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:Tb95,

To isolate major carbon and sulfur pools, a ~1 g aliquot of the freeze dried sample from each sediment interval was subjected to two sequential microwave extractions (MARS-6, CEM, 70°C for 15 minutes) using a 9:1 dichloromethane: methanol solution to isolate lipids and elemental S. Solvent-extracted solids were rinsed with 0.7N NaCl solution, ultra-pure water, freeze dried and then acid fumigated to remove carbonates for 12 hrs with a 6N HCl solution. A 500-mg subsample of the same microwave-extracted solid residue was then subjected to a strong acid hydrolysis (6N HCl, 60°C, 2 hrs) to extract acid-volatile sulfur (AVS, operationally defined as iron monosulfides) following Canfield et al. 1986 and Raven et al. 2019b. The remaining solid residue underwent a chromium (II) chloride extraction at 60°C for 2 hours to isolate chromium reducible sulfur (CRS, operationally defined as pyrite) following Canfield et al. 1986. The leftover solid residue following the CRS extraction contains highly hydrolysis-resistant OM that we refer to as protokerogen (Burdige 2007; Raven et al. 2019b).

Subsamples of primary producer biomass (n=9) from CSMR (Ulva spp., Juamea carnosa, and Salicornia pacifica) underwent two separate chemical extractions in order to isolate important carbon and sulfur pools for x-ray absorbance spectroscopy (XAS). Briefly, ~1 g of each rinsed and freeze-dried biomass type underwent an acid hydrolysis with 1N hydrochloric acid for 2 hours at room temperature to ensure the removal of sulfate from the biomass.

The oxidation state and bonding environment of organic sulfur (OS) in both strongly acid-hydrolyzed (post-CRS extraction, which we refer to as protokerogen) sediments and mild acid-hydrolyzed (1N acid hydrolysis discussed above) whole biomass samples were characterized using synchrotron x-ray absorption spectroscopy (XAS). Sulfur K-edge XAS spectra were obtained at the Stanford Synchrotron Radiation Lightsource (SSRL) on beam line 14–3 using a spot size of 0.5 mm2 and a Si(111) (Φ = 90) double crystal monochromator calibrated to the thiol pre-edge peak of thiosulfate at 2472.02 eV. For analysis, samples were adhered onto Saint Gobain M60 S-free polyester tape and covered with 5 µm SPEX 3520 polypropylene XRF film. Spectra were averaged and normalized in the SIXPACK (Webb 2005) software package using a K-edge E0 of 2473 and pre-edge and post-edge linear normalization ranges of -20 to -7 and 35 to 70 eV, respectively. The relative abundance (%) of individual sulfur species were determined in sediments and biomass samples using least squares fitting and a set of OS standards (Raven et al. 2021a). The relative abundances of different sulfur species were then used to determine the percentage of reduced (disulfide, monosulfide, aromatic) and oxidized (sulfoxide, sulfone/sulfonate, sulfate ester) sulfur in slightly acid hydrolyzed biomass and strongly acidified sediment.

