READ ME This text describes the data presented in the paper: "Morphogenesis of the mammalian aortic arch arteries" by Anderson & Bamforth. ======================== Introductory information ======================== Files included in the data deposit (include a short description of what data are contained): 1) Magnetic Resonance Imaging datasets of images shown in Figure 7. Data are AmiraMesh (.am) files of control and Tbx1-null E15.5 fetuses shown in the figure. 2) microCT imaging datasets of human fetuses shown in Figures 5, 8 & 9. Data are AmiraMesh (.am) files of each fetus shown in the figures. The 11pcw dataset is not the full fetus due to size. Explain the relationship between multiple data sets, if required: Different methods were employed depending on the number and stage of fetuses needing to be imaged for analysis. MRI was used for the simultaneous imaging of 32 embryos at E15.5. microCT was used for imaging individual human fetuses. Key words used to describe the data: MRI, uCT, cardiovascular anatomy ========================== Methodological information ========================== A brief method description of what the data is, how and why it was collected or created, and how it was processed: Methodology for each imaging type has been published: Degenhardt K, Wright AC, Horng D, Padmanabhan A, Epstein JA: Rapid 3D phenotyping of cardiovascular development in mouse embryos by micro-CT with iodine staining. Circ Cardiovasc Imaging 2010, 3(3):314-322. Bamforth SD, Schneider JE, Bhattacharya S: High-throughput analysis of mouse embryos by magnetic resonance imaging. Cold Spring Harb Protoc 2012, 2012(1):93-101. Imaging data was acquired to facilitate the accurate identification of cardiovascular development. Each methodology generates a stack of TIFF or JPEG images that are imported into Amira Imaging software, creating an AmiraMesh (.am) file of the embryo that can be examined in any orientation. 3D images were created by segementation to show the anatomy in the paper. ======= Contact ======= Please contact rdm@ncl.ac.uk for further information