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
  

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

  Event ID: 5ca71488-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: 569d0eee-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: 600f3d62-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: 4a178190-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: cc3e74d6-c580-11e9-8f49-000c29fb4a96
  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: bf12c91a-c580-11e9-8f49-000c29fb4a96
  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: 5807c3f0-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: 4f62f968-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