We observed a surprisingly strong correlation between CH4uptake and ER, particularly for shrub (R2up to 0.73; Fig.2dand Extended Data Fig.2). The correlation with ER was highest in late summer during low-light periods (lichen,R2 = 0.53–0.54; shrub,R2 = 0.76–0.81; Extended Data...
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(parameters: -ax map_hifi --sam-hit-only) followed by the jgi_summarize_bam_contig_depths script from MetaBat2 v2.1556. Contigs from each metagenome were binned using MetaBat2 with default settings. The completeness and contamination of bins was determined using the lineage_wf workflow of ...
representing the IQR of published data. Hg0at ZEP, VRS and ALT show overall similar positive median δ202Hg of 0.57‰ (IQR 0.45 to 0.75), 0.66‰ (IQR 0.47 to 0.85), 0.54‰ (IQR 0.39 to 0.64
The script is part of the example scripts in the online book. Code availability Each instrument is controlled either by code developed by the institution operating it or by code developed by the manufacturer and therefore often closed source or not even freely available and bundled with the ...
This script prepares the submission file for the competetition portal Run test_upload.py <path_to_config_file.py> <path to pytorch checkpoint file.pth> Data visualization Usage All visualization code in this repository is in the data_visualization directory. The vis_single_scene.ipynb notebook ...
The pixelwise photopic and melanopic luminance calculations were conducted through a script in MATLAB with the sRGB values after the calibration process [65]. The spectral distribution intensity (SDI) of melanopic luminance (cd/m2) and photopic luminance (cd/m2) was presented in diagrams. For the...
Since not all L2A scenes had been processed for Svalbard yet, particularly in 2016, we performed conversions from L1C to L2A using the Sen2Cor python script (Müller-Wilm, 2018). No terrain correction was applied since the DEM required by Sen2Cor was not available for our AOI, but we do...
The CERES85 surface heat flux data were retrieved from the NASA CERES Data Products: https://ceres.larc.nasa.gov/data/. The Python script to compute the Liang-Kleeman rate of information transfer is available on GitHub: https://github.com/Climdyn/Liang_Index_climdyn....
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