14:I[71133,["4507","static/chunks/e2799680-446c489506865058.js","7665","static/chunks/7665-81c5407bc4489ff9.js","8500","static/chunks/8500-e4dd1cb1bb626827.js","9753","static/chunks/9753-028c0a26aa71f2d4.js","8437","static/chunks/8437-a09d0b83fcec76af.js","4557","static/chunks/4557-64c5efa221bc528f.js","947","static/chunks/947-410627998426400f.js","5357","static/chunks/5357-6142894e88cb7da2.js","8382","static/chunks/app/dataset/%5Bid%5D/data/view/page-177ea8adea7aed86.js"],"default"] 15:Td73,

The Ocean Observatories Initiative (OOI) is a long-term NSF-funded program that deploys autonomous sensors on both moored and mobile platforms at multiple locations, including the Global Irminger Sea Array (60.46°N, 38.44°W) (Trowbridge et al., 2019). The OOI program conducts yearly turn-around cruises to the Irminger Sea Array to recover and redeploy moorings and gliders deployed year-round at this site. During these cruises the OOI program routinely conducts Conductivity Temperature Depth (CTD) casts and collects water samples from Niskin bottles on the CTD rosette for discrete sample analysis. These turn-around cruise data are critical for validation and calibration of the data from sensors deployed year-round and also provide a valuable dataset in and of themselves (Palevsky et al., 2023).

For this project, our team participated in the 2024 and 2025 turn-around cruises to the OOI Irminger Sea Array (AR84-01, RV Neil Armstrong and RR2505, R/V Roger Revelle). We collected supplementary additional samples for DIC and TA from CTD casts to further support efforts to improve the capacity to produce high-quality data products from OOI’s biogeochemical sensors to enable analysis of scientific questions about the ocean’s biological carbon pump and other carbon cycling processes (Yoder et al., 2024; Palevsky et al., 2023). Sampling was targeted to add full-depth profiles and increase depth resolution beyond the validation samples routinely collected by the OOI program.

Samples were collected for dissolved inorganic carbon (DIC) and total alkalinity (TA) analysis following standard protocols (Dickson et al., 2007). Samples were collected into 250 mL borosilicate glass bottles and preserved with saturated mercuric chloride (100 μL) for later analysis. For further sample and data processing details, please see the Data Processing section of this metadata landing page.

These supplemental data provided here were collected in coordination with data collected by the OOI program. The complete collection of shipboard data and cruise documentation from these cruises is available on the OOI managed document storage, the OOI Raw Data Repository (https://rawdata.oceanobservatories.org/files/cruise_data/Irminger_Sea/). The discrete water sampling data collected by the OOI program at the Irminger Sea Array is also available from BCO-DMO (see Related Datasets). For more information on recommendations for use of cruise data to calibrate OOI biogeochemical sensors, see the OOI Biogeochemical Sensor Data Best Practices and User Guide (Palevsky et al., 2023).

Full cruise data from the OOI Irminger Sea cruises for which discrete sample data are presented here can be accessed via the Rolling Deck to Repository (R2R).

16:T632,

Samples were analyzed at the Boston College Marine Biogeochemistry Laboratory. DIC was analyzed using an Apollo SciTech AS-C6L DIC Analyzer and TA was analyzed using an Apollo SciTech AS-ALK2 TA Analyzer. Both DIC and TA were measured from the same sample bottle. All DIC measurements were made on the day the bottle was opened for analysis, and TA measurements were made within the same week. DIC and TA instruments were calibrated daily and monitored throughout each analysis session by measuring Certified Reference Materials (CRMs) (Andrew Dickson, UCSD).

Analytical replicates were measured for all samples such that after analytical outliers (> 1 standard deviation) were removed, all samples for both DIC and TA retained at least two replicate measurements (median number of replicates for DIC = 3 in both years; median number of replicates for TA = 3 in 2024 and median number of replicates for TA = 4 in 2025). Analytical precision was determined for each sample as the standard deviation of analytical replicates. Mean analytical precision for all DIC samples in this dataset, consistent across samples from both the 2024 and 2025 cruises, is 0.5 µmol/kg. For TA, mean analytical precision is 0.9 µmol/kg for samples from the 2024 cruise and 1.1µmol/kg for samples from the 2025 cruise. Individual samples are flagged as questionable (QC flag = 3) if the analytical precision is >3 µmol/kg. Individual samples for DIC are also flagged as questionable (QC flag = 3) if CRMs run prior and subsequent to the sample in question differ by >6 µmol/kg.

