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Dataset Title:  Maritimes Region Historical RAPID Climate Change Program Moored Time Series
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Institution:  DFO BIO   (Dataset ID: bio_rapid_moored_ctd)
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: 10)
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 ?  =  1 option: mooring deployment
    cruise_number ?  =  5 options
    chief_scientist ?  =  2 options
    serial_number ?  =  9 options
    station ?  =  10 options
    deployment_platform_name ?  =  2 options
    inst_type ?  =  2 options
    instrument ?  =  9 options
    instrument_model ?  =  3 options
    mooring_number ?  =  10 options
    program ?  =  1 option: Rapid Climate Change Program (RAPID)
    sdn_instrument_id ?  =  1 option: SDN:L22::TOOL1456
    filename ?  =  10 options
    project ?  =  1 option: Rapid Climate Change Program (RAPID)

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_number chief_scientist serial_number station deployment_platform_name inst_type instrument instrument_model mooring_number program sdn_instrument_id filename project
 
mooring deployment HUD2004055 John Loder 1918 1547.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 1918 'SBE37-SM' 1547 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2004055_1547_1918_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2005055 John Loder 3309 1586.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 3309 'SBE37-SM' 1586 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2005055_1586_3309_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2005055 John Loder 3510 1585.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 3510 'SBE37-SM' 1585 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2005055_1585_3510_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2006052 John Loder 1785 1624.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 1785 'SBE37-SM' 1624 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2006052_1624_1785_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2006052 John Loder 2436 1623.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 2436 'SBE37-SM' 1623 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2006052_1623_2436_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2007045 John Loder 1918 1667.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 1918 'SBE37-SM' 1667 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2007045_1667_1918_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2007045 John Loder 2415 1666.0 CCGS HUDSON, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ Microcat Microcat,model number 'SBE37-SM',serial number 2415 'SBE37-SM' 1666 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2007045_1666_2415_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2009048 Peter Smith 1711 1749.0 CCGS Hudson, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ MicroCat MicroCat,model number SBE 37-SM V2.5,serial number 1711 SBE 37-SM V2.5 1749 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2009048_1749_1711_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2009048 Peter Smith 1830 1748.0 CCGS Hudson, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ MicroCat MicroCat,model number SBE 37-SM V2.6a,serial number 1830 SBE 37-SM V2.6a 1748 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2009048_1748_1830_300.000000.nc Rapid Climate Change Program (RAPID)
mooring deployment HUD2009048 Peter Smith 3557 1750.0 CCGS Hudson, 18HU, http://vocab.nerc.ac.uk/collection/C17/current/18HU/ MicroCat MicroCat,model number SBE 37-SM V2.5,serial number 3557 SBE 37-SM V2.5 1750 Rapid Climate Change Program (RAPID) SDN:L22::TOOL1456 MCTD_HUD2009048_1750_3557_300.000000.nc Rapid Climate Change Program (RAPID)

In total, there are 10 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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