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eMOLT Data ERDDAP
Aggregated by GOMLF |
Dataset Title: | eMOLT Data with flags and QC/QA
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Institution: | Environmental Monitors on Lobster Traps and Large Trawlers (Dataset ID: eMOLT_RT_QAQC) |
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)
segment_type | sensor_type | model |
---|---|---|
Fishing | LOWELL | |
Fishing | LOWELL | TDO |
Fishing | LOWELL | TDO-1 |
Fishing | MOANA | |
Fishing | MOANA | TD-10 |
Fishing | MOANA | TD-1000 |
Fishing | MOANA | TD-20 |
Fishing | MOANA | TD-200 |
Profiling Down | LOWELL | TDO |
Profiling Down | LOWELL | TDO-1 |
Profiling Down | MOANA | |
Profiling Down | MOANA | TD-10 |
Profiling Down | MOANA | TD-1000 |
Profiling Down | MOANA | TD-20 |
Profiling Down | MOANA | TD-200 |
Profiling Up | LOWELL | TDO |
Profiling Up | LOWELL | TDO-1 |
Profiling Up | MOANA | |
Profiling Up | MOANA | TD-10 |
Profiling Up | MOANA | TD-1000 |
Profiling Up | MOANA | TD-20 |
Profiling Up | MOANA | TD-200 |
In total, there are 22 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.