What is Edinburgh DataShare?
Edinburgh DataShare is a digital repository of research data produced at the University of Edinburgh, hosted by Information Services. Edinburgh University researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.
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Recently Added
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Raw DFT data for "High-temperature phase transitions in dense germanium"
The tarballs in this repository contain the following raw DFT data relevant to "High-temperature phase transitions in dense germanium", as published in J. Chem. Phys.: * PBE & PBEsol enthalpies * Seeds for structure ... -
Rules of formation of H–C–N–O compounds at high pressure and the fates of planetary ices
The solar system’s outer planets, and many of their moons, are dominated by matter from the H–C–N–O chemical space, based on solar system abundances of hydrogen and the planetary ices H2O, CH4 , and NH3 . In the planetary ... -
Supplementary files supporting the paper "Microarray profiling emphasizes transcriptomic differences between hippocampal in vivo tissue and in vitro cultures"
Differential expression was performed using the R package "limma" (R package version 3.44.3) (Supplementary files 1-4; 1_diff_expr_WT_cell_vs_tissue, 2_diff_expr_101LL_cell_vs_tissue, 3_diff_expr_cell_WT_ vs_101LL, ... -
High and asymmetric somato-dendritic coupling of V1 layer 5 neurons independent of visual stimulation and locomotion
Ex vivo calibration of GCaMP6s and GCaMP6f signals in soma and apical tuft dendrites of layer 5 pyramidal neurons from the mouse primary visual cortex (V1). We examined the relationship between neuronal spiking and calcium ... -
ATEC manuscript 4 - supporting data: "The Effect of Antecedence on Empirical Model Forecasts of Crop Yield from Observations of Canopy Properties"
Identification of yield deficits early in the growing season for cereal crops (e.g., Triticum aestivum) could help to identify more precise agronomic strategies for intervention to manage production. We investigated how ...
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