RSS 1.0Datasets
Recent Submissions
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Data for "The Second Competition on Spatial Statistics for Large Datasets"(KAUST Research Repository, 2022-08-11) [Dataset]The enclosed datasets have been generated by the internal spatial data generator tool included in the ExaGeoStat software (https://github.com/ecrc/exageostat). It was used for the 2022 KAUST Competition on Spatial Statistics for Large Datasets (https://cemse.kaust.edu.sa/stsds/2022-kaust-competition-spatial-statistics-large-datasets). The competition had six parts (Sub-competition 1a, Sub-competition 1b, Sub-competition 2a, Sub-competition 2b, Sub-competition 3a, and Sub-competition 3b). The main purpose of the competition was to reassess existing approximation methods on large spatial datasets in a uniform way that guarantees a fair comparison. More information about the datasets can be found in the manuscript "The Second Competition on Spatial Statistics For Large Datasets."
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Network-constrained stochastic unit commitment data sets: ACTIVSg200 and ACTIVSg2000(KAUST Research Repository, 2022-07-27) [Dataset]Input data files used in the computational experiments of the manuscript "An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems" by Ricardo M. Lima, Gonzalo E. Constante-Flores, Antonio J. Conejo, Omar M. Knio The data sets were adapted from the Texas A&M University Electric Grid Datasets. https://electricgrids.engr.tamu.edu. Two cases are considered: 1) ACTIVSg200: the Illinois 200-Bus System. 2) ACTIVSg2000: the 2000-bus synthetic grid on the footprint of Texas The input files are formatted for the GAMS (www.gams.com) model developed. There are csv and GAMS files with the input data: 1) 24 hours profile demand scenarios by node 2) 24 hours profile wind scenarios by wind farm 3) 24 hours profile solar scenarios by solar farm 4) scenarios probabilities 5) generators technical characteristics 6) network characteristics 7) GAMS sets 8) GAMS dynamic sets 9) other input data The solar power output scenarios were generated for each farm location based on their coordinates available in the case study in and on data obtained from the National Solar Radiation Database (https://developer.nrel.gov/docs/solar/nsrdb/). The wind power output scenarios were generated for each farm location based on their coordinates available in the case study and on data obtained from the Wind Integration National Dataset Toolkit (https://developer.nrel.gov/docs/wind/wind-toolkit/). These data was processed with the System Advisor Model scripts (https://sam.nrel.gov).
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Waveform Data for Long-Wavelength Propagation in Fractured Rock Masses (3D Stress Field)(KAUST Research Repository, 2022-05-29) [Dataset]The dataset includes all the waveforms used for isotropic, anisotropic, and creep analyses.
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Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentations(KAUST Research Repository, 2022-05-09) [Dataset]Example data for research paper: - ts_16_annotations.zip ... The 4-class annotation volumes; - ts_16_predictions.zip ... The 4-class prediction volumes; - ts_16_predictions_256.zip ... A 256 x 256 x 448 crop of the 4-class prediction volumes; - ts_16_predictions_512.zip ... A 512 x 512 x 448 crop of the 4-class prediction volumes; - ts_16_predictions_768.zip ... A 768 x 768 x 448 crop of the 4-class prediction volumes; - ts_16_predictions_1024.zip ... A 1024 x 1024 x 448 crop of the 4-class prediction volumes.
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Data for "NeAT: Neural Adaptive Tomography"(KAUST Research Repository, 2022-03-29) [Dataset]This dataset corresponds to the data used in the paper: "NeAT: Neural Adaptive Tomography".
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GlobalSharkMovement/GlobalCollisionRisk: Repository containing derived data for the manuscript 'Global collision-risk hotspots of marine traffic and the world's largest fish, the whale shark'(Github, 2022-03-09) [Dataset]Repository containing derived data for the manuscript 'Global collision-risk hotspots of marine traffic and the world's largest fish, the whale shark'
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Horizontal and vertical components of the GNSS-derived velocity field(KAUST Research Repository, 2022-03-04) [Dataset]This dataset contains two tables with the horizontal and vertical components of the GNSS-derived velocity field used in the study by Viltres et al., 2022 "Present-day motion of the Arabian plate"
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Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations(KAUST Research Repository, 2022-02-28) [Dataset]Namelist file of the WRF-Chem simulations associated with the paper titled "Effect of dust on rainfall over the Red Sea coast based on WRF-Chem model simulations" submitted for consideration in the journal Atmospheric Chemistry and Physics.
