http://lod.bco-dmo.org/id/dataset/806957
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2020-03-25
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Table 2. Elemental ratios and partition coefficients for CaCO3 in deepsea conditions: Mg, S, Sr, and Ba between crystallized solids and fluid.
2020-03-25
publication
2020-03-25
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-04-09
publication
https://doi.org/10.26008/1912/bco-dmo.806957.1
Rinat Gabitov
Mississippi State University
principalInvestigator
Chiara Borrelli
University of Rochester
principalInvestigator
Karyn Rogers
Rensselaer Polytechnic Institute
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Gabitov, R., Borrelli, C., Rogers, K. (2020) Table 2. Elemental ratios and partition coefficients for CaCO3 in deepsea conditions: Mg, S, Sr, and Ba between crystallized solids and fluid. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-03-25 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.806957.1 [access date]
Table 2 Dataset Description: <p>Table 1: Experimental conditions and fluid carbonate chemistry for RPI-3 run where only aragonite precipitated</p> Methods and Sampling: <p><strong>X-ray diffraction (XRD)</strong></p>
<p>Powdered samples were examined for mineral presence using a Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT) at Mississippi State University. These analyses were conducted at 40 kV and 40 mA.</p>
<p><strong>Elemental analysis of experimental aragonite crystals and experimental fluids with ICP-MS</strong></p>
<p>Crystals were dissolved and solutions were analyzed by ICP-MS. Experimental fluids were also analyzed with ICP-MS, as well. Analyses were conducted on an Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY). Prior to analysis, fluid samples were diluted with 2% trace metal grade HNO3 (Fisher) in the volume proportion of 1:100. Aragonite crystals were dissolved in HNO3 in the mass proportion of 1:1000. Experimental fluid samples were analyzed using a 5-point calibration curve (one blank and four standards). Seawater standards were prepared by diluting a seawater certificate reference material (CRM-SW; High-Purity Standards) to a final concentration of ~300, 200, 150, and 80 ppm. Experimental crystals were analyzed using a 5-point calibration curve (one blank and four standards). Calcium carbonate standards were prepared by dissolving and diluting the original MACS-3 powder to a final concentration of ~111, 55, 27, and 11 ppm. Because S concentration was not reported in the certificate of analysis provided by the USGS, we added a small amount of sulfur single element standard (Inorganic Ventures) to a final concentration of ~1.5, 0.75, 0.375, and 0.150 ppm, in each MACS-3 standard we prepared. Samples, blanks, and standards were also spiked with 2 ppb indium, which was used as the internal standard to check for possible instrumental drift during each analytical session.</p>
<p>The instrument was tuned at the beginning of each analytical session (two analytical sessions in two consecutive days). 24Mg, 34S, 43Ca, 88Sr, 138Ba, and 238U were analyzed.&nbsp; Integration times were the following: 0.3 s for 24Mg; 0.12 s for 43Ca, 88Sr, and 138Ba; 0.99 s for 238U. The calibration curve was run before analyzing each set of samples. For each element analyzed, the correlation among standards was 0.9923 or better. Elements were identified using three peaks. Each analysis included three replicates, with 100 sweeps/replicate. The carrier gas (argon) flow was set at 1.15 L/min. In addition, we used helium flow of 4.2 milliliters per minute in the collision reaction cell in the ICP-MS to minimize oxide interference. At the end of each tuning, oxides and doubly-charged ion interferences were below 0.8% and 1.4%, respectively. Data were computed automatically during the run using the Agilent Mass Hunter 4.1 workstation software v. C.01.01.</p>
<p><strong>Results</strong></p>
