BCO-DMO ERDDAP
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Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String Sample Collection  \n Samples were collected on two separate research cruises aboard the R/V Kilo\nMoana in August 2014 and May 2015. Sampling was conducted at the Hawaii Ocean\nTime Series Station ALOHA (A Long-Term Oligotrophic Habitat Assessment;\n22\\u00b0 45'N, 158\\u00b0 00'W) and the Bermuda Atlantic Time Series Site\n(BATS; 31\\u00b0 40'N, 64\\u00b0 10'W) in the Central North Atlantic.\n \nSurface water was sampled via the vessel's underway sampling system. The\nintake pipe is situated on the forward starboard hull section of the vessel\napproximately 7.5 m below the waterline. The laboratory seawater tap was\nallowed to flush for 2 hours prior to each sampling. Seawater was pre-filtered\nthrough 53 \\u00b5m Nitex mesh, and pumped through a 0.2 \\u00b5m\npolyethersulfone (PES) cartridge filter (Shelco Filters, Micro Vantage, water\ngrade, 9.75\\\" DOE, polycarbonate housing) prior to introduction to the\nultrafiltration system. Large volume subsurface water samples were collected\nusing successive casts of a rosette equipped with 24 x 12 L Niskin bottles.\n \nTangential-Flow Ultrafiltration  \n The main UF system was constructed using a modified design of the system\ndescribed in Roland et al. (2009), and expanded on by Walker et al. (2011).\nBriefly, the system was comprised of four-spiral wound PES UF membranes,\nhaving a nominal molecular weight cut off of 2.5 kD (GE Osmonics GH2540F30,\n40-inch long, 2.5-inch diameter). The membranes were mounted in stainless\nsteel housings, plumbed in parallel to a 100 L fluorinated HDPE reservoir,\nwith flow driven by a 1.5 HP stainless steel centrifugal pump (Goulds Pumps,\nStainless steel centrifugal pump, NPE series 1 x 1-1/4 -6, close coupled to a\n1-1/2 horsepower, 3500 RPM, 60 Hz, 3 phase, Open Drip Proof Motor; 5.75 Inch\nImpeller Diameter, Standard Viton Mechanical Seals). All other system plumbing\ncomponents contacting seawater were composed of polytetrafluoroethylene (PTFE)\nor stainless steel.\n \nThe system was run continuously at a membrane pressure of 40-50 psi, resulting\nin permeation flow rates of 1-2 L/min, depending primarily on the temperature\nof the feed seawater. Sample water was fed into the system using peristaltic\npumps and platinum cured silicone tubing at a flow rate matched to the system\npermeation rates to ensure a constant system volume of approximately 100 L.\n \nSeawater samples of 3000-4000 L were concentrated to a final retentate volume\nof 15-20 L, drained from the system into acid washed PC carboys and\nrefrigerated (less than 12 hours at 2C) until the next phase of processing.\nSamples requiring storage for longer than 12 hours were frozen and stored at\n-20\\u00b0C. The UF system was then reconfigured to a smaller volume system,\nconsisting of a single membrane having a smaller nominal molecular weight\ncutoff (GE Osmonics GE2540F30, 40-inch long, 2.5-inch diameter, 1 kD MWCO),\nand a 2.5 L PES reservoir for further volume reduction and subsequent salt\nremoval (diafiltration). Using this smaller system, samples were reduced to\n2-3 L under lower pressure (25 psi, permeation rate = 250 mL/min). Samples\nwere then diafiltered using 40 L of 18.2 M\\u03a9 Milli-Q (ultrapure) water,\nadding water to the sample retentate reservoir at the same rate of membrane\npermeation. Reduced and diafiltered samples were stored in acid washed PC\nbottles at -20\\u00b0C for transport. In the laboratory, samples were further\nconcentrated by rotary evaporation using pre-combusted glassware (450 \\u00b0C,\n5 h). A molecular sieve and a liquid nitrogen trap were placed between the\nvacuum pump and rotovap chamber to ensure no contamination of isolated\nmaterial by back streaming of hydrocarbons or other contaminants. After\nreduction to 50-100 mL, samples were dried to powder via centrifugal\nevaporation in PTFE centrifuge tubes. Dry material was homogenized with an\nethanol cleaned agate mortar and pestle, transferred to pre-combusted glass\nvials, and stored in a desiccation cabinet until subsequent analyses.\n \nSolid Phase Extraction  \n Solid phase extraction was conducted using PPL sorbent (Agilent Bondesil\nPPL, 125 \\u00b5m particle size, part # 5982-0026) following the general\nrecommendations of Dittmar et al. (2008) and Green et al. (2014), including\nloading rates, seawater to sorbent ratios, and elution volumes and rates.