Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n9l07s01.nc - 29.69N, 85.48W - 2000-00-02" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n9l07s01) |
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 | 29.374099731445312 | 29.373600006103516 | 5.795400142669678 | 35.18130111694336 | 22.074800491333008 | 0.1379999965429306 | 4.14300012588501 | 262.20001220703125 | 2.00600004196167 | 1.281000018119812 | 0.19900000095367432 |
2.5 | 2.5 | 29.36709976196289 | 29.366500854492188 | 5.79449987411499 | 35.179901123046875 | 22.076099395751953 | 0.19900000095367432 | 4.1539998054504395 | 192.8000030517578 | 1.8930000066757202 | 1.305999994277954 | 0.18299999833106995 |
3.0 | 3.0 | 29.381200790405273 | 29.38050079345703 | 5.796199798583984 | 35.18119812011719 | 22.072399139404297 | 0.1889999955892563 | 4.144999980926514 | 174.1999969482422 | 1.850000023841858 | 1.2799999713897705 | 0.2070000022649765 |
3.5 | 3.5 | 29.386899948120117 | 29.38599967956543 | 5.796899795532227 | 35.18130111694336 | 22.070600509643555 | 0.21899999678134918 | 4.139999866485596 | 154.5 | 1.7979999780654907 | 1.2719999551773071 | 0.20399999618530273 |
4.0 | 4.0 | 29.3887996673584 | 29.387800216674805 | 5.797399997711182 | 35.18320083618164 | 22.071399688720703 | 0.20100000500679016 | 4.139999866485596 | 140.8000030517578 | 1.7580000162124634 | 1.3040000200271606 | 0.1889999955892563 |
4.5 | 4.5 | 29.390899658203125 | 29.389799118041992 | 5.798099994659424 | 35.18629837036133 | 22.07309913635254 | 0.26499998569488525 | 4.140999794006348 | 125.4000015258789 | 1.7070000171661377 | 1.3040000200271606 | 0.16099999845027924 |
5.0 | 5.0 | 29.394899368286133 | 29.393699645996094 | 5.799200057983398 | 35.19049835205078 | 22.074899673461914 | 0.22499999403953552 | 4.144999980926514 | 112.80000305175781 | 1.6610000133514404 | 1.281000018119812 | 0.16699999570846558 |
5.5 | 5.5 | 29.410200119018555 | 29.40880012512207 | 5.8018999099731445 | 35.19810104370117 | 22.07550048828125 | 0.24300000071525574 | 4.140999794006348 | 105.0999984741211 | 1.6299999952316284 | 1.2979999780654907 | 0.1720000058412552 |
6.0 | 6.0 | 29.40880012512207 | 29.40730094909668 | 5.801799774169922 | 35.19839859008789 | 22.076200485229492 | 0.36399999260902405 | 4.127999782562256 | 94.37000274658203 | 1.5839999914169312 | 1.2869999408721924 | 0.19200000166893005 |
6.5 | 6.5 | 29.412900924682617 | 29.411300659179688 | 5.802800178527832 | 35.201698303222656 | 22.077299118041992 | 0.19599999487400055 | 4.138000011444092 | 85.08999633789062 | 1.5390000343322754 | 1.3029999732971191 | 0.210999995470047 |
7.0 | 7.0 | 29.41069984436035 | 29.409000396728516 | 5.802299976348877 | 35.19969940185547 | 22.07659912109375 | 0.2619999945163727 | 4.129000186920166 | 79.23999786376953 | 1.5080000162124634 | 1.2899999618530273 | 0.22200000286102295 |
7.599999904632568 | 7.5 | 29.41390037536621 | 29.412099838256836 | 5.803100109100342 | 35.202701568603516 | 22.077800750732422 | 0.2770000100135803 | 4.14900016784668 | 71.91000366210938 | 1.465999960899353 | 1.2999999523162842 | 0.22499999403953552 |
8.100000381469727 | 8.0 | 29.417800903320312 | 29.415800094604492 | 5.803999900817871 | 35.20610046386719 | 22.079099655151367 | 0.23999999463558197 | 4.136000156402588 | 66.55000305175781 | 1.4320000410079956 | 1.274999976158142 | 0.22699999809265137 |
8.600000381469727 | 8.5 | 29.418100357055664 | 29.416000366210938 | 5.803999900817871 | 35.20589828491211 | 22.078899383544922 | 0.21199999749660492 | 4.135000228881836 | 61.56999969482422 | 1.3980000019073486 | 1.305999994277954 | 0.2160000056028366 |
9.100000381469727 | 9.0 | 29.418399810791016 | 29.416200637817383 | 5.804200172424316 | 35.20640182495117 | 22.079200744628906 | 0.28299999237060547 | 4.13100004196167 | 57.47999954223633 | 1.3680000305175781 | 1.3040000200271606 | 0.21400000154972076 |
9.600000381469727 | 9.5 | 29.41860008239746 | 29.41629981994629 | 5.804200172424316 | 35.20669937133789 | 22.07939910888672 | 0.2639999985694885 | 4.138000011444092 | 53.18000030517578 | 1.3350000381469727 | 1.274999976158142 | 0.21199999749660492 |
10.100000381469727 | 10.0 | 29.418500900268555 | 29.416000366210938 | 5.804299831390381 | 35.20669937133789 | 22.079500198364258 | 0.1940000057220459 | 4.130000114440918 | 49.65999984741211 | 1.3049999475479126 | 1.3370000123977661 | 0.20100000500679016 |
10.600000381469727 | 10.5 | 29.41830062866211 | 29.415700912475586 | 5.804299831390381 | 35.20690155029297 | 22.079700469970703 | 0.29600000381469727 | 4.11899995803833 | 46.529998779296875 | 1.2769999504089355 | 1.3200000524520874 | 0.20499999821186066 |