<p>XRD spectra identified the presence of aragonite and monohydrocalcite (Table 2). Only aragonite crystallized at intermediate pressure (110 bars). Calculations of fluid carbonate chemistry were conducted with a CO2SYS spreadsheet (Lewis and Wallace, 1998) &nbsp;and presented in Table 1. There, measured pH and total alkalinity (TA) were used to calculate the concentration of CO32-, which together with Ca2+ is necessary to calculate fluid saturation states with respect to aragonite (Omega-Ar). Precipitation started at saturation state, which exceeds that of artificial seawater (ASW) by the factor of ~25. Over the course of the experiments, Omega-Ar decreased back to 2, i.e. Omega-Ar value of ASW prior to the addition of Na2CO3. Table 2 contains E/Ca of experimental products (solids and liquids) as well as the Doener-Hoskins apparent partition coefficients between solid and fluid (KE). Fluid composition changed during individual experiments, and therefore, values of KE were calculated using the Doener-Hoskins relationship:</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;KE= log(1+ mE^aragonite /mE^fluid) / log(1+ mCa^aragonite /mCa^fluid)&nbsp; &nbsp; (1)</p>
<p>where m^aragonite is the total number of moles of element (i.e., Mg, S, Sr, Ba, or U) or Ca in the final precipitate, and m^fluid is the total number of moles of element or Ca in the final fluid (Doerner and Hoskins, 1925).</p>
<p><strong>Software products used:</strong><br />
XRD: Jade and Microsoft Excel<br />
ICP-MS: Agilent Mass Hunter 4.1 workstation software v. C.01.01 and Microsoft Excel</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0939564 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0939564
completed
Rinat Gabitov
Mississippi State University
108 Hilbun Hall PO Box 5448
Mississippi
39762
USA
rinat.gabitov@gmail.com
pointOfContact
Chiara Borrelli
University of Rochester
202 Hutchison Hall University of Rochester
Rochester
New York
USA
cborrelli@UR.Rochester.edu
pointOfContact
Karyn Rogers
Rensselaer Polytechnic Institute
518-276-2372
100 8th St
Troy
NY
12180
USA
rogerk5@rpi.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
analysis
run
press
minerals
Mg_Ca
Mg_Ca_2sd
S_Ca
S_Ca_2sd
Sr_Ca
Sr_Ca_2sd
Ba_Ca
Ba_Ca_2sd
KMg
KMg_2sd
KS
KS_2sd
KSr
KSr_2sd
KBa
Kba_2sd
Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY)
high-pressure apparatus
Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT)
theme
None, User defined
No BCO-DMO term
experiment id
water pressure
featureType
BCO-DMO Standard Parameters
Inductively Coupled Plasma Optical Emission Spectrometer
no_bcodmo_term
X-ray diffractometer
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Center for Dark Energy Biosphere Investigations
http://www.darkenergybiosphere.org
Center for Dark Energy Biosphere Investigations
The mission of the Center for Dark Energy Biosphere Investigations (C-DEBI) is to explore life beneath the seafloor and make transformative discoveries that advance science, benefit society, and inspire people of all ages and origins.
C-DEBI provides a framework for a large, multi-disciplinary group of scientists to pursue fundamental questions about life deep in the sub-surface environment of Earth. The fundamental science questions of C-DEBI involve exploration and discovery, uncovering the processes that constrain the sub-surface biosphere below the oceans, and implications to the Earth system. What type of life exists in this deep biosphere, how much, and how is it distributed and dispersed? What are the physical-chemical conditions that promote or limit life? What are the important oxidation-reduction processes and are they unique or important to humankind? How does this biosphere influence global energy and material cycles, particularly the carbon cycle? Finally, can we discern how such life evolved in geological settings beneath the ocean floor, and how this might relate to ideas about the origin of life on our planet?
C-DEBI's scientific goals are pursued with a combination of approaches:
(1) coordinate, integrate, support, and extend the research associated with four major programs—Juan de Fuca Ridge flank (JdF), South Pacific Gyre (SPG), North Pond (NP), and Dorado Outcrop (DO)—and other field sites;
(2) make substantial investments of resources to support field, laboratory, analytical, and modeling studies of the deep subseafloor ecosystems;
(3) facilitate and encourage synthesis and thematic understanding of submarine microbiological processes, through funding of scientific and technical activities, coordination and hosting of meetings and workshops, and support of (mostly junior) researchers and graduate students; and
(4) entrain, educate, inspire, and mentor an interdisciplinary community of researchers and educators, with an emphasis on undergraduate and graduate students and early-career scientists.
Note: Katrina Edwards was a former PI of C-DEBI; James Cowen is a former co-PI.
