18 datasets

UP Research Data Repository2026 · dataset

<p dir="ltr">Terrestrial gross primary productivity (GPP) is central to the global carbon cycle, and it is strongly constrained by atmospheric dryness (i.e., vapor pressure deficit, VPD). Most existing studies assume a monotonic decline in GPP with increasing VPD. Guided by an optimality framework, we predict that GPP responses to VPD are inherently non-monotonic and that an optimal VPD (i.e., the

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">soil water</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset · unknown

Peat soils cover up to 20% of the Irish landscape, with blanket bogs the most common peatland-type covering 11% and raised bogs covering 4% of the island of Ireland. Blanket bogs and raised bogs are listed under Annex I of the European Union Habitats Directive, with active (peat-accumulating) types classified as priority habitats and subject to strict protection. In addition to being international

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

Understanding peatland hydrology and its interaction with the ecosystem as a whole has been relatively neglected until recent years. In the past, research has been more focused on raised bogs and blanket bogs have been somewhat neglected. This research aims to help bridge some gaps in knowledge related to blanket bog ecohydrology and its influence on ecosystem services to water, through flow and w

ZivaHub + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">test</p>

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">El informe se centra en los diagnósticos ecohidrológicos del régimen de escurrimientos (caudal ecológico), análisis de cambio global y/o climático y los efectos previsibles sobre los usos del agua y la biodiversidad (objetos de conservación) en la cuenca y reserva de agua para protección ecológica del río Usumacinta. Reporte técnico de la Zona Piloto Usumacinta para el Proyecto Nacion

ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset

<p dir="ltr">El informe presenta la contribución de las reservas de agua en materia de conservación de la biodiversidad y reporta la línea base a nivel de especies o taxones para la selección de objetos estratégicos de conservación. Los objetos estratégicos de conservación son especies, hábitats, ecosistemas, procesos ecológicos y servicios ambientales o sociales a través de los cuales se enfoca l

ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">code</p>

ZivaHub + Deakin Research Online + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<h4 dir="ltr">1. Overview</h4><p dir="ltr">This repository contains the comprehensive empirical datasets supporting the manuscript <b>"Mangrove restoration reactivates subterranean carbon-alkalinity pump to enhance coastal carbon buffering"</b> </p><p dir="ltr">The dataset provides multi-disciplinary evidence across paired restored mangrove and bare mudflat settings, integrating long-term in situ

ZivaHub2026 · dataset

<p dir="ltr">Figure 1 shows the location of the Ikopa River Basin study area; Figure 2 presents the main physical and environmental characteristics of the watershed; Figure 3 shows temperature variations from 2020 to 2022; Figure 4 presents monthly precipitation; Figure 5 illustrates seasonal changes in evapotranspiration; and Figure 6 shows the main hydrological parameters and seasonal water bala

HKU DataHub + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports the study of hydrological model niches: reproducible geographical domains of relative model skill identified by comparing nine global water models with observations from the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On missions. It brings together gridded water-storage estimates and numerical evidence for regional model contributions, their

figshare2026 · Astronomical catalogue

<p dir="ltr">This repository contains the processed event-scale data and MATLAB analysis code supporting the manuscript “Persistent Cloudy-Rainy Events Weaken Terrestrial Ecosystem Carbon Uptake Through Sustained Low Radiation.” The dataset includes 3,711 persistent cloudy-rainy events from 114 FLUXNET sites and can be used to reproduce the main quantitative results reported in the manuscript. Raw

figshare2026 · Astronomical catalogue

<p dir="ltr">Grassland aboveground biomass (AGB) links ecosystem productivity with terrestrial water use, yet long term, continuous, and high resolution monthly AGB records remain scarce, limiting assessments of seasonal biomass dynamics, long term change, and associated ecohydrological responses. Here, we developed a two-stage framework for seamless monthly grassland AGB mapping during the growin

figshare2026 · Astronomical catalogue

<p dir="ltr">In this dataset, flux data from 106 sites were obtained from the FLUXNET2015. GPP and RE derived from the nighttime partitioning method were used to calculate CUE</p>

Teesside University Research Data Repository2025 · dataset

data for ecohydrology

Borealis2024 · dataset · unknown

This record is for the dataset “Snowmelt water use at transpiration onset: Dataset” at https://doi.org/10.20383/102.0554. Most studies investigate tree water use during the growing season. However, we know little about the source of transpiration during spring onset when trees rehydrate and recommence transpiration. This repository holds high-temporal resolution isotopic (δ18O and δ2H) and hydrome

Teesside University Research Data Repository2019 · dataset

In this article, we sought to examine how landscape composition metrics influence water quality predictions in headwater catchments. The data shows the percent of each land use category (meadows and forests) within each catchment (identified by sample #) which was gathered via GIS analysis (vectorization and calculation) as well as the land use percentages when each weighting scheme was applied wh

Teesside University Research Data Repository2018 · dataset

The canopy water storage capacity (S) is an important parameter for the hydrological cycle in forests. One factor which influences the canopy water storage capacity is leaf texture, which in turn is thought to be affected by the contents of polycyclic aromatic hydrocarbons (PAHs). In order to improve our understanding of the relevant processes of S we simulated rainfall and measured the canopy wat