17:T4b1,The Apollo SciTech AS-C5 is a compact, automated analyzer for measuring dissolved inorganic carbon (DIC) in fresh and saltwater. This DIC analyzer uses small sample volumes (0.1 to 1.8 mL) with fast analytical rate (~3 mins), making it ideal for both lab and shipboard use in oceanography and climate studies. The AS-C5 DIC analyzer is comprised of a solid state infrared CO2 detector (LI-850, by LI-COR, USA), a digital syringe pump for precise delivery of reagent and sample solutions (Kloehn, USA), a mass flow controller to accurately regulate the carrier gas flow rate, a specifically designed CO2 stripping reactor that allows for an efficient and smooth stripping of CO2 from the water sample, an electronic cooling system for removing moisture, and a computer communication assembly to understand the marine carbon cycle. The AS-C5 DIC analyzer has a very large analytical range (0.2 – 20 mM) and therefore is ideal for DIC analysis (and has been tested) in a variety of aquatic conditions such as in river and lake waters, coastal and open ocean waters, sediment porewater, and groundwater. The sample’s salt and hydrogen sulfide (H2S) contents have had no effect on DIC analyses. 18:Tcb3,NSF Award Abstract: The ocean absorbs a large fraction of the atmospheric carbon dioxide generated by the burning of fossil fuels. Much of this uptake occurs in high latitude (polar) regions of the ocean. However, current monitoring capabilities in the polar ocean are limited. The Ocean Observatories Initiative (OOI) aims to address this need by providing 25 years of continuous physical and biogeochemical sensor data from autonomous platforms in the high latitude ocean. This CAREER project will improve understanding of the marine carbon cycle in the high latitude ocean using OOI data. The science team will use biogeochemical data collected by the OOI sensors to monitor long term changes in carbon cycling processes. In addition, this CAREER project includes educational activities to broaden participation in oceanographic research. The lead scientist will develop a new research seminar course to provide training and research opportunities for undergraduate students. A series of educational videos will be created to showcase the use and application of OOI data. The videos will be used in college level courses at three universities. This project will provide training opportunities for eight undergraduate students, two doctoral students, and one postdoctoral researcher. This CAREER project will utilize marine biogeochemical time series data from Ocean Observatories Initiative (OOI) locations in the subpolar North Atlantic and subarctic Northeast Pacific to evaluate the relative roles of biological, chemical, and physical processes driving the ocean’s carbon sink. The project seeks to improve the usability of OOI biogeochemical (BGC) sensor data and leverage these marine BGC time series data to determine changes in carbon cycling processes in the subpolar North Atlantic and subarctic Northeast Pacific Oceans. This research is key for predicting long term perturbations due to climate change and for understanding how changes in carbon cycling in these regions will influence carbon sequestration. The objectives of this project are to: 1) quantify the rates and drivers of carbon cycling and long-term carbon sequestration in the subpolar North Atlantic and subarctic Northeast Pacific Oceans and 2) determine the mechanistic controls on the ocean carbon sink due to inter-related biological, chemical, and physical processes over >10 years at each array site. The high temporal resolution BGC data collected by the arrays will improve understanding of the sampling resolution needed to capture key carbon cycling processes and test the hypothesis that short-time scale events during spring phytoplankton blooms and strong winter storms play a significant role in the overall annual carbon cycle. Education activities associated with this CAREER project include a series of educational videos about OOI and use of the data it provides that will be incorporated into undergraduate courses, a new research seminar course for undergraduates, and research opportunities for undergraduate and graduate students as well as a postdoctoral researcher. