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  • Person of interest: Anders Goksøyr
  • Nansen Legacy Search
Enter cruise number to show event(s) for that cruise
Sample depth in meters
Enter upper or lower sample depth to search on using the operators.

Station name

  • P3 (NLEG07)
  • P2 (NLEG04)
  • P1 (NLEG01)
  • Betw P1 (NLEG01) and NLEG02
  • P6 (NLEG21/NPAL15)
  • P7 (NLEG25/NPAL16)

Person of interest

  • Show all (570)
  • (-) Anders Goksøyr (570)

Institution

  • University of Bergen
Displaying 1 - 10 of 570

P6 (NLEG21/NPAL15)

  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: 5e5b08b6-c4e6-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b2f9-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-18T21:48:00
    Station: P6 (NLEG21/NPAL15)
    Location: 81° 33' 59" N , 31° 28' 21" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: Bongonet 180 um
    Bottom depth (m): 894.92
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 95
    end_date: 2019-08-25 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus glacialis
    maximumDepthInMeters: 750
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: 4d8b9b54-c4e6-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b2f9-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-18T21:48:00
    Station: P6 (NLEG21/NPAL15)
    Location: 81° 33' 59" N , 31° 28' 21" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: Bongonet 180 um
    Bottom depth (m): 894.92
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 95
    end_date: 2019-08-25 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus glacialis
    maximumDepthInMeters: 750
    minimumDepthInMeters: 0

P7 (NLEG25/NPAL16)

  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: abbc4a9e-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: be0ecab4-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: baa33e50-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: de098ade-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: cc98ec36-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: afc90c6c-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: dfc9eea4-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Event remarks: 3 specimens only
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0
  • Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    Event ID: da3eafec-c4e5-11e9-8f49-000c29fb4a96
    Parent Event ID: ef09b315-b5ec-11e9-acd1-a0481c9e7d26
    Event date: 2019-08-21T03:30:00
    Station: P7 (NLEG25/NPAL16)
    Location: 81° 55' 42" N , 29° 8' 46" E
    Cruise number: 2019706
    Cruise name: 2019 Seasonal Study Q3
    Sampletype: Mesozooplankton ecotoxicology
    Sampling protocol: Not yet in in sampling protocol, check Calanus exposure in updated version 4
    Gear type: MIK-net 1500 um
    Bottom depth (m): 3,301.77
    Person of Interest
    Name: Anders Goksøyr
    Email: anders.goksoyr@uib.no
    Institution: University of Bergen
    Show more metadata

    Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton and fish

    pi_name: Anders Goksøyr

    Abstract

    We will identify responses to pollutants in fish and zooplankton using toxicogenomic tools (transcriptomics, proteomics, metabolomics). Samples (tissue samples such as liver, gill, etc. from fish, or whole animal samples from zooplankton) from ecologically relevant species that have been exposed on board (T2-2.3) will be processed on board and analyzed in the lab at home institutes. Toxicogenomic data will be further processed using bioinformatic and mathematical modeling tools developed in the Digital Life Norway dCod 1.0 project (dcod.no). Data will be used as a basis for ecological risk assessment for different exposure scenarios.


    pi_email: anders.goksoyr@uib.no
    projectID: 2706730
    pi_address: Department of Biological Sciences Environmental Toxicology Bergen
    recordedBy: Nadja Brun and Fekadu Yadetie
    pi_institution: UiB
    Created: 2020-05-06T13:42:41
    Modified: 2021-08-12T08:31:30
    History: 2020-05-06T13:42:41Z: Initial read in of the log files. 2021-08-12T08:31:30Z: Standardising PI email and institutions
    Source document: AeN_2019706_FishLiverAndCalanus_FekaduAndNadja_final.xlsx
    statID: 109
    end_date: 2019-08-24 00:00:00
    fixative: none
    storageTemp: neg 80 C
    scientificName: Calanus hyperboreus
    maximumDepthInMeters: 100
    minimumDepthInMeters: 0

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  • 2019 Seasonal Study Q3

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