The project quantifies polyphosphate (polyP) in the plankton of the Great Lakes and compiles a coherent large-scale freshwater-to-oceanic comparison and shows that P stress is the key driver of polyP variability across a range of trophic and microbial regimes, while polyP in different groups of microbes has different sensitivity in response to P stress.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 1 of 1 Result
Polyphosphate in the Great Lakes
Mar 1, 2024
Yang, Xingyu; Gao, Rixuan; Huff, Audrey; Katsev, Sergei; Ozersky, Ted; Li, Jiying, 2024, "Polyphosphate in the Great Lakes", https://doi.org/10.14711/dataset/QSK77O, DataSpace@HKUST, V2, UNF:6:/ByaWnMn4/Hta0TJLp2aSQ== [fileUNF]
The dataset includes polyphosphate (polyP) data for particulate samples from 13 locations in the Great Lakes. The dataset also includes other related parameters, including particulate phosphorus (PP), chlorophyll-a (Chl-a), activities of alkaline phosphatase (APase), soluble reac...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.