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@AIMS-Project

Aquatic Intermittency effects on Microbiomes in Streams

AIMS’ vision is a society that recognizes and values intermittent streams as important for controlling water quality.

AIMS’ mission is to understand stream intermittency and its implications for downstream water quality, which requires untangling the hydrologic, biogeochemical, and microbiome controls at the interface of terrestrial and aquatic ecosystems. We will develop resources and tools to study intermittent streams, provide training and education in data science, mentor scientists from the undergraduate to the early career level, and generate insights for evidence-based policy making and land management.

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  1. timeseries_in_R timeseries_in_R Public

    Working with timeseries data in R

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  2. .github .github Public

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  • timeseries_in_R Public

    Working with timeseries data in R

    AIMS-Project/timeseries_in_R’s past year of commit activity
    R 1 0 0 6 Updated Feb 18, 2025
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