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L14",null,{"dataset":{"_id":"1009070","description":"","problem":"Quality flags \r\n\r\nWOCE quality flags for CTD pressure, temperature and salinity are carried over from corresponding calibrated bottle files. \r\n \r\n\r\nWOCE quality flags:\r\n\r\n 1 = Not calibrated with water samples \r\n 2 = Acceptable measurement \r\n 3 = Questionable measurement \r\n 4 = Bad measurement \r\n 9 = Not sampled\r\n \r\n\r\nQuality flags for DIC, TA and oxygen values follow the recommendations of Jiang et al. 2022. Quality flags for oxygen are carried over from corresponding calibrated bottle files. \r\n \r\n\r\nJiang et al. 2022 quality flags: \r\n\r\n 1 = not evaluated/quality unknown\r\n 2 = acceptable\r\n 3 = questionable\r\n 4 = known bad\r\n 6 = median of replicates\r\n 9 = Missing value","acquisition":"$15","processing":"$16","bcodmoProcessing":"Curation Actions Performed to the Data Files of this Dataset:\r\n\r\n- Loaded the original data files (AR84-01_Discrete_Bottle_Samples.csv and RR2505_Discrete_Bottle_Samples.csv), using filenames as resource names, with header row 2, skip row 3, treating \"\" and \"nd\" as missing values.\r\n- Concatenated both injested files into single table named 1009070_v1_irminger_dic_ta_and_do_bottle_data in order to publish data from these two separate cruises in one tabular file.\r\n- Converted date column (format %d-%b-%Y %H:%M:%S, UTC) into new ISO_DateTime_UTC datetime column (output format %Y-%m-%dT%H:%M:%SZ, UTC.\r\n- Updated column metadata with BCO-DMO standard names, units, descriptions, and flagged lat, lon, and ISO_DateTime_UTC as primary parameters\r\n- Saved the resulting file as 1009070_v1_irminger_dic_ta_and_do_bottle_data.csv, which is the primary datafile of this dataset.\r\n\r\n","title":"Supplementary discrete sample measurements of dissolved inorganic carbon and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2024 (AR84-01) and 2025 (RR2505)","nickname":"Irminger DIC TA and DO bottle data","dataUrl":"","currentState":"Final","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-10-06T04:00:00.000Z","abstract":"This dataset contains discrete sample measurements of dissolved inorganic carbon (DIC) and total alkalinity (TA) collected during the June 2024 and July 2025 Ocean Observatories Initiative (OOI) turn-around cruise 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 cruise 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 discrete DIC and TA sample measurements alongside temperature and bottle-calibrated salinity and oxygen values from the depths where Niskin bottles were closed for water sample collection.","citation":"Palevsky, H. I., Fogaren, K. E., Jacobs, I., Yoder, M. (2026) Supplementary discrete sample measurements of dissolved inorganic carbon and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2024 (AR84-01) and 2025 (RR2505). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-10-06 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1009070.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.1009070.1","versionDate":"2026-10-06","versionId":"1","year":"2026","title":"Supplementary discrete sample measurements of dissolved inorganic carbon and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2024 (AR84-01) and 2025 (RR2505)","authors":"Palevsky, H. I., Fogaren, K. E., Jacobs, I., Yoder, M.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.1009070.1","release_date":null,"field_dataset_location":"Irminger Sea (60.46°N, 38.44°W)","temporal_extent":{"start":"2024-06-11T04:00:00.000Z","end":"2025-08-03T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1718078400","label":"2024-06-11"},"end":{"value":"1754193600","label":"2025-08-03"}},"spatial_extent":{"shape":"polygon","center":{"latitude":59.816814999998,"longitude":-39.863219999998},"wkt":"POLYGON ((-41.1177 59.65724, -38.60874 59.65724, -38.60874 59.97639, -41.1177 59.97639, -41.1177 59.65724))","north":59.97639,"east":-38.60874,"south":59.65724,"west":-41.1177},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"1010347","title":"1009070_v1_irminger_dic_ta_and_do_bottle_data.csv","url":"https://datadocs.bco-dmo.org/dataset/1009070/file/wnonQz6iyKpwPz/1009070_v1_irminger_dic_ta_and_do_bottle_data.csv","showTableUrl":"https://www.bco-dmo.org/dataset/1009070/data/view/1010347","description":"Primary