\nBetween 300 and 500 g of sorbent was used for each extraction, depending on\nsample volume and DOC concentration, with average loading of 4.2 \\u00b1 1.5 L\nUF permeate per g sorbent representing 1.9 \\u00b1 0.6 mg DOC per g sorbent or\na DOC to sorbent mass ratio of 1:600 \\u00b1 200. This is in line with both the\nrecommendations of Dittmar et al. (2008) (maximum loading = 10 L seawater per\ng sorbent) and Li et al. (2016) (DOC to sorbent ratio = 1:800). Permeate from\nthe UF system was fed through PTFE tubing to a pair of 200 L HDPE barrels. The\npermeate water was then acidified in 200 L batches to pH 2 by adding 400 mL of\n6 M HCl (Fisher Chemical, ACS Plus grade). Batch samples were mixed\ncontinuously during collection, acidification, and loading using a peristaltic\npump and platinum cured Si and PTFE tubing positioned at the surface and\nbottom of each barrel. Acidified batches of seawater permeate were then pumped\nthrough the SPE sorbent. SPE flow rates were matched to UF permeation rates\n(1-2 L/min), such that a pair of 200 L barrels allowed one barrel to be filled\nwhile the contents of the other was passed through the sorbent.\n \nThree custom SPE column configurations were used to contain the sorbent\nmaterial. The column configuration was modified several times for ease of use\non subsequent cruises. First, an open, gravity fed, large (49 mm ID x 1000 mm\nlength, 1875 mL volume) glass chromatography column with 40 \\u00b5m fritted\ndisk and PTFE stopcock (Kimble-Chase, Kontes) was used. Next, we tested a\ncustom built high-pressure SS housing (10 cm ID x 3.5 cm bed height), and\nfinally a parallel combination of 2 medium-pressure glass chromatography\ncolumns (Kimble-Chase, Kontes, Chromaflex LC, 4.8 mm ID x 30 cm, 543 mL\nvolume). While all designs proved to be functionally equivalent, the latter\nparallel combination of 2 medium-pressure glass columns ultimately provided\nthe best configuration in order to maximize flow rates while simultaneously\noptimizing the ratio of sorbent bed height to loading speed. Further, the\ncommercial availability and ease of use associated with this configuration\nmade it our preferred design.\n \nFollowing sample loading, the SPE sorbent was desalted with 6 L of pH 2\nultrapure water at a low flow rate (250-300 mL/min). After desalting, the SPE\nsorbent was transferred to a glass chromatography column (75 mm ID x 300 mm\nlength, 40 \\u00b5m fritted disk, PTFE stopcock) with ultrapure water rinses to\nensure quantitative transfer. Isolated organic material was then eluted from\nthe sorbent with five to six 500 mL additions of methanol. The eluted methanol\nsolution was stored in pre-combusted amber glass bottles at -20\\u00b0C for\ntransport. Similar to UF samples, the methanol-eluted solutions were first\nreduced by rotary evaporation to 50-100 mL. Samples were then dried to powder\nvia centrifugal evaporation in PTFE centrifuge tubes. Dry material was\nhomogenized with an ethanol cleaned agate mortar and pestle, transferred to\npre-combusted glass vials, and stored in a desiccation cabinet until elemental\nand isotopic analyses.\n \nTotal DOM  \n Subsamples for dissolved organic carbon (DOC) and total dissolved nitrogen\n(TDN) concentration measurements were collected into pre-combusted 40 mL\nborosilicate glass vials following 0.2 \\u00b5m-filtration. Samples were stored\nat -20\\u00b0C until analysis. Subsamples for [DOC] and [TDN] were also taken\nfrom the UF system permeate to evaluate mass balance. An \\\"integrated\\\"\npermeate sample (e.g., Benner et al., 1997) was prepared by sampling and\ncombining equal volumes (100 mL) collected at constant time intervals\nthroughout the ultrafiltration. DOC and TDN concentration measurements were\nmade using the high temperature oxidation method with a Shimadzu TOC-V in the\nCarlson lab at UCSB\n([https://labs.eemb.ucsb.edu/carlson/craig/services](\\\\\"https://labs.eemb.ucsb.edu/carlson/craig/services\\\\\")).\nDOC concentration measurement errors represent the standard deviation of n=3\nreplicate measurements. Total DON concentrations were determined by\nsubtracting the sum of dissolved inorganic nitrogen (DIN) species (nitrate,\nnitrite, ammonia) from TDN. DIN concentrations were determined using a Lachat\nQuickChem 8000 Flow Injection Analyzer. Ammonia concentrations were below the\nlimit of quantification (0.36 \\u00b5M) for all samples using QuickChem\\u00ae\nMethod 31-107-06-1-B. Nitrate and nitrite concentrations were measured as the\nsum of the two analytes using QuickChem\\u00ae Method 31-107-04-1-C. The limit\nof detection for [NO3+NO2] using this method was 0.5 \\u00b5M and the average\nprecision of replicate standard measurements was \\u00b1 1.4 \\u00b5M. In the\ncase of [DON], measurement errors represent the propagated analytical\nuncertainty from the subtraction of [DIN] from [TDN]. DOC concentrations\nmeasurements were also determined via UV oxidation, cryogenic purification and\nmanometric determination at UC Irvine.
