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1. Nutrient data from water samples (surface and depth) collected from the Research Vessel Sikuliaq, Gulf of Alaska to Bering Sea, 2023

   https://doi.org/10.18739/A2T727H9R  

   Ogus, Tia; Arendt, Carli (June 2023, NSF Arctic Data Center)

   This data set includes nutrient measurements of water samples collected at hydrographic stations from the Research Vessel (R/V) Sikuliaq during the Arctic Chief Scientist Training cruise June 6–12, 2023 sponsored by the University National Oceanographic Laboratory System (UNOLS) Arctic Icebreaker Coordinating Committee and the National Science Foundation. SKQ202309T was utilized as a training expedition for early-career Arctic oceanographers, focusing on skills essential for leading research cruises. Training topics centered on logistics, how to request time on ships, how to coordinate personnel and equipment, how to plan for operations and survey tasks at sea, how to work with vessel crew and staff, and how to edit research plans based on field conditions. Participants collected various data sets opportunistically throughout the research training. The cruise transited from Seward to Nome and water samples were collected at six hydrographic stations for nutrients (this data set). Specifically, this data set contains nutrient (total dissolved phosphorus (TDP), total dissolved nitrogen (TDN), phosphate, and nitrate+nitrite) measurements at surface and above seabed water depths. Bottle samples were collected in high-density polyethylene (HDPE) bottles which were rinsed at least three times before filling. The bottles were frozen at -40 Celsius (C). 

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2. Microbial community structure (DNA) and metabolic data (oxygen utilization) from Coastal Alaska during the 2023 Arctic Chief Scientist Training Cruise

   https://doi.org/10.18739/A22N4ZK6Z  

   Chamberlain, Emelia; Tucker, Sarah; Harding, Katie (April 2025, NSF Arctic Data Center)

   These data were extracted from water samples collected from R/V Sikuliaq hydrographic stations during the 2023 University National Oceanographic Laboratory System (UNOLS) and Arctic Icebreaker Coordinating Committee (AICC) sponsored Arctic Chief Scientist Cruise. The primary goal of this program is to provide hands on training for early career researchers to gain skills and confidence in organizing and leading polar scientific research expeditions. The 2023 expedition (SKQ202309T; June 6–12) followed a coastal Alaska cruise track through the Aleutian Islands and across the Bering Sea. This dataset was specifically collected to provide a survey of microbial community composition and metabolic activity for this cruise transect. At eight stations, seawater microbial community composition was measured broadly using amplicon gene sequencing (16S/18S ribosomal ribonucleic acid (rRNA) gene and Synechcoccus internal transcribed spacer (ITS) region) and metagenomic sequencing (data available through the National Center for Biotechnology Information; NCBI BioProject ID PRJNA1240040). At three stations, oxygen utilization assays were additionally used to measure rates of net community production and community respiration (data provided here). 

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3. Discrete O2/Ar (Oxygen/Argon) and oxygen isotope data collected on a research cruise on the vessel Ocean Starr, Bering, Chukchi, and Beaufort Seas, Arctic Ocean, 2019.

   https://doi.org/10.18739/A20R9M539  

   Cynar, Haley; Juranek, Laurie; Mordy, Calvin; Strausz, David; Bell, Shaun (January 2021, NSF Arctic Data Center)

   Data were collected on Cruise identifier (ID) OS1901_L1 between August 1, 2019 and August 24, 2019 from either the surface uncontaminated seawater supply of research vessel (R/V) Ocean Starr or from Niskin-style water sample bottles attached to a conductivity-temperature-depth package maintained by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory. Data were collected periodically over the cruise track which departed from Dutch Harbor, Alaska (AK) and sampled waters of the Bering and Chukchi Sea, ending in Nome, AK. This was a part of the Arctic Integrated Ecosystem Survey (Arctic IES) program. The objective of Arctic IES is to understand how reductions in Arctic sea ice and the associated changes in the physical environment influence the flow of energy through the ecosystems of the Chukchi and Beaufort seas. Two research expeditions in the Beaufort and Chukchi seas during late summer and early fall 2017 and 2019 were designed to address this objective. This survey takes measurements of the: 1) physical environment (temperature, salinity, nutrients); 2) seasonal composition, distribution and production of phytoplankton (plants); 3) distribution and standing stocks of zooplankton (bird, whale, and fish food); 4) assemblages, distributions, abundances, size, diet, and fitness of larval, early juvenile, and adult fishes; and 5) distribution and relative abundances of seabirds and marine mammals. The measurements here contribute to characterizing both the chemical environment and the rate of net biological oxygen production. 

