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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | graph | files | public | [TP metals sediments with no pretreatment] - Total phosphorus and metal concentrations from sediment extracts from samples collected during cruises in the Arctic Ocean, California Margin, and Equatorial Pacific from 1992-1998 (A new marine sediment sample preparation scheme for solution 31P NMR analysis) | I M | background | BCO-DMO | bcodmo_dataset_805216 |
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 | Location: Arctic Ocean: P-1-94-AR P21, 84o5' N, 174o58' W California margin: W-2-98-NC TF1, 41o5' N, 125o1' W Equatorial Pacific: TT013-06MC, 12o00' S, 134o56' W Methodology: Solid sediment samples were transferred to two 50 mL centrifuge tubes (2 sample replicates combined per tube). We added 20 mL of 0.25 M NaOH + 0.05 M Na2EDTA solution to each tube, vortexed until all sediment was resuspended and then shook samples for 6 h at room temperature (Cade-Menun et al. 2005). We used a solid to solution ratio of 1:5 for this step to minimize the amount of freeze-dried material that will need to be dissolved for the 31P NMR experiments. Large amounts of salts from the NaOH-EDTA concentrated in NMR samples lead to higher viscosity and increase line broadening on NMR spectra (Cade-Menun and Liu 2013). We chose an extraction time of 6 h to improve total P recovery while limiting the degradation of natural P compounds in the sample. At the end of the extraction, samples were centrifuged at 3,700 rpm for 15 min and supernatants decanted into 50 mL centrifuge tubes. We collected a 500 \u03bcL aliquot from each sample, which we diluted with 4.5 mL of ultrapure water. These were refrigerated until analysis for total P content on the ICP-OES. The sample residues and supernatants were frozen on a slant to maximize the exposed surface area during the lyophilization step; this was done immediately after the removal of the 500 \u03bcL aliquot. Once completely frozen, the uncapped tubes containing supernatants and residues were freeze- dried over the course of 48 h. Each tube was covered with parafilm with small holes from a tack to minimize contamination. Freeze-dried supernatants from identical sample splits were combined and dissolved in 500 \u03bcL each of ultrapure water, D2O, NaOH-EDTA and 10 M NaOH prior to 31P NMR analysis. The D2O is required as signal lock in the spectrometer (Cade-Menun and Liu 2013). Sample pH was maintained at a pH > 12 to optimize peak separation (Cade-Menun 2005; Cade-Menun and Liu 2013). Sample pH was assessed with a glass electrode, and verified with pH paper to account for the alkaline error caused by the high salt content of our samples (Covington 1985). Total P and metal concentrations in sediment extracts were measured using inductively coupled plasma optical emission spectroscopy (ICP-OES). Standards were prepared with the same solutions as those used for the extraction procedure in order to minimize matrix effects on P measurements. Sediment extracts and standards (0 \u03bcM, 3.2 \u03bcM, 32 \u03bcM and 320 \u03bcM) were diluted to lower salt content to prevent salt buildup on the nebulizer. Concentration data from both wavelengths (213 nm and 214 nm) were averaged to obtain extract concentrations for each sample. The detection limit for P on this instrument for both wavelengths is 0.4 \u03bcM. Freeze-dried sample residues were ashed in crucibles at 550oC for 2 h and then extracted in 25 mL of 0.5 M sulfuric acid for 16 h (Olsen and Sommers 1982; Cade-Menun and Lavkulich 1997). We centrifuged samples at 3,700 rpm for 15 min, filtered supernatants with 0.4 \u03bcm polycarbonate filters, and measured P content on an ICP-OES. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 554980 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-0939564 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward?AWD_ID=0939564 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | TP metals sediments with no pretreatment PI: Adina Paytan Data Version 1: 2020-06-23 |
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/ |
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 | 2020-03-02T22:08:39Z |
attribute | NC_GLOBAL | date_modified | String | 2020-07-02T21:01:48Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.805216.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/805216 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | FIA |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 805225 |
attribute | NC_GLOBAL | instruments_0_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_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB36/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Flow Injection Analyzer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 657 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | QuikChem 8000 automated ion analyzer |
attribute | NC_GLOBAL | keywords | String | analyte, Analyte_Name, bco, bco-dmo, biological, calib, chemical, conc, Conc_Calib, corr, data, dataset, dilution, dmo, erddap, extract, int, Int_Corr, management, name, oceanography, office, preliminary, rsd, RSD_Corr_Int, sample, Sample_ID, type |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/805216/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/805216 |
attribute | NC_GLOBAL | param_mapping | String | {'805216': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/805216/parameters |
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 | Adina Paytan |
attribute | NC_GLOBAL | people_0_person_nid | String | 50821 |
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 | Dr Delphine Defforey |
attribute | NC_GLOBAL | people_1_person_nid | String | 664058 |
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 | Amber D. York |
attribute | NC_GLOBAL | people_2_person_nid | String | 643627 |
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 | Marine Sediment Analysis 31P NMR |
