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  • Dataset
    The Earth is warming as a result of increasing greenhouse gas concentrations. About 90% of the additional energy stored in the climate system since the 1950s is in the ocean, with about 60% of the ocean storage in the upper 700 db. Our recent research (Li et al. Accepted 2022) has shown that accurate estimates of the ocean warming require accurate interpolation between the sparse sampling depths of historical profiles. Using a non-linear vertical interpolation scheme (Multiply-Rotated Piecewise Cubic Hermite Interpolating Polynomials, MR-PCHIP) that better approximates the change in temperature with depth results in larger estimates of ocean warming and ocean thermal expansion than a simple but biased estimates using linear interpolation. There are 8 files: Readme.txt, and 7 files corresponding to Figures 1a, 1b, 1c, 1d, 1e, 2 and S1 of Li et al. (2022). These files demonstrate the impact of different vertical interpolation techniques on ocean heat content and steric sea level. Users of the data should cite Li et al. (Accepted 2022)

  • Dataset
    This data set provides Supplementary files referenced in the thesis titled "Visual-analytics-driven bioinformatics methods for the analysis of biomolecular data". In particular, this data set consists of the following files (Details are also provided in an included README.txt file): Description of files in this data set: 1. Supplementary File 4.1. Supplementary File 4.1 - URL and variants schema.pdf. Graphical Backus-Naur schema of the variant syntax recognized by Aquaria. 2. Supplementary File 4.2. Supplementary File 4.2 - Schema.json. Aquaria feature set schema. This schema can be utilized in conjunction with user-specified JSON files for validation in online tools such as https://www.jsonschemavalidator.net/ (see Section 4.5.5). 3. Supplementary File 6.1. Supplementary File 6.1 - Illumina and complete genome IDs.xlsx. NCBI SRA accession identifiers of 673 Illumina (short-read length) and 673 PacBio sequenced genomes (long-read length), corresponding to 673 isolates sequenced using two technologies. 4. Supplementary File 6.2. Supplementary File 6.2 - Distribution of IS in complete genomes.xlsx. ISs in complete genomes. 5. Supplementary File 6.3. Supplementary File 6.3 - QUAST analysis of assemblies.xlsx. Summary of SPAdes and SKESA assembly quality statistics, generated using QUAST. 6. Supplementary File 6.4. Supplementary File 6.4 - WiIS performance metrics.xlsx. WiIS performance metrics for each genome. 7. Supplementary File 6.5. Supplementary File 6.5 - Correlation of performance metrics and assembly statistics.xlsx. Correlation of WiIS performance metrics with SPAdes and SKESA assembly quality statistics. 8. Supplementary File 6.6. Supplementary File 6.6 - IS insertions found by all tools.xlsx. IS insertions found by all tools for each of the 673 short-read sequenced genome. 9. Supplementary File 6.7. Supplementary File 6.7 - IS insertions found by all tools (20 base pair distance threshold).xlsx. IS insertions found by all tools, with a buffer length of 20 base pairs, for each of the 673 short-read sequenced genome. 10. Supplementary File 6.8. Supplementary File 6.8 - WiIS SPAdes IS insertions found with respect.xlsx. Summary of IS insertions found by WiIS (SPAdes) with respect to Tohama I (including the counts of insertions identified by WiIS, but not in Tohama I). 11. Supplementary File 6.9. Wiis.zip. WiIS code.

  • Dataset
    This dataset was generated as a part of a study where we looked at the gene signatures and pathways in RBD-specific memory B cells across disease severity in SARS-CoV-2 infected individuals at convalacense. We identified that certain activated memory B cell signatures that were maintained over a period of 6 months in severe infected individuals, whereas declined in mild/moderate over time.

  • Dataset
    This data is output from the Regional Ocean Modeling System (ROMS) simulations that comprise a suite of four 4D-Var Observing System Simulation Experiments (OSSEs) of the East Australian Current (EAC). The model has a horizontal resolution of 2.5-6 km in the cross shelf direction and 5 km in the along shelf direction, and 30 vertical s-levels. The model domain covers the southeastern Australia oceanic region from 25.1-41.5°S and 147.1-162.2°E, and the grid is orientated 20 degrees clockwise to be predominantly orientated alongshore. These experiments test the impact on the state estimate and representation of the EAC in the presence of subsurface temperature (XBT) observations. Each experiment has varying observation repeat frequencies: quarterly, monthly, fortnightly and weekly. This dataset contains the temperature variable (and associated coordinates and dimensions) for the period Jan 2012 to Jan 2013. All variables in the netcdf are described with metadata. Some data has been removed to reduce file size but full datasets can be obtained by contacting the authors. The ROMS configuration files (header and in files) and the forcing files are linked in the associated dataset (https://doi.org/10.26190/unsworks/24146).

  • Dataset
    1152 human blastocysts from 225 patients undergoing IVF and ICSI. Cultured in an Embryoscope+ assessed for CS using the timelapse images. Excel spreadsheet