Data Management:
C-DEBI is committed to ensuring all the data generated are publically available and deposited in a data repository for long-term storage as stated in their Data Management Plan (PDF) and in compliance with the NSF Ocean Sciences Sample and Data Policy. The data types and products resulting from C-DEBI-supported research include a wide variety of geophysical, geological, geochemical, and biological information, in addition to education and outreach materials, technical documents, and samples. All data and information generated by C-DEBI-supported research projects are required to be made publically available either following publication of research results or within two (2) years of data generation.
To ensure preservation and dissemination of the diverse data-types generated, C-DEBI researchers are working with BCO-DMO Data Managers make data publicly available online. The partnership with BCO-DMO helps ensure that the C-DEBI data are discoverable and available for reuse. Some C-DEBI data is better served by specialized repositories (NCBI's GenBank for sequence data, for example) and, in those cases, BCO-DMO provides dataset documentation (metadata) that includes links to those external repositories.
C-DEBI
largerWorkCitation
program
Biologically induced methane oxidation and precipitation of carbonate minerals: An experimental study
https://www.darkenergybiosphere.org/award/biologically-induced-methane-oxidation-and-precipitation-of-carbonate-minerals-an-experimental-study/
Biologically induced methane oxidation and precipitation of carbonate minerals: An experimental study
<p>Biologically-mediated CaCO3 precipitation widely occurs in aquatic systems and is often directly linked to the metabolic activity of microorganisms, which could significantly affect the local environment. An example is oxidation of methane and reduction of sulfate mediated by a consortium of Bacteria and Archaea. In order to investigate geochemistry of CaCO3precipitated abiotically and under microbial activity experimental work was initiated. The abiotic experiments were performed at different temperatures and pressures (nitrogen and nitrogen-methane mixture). Further geochemical analyses will allow evaluating of the effect of total pressure and methane partial pressure on the geochemistry of CaCO3. Sulfate reducing bacterial (<em>Desulfovibrio salexigens</em>) was successfully cultured and precipitation experiments on microbially mediated CaCO3 are in progress. This work is relevant to C-DEBI Research Theme I (Activity in the Deep Subseafloor Biosphere: function & rates of global biogeochemical processes) because carbonate growth rate is linked to microbial activity and the rate of methane oxidation.</p>
Deep Sea Geochem CaCO3
largerWorkCitation
project
eng; USA
oceans
2014-01-01
2014-12-31
0
BCO-DMO catalogue of parameters from Table 2. Elemental ratios and partition coefficients for CaCO3 in deepsea conditions: Mg, S, Sr, and Ba between crystallized solids and fluid.
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/806978.rdf
Name: analysis
Units: unitless
Description: <p>The type of analysis: solids; fluids; or KE (Doener-Hoskins partition coefficients between solid and fluid)</p>
http://lod.bco-dmo.org/id/dataset-parameter/806979.rdf
Name: run
Units: unitless
Description: <p>experimental run identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/806980.rdf
Name: press
Units: bars
Description: <p>pressure</p>
http://lod.bco-dmo.org/id/dataset-parameter/806981.rdf
Name: minerals
Units: unitless
Description: <p>minerals identified with X-ray diffraction technique: aragonite; monoclinic carbonate (CaCO3-II)</p>
http://lod.bco-dmo.org/id/dataset-parameter/806982.rdf
Name: Mg_Ca
Units: millimole per mole of calcium
Description: <p>magnesium to calcium ratio in carbonate crystals (solids) or in fluid at end of experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/806983.rdf
Name: Mg_Ca_2sd
Units: millimole per mole of calcium
Description: <p>two standard deviations from the mean of magnesium to calcium ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/806984.rdf
Name: S_Ca
Units: millimole per mole of calcium
Description: <p>sulfur to calcium ratio in carbonate crystals (solids) or in fluid at end of experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/806985.rdf
Name: S_Ca_2sd
Units: micromole per mole of calcium
Description: <p>two standard deviations from the mean of sulfur to calcium ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/806986.rdf
Name: Sr_Ca
