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ERDDAP > tabledap > Subset ?

Dataset Title:  PIFSC CTD Data Subscribe RSS
Institution:  NOAA NMFS PIFSC   (Dataset ID: CTD_PIFSC)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 40)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    CRUISE_NAME ?  =  34 options
    CRUISE_YEAR ?  =  12 options
    VESSEL_NAME ?  =  3 options
    REGION_NAME_DELIM ?  =  3 options
    LEG_NAME ?  =  40 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)  

CRUISE_NAME CRUISE_YEAR VESSEL_NAME REGION_NAME_DELIM LEG_NAME
 
HA1007 2010 Hi'ialakai HA1007
HA1008 2010 Hi'ialakai HA1008
HA1201 2012 Hi'ialakai American Samoa, Pacific Remote Island Areas HA1201_LEG_I
HA1201 2012 Hi'ialakai American Samoa, Pacific Remote Island Areas HA1201_LEG_II&III
HA1201 2012 Hi'ialakai American Samoa, Pacific Remote Island Areas HA1201_LEG_IV
HI0401 2004 Hi'ialakai HI0401
HI0604 2006 Hi'ialakai HI0604
HI0609 2006 Hi'ialakai HI0609
HI0610 2006 Hi'ialakai HI0610
HI0701 2007 Hi'ialakai HI0701
HI1001 2010 Hi'ialakai American Samoa, Pacific Remote Island Areas HI1001_LEGI
HI1001 2010 Hi'ialakai American Samoa, Pacific Remote Island Areas HI1001_LEGII
HI1001 2010 Hi'ialakai American Samoa, Pacific Remote Island Areas HI1001_LEGIII
HI1101 2011 Hi'ialakai Commonwealth of the Northern Mariana Islands, Pacific Remote Island Areas HA1101_LEG_I
HI1101 2011 Hi'ialakai Commonwealth of the Northern Mariana Islands, Pacific Remote Island Areas HA1101_LEG_II
HI1101 2011 Hi'ialakai Commonwealth of the Northern Mariana Islands, Pacific Remote Island Areas HA1101_LEG_III
OES0306 2003 Oscar Elton Sette OES0306
OES0407 2004 Oscar Elton Sette OES0407
OES0410 2004 Oscar Elton Sette OES0410
OES0411 2004 Oscar Elton Sette OES0411_LEGI
OES0506 2005 Oscar Elton Sette OES0506
OES0509 2005 Oscar Elton Sette OES0509
OES0604 2006 Oscar Elton Sette OES0604
OES0606 2006 Oscar Elton Sette OES0606
OES0607 2006 Oscar Elton Sette OES0607
OES0608 2006 Oscar Elton Sette OES0608
OES0706 2007 Oscar Elton Sette OES0706
TC0005 2000 Townsend Cromwell TC0005
TC0009 2000 Townsend Cromwell TC0009
TC0011 2000 Townsend Cromwell TC0011
TC0012 2000 Townsend Cromwell TC0012
TC0108 2001 Townsend Cromwell TC0108
TC0109 2001 Townsend Cromwell TC0109_LEGII
TC0110 2001 Townsend Cromwell TC0110
TC0111 2001 Townsend Cromwell TC0111
TC0201 2002 Townsend Cromwell TC0201_LEGII
TC0207 2002 Townsend Cromwell TC0207
TC9906 1999 Townsend Cromwell TC9906
TC9908 1999 Townsend Cromwell TC9908
TC9910 1999 Townsend Cromwell TC9910

In total, there are 40 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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