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1,880 results for “Dimensionality”
Three-Dimensional Surface Deformation Field Related to the 2017 North Korea Nuclear Test
<p>Three-dimensional (3D) surface deformation field was retrieved by using the two ALOS PALSAR-2 stripmapinterferometric pairs that acquired from the ascending (20170829_20170912) and descending (20170831_20170928) orbits. For this, the ascending and descending LOS and AT deformations were created from the pairs by the multi-kernel offset tracking method, and then 3D deformation field was retrieved from the ascending and descending LOS and AT deformations. </p> <p>For the 3D deformation field, the unit is centimeter and the coordinate system is geodetic with the WGS84 ellipsoid.</p>
Three-dimensional Stable Matching with Cyclic Preferences: Computational proofs log files
<p>Output from SAT solvers in the computational proofs of the paper: "Three-dimensional Stable Matching with Cyclic Preferences" by Kanstantsin Pashkovich and Laurent Poirrier.</p>
Fig. 1 in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 1 Catops ventricosus, head, habitus, photomicrographs. a Dorsal view. b Ventral view. c Frontal view. Images produced by focus stacking
Fig. 5 3D in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 5 3D reconstructions of the head capsule, tentorium, and muscles associated to mandible and maxilla of Catops ventricosus. a Dorsal view of the mandibular muscle system. b Dorsal view of the maxillar muscle system. ata anterior tentorial arm; dta dorsal tentorial arm, hpl horizontal plate of the laminatentorium, lt laminatentorium, md mandible, mp maxillary palp, mvl median vertical lamella of the laminatentorium, mxl maxilla, pta posterior tentorial arm, tb tentorial bridge
Fig. 3 in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 3 SEM micrographs of the mouthparts of Catops ventricosus. a Dorsal view of left mandible. b Ventral view of left mandible. c Dorsal view of left maxilla. d Ventral view of left maxilla. e Dorsal view of apical maxillary palpomere. f Lateral view of apical maxillary palpomere. g Lateral view of subapical maxillary palpomere. h Dorsal surface of labrum. i Ventral surface of labrum. j Dorsal surface of hypopharynxprementum complex. k Ventral surface of hypopharynx-prementum complex, with arrows indicating areas of origin of selected cephalic muscles.
Implementation and Results of a "Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment"
<p><strong><em>1. Introduction</em></strong></p> <p>In this archive, we provide the implementation and experimental results of a Randomized Local Search (RLS) applied to the two-dimensional bin packing problem with and without orientation. As benchmark dataset, we use the <code>beng</code>, <code>A</code>, and <code>class</code> instances from <a href="https://site.unibo.it/operations-research/en/research/2dpacklib">2DPackLib</a> as well as the four non-trivial Almost Squares in Almost Squares (<a href="https://math.vu.nl/~sbhulai/publications/data_analytics2016b.pdf"><code>Asqas</code></a>) instances</p> <p>These are the data used in the paper below, which contains the exact specification of all algorithms, objective functions, and the encoding we applied.</p> <p>Rui Zhao, Zhize Wu, Daan van den Berg, Matthias Thürer, Tianyu Liang, Ming Tan, and Thomas Weise. Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment. In <em>16th International Conference on Evolutionary Computation Theory and Applications (ECTA'24), part of the 16th International Joint Conference on Computational Intelligence (IJCCI'24)</em>. November 20-24, 2024. Porto, Portugal. Setúbal, Portugal: SciTePress.