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The issue of the aerodynamic noises from wind turbine blades affecting the surrounding residents life begins to attract researcher's attention. Most of the existing researches are based on CFD software or experimental data fitting method to analyze the aerodynamic noises, so it is difficult to adapt the demand to dynamic analysis of the aerodynamic noises from wind speed variation. In this paper, the operation parameters, the inflow wind speed and the receiver location are considered, and a modified model to calculate aerodynamic noises from wind turbine blades which is based on traditional acoustic formulas is established. The program to calculate the aerodynamic noises from the 2 MW wind turbine blades is compiled using a time-domain analysis method based on the Simulink modular in Matlab software. And the pressure time sequence diagrams of the aerodynamic noises from wind turbine blades are drawn. It has provided a theoretical foundation to develop low noise wind turbine blades.

This dataset compiled solar radiation components data measured by horizontal and tilted radiometers and turbulent energy fluxes data from natural secondary forests at the Heilongjiang Maoershan Forest Ecosystem National Observation and Research Station for one consecutive year, including incident and reflected short-wave radiation, long-wave radiation, photosynthetically active radiation, near-infrared radiation, sensible heat flux, latent heat flux, and soil surface heat flux data, stored for 30 min time scale data files. The coverage of radiation data and turbulent energy flux data for the growing season (May 3 to October 10) was 100% and 81.3% respectively.Contents and meanings of the fields in the column labels of the Excel file of this dataset: SR (shortwave radiation) , LR (longwave radiation), Rn (net radiation), PAR (photosynthetically active radiation), NIR (near-infrared radiation), Tc (temperature measured by the built-in temperature sensor of the radiation meter), _dn (incident), _up (reflected), _net (net of incident minus reflected), _hon ( data collected from horizontally mounted radiation meter), _slope (data collected from tilted mounted radiation meter), _corr (corrected), _r (albedo), G_mean (heat flux measured by soil heat flux plate), Ss (soil heat storage above the heat flux plate), G0 (soil heat flux), H (sensible heat flux), LE (latent heat flux). For example, a column labeled SR_dn_slope_corr means that the column is the corrected data of the tilt-mounted radiation meter measuring incident short-wave radiation. This dataset compiled solar radiation components data measured by horizontal and tilted radiometers and turbulent energy fluxes data from natural secondary forests at the Heilongjiang Maoershan Forest Ecosystem National Observation and Research Station for one consecutive year, including incident and reflected short-wave radiation, long-wave radiation, photosynthetically active radiation, near-infrared radiation, sensible heat flux, latent heat flux, and soil surface heat flux data, stored for 30 min time scale data files. The coverage of radiation data and turbulent energy flux data for the growing season (May 3 to October 10) was 100% and 81.3% respectively.Contents and meanings of the fields in the column labels of the Excel file of this dataset: SR (shortwave radiation) , LR (longwave radiation), Rn (net radiation), PAR (photosynthetically active radiation), NIR (near-infrared radiation), Tc (temperature measured by the built-in temperature sensor of the radiation meter), _dn (incident), _up (reflected), _net (net of incident minus reflected), _hon ( data collected from horizontally mounted radiation meter), _slope (data collected from tilted mounted radiation meter), _corr (corrected), _r (albedo), G_mean (heat flux measured by soil heat flux plate), Ss (soil heat storage above the heat flux plate), G0 (soil heat flux), H (sensible heat flux), LE (latent heat flux). For example, a column labeled SR_dn_slope_corr means that the column is the corrected data of the tilt-mounted radiation meter measuring incident short-wave radiation.

Grassland is one of the most widely distributed vegetation types around the world, and play an important role in the global carbon and water cycle. As a common type of land use in Inner Mongolia, mowing has profoundly affected plant growth and ecosystem functioning of grasslands. However, the influences of mowing on the carbon and water cycle processes in grassland ecosystems are still unclear. A lack of long-term and continuous observation flux data is one of the important reasons. According to the flux data processing procedure by ChinaFLUX, we collected the carbon and water fluxes and conventional meteorological data of typical grassland ecosystems in Xilinhot, Inner Mongolia from 2006 to 2015. This dataset provides a high-quality and continuous long-term eddy flux observation valuable for the research of temporal variations and mechanisms of carbon and water fluxes. Meanwhile, it is important for optimizing grassland management practices and evaluating the role of grassland in regional and global carbon and water cycles. Grassland is one of the most widely distributed vegetation types around the world, and play an important role in the global carbon and water cycle. As a common type of land use in Inner Mongolia, mowing has profoundly affected plant growth and ecosystem functioning of grasslands. However, the influences of mowing on the carbon and water cycle processes in grassland ecosystems are still unclear. A lack of long-term and continuous observation flux data is one of the important reasons. According to the flux data processing procedure by ChinaFLUX, we collected the carbon and water fluxes and conventional meteorological data of typical grassland ecosystems in Xilinhot, Inner Mongolia from 2006 to 2015. This dataset provides a high-quality and continuous long-term eddy flux observation valuable for the research of temporal variations and mechanisms of carbon and water fluxes. Meanwhile, it is important for optimizing grassland management practices and evaluating the role of grassland in regional and global carbon and water cycles.

The published studies used for database construction until October 2020. The literature was gathered using databases such as Web of Science, Elsevier, Google Scholar, and the China National Knowledge Infrastructure, with the keywords ‘straw return’ or ‘straw mulching’ or ‘crop residue’ and ‘greenhouse gas’ or ‘soil properties’ or ‘crop yield’. The data were compiled from publications that detailed greenhouse gases emissions and soil properties of concern and compared the effects of various agricultural management practices on these properties with and without straw amendment. All experiments were conducted in the field.  The published studies used for database construction until October 2020. The literature was gathered using databases such as Web of Science, Elsevier, Google Scholar, and the China National Knowledge Infrastructure, with the keywords ‘straw return’ or ‘straw mulching’ or ‘crop residue’ and ‘greenhouse gas’ or ‘soil properties’ or ‘crop yield’. The data were compiled from publications that detailed greenhouse gases emissions and soil properties of concern and compared the effects of various agricultural management practices on these properties with and without straw amendment. All experiments were conducted in the field. 

data about Cloud Detection Algorithm for Greenhouse Gas Retrieval data about Cloud Detection Algorithm for Greenhouse Gas Retrieval