AUR & UMB Anticancer Dataset This dataset contains quantitative data on the anticancer effects of the natural coumarins Auraptene (AUR) and Umbelliprenin (UMB) across 27 studies. The data were collected from published literature reporting the impacts of AUR and UMB treatment on the viability of diverse human cancer cell lines.
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ALFI (Annotations for Label-Free Images) is a dataset of images and annotations for label-free microscopy imaging. It consists of 29 time-lapse image sequences with various annotations (pixel-wise segmentation masks, object-wise bounding boxes, and tracking information), made publicly available to the scientific community through figshare.
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The TCB-DS dataset is a specialized collection of microscopic images focusing on the automatic recognition of cyanobacteria genera. This dataset was meticulously compiled to address the challenges associated with the varying image qualities due to differences in contrast, resolution, size, lighting, and the presence of noise in the original images. It includes 2,591 images with varying dimensions, ranging from a minimum of 11 × 41 pixels to a maximum of 5184 × 3456 pixels.