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569 results for “spectrometer”
Concentrations of dissolved gases at a methane seep in the deep northern Gulf of Mexico measured with an in situ mass spectrometer (ISMS)
<p>Concentrations of dissolved methane, hydrogen sulfide, carbon dioxide and oxygen in a <em>Bathymodiolus</em> mussel bed at a methane seep in the deep northern Gulf of Mexico. The data were collected with an in situ mass spectrometer (ISMS) on May 6, 2015, during a research cruise with RV Nautilus, dive H1423. The location was site MC853, at 28.12835 (lat), -89.14100 (long), in 1080 m water depth. At this site the two mussel species <em>Bathymodiolus brooksi</em> and <em>B. childressi</em> were collected. ISMS measurements were performed before and after the removal of animals from the mussel bed.</p>
Response of protonated, adduct, and fragmented ions in Vocus proton-transfer-reaction time-of-flight mass (PTR-ToF-MS) spectrometer
<p>Here, we provide the time series and processed results of two sets of experiments: RH experimental results and instrument setting results:</p> <p><a href="../api/records/10947779/draft/files/202305015_E_N_BSQ_RF.pxp/content" target="_blank" rel="noopener noreferrer">202305015_E_N_BSQ_RF.pxp</a>: instrument setting results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_RH_20230427.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_RH_20230427.pxp</a>: RH experimental results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_S_k_20230501.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_S_k_20230501.pxp</a>: k value result analysis</p>
Intercomparison and Evaluation of the TSI NanoScan SMPS and the GRIMM Mini WRAS Ultrafine Particle Size Spectrometers
<p><span>An inter-comparison workshop was held at the World Calibration Center for Aerosol Physics (WCCAP) in Leipzig, Germany, from January 27-31, 2020. Manufacturers and users were invited to have their portable instruments tested and compared against reference instrumentation for particle number size distribution (PNSD) and total particle number concentration (PNC). In particular, the performance and uncertainties of the NanoScan SMPS (Scanning Mobility Particle Sizer) Model 3910 (TSI Inc.) and the Mini Wide Range Aerosol Spectrometer (WRAS) Model 1371 (Grimm Aerosol Technik) were investigated against the WCCAP Mobility Particle Size Spectrometers (MPSS) and Condensation Particle Counters (CPC). A total of 11 TSI NanoScan SMPS and 4 GRIMM Mini WRAS instruments were characterized for ambient aerosols as well as lab-generated aerosols. </span></p> <p><span>The data set represents the respective data for each ambient inter-comparison measurement and performance evaluation using lab generated aerosols such as PSL, NaCl etc.</span></p>
Dataset : Micromolar concentration affinity study on a benchtop NMR spectrometer with secondary 13C labeled hyperpolarized ligands
<p><strong>Data of the dDNP decays for 13C drug screening</strong></p> <p><strong>Drug discovery Data recap</strong></p> <p> </p> <p><strong>Samples</strong></p> <p>Sample 2 : 44mM of Ac-L30 (N-Acetyl [1-<sup>13</sup>C]-6 amino-2-naphthoic acid) in 60/30/10 DMSO/D2O/H2O with 25 mM Tempol</p> <p>Sample 4 (in fact sample 3 in Topspin and according to OC figures) : 44mM of Ac-L08 (N-Acetyl [1-<sup>13</sup>C]-glycine) in 60/30/10 DMSO/D2O/H2O with 25 mM Tempol</p> <p> </p> <p><strong>Dissolution Ac-L30 </strong></p> <p><em>Sample : 600 µM Sample 2 without and with 2 µM HSA</em></p> <p><em>Topspin Folder : 20210414-DrugScreening</em></p> <ul> <li>Dissolution fragment : 1</li> <ul> <li>D1 5 sec</li> <li>Int between 167.2 - 168.3 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 11.88 (10.84, 12.91)</li> <li> a = 1.017 (0.967, 1.066)</li> <li> d = 0.0005482 (-0.006744, 0.007841)</li> </ul> <li>TE : 2</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <li>Dissolution fragment + HSA : 3</li> <ul> <li>D1 5 sec</li> <li>Integration between 167.9 - 168.1 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 6.339 (5.57, 7.109)</li> <li> a = 1.027 (0.9665, 1.088)</li> <li> d = -0.007015 (-0.01521, 0.001185)</li> </ul> <li>TE : 4</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <ul> <li>Code used to plot : Ac-L30.m</li> </ul> </ul> <p> </p> <p><strong>Dissolution Ac-L30 </strong></p> <p><em>Sample : 600 µM Sample 4 without and with 2 µM HSA</em></p> <p><em>Topspin Folder : 20210414-DrugScreening</em></p> <ul> <li>Dissolution fragment : 5</li> <ul> <li>D1 2,5 sec</li> <li>Int between 168.6 - 169 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 29.25 (29.05, 29.46)</li> <li> a = 1.019 (1.015, 1.023)</li> <li> d = -0.001389 (-0.002239, -0.0005388)</li> </ul> <li>TE : 6</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <li>Dissolution fragment + HSA : 11</li> <ul> <li>D1 2,5 sec</li> <li>Integration between 168.6 - 169 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 29.73 (29.57, 29.88)</li> <li> a = 0.9938 (0.9905, 0.9971)</li> <li> d = -0.0003466 (-0.0007762, 8.314e-05)</li> </ul> <li>TE : 12</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <ul> <li>Code used to plot : Ac-L08.m</li> </ul> </ul>
