Marine Institute ERDDAP Server
Serving data from the Marine Institute (Ireland) |
Brought to you by the Marine Institute(Ireland) |
Dataset Title: | Ireland's Marine Institute Research Vessel Underway Partial Pressure of CO2 (pCO2) |
Institution: | Marine Institute (Dataset ID: MI_pCO2_vessel) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | 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)
year | month | cruise | expocode |
---|---|---|---|
Not applicable | Not applicable | Not applicable | Not applicable |
2017 | 5 | CE17008 | 45CE20170525 |
2017 | 6 | CE17008 | 45CE20170525 |
2017 | 6 | CE17009 | 45CE20170606 |
2017 | 7 | CE17011 | 45CE20170704 |
2017 | 7 | CE17012 | 45CE20170722 |
2017 | 8 | CE17012 | 45CE20170722 |
2017 | 8 | CE17013 | 45CE20170812 |
2017 | 9 | CE17014 | 45CE20170922 |
2017 | 10 | CE17014 | 45CE20170922 |
2017 | 10 | CE17015 | 45CE20171015 |
2017 | 10 | CE17016 | 45CE20171004 |
2017 | 11 | CE17015 | 45CE20171015 |
2017 | 11 | CE17017 | 45CE20171106 |
2017 | 12 | CE17017 | 45CE20171106 |
2018 | 2 | CE18001 | 45CE20180210 |
2018 | 2 | CE18004 | 45CE20180220 |
2018 | 3 | CE18004 | 45CE20180220 |
2018 | 3 | CE18005 | 45CE20180320 |
2018 | 4 | CE18005 | 45CE20180320 |
2018 | 4 | CE18006 | 45CE20180410 |
2018 | 5 | CE18008 | 45CE20180515 |
2018 | 6 | CE18008 | 45CE20180515 |
2018 | 6 | CE18009 | 45CE20180609 |
2018 | 7 | CE18010 | 45CE20180703 |
2018 | 7 | CE18011 | 45CE20180728 |
2018 | 8 | CE18011 | 45CE20180728 |
2018 | 8 | CE18012 | 45CE20180811 |
2018 | 9 | CE18015 | 45CE20180917 |
2018 | 10 | CE18015 | 45CE20180917 |
2018 | 10 | CE18016 | 45CE20181008 |
2018 | 10 | CE18017 | 45CE20181029 |
2018 | 11 | CE18017 | 45CE20181029 |
2018 | 11 | CE18018 | 45CE20181109 |
2018 | 12 | CE18018 | 45CE20181109 |
2019 | 3 | CE19005 | 45CE20190326 |
2019 | 4 | CE19005 | 45CE20190326 |
2019 | 4 | CE19006 | 45CE20190416 |
2019 | 4 | CE19007 | 45CE20190428 |
2019 | 5 | CE19007 | 45CE20190428 |
2019 | 5 | CE19008 | 45CE20190513 |
2019 | 5 | CE19009 | 45CE20190524 |
2019 | 6 | CE19009 | 45CE20190524 |
2019 | 7 | CE19010_1 | 45CE20190613 |
2019 | 7 | CE19014 | 45CE20190725 |
2019 | 10 | CE19012 | 45CE20191009 |
2020 | 2 | CE20002 | |
2020 | 2 | CE20004 | 45CE20200223 |
2020 | 3 | CE20004 | 45CE20200223 |
2020 | 3 | CE20007 | 45CE20200325 |
2020 | 4 | CE20001 | |
2020 | 4 | CE20006 | 45CE20200412 |
2020 | 4 | CE20007 | 45CE20200325 |
2020 | 5 | CE20001 | |
2020 | 6 | CE20008_1 | 45CE20200602 |
2020 | 7 | CE20008_1 | 45CE20200602 |
2021 | 3 | CE21003 | 45CE20210305 |
2021 | 3 | CE21004 | |
2021 | 4 | CE21005 | 45CE20210410 |
2021 | 4 | CE21007 | 45CE20210423 |
2021 | 5 | CE21007 | 45CE20210423 |
2021 | 7 | CE21010 | |
2021 | 8 | CE21010 | |
2021 | 8 | CE21016 | |
2021 | 8 | CE21017 | |
2022 | 4 | CE22008 | 45CE20220424 |
2022 | 5 | CE22008 | 45CE20220424 |
2022 | 5 | CE22009 | |
2022 | 6 | CE22009 | |
2022 | 6 | CE22010 | 45CE20220614 |
2022 | 7 | CE22010 | 45CE20220614 |
In total, there are 70 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.