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Dataset Title:  [DEPRECATED] Recovery parameters, isotopic composition, and elemental
composition of HMW and LMW DOM collected in the North Pacific Subtropical Gyre
on R/V Kilo Moana (KM1506, KM1515) during 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_711831)
Range: depth = 400.0 to 2500.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sample_Type {
    String bcodmo_name "sample_type";
    String description "Description of sample";
    String long_name "Sample Type";
    String units "unitless";
  Date_Collected {
    String bcodmo_name "date";
    String description "Date that sample was collected; YYYY/MM/DD";
    String long_name "Date Collected";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date_Collected";
    String time_precision "1970-01-01";
    String units "unitless";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 400.0, 2500.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Water depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  DOC {
    Float32 _FillValue NaN;
    Float32 actual_range 2.5, 79.9;
    String bcodmo_name "DOC";
    String description "DOC concentration or recovery";
    String long_name "DOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromoles per liter";
  DOC_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.6, 7.8;
    String bcodmo_name "DOC";
    String description "DOC concentration or recovery standard deviation";
    String long_name "DOC Stdev";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromoles per liter";
  DON {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 5.7;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "DON concentration or recovery";
    String long_name "DON";
    String units "micromoles per liter";
  DON_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 0.8;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "DON concentration or recovery standard deviation";
    String long_name "DON Stdev";
    String units "micromoles per liter";
  Volume {
    Float32 _FillValue NaN;
    Float32 actual_range 20.0, 4300.0;
    String bcodmo_name "volume";
    String description "Water volume processed";
    String long_name "Volume";
    String units "liters";
  CF {
    Int16 _FillValue 32767;
    Int16 actual_range 998, 1433;
    String bcodmo_name "unknown";
    String description "UF Concentration factor";
    String long_name "CF";
    String units "unitless";
  SPE_Loading {
    Int16 _FillValue 32767;
    Int16 actual_range 171, 901;
    String bcodmo_name "unknown";
    String description "SPE sorbent:DOC ratio";
    String long_name "SPE Loading";
    String units "gram per gram";
  Percent_Recovery_C {
    Float32 _FillValue NaN;
    Float32 actual_range 6.0, 47.8;
    String bcodmo_name "DOC";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Percent recovery of DOC";
    String long_name "Percent Recovery C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "percent";
  Percent_Recovery_N {
    Float32 _FillValue NaN;
    Float32 actual_range 7.8, 41.2;
    String bcodmo_name "Dissolved Organic Nitrogen";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Percent recovery of DON";
    String long_name "Percent Recovery N";
    String units "percent";
  C_N_a {
    Float32 _FillValue NaN;
    Float32 actual_range 11.5, 29.3;
    String bcodmo_name "C_to_N";
    String description "Atomic C:N ratio";
    String long_name "C N A";
    String units "unitless";
  C_N_a_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 7.9;
    String bcodmo_name "C_to_N";
    String description "Atomic C:N ratio standard deviation";
    String long_name "C N A Stdev";
    String units "unitless";
  CAMS_UCI_num {
    String bcodmo_name "unknown";
    String description "AMS analysis number";
    String long_name "CAMS UCI Num";
    String units "unitless";
  Fm {
    Float32 _FillValue NaN;
    Float32 actual_range 0.426, 0.97;
    String bcodmo_name "unknown";
    String description "14C derived fraction modern";
    String long_name "FM";
    String units "unitless";
  Fm_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.001, 0.004;
    String bcodmo_name "unknown";
    String description "14C derived fraction modern standard deviation";
    String long_name "Fm Stdev";
    String units "unitless";
  D14C {
    Float32 _FillValue NaN;
    Float32 actual_range -577.6, -37.3;