Surface emissivity of Mars from MGS Thermal Emission Spectrometer, sampled to Mars Odyssey THEMIS bands 3-9
<p>These maps are described in Pankine et al. (submitted to Planetary and Space Science). Surface emissivity was derived from MGS TES data, and then binned at a spatial resolution of 8 pixels-per-degree. The binned surface emissivity was then convolved to THEMIS spectral bandpasses between bands 3-9 (~7.9 to 12.5 microns).</p> <p>Each map covers the range -180 to 180 degrees longitude, and -70 to 70 degrees latitude. Null data values are set to zero. </p> <p>A longitudinal offset of 0.271 degrees was applied so that the maps align with data sets that use the IAU 2000 prime meridian.</p> <p>These products may be uploaded as custom maps into the JMARS GIS software.</p>
Speckle Images for Single-Pixel Multimode Fiber Spectrometer
<p>** General Information ** </p> <p>- Dataset includes 2500 speckle images of size 256x320 used to calibrate the system</p> <p>- Dataset includes 2500 speckle images of size 256x320 used to test the system</p> <p>- 50 wavelengths between 1549.750 nm and 1550.240 nm are used in the measurements</p> <p>- The separation between the consecutive wavelengths is 10 pm</p> <p><br> ** FOLDER: calibration_data **</p> <p>- This folder consists of the speckle images used to construct the calibration matrix</p> <p>- "calibration_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p> <p><br> ** FOLDER: test_data **</p> <p>- This folder consists of the speckle images used to test the system in the reconstruction step</p> <p>- "test_WAVX_SLMY.png" is the speckle image of wavelength X under SLM pattern optimized for wavelength Y</p>
Airborne pushbroom imaging spectrometer data over South Africa
<p>Four research flights were conducted over Johannesburg and the Eastern Highveld of South Africa in 2007. Instrumentation on board the aircraft measured in-situ temperature, pressure, NOy, GPS position, aerosol size spectrum. A high-spectral resolution pushbroom imaging spectrometer was fitted in nadir-viewing geometry.</p>
Data used in the paper "Operation of Photo Electron Spectrometers for Non-Invasive Photon Diagnostics at the European X-ray Free Electron Laser"
<p>Data recorded for the experiment at the European XFEL are available at <strong>doi:10.22003/XFEL.EU-DATA-900072-00, </strong><strong>doi:10.22003/XFEL.EU-DATA-900073-00, </strong><strong>doi:10.22003/XFEL.EU-DATA-900268-00, </strong><strong>doi:10.22003/XFEL.EU-DATA-900307-00, and </strong><strong>doi:10.22003/XFEL.EU-DATA-900405-00</strong>.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data and code for: Order-of-Magnitude SNR Improvement for High-Field EPR Spectrometers via 3D-Printed Quasioptical Sample Holders
<p>*.py and data files for publication titled "Order-of-Magnitude SNR Improvement for High-Field EPR Spectrometers via 3D-Printed Quasioptical Sample Holders"</p>
Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams -- associated data
<p>Supplementary experimental data for the results presented in the paper "Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams", collected, processed and analysed by the research group within the School of Mathematics and Physics at Queen's University Belfast.</p> <p>Article located at DOI: 10.1103/PhysRevResearch.00.003000</p> <p>Electron and positron data over 8 nominal shots are provided as:</p> <ul> <li>background corrected spatial lineouts (in mm)</li> <li>derived energy spectra (in GeV)</li> </ul> <p>Also included are binned energy spectra for electrons and positrons, as well as the deconvolved photon spectra.</p> <p>Data is presented in the format of compressed Python numpy (.npz) files.</p>
Jupiter's ground-based observations on 2018 May 24th-27th from the Very Large Telescope Imager and Spectrometer instrument
<p>The Very Large Telescope Imager and Spectrometer (VISIR) instrument on ESO's Very Large Telescope (VLT) has been used to support the NASA's Juno mission since 2016. The present dataset was collected at the European Organisation for Astronomical Research in the Southern Hemisphere under ESO programme 0101.C-0073(A)). The 2018 May 24th-27th dataset provides a comprehensive view of Jupiter's pole-to-pole thermal, chemical, and aerosol structure ; including the Great Red Spot; and the auroral-related heating in the southern polar stratosphere; after retrieval calculations.</p> <p>Here, we provide the destriped, cleaned, calibrated and projected data of 2018 May 24h to 27th dataset.</p> <p> </p> <p>For the 7.9µm filter, we have added the radial Doppler velocities files.</p>
Dataset: The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) Part II: First measurements of the emissivity of water in the far-infrared.
