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Dataset Title: | INSTAC - Collection of Hourly precipitation rate (liquid water equivalent) (PRRT) TimeSeries - IN SITU MultiPointTimeSeriesObservation - METADATA ![]() ![]() |
Institution: | EMODnet Physics (Dataset ID: TS_PRRT_INSTAC_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 |
---|
12s65e |
13001 |
13002 |
13008 |
13009 |
13010 |
1400048 |
1400049 |
14040 |
14041 |
14043 |
14047 |
14048 |
1500008 |
1500009 |
15001 |
15002 |
15006 |
15007 |
2300019 |
23001 |
23003 |
23004 |
23007 |
23008 |
23009 |
23010 |
23011 |
23012 |
23014 |
23015 |
23016 |
23017 |
28401 |
31001 |
31002 |
31003 |
31004 |
31005 |
31006 |
31007 |
41026 |
41139 |
48400 |
52085 |
52087 |
53005 |
53006 |
53040 |
53056 |
BARBARIA |
CALA-MILLOR |
CNR-ISMAR-Head-office |
ESPORLES |
ESTELLENCS |
GALFI |
MURO |
ooi-gs-gs01sumo_1 |
PARC-BIT |
SON-BOU |
T0N110W |
T0N140W |
T0N165E |
T0N170W |
T0N180W |
T2S155W |
T2S165E |
T8N165E |
T8N180W |
T8S180W |
W1M3A |
In total, there are 71 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.