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","1498","static/chunks/app/dataset/%5Bid%5D/data/view/%5Bfileid%5D/page-177ea8adea7aed86.js"],"default"] 15:Ta8d,

Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD.

For mesocosm (large volume) incubation experiments (referred to as “LV” incubations), seawater was transferred to 20 L carboys that were rinsed three times with water from the sampling depth and then filled with seawater from a single Niskin bottle, using silicone tubing that had been acid washed then rinsed with distilled water prior to use. Four carboys were filled at each depth from bottom water, water from the depth at which oxygen showed a minimum, and deep chlorophyll maximum (DCM) water, according to the CTD. Triplicate 20L carboys were amended with ca. 500 mg (exact mass was recorded for each addition) of HMW Thalassiosira; unamended single carboys were used for controls. All mesocosms were incubated in the dark at near in-situ temperatures. Mesocosms were sub-sampled at the start of incubation (0 days), and then after at approximately 2 days, 6 or 7 days, 11 days, and 16 days for multiple assays including total cell abundance.

Total cell abundance was quantified following Giljan et al. (2023). In brief, 25-50 mL of water was fixed with a final concentration of 1% formaldehyde and subsequently filtered onto 0.2 µm polycarbonate filters (Millipore). The DNA of filtered cells were simultaneously counterstained and mounted using a 1 ng/µL working solution of 4',6-Diamidino-2-phenylindole dihydrochloride (DAPI) mixed with Citifluor/VectaShield (4:1) solution. A minimum of 45 microscopic images were acquired per sample using an automated imaging system (Zeiss AxioImager.Z2 microscope stand; 63x magnification oil immersion plan apochromatic objective with 1.4 NA, Carl Zeiss). Final cell abundance was determined using ACMETOOL 3 (http://www.tchnobiology.ch and Max Planck Institute of Marine Microbiology, Bremen). Quantification of DAPI-stained cells (signal:background > 1.5) is reported as total cell abundance. Note that for the amended mesocosms, in many cases the cells were too dense to count automatically. For these samples, 15 microscopic images were manually counted using the ACMETOOL 3 software; a minimum of 12 of 4510 images are needed to accurately capture the total cell abundance per filter. In some cases, moreover, there were not enough cells to calculate total cell abundance or the filters needed to determine cell abundance were not available (i.e., samples were lost during transit; some filters were dropped during experimental subsampling), so the data presented for each timepoint in several cases originates from different replicate mesocosms during the time course of incubation.