<p>This repository contains callibrated radiance measurements from the FINESSE instrument and related auxilary files as referenced in the article "The Far-INfrarEd Spectrometer for Surface Emissivity (FINESSE) Part II: First measurements of the emissivity of water in the far-infrared." by Warwick, L., Murray, J. and Brindley, H.</p> <p>In this paper we describe a method for retrieving surface emissivity across the wavenumber range 400-1600 cm-1 using novel radiance measurements from the Far INfrarEd Spectrometer for Surface Emissivity (FINESSE) instrument. FINESSE is described in detail in part I of the paper. We apply the method to two sets of measurements of distilled water. The first set of emissivity retrievals is of distilled water heated above ambient temperature to enhance the signal to noise ratio. The second set of emissivity retrievals is of ambient temperate water at a range of viewing angles. In both cases the observations agree well with calculations based on compiled refractive indices across the mid and far-infrared. It is found that the reduced contrast between the up and downwelling radiation in the ambient temperature case degrades the performance of the retrieval. Therefore a filter is developed to target regions of high contrast which improves the agreement between the ambient temperature emissivity retrieval and the predicted emissivity. These retrievals are, to the best of our knowledge, the first published retrievals of the emissivity of water that extend into the far-infrared and demonstrate a method that can be used for the in-situ retrieval of the emissivity of other surfaces in the field.</p>
Evaluation of MEMS NIR spectrometers for on-farm analysis of raw milk composition
<p>Today, measurement of raw milk quality and composition relies on Fourier-transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle rendering them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affordable cost could bring a solution for this discrepancy. This paper evaluates the performance of Micro-Electro-Mechanical-System (MEMS) based near-infrared (NIR) spectrometers as on-farm milk analysers. These spectrometers use Fabry-Pérot interferometers for wavelength tuning, giving them the advantage of very compact size and affordable price. This study discusses the ability of MEMS spectrometers to reach the accuracy limits set by ICAR for at-line analyzers of the milk content regarding fat, protein and lactose. According to achieved results, the transmission measurements with the NIRONE2.5 spectrometer perform best, with an acceptable root mean squared error of prediction (RMSEP=0.21% w/w) for the measurement of milk fat and excellent performance (RMSEP≤0.11% w/w) for protein and lactose. In addition, the transmission measurements using the NIRONE2.0 module give similar results for fat and lactose (RMSEP of 0.21 and 0.10% w/w respectively), while the prediction of protein is slightly deteriorated (RMSEP=0.15% w/w). These results show that the MEMS spectrometers can reach sufficient accuracy for at-line and in-line fat, protein and lactose prediction.</p>
VIPER Neutron Spectrometer System Thermal Ground Calibration Data
<p>Thermal calibration data for NSS in the form of a thermistor lookup table CSV and PDS4 compliant XML label. </p>
ATom: L2 Measurements from CU High-Resolution Aerosol Mass Spectrometer (HR-AMS)
This dataset provides the atmospheric concentrations of separated ions from inorganic and organic species measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS) collected during flights of the NASA ATom Mission. Data are available from all four ATom Campaigns. The HR-AMS detects non-refractory submicron aerosol composition by impaction on a vaporizer at 600 degrees C, followed by electron ionization and time-of-flight mass spectral analysis. The measurements include chemically speciated submicron non-refractory particulate mass at a one second and 60 second resolution, and the size distribution of chemically speciated submicron non-refractory particulate mass at 60 second resolution.
