19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T2241,

As part of the VERTIGO project, Multiple Unit Large Volume in-situ Filtration System (MULVFS) sampling took place during two week-long intensive study periods at ALOHA (in 2004) and K2 (in 2005). This dataset includes data from ALOHA.

MULVFS was first described in Bishop et al., 1985. MULVFS consists of 12 ship-electricity powered pump units deployed simultaneously to kilometer depths using a dedicated (uniﬁed) 1000 m long electromechanical cable and winch system. MULVFS sample depths were 30, 55, 80, 105, 155, 205, 255, 330, 480, 575, 680, 770, and 880 m at ALOHA. The shallowest sample was always within the surface mixed layer. VERTIGO casts were timed to capture particles near local noon and midnight to investigate the effects of diurnal zooplankton migrations on particle distributions. At ALOHA, 3 day and 2 night casts were obtained.

Each pump unit can collect samples of particulate and dissolved species using three ﬂow paths. Check and gas release (de bubbler) valves protect ﬁlter samples from the effects of back ﬂow, contamination, and disruption due to trapped air on deployment and degassed air expansion on recovery. The later is a problem in shallow samples.

Depending on depth and particle concentration, 2000–16 000 L volumes of seawater are ﬁltered under a suction of ~0.8 atmospheres over 4–5 h through the main multi-stage (3 anti-washout bafﬂes and two ﬁlter stages) ﬁlter holder. The ﬁrst anti-washout bafﬂe is a heavy polyethylene plastic cover with incised 1 cm scale triangular ﬂaps centered over each of the 52 tubes of the second bafﬂe stage and was added to ensure particle retention under strong current shears.

The main ﬁlter series (with an effective ﬁltration diameter of 24.5 cm) consists of a 51 um polyester weave mesh preﬁlter supported by 149 um polyester mesh and 1.2 cm spaced 1.2 cm thick plastic grid in the preﬁlter stage, followed by two identical Whatman QMA quartz ﬁber ﬁlters supported by 149 um polyester mesh and 149 um porous polyethylene frit. All ﬁlters and components are acid cleaned. The three particle size fractions represented by preﬁlter and QMA ﬁlters are >51, 1–51, and <1 um. Fiber flters are 'depth' ﬁlters and particles are captured from the ﬂow by the ﬁbers, not pores. Thus a second ﬁlter captures additional small particles that pass through the ﬁrst (Bishop and Edmond, 1976). The "<1 um" fraction, thus represents some of particles in the larger submicron particle class (Bishop et al., 1977, 1985).

The second ﬂow path, with 500–2000 L water ﬂow capacity was used for separate multi-stage ﬁlter assemblies and in-line Mn radionuclide adsorption cartridges (Charette et al., 1999). Refer to the Supplemental Document "VERTIGO MULVFS Methods" for the ﬁlter assembly used by T. Trull (University of Tasmania, UTAS) The third ('side arm') ﬂow path was used for simultaneous attachment of up to six 47 mm ﬁlter holders or smaller absorbers. We used two for separate quantiﬁcation of >0.4 um Si and for >0.4 um Ba and Mn (Poretics Polycarbonate, 0.4 um, Osmonics, Inc.). About 30% of the time all side arm ﬁlter holders had a common 0.4 um filter and the volume was apportioned by number of samples collected. When different ﬁlters/adsorbers were used we estimated ﬂow through each type apportioned by ﬂows measured under suction aboard ship.

Blank samples (filters mounted on a non-operating pump and lowered to depth for the cast duration) were processed identically to all other samples.

Aboard ship, MULVFS samples were photographed under controlled lighting using a NIKON COOLPIX 5700 digital camera (Lam and Bishop, 2007) and processed in depth order within 2 hours of the end of cast. All work was performed in a class 100 laminar- flow bench; non-contaminating gloves, sub sampling templates, scalpels, and tweezers were used. QMA filters were sub sampled for up to six other investigators using sharpened acid leached ~45 mm diameter acrylic tubes; "pie slice" sub samples equivalent to 1/8 to 1/4 of each >51 um sample were cut using a stainless steel scalpel. When rare, larger zooplankton and small fish were removed from the MULVFS prefilter samples prior to sub sampling. The remaining sample was lightly "misted" with 15 mL of 18.2 MOhm Milli-Q water under weak suction (<10 cm Hg) to reduce salt loading, oven dried at 60°C for 1-2 days, and then stored flat in trace metal certified polyethylene bags.

