RSS 1.0Datasets
Recent Submissions
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Polarization Image Dataset(2019-04-18) [Dataset]The polarization image dataset is a collection of 40 high resolution color polarization data, with three polarization components, total intensity, Degree of Linear Polarization (DoLP), Angle of Linear Polarization (AoLP), for each scene. This dataset could be used for research in polarization imaging, including but not limited to the design of imaging polarimeter, polarization image processing, algorithm development, polarization visualization, applications etc. This dataset consists of versatile scenes with natural unpolarized and polarized illuminations. They have been collected in a Division of Time (DoT) manner, with a high extinction ratio polarizer in front of a camera oriented at 0, 45, 90 and 135 degrees respectively. At each angle, 100 images are captured and averaged to suppress noise. A 2 x 2 binning is further adopted to suppress noise. Itot, DoLP and AoLP are then calculated with the four resulting images. The final size of each polarization image is 1024 x 1024 x 3. In addition, various visualization methods are provided along with the data. To run the visualization code, MATLAB 2018b or higher is required.
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Data for "grain-displacive gas migration in fine-grained sediments"(2019-02-03) [Dataset]
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UAV Pathplanning Dataset & Benchmark(2018-12-04) [Dataset]This dataset consists of trajectories, proxy meshes and images generated for pathplanning on real and synthetic scenes. It includes a benchmarking tool allowing new trajectories to output camera images for reconstruction. The tool also allows error and completleness comparison with the groundtruth models and reconstructions
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Advances of Laser and LED-based Visible Light Communication(2018-10-28) [Dataset]The dataset summarized recent advances, including data rate and distance, achieved by published literature in laser diode (LD) and light-emitting diode (LED)-based visible light communication (VLC).
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Advances of Laser-based Underwater Wireless Optical Communication(2018-10-28) [Dataset]The dataset summarized recent advances, including data rate and distance, achieved by published literature in underwater optical communication (UWOC).
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Thesis Chapter 3 tables(2018-09-24) [Dataset]The dataset includes the IDs, phenotypic measurements, multivariate analysis and genome-wide association data collected from the Arabidopsis HapMap population that was used in a high-throughput phenotyping experiment under salt stress to identify the underlying genetic components.
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Data and codes used in "Dust emission modeling using a new high-resolution dust source function in WRF-Chem with implications for air quality over the Middle East and North Africa (MENA)"(2018-07-30) [Dataset]A detailed description of the data files is given in a separate 'ReadMe' file.
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Supplementary Material for: Observations and cloud-resolving modeling of haboob dust storms over the Arabian Peninsula(2018-06-28) [Dataset]This dataset is a supplementary material for "Observations and cloud-resolving modeling of haboob dust storms over the Arabian Peninsula" paper published in JGR. The data contains WRF-Chem source code, namelist file, initial conditions, chemical emissions, a sample of input boundary conditions (for the first day of simulation) and two sample output timesteps for both WRF-Chem domains (the run without spectral nudging). This data subset is enough to test the reproducibility of the simulation. The full model output cannot be uploaded due to data size limitations, and it is available from the authors and KAUST supercomputing Laboratory.
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Data for "Space-time Tomography for Continuously Deforming Objects"(2018-04-26) [Dataset]This is the data for the paper "Space-time Tomography for Continuously Deforming Objects". There are six data sets, including the rose, fluid, dough, lentils, sugar and mushrooms. For each data set, two zip files are provided: 1) input data: the input file that stacked all the post processed projection images, and the geometry file for each projection. 2) results: the reconstructed results using the method described in the paper.
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Dust impact on the Red Sea modelling framework and supporting data(2018-01-08) [Dataset]This dataset is the supporting information for the article "Simulating the Regional Impact of Dust on the Middle East Climate and the Red Sea". It includes the model, initial and boundary conditions, dust optical properties and other data necessary to reproduce the simulations described in the paper.
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Data for Figures 6 and 8 for "Time-dependent Pore Filling"(2018) [Dataset]
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CCDC 1530235: Experimental Crystal Structure Determination : chloro-[p-cymene]-(4,4',5,5'-tetrahydro-1H,1'H-2,2'-bi-imidazole)-ruthenium chloride(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1528379: Experimental Crystal Structure Determination : catena-[(mu7-4,4'-Sulfonyldibenzoato)-lead(ii)](Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1501262: Experimental Crystal Structure Determination : (1,3-bis(2,6-diisopropylphenyl)-1,3-dihydro-2H-imidazol-2-iminato)-trichloro-oxo-tungsten dichloromethane solvate(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1477681: Experimental Crystal Structure Determination : (1,3-bis(2,6-diisopropylphenyl)imidazolidin-2-ylidene)-trimethyl-gallium(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1477682: Experimental Crystal Structure Determination : (1,3-bis(2,6-diisopropylphenyl)imidazolidin-2-ylidene)-trimethyl-indium(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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Supplementary Material for: Measurements of Positively Charged Ions in Premixed Methane-Oxygen Atmospheric Flames(Figshare, 2017) [Dataset]<p>Cations and anions are formed as a result of chemi-ionization processes in combustion systems. Electric fields can be applied to reduce emissions and improve combustion efficiency by active control of the combustion process. Detailed flame ion chemistry models are needed to understand and predict the effect of external electric fields on combustion plasmas. In this work, a molecular beam mass spectrometer (MBMS) is utilized to measure ion concentration profiles in premixed methane–oxygen argon burner-stabilized atmospheric flames. Lean and stoichiometric flames are considered to assess the dependence of ion chemistry on flame stoichiometry. Relative ion concentration profiles are compared with numerical simulations using various temperature profiles, and good qualitative agreement was observed for the stoichiometric flame. However, for the lean flame, numerical simulations misrepresent the spatial distribution of selected ions greatly. Three modifications are suggested to enhance the ion mechanism and improve the agreement between experiments and simulations. The first two modifications comprise the addition of anion detachment reactions to increase anion recombination at low temperatures. The third modification involves restoring a detachment reaction to its original irreversible form. To our knowledge, this work presents the first detailed measurements of cations and flame temperature in canonical methane–oxygen-argon atmospheric flat flames. The positive ion profiles reported here may be useful to validate and improve ion chemistry models for methane-oxygen flames.</p>
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CCDC 1477677: Experimental Crystal Structure Determination : (1,3-bis(2,6-diisopropylphenyl)imidazol-2-ylidene)-trimethyl-gallium(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1477674: Experimental Crystal Structure Determination : (1,3-bis(2,4,6-trimethylphenyl)imidazol-2-ylidene)-trimethyl-gallium(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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CCDC 1477675: Experimental Crystal Structure Determination : (1,3-bis(2,4,6-trimethylphenyl)imidazol-2-ylidene)-trimethyl-indium(Cambridge Crystallographic Data Centre, 2017) [Dataset]An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.