data file for dataset ID 1009070, version 1\n\nThis file contains the discrete DIC and TA sample measurements alongside temperature and bottle-calibrated salinity and oxygen values from the depths where Niskin bottles were closed for water sample collection during cruises AR84-01 in 2024 and RR2505 in 2025.","filename":"1009070_v1_irminger_dic_ta_and_do_bottle_data.csv","bytesize":31641,"checksum":{"value":"02cdf924285f7e1a8ade2738d1f7db4d","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"626072","name":"Hilary I. Palevsky"},"performedAtOrganization":{"_id":"831043","name":"Boston College"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"904725","name":"Kristen E. Fogaren"},"performedAtOrganization":{"_id":"831043","name":"Boston College"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"1009079","name":"Ilana Jacobs"},"performedAtOrganization":{"_id":"831043","name":"Boston College"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"904737","name":"Meg Yoder"},"performedAtOrganization":{"_id":"831043","name":"Boston College"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"852000","name":"Sawyer Newman"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"1009059","name":"AR84-01","synonyms":["OOI Irminger-11"],"dates":{"start":"2024-06-02T00:00:00.000Z","end":"2024-07-02T00:00:00.000Z"},"platform":{"_id":"647921","name":"R/V Neil Armstrong"},"chiefScientists":[{"id":"535563","name":"Sheri White","role":"Chief Scientist"}]},{"_id":"1009061","name":"RR2505","synonyms":["OOI Irminger-12"],"dates":{"start":"2025-07-18T00:00:00.000Z","end":"2025-08-07T00:00:00.000Z"},"platform":{"_id":"54013","name":"R/V Roger Revelle"},"chiefScientists":[{"id":"904877","name":"John M. Lund","role":"Chief Scientist"}]}],"funding":[{"_id":"993938","name":"OCE-2338450","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2338450"}],"instruments":[{"_id":"1009087","name":"Apollo SciTech AS-ALK2 TA Analyzer","description":"Samples were analyzed at the Boston College Marine Biogeochemistry Laboratory. DIC was analyzed using an Apollo SciTech AS-C6L DIC Analyzer and TA was analyzed using an Apollo SciTech AS-ALK2 TA Analyzer. Both DIC and TA were measured from the same sample bottle. All DIC measurements were made on the day the bottle was opened for analysis, and TA measurements were made within the same week. DIC and TA instruments were calibrated daily and monitored throughout each analysis session by measuring Certified Reference Materials (CRMs) (Andrew Dickson, UCSD).","type_id":"896664","type_name":"Apollo SciTech AS-ALK2 total alkalinity titrator","type_desc":"An automated acid-base titrator for use in aquatic carbon dioxide parameter analysis. The titrator provides standardisation and sample analysis, using the Gran titration procedure for alkalinity determination of seawater and brackish waters. It is designed for both shipboard and land based laboratory use. The precision of the instrument is 0.1 percent or higher, and sample volumes may range from 10-25 ml. Titration takes approximately 8 minutes per sample, and the repeatability is within plus or minus 1-2 micromoles per kg.","type_acronym":"Apollo SciTech AS-ALK2"},{"_id":"1009086","name":"Apollo SciTech AS-C6L DIC Analyzer","description":"Samples were analyzed at the Boston College Marine Biogeochemistry Laboratory. DIC was analyzed using an Apollo SciTech AS-C6L DIC Analyzer and TA was analyzed using an Apollo SciTech AS-ALK2 TA Analyzer. Both DIC and TA were measured from the same sample bottle. All DIC measurements were made on the day the bottle was opened for analysis, and TA measurements were made within the same week. DIC and TA instruments were calibrated daily and monitored throughout each analysis session by measuring Certified Reference Materials (CRMs) (Andrew Dickson, UCSD).","type_id":"990520","type_name":"Apollo SciTech AS-C5 dissolved inorganic carbon analyzer","type_desc":"$17","type_acronym":"Apollo SciTech AS-C5 DIC analyzer"}],"parameters":[{"_id":"1009088","name":"cruise","format":"","frictionlessType":"string","description":"

