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A 16-year global climate data record of total column water vapour generated from OMI observations in ... https://essd.copernicus.org/articles/15/3023/2023/

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Aerial Estimates of Methane and Carbon Dioxide Emission Rates Using a Mass Balance Approach in New ... https://essd.copernicus.org/preprints/essd-2025-135/

Abstract. Accurate greenhouse gas (GHG) emissions inventories are vital for climate mitigation as they can identify areas of need and ensure effective policy and regulation in reducing GHG emissions. Several studies have shown that self-reporting GHG inventories are undercounting methane emissions ...

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ESSDD - A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 ... https://essd.copernicus.org/preprints/essd-2022-63/

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CropLayer: A high-accuracy 2-meter resolution cropland mapping dataset for China in 2020 derived ... https://essd.copernicus.org/preprints/essd-2025-44/

Abstract. Accurate and detailed cropland maps are essential for agricultural planning, resource management, and food security, particularly in countries like China, where agricultural productivity is high but resources are limited. Despite the availability of several medium-to-high-resolution ...

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A high-resolution (0.05°) global seamless continuity record (2002–2023) of near-surface soil ... https://essd.copernicus.org/preprints/essd-2025-62/

Abstract. The global near-surface soil freeze-thaw (FT) states are crucial for understanding complex interactions with hydrological, ecological, and climatic processes. However, current remote sensing of FT states primarily relies on passive microwave remote sensing, which, despite its all-weather ...

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Measurement of the ice-nucleating particle concentration using a mobile filter-based sampler ... https://essd.copernicus.org/preprints/essd-2025-87/

Abstract. A novel filter-based sampler was deployed during the Pallas Cloud Experiment (PaCE) 2022 for a one-month period in September and October 2022 in Finnish Lapland around 5 km north of the Sammaltunturi station. This area frequently features low-level clouds during autumn. The sampler was ...

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The UWO dataset – long-term observations from a full-scale field laboratory to better understand ... https://essd.copernicus.org/preprints/essd-2024-47/

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GEMS-GER: A Machine Learning Benchmark Dataset of Long-Term Groundwater Levels in Germany with ... https://essd.copernicus.org/preprints/essd-2025-321/

Abstract. We present GEMS-GER (Groundwater Levels, Environment, Meteorology, Site Properties), the first benchmark dataset specifically designed for machine learning applications in long-term groundwater level modeling in Germany. The dataset comprises 32 years of gapless weekly observations from ...

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Abstract. The article describes a unique dataset of zooplankton collected by the large Juday net in the North Pacific – one of the most productive and economically important regions of the world ocean (Volvenko, 2021a https://doi.pangaea.de/10.1594/PANGAEA.937751): the sources ...

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A global database of soil microbial communities and associated climate, soil and vegetation factors https://essd.copernicus.org/preprints/essd-2025-501/

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A database of net zooplankton of the Far East seas and adjacent Pacific Ocean waters https://essd.copernicus.org/preprints/essd-2021-29/

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Global open-ocean daily turbulent heat flux dataset (1992–2020) from SSM/I via deep learning https://essd.copernicus.org/preprints/essd-2025-545/

Abstract. Air–sea turbulent heat fluxes – latent heat flux (LHF) and sensible heat flux (SHF) – are fundamental to the Earth’s energy and moisture budgets and to ocean–atmosphere coupling. Global flux estimates via bulk aerodynamic algorithms depend on sea surface temperature (SST), ...

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Gap-Filling for Daily Evapotranspiration Observations with full-factorial method at Global Flux ... https://essd.copernicus.org/preprints/essd-2024-291/

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