The "Side Arm" 0.4 um filter samples were misted under mild vacuum with ~1.5 mL of Milli-Q water, and then transferred directly to acid leached 125 mL polyethylene bottles in which they were later analyzed. This eliminates fractionation of major sea salt components (e.g., Na from Ca).

Sample processing at Lawrence Berkeley National Laboratory (LBNL) was performed in a class-100 laminar flow fume hood in a class-10000 laboratory environment and followed Bishop et al., (1977, 1985). For analysis by Inductively Coupled Plasma Mass Spectrometer (ICP-MS), ~1/50th of each QMA filter was sub sampled following Bishop et al. (1985) and ~1/40th of each 51 um prefilter was cut using a stainless steel scalpel (guided by eye to avoid zooplankton) using a rectangular acrylic template with recessed center. Sub samples were transferred to separate 125 mL acid leached - dried Nalgene® polyethylene bottles, flooded with 10 mL of 0.6 N ultra pure HCl (Seastar Chemicals Baseline Acid), and heated at 60°C overnight (~16 hours). Each leach solution was filtered (0.4 um) and then diluted with 18.2 MOhm Milli-Q water to 50 grams weight. Solutions were further diluted (1:4) with Milli-Q water and treated with an indium spike (final In conc ~0.7 ppb) and then analyzed using a Finnigan Element II ICP-MS. Mixed element standards, and CASS III seawater, were prepared at multiple dilutions in the same 0.12 N HCl matrix. Elements determined were Li*, Na, Mg*, Al, P, K*, Ca*, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr*, Y, Cd, I, Cs, Ba, Tl, Pb, Bi, Ce, Nd, U*. Elements marked with asterisks (*) were corrected for sea salt components using Na (Bishop et al., 1977).

Groups from Woods Hole Oceanographic Institution (WHOI) and University of Tasmania (UTAS) were provided fresh filter sub samples for 234Th, C and N, and for Corg, N, δ13Corg, and δ15N, respectively. The >51 um material was rinsed from the polyester "pie slices" using 0.8 um filtered seawater onto 25 mm diameter 0.4 um silver filters, dried at 50 °C, and analyzed as described by Trull et al. (2008). A drying oven mishap resulted in loss of many of the QMA Corg samples from Cast M03 at ALOHA. The 234Th samples were air-dried after/during counting aboard ship and stored frozen in Petri dishes for later analysis for C and N at WHOI. QMA in-situ sample blanks (~3 mg C per 25.4 cm diameter filter) were applied to the data. The use of in-situ blanks compensates for adsorption of dissolved species onto filters during filtration (Turnewitsch et al., 2007).

WHOI Corg and N data for QMA samples from cast M07 and M08 were low by factors of two to three compared with UTAS results. The M08 sub samples analyzed at WHOI had sat wet for considerable time before CN analysis (John Andrews, notes) and the same problem must have impacted their M07 sub samples. Similar problems may have affected some ALOHA samples from Cast M04, which also were not oven dried. We report all data but use the WHOI Corg QMA data for ALOHA (M1, M2, M4, M5) and the UTAS (combined <1 and 1-51 um results) QMA Corg and N data for K2; The <1 um WHOI results were retained for casts M07, 09, and 10 for comparison purposes. All >51 um Corg samples at K2 and ALOHA were UTAS processed.

Notes from dataset file header:
# BISHOP 20070425_MULVFS RECALC PC PN data ALOHA - updated as of 20200227. Th data merged 20201105.
# CN Results Recalculated and Checked by Bishop.
# REFERENCE: Bishop, J.K.B.and Wood, T.J. (2008) Particulate Matter Chemistry and Dynamics in the Twilight Zone at VERTIGO ALOHA and K2 Sites. Deep-Sea Research I 55, 1684-1706.10.1016/j.dsr.2008.07.012

# QMA blanks C = 3073+/-262 ug and N = 547+/-135 for 25.4 cm diameter filter - all dipped blanks (averaged except for cast 3).
# Trull Filter data as calculated by Buesseler.

