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27 results for “Reflectance spectroscopy”
Spectral data associated to the publication: "Near-infrared reflectance spectroscopy of sublimating salty ice analogues. Implications for icy moons" by R. Cerubini et al. (Planetary and Space Science 211, 2022)
<p>This is the complete set of experimental NIR reflectance data collected by R. Cerubini and co-authors for the article "Near-infrared reflectance spectroscopy of sublimating salty ice analogues. Implications for icy moons" published in Planetary and Space Science 211 (2022). doi: https://doi.org/10.1016/j.pss.2021.105391.</p> <p>The article itself is published in open-access and provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces.</p> <p>The data are contained in ASCII files (columns separated by comma). The first column is the wavelength (in micrometers) and the other columns contain the reflectance data (in unit of reflectance factor). The different compositions are indicated in the filenames and correspond directly to the figures in the published paper.</p> <p> </p> <p> </p>
Seasonal trends in leaf level physiological parameters, obtained through gas exchange, reflectance spectroscopy and, functional trait analysis
This data package contains leaf level gas exchange, reflectance spectroscopy, and functional trait measurements collected in six common deciduous tree species across the full 2021 growth season (May -October) at the Black Rock Forest in Cornwall, New York, USA. Branches were sampled predawn using the shotgun method of branch retrieval, and re-cut under water to preserve hydraulic function before transport to the lab. Gas exchange data included in this package are stomatal response curves (irradiance response) which can be used to estimate stomatal slope and intercept. Spectroscopic data are full-range (350 – 2500 nm) leaf reflectance spectra collected on all leaves sampled for gas exchange and traits. Leaf level trait measurements include leaf mass per area (LMA), leaf dry matter content (LDMC), elemental nitrogen and carbon expressed on a per mass basis, and fitted values of Asat, Vcmax, and Rdark scaled to a reference temperature of 25C. Data from these three data tables (stomatal responce, spectra, leaf traits) can be cross referenced using the unique SampleID. Additional data tables include stomatal anatomy (stomatal density, length, and width of the guard cells), hydraulic properties estimated from pressure volume curves (relative water deficit at the turgor loss point), and predawn water potential for all sampled branches. Site level data includes the dGPS location of each sampled tree, its species, and DBH. Each tabular data file (*.csv) is accompanied by a data description (*_dd.csv) which includes relevant metadata (unit, definition, data type). Copies of all raw instrument output (spectroradiometer, LICOR, pressure chamber) and included as .zip files.
Models for rapid estimates of leaf litter chemistry using reflectance spectroscopy
<p>Measuring the chemical traits of leaf litter is important for understanding plants' roles in nutrient cycles, including through nutrient resorption and litter decomposition, but conventional leaf trait measurements are often destructive and labor-intensive. Here, we develop and evaluate the performance of partial least-squares regression (PLSR) models that use reflectance spectra of intact or ground leaves to estimate leaf litter traits, including carbon and nitrogen concentration, carbon fractions, and leaf mass per area (LMA). Our analyses included more than 300 samples of senesced foliage from 11 species of temperate trees, including needleleaf and broadleaf species. Across all samples, we could predict each trait with moderate-to-high accuracy from both intact-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.543-0.941; %RMSE = 7.49-18.5) and ground-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.491-0.946; %RMSE = 7.00-19.5). Notably, intact-leaf spectra yielded better predictions of LMA. Our results support the feasibility of building models to estimate multiple chemical traits from leaf litter of a range of species. In particular, the success of intact-leaf spectral models allows non-destructive trait estimation in a matter of seconds, which could enable researchers to measure the same leaves over time in studies of nutrient resorption.</p>
