ERDDAP
Easier access to scientific data |
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Dataset Title: | ru30-20230612T0105 Real-Time Science Profile |
Institution: | Rutgers University (Dataset ID: ru30-20230612T0105-profile-sci-rt) |
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)
profile_id | trajectory | source_file |
---|---|---|
1686532300 | ru30-20230612T0105 | ru30-2023-162-0-0-sbd(05440000) |
1686532832 | ru30-20230612T0105 | ru30-2023-162-0-0-sbd(05440000) |
1686535361 | ru30-20230612T0105 | ru30-2023-162-1-0-sbd(05450000) |
1686536919 | ru30-20230612T0105 | ru30-2023-162-1-0-sbd(05450000) |
1686540145 | ru30-20230612T0105 | ru30-2023-162-1-2-sbd(05450002) |
1686543309 | ru30-20230612T0105 | ru30-2023-162-1-2-sbd(05450002) |
1686547967 | ru30-20230612T0105 | ru30-2023-162-1-4-sbd(05450004) |
1686552756 | ru30-20230612T0105 | ru30-2023-162-1-4-sbd(05450004) |
1686558287 | ru30-20230612T0105 | ru30-2023-162-1-6-sbd(05450006) |
1686563087 | ru30-20230612T0105 | ru30-2023-162-1-6-sbd(05450006) |
1686568491 | ru30-20230612T0105 | ru30-2023-162-1-8-sbd(05450008) |
1686573240 | ru30-20230612T0105 | ru30-2023-162-1-8-sbd(05450008) |
1686578727 | ru30-20230612T0105 | ru30-2023-162-1-10-sbd(05450010) |
1686583305 | ru30-20230612T0105 | ru30-2023-162-1-10-sbd(05450010) |
1686588472 | ru30-20230612T0105 | ru30-2023-162-1-12-sbd(05450012) |
1686593021 | ru30-20230612T0105 | ru30-2023-162-1-12-sbd(05450012) |
1686598217 | ru30-20230612T0105 | ru30-2023-162-1-14-sbd(05450014) |
1686602746 | ru30-20230612T0105 | ru30-2023-162-1-14-sbd(05450014) |
1686607849 | ru30-20230612T0105 | ru30-2023-162-1-16-sbd(05450016) |
1686612398 | ru30-20230612T0105 | ru30-2023-162-1-16-sbd(05450016) |
1686617571 | ru30-20230612T0105 | ru30-2023-162-1-18-sbd(05450018) |
1686622015 | ru30-20230612T0105 | ru30-2023-162-1-18-sbd(05450018) |
1686627067 | ru30-20230612T0105 | ru30-2023-162-1-20-sbd(05450020) |
1686631507 | ru30-20230612T0105 | ru30-2023-162-1-20-sbd(05450020) |
1686636607 | ru30-20230612T0105 | ru30-2023-162-1-22-sbd(05450022) |
1686641143 | ru30-20230612T0105 | ru30-2023-162-1-22-sbd(05450022) |
1686646400 | ru30-20230612T0105 | ru30-2023-162-1-24-sbd(05450024) |
1686650969 | ru30-20230612T0105 | ru30-2023-162-1-24-sbd(05450024) |
1686656092 | ru30-20230612T0105 | ru30-2023-162-1-26-sbd(05450026) |
1686660555 | ru30-20230612T0105 | ru30-2023-162-1-26-sbd(05450026) |
1686665740 | ru30-20230612T0105 | ru30-2023-162-1-28-sbd(05450028) |
1686670214 | ru30-20230612T0105 | ru30-2023-162-1-28-sbd(05450028) |
1686675289 | ru30-20230612T0105 | ru30-2023-162-1-30-sbd(05450030) |
1686679797 | ru30-20230612T0105 | ru30-2023-162-1-30-sbd(05450030) |
1686685056 | ru30-20230612T0105 | ru30-2023-162-1-32-sbd(05450032) |
1686688853 | ru30-20230612T0105 | ru30-2023-162-1-32-sbd(05450032) |
1686692176 | ru30-20230612T0105 | ru30-2023-162-1-34-sbd(05450034) |
1686694237 | ru30-20230612T0105 | ru30-2023-162-1-34-sbd(05450034) |
In total, there are 38 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.