Dataset is comprised of X-ray fluorescence (XRF) data from sediments from International Ocean Discovery Program (IODP) Expedition 382, Site U1534, South Falkland Sediment Drift, 53.18967 S, 58.76083 W (605 m water depth). The sediment cores were collected from 3 holes using the advanced piston corer onboard RV Joides Resolution from site U1534 between 29/03/2019 and 02/04/2019. XRF data was collected using the XRF Core Scanner III (AVAATECH Serial No. 12) at the XRF Core Scanner Lab at the MARUM (Center for Marine Environmental Sciences, University of Bremen, Germany), March-May 2021. The data were collected as part of a project aiming to investigate the sensitivity of the Atlantic Meridional Overturning Circulation to variability in Pacific-Atlantic connectivity via the 'cold water route'. Dr Victoria Louise Peck was the principle investigator for this project. Funding provided by NERC UKIODP moratorium grant NE/T010908/1

These data encompass land cover data and sediment geochemistry from the Rio Santa catchment of the Peruvian Andes. Sediment samples were collected within the SIGMA: Peru project between 2019-2020. Geochemistry data include major and minor elements in sediment samples determined by X-Ray Fluorescence (XRF), organic matter determined by loss-on-ignition (LOI), and particle size data, and are provided for both the wider Rio Santa catchment and the Ranrahirca sub-catchment. The research was supported by the Natural Environment Research Council and the Newton Fund (grant NE/S013245/1). Full details about this dataset can be found at https://doi.org/10.5285/20837a27-414c-4597-a6d2-3edc1d2e9a98

Elemental analysis of 80 soil samples taken in the Ningbo Watershed, in the Zhangxi catchment, Eastern China. Variables measured include As, Cd, Cr, Cu, Ni, P, Pb, and lead isotope ratios along with concentrations of Zn, Ca and K. Data was collected in March 2016 and analysed at Queens Belfast University. The data was collected and analysed as part of a NERC NSFC funded multi project research programme UK- China Critical Zone Observation Programme. Full details about this dataset can be found at https://doi.org/10.5285/9c2e8b85-48ab-48c9-b69d-dd676a5d086f