The data set provides surface water storage (SWS) and groundwater storage (GWS) data for the Northern East African Rift region.
SWS is estimated from a combination of lake water levels observed with satellite altimetry and water surface area derived from the water occurrence maps. The truncated pyramid formula estimates water volume change from these two data sets. The volume change is then converted to surface water storage and uniformly distributed over the lake surface, leading to SWS. To match the spatial resolution of SWS with the spatial resolution of terrestrial water storage (TWS), the resulting maps are spatially Gaussian filtered, half-width 250km.
TWS, as observed with the GRACE and GRACE-FO satellite mission, monitors the sum of changes in the water storage compartments SWS, GWS, snow and ice, and root-zone soil moisture (RZSM). Thus, to estimate GWS for this data set, the water storage compartments are subtracted from TWS. Here, we neglect snow and ice.
The temporal coverage of the data is from April 2020 to May 2023.
The depletion of dissolved oxygen in lakes (hypoxia) is an ongoing phenomenon that put under risk ecological systems and impact sedimentary environments. This phenomenon is driven by the increasing anthropogenic pressure on such environments. This dataset contains high-resolution sedimentological, geochemical and biological depth series of selected short sediment cores from lake Tiefer See (NE Germany). Those cores cover the recent transition from homogeneous to laminated sediments (~100 years ago), a transition that reflect the onset of hypoxic conditions in the lake. The cores were taken from different locations and water depths across the lake and allow to trace the spatiotemporal evolution of hypoxia spread in the lake.
The dataset presented here encompasses the results of the geochemical analyses of water and recent carbonate samples collected in the El Peinado basin located in the Southern Puna Plateau in Catamarca, Argentina. This system formed by the hypersaline lake Laguna del Peinado, numerous hydrothermal springs, and the small hypersaline lake Laguna Turquesa, provides a natural laboratory to study carbonate formation and the mechanisms that control the incorporation of various elements and isotopes into their structure under a broad range of geochemical conditions. Geochemical analyses include data on the physicochemical parameters, elemental, and isotopic (δ18O, δ2H, δ11B) composition of the waters, and data on the elemental and isotopic (δ18O, δ13C, δ11B) composition of the carbonates. These data allowed us to calculate element partition coefficients and isotopic fractionation between coupled water-carbonate samples from this natural setting, which are also included here. This dataset also includes the results of water modelling using the software PHREEQC, which contains data on the chemical speciation of carbon and boron, the species contributing to total alkalinity, and mineral saturation indices. This information is useful for all those dealing with geochemistry of hypersaline lakes, geochemistry of continental carbonates, as well as paleoenvironmental and paleoclimatic studies using lake carbonates as archives. These data correspond to the research article “On the origin and processes controlling the elemental and isotopic composition of carbonates in hypersaline Andean lakes”. The full description of the data is provided in the data description file.