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ERDDAP > tabledap > Subset ?

Dataset Title:  OMDS-ADCP data | SGDO-Données ADCP Subscribe RSS
Institution:  Fisheries and Oceans Canada   (Dataset ID: mpoSgdoADCP)
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: 124)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    station ?  =  35 options
    chief_scientist ?  =  17 options
    cruise_number ?  =  69 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)  

station chief_scientist cruise_number
 
David Lablanc 2021044
David Leblanc 2021044
Geneviève Perrin 2021014
Jacqueline Dumas LTTMP2020
Jacqueline Dumas LTTMP2021
Jacqueline Dumas LTTMP2022
Marjolaine Blais 2022054
Michel Rousseau 2020027
Michel Rousseau 2021099
Michel Rousseau 2022053
Michel Rousseau 2022099
Mélanie Boudreau 2023020
Peter Galbraith BOUEE2021
Peter Galbraith BOUEE2022
Peter Galbraith BOUEE2023
Sonia Michaud 2020028
Virginie Roy 2021032
Virginie Roy 2022036
BA Peter Galbraith BOUEE2018
BA Peter Galbraith BOUEE2019
BA Peter Galbraith BOUEE2020
BA Yves Clermont 2016015
BA Yves Clermont 2016050
BaiePlaisance1 Andrea Weise 2013023
BaiePlaisance2 Andrea Weise 2013023
Banc-Beauge Bernard Pettigrew BOUEE2009
Banc-Beauge Bernard Pettigrew BOUEE2010
Banc-Beauge Bernard Pettigrew BOUEE2011
BELLE-ISLE Bernard Pettigrew LTTMP2002
BELLE-ISLE Bernard Pettigrew LTTMP2003
Belle-Isle Bernard Pettigrew LTTMP2008
Belle-Isle Bernard Pettigrew LTTMP2009
Belle-Isle Bernard Pettigrew LTTMP2010
Belle-Isle Bernard Pettigrew LTTMP2012
Belle-Isle Bernard Pettigrew LTTMP2013
Belle-Isle Bernard Pettigrew LTTMP2014
Belle-Isle Bernard Pettigrew LTTMP2015
Belle-Isle Peter Galbraith LTTMP2016
Belle-Isle Peter Galbraith LTTMP2017
Belle-Isle Peter Galbraith LTTMP2018
Belle-Isle Peter Galbraith LTTMP2019
BELLE-ISLE-B Bernard Pettigrew LTTMP2007
BELLE-ISLE-B Bernard Pettigrew LTTMP2011
COURANTDEGASPE Peter Galbraith BOUEE2017
COURANTDEGASPE Peter Galbraith BOUEE2020
CourantdeGaspe Bernard Pettigrew BOUEE2005
CourantdeGaspe Bernard Pettigrew BOUEE2006
CourantdeGaspe Bernard Pettigrew BOUEE2007
CourantdeGaspe Bernard Pettigrew BOUEE2008
CourantdeGaspe Bernard Pettigrew BOUEE2010
CourantdeGaspe Bernard Pettigrew BOUEE2011
CourantdeGaspe Bernard Pettigrew BOUEE2012
CourantdeGaspe Bernard Pettigrew BOUEE2013
CourantdeGaspe Bernard Pettigrew BOUEE2014
CourantdeGaspe Bernard Pettigrew BOUEE2015
CourantdeGaspe Bernard Pettigrew BOUEE2016
ESG Peter Galbraith BOUEE2017
ESG Peter Galbraith BOUEE2018
ESG Peter Galbraith BOUEE2019
ESG Peter Galbraith BOUEE2020
GyreAnticosti Bernard Pettigrew BOUEE2005
H7 François Saucier 2003035
H9 François Saucier 2003035
HavreAuxMaisons1 Andrea Weise 2016029
HavreAuxMaisons2 Andrea Weise 2016029
HavreAuxMaisons2 Andrea Weise 2017015
HavreAuxMaisons3 Andrea Weise 2016029
HS13B François Saucier 2004025
HS13B Michel Harvey 2006035
HS13C François Saucier 2004025
HS13C Michel Harvey 2005069
HS13C Michel Harvey 2006035
HS13D Michel Harvey 2005069
IR1 François Saucier 1998011
IR2 François Saucier 1998011
M1 François Saucier 2002066
M1 Peter Galbraith 2007099
M1 Peter Galbraith 2008097
M2 Peter Galbraith 2007099
M2 Peter Galbraith 2008097
M3 François Saucier 2002066
M3 Peter Galbraith 2007099
M3 Peter Galbraith 2008097
M3 Peter Galbraith 2009097
M4 Peter Galbraith 2007099
M4 Peter Galbraith 2008097
M5 Peter Galbraith 2007099
M5 Peter Galbraith 2008097
M6 François Saucier 2002066
NS-1 Joël Chassé 2018014
NS-1 Joël Chassé 2019009
OLD-HARRY Peter Galbraith BOUEE2017
OLD-HARRY Peter Galbraith BOUEE2018
OLD-HARRY Peter Galbraith BOUEE2019
OLD-HARRY Peter Galbraith BOUEE2020
OldHarry Bernard Pettigrew BOUEE2014
OldHarry Bernard Pettigrew BOUEE2015
OldHarry Bernard Pettigrew BOUEE2016
OldHarry Denis Gilbert 2013038
OldHarry Denis Gilbert 2014037
OldHarry Denis Gilbert 2015016
OldHarry Denis Gilbert 2015041
RIMOUSKI Peter Galbraith BOUEE2017
RIMOUSKI Peter Galbraith BOUEE2018
RIMOUSKI Peter Galbraith BOUEE2019
RIMOUSKI Peter Galbraith BOUEE2020
Rimouski Bernard Pettigrew BOUEE2002
Rimouski Bernard Pettigrew BOUEE2009
Rimouski Bernard Pettigrew BOUEE2010
Rimouski Bernard Pettigrew BOUEE2011
Rimouski Bernard Pettigrew BOUEE2012
Rimouski Bernard Pettigrew BOUEE2013
Rimouski Bernard Pettigrew BOUEE2014
Rimouski Bernard Pettigrew BOUEE2015
Rimouski Bernard Pettigrew BOUEE2016
Shediac Bernard Pettigrew BOUEE2009
Shediac Bernard Pettigrew BOUEE2010
Shediac Bernard Pettigrew BOUEE2014
Shediac Bernard Pettigrew BOUEE2015
Shediac Bernard Pettigrew BOUEE2016
VAS Peter Galbraith BOUEE2017
VAS Peter Galbraith BOUEE2018
VAS Peter Galbraith BOUEE2019
VAS Peter Galbraith BOUEE2020

In total, there are 124 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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