    String bcodmo_name "radioactive_isotope_conc";
    String description "14C/12C isotopic ratio";
    String long_name "D14 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "permil (0/00)";
  D14c_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4, 3.8;
    String bcodmo_name "radioactive_isotope_conc";
    String description "14C/12C isotopic ratio standard deviation";
    String long_name "D14c Stdev";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "permil (0/00)";
  C14_age {
    Int16 _FillValue 32767;
    Int16 actual_range 240, 6860;
    String bcodmo_name "C14_age";
    String description "14C derived age";
    String long_name "C14 Age";
    String units "years before present";
  C14_stdev {
    Byte _FillValue 127;
    Byte actual_range 25, 40;
    String bcodmo_name "C14_age";
    String description "14C derived age standard deviation";
    String long_name "C14 Stdev";
    String units "years before present";
  d13C {
    Float32 _FillValue NaN;
    Float32 actual_range -23.3, -20.8;
    String bcodmo_name "d13C";
    String description "13C/12C isotopic ratio";
    String long_name "D13 C";
    String units "permil (0/00)";
  d13C_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 0.4;
    String bcodmo_name "d13C";
    String description "13C/12C isotopic ration standard deviation";
    String long_name "D13 C Stdev";
    String units "permil (0/00)";
  d15N {
    Float32 _FillValue NaN;
    Float32 actual_range 3.1, 7.1;
    String bcodmo_name "d15N_bio";
    String description "15N/14N isotopic ratio";
    String long_name "D15 N";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
    String units "permil (0/00)";
  d15N_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 0.4;
    String bcodmo_name "d15N_bio";
    String description "15N/14N isotopic ratio standard deviation";
    String long_name "D15 N Stdev";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
    String units "permil (0/00)";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Sample Collection: Samples were collected on two separate research cruises
aboard the R/V Kilo Moana in August 2014 and May 2015. Sampling was conducted
at the Hawaii Ocean Time Series Station ALOHA (A Long-Term Oligotrophic
Habitat Assessment; 22 deg 45'N, 158 deg 00'W).
Surface water was sampled via the vessel's underway sampling system. The
intake pipe is situated on the forward starboard hull section of the vessel
approximately 7.5 m below the waterline. The laboratory seawater tap was
allowed to flush for 2 hours prior to each sampling. Seawater was pre-filtered
through 53 um Nitex mesh, and pumped through a 0.2 um polyethersulfone (PES)
cartridge filter (Shelco Filters, Micro Vantage, water grade, 9.75\\\" DOE,
polycarbonate housing) prior to introduction to the ultrafiltration system.
Large volume subsurface water samples were collected using successive casts of
a rosette equipped with 12 x 24 L Niskin bottles.
Tangential-Flow Ultrafiltration: The main UF system was constructed using a
modified design of the system described in Roland et al. (2009) and expanded
on by Walker et al. (2011). Briefly, the system was comprised of four-spiral
wound PES UF membranes, having a nominal molecular weight cut off of 2.5 kD
(GE Osmonics GH2540F30, 40-inch long, 2.5-inch diameter). The membranes were
mounted in stainless steel housings, plumbed in parallel to a 100 L
fluorinated HDPE reservoir, with flow driven by a 1.5 HP stainless steel
centrifugal pump (Goulds Pumps, Stainless steel centrifugal pump, NPE series 1
x 1-1/4 -6, close coupled to a 1-1/2 horsepower, 3500 RPM, 60 Hz, 3 phase,
Open Drip Proof Motor; 5.75 Inch Impeller Diameter, Standard Viton Mechanical
Seals). All other system plumbing components contacting seawater were composed
of polytetrafluoroethylene (PTFE) or stainless steel.
The system was run continuously at a membrane pressure of 40-50 psi, resulting
in permeation flow rates of 1-2 L/min, depending primarily on the temperature
of the feed seawater. Sample water was fed into the system using peristaltic
pumps and platinum cured silicone tubing at a flow rate matched to the system
permeation rates to ensure a constant system volume of approximately 100 L.
Seawater samples of 3000-4000 L were concentrated to a final retentate volume
of 15-20 L, drained from the system into acid-washed PC carboys and
refrigerated (less than 12 hours at 2C) until the next phase of processing.
