Subset

Dataset Title:	ru40-20231018T1419 Real-Time Science Profile
Institution:	Rutgers University (Dataset ID: ru40-20231018T1419-profile-sci-rt)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files \| Make a graph

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Select a subset: (Current number of distinct combinations of matching data: 29)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

profile_id	=	29 options
trajectory	=	1 option: ru40-20231018T1419
source_file	=	7 options

View: Map of All Related Data Distinct Data Counts Distinct Data Related Data Counts Related Data

Map of All Related Data

(Refine the map and/or download the image)

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.

Distinct Data Counts

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

1697639169	ru40-20231018T1419	ru40-2023-290-2-0-sbd(00980000)
1697639259	ru40-20231018T1419	ru40-2023-290-2-0-sbd(00980000)
1697641912	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697642056	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697642395	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697642733	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697643050	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697643363	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697643686	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697644004	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697644300	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697644591	ru40-20231018T1419	ru40-2023-290-3-0-sbd(00990000)
1697646097	ru40-20231018T1419	ru40-2023-290-4-0-sbd(01000000)
1697646224	ru40-20231018T1419	ru40-2023-290-4-0-sbd(01000000)
1697647370	ru40-20231018T1419	ru40-2023-290-4-0-sbd(01000000)
1697648508	ru40-20231018T1419	ru40-2023-290-4-0-sbd(01000000)
1697650448	ru40-20231018T1419	ru40-2023-290-4-2-sbd(01000002)
1697650588	ru40-20231018T1419	ru40-2023-290-4-2-sbd(01000002)
1697651648	ru40-20231018T1419	ru40-2023-290-4-2-sbd(01000002)
1697652704	ru40-20231018T1419	ru40-2023-290-4-2-sbd(01000002)
1697654654	ru40-20231018T1419	ru40-2023-290-4-4-sbd(01000004)
1697654772	ru40-20231018T1419	ru40-2023-290-4-4-sbd(01000004)
1697655894	ru40-20231018T1419	ru40-2023-290-4-4-sbd(01000004)
1697657033	ru40-20231018T1419	ru40-2023-290-4-4-sbd(01000004)
1697659031	ru40-20231018T1419	ru40-2023-290-4-6-sbd(01000006)
1697659179	ru40-20231018T1419	ru40-2023-290-4-6-sbd(01000006)
1697660332	ru40-20231018T1419	ru40-2023-290-4-6-sbd(01000006)
1697661482	ru40-20231018T1419	ru40-2023-290-4-6-sbd(01000006)
1697725195	ru40-20231018T1419	ru40-2023-291-0-12-sbd(01010012)

In total, there are 29 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.

Related Data Counts

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.

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.