![]() |
Metocean: Historical collections
|
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d94i106.nc - 28.62N, 95.49W - 1994-08-03"
![]() ![]() |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94i106) |
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)
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 | 28.18079948425293 | 28.180299758911133 | 5.7480998039245605 | 35.747501373291016 | 22.899900436401367 | 4.698999881744385 | 3.4170000553131104 | 0.7300000190734863 | 0.0 | 1.5130000114440918 | 0.2630000114440918 |
2.5 | 2.5 | 28.181800842285156 | 28.18120002746582 | 5.748199939727783 | 35.747398376464844 | 22.899499893188477 | -0.15399999916553497 | 3.446000099182129 | 0.7300000190734863 | 0.0 | 1.503000020980835 | 0.2639999985694885 |
3.0 | 3.0 | 28.182899475097656 | 28.182199478149414 | 5.748300075531006 | 35.747100830078125 | 22.89900016784668 | -0.12099999934434891 | 3.4649999141693115 | 0.7300000190734863 | 0.0 | 1.503000020980835 | 0.26100000739097595 |
3.5 | 3.5 | 28.183799743652344 | 28.182899475097656 | 5.748499870300293 | 35.74760055541992 | 22.899099349975586 | 1.1369999647140503 | 3.4509999752044678 | 0.7300000190734863 | 0.0 | 1.50600004196167 | 0.2529999911785126 |
4.0 | 4.0 | 28.18589973449707 | 28.184999465942383 | 5.748700141906738 | 35.74720001220703 | 22.898099899291992 | 0.08799999952316284 | 3.4660000801086426 | 0.7300000190734863 | 0.0 | 1.503999948501587 | 0.2590000033378601 |
4.5 | 4.5 | 28.18600082397461 | 28.184999465942383 | 5.748799800872803 | 35.74769973754883 | 22.898500442504883 | -0.10400000214576721 | 3.4800000190734863 | 0.7300000190734863 | 0.0 | 1.5160000324249268 | 0.25 |
5.0 | 5.0 | 28.186800003051758 | 28.18560028076172 | 5.748799800872803 | 35.747398376464844 | 22.898099899291992 | 0.10499999672174454 | 3.496999979019165 | 0.7300000190734863 | 0.0 | 1.524999976158142 | 0.2529999911785126 |
5.5 | 5.5 | 28.18790054321289 | 28.186599731445312 | 5.749000072479248 | 35.747501373291016 | 22.89780044555664 | -0.5759999752044678 | 3.4839999675750732 | 0.7300000190734863 | 0.0 | 1.5160000324249268 | 0.2370000034570694 |
6.0 | 6.0 | 28.187700271606445 | 28.18630027770996 | 5.749000072479248 | 35.747501373291016 | 22.897899627685547 | 4.248000144958496 | 3.4800000190734863 | 0.7300000190734863 | 0.0 | 1.527999997138977 | 0.2549999952316284 |
6.5 | 6.5 | 28.18720054626465 | 28.185699462890625 | 5.749000072479248 | 35.74769973754883 | 22.898300170898438 | 1.0460000038146973 | 3.4609999656677246 | 0.7300000190734863 | 0.0 | 1.5210000276565552 | 0.24199999868869781 |
7.0 | 7.0 | 28.186800003051758 | 28.185100555419922 | 5.748899936676025 | 35.74760055541992 | 22.898399353027344 | 0.017999999225139618 | 3.4719998836517334 | 0.7300000190734863 | 0.0 | 1.5149999856948853 | 0.25999999046325684 |
7.599999904632568 | 7.5 | 28.187400817871094 | 28.18560028076172 | 5.749000072479248 | 35.747501373291016 | 22.8981990814209 | -0.10199999809265137 | 3.486999988555908 | 0.7300000190734863 | 0.0 | 1.5140000581741333 | 0.2549999952316284 |
8.100000381469727 | 8.0 | 28.187700271606445 | 28.185800552368164 | 5.749100208282471 | 35.747501373291016 | 22.898099899291992 | 0.3330000042915344 | 3.48799991607666 | 0.7300000190734863 | 0.0 | 1.5240000486373901 | 0.26499998569488525 |