ATom: In Situ Data from Caltech Chemical Ionization Mass Spectrometer (CIT-CIMS), V2
This dataset provides the concentrations of gas-phase organic and inorganic analytes measured by the California Institute of Technology (CIT) Chemical Ionization Mass Spectrometer (CIMS), or CIT-CIMS, flown on the NASA DC-8 aircraft during the four ATom campaigns. The CIT-CIMS employs CF3O-ion chemistry with two independent mass spectrometers (compact time-of-flight and triple quadrupole) to enable sensitive and specific measurements of atmospheric trace gases. The measurements include hydrogen peroxide (H2O2), hydrogen cyanide (HCN), nitric acid (HNO3), methyl hydrogen peroxide (CH3OOH), peroxyacetic acid (C2O3H4), peroxynitric acid (HO2NO2), and sulfur dioxide (SO2), in units of parts-per-trillion-by-volume.
ATom: Nucleation Mode Aerosol Size Spectrometer Calibration and Performance Data
This dataset provides extensive calibration and in-flight performance data for two nucleation mode aerosol size spectrometer (NMASS) instruments utilized in the NASA Atmospheric Tomography Mission (ATom). Each NMASS has five condensation particle counters (CPCs) that detect particles above a different minimum size, determined by the maximum vapor supersaturation encountered by the particles. Operated in parallel, the CPCs provide continuous concentrations of particles in different cumulative size classes between 3 and 60 nm. Knowing the response function of each CPC, numerical inversion techniques were applied to recover size distributions from the continuous concentrations. Data provided include: NMASS counting efficiencies and diameters of calibration aerosols, inverted particle size distributions; comparisons of NMASS and Scanning Mobility Particle Sizer (SMPS) results; and performance at flows, temperatures, and pressures measured by both NMASSs and comparison with Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) concentrations collected on board the NASA DC-8 aircraft during an ATom flight in February 2017.
GPM GROUND VALIDATION CLOUD SPECTROMETER AND IMPACTOR (CIP) LPVEX V1
The GPM Ground Validation Cloud Spectrometer and Impactor (CIP) LPVEx dataset provides particle size spectra for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment. Data was collected by the Cloud spectrometer and impactor (CIP) and 2D-S (2-dimensional stereo probe) aboard the University of Wyoming King Air flown in Finland during the Light Precipitation Validation Experiment (LPVEx) from August to October 2010. Lat, lon, altitude, pressure, and temperature are provided with the total concentration of particles with diameter greater than 100 microns.
CLAMS ER-2 Moderate Resolution Imaging Spectrometer (MODIS) Airborne Simulator (MAS)
CLAMS_ER2_MAS data were collected during the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) experiment with the objective to combine long term ocean spectral surface observations with satellite and aircraft measurements to enhance our knowledge of ocean surface reflections and aerosols.The MODIS Airborne Simulator (MAS) is an airborne scanning spectrometer that acquires high spatial resolution imagery of cloud and surface features from its vantage point on-board a NASA ER-2 high-altitude research aircraft. Data acquired by the MAS help to define, develop, and test algorithms for the Moderate Resolution Imaging Spectroradiometer (MODIS), a key sensor of NASA's Earth Observing System (EOS). The MODIS program emphasizes the use of remotely sensed data to monitor variation in environmental conditions for assessing both natural and human-induced global change.The MAS spectrometer acquires high spatial resolution imagery in the range of 0.55 to 14.3 microns. A total of 50 spectral bands are available in this range. Pre-1995 the digitizer was configured for each mission to record a pre-selected group of 12 bands during the flight. For most of these missions the digitizer was configured to record four 10-bit channels and seven 8-bit channels. A 50-channel digitizer which records all 50 spectral bands at 12 bit resolution became operational in January 1995.The MAS spectrometer is mated to a scanner sub-assembly which collects image data with an IFOV of 2.5 mrad, giving a ground resolution of 50 meters from 20000 meters altitude, and a cross track scan width of 85.92 degrees.
ATom: L2 Particulate Iodine from High-Resolution Aerosol Mass Spectrometer (HR-AMS)
This dataset provides mass concentrations of particulate iodine as measured by the High-Resolution Aerosol Mass Spectrometer (HR-AMS) during the first two deployments of the NASA Atmospheric Tomography airborne missions (ATom-1 and ATom-2) in 2016 and 2017, respectively. The data provided in this dataset result from a reanalysis of the initial HR-AMS data based on post-mission calibrations and are reported at 1-minute resolution. The dataset also includes the fractions of the main ions (I+, HI+, and I2+) that can be used to ascertain the oxidation state of iodine in particles. Each observation includes an air mass classification flag (tropospheric or stratospheric conditions) based on collocated in situ water vapor and ozone measurements and positional data from the HR-AMS data feed.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.