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The effect of ash aging and heterogeneous chemistry on evolution of a Pinatubo-size volcanic cloud(KAUST Research Repository, 2022-02-12) [Dataset]The dataset represents a modified version of the source code of EMAC model used in the study "The effect of ash aging and heterogeneous chemistry on evolution of a Pinatubo-size volcanic cloud" as well as the datasets used to evaluate the model results.
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Data for "Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction"(KAUST Research Repository, 2021-12-01) [Dataset]This dataset regroups the projection images used in the paper: "Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction". It includes three scanned objects: Foldable Fan, Jute Ribbon RopeBall, and Toothbrush.
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Research data supporting "Design of Experiment Optimization of Aligned Polymer Thermoelectrics Doped by Ion-Exchange"(Apollo - University of Cambridge Repository, 2021-11-09) [Dataset]
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catly/SGCL-DTI:(Github, 2021-10-17) [Dataset]
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RNA-Seq HEK293T cells transfected with plasmids expressing SARS-CoV-2 Nucleocapsid protein(NCBI, 2021-10-02) [Bioproject, Dataset]HEK293T cells were transfected with plasmids expressing the full-length SARS-CoV-2 Nucleocapsid protein with an without the R203K/G204R mutations
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Droplet lift-off from hydrophobic surfaces from impact with soft-hydrogel spheres(KAUST Research Repository, 2021-09-19) [Dataset]
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Research data supporting "High-mobility, trap-free charge transport in conjugated polymer diodes"(Apollo - University of Cambridge Repository, 2021-09-14) [Dataset]Origin project including all source data used for Figures 1 to 5.The Project is structured in sub-folders, with one folder dedicated to a specfic Figure of the paper. Folder 1 includes SCLC diode characteristics measured for DPP-BTz SCLC diodes with and without additives. Folder 2 includes low-temperature measurements of diodes, extracted activation energies as well as dn/DE values extracted by SCLC-spectroscopy. Folder 3 includes measured diode characteristics of IDT-BT, MEH:PPV and DPP-DTT SCLC diodes, corresponding dn/dE values and PDS spectroscopy data for these materials. The last Folder includes stability measuremtns of DPP-BTz diodes showing the evolution over 10k IV-characteristics. Any additional data from the paper (such as thoese shown in the SI or GIWAXs data) is available on request. Format
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CCDC 2056799: Experimental Crystal Structure Determination : 13,27,41,43,46,49-hexamethoxy-3,10,17,24,31,38-hexaazadecacyclo[38.2.2.212,15.226,29.13,10.117,24.131,38.04,9.018,23.032,37]henpentaconta-1(42),12,14,26,28,40,43,46,49-nonaene 1-chlorobutane solvate(Cambridge Crystallographic Data Centre, 2021-09-08) [Dataset]
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CCDC 2056802: Experimental Crystal Structure Determination : 3,10,17,24,31,38-hexaazadecacyclo[38.2.2.212,15.226,29.13,10.117,24.131,38.04,9.018,23.032,37]henpentaconta-1(42),12,14,26,28,40,43,46,49-nonaene 2-chlorobutane solvate(Cambridge Crystallographic Data Centre, 2021-09-08) [Dataset]
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CCDC 2079899: Experimental Crystal Structure Determination : 3,10,17,24,31,38-hexaazadecacyclo[38.2.2.212,15.226,29.13,10.117,24.131,38.04,9.018,23.032,37]henpentaconta-1(42),12,14,26,28,40,43,46,49-nonaene hemikis(1-chloropentane)(Cambridge Crystallographic Data Centre, 2021-09-08) [Dataset]
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CCDC 2056800: Experimental Crystal Structure Determination : 13,27,41,43,46,49-hexamethoxy-3,10,17,24,31,38-hexaazadecacyclo[38.2.2.212,15.226,29.13,10.117,24.131,38.04,9.018,23.032,37]henpentaconta-1(42),12,14,26,28,40,43,46,49-nonaene 2-chlorobutane unknown solvate(Cambridge Crystallographic Data Centre, 2021-09-08) [Dataset]
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CCDC 2056801: Experimental Crystal Structure Determination : 3,10,17,24,31,38-hexaazadecacyclo[38.2.2.212,15.226,29.13,10.117,24.131,38.04,9.018,23.032,37]henpentaconta-1(42),12,14,26,28,40,43,46,49-nonaene 1-chlorobutane solvate(Cambridge Crystallographic Data Centre, 2021-09-08) [Dataset]