# gt51, 1-51, lt1 designations correspond to filtration order as water passes through a 51 um prefilter and paired QMA filters. A single QMA filter quantitatively captures particles >1.2 um; a pair of QMA filters traps particles to 0.8 um size.
# lt51 - sum of paired QMA filter data
#CAST 3 C and N data are suspect

1b:T432,

Quality Flag Definitions:
0 = sample is ok.
1 = 480 m cast 1 1-51 um fraction assume punch factor of 0.218.
2 = suspect samples were wet when stored CN anomlously high.
3 = samples may be mixed up.
4 = main MULVFS flow volume adjusted based on consistency with other analyses.
5 = CN anomalously low.
6 = sample not run.
23 = both 2 and 3.

BCO-DMO Processing history:
Version 1:
2008-07-07 - contributed by Jim Bishop.
2008-11-12 - Cruise_ID added manually; date, event, ev_code, lon, lat from cruise logs merged with original data.
2008-11-12 - added to OCB database; Steve Gegg, BCO DMO.

Version 2:
2020-11-30 - processed revised data contributed by Jim Bishop in November 2020; made the following edits:
- added locations and dates from separate locations file;
- renamed fields to conform with BCO-DMO naming conventions;
- removed duplicate columns;
- replaced missing data values with 'nd' ('no data').

1c:T1e7d,NSF Award Abstract: In this study, researchers at the Woods Hole Oceanographic Institution, Virginia Institute of Marine Science, University of California - Santa Cruz, University of California - Santa Barbara, University of Tasmania, and NIWA-Australia will work collaboratively to answer a difficult question in marine biogeochemistry: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? Knowing the efficiency of particle transport is important for an accurate assessment of the ocean carbon sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric carbon dioxide. The research team intends to test two basic hypotheses about remineralization control, namely: (1) particle source characteristics are the dominant control on the efficiency of particle transport; and/or that (2) mid-water processing, either by zooplankton or bacteria, controls transport efficiency. To do so, they will conduct process studies at sea focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Two sites will be studied extensively on three-week process study cruises: the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE). There are strong contrasts between these sites in rates of production, export, particle composition and expected remineralization length scales. Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute, but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements and to place the shipboard observations in the context of spatial and temporal variations in these processes Besides the obvious contributions to the study of the oceanic and planetary carbon cycles, there are broader outcomes and impacts forthcoming from this project. Graduate and undergraduate students will be included in all aspects of the research, and the involvement of non-US PIs will encourage exchange of students and post-docs between labs in different countries. In addition, the component groups will continue to maintain science web sites designed for both public and scientific exchange where the broader and specific goals and outcomes of this work can be communicated. Original PI-provided project description: The main goal of VERTIGO is the investigation of the mechanisms that control the efficiency of particle transport through the mesopelagic portion of the water column. Question: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? VERTIGO researchers have set out to test two basic hypotheses regarding remineralization control, namely: 1. particle source characteristics are the dominant control on the efficiency of particle transport; and/or that 2. mid-water processing, either by zooplankton or bacteria, controls transport efficiency. To test their hypotheses, they will conduct process studies in the field focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Three week process study cruises have been planned at two sites - the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE) - where there are strong contrasts in rates of production, export, particle composition and expected remineralization length scales. Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements, and to place the shipboard observations in the context of spatial and temporal variations in these processes. For rapid progress in this area, we have organized this effort as a group proposal taking advantage of expertise in the US and international community. The efficiency of particle transport is important for an accurate assessment of the ocean C sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric CO2. We maintain that to understand present day ocean C sequestration and to evaluate potential strategies for enhancing sequestration, we need to assess possible changes in the efficiency of particle transport due to climate variability or via purposeful manipulations of C uptake, such as via iron fertilization. VERTIGO Acknowledgments: (from K.O. Buesseler, et al / Deep-Sea Research II 55 (2008) 1522-1539) We thank the officers, crew and shore-based support teams for the R/V Kilo Moana (2004) and R/V Roger Revelle (2005). Funding for VERTIGO was provided primarily by research grants from the US National Science Foundation Programs in Chemical and Biological Oceanography (KOB, CHL, MWS, DKS, DAS). Additional US and non-US grants included: US Department of Energy, Office of Science, Biological and Environmental Research Program (JKBB); the Gordon and Betty Moore Foundation (DMK); the Australian Cooperative Research Centre program and Australian Antarctic Division (TWT); Chinese NSFC and MOST programs (NZJ); Research Foundation Flanders and Vrije Universiteit Brussel (FD, ME); JAMSTEC (MCH); New Zealand Public Good Science Foundation (PWB); and internal WHOI sources and a contribution from the John Aure and Cathryn Ann Hansen Buesseler Foundation (KOB). A number of individuals at sea and on shore, helped make the VERTIGO project a success, including: J. Andrews, C. Bertrand, R. Bidigare III, S. Bray, K. Casciotti, M. Charette, R. Condon, J. Cope, E. Fields, M. Gall, M. Gonneea, P. Henderson, T. Kobari, D. Kunz, S. Saitoh, S. Manganini, C. Moy, S. Okamoto, S. Pike, L. Robertson, D. Ruddick and Y. Zhang. Suggestions by three anonymous reviewers and help by the editor, R. Lampitt, are also greatly appreciated.6:["$","$L19",null,{"dataset":{"_id":"2951","description":"