Units: millimole per mole of calcium
Description: <p>strontium to calcium ratio in carbonate crystals (solids) or in fluid at end of experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/806987.rdf
Name: Sr_Ca_2sd
Units: millimole per mole of calcium
Description: <p>two standard deviations from the mean of strontium to calcium ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/806988.rdf
Name: Ba_Ca
Units: millimole per mole of calcium
Description: <p>barium to calcium ratio in carbonate crystals (solids) or in fluid at end of experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/806989.rdf
Name: Ba_Ca_2sd
Units: micromole per mole of calcium
Description: <p>two standard deviations from the mean of barium to calcium ratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/806990.rdf
Name: KMg
Units: unitless
Description: <p>Doener-Hoskins partition coefficients of magnesium multiplied by 1000</p>
http://lod.bco-dmo.org/id/dataset-parameter/806991.rdf
Name: KMg_2sd
Units: unitless
Description: <p>two standard deviations from the mean of Doener-Hoskins partition coefficients of magnesium multiplied by 1000</p>
http://lod.bco-dmo.org/id/dataset-parameter/806992.rdf
Name: KS
Units: unitless
Description: <p>Doener-Hoskins partition coefficients of sulfur multiplied by 1000</p>
http://lod.bco-dmo.org/id/dataset-parameter/806993.rdf
Name: KS_2sd
Units: unitless
Description: <p>two standard deviations from the mean of Doener-Hoskins partition coefficients of sulfur multiplied by 1000</p>
http://lod.bco-dmo.org/id/dataset-parameter/806994.rdf
Name: KSr
Units: unitless
Description: <p>Doener-Hoskins partition coefficients of strontium</p>
http://lod.bco-dmo.org/id/dataset-parameter/806995.rdf
Name: KSr_2sd
Units: unitless
Description: <p>two standard deviations from the mean of Doener-Hoskins partition coefficients of strontium</p>
http://lod.bco-dmo.org/id/dataset-parameter/806996.rdf
Name: KBa
Units: unitless
Description: <p>Doener-Hoskins partition coefficients of barium</p>
http://lod.bco-dmo.org/id/dataset-parameter/806997.rdf
Name: Kba_2sd
Units: unitless
Description: <p>two standard deviations from the mean of Doener-Hoskins partition coefficients of barium</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
1024
https://darchive.mblwhoilibrary.org/bitstream/1912/25621/1/dataset-806957_trace-elements-caco3-and-fluid__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.806957.1
download
onLine
dataset
<p><strong>X-ray diffraction (XRD)</strong></p>
<p>Powdered samples were examined for mineral presence using a Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT) at Mississippi State University. These analyses were conducted at 40 kV and 40 mA.</p>
<p><strong>Elemental analysis of experimental aragonite crystals and experimental fluids with ICP-MS</strong></p>
<p>Crystals were dissolved and solutions were analyzed by ICP-MS. Experimental fluids were also analyzed with ICP-MS, as well. Analyses were conducted on an Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY). Prior to analysis, fluid samples were diluted with 2% trace metal grade HNO3 (Fisher) in the volume proportion of 1:100. Aragonite crystals were dissolved in HNO3 in the mass proportion of 1:1000. Experimental fluid samples were analyzed using a 5-point calibration curve (one blank and four standards). Seawater standards were prepared by diluting a seawater certificate reference material (CRM-SW; High-Purity Standards) to a final concentration of ~300, 200, 150, and 80 ppm. Experimental crystals were analyzed using a 5-point calibration curve (one blank and four standards). Calcium carbonate standards were prepared by dissolving and diluting the original MACS-3 powder to a final concentration of ~111, 55, 27, and 11 ppm. Because S concentration was not reported in the certificate of analysis provided by the USGS, we added a small amount of sulfur single element standard (Inorganic Ventures) to a final concentration of ~1.5, 0.75, 0.375, and 0.150 ppm, in each MACS-3 standard we prepared. Samples, blanks, and standards were also spiked with 2 ppb indium, which was used as the internal standard to check for possible instrumental drift during each analytical session.</p>