</p> <p>To run the experiments, you need <a href="https://thomasweise.github.io/moptipyapps">moptipyapps</a> and <a href="https://thomasweise.github.io/moptipy">moptipy</a>, which contain the actual algorithm implementations. Both packages are available on GitHub and on PyPI. However, we include several versions of them in the folder <code>source/packages</code>, just in case.</p> <p><strong><em>2. Directory Structure</em></strong></p> <p>This archive contains the following directories:</p> <ul> <li><code>source</code> contains the Python source codes needed to run the experiment.</li> <li><code>source/packages</code> contains the source codes of the Python packages with the actual algorithm implementations.</li> <li><code>source/experiment_execution_scripts</code> contains the scripts to run the experiments.</li> <li><code>results</code> is the directory with the results, i.e., with the log files generated by the experiment.</li> <li><code>evaluator</code> is the folder containing Python scripts that were used to evaluate these results.</li> <li><code>evaluation</code> was generated using the evaluation scripts and contains tables and figures and a result summary in CSV format.</li> </ul> <p><strong><em>3. License</em></strong></p> <p>The files in this repository are under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a>, with the exception of the files of <a href="https://site.unibo.it/operations-research/en/research/2dpacklib">2DPackLib</a> and other benchmark datasets included, which are under copyright of their respective owner (we believe that they are in the public domain, as they are provided by many sources, included in many software packages under various open source licenses, and on many websites). The license is contained as file <code>LICENSE.txt</code> in this archive.</p> <p><strong><em>4. Contact</em></strong></p> <p>If you have any questions or suggestions, please contact</p> <p>Mr. Rui ZHAO (赵睿) of the Institute of Applied Optimization (应用优化研究所, <a href="http://iao.hfuu.edu.cn">IAO</a>) of the School of Artificial Intelligence and Big Data (<a href="http://www.hfuu.edu.cn/aibd/">人工智能与大数据学院</a>) at <a href="http://www.hfuu.edu.cn/english/">Hefei University</a> (<a href="http://www.hfuu.edu.cn/">合肥大学</a>) in Hefei, Anhui, China (中国安徽省合肥市) via email to <a href="mailto:zr1329142665@163.com">zr1329142665@163.com</a>.</p>
Quantized electrical, thermal, and spin transports of non-Hermitian clean and dirty two-dimensional topological insulators and superconductors
<p>The module contains the code and data corresponding to the paper arXiv:2408.00763. The README.txt file contains the description as to how to navigate through the files.</p>
Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders
Open the record for dataset details and reuse information.
Supplemental Video for "Direct Two-Dimensional Goniometric Steering of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies"
<p>Supplemental video for the paper submitted to RSI titled "Direct Two-Dimensional Goniometric Aiming of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies". </p> <p>A dual-axis goniometer is used to directly aim a vacuum electrospray ionization source (vESI). This device enables the ion beam to be aimed onto a target to dramatically increase the SNR of downstream diagnostics while also enable angular time-of-flight studies of the vESI plumes.</p>
Movies for "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice"
<p>This upload includes movies corresponding to Figures 4 and 5 of the paper "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice", <a href="https://arxiv.org/abs/2409.02268" target="_blank" rel="noopener">arXiv:2409.02268</a>. </p>
TIE-GCM ROPE - Dimensionality Reduction: Part I
<p>This Repository contains the dataset and models used to obtain the results published in the paper</p>
Supplementary data for "Dimensionality reduction distills complex evolutionary relationships in seasonal influenza and SARS-CoV-2"
Open the record for dataset details and reuse information.