11.100000381469727 | 11.0 | 29.41790008544922 | 29.415199279785156 | 5.804299831390381 | 35.207401275634766 | 22.080299377441406 | 0.24699999392032623 | 4.124000072479248 | 43.36000061035156 | 1.246000051498413 | 1.3079999685287476 | 0.20600000023841858 |
11.600000381469727 | 11.5 | 29.417699813842773 | 29.414899826049805 | 5.8043999671936035 | 35.20750045776367 | 22.08049964904785 | 0.20100000500679016 | 4.132999897003174 | 40.56999969482422 | 1.2170000076293945 | 1.3040000200271606 | 0.2070000022649765 |
12.100000381469727 | 12.0 | 29.41710090637207 | 29.414100646972656 | 5.8043999671936035 | 35.207801818847656 | 22.08099937438965 | 0.3009999990463257 | 4.126999855041504 | 38.619998931884766 | 1.1959999799728394 | 1.2710000276565552 | 0.2150000035762787 |
12.600000381469727 | 12.5 | 29.41710090637207 | 29.413999557495117 | 5.8043999671936035 | 35.207801818847656 | 22.08099937438965 | 0.2800000011920929 | 4.122000217437744 | 35.65999984741211 | 1.1610000133514404 | 1.2740000486373901 | 0.2669999897480011 |
13.100000381469727 | 13.0 | 29.41710090637207 | 29.41390037536621 | 5.8043999671936035 | 35.207801818847656 | 22.081100463867188 | 0.1850000023841858 | 4.118000030517578 | 33.72999954223633 | 1.1369999647140503 | 1.2999999523162842 | 0.2759999930858612 |
13.600000381469727 | 13.5 | 29.41710090637207 | 29.413799285888672 | 5.8043999671936035 | 35.20790100097656 | 22.081100463867188 | 0.31700000166893005 | 4.11899995803833 | 31.59000015258789 | 1.1089999675750732 | 1.309000015258789 | 0.26600000262260437 |
14.100000381469727 | 14.0 | 29.41710090637207 | 29.413700103759766 | 5.8043999671936035 | 35.20790100097656 | 22.081199645996094 | 0.23499999940395355 | 4.122000217437744 | 29.600000381469727 | 1.0800000429153442 | 1.2790000438690186 | 0.24199999868869781 |
14.600000381469727 | 14.5 | 29.41699981689453 | 29.413400650024414 | 5.804500102996826 | 35.207801818847656 | 22.081199645996094 | 0.22699999809265137 | 4.119999885559082 | 27.8799991607666 | 1.0540000200271606 | 1.2740000486373901 | 0.2160000056028366 |
15.100000381469727 | 15.0 | 29.417499542236328 | 29.413799285888672 | 5.804500102996826 | 35.207801818847656 | 22.08099937438965 | 0.25999999046325684 | 4.125999927520752 | 26.209999084472656 | 1.0269999504089355 | 1.2649999856948853 | 0.23199999332427979 |
15.600000381469727 | 15.5 | 29.41790008544922 | 29.414100646972656 | 5.804599761962891 | 35.207801818847656 | 22.08099937438965 | 0.25099998712539673 | 4.111999988555908 | 24.530000686645508 | 0.9990000128746033 | 1.2640000581741333 | 0.24699999392032623 |
16.100000381469727 | 16.0 | 29.417499542236328 | 29.41360092163086 | 5.804500102996826 | 35.20759963989258 | 22.08099937438965 | 0.23199999332427979 | 4.113999843597412 | 23.100000381469727 | 0.9729999899864197 | 1.2730000019073486 | 0.24500000476837158 |
16.600000381469727 | 16.5 | 29.416400909423828 | 29.41230010986328 | 5.8043999671936035 | 35.20759963989258 | 22.08139991760254 | 0.23199999332427979 | 4.114999771118164 | 21.75 | 0.9470000267028809 | 1.2699999809265137 | 0.2280000001192093 |
17.100000381469727 | 17.0 | 29.413400650024414 | 29.40920066833496 | 5.804200172424316 | 35.20790100097656 | 22.082700729370117 | 0.2919999957084656 | 4.110000133514404 | 20.510000228881836 | 0.9210000038146973 | 1.2419999837875366 | 0.23000000417232513 |
17.600000381469727 | 17.5 | 29.41360092163086 | 29.409299850463867 | 5.804200172424316 | 35.20800018310547 | 22.082700729370117 | 0.22100000083446503 | 4.104000091552734 | 19.260000228881836 | 0.8939999938011169 | 1.2580000162124634 | 0.25200000405311584 |
18.100000381469727 | 18.0 | 29.413999557495117 | 29.40959930419922 | 5.804299831390381 | 35.20790100097656 | 22.082599639892578 | 0.22499999403953552 | 4.109000205993652 | 18.229999542236328 | 0.8700000047683716 | 1.2910000085830688 | 0.2709999978542328 |
18.600000381469727 | 18.5 | 29.4143009185791 | 29.409700393676758 | 5.8043999671936035 | 35.208099365234375 | 22.082599639892578 | 0.2619999945163727 | 4.0980000495910645 | 17.219999313354492 | 0.8450000286102295 | 1.3220000267028809 | 0.29100000858306885 |
19.100000381469727 | 19.0 | 29.412099838256836 | 29.407400131225586 | 5.804100036621094 | 35.20800018310547 | 22.08340072631836 | 0.19099999964237213 | 4.110000133514404 | 16.18000030517578 | 0.8180000185966492 | 1.253999948501587 | 0.3109999895095825 |
In total, there are 35 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.