DOI: 10.1029/2026av002623 ISSN: 2576-604X

Impactful Datasets in Earth, Space, and Environmental Sciences: Highlighting the Data That Transform Research

Joseph Gum, Graziella Caprarelli, Alberto Montanari, Brian Sedora, Shelley Stall, Mathew Biddle, Rachael Blake, Matt Jones, Elizabeth Joyner, Binita KC, Doug Newman, Doug Schuster, Andrea K. Thomer, Bruce Wilson, Lesley Wyborn, Ilse Aben, James Acker, Ebrahim Ahmadisharaf, Weston Anderson, Yosuke Aoki, Christina Arras, Ross Bagwell, Ashley Ballard, Lindsay Barbieri, Sylvain Barbot, Emily Becker, David Berghmans, Justine Blanford, Gil Bohrer, Tobias Braun, Ian Brosnan, Patrick Broxton, Brendan Byrne, Danica Linda Cantarero, Peiyu Cao, Sarah Carter, Rob Casey, Kerry Cawse‐Nicholson, Daniel Cayan, K. Dana Chadwick, Kunal Chakraborty, Ernest Cisneros, Alexandru T. Codilean, James Crawford, Noel Cressie, David Crisp, Alfredo A. Cruz, Elisabetta D'Anastasio, Robert E. Daniell, Fabien Darrouzet, Saswati Das, Kyle Frankel Davis, Ankur R. Desai, Alex de Sherbinin, Catia M. Domingues, Wenhao Dong, Kelsey Druken, Nelia W. Dunbar, Bethany Ehlmann, James S. Eldrett, Shane Elipot, Jing Fang, Nicolas Fernandez, Florence Fetterer, Alison Fritz, Jing Gao, Xueyuan Gao, Sarah Gille, Sven Gilliams, Peter H. Gleick, Christopher R. Hakkenberg, Jonathan B. Hanson, Henry C. Henson, Tracey Holloway, Candice Hopkins, Mark James Hopwood, Faisal Hossain, George J. Huffman, Nicole Jacobs, Daniel Jaffe, Dylan Jones, Apurva P. Joshi, Julie Kalansky, Leander Kallas, Nikita Kaushal, Endalkachew Kebede, Trevor F. Keenan, Gretchen Keppel‐Aleks, Tae Kim, Fraser King, Marthe Klöcking, Wouter Knoben, Mark Koenig, Greg Kopp, Gerbrand Koren, Nicholas Kruskamp, Zachary Labe, Anthony Lanati, Matthias Lankhorst, Joshua Laughner, Oana Leahu‐Aluas, Christine Lee, Laure Lefevre, Kerstin Lehnert, Einat Lev, Yuan Li, Zhong Liu, Avni Malhotra, Scott Marshall, Landon Marston, Ariadna Martin, Nick Marzolf, Paola Mazzoglio, Art Miller, Sanchit Minocha, Arpita Mondal, Jean‐Paul Montagner, Laurent Montesi, Nils Moosdorf, James T. Morris, Md Golam Mostafa, Katelyn Mountjoy, Thiago V. M. do Nascimento, Kiwamu Nishida, Angus Nixon, Ceri Nunn, Martha Cary Eppes, Nasrin Mostafavi Pak, Gerard Gallardo i Peres, Dean Pesnell, Antonio Martínez Picar, Claire Porter, Prithviraj Pramanik, Sara C. Pryor, Marcelo Uriburu Quirno, Federico Rabuffi, Balaji Rajagopalan, Yuhan Rao, A. J. Reiss, Axel D. Renno, Siddharth Rout, Manabendra Saharia, Ricardo Sánchez‐Murillo, Tatsuhiko Sato, Erin Satterthwaite, Anna Savage, Ted A. Scambos, Jacob Schaperow, Nirdesh Kumar Sharma, Christine A. Shields, Debjani Sihi, Elizabeth A. Silber, Terry Sohl, Sarath Suresh, James H. Swift, Zoltan Szantoi, Joao Teixeira, Glen Thackray, Anne Tillery, Mike Timmons, Marie Katrine Traun, Martin Vallée, Sara M. Vallejo‐Bernal, José Manuel Vaquero, Voltaire A. Velazco, Isabel Wargowsky, Dominique Weis, Nina Welti, Thomas Westerhold, John W. Williams, Ann Windnagel, Ryan J. Woosley, Debra Wunch, Jingfeng Xiao, Ben Zaitchik, Enze Zhang, Xiaoyi Zhao, Li Zhen, Lin Zhiheng, Steven C. Bergman, Daniel Minisini

Abstract

The American Geophysical Union (AGU) announces the new living collection “Impactful Datasets in Earth, Space, and Environmental Sciences” which recognizes the creation and curation of datasets enabling research, analysis, and decision making beyond what is captured by traditional academic impact metrics. The collection highlights datasets through the dimensions of People, Planet, and Prosperity, and includes a curated set of nominated datasets and accompanying special collection of data papers. Developed with the Earth Science Information Partners (ESIP) community, the nomination and review process initially invites contributors from across research, operations, and public service, to nominate datasets important to their work, and then submit a data paper that expands upon the nomination text for inclusion in the special collection. This commentary highlights the rationale for the living collection, and the process of nomination. The collection serves as a living reference that strengthens data culture, supports reproducible geoscience, and provides enduring access to critical information for science and society.