16:T6e5,This section documents curation actions performed prior to publication review with the submitter, and additional information relevant to understanding and reusing this dataset. It distinguishes changes made to the submitted (meta)data from unresolved issues and/or enhancements that improve future reuse and interoperability. CURATION ACTIONS PERFORMED ON DATA - Loaded CSV file "20251114_EN638_CellCounts_Processed_BCODMO.csv" with header row 1; treated empty strings and "nd" as missing values - Created new integer column cell_abundance_flag, populated by evaluating cell_abundance: value "-" flagged as 1, value "*" flagged as 2, and all other values flagged as 0 - Replaced "-" and "*" values in cell_abundance column with blank/empty values - Applied find/replace to time_sampled to normalize timestamps lacking seconds by appending ":00" to values matching the pattern m/d/yyyy h:mm - Converted time_sampled from format "%m/%d/%Y %H:%M:%S" to ISO 8601 format "%Y-%m-%dT%H:%M" as a string field - Converted time_sampled (interpreted as America/New_York timezone) to UTC, creating new column time_sampled_UTC with output format %Y-%m-%dT%H:%MZ - Renamed time_sampled to time_sampled_EDT - Reordered columns to: Deployment, Station, latitude, longitude, time_sampled_EDT, time_sampled_UTC, cast_number, depth_sequence, depth_m, in-situ_temp, incub_temp, sample_type, unammended_ammended, timepoint_number, time_elapsed_days, cell_abundance, cell_abundance_flag - Renamed field "in-situ_temp" to "in_situ_temp" to remove the hyphen - Exported file as "994900_v1_en638_lv_cell_counts.csv" CURATION ACTIONS PERFORMED ON METADATA - Standard metadata entry and text formatting steps were performed. ISSUES POTENTIALLY IMPACTING REUSE - N/A17:T46c,Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that high molecular weight (HMW) DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. Here we investigated the potential of seawater microbial communities from different water masses and under differing conditions of organic matter availability to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan). Samples were taken from incubation experiments of DCM, OMZ, and bottom waters aboard R/V Endeavor (EN638), May 2019 in the Northern Atlantic. This dataset includes the measurement of cell abundance from samples taken from mesocosm incubations after the addition of HMW DOM.18:T112b,NSF Award Abstract: Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The high molecular weight (HMW) fraction of DOM is younger in age and more readily consumed by microbes than lower molecular weight (LMW) fractions of DOM, but the reasons for this difference in reactivity between HMW DOM and LMW DOM are unknown. Two factors may account for the greater reactivity of HMW DOM: (i) targeted uptake of HMW DOM by specific bacteria, a process the PI and her collaborators at the Max Planck Institute for Marine Microbiology (MPI) recently identified in surface ocean waters; and (ii) a greater tendency of HMW DOM to aggregate and form gels and particles, which can be colonized by bacteria that are well-equipped to breakdown organic matter. Scientists and students from the University of North Carolina (UNC) - Chapel Hill will collaborate with researchers at the MPI for Marine Microbiology (Bremen, Germany) to investigate this breakdown of HMW DOM by marine microbial communities. These investigations will include a field expedition in the North Atlantic, during which HMW DOM degradation rates and patterns will be compared in different water masses and under differing conditions of organic matter availability. DOM aggregation potential, and degradation rates of these aggregates, will also be assessed. Specialized microscopy will be used in order to pinpoint HMW DOM uptake mechanisms and rates. The work will be complemented by ongoing studies of specific bacteria that breakdown HMW DOM, their genes, and their proteins. Graduate as well as undergraduate students will participate as integral members of the research team in all aspects of the laboratory and field work; aspects of the project will also be integrated into classes the scientist teaches at UNC. The existence of a size-reactivity continuum of DOM - observations and measurements showing that HMW DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. This project will investigate the mechanisms and measure rates of HMW DOM degradation, focusing on identifying the actors and determining the factors that contribute to rapid cycling of HMW DOM. Collaborative work at UNC and MPI-Bremen recently identified a new mechanism of HMW substrate uptake common among pelagic marine bacteria: these bacteria rapidly bind, partially hydrolyze, and transport directly across the outer membrane large fragments of HMW substrates that can then be degraded within the periplasmic space, avoiding production of LMW DOM in the external environment. This mode of substrate processing has been termed selfish, since targeted HMW substrate uptake sequesters resources away from other members of microbial communities. Measurements and models thus must account for three modes of substrate utilization in the ocean: selfish, sharing (external hydrolysis, leading to low molecular weight products), and scavenging (uptake of low molecular weight hydrolysis products without production of extracellular enzymes). Using field studies as well as mesocosm experiments, the research team will investigate the circumstances and locations at which different modes of substrate uptake predominate. A second focal point of the project is to determine the aggregation potential and microbial degradation of aggregated HMW DOM. Preliminary studies have demonstrated that particle-associated microbial communities utilize a broader range of enzymatic capabilities than their free-living counterparts. These capabilities equip particle-associated communities to effectively target a broad range of complex substrates. The project will thus focus on two key aspects of HMW DOM - the abilities of specialized bacteria to selectively sequester HMW substrates, as well as the greater potential of HMW substrates to aggregate ? and will quantify these factors at different locations and depths in the ocean. The project will thereby provide a mechanistic underpinning for observations of the DOC size-reactivity continuum, an essential part of developing an overall mechanistic understanding of organic matter degradation in the ocean.6:["$","$L14",null,{"dataset":{"_id":"994900","description":"","problem":"In some cases, there were not enough cells to calculate total cell abundance or the filters needed to determine cell abundance were not available (i.e., samples were lost during transit; some filters were dropped during experimental subsampling), so the data presented for each timepoint in several cases originates from different replicate mesocosms during the time course of incubation.","acquisition":"$15","processing":"

ACMETOOL 3 (Max Planck Institute of Marine Microbiology, Bremen)