Cruise identification

","units":{"_id":"","name":"n.a."},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"1009089","name":"ISO_DateTime_UTC","format":"%Y-%m-%dT%H:%M:%SZ","frictionlessType":"datetime","description":"

Date time (UTC)

","units":{"_id":"","name":"n.a."},"type":{"_id":"1908","name":"ISO_DateTime_UTC","description":"

Date/Time (UTC) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Sample ISO_datetime_utc:
\n2009-08-30T14:05:00[.xx]Z (UTC time)

Format: YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)

"}},{"_id":"1009091","name":"lat","format":"","frictionlessType":"number","description":"

Latitude

","units":{"_id":"","name":"degree"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"1009093","name":"lon","format":"","frictionlessType":"number","description":"

Longitude

","units":{"_id":"","name":"degree"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"1009095","name":"cast","format":"","frictionlessType":"integer","description":"

Cast number

","units":{"_id":"","name":"n.a."},"type":{"_id":"761","name":"cast","description":"

cast or profile number

"}},{"_id":"1009096","name":"NiskinID","format":"","frictionlessType":"integer","description":"

Unique Niskin bottle number from the CTD rosette

","units":{"_id":"","name":"n.a."},"type":{"_id":"1854","name":"bot_Nis","description":"

Niskin sample bottle number

"}},{"_id":"1009097","name":"CTDPRES","format":"","frictionlessType":"number","description":"

Hydrostatic pressure recorded from CTD at the depth where the sample was taken

","units":{"_id":"","name":"dbar"},"type":{"_id":"732","name":"pressure","description":"

water pressure at measurement; depth reported as pressure; positive number increasing with water depth

"}},{"_id":"1009098","name":"CTDPRES_flag","format":"","frictionlessType":"integer","description":"

WOCE quality control flag for CTDPRES.

WOCE quality flags: 1 = Not calibrated with water samples, 2 = Acceptable measurement, 3 = Questionable measurement, 4 = Bad measurement, 9 = Not sampled

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009099","name":"CTDTEMP_ITS90","format":"","frictionlessType":"number","description":"

In situ temperature recorded from CTD on the ITS-90 scale

","units":{"_id":"","name":"degrees C"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"1009100","name":"CTDTEMP_flag","format":"","frictionlessType":"integer","description":"

WOCE quality control flag for CTDTEMP.

WOCE quality flags: 1 = Not calibrated with water samples, 2 = Acceptable measurement, 3 = Questionable measurement, 4 = Bad measurement, 9 = Not sampled

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009101","name":"CTDSAL_PSS78","format":"","frictionlessType":"number","description":"

Calibrated salinity (Practical Salinity Scale of 1978) calculated from conductivity recorded with CTD

","units":{"_id":"","name":"unitless"},"type":{"_id":"962495","name":"practical salinity","description":"

The quantity of dissolved ions (predominantly salt in seawater) expressed on a scale (PSS-78) based on the conductivity ratio of a seawater sample to a standard salt solution.

https://vocab.nerc.ac.uk/collection/P01/current/PSLTZZ01/

"}},{"_id":"1009102","name":"CTDSAL_flag","format":"","frictionlessType":"integer","description":"

WOCE quality control flag for CTDSAL PSS78.

WOCE quality flags: 1 = Not calibrated with water samples, 2 = Acceptable measurement, 3 = Questionable measurement, 4 = Bad measurement, 9 = Not sampled

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009103","name":"CTDOXY","format":"","frictionlessType":"number","description":"

Calibrated dissolved oxygen content from oxygen sensor mounted on the CTD

","units":{"_id":"","name":"umol/kg"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1009104","name":"CTDOXY_flag","format":"","frictionlessType":"integer","description":"

Jiang et al. 2022 quality flag for CTDDOXY.

Jiang et al. 2022 quality flags: 1 = not evaluated/quality unknown, 2 = acceptable, 3 = questionable, 4 = known bad, 6 = median of replicates, 9 = Missing value

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009105","name":"Oxygen1","format":"","frictionlessType":"number","description":"

Dissolved oxygen content measured from discrete-bottle-based Winkler titration

","units":{"_id":"","name":"umol/kg"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1009106","name":"Oxygen1_flag","format":"","frictionlessType":"integer","description":"

Jiang et al. 2022 quality flag for Oxygen1:

Jiang et al. 2022 quality flags: 1 = not evaluated/quality unknown, 2 = acceptable, 3 = questionable, 4 = known bad, 6 = median of replicates, 9 = Missing value

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009107","name":"Oxygen2","format":"","frictionlessType":"number","description":"

Dissolved oxygen content measured from discrete-bottle-based Winkler titration

","units":{"_id":"","name":"umol/kg"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1009108","name":"Oxygen2_flag","format":"","frictionlessType":"integer","description":"

Jiang et al. 2022 quality flag for Oxygen2.