Samples requiring storage for longer than 12 hours were frozen and stored at
-20 deg C. The UF system was then reconfigured to a smaller volume system,
consisting of a single membrane having a smaller nominal molecular weight
cutoff (GE Osmonics GE2540F30, 40-inch long, 2.5-inch diameter, 1 kD MWCO),
and a 2.5 L PES reservoir for further volume reduction and subsequent salt
removal (diafiltration). Using this smaller system, samples were reduced to
2-3 L under lower pressure (25 psi, permeation rate = 250 mL/min). Samples
were then diafiltered using 40 L of 18.2 M\\u03a9 Milli-Q (ultrapure) water,
adding water to the sample retentate reservoir at the same rate of membrane
permeation. Reduced and diafiltered samples were stored in acid washed PC
bottles at -20 deg C for transport. In the laboratory, samples were further
concentrated by rotary evaporation using pre-combusted glassware (450 deg C, 5
h). A molecular sieve and a liquid nitrogen trap were placed between the
vacuum pump and rotovap chamber to ensure no contamination of isolated
material by back streaming of hydrocarbons or other contaminants. After
reduction to 50-100 mL, samples were dried to powder via centrifugal
evaporation in PTFE centrifuge tubes. Dry material was homogenized with an
ethanol-cleaned agate mortar and pestle, transferred to pre-combusted glass
vials, and stored in a desiccation cabinet until subsequent analyses.
Solid Phase Extraction: Solid phase extraction was conducted using PPL sorbent
(Agilent Bondesil PPL, 125 um particle size, part # 5982-0026) following the
general recommendations of Dittmar et al. (2008) and Green et al. (2014),
including loading rates, seawater to sorbent ratios, and elution volumes and
rates. Between 300 and 500 g of sorbent was used for each extraction,
depending on sample volume and DOC concentration, with average loading of 4.2
+/- 1.5 L UF permeate per g sorbent representing 1.9 +/- 0.6 mg DOC per g
sorbent or a DOC to sorbent mass ratio of 1:600 +/- 200. This is in line with
both the recommendations of Dittmar et al. (2008) (maximum loading = 10 L
seawater per g sorbent) and Li et al. (2016) (DOC to sorbent ratio = 1:800).
Permeate from the UF system was fed through PTFE tubing to a pair of 200 L
HDPE barrels. The permeate water was then acidified in 200 L batches to pH 2
by adding 400 mL of 6 M HCl (Fisher Chemical, ACS Plus grade). Batch samples
were mixed continuously during collection, acidification, and loading using a
peristaltic pump and platinum cured Si and PTFE tubing positioned at the
surface and bottom of each barrel. Acidified batches of seawater permeate were
then pumped through the SPE sorbent. SPE flow rates were matched to UF
permeation rates (1-2 L/min), such that a pair of 200 L barrels allowed one
barrel to be filled while the contents of the other was passed through the
Three custom SPE column configurations were used to contain the sorbent
material. The column configuration was modified several times for ease of use
on subsequent cruises. First, an open, gravity-fed, large (49 mm ID x 1000 mm
length, 1875 mL volume) glass chromatography column with 40 um fritted disk
and PTFE stopcock (Kimble-Chase, Kontes) was used. Next, we tested a custom-
built high-pressure SS housing (10 cm ID x 3.5 cm bed height), and finally a
parallel combination of 2 medium-pressure glass chromatography columns
(Kimble-Chase, Kontes, Chromaflex LC, 4.8 mm ID x 30 cm, 543 mL volume). While
all designs proved to be functionally equivalent, the latter parallel
combination of 2 medium-pressure glass columns ultimately provided the best
configuration in order to maximize flow rates while simultaneously optimizing
the ratio of sorbent bed height to loading speed. Further, the commercial
availability and ease of use associated with this configuration made it our
preferred design.
