Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n3l07s00.nc - 29.75N, 85.41W - 1998-00-02" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n3l07s00) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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)
pressure | depth | temperature | potentialTemperature | conductivity | salinity | sigmat | descentRate | transmission | par | parv | fluorescence | backscattering |
---|---|---|---|---|---|---|---|---|---|---|---|---|
dBar | m | degree_C | degree_C | Siemens per meter | PSU | kg m-3 | meters per second | percent | umol m-2 s-1 | volts | volts | volts |
3.0 | 3.0 | 28.903900146484375 | 28.903200149536133 | 5.783599853515625 | 35.44670104980469 | 22.431900024414062 | 0.2240000069141388 | 3.878999948501587 | -9.0 | -9.0 | 1.4989999532699585 | 0.3149999976158142 |
3.5 | 3.5 | 28.899099349975586 | 28.8981990814209 | 5.783400058746338 | 35.44860076904297 | 22.434999465942383 | 0.17100000381469727 | 3.805000066757202 | -9.0 | -9.0 | 1.5089999437332153 | 0.335999995470047 |
4.0 | 4.0 | 28.952499389648438 | 28.951499938964844 | 5.7870001792907715 | 35.43370056152344 | 22.4060001373291 | 0.17900000512599945 | 3.8519999980926514 | -9.0 | -9.0 | 1.5199999809265137 | 0.33399999141693115 |
4.5 | 4.5 | 29.028099060058594 | 29.027000427246094 | 5.792500019073486 | 35.41529846191406 | 22.366899490356445 | 0.164000004529953 | 3.8410000801086426 | -9.0 | -9.0 | 1.5110000371932983 | 0.3319999873638153 |
5.0 | 5.0 | 29.028799057006836 | 29.027599334716797 | 5.792699813842773 | 35.41619873046875 | 22.367399215698242 | 0.25600001215934753 | 3.7780001163482666 | -9.0 | -9.0 | 1.562000036239624 | 0.34299999475479126 |
5.5 | 5.5 | 28.496299743652344 | 28.4950008392334 | 5.75540018081665 | 35.55440139770508 | 22.64859962463379 | 0.164000004529953 | 3.742000102996826 | -9.0 | -9.0 | 1.6109999418258667 | 0.335999995470047 |
6.0 | 6.0 | 28.138200759887695 | 28.13680076599121 | 5.72760009765625 | 35.63010025024414 | 22.823699951171875 | 0.17399999499320984 | 3.75 | -9.0 | -9.0 | 1.6139999628067017 | 0.40700000524520874 |
6.5 | 6.5 | 27.833099365234375 | 27.831600189208984 | 5.703100204467773 | 35.688499450683594 | 22.967599868774414 | 0.18700000643730164 | 3.809000015258789 | -9.0 | -9.0 | 1.5980000495910645 | 0.4090000092983246 |
7.0 | 7.0 | 27.75469970703125 | 27.753000259399414 | 5.696199893951416 | 35.69940185546875 | 23.001399993896484 | 0.19099999964237213 | 3.818000078201294 | -9.0 | -9.0 | 1.5959999561309814 | 0.4099999964237213 |
7.599999904632568 | 7.5 | 27.626399993896484 | 27.62459945678711 | 5.6844000816345215 | 35.713600158691406 | 23.053800582885742 | 0.164000004529953 | 3.872999906539917 | -9.0 | -9.0 | 1.6319999694824219 | 0.4009999930858612 |
8.100000381469727 | 8.0 | 27.488500595092773 | 27.486600875854492 | 5.672999858856201 | 35.73740005493164 | 23.116600036621094 | 0.07999999821186066 | 3.871000051498413 | -9.0 | -9.0 | 1.7300000190734863 | 0.3790000081062317 |
In total, there are 11 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.