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ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | Gulf of Maine Buoy E01, ocean data 001m depth
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Institution: | Physical Oceanography Group, School of Marine Sciences, University of Maine (Dataset ID: E01_ocean_001m_merged) |
Information: | Summary ![]() ![]() ![]() |
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 | instrument_1 | crs |
---|---|---|---|---|---|---|
degrees_north | degrees_east | m | ||||
43.7062 | -69.3645 | 1.0 | E01 | E0105 | -127 | 9.969209968386869E36 |
43.7131 | -69.3555 | 1.0 | E01 | E0108 | -127 | 9.969209968386869E36 |
43.7131 | -69.3554 | 1.0 | E01 | E0118 | -127 | 9.969209968386869E36 |
43.7133 | -69.3553 | 1.0 | E01 | E0114 | -127 | 9.969209968386869E36 |
43.7134 | -69.3568 | 1.0 | E01 | E0109 | -127 | 9.969209968386869E36 |
43.7136 | -69.3564 | 1.0 | E01 | E0125 | -127 | 9.969209968386869E36 |
43.7137 | -69.3562 | 1.0 | E01 | E0124 | -127 | 9.969209968386869E36 |
43.7137 | -69.3556 | 1.0 | E01 | E0123 | -127 | 9.969209968386869E36 |
43.7137 | -69.3549 | 1.0 | E01 | E0120 | -127 | 9.969209968386869E36 |
43.7138 | -69.3559 | 1.0 | E01 | E0122 | -127 | 9.969209968386869E36 |
43.7139 | -69.3572 | 1.0 | E01 | E0110 | -127 | 9.969209968386869E36 |
43.7139 | -69.3564 | 1.0 | E01 | E0121 | -127 | 9.969209968386869E36 |
43.714 | -69.3536 | 1.0 | E01 | E0113 | -127 | 9.969209968386869E36 |
43.7142 | -69.3552 | 1.0 | E01 | E0112 | -127 | 9.969209968386869E36 |
43.7143 | -69.3552 | 1.0 | E01 | E0127 | -127 | 9.969209968386869E36 |
43.7144 | -69.3559 | 1.0 | E01 | E0126 | -127 | 9.969209968386869E36 |
43.7144 | -69.3552 | 1.0 | E01 | E0116 | -127 | 9.969209968386869E36 |
43.7145 | -69.356 | 1.0 | E01 | E0138 | -127 | 9.969209968386869E36 |
43.7145 | -69.3555 | 1.0 | E01 | E0130 | -127 | 9.969209968386869E36 |
43.7146 | -69.3546 | 1.0 | E01 | E0128 | -127 | 9.969209968386869E36 |
43.7147 | -69.3562 | 1.0 | E01 | E0115 | -127 | 9.969209968386869E36 |
43.7147 | -69.3556 | 1.0 | E01 | E0117 | -127 | 9.969209968386869E36 |
43.7147 | -69.355 | 1.0 | E01 | E0137 | -127 | 9.969209968386869E36 |
43.7148 | -69.3578 | 1.0 | E01 | E0106 | -127 | 9.969209968386869E36 |
43.7148 | -69.3578 | 1.0 | E01 | E0107 | -127 | 9.969209968386869E36 |
43.7148 | -69.3578 | 1.0 | E01 | E0111 | -127 | 9.969209968386869E36 |
43.7148 | -69.3578 | 1.0 | E01 | E0119 | -127 | 9.969209968386869E36 |
43.7148 | -69.3578 | 1.0 | E01 | E0131 | -127 | 9.969209968386869E36 |
43.7148 | -69.3559 | 1.0 | E01 | E0141 | -127 | 9.969209968386869E36 |
43.7148 | -69.3547 | 1.0 | E01 | E0129 | -127 | 9.969209968386869E36 |
43.7149 | -69.355 | 1.0 | E01 | E0136 | -127 | 9.969209968386869E36 |
43.715 | -69.356 | 1.0 | E01 | E0143 | -127 | 9.969209968386869E36 |
43.715 | -69.3549 | 1.0 | E01 | E0139 | -127 | 9.969209968386869E36 |
43.715 | -69.3541 | 1.0 | E01 | E0140 | -127 | 9.969209968386869E36 |
43.7155 | -69.3551 | 1.0 | E01 | E0142 | -127 | 9.969209968386869E36 |
43.7156 | -69.3552 | 1.0 | E01 | E0133 | -127 | 9.969209968386869E36 |
43.7157 | -69.3553 | 1.0 | E01 | E0135 | -127 | 9.969209968386869E36 |
43.7158 | -69.3558 | 1.0 | E01 | E0134 | -127 | 9.969209968386869E36 |
43.7158 | -69.3548 | 1.0 | E01 | E0132 | -127 | 9.969209968386869E36 |
In total, there are 39 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.
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.