training and validating text classifiers for business profiling of social network users.</p> <p>The GS dataset is a CSV file with the following columns:</p> <div> <div> <ul> <li>screen-name, user-id, verified-user (boolean), <strong>multi-level-label</strong>, <strong>manual-verification</strong>, textual-description, followers (int), friends (int), source (not used)</li> </ul> </div> <div>The attribute "multi-level label" contains label represeting the user business profile, regarding the three perspectives: <em>role</em>, <em>colective-vs-individual</em>, and <em>on-domain</em> ones. The attribute "manual-verification" is a second pass from experts to validate the assigned label.</div> <div> </div> <div>The SS dataset is a "|"-separated text file with the following columns:</div> <div> <ul> <li> <div>screen-name|user-id|verified-user|<strong>multi-level-label</strong>|textual-description</div> <div> </div> </li> </ul> </div> <div>The SS dataset is generated with an unsupervised method through an initial seed of bigrams. Therefore, the dataset can contain wrong and incomplete labels, hence the name silver standard (SS).</div> <div> </div> <div>As data is captured from Twitter, we can only relase it under restricted conditions.</div> </div>
Figure 2 in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 2. Gasterophilus pecorum, first instar larva, ultrastructural details of pseudocephalon and thoracic segments. A, pseudocephalon and thoracic segments, anterior view, with arrangement of denticles shown in the box. B, antennomaxillary sensory complex. C, maxillary palp and additional sensillum, with antenna complex in the box. D, pseudocephalon, dorsal view. E, pseudocephalon, mouthhooks and labrum, right lateral view. F, mouthhooks, right lateral view. G, labrum, dorsal view. H, labrum, right lateral view. I, concavity of labrum, right lateral view. J, apical part of labrum, right lateral view. K, inner surface of left mouthhook, right lateral view. L, external surface of right mouthhook, right lateral view. Scale bars: A = 25 µm, 10 µm in the box; B = 5 µm; C = 2 µm, 1.5 µm in the box; D–F = 20 µm; G–H = 10 µm; I = 1.5 µm; J–L = 2.5 µm. Abbreviations: and, antennal dome; ap, additional pit; asI–IV, additional sensillum coeloconicum I–IV; den, denticles; lb, labrum; mh, mouthhook; mp, maxillary palp; sbI–II, sensilla basiconica I–II; scI–III, sensilla coeloconica I–III.
Dataset for "Glue-assisted Exfoliation of Two-dimensional Sulfur-rich Niobium Thiophosphate (Nb4P2S21) for Sulfur-equivalent Electrode Study in Lithium Storage"
<p>Dataset for "Glue-assisted Exfoliation of Two-dimensional Sulfur-rich Niobium Thiophosphate (Nb4P2S21) for Sulfur-equivalent Electrode Study in Lithium Storage"</p> <p>The dataset contains all relevant data and figures regarding the manuscript "Glue-assisted Exfoliation of Two-dimensional Sulfur-rich Niobium Thiophosphate (Nb4P2S21) for Sulfur-equivalent Electrode Study in Lithium Storage".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </p> <p>The data in csv format are labelled as specified in the corresping images (e.g. Figure 1a csv file corresponds to data used to plot graphs from Figure 1a etc.). </p> <p>Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.</p>
Fig. 2 in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 2 SEM micrographs of the head of Catops ventricosus. a Dorsal view. b Dorsal surface of vertex. c Ventral view. d Frontal view. e Lateral view. f Antenna. g Eighth antennomere. h Ninth antennomere. i Detail of the narrow slit opening on the distal surface of the ninth antennomere. bs basistipes, ce compound eye, cl clypeus, ca cardo, ga galea, ge gena, gu
Fig. 4 in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 4 Transverse μCT sections through the head of Catops ventricosus. a–f Sections in anterior-posterior sequence. ata anterior tentorial arm, gfr frontal ganglion, phr pharynx. See the main text for muscle identifications
DIMENSIONAL STABILITY OF KNITTWEAR
<p><em><span>The article presents the results of a study of the mechanism for changing the shape of knitwear caused by tensile, bending, compression deformations, as well as friction when clothing parts come into contact with other surfaces. In this case, the process is considered as a complex deformed state, i.e. simultaneous action of several types of deformations. It was established that in order to more deeply study and substantiate an objective assessment of the shape stability of knitted fabrics and products made from them, it is necessary to introduce a knitwear parameter into the calculation model for assessing shape stability, which will allow a comparative analysis of the shape stability of various knitted fabrics and, on its basis, to predict this most important performance property of products.</span></em></p>
Code and data for paper 'Silent Compiler Bug De-duplication via Three-Dimensional Analysis'
<p>Code and data for paper 'Silent Compiler Bug De-duplication via Three-Dimensional Analysis'</p>
Fig. 1 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 1. Cross validated receiver operator characteristics suggest that the calculated model is robust, and improves with more iterations. Light blue lines show the results of further iterations, and red lines show the results of fewer iterations. Each line is semi-transparent, but the AUC is close to 1 in all cases. Calculation of the classification scores was based off the named class (Class 1), versus everything else (Class 0). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Figure 4. 3D in Cranial variation between coastal and offshore boưlenose dolphins, Tursiops truncatus (Cetacea: Delphinidae) in Ecuador and the Mediterranean: a three-dimensional geometric morphometric study
Figure 4. 3D PCA morphospace generated from the automatic landmarking procedure, with samples categorized by a priori groups. Shaded areas correspond to 90% kernel density clouds for each cluster, as calculated in the R package KS (Duong 2007). Line graphs around the PCA plot represent vector displacement graphs, which represent the difference in landmark position between the mean landmark configuration and specimens grouped along the positive PC1 (A), PC2 (B), and PC3 (C). Darker colour shows a higher rate of shape change for the corresponding landmark.
Study to Investigate Bronchial Arterrial Infusing (BAI) Plus Three-dimensional Conformal Radiotherapy (3DCRT) in Local Advanced Non-small Cell Lung Cancer (NSCLC)
ClinicalTrials.gov study NCT01201044. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dimensional Accuracy of Complete Denture With Rapid Prototyping and Conventional Method
ClinicalTrials.gov study NCT03119753. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Patient Satisfaction and Dimensional Accuracy of Bre Flex and Peek for Removable Partial Dentures
ClinicalTrials.gov study NCT03025555. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Analyzing the Effect of Disinfection Additives on the Linear Dimensional Stability of Dental Alginate Impressions: A Quasi-Experimental Comparative Study
ClinicalTrials.gov study NCT06899672. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects of Platelet and Leukocyte-rich Fibrin on Alveolar Ridge Maintenance Through Three-dimensional Analysis
ClinicalTrials.gov study NCT07278180. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
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.