IHH - Illuminating the multi-dimensional contributions of Small-scale Fisheries
<p>Publicly available data and codes for the paper "Illuminating the multi-dimensional contributions of small-scale fisheries" by Basurto et al. 2024 (Nature). To produce the main paper figure please go to: https://github.com/DanOvando/ihh_figs</p>
Online Repository for One-dimensional Power Spectral Analysis of Fresh Lunar Impact Craters
<p>This dataset includes:</p> <p>(1) Shape files of the rim crest, floor, and rim flank outlines of our selected fresh lunar craters.</p> <p>(2) Power spectral densities of the rim crest, floor, and rim flank outlines of our selected fresh lunar craters.</p> <p>(3) Python scripts to generate synthetic fresh lunar craters.</p> <p>(4) A spreadsheet that contains the morphometric parameters and the breakpoints (wavelengths and powers).</p>
Data for "Two-dimensional non-Hermitian skin effect in an ultracold Fermi gas"
<p>This dataset is for research article "Two-dimensional non-Hermitian skin effect in an ultracold Fermi gas".</p>
Four-dimensional aircraft emission inventory dataset of Landing and take-off cycle in China from 2019 to 2023
<p>Aircraft emissions during landing and takeoff (LTO) having unique three-dimensional spatial characteristics and typical hourly temporal variations. In order to further investigate the adverse effects of aircraft emissions, the adverse effects for aircraft emissions, this study integrated the emission calculation and flight trajectory recognition methods to establish a four-dimensional aircraft emission inventory dataset of China’s LTO cycle (4D-LTO emission inventory dataset) from 2019 to 2023. The dataset has a high spatial-temporal resolution (hourly, 0.03° × 0.03° × 34 height layers).</p> <p>Information for 4D-LTO emission inventory dataset during 2019-2023:</p> <p>Species: NOx.</p> <p>Number of airports included in different years: 2019 (237 airports), 2020 (239 airports), 2021 (248 airports), 2022 (254 airports), 2023 (257 airports).</p> <p>Temporal information: 2019 (8760 hours), 2020 (8784 hours), 2021 (8760 hours), 2022 (8760 hours), 2023 (8760 hours).</p> <p>Spatial information: The horizontal resolution of the 4D-LTO emission inventory is 0.03° × 0.03° with the latitude and longitude range of 3.40°N–53.56°N and 73.44°E–135.09°E, respectively. The altitude resolution was divided into 34 layers from 0 m to 15668 m (0.0 m–38.3 m, 38.3 m–76.7 m, 76.7 m–115.3 m, 115.3 m–154 m, 154 m–231.8 m, 231.8 m–310.3 m, 310.3 m–389.3 m, 389.3 m–469 m, 469 m–549.3 m, 549.3 m–630.3 m, 630.3 m–711.9 m, 711.9 m–794.2 m, 794.2 m–960.7 m, 960.7 m–1130.1 m, 1130.1 m–1302.3 m, 1302.3 m–1477.6 m, 1477.6 m–1656.0 m, 1656.0 m–1929.7 m, 1929.7 m–2211.1 m, 2211.1 m–2599.3 m, 2599.3 m–3107.2 m, 3107.2 m–3643.1 m, 3643.1 m–4210.5 m, 4210.5 m–4813.9 m, 4813.9 m–5458.5 m, 5458.5 m–6151.2 m, 6151.2 m–6900.4 m, 6900.4 m–7717.4 m, 7717.4 m–8617.3 m, 8617.3 m–9621.2 m, 9621.2 m–10759.7 m, 10759.7 m–12080.6 m, 12080.6 m–13664.8 m, 13664.8 m–15668 m.).</p>
Dataset for ''First comparison of MLT 3-dimensional wind retrieval methods and first direct extraction of vertical wind tides''
<p>This dataset supports the figures in the article "First comparison of the MLT vertical wind retrieval methods and first direct extraction of vertical wind tides" and the supporting information. The data are provided in MatLab format.</p>
Dataset for the article "Transforming ceria into 2-dimensional clusters enhances catalytic activity"
<p>CONTCAR files of the structures discussed in the article "Transforming ceria into 2-dimensional clusters enhances catalytic activity"</p>
Data from: Three-dimensional soft tissue preservation revealed in the skin of a non-avian dinosaur
<p>The most commonly preserved soft tissues associated with ornithischian dinosaurs are skin remains. The apparent resistance of hadrosaur skin to decay, and its abundance in the fossil record relative to that of other tetrapods, has been attributed to factors such as thickness and composition. Here we report additional intrinsic factors within hadrosaur skin: 3D‐preserved eumelanin‐bearing bodies, dermal cells and blood vessel fragments in an organic matrix composed of protein fossilization products. The skin is much thinner than that of living mammals of similar size. It is likely that the preservation of hadrosaur skin is related to the arrangement of the layers composing it.</p>
Raw data for "Signatures of Intra- and Intermolecular Vibrational Coupling in Halogenated Liquids Revealed by Two-Dimensional Raman-Terahertz Spectroscopy"
<p>Raw data for "Signatures of Intra- and Intermolecular Vibrational Coupling in Halogenated Liquids Revealed by Two-Dimensional Raman-Terahertz Spectroscopy"</p>
ScienceDex guides
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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.