This dataset underlies the paper "Assessing data management and sharing plans: The “state of play” at Duke and opportunities for cross-campus collaborations." To more eff[...]

Allosteric control of reaction thermodynamics is well understood but the mechanisms by which changes in local geometries of receptor sites lower activation reaction barri[...]

Project abstract: Control of gene expression by transcription factors (TFs) is a critical mechanism for cells to maintain homeostasis in response to environmental signals[...]

Accurate cell segmentation is an essential step for quantitative analysis of biological imaging data. Recent advances in deep learning have led to the development of gene[...]

Raw simulated sequence data (FASTAs TE insert TXT files and log files) from GARLIC (https://github.com/caballero/Garlic) simulations of five genomic mod[...]

The dataset was obtained using high-resolution X-ray micro-CT scans with a TESCAN UniTOM XL scanner at Duke University’s Creativ Engineering Laboratory. Samples were secu[...]

Description: This dataset consists of 143 mammograms and associated lesion segmentations saved as NumPy (.npy) files. The dataset is split across three directories by the[...]

Quantum error correction (QEC) is often implemented on hardware with biased noise, where Pauli-$Z$ errors occur more frequently than Pauli-$X$ errors. This has motivated [...]

Recent advances in computational solvers combined with the introduction of exascale systems have greatly increased the resolution and fidelity of large-scale simulations.[...]

Increases in the scale and complexity of behavioral data pose an increasing challenge for data analysis. A common strategy involves replacing entire behaviors with small [...]