Rapid assessment of lipidomics sample quality and quantity using attenuated total reflectance Fourier-transform infrared spectroscopy
<p>In this work, we aimed to develop a simple lipid quality and quantification method for biological lipid extracts, as a step in lipidomics workflows, with minimal sample requirement. We chose FTIR spectroscopy with an Attenuate Total Reflectance (ATR) sampling method as it requires just 1 microliter of MS-ready sample without additional sample preparation. We validated the proposed lipidomics sample quality control workflow using a set of plasma samples (n=107, with 3-4 technical replicates) with comparison to LC-MS-based lipidomics. The following file contains the resulting spectra acquired by ATR-FTIR spectrometry for these plasma samples, standard curves and contaminated samples used for method development. Spectrometer was ambient blanked and detector cleaned between each measurement. Lipid samples were extracted by butanol-methanol (3:1) precipitation, and dried directly onto the ATR-FTIR detector. Absorbance was measured between 4,000 and 650 cm-1 wavenumbers, at a resolution of 8cm-1. Each spectra has been baseline corrected (whole spectra).</p>
Spectral and trait data for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
<p>Measuring the chemical traits of leaf litter is important for understanding plants' roles in nutrient cycles, including through nutrient resorption and litter decomposition, but conventional leaf trait measurements are often destructive and labor-intensive. Here, we develop and evaluate the performance of partial least-squares regression (PLSR) models that use reflectance spectra of intact or ground leaves to estimate leaf litter traits, including carbon and nitrogen concentration, carbon fractions, and leaf mass per area (LMA). Our analyses included more than 300 samples of senesced foliage from 11 species of temperate trees, including needleleaf and broadleaf species. Across all samples, we could predict each trait with moderate-to-high accuracy from both intact-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.543-0.941; %RMSE = 7.49-18.5) and ground-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.491-0.946; %RMSE = 7.00-19.5). Notably, intact-leaf spectra yielded better predictions of LMA. Our results support the feasibility of building models to estimate multiple chemical traits from leaf litter of a range of species. In particular, the success of intact-leaf spectral models allows non-destructive trait estimation in a matter of seconds, which could enable researchers to measure the same leaves over time in studies of nutrient resorption.</p>
Dataset for "Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, and MM May, Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy, Batteries & Supercaps (2024). DOI:<span>10.1002/batt.202400610</span></p> <p>The data set is organized according to the publication's figures. </p>
Data set for "The interfacial structure of InP(100) in contact with HCl and H2SO4 studied by reflection anisotropy spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, M. Guidat, J. Kim, and MM May, <em>The interfacial structure of InP(100) in contact with HCl and H<sub>2</sub>SO<sub>4</sub> studied by reflection anisotropy spectroscopy</em>, RSC Advances 12 (2022), 32756-32764. <a href="https://doi.org/10.1039/D2RA05159A">DOI:10.1039/D2RA05159A</a></p> <p>The data set is organised along the figures of the publication. '.ers', '.erc', and '.ert' are spectra, colour plots, and transients, respectively, in the native format of Laytec's EpiRAS. '.par' files are in the data format from the Princeton Applied Research VersaSTAT 3F potentiostat. Spectra files containing the name 'Si100' are from Si(100) wafers with native oxide, used for zero-line correction as described in the paper.</p>
Data and Supplemental Data from Radwin et al. "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy"