As part of the VERTIGO project, Multiple Unit Large Volume in-situ Filtration System (MULVFS) sampling took place during two-week-long intensive study periods at ALOHA (in 2004) and K2 (in 2005). This dataset includes data from station ALOHA.

Final review by the data submitter was not received after it was imported into the BCO-DMO data system. Data have been published \"as is\".

Associated Publication:
\nBishop, J.K.B.and Wood, T.J. (2008) Particulate Matter Chemistry and Dynamics in the Twilight Zone at VERTIGO ALOHA and K2 Sites. Deep-Sea Research I 55, 1684-1706. doi: 10.1016/j.dsr.2008.07.012

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(2021) Multiple Unit Large Volume in-situ Filtration System (MULVFS) data from R/V Kilo Moana cruise KM0414 from the Hawaiian Islands, HOT Site (Station ALOHA) in 2004 (VERTIGO project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2020-11-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.2951.2 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.2951.2","versionDate":"2020-11-30","versionId":"2","year":"2021","title":"Multiple Unit Large Volume in-situ Filtration System (MULVFS) data from R/V Kilo Moana cruise KM0414 from the Hawaiian Islands, HOT Site (Station ALOHA) in 2004 (VERTIGO project)","authors":"Bishop, J. 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Bishop"},"performedAtOrganization":{"_id":"84","name":"E.O. Lawrence Berkeley"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"50637","name":"Cynthia L. Chandler"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"57847","name":"KM0414","synonyms":["ALOHA"],"dates":{"start":"2004-06-20T00:00:00.000Z","end":"2004-07-10T00:00:00.000Z"},"platform":{"_id":"54009","name":"R/V Kilo Moana"},"chiefScientists":[{"id":"50522","name":"Kenneth O. Buesseler","role":"Chief Scientist"}]}],"funding":[],"instruments":[{"_id":"832305","name":"MULVFS","description":"","type_id":"509","type_name":"Multiple Unit Large Volume Filtration System","type_desc":"The Multiple Unit Large Volume Filtration System (MULVFS) was first described in Bishop et al., 1985 (doi: 10.1021/ba-1985-0209.ch009). The MULVFS consists of multiple (commonly 12) specialized particulate matter pumps, mounted in a frame and tethered to the ship by a cable (Bishop et al., 1985; Bishop and Wood, 2008). The MULVFS filters particulates from large volumes of seawater, although the exact protocols followed will vary for each project.","type_acronym":"MULVFS"}],"parameters":[{"_id":"832308","name":"Location","format":"","frictionlessType":"string","description":"

Cruise location (ALOHA = station ALOHA)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1124","name":"site","description":"

Sampling site identification.

"}},{"_id":"832309","name":"cast","format":"","frictionlessType":"string","description":"

Cast number

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

cast or profile number

"}},{"_id":"832310","name":"Year","format":"","frictionlessType":"string","description":"

Year; format: YYYY

","units":{"_id":"","name":"unitless"},"type":{"_id":"1062","name":"year","description":"

year, reported as YYYY, e.g. 1995

"}},{"_id":"832311","name":"Start_Day","format":"","frictionlessType":"string","description":"

Julian day at start of sampling.

This description is an assumption made by BCO-DMO as no explicit definition was provided by the data submitter.