Following sample loading, the SPE sorbent was desalted with 6 L of pH 2
ultrapure water at a low flow rate (250-300 mL/min). After desalting, the SPE
sorbent was transferred to a glass chromatography column (75 mm ID x 300 mm
length, 40 um fritted disk, PTFE stopcock) with ultrapure water rinses to
ensure quantitative transfer. Isolated organic material was then eluted from
the sorbent with five to six 500 mL additions of methanol. The eluted methanol
solution was stored in pre-combusted amber glass bottles at -20 deg C for
transport. Similar to UF samples, the methanol-eluted solutions were first
reduced by rotary evaporation to 50-100 mL. Samples were then dried to powder
via centrifugal evaporation in PTFE centrifuge tubes. Dry material was
homogenized with an ethanol cleaned agate mortar and pestle, transferred to
pre-combusted glass vials, and stored in a desiccation cabinet until elemental
and isotopic analyses.
Total DOM: Subsamples for dissolved organic carbon (DOC) and total dissolved
nitrogen (TDN) concentration measurements were collected into pre-combusted 40
mL borosilicate glass vials following 0.2 um-filtration. Samples were stored
at -20 deg C until analysis. Subsamples for [DOC] and [TDN] were also taken
from the UF system permeate to evaluate mass balance. An \\\"integrated\\\"
permeate sample (e.g., Benner et al., 1997) was prepared by sampling and
combining equal volumes (100 mL) collected at constant time intervals
throughout the ultrafiltration. DOC and TDN concentration measurements were
made using the high temperature oxidation method with a Shimadzu TOC-V in the
Carlson lab at UCSB
DOC concentration measurement errors represent the standard deviation of n=3
replicate measurements. Total DON concentrations were determined by
subtracting the sum of dissolved inorganic nitrogen (DIN) species (nitrate,
nitrite, ammonia) from TDN. DIN concentrations were determined using a Lachat
QuickChem 8000 Flow Injection Analyzer. Ammonia concentrations were below the
limit of quantification (0.36 uM) for all samples using QuickChem Method
31-107-06-1-B. Nitrate and nitrite concentrations were measured as the sum of
the two analytes using QuickChem Method 31-107-04-1-C. The limit of detection
for [NO3+NO2] using this method was 0.5 uM and the average precision of
replicate standard measurements was +/- 1.4 uM. In the case of [DON],
measurement errors represent the propagated analytical uncertainty from the
subtraction of [DIN] from [TDN]. DOC concentrations measurements were also
determined via UV oxidation, cryogenic purification and manometric
determination at UC Irvine.
Elemental and Isotopic Analyses: znatural abundance radiocarbon (D14C)
determinations of all isolated fractions were performed at the Lawrence
Livermore National Laboratory, Center for Accelerator Mass Spectrometry (LLNL-
CAMS) by AMS following standard graphitization procedures (Santos et al.,
2007; Vogel et al., 1984). The D14C signature of total seawater DOC (< 0.2 um)
was determined by UV-oxidation and AMS at the UC Irvine Keck Carbon Cycle AMS
Lab (Beaupr\\u00e9 et al., 2007; Druffel et al., 2013; Walker et al., 2016b).
Results are reported as age-corrected D14C (o/oo) for geochemical samples and
have been corrected to the date of collection and are reported in accordance
with conventions set forth by Stuiver and Polach (1977). Isotopic 14C results
are reported as background and 13C corrected fraction modern (Fm; Supplemental
Table 1), D14C, and conventional radiocarbon age (ybp) (Table 1).
