![]() |
ERDDAP
Easier access to scientific data |
log in
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | Compiled Benthic Invertebrate Surveys
![]() ![]() |
Institution: | Rutgers University (Dataset ID: Benthic_Surveys) |
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)
year | reference | month |
---|---|---|
year | month | |
1966.0 | 8.0 | 2.0 |
1966.0 | 8.0 | 3.0 |
1966.0 | 8.0 | 4.0 |
1966.0 | 8.0 | 5.0 |
1966.0 | 8.0 | 6.0 |
1966.0 | 8.0 | 7.0 |
1966.0 | 8.0 | 8.0 |
1966.0 | 8.0 | 9.0 |
1966.0 | 8.0 | 10.0 |
1966.0 | 8.0 | 11.0 |
1967.0 | 8.0 | 1.0 |
1975.0 | 3.0 | 11.0 |
1976.0 | 1.0 | |
1976.0 | 3.0 | 3.0 |
1976.0 | 5.0 | 4.0 |
1978.0 | 4.0 | |
1994.0 | 2.0 | 6.0 |
1995.0 | 2.0 | 5.0 |
1995.0 | 2.0 | 9.0 |
1996.0 | 2.0 | 5.0 |
1996.0 | 2.0 | 9.0 |
1997.0 | 2.0 | 5.0 |
1997.0 | 2.0 | 9.0 |
1998.0 | 2.0 | 5.0 |
1998.0 | 2.0 | 9.0 |
1999.0 | 2.0 | 5.0 |
2000.0 | 7.0 | 10.0 |
2011.0 | 6.0 | 8.0 |
2013.0 | 9.0 | 9.0 |
In total, there are 29 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.