1b:T46e,Here we provide data that help to evaluate organic matter sulfurization and pyrite formation in a salt marsh in California. We collected six sediment cores from three habitat types at Carpinteria Salt Marsh Reserve (34.41336°N, 119.84365°W) in July 2020. One core was used to establish dry bulk density, while the other was reserved for geochemical measurements. Both cores were kept at -20°C until analysis could be carried out. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of important carbon, iron and sulfur sediment pools. Additional biomass samples were collected between 2020 and 2023 and were also analyzed for elemental (C/N/S) and isotopic compositions (δ13C, δ34S). Data will be useful for those interested in assessing organic matter sulfurization and pyrite formation in blue carbon ecosystems such as mangroves, seagrass meadows and salt marshes. Data will also be informative for researchers investigating organic and inorganic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.1c:Tca1,NSF Award Abstract: Mangrove forest sediments are important hotspots of organic carbon preservation, and they have the potential to sequester substantial amounts of atmospheric CO2. Currently, however, is it not fully understood why these environments are able to bury so much organic carbon, or how they will respond to future changes in sea level, land use, and climate. This project will investigate a mechanism that may help explain this carbon burial: organic matter sulfurization, the transformation and effective ‘pickling’ of sedimentary organic matter by sulfide. Its central aim is to understand what controls the extent of sulfurization in mangrove sediments, and to estimate the contribution of organic matter sulfurization to sediment carbon storage in different parts of the environment. By providing some of the first constraints on how, when, and where organic matter sulfurization happens in mangroves, the results of this work will guide decisionmakers managing coastal watersheds and carbon stocks in the face of land use, climate and sea level change. As part of this work, four undergraduate students and one PhD student at UC Santa Barbara will gain field and research experience. And, in collaboration with local groups associated with the field site, the team will produce a season of ‘Ocean Solutions’ podcast episodes related to conservation and human impacts of Caribbean mangroves. The overarching goal of this project is to understand how microbial sulfur cycling affects organic matter preservation in vegetated coastal sediments, which have substantial leverage to impact the global carbon cycle on decadal to millennial timescales. It specifically investigates organic matter sulfurization, which can transform fresh, easily respired organic matter into recalcitrant, polymerized carbon stocks with long-term preservation potential. Although organic matter sulfurization is known to occur in mangrove sediments, the scale of its impact is essentially unknown. A pair of field expeditions will be conducted at a mangrove forest on the southwestern coast of Florida. In the first field season, geochemical profiles will be used to quantify organic matter sulfurization in sediments and its relationships with carbon storage, iron mineralogy, and the characteristics of sedimentary organic matter inputs. In the second field season, cyclic voltammetry will be used to target redox dynamics at the millimeter scale. Laboratory experiments will be conducted to test the susceptibility of various local organic matter sources to sulfurization and characterize their sulfurized forms. Throughout, the project applies a holistic approach to sedimentary organic matter by characterizing the dissolved, lipid, protein/carbohydrate, and proto-kerogen pools with isotopic and spectroscopic techniques. This work will yield a first quantitative, mechanistic framework for predicting the extent of organic matter sulfurization in coastal vegetated habitats and its likely response to changes in ecology, land use, or sea level. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L19",null,{"dataset":{"_id":"938709","description":"","problem":"There is missing data for some measurements due to detection limits or sample mishandling.","acquisition":"

We collected six sediment cores from three habitat types at Carpinteria Salt Marsh Reserve (34.41336°N, 119.84365°W) in July 2020. One core was used to establish dry bulk density, while the other was reserved for geochemical measurements. Both cores were kept at -20°C until analysis could be carried out. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of important carbon, iron and sulfur sediment pools. Additional biomass samples were collected between 2020 and 2023 and were also analyzed for elemental (C/N/S) and isotopic compositions (δ13C, δ34S).

