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Dataset Title:  CCHDO GO SHIP bottle data Subscribe RSS
Institution:  CCHDO   (Dataset ID: cchdo_bottle)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 1121)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    expocode ?  =  1121 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

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.
 


Distinct Data Counts ?

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)  

expocode
 
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06AQ19950707
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06AQ19980328
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32OC258_3
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33KB20110227
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33KB20110829
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33KB20120730
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33KB20130910
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33KI129_1
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33KI131_1
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33KI133_1
33KI134_1
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33KI136_1
33KI137_1
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33KI147_1
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33KI150_1
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33KI158_1
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33KI163_1
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33KI190_1
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33KI20100405
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33KI20100607
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33KI20170221
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33KI20171211
33KI301_1
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33KI303_1
33KI304_1
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33KM200403_1
33KM200407_1
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33KM200504_1
33KM200507
33KM200511
33KM20060330
33KM20060706
33KM20061104
33KM300203_1
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33KMGP498_1
33KMGP499_1
33KMGP597_1
33KMGP696_2
33KMGP800_1
33KMGP802_1
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33LG20060321
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33MW19920224
33MW19950922
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33RB20061031
33RBGP602_1
33RBGP604_1
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33RBGP700_1
33RBGP801_1
33RBGP899_1
33RO200501
33RO20070710
33RO20071215
33RO20100308
33RO20110926
33RO20130803
33RO20131223
33RO20150410
33RO20150525
33RO20230306
33RR087_1
33RR149_1
33RR20050106
33RR20050617
33RR20070204
33RR20070322
33RR20080204
33RR20090320
33RR20160208
33RR20160321
33RR20220613
33RR20230629
33RR20230722
33SW20010102
33SW20030418
34AR19970805
35A319930102
35A320010203
35A320010322
35A320030412
35A320080223
35A3CITHER1_2
35A3CITHER3_1
35A3CITHER3_2
35A3ROMANCHE_1
35A3ROMANCHE_2
35COSURTPAC_4
35COSURTPAC_5
35COSURTPAC_6
35LL19910103
35LLETAMBOT1_1
35LLETAMBOT1_2
35LU19890509
35MF19960220
35MF19980121
35MF19980818
35MF19981205
35MF19990104
35MF20000117
35MF20000719
35MF20010103
35MF20020104
35MF20030123
35MF20040103
35MF20050111
35MF20080207
35MF20090103
35MF20091219
35MF20110114
35MF62JADE_1
35MF68SUZIL
35MF71JADE_1
35MFCIVA_1
35TH19990712
35TH20000724
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35TH20040604
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35TH20100608
35TH20180611
41SS19940301
42BJ19930808
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42BR19961121
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45CE20090206
45CE20100209
45CE20110103
45CE20120105
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492SSY9610_1
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49HH915_2
49HH932_1
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49KF9010_1
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49NZ199909_2
49NZ200107_1
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49NZ20030909
49NZ20031106
49NZ20031209
49NZ20050525
49NZ20051031
49NZ20051127
49NZ20060120
49NZ20070724
49NZ20071008
49NZ20071122
49NZ20090410
49NZ20090521
49NZ20111220
49NZ20120113
49NZ20121105
49NZ20121128
49NZ20130106
49NZ20140709
49NZ20170208
49NZ20210713
49RY20120726
49RY9006_1
49RY9006_2
49RY9006_3
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49RY9011_2
49RY9011_3
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49RY9106_1
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49RY9106_3
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49RY9201_1
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49RY9206_3
49RY9210_2
49RY9301_1
49RY9306_1
49RY9306_2
49RY9306_3
49RY9401_1
49RY9407_1
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49RY9511_2
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49SU9107_2
49SU9109_2
49SU9204_1
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49SU9209_2
49SU9302_2
49SU9305_1
49SU9307_1
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49SU9309_3
49SU9402_2
49SU9404_1
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49SU9508_1
49TU9010_3
49TU9010_4
49TU9101_2
49TU9104_1
49TU9107_2
49TU9110_1
49TU9110_3
49TU9204_1
49TU9207_1
49TU9210_1
49TU9210_4
49TU9301_1
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49TU9307_1
49TU9310_1
49TU9310_2
49TU9310_3
49TU9401_1
49TU9404_1
49TU9407_1
49TU9410_1
49TU9410_2
49TU9501_1
49UF20090116
49UF20090422
49UF20090610
49UF20091022
49UF20100108
49UF20100414
49UF20100524
49UF20100615
49UF20100811
49UF20110205
49UF20110617
49UF20120108
49UF20120204
49UF20120429
49UF20120621
49UF20120826
49UF20121024
49UF20121210
49UF20130107
49UF20130203
49UF20130412
49UF20130531
49UF20130627
49UF20171107
49UP20100417
49UP20100514
49UP20101110
49UP20110107
49UP20110307
49UP20110515
49UP20111205
49UP20120111
49UP20120410
49UP20120602
49UP20130109
49UP20130409
49UP20130619_1
49UP20130619_2
49UP20130619_3
49UP20130619_4
49UP20130801
49UP20140411
49UP20140609_1
49UP20140609_2
49UP20140609_3
49UP20140609_4
49UP20140703
49UP20140728
49UP20150604
49UP20150627
49UP20150724_1
49UP20150724_2
49UP20160703
49UP20190612_1
49UP20190612_2
49UP20210719_2
49UP20210827_1
49UP20210920_1
49UP20220727_1
49UP20220824_1
49UP20220929_1
49XK9307_3A
49XK9307_3B
49XK9307_3C
49XK9406_1
49XK9605
49ZS19921203
58A119890214
58AA19940203
58AA19940224
58AA19940826
58AA19950217
58AA19961121
58AA19970225
58AA19980308
58AA19991003
58AA20000923
58AA20010527
58AA20010822
58GS20030922
58GS20060721
58GS20090528
58GS20130717
58GS20160802
58HJ20120807

In total, there are 1121 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 121 rows aren't being shown.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

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.


 
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