Demo Uni Showcase
The Griffindale University research beacons are examples of pioneering discoveries, interdisciplinary collaboration and cross-sector partnerships that are tackling some of the biggest questions facing the planet.
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18024 results
- Mechanical Test LungDesign files for mechanical test lung.
- Dataset
- CCMA primary multi-omics datasetsWe establish a single-site collection of 243 cell lines, including 207 paediatric cancer cell lines representing 14 distinct extracranial and brain childhood tumour types. We subjected 164 paediatric cancer cell lines to multi-omic analyses across three dimensions (DNA-sequencing, RNA-sequencing, DNA methylation) to classify them based on clinically relevant molecular subtypes.
- Dataset
- COVID-19 pandemic stigma and health behaviours (Australia, Malaysia, China)This dataset has been analyzed for a specific manuscript production (see preprint link for the hypothesis and research findings).
- Dataset
- Systematic review dataSecondary aggregate data for systematic review of pregnancy outcomes in PCOS
- Dataset
- The apparent loss of PRC2 chromatin occupancy as an artefact of RNA depletionRaw imaging data used in Healy et al.
- Dataset
- DOT1L in NK cellsOriginal Western Blot images for H3K79me2 and H3 in sorted splenic NK cells from WT or DOT1L.Ncr1 mice. WT in first lane, KO in second lane, marker in last lane.
- Dataset
- J’Accuse! Antisemitism and Financial Markets in the Time of the Dreyfus AffairReplication dataset for the article "J’Accuse! Antisemitism and Financial Markets in the Time of the Dreyfus Affair" on the Journal of Financial Economics.
- Dataset
- Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectraAST results for the article entitled "Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra".
- Dataset
- Time-Series Dataset of Mangroves along the Southern Coast of Vietnam between 2016 through 2023Here, we provide a time-series dataset of mangroves along the Southern Coast of Vietnam, captured at multispectral indices of Sentinel-2 and deep learning model from 2016 through 2023. The generated performance metrics, including overall accuracy, precision, recall, and F1-score were above 95% for whole years. The dataset encompasses a series of temporal observations, allowing for the analysis of changes and patterns in mangrove vegetation over time. Users can explore the dataset to gain insights into the evolution and health of mangrove ecosystems in this specific geographical region. The data includes various parameters relevant to mangrove classification, offering a valuable resource for researchers, environmental scientists, and practitioners engaged in the study and conservation of coastal ecosystems.
- Dataset
- Dislocation-mediated interfacial re-equilibration of pyrite: An alternative model to interface-coupled dissolution-reprecipitation and gold remobilisation - Research dataAtom probe tomography and electron backscattered diffraction data of pyrite.
- Dataset
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