\n","bcodmoProcessing":"$16","title":"Cell abundance in HMW-DOM amended mesocosm incubations from water collected in the Western North Atlantic during the research cruise EN638 in May 2019 aboard R/V Endeavor","nickname":"EN638 LV Cell Counts","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-09-08T04:00:00.000Z","abstract":"$17","citation":"Lloyd, C., Brown, S. A., Arnosti, C., Ghobrial, S. (2026) Cell abundance in HMW-DOM amended mesocosm incubations from water collected in the Western North Atlantic during the research cruise EN638 in May 2019 aboard R/V Endeavor. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-09-08 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.994900.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.994900.1","versionDate":"2026-09-08","versionId":"1","year":"2026","title":"Cell abundance in HMW-DOM amended mesocosm incubations from water collected in the Western North Atlantic during the research cruise EN638 in May 2019 aboard R/V Endeavor","authors":"Lloyd, C., Brown, S. A., Arnosti, C., Ghobrial, S.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.994900.1","release_date":null,"field_dataset_location":"Western North Atlantic, Stn. 18 at approximately 37 degrees 30 N, 72 degrees 0 W, Stn. 19 at approximately 42 degrees 50 N, 53 degrees 23 W, and stn 20 at approximately 34 degrees 38 N, 53 degrees 58 W","temporal_extent":{"start":"2019-05-15T04:00:00.000Z","end":"2019-05-30T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1557892800","label":"2019-05-15"},"end":{"value":"1559188800","label":"2019-05-30"}},"spatial_extent":{"shape":"polygon","center":{"latitude":38.73822,"longitude":-62.6985},"wkt":"POLYGON ((-72.0021 34.6369, -53.3949 34.6369, -53.3949 42.83954, -72.0021 42.83954, -72.0021 34.6369))","north":42.83954,"east":-53.3949,"south":34.6369,"west":-72.0021},"dataset_type":["Cruise Results"],"keywords":["biota","oceans"],"data_files":[{"id":"1007209","title":"994900_v1_en638_lv_cell_counts.csv","url":"https://datadocs.bco-dmo.org/dataset/994900/file/LAKn8QrTk32BZl/994900_v1_en638_lv_cell_counts.csv","showTableUrl":"https://www.bco-dmo.org/dataset/994900/data/view/1007209","description":"Primary data file for dataset ID 994900, version 1","filename":"994900_v1_en638_lv_cell_counts.csv","bytesize":9960,"checksum":{"value":"345998ea98c80f0b0cc7d754fd49e4d4","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_994900_v1","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"661940","name":"Carol Arnosti"},"performedAtOrganization":{"_id":"20","name":"University of North Carolina at Chapel Hill"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"985790","name":"Sarah Allison Brown"},"performedAtOrganization":{"_id":"20","name":"University of North Carolina at Chapel Hill"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"956112","name":"Chad Lloyd"},"performedAtOrganization":{"_id":"20","name":"University of North Carolina at Chapel Hill"}},{"role":{"_id":"137","name":"Data Manager"},"performedBy":{"_id":"890958","name":"Sherif Ghobrial"},"performedAtOrganization":{"_id":"20","name":"University of North Carolina at Chapel Hill"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"924467","name":"Audrey Mickle"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"820578","name":"EN638","synonyms":[],"dates":{"start":"2019-05-15T00:00:00.000Z","end":"2019-05-30T00:00:00.000Z"},"platform":{"_id":"53992","name":"R/V Endeavor"},"chiefScientists":[{"id":"661940","name":"Carol Arnosti","role":"Chief Scientist"}]}],"funding":[{"_id":"809974","name":"OCE-1736772","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1736772"}],"instruments":[{"_id":"994910","name":"CTD","description":"Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD.","type_id":"591","type_name":"CTD Sea-Bird SBE 911plus","type_desc":"The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics","type_acronym":"CTD SBE 911plus"},{"_id":"994914","name":"Zeiss AxioImager.Z2","description":"A minimum of 45 microscopic images were acquired per sample using an automated imaging system (Zeiss AxioImager.Z2 microscope stand; 63x magnification oil immersion plan apochromatic objective with 1.4 NA, Carl Zeiss). ","type_id":"695","type_name":"Fluorescence Microscope","type_desc":"Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.","type_acronym":""},{"_id":"994909","name":"Niskin bottles","description":"Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD.","type_id":"413","type_name":"Niskin bottle","type_desc":"A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.","type_acronym":"Niskin bottle"}],"parameters":[{"_id":"1007188","name":"Deployment","format":"","frictionlessType":"string","description":"

Cruise ID

","units":{"_id":"","name":"unitless"},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"1007189","name":"Station","format":"","frictionlessType":"integer","description":"

Station number for cruise: 18, 19, or 20

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"1007190","name":"latitude","format":"","frictionlessType":"number","description":"

Latitude, south is negative

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

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

"}},{"_id":"1007192","name":"longitude","format":"","frictionlessType":"number","description":"

Longitude, west is negative

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

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

"}},{"_id":"1007194","name":"time_sampled_EDT","format":"%Y-%m-%dT%H:%M","frictionlessType":"datetime","description":"

Date and time of sample collection, Eastern Daylight Time (EDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1909","name":"ISO_DateTime_Local","description":"

Date/Time (Local) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\nYYYY-MM-DDTHH:MM:SS[.xx]
\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.

