Hacking Limnology Workshop and DSOS22: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences

Meyer, Michael F.; Barbosa, Carolina C.; Ladwig, Robert; Mesman, Jorrit P.; Börekçi, Nahit Soner; Cawley, Kaelin; Feldbauer, Johannes; Oleksy, Isabella A.; Pilla, Rachel M.; Tran, Patricia Q.; Zwart, Jacob A.; Schnedler‐Meyer, Nicolas Azaña; Andersen, Tobias K.; Brousil, Matthew R.; Fickas, Kate C.; Filazzola, Alessandro; King, Tyler V.; Sánchez‐López, Nuria; Stengel, Victoria; Trolle, Dennis

doi:10.1002/lob.10525

Title: Hacking Limnology Workshop and DSOS22: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences

Journal Article · Thu Oct 20 00:00:00 UTC 2022 · Limnology and Oceanography Bulletin

DOI: https://doi.org/10.1002/lob.10525 · OSTI ID:1897839

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US Geological Survey, Madison, WI (United States)
Univ. of Wyoming, Laramie, WY (United States)
Univ. of Wisconsin, Madison, WI (United States)
Uppsala Univ. (Sweden)
Mersin University (Turkey)
National Ecological Observatory Network, Boulder, CO (United States)
Technische Universität Dresden (Germany)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
US Geological Survey, Pittsburgh, PA (United States)
Technical Univ. of Denmark, Lyngby (Denmark)
Aarhus Univ. (Denmark)
Washington State Univ., Pullman, WA (United States)
US Geological Survey, Sioux Falls, SD (United States)
ApexRMS (Canada)
US Geological Survey, Boise, ID (United States)
Univ. of Idaho, Moscow, ID (United States)
US Geological Survey, Austin, TX (United States)

The 2nd Aquatic Ecosystem Modeling-Junior (AEMON-J) Hacking Limnology Workshop and 3rd Virtual Summit: Incorporating Data Science and Open Science in the Aquatic Sciences (DSOS) took place on 25–29 July 2022. These virtual events were developed to bring together researchers from diverse backgrounds to share developments in data-intensive research in the aquatic sciences and train participants in cutting-edge data analysis methods related to remote sensing, data pipelines, and modeling of aquatic ecosystems.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: European Union (EU); National Science Foundation (NSF); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1897839

Journal Information:: Limnology and Oceanography Bulletin, Journal Name: Limnology and Oceanography Bulletin Journal Issue: 4 Vol. 31; ISSN 1539-607X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

References (6)

Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research Meyer, Michael F.; Zwart, Jacob A. Limnology and Oceanography Bulletin, Vol. 29, Issue 4 https://doi.org/10.1002/lob.10411	journal	November 2020
Virtual Growing Pains: Initial Lessons Learned from Organizing Virtual Workshops, Summits, Conferences, and Networking Events during a Global Pandemic Meyer, Michael F.; Ladwig, Robert; Dugan, Hilary A. Limnology and Oceanography Bulletin, Vol. 30, Issue 1 https://doi.org/10.1002/lob.10431	journal	February 2021
The AEMON‐J “Hacking Limnology” Workshop Series & Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research Meyer, Michael F.; Ladwig, Robert; Mesman, Jorrit P. Limnology and Oceanography Bulletin, Vol. 30, Issue 4 https://doi.org/10.1002/lob.10475	journal	November 2021
Introducing QWET – A QGIS-plugin for application, evaluation and experimentation with the WET model Nielsen, Anders; Schmidt Hu, Fenjuan Rose; Schnedler-Meyer, Nicolas Azaña Environmental Modelling & Software, Vol. 135 https://doi.org/10.1016/j.envsoft.2020.104886	journal	January 2021
Google Earth Engine: Planetary-scale geospatial analysis for everyone Gorelick, Noel; Hancher, Matt; Dixon, Mike Remote Sensing of Environment, Vol. 202 https://doi.org/10.1016/j.rse.2017.06.031	journal	December 2017
The targets R package: a dynamic Make-like function-oriented pipeline toolkit for reproducibility and high-performance computing Landau, William Journal of Open Source Software, Vol. 6, Issue 57 https://doi.org/10.21105/joss.02959	journal	January 2021

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