A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards

Arctic permafrost is undergoing rapid changes due to climate warming in high latitudes. Retrogressive thaw slumps (RTS) are one of the most abrupt and impactful thermal-denudation events that change Arctic landscapes and accelerate carbon feedbacks. Their spatial distribution remains poorly characte...

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Veröffentlicht in:	Scientific data 2025-01, Vol.12 (1), p.18-11, Article 18
Hauptverfasser:	Yang, Yili, Rodenhizer, Heidi, Rogers, Brendan M., Dean, Jacqueline, Singh, Ridhima, Windholz, Tiffany, Poston, Amanda, Potter, Stefano, Zolkos, Scott, Fiske, Greg, Watts, Jennifer, Huang, Lingcao, Witharana, Chandi, Nitze, Ingmar, Nesterova, Nina, Barth, Sophia, Grosse, Guido, Lantz, Trevor, Runge, Alexandra, Lombardo, Luigi, Nicu, Ionut Cristi, Rubensdotter, Lena, Makopoulou, Eirini, Natali, Susan
Format:	Artikel
Sprache:	eng
Schlagworte:	704/106/125 704/172/4081 Collaboration Data Descriptor Datasets Deep learning Humanities and Social Sciences multidisciplinary Permafrost Science Science (multidisciplinary) Spatial distribution
Online-Zugang:	Volltext
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