Note the Time Zone (TZ) as +/-HH:MM
\nTime Zone signage is for conversion from local to UTC
\nWest Coast USA in summer is +7 (add 7 hrs to local time for UTC)

"}},{"_id":"1007195","name":"time_sampled_UTC","format":"%Y-%m-%dT%H:%MZ","frictionlessType":"datetime","description":"

Date and time of sample collection, UTC

","units":{"_id":"","name":"unitless"},"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":"1007197","name":"cast_number","format":"","frictionlessType":"string","description":"

Cast number (refers to cast of CTD/Niskin bottles on cruise)

","units":{"_id":"","name":"unitless"},"type":{"_id":"761","name":"cast","description":"

cast or profile number

"}},{"_id":"1007198","name":"depth_sequence","format":"","frictionlessType":"string","description":"

Sequence of depths sampled (1 is surface; higher numbers at greater depths)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1740","name":"site_descrip","description":"

Description or characteristics of a sampling site

"}},{"_id":"1007199","name":"depth_m","format":"","frictionlessType":"number","description":"

Actual depth at which water was collected

","units":{"_id":"","name":"meters"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"1007201","name":"in_situ_temp","format":"","frictionlessType":"number","description":"

Temperature of bulk water at depth at time of collection

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

water temperature at measurement depth

"}},{"_id":"1007202","name":"incub_temp","format":"","frictionlessType":"number","description":"

Temperature of mesocosm incubation

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"541490","name":"temp_incub","description":"

The temperature of the medium in which specimens or organisms are being cultivated/incubated. Typically relates to the temperature of the medium in the container used in controlled experiments. Not the ambient water temperature.

"}},{"_id":"1007203","name":"sample_type","format":"","frictionlessType":"string","description":"

Sample from bulk water (Bulk) or Large Volume (LV) incubation

","units":{"_id":"","name":"unitless"},"type":{"_id":"1742","name":"sample_type","description":"

text description of type of sample collected (rock, bio, fluid, etc)

"}},{"_id":"1007204","name":"unammended_ammended","format":"","frictionlessType":"string","description":"

Refers to whether high molecular weight thalassiosira weissflogii extract was added to the incubation or not.

","units":{"_id":"","name":"unitless"},"type":{"_id":"489066","name":"treatment","description":"

Experimental conditions applied to experimental units. In comparative experiments, members of the complementary group, the control group, receive either no treatment or a standard treatment.

"}},{"_id":"1007205","name":"timepoint_number","format":"","frictionlessType":"string","description":"

Timepoint number of sample collection (t0, t1, t3, or t4)

","units":{"_id":"","name":"unitless"},"type":{"_id":"472026","name":"time_point","description":"

Arbitrary time point of sampling in a sampling sequence (T0, T1,....Tn)

"}},{"_id":"1007206","name":"time_elapsed_days","format":"","frictionlessType":"number","description":"

Incubation time elapsed at sample collection in days

","units":{"_id":"","name":"days"},"type":{"_id":"1838","name":"time_elapsed","description":"

Elapsed time. Units can be seconds, minutes, etc.

"}},{"_id":"1007207","name":"cell_abundance","format":"","frictionlessType":"number","description":"

Total cell abundance from mesocosm experiments subsampled at each timepoint

","units":{"_id":"","name":"cells/mL"},"type":{"_id":"735","name":"abundance","description":"

Amount (number, mass, diversity/species variation) of the specific taxa/group counted per unit area or volume

"}},{"_id":"1007208","name":"cell_abundance_flag","format":"","frictionlessType":"integer","description":"

Flags for cell_abundance: Data is present = 0; No data are available because samples were lost or images were not acquired due to technical difficulties = 1; There were too few cells to accurately quantify = 2

","units":{"_id":"","name":"unitless"},"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":"963396","citation":"Giljan, G., Brown, S., Lloyd, C. C., Ghobrial, S., Amann, R., & Arnosti, C. (2023). Selfish bacteria are active throughout the water column of the ocean. ISME Communications, 3(1). https://doi.org/10.1038/s43705-023-00219-7\r\n","relation_type":["Methods"],"relation_desc":""}],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/994900/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"ERDDAP","items":[{"name":"SUBSET DATA","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.html","contentType":"text/html","actionType":"tool"},{"name":"VIEW TABLE","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.htmlTable","contentType":"text/html","actionType":"view"},{"name":"CSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.csv","contentType":"text/csv","actionType":"download"},{"name":"TSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.tsv","contentType":"text/tsv","actionType":"download"},{"name":"GeoJSON","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.geoJson","contentType":"application/geo+json","actionType":"download"},{"name":"MATLAB","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.mat","contentType":"text/x-matlab","actionType":"download"},{"name":"netCDF","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.nc","contentType":"application/x-netcdf","actionType":"download"},{"name":"ODV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.odvTxt","contentType":"text/plain","actionType":"download"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/994900/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/994900/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/994900/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"809975","name":"A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation","acronym":"Microbial DOC Degradation","description":"$18"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.994900.1","url":"https://doi.org/10.26008/1912/bco-dmo.994900.1","date_assigned":"2026-09-08","version_date":"2026-09-08","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":52},"downloads":{"count":16}}},"fileId":"1007209"}]