","units":{"_id":"","name":"unitless"},"type":{"_id":"866","name":"julian_day","description":"

Julian day as a decimal. Julian date which is the time elapsed in days from 00:00 on January 1st 4713 BC. Julian Date (chronological).

For reference: Julian day 2440000 begins at 0000 hours, May 23, 1968.

Please note, Seabird processing software includes a \"julianday\" which is day of year. That is categorized as a separate term \"yrday\" at BCO-DMO.
\nSeabird permalink: https://blog.seabird.com/ufaqs/in-sea-bird-software-is-noon-on-january-1-julian-day-0-5-or-julian-day-1-5/

"}},{"_id":"832312","name":"End_Day","format":"","frictionlessType":"string","description":"

Julian day at end of sampling.

This description is an assumption made by BCO-DMO as no explicit definition was provided by the data submitter.

","units":{"_id":"","name":"unitless"},"type":{"_id":"866","name":"julian_day","description":"

Julian day as a decimal. Julian date which is the time elapsed in days from 00:00 on January 1st 4713 BC. Julian Date (chronological).

For reference: Julian day 2440000 begins at 0000 hours, May 23, 1968.

"}},{"_id":"832313","name":"Day_Night","format":"","frictionlessType":"string","description":"

Indicates dat (D) or night (N)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1006","name":"time_of_day","description":"

reference to day or night observations

"}},{"_id":"832314","name":"Lat","format":"","frictionlessType":"string","description":"

Latitude

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

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

"}},{"_id":"832315","name":"Long","format":"","frictionlessType":"string","description":"

Longitude

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

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

"}},{"_id":"832316","name":"depth","format":"","frictionlessType":"string","description":"

Sample depth

","units":{"_id":"","name":"meters (m)"},"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":"832317","name":"liters","format":"","frictionlessType":"string","description":"

Liters of water filtered

","units":{"_id":"","name":"liters (L)"},"type":{"_id":"1040","name":"vol_filt","description":"

volume of water filtered; in this form generally applies to the volume of water filtered during plankton tows; however; this parameter name is also used for a variety of non plankton sampling and the units can vary, e.g. US JGOFS EqPac Bishop MULVFS sampler vol_filt is reported in liters.

"}},{"_id":"832318","name":"pump","format":"","frictionlessType":"string","description":"

MULVFS pump ID

","units":{"_id":"","name":"unitless"},"type":{"_id":"864","name":"instrument","description":"

instrument used to collect or process data, definition is specific to the data set in which it appears

"}},{"_id":"832319","name":"PIC_1_53_uM","format":"","frictionlessType":"string","description":"

Particulate Inorganic Carbon (PIC= Ca_measured - Na_measured*Ca/Na_seawater); particle size between 1 and 53um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1202","name":"PIC","description":"

particulate inorganic Carbon

"}},{"_id":"832320","name":"gt51_PIC_uM","format":"","frictionlessType":"string","description":"

Particulate Inorganic Carbon (PIC= Ca_measured - Na_measured*Ca/Na_seawater); particle size greater than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1202","name":"PIC","description":"

particulate inorganic Carbon

"}},{"_id":"832321","name":"TOT_PIC_uM","format":"","frictionlessType":"string","description":"

Total Particulate Inorganic Carbon (PIC= Ca_measured - Na_measured*Ca/Na_seawater)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1202","name":"PIC","description":"

particulate inorganic Carbon

"}},{"_id":"832322","name":"FRACTION_lt51_PIC","format":"","frictionlessType":"string","description":"

Fraction of PIC with particle size less than 51um

","units":{"_id":"","name":"unitless"},"type":{"_id":"1202","name":"PIC","description":"

particulate inorganic Carbon

"}},{"_id":"832323","name":"flag_lt1_PCPN","format":"","frictionlessType":"string","description":"

Quality flag for PC and PN with particle size less than 1um

","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

"}},{"_id":"832324","name":"lt1_PC_uM","format":"","frictionlessType":"string","description":"

Particulate Carbon (organic + inorganic); particle size less than 1um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1214","name":"TPC","description":"

total particulate Carbon

"}},{"_id":"832325","name":"lt1_PC_uM_sd","format":"","frictionlessType":"string","description":"

Standard deviation of lt1_PC_uM

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1214","name":"TPC","description":"

total particulate Carbon

"}},{"_id":"832326","name":"lt1_PN_uM","format":"","frictionlessType":"string","description":"

