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ERDDAP > tabledap > Subset ?

Dataset Title:  Gulf of Maine Buoy I01, ocean data 020m depth   RSS
Institution:  Physical Oceanography Group, School of Marine Sciences, University of Maine   (Dataset ID: I01_ocean_020m_merged)
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: 54)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    latitude ?  =  degrees_north   16 options
    longitude ?  =  degrees_east   14 options
    depth ?  =  m   1 option: 20.0
    station ?  =  1 option: I01
    deployment ?  =  28 options
    conductivity_qc_agg ?  =  3 options
    conductivity_qc_tests ?  =  5 options
    conductivity_qc ?  =  5 options
    temperature_qc_agg ?  =  3 options
    temperature_qc_tests ?  =  5 options
    temperature_qc ?  =  5 options
    salinity_qc_agg ?  =  3 options
    salinity_qc_tests ?  =  5 options
    salinity_qc ?  =  6 options
    sigma_t_qc_agg ?  =  3 options
    sigma_t_qc_tests ?  =  5 options
    sigma_t_qc ?  =  6 options
    data_source ?  =  1   4 options
    instrument_1 ?  =  1 option: -127
    crs ?  =  1 option: 9.969209968386869E36

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

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct 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)  

latitude longitude depth station deployment conductivity_qc_agg conductivity_qc_tests conductivity_qc temperature_qc_agg temperature_qc_tests temperature_qc salinity_qc_agg salinity_qc_tests salinity_qc sigma_t_qc_agg sigma_t_qc_tests sigma_t_qc data_source instrument_1 crs
degrees_north degrees_east m 1
44.1016 -68.113 20.0 I01 I0135 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 10 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 1 11112222222222 0 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 10 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 4 11142222222222 1 1 11112222222222 0 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1017 -68.1121 20.0 I01 I0134 4 11142222222222 1 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 10 -127 9.969209968386869E36
44.1019 -68.1119 20.0 I01 I0137 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 1 11112222222222 0 1 11112222222222 0 4 11142222222222 1 4 11142222222222 1 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 1 11112222222222 0 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11122222222242 99 1 11112222222222 0 4 11122222222242 99 4 11122222222242 99 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11122222222242 99 4 11122222222242 99 4 11122222222242 99 4 11122222222242 99 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11122222222242 99 4 11122222222242 99 4 11142222222222 1 4 11122222222242 99 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11122222222242 99 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11142222222222 1 1 11112222222222 0 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11142222222222 1 4 11122222222242 99 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 4 11142222222222 1 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1028 -68.1136 20.0 I01 I0139 9 99999999999999 9 99999999999999 9 99999999999999 9 99999999999999 0 -127 9.969209968386869E36
44.1028 -68.1121 20.0 I01 I0133 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1028 -68.1121 20.0 I01 I0133 4 11122222222242 99 4 11122222222242 99 4 11122222222242 99 4 11122222222242 99 30 -127 9.969209968386869E36
44.1028 -68.1121 20.0 I01 I0133 9 99999999999999 9 99999999999999 9 99999999999999 9 99999999999999 0 -127 9.969209968386869E36
44.1032 -68.1129 20.0 I01 I0140 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 10 -127 9.969209968386869E36
44.1032 -68.1129 20.0 I01 I0140 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1051 -68.1093 20.0 I01 I0123 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1051 -68.1092 20.0 I01 I0114 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1052 -68.1093 20.0 I01 I0121 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1053 -68.1093 20.0 I01 I0119 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1053 -68.1086 20.0 I01 I0122 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1054 -68.109 20.0 I01 I0113 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1054 -68.1087 20.0 I01 I0118 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1055 -68.1093 20.0 I01 I0131 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1056 -68.1094 20.0 I01 I0120 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1057 -68.1093 20.0 I01 I0128 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1057 -68.1086 20.0 I01 I0111 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1089 20.0 I01 I0129 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1089 20.0 I01 I0129 9 99999999999999 9 99999999999999 9 99999999999999 9 99999999999999 0 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0109 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0116 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0117 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0124 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0125 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0132 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 10 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0132 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0132 4 11142222222222 1 1 11112222222222 0 4 11122222222224 3 4 11122222222224 3 20 -127 9.969209968386869E36
44.1058 -68.1087 20.0 I01 I0132 9 99999999999999 9 99999999999999 9 99999999999999 9 99999999999999 0 -127 9.969209968386869E36
44.1059 -68.1091 20.0 I01 I0126 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1059 -68.1091 20.0 I01 I0127 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 20 -127 9.969209968386869E36
44.1059 -68.1091 20.0 I01 I0127 4 11122222222224 40 4 11122222222224 40 4 11122222222224 40 4 11122222222224 40 10 -127 9.969209968386869E36
44.1059 -68.1091 20.0 I01 I0127 4 11142222222222 1 4 11142222222222 1 4 11122222222224 3 4 11122222222224 3 10 -127 9.969209968386869E36
44.1059 -68.1091 20.0 I01 I0127 9 99999999999999 9 99999999999999 9 99999999999999 9 99999999999999 0 -127 9.969209968386869E36
44.1061 -68.1094 20.0 I01 I0110 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1062 -68.1095 20.0 I01 I0130 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 1 11112222222222 0 30 -127 9.969209968386869E36
44.1062 -68.1095 20.0 I01 I0130 4 11142222222222 1 4 11142222222222 1 4 11142222222222 1 4 11142222222222 1 30 -127 9.969209968386869E36

In total, there are 54 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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