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4. Sediment geochemical data from the Bering Shelf and Yukon Delta, Eastern Bering Sea, June 2023

   https://doi.org/10.18739/A2PG1HQ63  

   Repasch, Marisa (June 2023, NSF Arctic Data Center)

   This dataset contains geochemical and grain size measurements of seabed and suspended sediment samples collected from the Bering Shelf and Yukon prodelta in June 2023. These samples were collected during the 6-12 June 2023 Arctic Chief Scientist Training Cruise, which was a short cruise on the R/V Sikuliaq during its transit from Seward, Alaska to Nome, Alaska. The cruise was sponsored by the University National Oceanographic Laboratory System (UNOLS) Arctic Icebreaker Coordinating Committee and the National Science Foundation. These data were generated as a pilot data set to understand the fate of terrestrial organic carbon in the Yukon River delta and adjacent Bering Sea. Seabed sediment was collected at three locations (MC04, MC06, and MC08) using a multicorer. One seabed sediment sample was collected using a van veen grab sampler. Suspended sediment samples were collected using a hand-deployed niskin bottle and transferred into a clean 10-liter cubitainer for transport and temporary storage. Suspended sediment was filtered on the ship within 24 hours of collection using a Geotech barrel filter with a 0.45 micron Polyethersulfone (PES) membrane filter. Multicores were extruded on deck and subsamples were transferred to sterile whirl-pak sample bags. All sediment samples were frozen and subsequently shipped back to the lab in coolers. Sediment samples were analyzed for grain size, bulk elemental composition via X-ray fluorescence (XRF), and organic carbon and nitrogen concentrations and isotopes via EA-IRMS (elemental analyzer-isotope ratio mass spectrometry). Grain size distributions were measured using a Malvern mastersizer laser diffraction particle size analyzer at the University of Colorado Boulder. Bulk elemental composition was measured on the Rigaku XRF in the Analytical Geochemistry Lab at the University of New Mexico. Total organic carbon (TOC), total nitrogen (TN), and carbon/nitrogen isotopes were measured at the Center for Stable Isotopes at the University of New Mexico. Prior to EA-IRMS analyses, sediment samples were acid-treated to remove inorganic carbon following the method of Galy et al., 2007. References Galy, V., Bouchez, J., & France‐Lanord, C. (2007). Determination of total organic carbon content and δ13C in carbonate‐rich detrital sediments. Geostandards and Geoanalytical research, 31(3), 199-207. 

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5. Supplementary discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2018-2019

   https://doi.org/10.26008/1912/bco-dmo.904722.1  

   Palevsky, Hilary I.; Fogaren, Kristen E.; Nicholson, David P.; Yoder, Meg; Yoder, Meg; Palevsky, Hilary I. (January 2023, Biological and Chemical Oceanography Data Management Office (BCO-DMO))

   This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during yearly Ocean Observatories Initiative (OOI) turn-around cruises to maintain the Irminger Sea Array (60.46°N, 38.44°W). Samples in this dataset were collected as part of an ancillary research project that joined the OOI turn-around cruises in June 2018 and August 2019 as part of ongoing efforts to enable OOI biogeochemical sensor data to be used to address scientific questions about ocean carbon cycling and the biological carbon pump. Discrete sample data collected and analyzed by this research team complement data collected by the OOI program as part of routine turn-around cruise activities. We provide the supplementary measurements made by our team alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection and additional discrete oxygen measurements made by the OOI team. 

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