[This dataset is embargoed until July 1, 2025]. This dataset contains information about the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with 26, 28 and 30 carbon atoms. The samples originated from the Lake Suigetsu sediment cores. Data is provided at an approximately ~60 year resolution from 132.7 ka BP to 125.2 ka BP (n = 60). To accompany this data, the mass-normalised concentrations of key n-alkane and n-alkanoic acids are provided, alongside n-alkane index values. This data was collected to infer changes to the Lake Suigetsu catchment and the East Asian Summer Monsoon during Glacial Termination II. This work was supported by the Quaternary Research Association, the Scottish Alliance for Geoscience, Environment and Society, the School of Geographical and Earth Science (University of Glasgow) and the NERC IAPETUS2 Doctoral Training Partnership. Full details about this dataset can be found at https://doi.org/10.5285/e3ebeca1-ce57-40f9-8237-85d8aa543ff8

[This dataset is embargoed until December 1, 2024]. This dataset contains information about the stable oxygen and hydrogen isotope composition (δ18O, δ2H and d-excess) of waters within the Five Lakes of Mikata catchment. Datapoints span March 2011 – January 2012 and July 2020 – July 2022. Samples include precipitation on an event-basis, weekly river water and weekly lake water. To accompany the precipitation isotope composition data, total precipitation and average temperature during each subsampling period is provided. Water temperature and salinity variations with depth within Lake Suigetsu on six dates across the 2020 – 2022 sampling interval are also given. This data was collected to determine if catchment water composition reflects East Asian Monsoon variability. This work was supported by an Australian Research Council Discovery Project (DP200101768), a JSPS KAKENHI Grant (19K20442) and the NERC IAPETUS2 Doctoral Training Partnership. Full details about this dataset can be found at https://doi.org/10.5285/6c8b8134-a877-41ee-aede-f480c7aaa80d

[This dataset is embargoed until February 1, 2025]. This dataset contains information about the stable oxygen isotope composition (δ18O) of bulk diatom silica, and the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with different chain lengths. Samples originated from the Lake Suigetsu sediment cores. Data is provided on an approximately centennial (100-year) resolution from 22,040 cal BP to 9,980 cal BP (n = 120). To accompany this data, the mass-normalised total lipid extract and n-alkanoic acid concentrations of key chain length n-alkanoic acids are provided. This data was collected to infer changes to the East Asian Winter Monsoon and East Asian Summer Monsoon during Glacial Termination I. This work was supported by the National Environmental Isotope Facility (grant number 2308.0920) and the NERC IAPETUS2 Doctoral Training Partnership. Full details about this dataset can be found at https://doi.org/10.5285/aaf7d914-7208-41ea-89a6-128048bd99f2

[This dataset is embargoed until October 1, 2024]. The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,418 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022. ROBIN represents a significant advance in global-scale, accessible streamflow data. The project was funded the UK Natural Environment Research Council Global Partnership Seedcorn Fund - NE/W004038/1 and the NC-International programme [NE/X006247/1] delivering National Capability Full details about this dataset can be found at https://doi.org/10.5285/3b077711-f183-42f1-bac6-c892922c81f4