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235 results for “spectroscopic”
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
<p>Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane.</p> <p>Figure 6: Astrometric trends<br> trend.dat</p> <p>Figure 7: Deformation residuals<br> gfa-south-west.dat</p> <p>Figure 10: Turbulence<br> e2c.dat<br> b2c.dat</p> <p>Figure 11: Turbulence Corrected<br> turbcorr.dat</p> <p>Figure 13: Quiver residuals<br> quiver-R.dat</p> <p>Figure 14: Dither offsets<br> dither20220518-R.dat</p> <p>Figure 15: Chromatic residuals<br> chromatic.dat</p> <p>Figure 16: Temperature dependence<br> tempscale.dat<br> </p>
SPECTACL: SPECTroscopic Assessment of Coronary Lipid
ClinicalTrials.gov study NCT00330928. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Spectroscopic MRI-Guided Radiation Therapy Planning in Glioblastoma
ClinicalTrials.gov study NCT03137888. IPD Sharing: NO. Countries: 1. Publications: 3.
Spectroscopic data for the total synthesis of brevianamide S
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Spectroscopic investigations of negatively charged tin-vacancy centres in diamond
<p>Spectroscopic investigations of negatively charged tin-vacancy centres in diamond<br> The recently discovered negatively charged tin-vacancy centre in diamond is a promising candidate for applications in quantum information processing (QIP). We here present a detailed spectroscopic study encompassing single photon emission and polarisation properties, the temperature dependence of emission spectra as well as a detailed analysis of the phonon sideband and Debye–Waller factor. Using photoluminescence excitation spectroscopy we probe an energetically higher lying excited state and prove fully lifetime limited linewidths of single emitters at cryogenic temperatures. For these emitters we also investigate the stability of the charge state under resonant excitation. These results provide a detailed insight into the spectroscopic properties of the SnV− centre and lay the foundation for further studies regarding its suitability in QIP.</p>
RotconML: A theoretical dataset for machine learning of spectroscopic parameters
<p>This dataset comprises ~83,000 small organic molecules containing [H,C,O,N], with structures and harmonic frequency calculations performed at the ωB97X-D/6-31+G(d) level of theory with Gaussian '16.</p> <p>The purpose of this dataset is for training machine learning models—in particular, for use in rotational spectroscopy and identifying unknown molecules from spectroscopic parameters. Details of the model and the data can be found <a href="https://pubs.acs.org/doi/10.1021/acs.jpca.0c01376">in this paper</a>.</p> <p>This particular combination of electronic structure method and basis set was benchmarked in earlier work to provide relatively low uncertainties in the predicted rotational constants, and through a cancellation of errors, provides equilibrium constants that are extremely close to the vibrationally averaged (experimental) values. <a href="http://10.1021/acs.jpca.9b09982">More details can be found in this paper</a>.</p> <p> </p> <p>The dataset is included as a comma-separated value (CSV) file, which can be a little difficult to parse as plain text; I recommend using the `pandas` Python package to parse and manipulate as a Dataframe instead. The columns of this dataset include: rotational constants, moments of inertia and derived values (such as inertial defect and asymmetry parameter), harmonic frequencies and intensities, dipole moments, zero-point energy, the electronic energy, the cartesian coordinates, the SMILES identifier, the final energy difference after optimization, and the molecular mass.</p> <p> </p> <p>For more details, users are referred to our papers above and/or contact the author. If you are using this dataset for your research/work, please cite this Zenodo entry, and this reference:</p> <p>McCarthy, M.; Lee, K. L. K. Molecule Identification with Rotational Spectroscopy and Probabilistic Deep Learning. <em>J. Phys. Chem. A</em> <strong>2020</strong>, <em>124</em> (15), 3002–3017. <a href="https://doi.org/10.1021/acs.jpca.0c01376">https://doi.org/10.1021/acs.jpca.0c01376</a>.</p>
Comparability of Raman Spectroscopic Configurations: A Large Scale Cross-Laboratory Study
<p><strong>Slightly processed raw data for the paper 'Comparability of Raman Spectroscopic Configurations: A Large Scale Cross-Laboratory Study'</strong></p> <ul> <li>The processing include a spike removal to allow an interpolation to a common wavenumber axis.</li> <li>Always three files belong to each other: wavenumber axis file (wx_XYZ), spectral intensity file (spec_XYZ) and metadata file (meta_XYZ). The ‘XYZ’ refers to the samples measured (see the publication and its SI for details).</li> </ul>
The mock samples for high-z spectroscopic galaxy survey
