BCO-DMO ERDDAP
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Dataset Title: | [In situ pCO2 manipulation experiments 2010-2011] - Rates of primary and bacterial production measured in situ under ambient and elevated pCO2 (750 µ atm) from the Hawaiian Ocean Time Series near Station ALOHA from 2010- 2011. (Oceanic diazotroph community structure and activities in a high carbon dioxide world) |
Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_726341) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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)
PP_num_obs_10um | PP_num_obs_750uatm_pco2_10um | PP_num_obs_2um | PP_num_obs_750uatm_pco2_2um | PP_num_obs_0pt2um | PP_num_obs_750uatm_pco2_0pt2um | leuc_3H_light_num_obs_750uatm_pco2 | leuc_3H_dark_num_obs | leuc_3H_dark_num_obs_750uatm_pco2 |
---|---|---|---|---|---|---|---|---|
unitless | unitless | unitless | unitless | unitless | unitless | unitless | unitless | unitless |
3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
In total, there are 1 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.