RSS 1.0Datasets
Recent Submissions
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Data for "The Third Competition on Spatial Statistics for Large Datasets"(KAUST Research Repository, 2023-09-28) [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 2023 KAUST Competition on Spatial Statistics for Large Datasets (https://cemse.kaust.edu.sa/stsds/news/2023-kaust-competition-spatial-statistics-large-datasets). The competition had four parts (Sub-competition 1a, Sub-competition 1b, Sub-competition 2a, and Sub-competition 2b). 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 file "Competition Description and True Model".
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WinSyn: 2048px Crops(KAUST Research Repository, 2023-09-20) [Dataset]WinSyn is large dataset of architectural windows. This repository contains 72k crops of high resolution photos taken by contractors with professional cameras around the world. It contains images at 2048 x 2048px. Additional details and metadata are available from https://github.com/twak/winsyn_metadata
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WinSyn: Jpeg and Raw data(2023-09-17) [Dataset]
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WinSyn: Crops and Labels(KAUST Research Repository, 2023-09-11) [Dataset]WinSyn is large dataset of architectural windows. This repository contains pre-prepared zips with ~89k cropped photos (rendered at 512px or 1024px square) of windows taken by contractors with professional cameras around the world. It also contains labels for ~9k of these images (rendered at various sized between 128px and 2048px square). Additional details and metadata are available from https://github.com/twak/winsyn_metadata
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Data from: Mesophotic Foraminiferal-Algal Nodules play a role in the Red Sea carbonate budget(Dryad, 2023-08-16) [Dataset]Free-living mesophotic Foraminiferal-Algal Nodules (FANs) have been discovered along the coast of the northern Saudi Arabian Red Sea (NEOM region) where they form a novel benthic ecosystem in mesophotic water depths on the continental shelf. Being mostly spheroidal, the nodules are transported en masse down slope, into the deep water of the basin, where they stop accreting. Radiometric dating informs that FANs can be more than two thousand years old and that they collectively contribute up to 66 g m-2 year-1 to the mesophotic benthic carbonate budget and account for at least 980 megatons of CaCO3, a substantial contribution considering the depauperate production of carbonate by other means in this light-limited environment. Our findings advance the knowledge of mesophotic biodiversity and carbonate production, and provide data that will inform conservation policies in the Saudi Arabian Red Sea.
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Data for "Stratified Water Columns: Homogenization and Interface Evolution (Geophysical Characterization)"(KAUST Research Repository, 2023-08-10) [Dataset]
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Meta-Processing: A robust framework for multi-tasks seismic processing(Zenodo, 2023-07-26) [Dataset]Numerical results
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Sensitivity of African Easterly Waves to Dust Forcing (JGR ARMOSPHERE)(KAUST Research Repository, 2023-07-18) [Dataset]Data and code for the paper titled "Sensitivity of African Easterly Waves to Dust Forcing"
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Genomic characterization and gene bank curation of Aegilops using genotyping-by-sequencing(Dryad, 2023-07-05) [Dataset]In this study, genotyping-by-sequencing (GBS) was performed on 1041 Aegilops accessions, representing 23 different species. These accessions have been maintained by the Wheat Genetics and Resource Center (WGRC) at Kansas State University. The GBS FASTQ files have been uploaded to the NCBI SRA public repository under the BioProject accession number # PRJNA985892. We have provided other files related to data analysis, such as the barcode key file, SNP matrices, and taxonomic information of the accessions in this Dryad repository, which can be accessed through the provided link. The aim of the study was to explore the genetic and genomic characteristics of wild wheat relatives, Aegilops, using a larger number of SNP markers. Here, we also curated the WGRC gene bank Aegilops collection via the identification of misclassified accessions and genetically identical redundant accessions. Further, we explored the genomic relationship between wheat and the different Aegilops species.
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AlphaFold-predicted Structures Used in the Master's Thesis of Linsheng Zhang(KAUST Research Repository, 2023-07) [Dataset]
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Rice(2023-06-14) [Dataset]
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Sorghum(2023-06-14) [Dataset]
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Soybean(2023-06-14) [Dataset]
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Maize(2023-06-14) [Dataset]
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Data sets for "HPC-based genome variant calling workflow (HPC-GVCW)"(2023-06-14) [Dataset]
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SeisSol input files for "Rupture Dynamics of Cascading Earthquakes in a Multiscale Fracture Network"(Zenodo, 2023-06-12) [Dataset]This zip file contains the SeisSol input files necessary to create a mesh and to perform the dynamic rupture simulations described in "Rupture Dynamics of Cascading Earthquakes in a Multiscale Fracture Network". The detailed description of each file and SeisSol version used is described in README, and parameter choice is explained in each ".yaml" and parameter file.
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Light-dependent metabolic shifts in the model diatom Thalassiosira pseudonana(Zenodo, 2023-05-22) [Dataset]Diatoms are major producers of carbon and energy in aquatic ecosystems, however their ability to rapidly and successfully acclimate to wide ranging irradiances is poorly understood at the biochemical level. We applied complementary transcriptomic and metabolomic approaches using the model centric diatom Thalassiosira pseudonana to understand mechanisms regulating cell acclimation and growth under high and low light intensities. The integration of these omics data revealed specific mechanisms that shifted carbon and energy fluxes in T. pseudonana depending on light-driven growth rate. To support a growth rate of >1 d$^{-1}$ in high light, cells upregulated metabolic pathways involved in the production of long chain fatty acids, glycolic acid, and carbohydrates. Under low light, cells maintained a growth rate of £0.2 d$^{-1}$ by conserving photosynthetic energy, through upregulation of carbon retention pathways (e.g., gluconeogenesis, glyoxylate cycle). The few significant metabolites detected in low light acclimated cells were associated with light harvesting, energy storage, and signalling. In particular, our metabolite data revealed that eicosanoic acid, a metabolite commonly involved in cellular signalling, may poise light limited cells for fast metabolic remodelling with improving light conditions. The combined physiological, gene expression and metabolite profiling data revealed key metabolic switch points that underpin diatom success and could be leveraged in cell-based models for predictions and manipulations of cell growth or bio-production.
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Open Research Data Availability for "Accelerated Historical and Future Warming over the Middle East and North Africa in Response to the Global Temperature Change"(2023-05-13) [Appendix]This is an appendix to the article "Accelerated Historical and Future Warming over the Middle East and North Africa in Response to the Global Temperature Change", which has been submitted to Earth's Future for review.
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Modeling the spatio-temporal distribution of Karenia brevis blooms in the Gulf of Mexico(Zenodo, 2023-05-05) [Dataset]Modeling the spatio-temporal distribution of Karenia brevis blooms in the Gulf of Mexico
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Data and Model of Scale Down Simulator for Industrial Syngas Fermentation(4TU.ResearchData, 2023-04-28) [Dataset]The data and MATLAB code are provided for the development of the scale-down simulator of industrial-scale syngas fermentation. The CFD-derived residence time probablity distributions are required for the development and testing the results of the scale-down simulator. For use, they should be in the mentioned folder in the MATLAB file.