<p>The instrument was tuned at the beginning of each analytical session (two analytical sessions in two consecutive days). 24Mg, 34S, 43Ca, 88Sr, 138Ba, and 238U were analyzed.&nbsp; Integration times were the following: 0.3 s for 24Mg; 0.12 s for 43Ca, 88Sr, and 138Ba; 0.99 s for 238U. The calibration curve was run before analyzing each set of samples. For each element analyzed, the correlation among standards was 0.9923 or better. Elements were identified using three peaks. Each analysis included three replicates, with 100 sweeps/replicate. The carrier gas (argon) flow was set at 1.15 L/min. In addition, we used helium flow of 4.2 milliliters per minute in the collision reaction cell in the ICP-MS to minimize oxide interference. At the end of each tuning, oxides and doubly-charged ion interferences were below 0.8% and 1.4%, respectively. Data were computed automatically during the run using the Agilent Mass Hunter 4.1 workstation software v. C.01.01.</p>
<p><strong>Results</strong></p>
<p>XRD spectra identified the presence of aragonite and monohydrocalcite (Table 2). Only aragonite crystallized at intermediate pressure (110 bars). Calculations of fluid carbonate chemistry were conducted with a CO2SYS spreadsheet (Lewis and Wallace, 1998) &nbsp;and presented in Table 1. There, measured pH and total alkalinity (TA) were used to calculate the concentration of CO32-, which together with Ca2+ is necessary to calculate fluid saturation states with respect to aragonite (Omega-Ar). Precipitation started at saturation state, which exceeds that of artificial seawater (ASW) by the factor of ~25. Over the course of the experiments, Omega-Ar decreased back to 2, i.e. Omega-Ar value of ASW prior to the addition of Na2CO3. Table 2 contains E/Ca of experimental products (solids and liquids) as well as the Doener-Hoskins apparent partition coefficients between solid and fluid (KE). Fluid composition changed during individual experiments, and therefore, values of KE were calculated using the Doener-Hoskins relationship:</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;KE= log(1+ mE^aragonite /mE^fluid) / log(1+ mCa^aragonite /mCa^fluid)&nbsp; &nbsp; (1)</p>
<p>where m^aragonite is the total number of moles of element (i.e., Mg, S, Sr, Ba, or U) or Ca in the final precipitate, and m^fluid is the total number of moles of element or Ca in the final fluid (Doerner and Hoskins, 1925).</p>
<p><strong>Software products used:</strong><br />
XRD: Jade and Microsoft Excel<br />
ICP-MS: Agilent Mass Hunter 4.1 workstation software v. C.01.01 and Microsoft Excel</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Data Manager Processing Notes:</strong><br />
- added a conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- blank values in this dataset are displayed as "nd" for "no data."&nbsp; nd is the default missing data identifier in the BCO-DMO system.<br />
- reformatted table so each column represent only one parameter<br />
- removed quotes,&nbsp;replaced commas with semicolons</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY)
Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY)
PI Supplied Instrument Name: Agilent 7900 quadrupole ICP-MS equipped with a glass nebulizer at the University of Rochester (Rochester, NY) Instrument Name: Inductively Coupled Plasma Optical Emission Spectrometer Instrument Short Name:ICP-OES or ICP-AES Instrument Description: Also referred to as an Inductively coupled plasma atomic emission spectroscope (ICP-AES). These instruments pass nebulised samples into an inductively-coupled gas plasma (8-10000 K) where they are atomised and excited. The de-excitation optical emissions at characteristic wavelengths are spectroscopically analysed. It is often used in the detection of trace metals.
high-pressure apparatus
high-pressure apparatus
PI Supplied Instrument Name: high-pressure apparatus PI Supplied Instrument Description:Custom designed pressure chamber used to simulate the high-pressure conditions at the seafloor for this set of experiments (designed at Rensselaer Polytech Institute, Department of Earth and Environmental Sciences). Instrument Name: no_bcodmo_term Instrument Short Name: Instrument Description: No relevant match in BCO-DMO instrument vocabulary. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/999/
Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT)
Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT)
PI Supplied Instrument Name: Rigaku Ultima III X-ray Diffraction (XRD) System at the Institute of Imaging and Analytical Technologies (i2AT) PI Supplied Instrument Description:Located at at Mississippi State University Instrument Name: X-ray diffractometer Instrument Short Name:XRD Instrument Description: Instruments that identify crystalline solids by measuring the characteristic spaces between layers of atoms or molecules in a crystal.