\n","processing":"$1a","bcodmoProcessing":"* Adjusted parameter names to comply with database requirements","title":"Elemental and isoptopic composition of sediment and biomass from the Carpinteria Salt March sampled in 2020 and 2021","nickname":"Carpinteria Salt Marsh Elemental and Isotope Composition Data for Sediment and Biomass","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2024-09-30T04:00:00.000Z","abstract":"$1b","citation":"Capece, L. R., Raven, M. R., Phillips, A., Webb, S., Gomes, M. (2024) Elemental and isoptopic composition of sediment and biomass from the Carpinteria Salt March sampled in 2020 and 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-09-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.938709.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.938709.1","versionDate":"2024-09-30","versionId":"1","year":"2024","title":"Elemental and isoptopic composition of sediment and biomass from the Carpinteria Salt March sampled in 2020 and 2021","authors":"Capece, L. R., Raven, M. R., Phillips, A., Webb, S., Gomes, M.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.938709.1","release_date":null,"field_dataset_location":"UC Carpinteria Salt Marsh Reserve located in Carpinteria, CA","temporal_extent":{"start":"2020-07-01T04:00:00.000Z","end":"2021-01-16T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1593576000","label":"2020-07-01"},"end":{"value":"1610773200","label":"2021-01-16"}},"spatial_extent":{"shape":"polygon","center":{"latitude":34.40190486782,"longitude":-119.53865453966},"wkt":"POLYGON ((-119.53929 34.40052, -119.53802 34.40052, -119.53802 34.40329, -119.53929 34.40329, -119.53929 34.40052))","north":34.40329,"east":-119.53802,"south":34.40052,"west":-119.53929},"dataset_type":["Other Field Results"],"keywords":["oceans"],"data_files":[{"id":"938986","title":"938709_v1_geochemistry.csv","url":"https://datadocs.bco-dmo.org/dataset/938709/file/6Yvr4VEH1V6Vpk/938709_v1_geochemistry.csv","showTableUrl":"https://www.bco-dmo.org/dataset/938709/data/view/938986","description":"Primary data file for dataset ID 938709, version 1","filename":"938709_v1_geochemistry.csv","bytesize":7949,"checksum":{"value":"81df47f4d868fe48b6993d69f76e4411","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"920985","name":"Morgan Reed Raven"},"performedAtOrganization":{"_id":"76","name":"University of California-Santa Barbara"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"938705","name":"Maya Gomes"},"performedAtOrganization":{"_id":"665365","name":"Johns Hopkins University"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"938702","name":"Samuel Webb"},"performedAtOrganization":{"_id":"133","name":"Stanford University"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"938697","name":"Lena R. 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The process uses high temperature and pressure, which results in the extraction taking less time and requiring less solvent, and possibly also giving better analyte recovery, than traditional methods that use less extreme conditions.","type_acronym":"ASE"},{"_id":"938767","name":"Elementar vario ISOTOPE select elemental analyzer interfaced to a Nu Horizon isotope ratio mass spectrometer","description":"Elementar vario ISOTOPE select elemental analyzer interfaced to a Nu Horizon isotope ratio mass spectrometer to measure CNS and δ13C","type_id":"546339","type_name":"Elemental Analyzer","type_desc":"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.","type_acronym":""},{"_id":"938766","name":"Metrosep A Supp 5-100/4.0 column and Metrohm 930 Compact IC Flex","description":"Metrosep A Supp 5-100/4.0 column and Metrohm 930 Compact IC Flex to measure CRS","type_id":"662","type_name":"Ion Chromatograph","type_desc":"Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. From: http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html","type_acronym":"Ion Chromatograph"},{"_id":"938768","name":"Thermo Scientific Delta V Plus Isotope Ratio Mass Spectrometer (IRMS) via Conflo IV","description":"Thermo Scientific Delta V Plus Isotope Ratio Mass Spectrometer (IRMS) via Conflo IV to measure δ34S","type_id":"469","type_name":"Isotope-ratio Mass Spectrometer","type_desc":"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).","type_acronym":"IR Mass Spec; IRMS"},{"_id":"938759","name":"Genesys 150 UV-Vis Spectrophotometer","description":"Genesys 150 UV-Vis Spectrophotometer to measure iron extracts","type_id":"707","type_name":"Spectrophotometer","type_desc":"An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.","type_acronym":"Spectrophotometer"}],"parameters":[{"_id":"938879","name":"collection_date","format":"%Y-%m-%d","frictionlessType":"date","description":"

sample collection date

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"938880","name":"latitude","format":"","frictionlessType":"number","description":"

latitude of sample location, 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":"938881","name":"longitude","format":"","frictionlessType":"number","description":"

longitude of sample location, 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":"938882","name":"type","format":"","frictionlessType":"string","description":"

sediment or type of biomass

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"938883","name":"location","format":"","frictionlessType":"string","description":"

where sample was taken

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

Sampling site identification.

"}},{"_id":"938884","name":"depth","format":"","frictionlessType":"integer","description":"

sampling 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":"938885","name":"depth_bin","format":"","frictionlessType":"string","description":"

depth description (surface, intermediate, deep)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"938886","name":"habitat","format":"","frictionlessType":"string","description":"

habitat description of sample (algal, veg, unveg)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"938887","name":"OC","format":"","frictionlessType":"number","description":"

organic carbon

","units":{"_id":"","name":"weight percent carbon (wt. %C)"},"type":{"_id":"707571","name":"C","description":"

Elemental carbon (C)

