This dataset contains fish haul and specimen information collected during the Arctic Marine Biodiversity Observing Network (AMBON) research cruise in 2017. During the cruise, demersal fishes were collected with a plump-staff beam trawl, identified to species, and their length was measured while onboard. A subset of specimens was frozen or preserved in ethanol for laboratory analyses to contribute to this and other datasets. Juvenile and pelagic fishes were also captured with an Isaac-Kidds midwater trawl. The final dataset consists of 3 comma separated values files (csv), one lookup table as a comma separated values file (csv), and two ISO 19110/19115 metadata records in xml form. The data files are presented in a table structure using Darwin Core OBIS-GBIF form (https://obis.org/manual/dataformat/#emof), using Darwin Core term names as column names and in keeping with that metadata standard (https://dwc.tdwg.org/). They are: AMBON2017_fish_Event_DWC.csv, AMBON2017_fish_MoF_DWC.csv, AMBON2017_fish_Occurrence_DWC.csv. This dataset also contains the file AMBON2017_Fish_data_HaulInfo_lookupTable.csv, describing details of sampling efforts such as stations and date and comments/notes of sampling efforts.

This dataset contains marine mammal observation data conducted during shipboard transects in the Chukchi Sea during the 5 August - 25 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is two comma-separated values (csv) files exported from the marine bird and mammal observation software WinCruz from the entire survey. One data file contains the dates, times, latitude, longitude, species and best-high-low estimates of numbers for cetacean (whales) and pinniped (seals, seal lions, and walrus) sightings. The second data file contains the track of the ship (as geographic coordinates) and the Beaufort sea state at two minute intervals as a measurement of effort. This dataset was transformed from the native format into a table structure using Darwin Core Archive (DwC-A, occurrence core) term names as column names.

This dataset contains marine mammal observation data conducted during shipboard transects in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is three comma-separated values (csv) files exported from the marine bird and mammal observation software WinCruz from the entire survey. Two data files contain the dates, times, latitude, longitude, species and best-high-low estimates of numbers for each cetacean (whales) and pinniped (seals, seal lions, and walrus) sightings. A third data file contains the track of the ship (as geographic coordinates) and the Beaufort sea state at two minute intervals as a measurement of effort. This dataset was transformed from the native format into a table structure using Darwin Core Archive (DwC-A, occurrence core) term names as column names.

This dataset contains zooplankton species biomass and abundance data collected in the Chukchi Sea during the 11 August through 3 September, 2015. Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the vessel Norseman II. This dataset contains three comma separate values (csv) files. The data were collected from zooplankton samples caught with traditional 150µm plankton nets and taxonomically identified. Each data file include the location, date, time, depth, and identification of zooplankton taxa collected during the 2015 AMBON cruise. The data in the file named AMBON2015_Zooplankton_Abundance_150_DC.csv and AMBON2015_505_Zooplankton_Abundance_DWC.csv consists of abundance per taxon of zooplankton. The data in the file named AMBON2015_Zooplankton_Biomass_150_DC.csv and AMBON2015_505_Zooplankton_Biomass_DWC.csv consists of biomass per taxon of zooplankton. These data files are presented in a table structure using Darwin Core term names as column names. This dataset also contains the file AMBON_station_masterlist.csv, describing stations sampled during AMBON cruises.

This dataset contains fish haul and specimen data collected in the Chukchi Sea, U.S. Arctic during the 11 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is one comma separated values (csv) file containing the length, weight, and life stage of the fish collected using a plump-staff beam or Isaac-Kidds midwater trawl. This dataset was used to derive catch per unit effort (CPUE) by weight and species richness (number of taxa per haul) using analyses generated in the R software environment. The data was transformed from the native format into a table structure using Darwin Core term names as column names.

This dataset contains zooplankton species distribution and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is a comma separate values file (csv). The data include the location, date, time, depth, abundance and biomass of zooplankton collected during the 2017 AMBON cruise. Zooplankton were caught with traditional 150µm plankton nets and taxonomically identified. Each data file include the location, date, time, depth, and identification of zooplankton taxa collected during the 2017 AMBON cruise. The data files are presented in a table structure using Darwin Core OBIS-GBIF forms, using Darwin Core term names as column names and in keeping with that metadata standard. They are: AMBON2017_zooplanklton_Event_DWC.csv, AMBON2017_zooplankton_MoF_DWC.csv, AMBON2017_zooplankton_Occurrence_DWC.csv. This dataset also contains the file AMBON_station_masterlist.csv, describing stations sampled during AMBON cruises.

Whale monitoring biological data was collected from Chukchi Sea by Sea World Research Institute, San Diego, CA. The data was collected over three month period spanning from September 20 to November 3, 1989. The data submitted by Ms. Karen M. McClune has been processed by NODC and is available in F127-Marine Animal Sightings file format.

This data set contains vessel- and aircraft-based marine mammal surveys in the Chukchi Sea collected from 1989 to 1991. The aerial marine mammal surveys were conducted by EBASCO to determine the response of walrus to drilling operations in the northern Chukchi Sea at the Crackerjack, Burger and Popcorn prospects between June 29 and October 11, 1990 and at the Crackerjack and Diamond prospects between July 29 and October 8, 1991. The vessel-based marine mammal observations data were collected in the Chukchi Sea in 1989 - 1990. Monitoring efforts were implemented in 1989 by Shell to determine effects of exploratory drilling operations on walrus and polar bears. Results were submitted to regulatory agencies in 1990.

This data set contains vessel- and aircraft-based marine mammal surveys in the Chukchi Sea collected from 1989 to 1991. The aerial marine mammal surveys were conducted by EBASCO to determine the response of walrus to drilling operations in the northern Chukchi Sea at the Crackerjack, Burger and Popcorn prospects between June 29 and October 11, 1990 and at the Crackerjack and Diamond prospects between July 29 and October 8, 1991. The vessel-based marine mammal observations data were collected in the Chukchi Sea in 1989 - 1990. Monitoring efforts were implemented in 1989 by Shell to determine effects of exploratory drilling operations on walrus and polar bears. Results were submitted to regulatory agencies in 1990.

This dataset contains vessel- and aircraft-based mammal sightings data and associated environmental data collected in the Chukchi and Beaufort seas during the open water season 2006-2010. The aerial data are derived from marine mammal observers aboard aircrafts flown at 1000 ft to 1500 ft. The data contains marine mammal sightings data and associated environmental data collected during the open water season 2006-2010 (excluding 2009) in Chukchi Sea and Beaufort Sea. In addition, this metadata describes aerial navigational GPS data recorded during observations. Data collection methods changed slightly between years. The metadata for each attribute should be studied carefully before these data are used for analyses.