<p>These data are part of Radwin et al., "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy", submitted to IEEE TGRS in 2022. This work was supported in part by the National Aeronautics and Space Administration through the Solar System Workings program grant 80NSSC19K0552, and by the National Science Foundation grants from the Sedimentary Geology and Paleobiology Program (EAR-0719822, EAR-0719838 and EAR-0719892).</p> <p>Included in this dataset are ten separate downloadable files:</p> <p>1) RADWIN_2022_ACID_SALINE_SPECTRA.xlsx is an Excel spreadsheet containing all of the continuum-removed spectra utilized and an appendix organizing the data.</p> <p>2) RADWIN_2022_ACID_SALINE_POLYFIT_IRON_SPECTRA.xlsx is an Excel spreadsheet containing all of the polynomial fit continuum-removed iron spectra between ~800-1200 nm.</p> <p>3) RADWIN_2022_HYMAP_DATA.rar is a folder containing Envi files (with associated image metadata, such as bad-band-list) for the HyMap imagery of Lake Brown and the Twin Lakes region.</p> <p>4) RADWIN_2022_WA_SEDS_XRF_DATA.xlsx contains supplemental pXRF data.</p> <p>5) Radwin_Supplemental_XRD_LA1_Data.xlsx contains supplemental XRD data from the Lake Aerodrome LA2 core dataset (LA1 on filename is a typo).</p> <p>6) SAM Classification Maps.zip contains the classification map files.</p> <p>7) SAM Rule Images & Stats.zip contains rule images and class statistics from the SAM classification maps.</p> <p>8) SAM_Processing_Log.xlsx contains the specifications used for the SAM classification maps when using ENVI.</p> <p>9) SAM_Training_Data_Shapefiles.zip contains shapefiles that designate the training class data for the 7 classification map classes.</p> <p>10) XRF_Spectra_Matched_Sample_Photos_For_Reference.docx contains photos of the samples that were analyzed with pXRF.</p> <p> </p>
Examining Validity and Sensitivity of Pressure-Mediated Reflection Spectroscopy
ClinicalTrials.gov study NCT04056624. IPD Sharing: YES. Countries: 1. Publications: 3.
Models for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
Open the record for dataset details and reuse information.
Spectral and trait data for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
Open the record for dataset details and reuse information.
Supplementary Data for Remote soil moisture measurement from drone-borne reflectance spectroscopy: Applications to hydroperiod measurement in desert playas
<p>This supporting dataset includes:</p> <p>• Ground-based reflectance measurements for the two plume-crossing transects (AHT3 and AHT4). Data show reflectance by wavelength at each scan position.</p> <p>• Reduced data records (RDR) showing GPS position data for the drone and the associated reflectance measurement, by wavelength, averaged over 1 second intervals for the three mapping sorties, AHS4, 5, and 7.</p> <p>• The sample datasheet showing ground-based and lab-base measurements of the sampling transects.</p>
Fig.1 in Application Of Near-Infrared Reflectance Spectroscopy For Detection Of Acrylamide Content In Potato Crisps And Bread
Fig.1. Predicted acrylamide vs reference acrylamide in bread samples.
Fig.2 in Application Of Near-Infrared Reflectance Spectroscopy For Detection Of Acrylamide Content In Potato Crisps And Bread
Fig.2. Predicted acrylamide vs reference acrylamide in potato crisp samples.
DATA for "An Acoustic Trap for Bead Injection Attenuated To-tal Reflection Infrared Spectroscopy"
<p>Data used for: doi/10.1021/acs.analchem.9b00611</p>
Data and 3D-files for: 3D Printing for Low-Cost and Versatile Attenuated Total Reflection Infrared Spectroscopy
<p>Data and 3D files for :<a href="https://doi.org/10.1021/acs.analchem.9b04043">https://doi.org/10.1021/acs.analchem.9b04043</a></p>
Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks
<p>Supplementary Tables - Version 2</p>
Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks
<p>Supplementary Tables</p>
Quantitative Mineral Analysis of Ordinary Chondrites and Primitive Achondrites Using Reflectance Spectroscopy
<p>This is supporting data for the paper titled "Quantitative Mineral Analysis of Ordinary Chondrites and Primitive Achondrites Using Reflectance Spectroscopy". Table 1 shows the mineralogical data used in this paper. Table 2 shows the spectral data of olivine and orthopyroxene mixtures from Cloutis et al. (1986) (<a href="https://doi.org/10.1029/JB091iB11p11641">https://doi.org/10.1029/JB091iB11p11641</a>).</p>
Research Data for "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies"
<p>This dataset provides the underlying experimental and simulation raw data supporting the figures of both main text and supporting information of the paper "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies" appearing in <em>Journal of Catalysis</em> under DOI: <a href="https://doi.org/10.1016/j.jcat.2024.115823" rel="noreferrer">https://doi.org/10.1016/j.jcat.2024.115823</a>.</p>
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