"}},{"_id":"938888","name":"CPK","format":"","frictionlessType":"number","description":"

protokerogen organic carbon

","units":{"_id":"","name":"weight percent carbon (wt. %C)"},"type":{"_id":"707571","name":"C","description":"

Elemental carbon (C)

"}},{"_id":"938889","name":"OS","format":"","frictionlessType":"number","description":"

C/N ratio total organic matter (mol/mol)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1186","name":"C_to_N","description":"

Carbon to Nitrogen ratio (C:N)

"}},{"_id":"938890","name":"SPK","format":"","frictionlessType":"number","description":"

C/N ratio protokerogen organic matter

","units":{"_id":"","name":"unitless"},"type":{"_id":"1186","name":"C_to_N","description":"

Carbon to Nitrogen ratio (C:N)

"}},{"_id":"938891","name":"CN","format":"","frictionlessType":"number","description":"

organic sulfur

","units":{"_id":"","name":"weight percent sulfur (wt. %S)"},"type":{"_id":"707578","name":"S","description":"

Sulfur (S)

"}},{"_id":"938892","name":"CNPK","format":"","frictionlessType":"number","description":"

protokerogen organic sulfur

","units":{"_id":"","name":"weight percent sulfur (wt. %S)"},"type":{"_id":"707578","name":"S","description":"

Sulfur (S)

"}},{"_id":"938893","name":"SC","format":"","frictionlessType":"number","description":"

S/C ratio ratio total organic matter (mol/mol)

","units":{"_id":"","name":"unitless"},"type":{"_id":"833208","name":"ratio","description":"

A ratio is the relative size of two quantities expressed as the quotient of one divided by the other. The numbers in a ratio may be quantities or measurements of any kind, such as counts, lengths, weights, or concentrations, for example. When two quantities are measured with the same unit, as is often the case, their ratio is a dimensionless number.

"}},{"_id":"938894","name":"SCPK","format":"","frictionlessType":"number","description":"

S/C ratio protokerogen organic matter

","units":{"_id":"","name":"unitless"},"type":{"_id":"833208","name":"ratio","description":"

"}},{"_id":"938895","name":"pyrite","format":"","frictionlessType":"number","description":"

concentration of pyrite measured as the CRS pool

","units":{"_id":"","name":"weight percent sulfur (wt. %S)"},"type":{"_id":"938856","name":"pyrite","description":"

The mineral pyrite, or iron pyrite is an iron sulfide with the chemical formula FeS2 (iron (II) disulfide).

"}},{"_id":"938896","name":"FeCRS","format":"","frictionlessType":"number","description":"

iron in the CRS pool

","units":{"_id":"","name":"weight percent iron (wt. %Fe)"},"type":{"_id":"1981","name":"Fe","description":"

Iron (Fe). Concentrations may be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"938897","name":"FeHR","format":"","frictionlessType":"number","description":"

iron in the CRS pool

","units":{"_id":"","name":"weight percent iron (wt. %Fe)"},"type":{"_id":"1981","name":"Fe","description":"

Iron (Fe). Concentrations may be reported in parts per million, nanomoles per liter, or other units. Refer to dataset metadata for units.

"}},{"_id":"938898","name":"d13C_OC","format":"","frictionlessType":"number","description":"

carbon isotope composition of organic carbon

","units":{"_id":"","name":"per mille (‰)"},"type":{"_id":"671305","name":"d13C","description":"

Delta 13C (d13C) is the ratio of stable isotopes 13C:12C, reported in parts per thousand (per mil, ‰).

"}},{"_id":"938899","name":"d13C_PK","format":"","frictionlessType":"number","description":"

carbon isotope composition of protokerogen organic carbon

","units":{"_id":"","name":"per mille (‰)"},"type":{"_id":"671305","name":"d13C","description":"

Delta 13C (d13C) is the ratio of stable isotopes 13C:12C, reported in parts per thousand (per mil, ‰).