Particulate Nitrogen; particle size less than 1um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832327","name":"lt1_PN_uM_sd","format":"","frictionlessType":"string","description":"

Standard deviation of lt1_PN_uM

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832328","name":"flag_1_51_PCPN","format":"","frictionlessType":"string","description":"

Quality flag for PC and PN with particle size between 1 and 51um

","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

"}},{"_id":"832329","name":"PC_1_51_uM","format":"","frictionlessType":"string","description":"

Particulate Carbon (organic + inorganic); particle size between 1 and 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1214","name":"TPC","description":"

total particulate Carbon

"}},{"_id":"832330","name":"PC_1_51_uM_sd","format":"","frictionlessType":"string","description":"

Standard deviation of PC_1_51_uM

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1214","name":"TPC","description":"

total particulate Carbon

"}},{"_id":"832331","name":"PN_1_51_uM","format":"","frictionlessType":"string","description":"

Particulate Nitrogen; particle size between 1 and 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832332","name":"PN_1_51_uM_sd","format":"","frictionlessType":"string","description":"

Standard deviation of PN_1_51_uM

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832333","name":"POC_1_51_uM","format":"","frictionlessType":"string","description":"

Particulate Organic Carbon (POC = PC - PIC); particle size between 1 and 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832334","name":"lt51_POC","format":"","frictionlessType":"string","description":"

Particulate Organic Carbon (POC = PC - PIC); particle size less than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832335","name":"lt51_POC_sd","format":"","frictionlessType":"string","description":"

Standard deviation of lt51_POC

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832336","name":"lt51_PN","format":"","frictionlessType":"string","description":"

Particulate Nitrogen; particle size less than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832337","name":"lt51_PN_sd","format":"","frictionlessType":"string","description":"

Standard deviation of lt51_PN

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832338","name":"Trull_gt51_PC_uM","format":"","frictionlessType":"string","description":"

Particulate Carbon (organic + inorganic); particle size greater than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"1214","name":"TPC","description":"

total particulate Carbon

"}},{"_id":"832339","name":"Trull_gt51_PN_uM","format":"","frictionlessType":"string","description":"

Particulate Nitrogen; particle size greater than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"707573","name":"N","description":"

Nitrogen (N)

"}},{"_id":"832340","name":"Trull_gt51_POC_uM","format":"","frictionlessType":"string","description":"

Particulate Organic Carbon (POC = PC - PIC); particle size greater than 51um

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832341","name":"TPOC_uM","format":"","frictionlessType":"string","description":"

Total Particulate Organic Carbon (POC = PC - PIC)

","units":{"_id":"","name":"micromolar (uM)"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832342","name":"FRACTION_lt51_POC","format":"","frictionlessType":"string","description":"

Fraction of POC with particle size less than 51um

","units":{"_id":"","name":"unitless"},"type":{"_id":"934","name":"POC","description":"

Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"832343","name":"lt1_PP_pM","format":"","frictionlessType":"string","description":"

Particulate Phosphorus; particle size less than 1um

","units":{"_id":"","name":"picomolar (pM)"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832344","name":"PP_1_51_pM","format":"","frictionlessType":"string","description":"

Particulate Phosphorus; particle size between 1 and 51um

","units":{"_id":"","name":"picomolar (pM)"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832345","name":"gt_51_PP_pM","format":"","frictionlessType":"string","description":"

Particulate Phosphorus; particle size greater than 51um

","units":{"_id":"","name":"picomolar (pM)"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832346","name":"TOTAL_PP_pM","format":"","frictionlessType":"string","description":"

Total Particulate Phosphorus

","units":{"_id":"","name":"picomolar (pM)"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832347","name":"LT_51_P","format":"","frictionlessType":"string","description":"

Particulate Phosphorus; particle size less than 51um

","units":{"_id":"","name":"picomolar (pM)"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832348","name":"FRACTION_lt51_PP","format":"","frictionlessType":"string","description":"

Fraction of Particulate Phosphorus with particle size less than 51um

","units":{"_id":"","name":"unitless"},"type":{"_id":"1983","name":"P","description":"

P (Phosphorus). May be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"832349","name":"POC_PN_1_51","format":"","frictionlessType":"string","description":"

POC:PN ratio; particle size between 1 and 51um