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Enabling data‐driven collaborative and reproducible environmental synthesis science.

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Title: Enabling data‐driven collaborative and reproducible environmental synthesis science.
Authors: Brun, Julien1 (AUTHOR) jb160@ucsb.edu, Lyon, Nicholas J.2 (AUTHOR), Chen, Angel2 (AUTHOR), Slette, Ingrid3 (AUTHOR), De La Rosa, Gabriel2 (AUTHOR), Caselle, Jennifer E.4 (AUTHOR), Davis, Frank W.5 (AUTHOR), Downs, Martha R.2 (AUTHOR)
Source: Methods in Ecology & Evolution. Jun2025, Vol. 16 Issue 6, p1061-1074. 14p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 185679366
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Methods+in+Ecology+%26+Evolution%22">Methods in Ecology & Evolution</searchLink>. Jun2025, Vol. 16 Issue 6, p1061-1074. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=185679366
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      – Type: doi
        Value: 10.1111/2041-210X.70036
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      – Code: eng
        Text: English
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      – TitleFull: Enabling data‐driven collaborative and reproducible environmental synthesis science.
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              Text: Jun2025
              Type: published
              Y: 2025
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