attribute NC_GLOBAL awards_0_award_nid String 701743
attribute NC_GLOBAL awards_0_award_number String OCE-1358041
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1358041 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Henrietta N Edmonds
attribute NC_GLOBAL awards_0_program_manager_nid String 51517
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String HMW and LMW DOC Recovery Parameters \n  PI: Matthew McCarthy (UC Santa Cruz) \n  Co-PI: Thomas Guilderson (UC Santa Cruz) \n  Version date: 14 May 2020
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3  19 Dec 2019
attribute NC_GLOBAL dataset_current_state String Final and no updates
attribute NC_GLOBAL date_created String 2020-05-14T19:16:48Z
attribute NC_GLOBAL date_modified String 2020-05-20T16:05:03Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.811580.1
attribute NC_GLOBAL geospatial_vertical_max double 2500.0
attribute NC_GLOBAL geospatial_vertical_min double 2.0
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/811580 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Niskin bottle
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 811591
attribute NC_GLOBAL instruments_0_description String 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.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Niskin bottle
attribute NC_GLOBAL instruments_0_instrument_nid String 413
attribute NC_GLOBAL instruments_0_supplied_name String rosette equipped with 24 x 12 L Niskin bottles
attribute NC_GLOBAL instruments_1_acronym String Pump-Ship Intake
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 811590
attribute NC_GLOBAL instruments_1_description String The 'Pump-underway ship intake' system indicates that samples are from the ship's clean water intake pump. This is essentially a surface water sample from a source of uncontaminated near-surface (commonly 3 to 7 m) seawater that can be pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the underway supply that may also be referred to as the non-toxic supply. Ideally the data contributor has specified the depth in the ship's hull at which the pump is mounted.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/31/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Pump - Surface Underway Ship Intake
attribute NC_GLOBAL instruments_1_instrument_nid String 534
attribute NC_GLOBAL instruments_1_supplied_name String underway sampling system
attribute NC_GLOBAL instruments_2_acronym String Shimadzu TOC-V
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 811596
attribute NC_GLOBAL instruments_2_description String A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String http://onto.nerc.ac.uk/CAST/124 (external link)
attribute NC_GLOBAL instruments_2_instrument_name String Shimadzu TOC-V Analyzer
attribute NC_GLOBAL instruments_2_instrument_nid String 603
attribute NC_GLOBAL instruments_2_supplied_name String Shimadzu TOC-V
attribute NC_GLOBAL instruments_3_acronym String FIA
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 811595
attribute NC_GLOBAL instruments_3_description String 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.
attribute NC_GLOBAL instruments_3_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB36/ (external link)
attribute NC_GLOBAL instruments_3_instrument_name String Flow Injection Analyzer
attribute NC_GLOBAL instruments_3_instrument_nid String 657
attribute NC_GLOBAL instruments_3_supplied_name String Lachat QuickChem 8000 Flow Injection Analyzer
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, climate, data, dataset, depth, dmo, erddap, forecast, liter, management, mgC, mgN, oceanography, office, pcnt, pcnt_C, pcnt_N, per, preliminary, sample, sample_type, season, total, total_mg, type, umol, umol_C_per_liter, umol_N_per_liter, volume, year
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/811580/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/811580 (external link)
attribute NC_GLOBAL param_mapping String {'811580': {'depth': 'flag - depth'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/811580/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Santa Cruz
attribute NC_GLOBAL people_0_affiliation_acronym String UC Santa Cruz
attribute NC_GLOBAL people_0_person_name String Matthew D. McCarthy
attribute NC_GLOBAL people_0_person_nid String 557245
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of California-Santa Cruz
attribute NC_GLOBAL people_1_affiliation_acronym String UC Santa Cruz
attribute NC_GLOBAL people_1_person_name String Thomas Guilderson
attribute NC_GLOBAL people_1_person_nid String 51494
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Shannon Rauch
attribute NC_GLOBAL people_2_person_nid String 51498
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String DON Microbial Nitrogen Pump
attribute NC_GLOBAL projects_0_acronym String DON Microbial Nitrogen Pump
attribute NC_GLOBAL projects_0_description String 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.\nBroader Impacts:\nThis 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.