8.600000381469727 | 8.5 | 28.18779945373535 | 28.185800552368164 | 5.749100208282471 | 35.747501373291016 | 22.898099899291992 | 0.12300000339746475 | 3.484999895095825 | 0.7300000190734863 | 0.0 | 1.5470000505447388 | 0.23399999737739563 |
9.100000381469727 | 9.0 | 28.188199996948242 | 28.18600082397461 | 5.749199867248535 | 35.747501373291016 | 22.898000717163086 | 5.501999855041504 | 3.4790000915527344 | 0.7300000190734863 | 0.0 | 1.5460000038146973 | 0.23800000548362732 |
9.600000381469727 | 9.5 | 28.188400268554688 | 28.186100006103516 | 5.749199867248535 | 35.74729919433594 | 22.89780044555664 | -0.3569999933242798 | 3.447000026702881 | 0.7300000190734863 | 0.0 | 1.5390000343322754 | 0.23999999463558197 |
10.100000381469727 | 10.0 | 28.18779945373535 | 28.185400009155273 | 5.749199867248535 | 35.747501373291016 | 22.898300170898438 | 1.8619999885559082 | 3.4140000343322754 | 0.7300000190734863 | 0.0 | 1.5429999828338623 | 0.25600001215934753 |
10.600000381469727 | 10.5 | 28.187599182128906 | 28.185100555419922 | 5.749199867248535 | 35.747501373291016 | 22.898300170898438 | 0.02199999988079071 | 3.4000000953674316 | 0.7300000190734863 | 0.0 | 1.5390000343322754 | 0.28299999237060547 |
11.100000381469727 | 11.0 | 28.18720054626465 | 28.184600830078125 | 5.749199867248535 | 35.747798919677734 | 22.898700714111328 | 0.8410000205039978 | 3.4019999504089355 | 0.7300000190734863 | 0.0 | 1.5290000438690186 | 0.2619999945163727 |
11.600000381469727 | 11.5 | 28.1875 | 28.184799194335938 | 5.749199867248535 | 35.74760055541992 | 22.898500442504883 | -0.3370000123977661 | 3.4079999923706055 | 0.7300000190734863 | 0.0 | 1.5379999876022339 | 0.2549999952316284 |
12.100000381469727 | 12.0 | 28.187000274658203 | 28.184200286865234 | 5.749100208282471 | 35.74729919433594 | 22.898500442504883 | 0.029999999329447746 | 3.3519999980926514 | 0.7300000190734863 | 0.0 | 1.531999945640564 | 0.2630000114440918 |
12.600000381469727 | 12.5 | 28.186800003051758 | 28.183799743652344 | 5.749199867248535 | 35.74769973754883 | 22.89889907836914 | -0.40799999237060547 | 3.3329999446868896 | 0.7300000190734863 | 0.0 | 1.5290000438690186 | 0.2590000033378601 |
13.100000381469727 | 13.0 | 28.186899185180664 | 28.183799743652344 | 5.749199867248535 | 35.747398376464844 | 22.898700714111328 | 1.2070000171661377 | 3.384000062942505 | 0.7300000190734863 | 0.0 | 1.527999997138977 | 0.27799999713897705 |
13.600000381469727 | 13.5 | 28.186599731445312 | 28.183399200439453 | 5.749199867248535 | 35.747798919677734 | 22.899200439453125 | 1.781000018119812 | 3.3959999084472656 | 0.7300000190734863 | 0.0 | 1.5640000104904175 | 0.27799999713897705 |
14.100000381469727 | 14.0 | 28.186800003051758 | 28.183500289916992 | 5.749300003051758 | 35.74769973754883 | 22.89900016784668 | 0.5879999995231628 | 3.4049999713897705 | 0.7300000190734863 | 0.0 | 1.5640000104904175 | 0.27000001072883606 |
14.600000381469727 | 14.5 | 28.187000274658203 | 28.1835994720459 | 5.749300003051758 | 35.74769973754883 | 22.89900016784668 | -0.2770000100135803 | 3.3420000076293945 | 0.7300000190734863 | 0.0 | 1.5709999799728394 | 0.26600000262260437 |
15.100000381469727 | 15.0 | 28.186800003051758 | 28.18320083618164 | 5.749300003051758 | 35.74769973754883 | 22.899099349975586 | -0.15600000321865082 | 3.2829999923706055 | 0.7300000190734863 | 0.0 | 1.5820000171661377 | 0.27300000190734863 |
In total, there are 27 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.