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Dataset Title:  INSTAC - Collection of colored dissolved organic matter (CDOM) Profiles - IN
SITU MultiPointProfilesObservation
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Institution:  INSTAC   (Dataset ID: PR_CDOM_INSTAC)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 136)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    PLATFORMCODE ?  =  136 options
    SOURCE ?  =  1 option: instac

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)  

PLATFORMCODE SOURCE
 
1801552 instac
1801554 instac
18956 instac
4400999 instac
4800925 instac
4800926 instac
4800937 instac
4800993 instac
4800994 instac
4800996 instac
4801913 instac
4801915 instac
4801918 instac
4801925 instac
4801927 instac
4801934 instac
4801942 instac
4801943 instac
4801946 instac
4801947 instac
4801952 instac
4801954 instac
4801955 instac
4801956 instac
4801957 instac
4801960 instac
4801961 instac
4801963 instac
4801964 instac
4801965 instac
4801966 instac
4801967 instac
4801968 instac
4801970 instac
4801971 instac
4801972 instac
4801975 instac
4801977 instac
4801984 instac
4801985 instac
4801989 instac
4801990 instac
4801994 instac
4802900 instac
4802902 instac
4802944 instac
4802945 instac
4802956 instac
4802959 instac
4802960 instac
4802966 instac
4802971 instac
4802972 instac
4802973 instac
4802981 instac
4802985 instac
4802986 instac
4802989 instac
4802991 instac
4802993 instac
4802995 instac
4802998 instac
4803917 instac
4803918 instac
4803919 instac
4803922 instac
4803927 instac
4803928 instac
4803929 instac
4803937 instac
4803945 instac
4803946 instac
4803947 instac
4803959 instac
4803972 instac
4803974 instac
4803975 instac
58970 instac
61866 instac
6800166 instac
6800455 instac
6800957 instac
6801500 instac
6801501 instac
6801509 instac
6801536 instac
6801537 instac
6801538 instac
6801539 instac
6801549 instac
6801555 instac
6801557 instac
6801579 instac
6801592 instac
6801598 instac
6801604 instac
6801625 instac
6801661 instac
6801665 instac
6801670 instac
6801735 instac
6801738 instac
6801742 instac
68451 instac
68954 instac
7801506 instac
8900994 instac
8900995 instac
8900996 instac
8900997 instac
8900999 instac
8901012 instac
8901014 instac
8901016 instac
8901019 instac
8901020 instac
8901032 instac
8901034 instac
8901042 instac
8901043 instac
8901057 instac
8901068 instac
8901069 instac
8901070 instac
8901079 instac
8901080 instac
8901082 instac
8901087 instac
8901092 instac
8901112 instac
EXGL0001 instac
EXGL0002 instac
EXGL0003 instac
EXGL0005 instac
EXGL0006 instac
EXGL0021 instac

In total, there are 136 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.
 


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.


 
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