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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,763 datasets
Huifu Li published a panel dataset on figshare analyzing the impact of digital-economy development on air quality in Chinese inter-provincial border cities from 2014 to 2023. The 9.5 KB XLS file contains empirical results showing significant air quality improvements and spatial-spillover effects. The dataset was last updated on 2026-05-14.
Chinese inter-provincial border cities provide panel data from 2014 to 2023. The dataset likely contains metrics for analyzing the impact of digital-economy development on regional air quality. It was authored by Huifu Li and last updated in May 2026.
Panel data from Chinese inter-provincial border cities tracks the relationship between digital-economy development and air quality from 2014 to 2023. Author Huifu Li published the dataset on figshare under a CC-BY-4.0 license. Empirical results from the study indicate the digital economy significantly improves air quality, with stronger effects in non-contiguous, poverty-stricken areas.
Panel data from Chinese inter-provincial border cities from 2014 to 2023 analyzes the impact of digital-economy development on air quality. Empirical results show the digital economy significantly improves air quality, with stronger effects in non-contiguous, poverty-stricken areas. The dataset, authored by Huifu Li and shared under CC-BY-4.0, includes mechanism analysis on market segmentation and environmental regulation.
Panel data from Chinese inter-provincial border cities spanning 2014 to 2023, used to analyze the impact of digital-economy development on air quality. The dataset, shared by Huifu Li on figshare, includes descriptive statistics of variables. The study finds the digital economy improves air quality, especially in non-contiguous, poverty-stricken areas, and exhibits positive spatial-spillover effects.
Panel data from Chinese inter-provincial border cities from 2014 to 2023 analyzes the impact of digital-economy development on air quality. The dataset, created by Huifu Li and last updated in May 2026, is a 2.4 MB XLSX file available under a CC-BY-4.0 license. It supports a study finding that the digital economy improves air quality, especially in non-contiguous, poverty-stricken areas and regions with lower coordinated development.
Panel data from Chinese inter-provincial border cities from 2014 to 2023 analyzes the impact of digital-economy development on air quality. Author Huifu Li published the dataset on figshare under a CC-BY-4.0 license, last updated in May 2026. The study's empirical results suggest the digital economy improves air quality, particularly in non-contiguous, poverty-stricken areas.
World Bank Group data covering climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use for St. Lucia. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader collection of indicators relevant to climate change found under other data categories.
World Bank Group data covering climate systems, impacts, resilience, emissions, and energy use for Libya. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It aggregates indicators relevant to climate change from multiple thematic areas including environment, agriculture, energy, and health.
Liberia-focused data from the World Bank covering climate systems, impacts, resilience, greenhouse gas emissions, and energy use. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader collection of development indicators relevant to climate change.
World Bank Group data covering climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use for Lebanon. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader effort to address climate change risks in developing countries.
World Bank Group data covering climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use for Lao PDR. The dataset is intended to inform understanding of climate change risks in developing countries. It was last updated on 2026-04-28 and is licensed under CC-BY-4.0.
World Bank data for Kuwait covers climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use. The dataset is sourced from the World Bank's data portal and last updated on 2026-04-28. Climate change effects like higher temperatures and rising sea levels pose significant risks to developing countries.
Republic of Korea data from the World Bank's portal covers climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader effort to address climate change risks in developing countries.
World Bank Group data on climate change for St. Kitts and Nevis covers climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader collection of indicators relevant to climate change found under other data pages.
World Bank Group data on climate systems, impacts, resilience, emissions, and energy use for Kiribati. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader collection of indicators relevant to climate change across sectors like environment, agriculture, and health.
The most recent reporting year's data from Canada's National Pollutant Release Inventory. This facility-specific dataset contains total reported quantities of pollutant releases to air, water, and land, as well as disposals and transfers for recycling, categorized by industrial sector. It is published by Environment and Climate Change Canada.
Cambodia-focused data from the World Bank covering climate systems, exposure to impacts, resilience, greenhouse gas emissions, and energy use. The dataset is licensed under CC-BY-4.0 and was last updated on 2026-04-28. It is part of a broader collection of indicators relevant to climate change across sectors like environment, agriculture, and health.
A physics-informed machine learning parameterization for predicting direct and diffuse albedo across visible and near-infrared bands. The framework uses 19 years (2003–2021) of MODIS BRDF data and ten biogeophysical predictors, developed by Akarsh Ralhan. It includes models, Python code, and static input files for integration into Earth system models.
World Bank Group data on climate systems, impacts, resilience, and emissions for the Kyrgyz Republic. The dataset covers indicators relevant to climate change, agriculture, water, energy, and health. It was last updated on 2026-04-28 and is available in CSV format under a CC-BY-4.0 license.