Nansen Legacy sample search

Filter paramters

Here you can filter the sample log. Leave a field open if you are not filtering on it.

Station name (hold CTRL to select multiple) Cruise number
Start Latitude (e.g. 82.11) End Latitude (e.g. 83.00)
Start Longitude (e.g 16.00) End Longitude (e.g. 32.00)
Gear type (hold CTRL to select multiple)

Sample type (hold CTRL to select multiple)

Parent event ID

Select approximate area by holding down CTRL key (Meta key on Mac). Red area shows area for returned search.


Columns can be sorted by clicking the column header.

Event Date Station Name Gear Type Sample Type Event ID Parent Event ID
2018-08-09 P1 (NLEG01) WP2 180 um Mesozooplankton metagenomics 316638f2-9b2d-11e8-91c9-005056a2b019
2018-08-09 P1 (NLEG01) WP2 180 um Mesozooplankton metagenomics 36a45e62-9b2f-11e8-91c9-005056a2b019 316638f2-9b2d-11e8-91c9-005056a2b019
2018-08-10 P2 (NLEG04) WP2 180 um Mesozooplankton metagenomics 85642848-9cb0-11e8-91c9-005056a2b019 b9e1d3d7-9cab-11e8-91c9-005056a2b019
2018-08-10 P2 (NLEG04) WP2 180 um Mesozooplankton metagenomics b9e1d3d7-9cab-11e8-91c9-005056a2b019
2018-08-14 P4 (NLEG11) WP2 180 um Mesozooplankton metagenomics 7e3e43ce-9f25-11e8-91c9-005056a2b019
2018-08-14 P4 (NLEG11) WP2 180 um Mesozooplankton metagenomics 78fe579a-9f26-11e8-91c9-005056a2b019 7e3e43ce-9f25-11e8-91c9-005056a2b019
2018-08-18 PICE1 WP2 180 um Mesozooplankton metagenomics 8bab1394-a2f3-11e8-91c9-005056a2b019 e13bf30c-a2b0-11e8-91c9-005056a2b019
2018-08-18 PICE1 WP2 180 um Mesozooplankton metagenomics e13bf30c-a2b0-11e8-91c9-005056a2b019
2019-08-08 P1 Bongonet 180 um Mesozooplankton metagenomics 25b81186-b927-11e9-8f49-000c29fb4a96 7063be81-ba42-11e9-8f49-000c29fb4a96
2019-08-08 P1 Bongonet 64 um Mesozooplankton metagenomics 10a8b08e-b927-11e9-8f49-000c29fb4a96 7063be80-ba42-11e9-8f49-000c29fb4a96
2019-08-08 P1 Bongonet 64 um Mesozooplankton metagenomics 632f8b80-b9da-11e9-8f49-000c29fb4a96 7063be80-ba42-11e9-8f49-000c29fb4a96
2019-08-08 P1 Bongonet 64 um Mesozooplankton metagenomics b4190a92-b9f0-11e9-8f49-000c29fb4a96 7063be80-ba42-11e9-8f49-000c29fb4a96
2019-08-08 P1 Bongonet 64 um Mesozooplankton metagenomics 77af0d56-b9da-11e9-8f49-000c29fb4a96 7063be80-ba42-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 180 um Mesozooplankton metagenomics 05ff0062-bd09-11e9-8f49-000c29fb4a96 20db6caf-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics 3e8d376c-bcd9-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics 18672630-bd09-11e9-8f49-000c29fb4a96 00fe1b17-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics c2e4c3c4-ba07-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics 4ff18fda-bcd9-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-14 P4 Bongonet 180 um Mesozooplankton metagenomics a22c3d16-bdc1-11e9-8f49-000c29fb4a96 ef09b29f-b5ec-11e9-acd1-a0481c9e7d26
2019-08-14 P4 Bongonet 64 um Mesozooplankton metagenomics 6702edec-be9e-11e9-8f49-000c29fb4a96 ef09b2a1-b5ec-11e9-acd1-a0481c9e7d26
2019-08-14 P4 Bongonet 64 um Mesozooplankton metagenomics 6b282bd0-be9e-11e9-8f49-000c29fb4a96 ef09b2a1-b5ec-11e9-acd1-a0481c9e7d26
2019-08-14 P4 Bongonet 64 um Mesozooplankton metagenomics 87abef86-bdc1-11e9-8f49-000c29fb4a96 ef09b2a0-b5ec-11e9-acd1-a0481c9e7d26
2019-08-15 P5 MIK-net 1500 um Mesozooplankton metagenomics a3f414d8-bf66-11e9-8f49-000c29fb4a96 ef09b2d7-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Bongonet 180 um Mesozooplankton metagenomics b29a74fc-bf28-11e9-8f49-000c29fb4a96 ef09b2e0-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Bongonet 64 um Mesozooplankton metagenomics ca76be46-bf28-11e9-8f49-000c29fb4a96 ef09b2e1-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Multinet 180 um Mesozooplankton metagenomics 82486280-bf93-11e9-8f49-000c29fb4a96 ef09b2dd-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Multinet 64 um Mesozooplankton metagenomics d4a730e8-bea2-11e9-8f49-000c29fb4a96 ef09b2df-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Multinet 64 um Mesozooplankton metagenomics d8c512c6-bea2-11e9-8f49-000c29fb4a96 ef09b2df-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Multinet 64 um Mesozooplankton metagenomics cf6919d4-bea2-11e9-8f49-000c29fb4a96 ef09b2df-b5ec-11e9-acd1-a0481c9e7d26
2019-08-18 P6 Bongonet 180 um Mesozooplankton metagenomics 3ccb780c-c20c-11e9-8f49-000c29fb4a96 ef09b2f9-b5ec-11e9-acd1-a0481c9e7d26
2019-08-18 P6 Bongonet 64 um Mesozooplankton metagenomics 4ceeabd2-c20c-11e9-8f49-000c29fb4a96 ef09b2fa-b5ec-11e9-acd1-a0481c9e7d26
2019-08-19 P6 Bongonet 64 um Mesozooplankton metagenomics e99951d4-bea2-11e9-8f49-000c29fb4a96 ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
2019-08-19 P6 Bongonet 64 um Mesozooplankton metagenomics ddf5ae2c-bea2-11e9-8f49-000c29fb4a96 ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
2019-08-19 P6 Bongonet 64 um Mesozooplankton metagenomics e22e698e-bea2-11e9-8f49-000c29fb4a96 ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 180 um Mesozooplankton metagenomics f041c1e8-c27a-11e9-8f49-000c29fb4a96 ef09b31e-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um Mesozooplankton metagenomics ffe4be3e-c27a-11e9-8f49-000c29fb4a96 ef09b31f-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um Mesozooplankton metagenomics f0b88610-bea2-11e9-8f49-000c29fb4a96 ef09b320-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um Mesozooplankton metagenomics f3aa02ea-bea2-11e9-8f49-000c29fb4a96 ef09b320-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um Mesozooplankton metagenomics f68f39c6-bea2-11e9-8f49-000c29fb4a96 ef09b320-b5ec-11e9-acd1-a0481c9e7d26