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EMODnet Physics ERDDAP
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Dataset Title: | EMODnet Physics - Collection of sea temperature from oxygen sensor (TEMP_DOXY) Profiles - MultiPointProfilesObservation - METADATA ![]() ![]() |
Institution: | EMODnet Physics (Dataset ID: PR_TEMP_DOXY_METADATA) |
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)
PLATFORMCODE |
---|
18956 |
2801950 |
4801913 |
4801925 |
4801927 |
4801943 |
4801946 |
4802959 |
4802960 |
4802966 |
4802971 |
4802995 |
4802997 |
4803929 |
4803945 |
4803950 |
4803970 |
4803972 |
4803975 |
58970 |
61866 |
6800166 |
6800455 |
6801500 |
6801501 |
6801526 |
6801554 |
6801555 |
6801556 |
6801633 |
6801636 |
6801637 |
6801638 |
6801639 |
6801640 |
6801665 |
6801666 |
6801690 |
68451 |
68453 |
68457 |
68954 |
68966 |
68967 |
68997 |
7801506 |
8900999 |
8901012 |
8901016 |
8901020 |
8901023 |
8901025 |
8901030 |
8901032 |
8901034 |
8901042 |
8901044 |
8901045 |
EXGL0006 |
In total, there are 59 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.