官方服务：
资源简介：
Data for Ward et al. (2020)
应用场景：
创建时间：
2019-12-19
相关数据集
WetCH4：基于机器学习的北方湿地甲烷通量尺度提升数据集（ 2016—2022 年）
本数据集包含基于三种不同湿地分布图的北方湿地（北纬 45°以北）甲烷（CH₄）排放量、排放不确定性数据及潜在通量强度数据。该数据集是基于数据驱动的尺度提升产品，采用北方涡度相关甲烷通量观测站点数据与随机森林机器学习算法构建而成，提供了2016—2022年分辨率10千米的北方湿地逐日甲...
国家冰川冻土沙漠科学数据中心2026-01-14 更新180
Data for: Inundation depth stimulates plant-mediated CH4 emissions by increasing ecosystem carbon uptake and plant height in an estuarine wetland
Plant-mediated CH4 emission is an important part of the ecosystem CH4 emission from vegetated wetlands. Inundation depth may alter the potential magnitude of CH4 releases by changing CH4 production an
NIAID Data Ecosystem40
ML scripts and data for Buzacott et al. "Drivers and annual totals of methane emissions from Dutch peatlands (2024)"
This repository includes the machine learning (ML) scripts, data, and output for the article "Drivers and annual totals of methane emissions from Dutch peatlands" submitted to Global Change Biology. T
Zenodo2024-11-06 更新20
Development of a global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)
Seasonal and interannual variations in global wetland area is a strong driver of fluctuations in global methane (CH4) emissions. Current maps of global wetland extent vary with wetland definition, cau
NIAID Data Ecosystem50
Input datasets
Wetland methane emissions from Zhang et al. (2017) and global sulfate deposition map from Rubin et al (2023) were shared with permission from the authors. Historical climate data from WorldClim 2.1 is
Figshare2024-11-04 更新40