Jiang et al. 2022 quality flags: 1 = not evaluated/quality unknown, 2 = acceptable, 3 = questionable, 4 = known bad, 6 = median of replicates, 9 = Missing value

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009109","name":"DIC","format":"","frictionlessType":"string","description":"

Total dissolved inorganic carbon content

","units":{"_id":"","name":"umol/kg"},"type":{"_id":"1187","name":"DIC","description":"

Dissolved Inorganic Carbon

"}},{"_id":"1009110","name":"DIC_flag","format":"","frictionlessType":"integer","description":"

Jiang et al. 2022 quality flag for DIC.

Jiang et al. 2022 quality flags: 1 = not evaluated/quality unknown, 2 = acceptable, 3 = questionable, 4 = known bad, 6 = median of replicates, 9 = Missing value

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1009111","name":"TA","format":"","frictionlessType":"number","description":"

Total alkalinity content

","units":{"_id":"","name":"umol/kg"},"type":{"_id":"1224","name":"TALK","description":"

Total alkalinity

"}},{"_id":"1009112","name":"TA_flag","format":"","frictionlessType":"integer","description":"

Jiang et al. 2022 quality flag for TA.

Jiang et al. 2022 quality flags: 1 = not evaluated/quality unknown, 2 = acceptable, 3 = questionable, 4 = known bad, 6 = median of replicates, 9 = Missing value

","units":{"_id":"","name":"n.a."},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}}],"related_publications":[{"id":"1009083","citation":"Dickson, A. G., & et, al. (2007). Guide to best practices for ocean CO2 measurement. North Pacific Marine Science Organization. https://doi.org/10.25607/OBP-1342","relation_type":["Methods"],"relation_desc":""},{"id":"1009084","citation":"Jiang, L.Q., Pierrot, D., Wanninkhof, R., Feely, R. A., Tilbrook, B., Alin, S., Barbero, L., Byrne, R. H., Carter, B. R., Dickson, A. G., Gattuso, J.P., Greeley, D., Hoppema, M., Humphreys, M. P., Karstensen, J., Lange, N., Lauvset, S. K., Lewis, E. R., Olsen, A., et al. (2022). Best Practice Data Standards for Discrete Chemical Oceanographic Observations. Frontiers in Marine Science, 8. https://doi.org/10.3389/fmars.2021.705638\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"1009085","citation":"Palevsky, H., Clayton, S., Atamanchuk, D., Battisti, R., Batryn, J., Bourbonnais, A., Briggs, E. M., Carvalho, F., Chase, A. P., Eveleth, R., Fatland, R., Fogaren, K. E., Fram, J. P., Hartman, S. E., Le Bras, I., Manning, C. C. M., Needoba, J. A., Neely, M. B., Oliver, H., Wingard, C. (2023). OOI Biogeochemical Sensor Data Best Practices and User Guide. Version 1.1.1. [GOOS ENDORSED PRACTICE]. Ocean Observatories Initiative, Biogeochemical Sensor Data Working Group. https://doi.org/10.25607/OBP-1865.2","relation_type":["Methods"],"relation_desc":""}],"related_datasets":[{"_id":"911407","name":"OOI Irminger Sea CTD and Water Sampling Data","url":"","relation_type":"IsSupplementTo","type_desc":"

Indicates datasets that are supplemented by this dataset.

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The dataset is related to another dataset.

\n","relation_desc":"Discrete DIC, TA, and dissolved oxygen samples from previous cruises to the same time series site.","citation":"Palevsky, H. I., Fogaren, K. E., Nicholson, D. P., Yoder, M. (2023) 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. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-07-19 doi:10.26008/1912/bco-dmo.904722.1"}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/1009070/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/1009070/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/1009070/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/1009070/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"993939","name":"CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series","acronym":"OOI Global BGC time series","description":"$18"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.1009070.1","url":"https://doi.org/10.26008/1912/bco-dmo.1009070.1","date_assigned":"2026-10-20","version_date":"2026-10-06","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":0},"downloads":{"count":0}}}}]