Stable carbon (d13C) and nitrogen (d15N) isotope ratios were determined via
elemental analyzer isotope ratio mass spectrometry (EA-IRMS) at the University
of California, Santa Cruz, Stable Isotope Laboratory (UCSC-SIL;
Approximately 1 mg of each dry isolated DOM sample was weighed into tin
capsules (Costec, 5 x 9 mm) for analysis. EA-IRMS analysis was conducted using
a Carlo Erba CHNS-O EA1108-elemental analyzer interfaced via a ConFlo III
device with a ThermoFinnigan Delta Plus XP isotope ratio mass spectrometer
(Thermo Fisher Scientific). Standards, EA-IRMS protocols, and correction
routines followed standard UCSC-SIL protocols. Analytical uncertainties of n=3
replicate measurements of isotopic standards ranged from +/- 0.05 to 0.1o/oo
for both d13C and d15N. Carbon to nitrogen elemental ratios were similarly
determined by elemental analysis. The presented ratios are atomic ratios (C/N)
normalized to the mass of C and N, but have been abbreviated as C/N
    String awards_0_award_nid "701743";
    String awards_0_award_number "OCE-1358041";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1358041";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Properties of HMW and LMW DOM from the NPSG 
  M. McCarthy and T. Guilderson, PIs 
  Version 1 August 2017";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String dataset_current_state "Deprecated";
    String date_created "2017-08-01T23:55:54Z";
    String date_modified "2020-07-06T18:45:17Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.711831.1";
    Float64 geospatial_vertical_max 2500.0;
    Float64 geospatial_vertical_min 400.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-08-03T18:34:10Z (local files)
2020-08-03T18:34:10Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_711831.das";
    String infoUrl "https://www.bco-dmo.org/dataset/711831";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "Used to analyze 13C, 15N, and C/N";
    String instruments_0_dataset_instrument_nid "711860";
    String instruments_0_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_0_instrument_nid "469";
    String instruments_0_supplied_name "ThermoFinnigan Delta Plus XP isotope ratio mass spectrometer";
    String instruments_1_acronym "AMS";
    String instruments_1_dataset_instrument_description "Used to analyze 14C";
    String instruments_1_dataset_instrument_nid "711858";
    String instruments_1_description "An AMS measures \"long-lived radionuclides that occur naturally in our environment. AMS uses a particle accelerator in conjunction with ion sources, large magnets, and detectors to separate out interferences and count single atoms in the presence of 1x1015 (a thousand million million) stable atoms, measuring the mass-to-charge ratio of the products of sample molecule disassociation, atom ionization and ion acceleration.\" AMS permits ultra low-level measurement of compound concentrations and isotope ratios that traditional alpha-spectrometry cannot provide. More from Purdue University: http://www.physics.purdue.edu/primelab/introduction/ams.html";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB17/";
    String instruments_1_instrument_name "Accelerator Mass Spectrometer";
    String instruments_1_instrument_nid "527";
    String instruments_1_supplied_name "HVEC 10 MV Model FN Tandem Van de Graaff Accelerator";
    String instruments_2_acronym "Shimadzu TOC-V";
    String instruments_2_dataset_instrument_description "Used to analyze DOC and TDN";
    String instruments_2_dataset_instrument_nid "711881";
    String instruments_2_description "A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.";
    String instruments_2_instrument_external_identifier "http://onto.nerc.ac.uk/CAST/124";
    String instruments_2_instrument_name "Shimadzu TOC-V Analyzer";
    String instruments_2_instrument_nid "603";
    String instruments_2_supplied_name "Shimadzu TOC-V";
    String instruments_3_acronym "FIA";
    String instruments_3_dataset_instrument_description "Used to analyze DIN";
    String instruments_3_dataset_instrument_nid "711857";
    String instruments_3_description "An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB36/";
    String instruments_3_instrument_name "Flow Injection Analyzer";
    String instruments_3_instrument_nid "657";
    String instruments_3_supplied_name "Lachat Quick-Chem 8000 Flow injection analyzer";
    String instruments_4_dataset_instrument_description "Used to analyze 13C, 15N, and C/N";
    String instruments_4_dataset_instrument_nid "711859";
    String instruments_4_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_4_instrument_name "Elemental Analyzer";
    String instruments_4_instrument_nid "546339";
    String instruments_4_supplied_name "Carlo Erba CHNS-O EA1108-elemental analyzer interfaced via a ConFlo III device";
