Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d94h032.nc - 28.97N, 90.51W - 1994-04-27" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94h032) |
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 |
2.0 | 2.0 | 23.7406005859375 | 23.74020004272461 | 3.9697999954223633 | 26.02519989013672 | 16.93790054321289 | 0.25600001215934753 | 3.2170000076293945 | 1.559999942779541 | 0.5239999890327454 | 2.8429999351501465 | 0.21699999272823334 |
2.5 | 2.5 | 23.730100631713867 | 23.72960090637207 | 3.9853999614715576 | 26.145200729370117 | 17.0314998626709 | 0.3799999952316284 | 3.2249999046325684 | 1.059999942779541 | 0.35600000619888306 | 2.8299999237060547 | 0.20600000023841858 |
3.0 | 3.0 | 23.726999282836914 | 23.72640037536621 | 3.9763998985290527 | 26.080799102783203 | 16.983800888061523 | 0.5370000004768372 | 3.257999897003174 | 0.9100000262260437 | 0.289000004529953 | 2.8299999237060547 | 0.1899999976158142 |
3.5 | 3.5 | 23.719600677490234 | 23.718900680541992 | 3.9828999042510986 | 26.132299423217773 | 17.024700164794922 | 0.5170000195503235 | 3.2309999465942383 | 0.7799999713897705 | 0.2240000069141388 | 2.763000011444092 | 0.1899999976158142 |
4.0 | 4.0 | 23.73870086669922 | 23.737899780273438 | 3.974299907684326 | 26.058399200439453 | 16.963499069213867 | 0.6949999928474426 | 3.253999948501587 | 0.5099999904632568 | 0.041999999433755875 | 2.9509999752044678 | 0.1940000057220459 |
4.5 | 4.5 | 23.69890022277832 | 23.697999954223633 | 4.0152997970581055 | 26.38089942932129 | 17.218000411987305 | 0.49799999594688416 | 3.061000108718872 | 0.4699999988079071 | 0.0 | 2.8340001106262207 | 0.20800000429153442 |
5.0 | 5.0 | 23.657699584960938 | 23.656700134277344 | 4.084000110626221 | 26.907499313354492 | 17.626800537109375 | 0.7440000176429749 | 2.489000082015991 | 0.4699999988079071 | 0.0 | 2.8259999752044678 | 0.37400001287460327 |
5.5 | 5.5 | 23.616500854492188 | 23.615400314331055 | 4.152599811553955 | 27.436399459838867 | 18.037500381469727 | 0.628000020980835 | 2.61299991607666 | 0.4699999988079071 | 0.0 | 2.703000068664551 | 0.4020000100135803 |
6.0 | 6.0 | 23.52989959716797 | 23.52869987487793 | 4.241099834442139 | 28.14229965209961 | 18.59480094909668 | 0.5210000276565552 | 2.4590001106262207 | 0.4699999988079071 | 0.0 | 2.5179998874664307 | 0.597000002861023 |
6.5 | 6.5 | 23.411500930786133 | 23.410200119018555 | 4.40910005569458 | 29.46660041809082 | 19.62849998474121 | 0.5830000042915344 | 2.197000026702881 | 0.4699999988079071 | 0.0 | 2.3359999656677246 | 0.7110000252723694 |
7.0 | 7.0 | 23.39109992980957 | 23.389699935913086 | 4.429999828338623 | 29.635700225830078 | 19.762100219726562 | 0.3889999985694885 | 1.930999994277954 | 0.4699999988079071 | 0.0 | 2.128000020980835 | 0.675000011920929 |
7.599999904632568 | 7.5 | 23.456300735473633 | 23.45479965209961 | 4.348400115966797 | 28.984899520874023 | 19.25200080871582 | 0.5339999794960022 | 1.8450000286102295 | 0.4699999988079071 | 0.0 | 2.0239999294281006 | 0.5640000104904175 |
8.100000381469727 | 8.0 | 23.488399505615234 | 23.486799240112305 | 4.298299789428711 | 28.591899871826172 | 18.945899963378906 | 0.5120000243186951 | 1.9079999923706055 | 0.4699999988079071 | 0.0 | 2.0869998931884766 | 0.47600001096725464 |
8.600000381469727 | 8.5 | 23.565500259399414 | 23.563800811767578 | 4.198999881744385 | 27.8085994720459 | 18.332700729370117 | 0.3610000014305115 | 2.694000005722046 | 0.4699999988079071 | 0.0 | 2.378000020980835 | 0.32499998807907104 |
9.100000381469727 | 9.0 | 23.554000854492188 | 23.552200317382812 | 4.234799861907959 | 28.07979965209961 | 18.540599822998047 | 0.5289999842643738 | 2.8510000705718994 | 0.4699999988079071 | 0.0 | 2.6419999599456787 | 0.3310000002384186 |
9.600000381469727 | 9.5 | 23.542499542236328 | 23.540599822998047 | 4.270599842071533 | 28.35140037536621 | 18.749099731445312 | 0.4790000021457672 | 2.305000066757202 | 0.4699999988079071 | 0.0 | 2.3519999980926514 | 0.8090000152587891 |
10.100000381469727 | 10.0 | 23.425800323486328 | 23.423799514770508 | 4.459499835968018 | 29.831600189208984 | 19.900299072265625 | 0.5419999957084656 | 1.2489999532699585 | 0.4699999988079071 | 0.0 | 1.656999945640564 | 1.3270000219345093 |
10.600000381469727 | 10.5 | 23.309099197387695 | 23.30699920654297 | 4.648399829864502 | 31.32939910888672 | 21.066200256347656 | 0.3619999885559082 | 1.1089999675750732 | 0.4699999988079071 | 0.0 | 1.6540000438690186 | 1.4639999866485596 |
In total, there are 18 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.