Sun, Y, Chen, S, Chen, S, Qiu, C, Liu, L, Oh, Y, Malone, SL, McNicol, G, Zhuang, Q, Smith, C, Xie, Y, and Jia, X. X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. Retrieved from https://par.nsf.gov/biblio/10683915.

Sun, Y, Chen, S, Chen, S, Qiu, C, Liu, L, Oh, Y, Malone, SL, McNicol, G, Zhuang, Q, Smith, C, Xie, Y, & Jia, X. X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. Retrieved from https://par.nsf.gov/biblio/10683915.

Sun, Y, Chen, S, Chen, S, Qiu, C, Liu, L, Oh, Y, Malone, SL, McNicol, G, Zhuang, Q, Smith, C, Xie, Y, and Jia, X. "X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI". Country unknown/Code not available: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. https://par.nsf.gov/biblio/10683915.

@article{osti_10683915,
place = {Country unknown/Code not available}, title = {X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI}, url = {https://par.nsf.gov/biblio/10683915}, abstractNote = {}, journal = {}, publisher = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, author = {Sun, Y and Chen, S and Chen, S and Qiu, C and Liu, L and Oh, Y and Malone, SL and McNicol, G and Zhuang, Q and Smith, C and Xie, Y and Jia, X}, }