    String keywords "age, anomaly, bco, bco-dmo, biological, c14, C14_age, C14_stdev, C_N_a, C_N_a_stdev, cams, CAMS_UCI_num, chemical, climate, collected, commerce, d13, d13C, d13C_stdev, d14, d14c, D14c_stdev, d15, d15N, d15N_stdev, data, dataset, date, department, depth, depth2, deviation, dmo, doc, DOC_stdev, don, DON_stdev, erddap, Fm_stdev, forecast, loading, management, monitoring, num, oceanography, office, percent, Percent_Recovery_C, Percent_Recovery_N, preliminary, recovery, sample, Sample_Type, spe, SPE_Loading, standard, standard deviation, stdev, system, time, type, uci, volume";
    String license "https://www.bco-dmo.org/dataset/711831/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/711831";
    String param_mapping "{'711831': {'Depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/711831/parameters";
    String people_0_affiliation "University of California-Santa Cruz";
    String people_0_affiliation_acronym "UC Santa Cruz";
    String people_0_person_name "Matthew D. McCarthy";
    String people_0_person_nid "557245";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Cruz";
    String people_1_affiliation_acronym "UC Santa Cruz";
    String people_1_person_name "Thomas Guilderson";
    String people_1_person_nid "51494";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Cruz";
    String people_2_affiliation_acronym "UC Santa Cruz";
    String people_2_person_name "Matthew D. McCarthy";
    String people_2_person_nid "557245";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "DON Microbial Nitrogen Pump";
    String projects_0_acronym "DON Microbial Nitrogen Pump";
    String projects_0_description 
"Dissolved organic nitrogen is one of the most important - but perhaps least understood - components of the modern ocean nitrogen cycle. While dissolved organic nitrogen represents a main active reservoir of fixed and seemingly biologically-available nitrogen, at the same time most of ocean's dissolved organic nitrogen pool is also apparently unavailable for use by organisms. Recently, the idea of the \"Microbial Carbon Pump\" has emerged, providing a renewed focus on microbes as primary agents for the formation of biologically-available dissolved material. However, the role that microbes play in transformation of biologically-available dissolved organic nitrogen is still lacking. In order to fill gaps in this knowledge, researchers from the University of California Santa Cruz will apply a series of new analytical approaches to test the role of microbial source and transformation in formation of the ocean's biologically-available dissolved organic nitrogen pool. Results from this study will address one of the major unknowns of both chemical oceanography and the ocean nitrogen cycle.
Broader Impacts:
This proposal will provide oceanographers new tools to test ideas of microbial organic matter sequestration in a world where the oceans are rapidly changing. High school, undergraduate, graduate and post-doctoral education will be furthered through active participation in lab, field, and data synthesis activities.";
    String projects_0_end_date "2017-03";
    String projects_0_geolocation "North Pacific Subtropical Gyre (HOT station), North Atlantic Subtropical Gyre (BATS time series station), California Margin";
    String projects_0_name "The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool";
    String projects_0_project_nid "701744";
    String projects_0_start_date "2014-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This version of this dataset has been deprecated and replaced by multiple datasets. Please use the new datasets, which have the following DOIs and metadata landing pages:\\r\\n10.26008/1912/bco-dmo.811368.1 (https://www.bco-dmo.org/dataset/811368); 10.26008/1912/bco-dmo.811204.1 (https://www.bco-dmo.org/dataset/811204); 10.26008/1912/bco-dmo.811580.1 (https://www.bco-dmo.org/dataset/811580); 10.26008/1912/bco-dmo.811547.1 (https://www.bco-dmo.org/dataset/811547); 10.26008/1912/bco-dmo.811503.1 (https://www.bco-dmo.org/dataset/811503); 10.26008/1912/bco-dmo.811458.1 (https://www.bco-dmo.org/dataset/811458).\\r\\n\\r\\nThis dataset contains: Recovery parameters, isotopic composition (d15N, d13C, D14C), and elemental composition (C:N) of HMW and LMW DOM collected from the North Pacific Subtropical Gyre.";
    String title "[DEPRECATED] Recovery parameters, isotopic composition, and elemental composition of HMW and LMW DOM collected in the North Pacific Subtropical Gyre on R/V Kilo Moana (KM1506, KM1515) during 2015";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.4-alpha";


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
For example,
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

ERDDAP, Version 2.02
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