"}},{"_id":"938900","name":"d34S_OS","format":"","frictionlessType":"number","description":"

sulfur isotope composition of organic sulfur

","units":{"_id":"","name":"per mille (‰)"},"type":{"_id":"707578","name":"S","description":"

Sulfur (S)

"}},{"_id":"938901","name":"d34S_PK","format":"","frictionlessType":"number","description":"

sulfur isotope composition of protokerogen organic sulfur

","units":{"_id":"","name":"per mille (‰)"},"type":{"_id":"707578","name":"S","description":"

Sulfur (S)

"}},{"_id":"938902","name":"d34S_pyrite","format":"","frictionlessType":"number","description":"

sulfur isotope composition of pyrite as CRS

","units":{"_id":"","name":"per mille (‰)"},"type":{"_id":"938856","name":"pyrite","description":"

The mineral pyrite, or iron pyrite is an iron sulfide with the chemical formula FeS2 (iron (II) disulfide).

"}},{"_id":"938903","name":"CH","format":"","frictionlessType":"number","description":"

calculated hydrolyzable organic carbon

","units":{"_id":"","name":"weight percent carbon (wt. %C)"},"type":{"_id":"707571","name":"C","description":"

Elemental carbon (C)

"}},{"_id":"938904","name":"offset","format":"","frictionlessType":"number","description":"

isotopic offset between d34S_pyrite and d34S_PK

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}}],"related_publications":[{"id":"938758","citation":"Burdige, D. J. (2007). Preservation of Organic Matter in Marine Sediments: Controls, Mechanisms, and an Imbalance in Sediment Organic Carbon Budgets? Chemical Reviews, 107(2), 467–485. https://doi.org/10.1021/cr050347q\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"814577","citation":"Canfield, D. E., Raiswell, R., Westrich, J. T., Reaves, C. M., & Berner, R. A. (1986). The use of chromium reduction in the analysis of reduced inorganic sulfur in sediments and shales. Chemical Geology, 54(1-2), 149–155. doi:10.1016/0009-2541(86)90078-1\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"938757","citation":"Fry, B., Silva, S. R., Kendall, C., & Anderson, R. K. (2002). Oxygen isotope corrections for online δ34S analysis. Rapid Communications in Mass Spectrometry, 16(9), 854–858. Portico. https://doi.org/10.1002/rcm.651\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"938756","citation":"Jeitner, T. M. (2014). Optimized ferrozine-based assay for dissolved iron. Analytical Biochemistry, 454, 36–37. https://doi.org/10.1016/j.ab.2014.02.026\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"938755","citation":"Phillips, A. A., Ulloa, I., Hyde, E., Agnich, J., Sharpnack, L., O’Malley, K. G., Webb, S. M., Schreiner, K. M., Sheik, C. S., Katsev, S., & Raven, M. R. (2023). Organic sulfur from source to sink in low‐sulfate Lake Superior. Limnology and Oceanography, 68(12), 2716–2732. Portico. https://doi.org/10.1002/lno.12454\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"814579","citation":"Poulton, S. W., & Canfield, D. E. (2005). Development of a sequential extraction procedure for iron: implications for iron partitioning in continentally derived particulates. Chemical Geology, 214(3-4), 209–221. doi:10.1016/j.chemgeo.2004.09.003\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"938855","citation":"R Core Team (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. R version 4.2.2 (2022-10-31)","relation_type":["Software"],"relation_desc":""},{"id":"938754","citation":"Raven, M. R., Fike, D. A., Gomes, M. L., & Webb, S. M. (2019). Chemical and Isotopic Evidence for Organic Matter Sulfurization in Redox Gradients Around Mangrove Roots. Frontiers in Earth Science, 7. https://doi.org/10.3389/feart.2019.00098\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"787143","citation":"Stookey, L. L. (1970). Ferrozine---a new spectrophotometric reagent for iron. Analytical Chemistry, 42(7), 779–781. doi:10.1021/ac60289a016\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"746717","citation":"Webb, S. M. (2005). SIXPack a Graphical User Interface for XAS Analysis Using IFEFFIT. Physica Scripta, 1011. doi:10.1238/physica.topical.115a01011\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/938709/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/938709/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/938709/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/938709/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"936654","name":"Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization","acronym":"Mangroves OS","description":"$1c"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.938709.1","url":"https://doi.org/10.26008/1912/bco-dmo.938709.1","date_assigned":"2024-09-30","version_date":"2024-09-30","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"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":244},"downloads":{"count":348}}}}]