ERDDAP
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Dataset Title: | Glider - mote-genie-20200728T1200 |
Institution: | Texas A&M University, GCOOS-RA (Dataset ID: mote_genie_20200728t1200) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph |
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)
trajectory | wmo_id | profile_id | time | latitude | longitude | lat_uv | lon_uv | time_uv | u | v |
---|---|---|---|---|---|---|---|---|---|---|
UTC | degrees_north | degrees_east | ||||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T14:50:33Z | 26.991527274687332 | -82.77571417624847 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T14:56:21Z | 26.991212482796293 | -82.77655506661668 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T15:02:12Z | 26.99089369847054 | -82.77740662180824 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T15:08:00Z | 26.99057873930353 | -82.77824795901381 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T15:13:43Z | 26.9902680304657 | -82.7790779424934 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T15:19:02Z | 26.98997922402033 | -82.7798494190311 | ||||||
mote-genie-20200728T1200 | 4801944 | 2020-07-28T15:19:20Z | 26.98996261718137 | -82.77989378018312 |
In total, there are 7 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.