Journal: Data in Brief
Article Title: Soil temperature and respiration dataset from Mt. Namsan: Long-term projection and its implications under SSP climate scenarios
doi: 10.1016/j.dib.2025.111397
Figure Lengend Snippet: Overview of dataset structure: measured, estimated, and projected soil data The table summarizes the dataset structure, detailing measured data (2009–2010), estimated data (2011–2020), and projected data (2021–2100) under Shared Socioeconomic Pathway (SSP) scenarios. Each category includes descriptions of the data type, time period, and variables provided.
Article Snippet: Data collection , Data were collected using sensors (Testo-925 temperature sensor and Vaisala GMT-222/343 CO2 sensor) at a depth of 5 cm. Monthly averages of soil temperature (°C) and soil respiration (mg CO2 m−2 h−1) were recorded between 2009 and 2010 using automated systems. CO2 concentration was measured using the closed chamber method. Future climate scenario data (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) were sourced from the Korea Meteorological Administration ( http://www.climate.go.kr/ ), and air temperature data were used to predict soil temperature and respiration through regression models..
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