attribute NC_GLOBAL projects_0_end_date String 2017-03
attribute NC_GLOBAL projects_0_geolocation String North Pacific Subtropical Gyre (HOT station), North Atlantic Subtropical Gyre (BATS time series station), California Margin
attribute NC_GLOBAL projects_0_name String The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool
attribute NC_GLOBAL projects_0_project_nid String 701744
attribute NC_GLOBAL projects_0_start_date String 2014-04
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String HMW and LMW DOC recovery parameters from waters collected from the North Pacific Subtropical Gyre and Central North Atlantic. These data were published in Broek et al. (2019) and Broek et al. (2017).
attribute NC_GLOBAL title String HMW and LMW DOC recovery parameters from waters collected from the North Pacific Subtropical Gyre and Central North Atlantic
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5
variable location String
attribute location bcodmo_name String site
attribute location description String Sample collection location. HOT = Hawaii Ocean Time Series station ALOHA (22° 45'N, 158° 00'W) in North Pacific Subtropical Gyre (NPSG); BATS = Hawaii Ocean Time Series station ALOHA (22° 45'N, 158° 00'W) in North Pacific Subtropical Gyre (NPSG)
attribute location long_name String Location
attribute location units String unitless
variable year short
attribute year _FillValue short 32767
attribute year actual_range short 2014, 2016
attribute year bcodmo_name String year
attribute year description String Year of sample collection; format: YYYY
attribute year long_name String Year
attribute year nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ (external link)
attribute year units String unitless
variable season String
attribute season bcodmo_name String season
attribute season description String Season of sample collection
attribute season long_name String Season
attribute season units String unitless
variable sample_type String
attribute sample_type bcodmo_name String sample_type
attribute sample_type description String DOM Fraction
attribute sample_type long_name String Sample Type
attribute sample_type units String unitless
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 2.0, 2500.0
attribute depth axis String Z
attribute depth bcodmo_name String depth
attribute depth colorBarMaximum double 8000.0
attribute depth colorBarMinimum double -8000.0
attribute depth colorBarPalette String TopographyDepth
attribute depth description String Sample depth
attribute depth ioos_category String Location
attribute depth long_name String Depth
attribute depth nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable volume float
attribute volume _FillValue float NaN
attribute volume actual_range float 20.0, 4300.0
attribute volume bcodmo_name String sample_volume
attribute volume description String Water volume processed
attribute volume long_name String Volume
attribute volume units String liters (L)
variable CF float
attribute CF _FillValue float NaN
attribute CF actual_range float 0.4, 1433.0
attribute CF bcodmo_name String weight
attribute CF description String UF Concentration Factor
attribute CF long_name String CF
attribute CF units String unitless
variable total_mg short
attribute total_mg _FillValue short 32767
attribute total_mg actual_range short 10, 2240
attribute total_mg bcodmo_name String sample
attribute total_mg description String Total recovered
attribute total_mg long_name String Total Mg
attribute total_mg nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ (external link)
attribute total_mg units String milligrams (mg)
variable mgC short
attribute mgC _FillValue short 32767
attribute mgC actual_range short 2, 548
attribute mgC bcodmo_name String C
attribute mgC description String Milligrams carbon
attribute mgC long_name String MG C
attribute mgC units String milligrams (mg)
variable umol_C_per_liter float
attribute umol_C_per_liter _FillValue float NaN
attribute umol_C_per_liter actual_range float 2.5, 36.3
attribute umol_C_per_liter bcodmo_name String C
attribute umol_C_per_liter description String Carbon concentration
attribute umol_C_per_liter long_name String Umol C Per Liter
attribute umol_C_per_liter units String micromoles C per liter
variable pcnt_C byte
attribute pcnt_C _FillValue byte 127
attribute pcnt_C actual_range byte 6, 48
attribute pcnt_C bcodmo_name String C
attribute pcnt_C description String Percent carbon
attribute pcnt_C long_name String PCNT C
attribute pcnt_C units String unitless (percent)
variable mgN float
attribute mgN _FillValue float NaN
attribute mgN actual_range float 0.1, 50.0
attribute mgN bcodmo_name String N
attribute mgN description String Milligrams nitrogen
attribute mgN long_name String MG N
attribute mgN units String milligrams (mg)
variable umol_N_per_liter float
attribute umol_N_per_liter _FillValue float NaN
attribute umol_N_per_liter actual_range float 0.2, 1.7
attribute umol_N_per_liter bcodmo_name String N
attribute umol_N_per_liter description String Nitrogen concentration
attribute umol_N_per_liter long_name String Umol N Per Liter
attribute umol_N_per_liter units String micromoles N per liter
variable pcnt_N byte
attribute pcnt_N _FillValue byte 127
attribute pcnt_N actual_range byte 6, 42
attribute pcnt_N bcodmo_name String N
attribute pcnt_N description String Percent nitrogen
attribute pcnt_N long_name String PCNT N
attribute pcnt_N units String unitless (percent)

 
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