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Marine Institute ERDDAP Server
Serving data from the Marine Institute (Ireland) |
Brought to you by the Marine Institute(Ireland) |
Dataset Title: | DC Flux - Diel CO2 Flux data from inland waters, 2016-2018
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Institution: | Marine Institute (Dataset ID: dc_flux) |
Information: | Summary ![]() ![]() ![]() |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data
(Metadata)
(Refine the data subset and/or download the data)
Lake | Country |
---|---|
Not applicable | Not applicable |
Beaverdam Reservoir | USA |
Cadagno | Switzerland |
Carioca | Brazil |
Constance | Germany |
Engure | Latvia |
Erken | Sweden |
Falling Creek Reservoir | USA |
Feeagh | Ireland |
Harp | Canada |
Kaamanen | Finland |
Langjtern | Norway |
Ljusvattentjärn | Sweden |
Mendota | USA |
Mendota shore | USA |
Onego | Russia |
Pallasjärvi North | Finland |
Pallasjärvi South | Finland |
Parsen | Sweden |
Rappbode Reservoir | Germany |
Sau Reservoir | Spain |
Stortjörn | Sweden |
Venasjön | Sweden |
Võrtsjärv | Estonia |
In total, there are 23 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data
(Metadata)
(Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.