<p>The mock samples for high-z spectroscopic galaxy survey. The dataset includes zCOSMOS, VIPERS and PFS-like galaxy survey's mock samples. The final design of PFS galaxy survey is not determined. So if you want to get the PFS-like mocks, please contact meng.jiacheng@foxmail.com or go to https://lig.astro.tsinghua.edu.cn/astrodata.</p> <p>The files named as "lu14_zcosmos_mock_index.h5df" are mocks for zCOSMOS survey. The files named as "lu14_w1_mock_index.h5df" and "lu14_w4_mock_index.h5df" are mocks for VIPERS survey, where "w1" and "w4" represent the two fields of VIPERS survey. Index is from 0 to19, representing the 20 mocks with different direction of line-of-sight when constructing mocks. The meanings of the keys in hdf5 files are as follows:</p> <ul> <li>"ra" and "dec": coordiantes;</li> <li>"z_spec" and "z_phot": spectroscopic redshift and photometric redshift;</li> <li>"stellar_mass": stellar mass;</li> <li>"sfr": star formation rate;</li> <li>"halo_mass": halo mass;</li> <li>"group_index": ID of the galaxy group for the given galaxy;</li> <li>"central_flag": 1 for central galaxy, 0 for satellite galaxy;</li> <li>"m_*": apparent magnitude;</li> <li>"M_*": absolute magnitude;</li> <li>"flag": 0 for no observation, 1 for galaxy having spectroscopic redshift, others for galaxy only having photometric redshift;</li> <li>"snap": the snapshot of the model galaxy;</li> <li>"model_index": the ID of the model galaxy;</li> <li>"box_index": the box ID where the model galaxy are in when constructing mocks.</li> </ul>
Data from "Single-molecule fluorescence multiplexing by multi-parameter spectroscopic detection of nanostructured FRET labels"
<p>Source data for all figures; full table of all nucleic acid sequences used; Supplementary Video 1 showing rotating view of Fig. 4e.</p>
Table A.4: Spectroscopic binaries, triples, and quadruples
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Spectroscopic data from PHS (lab characterization)
<p>Visible and Near infrared spectroscopic data from PHS deposit taken in lab condition. </p>
NMR Spectroscopic data for aspidoreticulofractine
<p>NMR Spectroscopic data for aspidoreticulofractine, isolated from Melodinus reticulatus (Apocynaceae)</p>
Double-lined spectroscopic binaries in the open cluster M 11 (NGC 6705)
<p>Figures with spectral fits for 265 Gaia-ESO spectra for open cluster M 11 (NGC 6705), analysed by single-star and binary spectroscopic models. </p> <p>Kovalev M., Straumit I., 2022, MNRAS, 510, 1515</p> <p>also used in arxiv 2207:06996</p>
Supplementary material 1 from: Giurginca A, Šustr V, Tajovský K, Giurginca M, Matei I (2015) Spectroscopic parameters of the cuticle and ethanol extracts of the fluorescent cave isopod Mesoniscus graniger (Isopoda, Oniscidea). In: Taiti S, Hornung E, Štrus J, Bouchon D (Eds) Trends in Terrestrial Isopod Biology. ZooKeys 515: 111–125. https://doi.org/10.3897/zookeys.515.9395
Autofluorescence of living Mesoniscus graniger: Explanation note: Living Mesoniscus graniger individuals recorded by Canon EOS camera on the cave sediment inside Ardovská Cave (Slovak Karst, Slovakia) under white LED lamp and UV lamp consecutively.
ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region
<p>The database contains molecular absorption line parameters obtained within the framework of the esa project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.</p> <p>FTS and CRDS measurements (performed at the German Aersopace Center (DLR) and at Université Grenoble Alpes) were analyzed in the spectral range 4190-4340 cm<sup>-1</sup> within the framework of the esa project SEOM-IAS resulting in an improved line parameter database of H<sub>2</sub>O, CH<sub>4</sub> and CO absorption lines according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The parameters are compiled in three ASCII files, one for each molecule (CH4_sigma_S_air_broadening_Tdep_May17_V3.hit, H2O_May17_V3.hit, CO_Sep16.hit).</p>
Experimental microwave spectroscopic and quantum-chemical investigation of the HCl(H2O)n (n=1-5,7) molecular clusters
<p>In this dataset, experimental microwave rotational spectroscopy data and corresponding theoretical calculations for the HCl(H2O)n (n=1-5,7) clusters are stored. </p>
The spectroscopic confirmation of two luminous galaxies at z~14
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The Cetus stream memberlist with high-resulotion spectroscopic followup
<p>The memberlist of the Cetus stream with [Fe/H] and radial velocity from HR spectroscopy</p>
Dataset for the paper "Electrochemical and Spectroscopic Characterisation of Organic Molecules with High Positive Redox Potentials for Energy Storage in Aqueous Flow Cells", DOI:10.1039/d4ya00366g
<table> <tbody> <tr> <td>The data in this spreadsheet was used to produce the figures in the paper</td> </tr> <tr> <td>Authors:</td> <td>Christopher G. Cannon, Peter A. A. Klusener, Nigel P. Brandon, and Anthony R. J. Kucernak</td> </tr> <tr> <td>Title:</td> <td>Electrochemical and Spectroscopic Characterisation of Organic Molecules with High Positive Redox Potentials for Energy Storage in Aqueous Flow Cells</td> </tr> <tr> <td>Journal:</td> <td>Energy Advances</td> </tr> <tr> <td>DOI:</td> <td>DOI:10.1039/d4ya00366g</td> </tr> <tr> <td>Please cite the above reference if you wish to use this data</td> </tr> <tr> <td> </td> <td> </td> </tr> <tr> <td>DOI of data:</td> <td><span>10.5281/zenodo.13712672</span></td> </tr> </tbody> </table>
Raman spectral data for ''The evaluation of space weathering effects on lunar samples from a Raman spectroscopic perspective''
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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.