This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change. The work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’. Full details about this dataset can be found at https://doi.org/10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be

[This nonGeographicDataset is embargoed until May 1, 2024]. Computed tomography (CT) scans of 212 museum specimens, including mostly cartilaginous and bony fishes as well as several reptiles and amphibians, were obtained to quantitatively study vertebral column morphology and regionalisation. The specimens are housed in the University of Cambridge Museum of Zoology or the Natural History Museum in London (specimen identification numbers can be found in the supporting documentation). These data consist of 1) series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions; 2) STL files of each vertebra for a subset of the specimens scanned; 3) 3D landmark coordinates or measurements for each vertebra for a subset of taxa scanned; 4) tables of results from regionalisation analyses, and 5) photographs of eight fossil fish specimens Supplemental files include details of the data collection procedures, specimen identification numbers and updated taxonomy, and CT scanning parameters for all scans. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/1c76e443-da02-4bc4-a041-0f79adc016be