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Easy Access to PMEL Scientific Data
The Pacific Marine Environmental Laboratory's ERDDAP data server for scientific data distribution to the GTS |
![]() NOAA OAR PMEL |
Dataset Title: | AniBOS movement data
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Institution: | AniBOS (Dataset ID: anibos_movement_data) |
Information: | Summary ![]() ![]() ![]() |
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.
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)
ref | ptt |
---|---|
ct170-596-22 | 236092 |
ct170-649-I2C-22 | 236093 |
ct170-652-22 | 236094 |
ct170-706-22 | 236095 |
ct170-707-22 | 236096 |
ct170-708-22 | 236097 |
ct170-709-22 | 236098 |
ct170-710-22 | 236099 |
ct170-711-22 | 236100 |
ct170-712-22 | 236101 |
ct170-713-22 | 236102 |
ct170-714-22 | 236103 |
ct170-715-22 | 236104 |
ct170-736-22 | 236105 |
ct170-737-22 | 236106 |
ct170-738-22 | 236107 |
ct170-739-22 | 236108 |
ct170-740-22 | 236109 |
ct170-741-22 | 236085 |
ct170-742-22 | 236086 |
ct170-743-22 | 236087 |
ct170-744-22 | 236088 |
ct170-745-22 | 236089 |
ct170-746-22 | 236090 |
ct170-747-22 | 236091 |
In total, there are 25 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.