attribute | NC_GLOBAL | projects_0_acronym | String | Marine Sediment Analysis 31P NMR |
attribute | NC_GLOBAL | projects_0_description | String | We developed and tested a new approach to prepare marine sediment samples for solution 31P nuclear magnetic resonance spectroscopy (31P NMR). This approach addresses the effects of sample pretreatment on sedimentary P composition and increases the signal of low abundance P species in 31P NMR spectra by removing up the majority inorganic P from sediment samples while causing minimal alteration of the chemical structure of organic P compounds. The method was tested on natural marine sediment samples from different localities (Equatorial Pacific, California Margin and Arctic Ocean) with high inorganic P content, and allowed for the detection of low abundance P forms in samples for which only an orthophosphate signal could be resolved with an NaOH-EDTA extraction alone. This new approach will allow the use of 31P NMR on samples for which low organic P concentrations previously hindered the use of this tool, and will help answer longstanding question regarding the fate of organic P in marine sediments. We developed and tested a new approach to prepare marine sediment samples for solution 31P nuclear magnetic resonance spectroscopy (31P NMR). This approach addresses the effects of sample pretreatment on sedimentary P composition and increases the signal of low abundance P species in 31P NMR spectra by removing up the majority inorganic P from sediment samples while causing minimal alteration of the chemical structure of organic P compounds. The method was tested on natural marine sediment samples from different localities (Equatorial Pacific, California Margin and Arctic Ocean) with high inorganic P content, and allowed for the detection of low abundance P forms in samples for which only an orthophosphate signal could be resolved with an NaOH-EDTA extraction alone. This new approach will allow the use of 31P NMR on samples for which low organic P concentrations previously hindered the use of this tool, and will help answer longstanding question regarding the fate of organic P in marine sediments. NSF C-DEBI Award #156246 to Dr. Adina Paytan NSF C-DEBI Award #157598 to Dr. Delphine Defforey |
attribute | NC_GLOBAL | projects_0_geolocation | String | Equatorial Pacific, California Margin, Arctic Ocean |
attribute | NC_GLOBAL | projects_0_name | String | A new marine sediment sample preparation scheme for solution 31P NMR analysis |
attribute | NC_GLOBAL | projects_0_project_nid | String | 664054 |
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 | Total phosphorus and metal concentrations from sediment extracts from samples collected during cruises in the Arctic Ocean, California Margin, and Equatorial Pacific from 1992-1998. |
attribute | NC_GLOBAL | title | String | [TP metals sediments with no pretreatment] - Total phosphorus and metal concentrations from sediment extracts from samples collected during cruises in the Arctic Ocean, California Margin, and Equatorial Pacific from 1992-1998 (A new marine sediment sample preparation scheme for solution 31P NMR analysis) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | Type | String | ||
attribute | Type | bcodmo_name | String | sample_descrip |
attribute | Type | description | String | Type (NMR extract or Residue) |
attribute | Type | long_name | String | Type |
attribute | Type | units | String | unitless |
variable | Extract | String | ||
attribute | Extract | bcodmo_name | String | sample_descrip |
attribute | Extract | description | String | Extraction solution |
attribute | Extract | long_name | String | Extract |
attribute | Extract | units | String | unitless |
variable | Dilution | String | ||
attribute | Dilution | bcodmo_name | String | treatment |
attribute | Dilution | description | String | Sample dilution or "None" |
attribute | Dilution | long_name | String | Dilution |
attribute | Dilution | units | String | unitless |
variable | Sample_ID | String | ||
attribute | Sample_ID | bcodmo_name | String | sample |
attribute | Sample_ID | description | String | Unique sample identifier |
attribute | Sample_ID | long_name | String | Sample ID |
attribute | Sample_ID | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | Sample_ID | units | String | unitless |
variable | Analyte_Name | String | ||
attribute | Analyte_Name | bcodmo_name | String | sample_descrip |
attribute | Analyte_Name | description | String | Element analyzed |
attribute | Analyte_Name | long_name | String | Analyte Name |
attribute | Analyte_Name | units | String | unitless |
variable | Int_Corr | double | ||
attribute | Int_Corr | _FillValue | double | NaN |
attribute | Int_Corr | actual_range | double | -483.6220124, 2.858785422E7 |
attribute | Int_Corr | bcodmo_name | String | unknown |
attribute | Int_Corr | description | String | Intensity (corrected) |
attribute | Int_Corr | long_name | String | Int Corr |
attribute | Int_Corr | units | String | unknown |
variable | RSD_Corr_Int | double | ||
attribute | RSD_Corr_Int | _FillValue | double | NaN |
attribute | RSD_Corr_Int | actual_range | double | 0.1423364373, 104133.066 |
attribute | RSD_Corr_Int | bcodmo_name | String | standard deviation |
attribute | RSD_Corr_Int | description | String | Relative standard deviation |
attribute | RSD_Corr_Int | long_name | String | RSD Corr Int |
attribute | RSD_Corr_Int | units | String | unknown |
variable | Conc_Calib | double | ||
attribute | Conc_Calib | _FillValue | double | NaN |
attribute | Conc_Calib | actual_range | double | -0.1235444804, 205.1316777 |
attribute | Conc_Calib | bcodmo_name | String | P |
attribute | Conc_Calib | description | String | Calibrated concentration of total phosphorous |
attribute | Conc_Calib | long_name | String | Conc Calib |
attribute | Conc_Calib | units | String | parts per million (ppm) |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.