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
2019-08-07 P1 Bongonet 64 um ef09b27c-b5ec-11e9-acd1-a0481c9e7d26
2019-08-08 P1 Bongonet 64 um Mesozooplankton biomass 388366bc-b927-11e9-8f49-000c29fb4a96 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
2019-08-08 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 7d56ebe4-ba42-11e9-8f49-000c29fb4a96
2019-08-08 P1 Bongonet 64 um 7063be80-ba42-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton biomass 12278d64-bd09-11e9-8f49-000c29fb4a96 00fe1b17-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 3e8d376c-bcd9-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics 4ff18fda-bcd9-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um Mesozooplankton metagenomics c2e4c3c4-ba07-11e9-8f49-000c29fb4a96 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um 00fe1b17-bd6a-11e9-8f49-000c29fb4a96
2019-08-12 P2 Bongonet 64 um 0c747bdc-bd6a-11e9-8f49-000c29fb4a96
2019-08-14 P4 Bongonet 64 um Mesozooplankton biomass 937538f4-bdc1-11e9-8f49-000c29fb4a96 ef09b2a0-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 87abef86-bdc1-11e9-8f49-000c29fb4a96 ef09b2a0-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 ef09b2a1-b5ec-11e9-acd1-a0481c9e7d26
2019-08-14 P4 Bongonet 64 um ef09b2a0-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Bongonet 64 um Mesozooplankton biomass bd30432e-bf28-11e9-8f49-000c29fb4a96 ef09b2e1-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 Bongonet 64 um ef09b2e1-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16 P5 Bongonet 64 um ef09b2e2-b5ec-11e9-acd1-a0481c9e7d26
2019-08-18 P6 Bongonet 64 um Mesozooplankton biomass 4653570a-c20c-11e9-8f49-000c29fb4a96 ef09b2fa-b5ec-11e9-acd1-a0481c9e7d26
2019-08-18 P6 Bongonet 64 um Mesozooplankton metagenomics 4ceeabd2-c20c-11e9-8f49-000c29fb4a96 ef09b2fa-b5ec-11e9-acd1-a0481c9e7d26
2019-08-18 P6 Bongonet 64 um ef09b2fa-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
2019-08-19 P6 Bongonet 64 um Mesozooplankton metagenomics e99951d4-bea2-11e9-8f49-000c29fb4a96 ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
2019-08-19 P6 Bongonet 64 um ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um Mesozooplankton biomass f9496598-c27a-11e9-8f49-000c29fb4a96 ef09b31f-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 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 f68f39c6-bea2-11e9-8f49-000c29fb4a96 ef09b320-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um ef09b31f-b5ec-11e9-acd1-a0481c9e7d26
2019-08-21 P7 Bongonet 64 um ef09b320-b5ec-11e9-acd1-a0481c9e7d26