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270
datasets available to search
ShareScore release 0.9.0
Dataset results
270 results for “near-infrared”
Transcranial Near-Infrared Light in Healthy Subjects: a Cerebral Blood Flow Study With Diffuse Correlation Spectroscopy
ClinicalTrials.gov study NCT03740152. IPD Sharing: NO. Countries: 1. Publications: 0.
Using Near-Infrared Spectroscopy Devices to Assess Myocardial and Visceral Perfusion During Complex Congenital Cardiac Surgery
ClinicalTrials.gov study NCT07361523. IPD Sharing: NO. Countries: 0. Publications: 16.
Study on the Antidepressant Effects and Mechanism of Action of Cang-ai Volatile Oil Based on Near-Infrared Functional Brain Imaging and the NT-Trk Signalling Pathway
ClinicalTrials.gov study NCT07384312. IPD Sharing: NO. Countries: 1. Publications: 0.
Neurocognitive Effects of Non-Invasive Near-Infrared Light Stimulation
ClinicalTrials.gov study NCT05802680. IPD Sharing: YES. Countries: 1. Publications: 0.
Traumatic Brain Injury in Veterans and Near-Infrared Phototherapy
ClinicalTrials.gov study NCT02635516. IPD Sharing: YES. Countries: 0. Publications: 12.
Combined Effects of Near-Infrared Light and Vibration on Diabetic Patients With Restless Leg Syndrome
ClinicalTrials.gov study NCT07308080. IPD Sharing: NO. Countries: 0. Publications: 3.
Autism Research Project With Non-Invasive Near-Infrared Light Stimulation
ClinicalTrials.gov study NCT06203938. IPD Sharing: YES. Countries: 1. Publications: 0.
Randomized-controlled Trial of a Combined vs. Conventional Percutaneous Intervention for Near-Infrared Spectroscopy Defined High-Risk Native Coronary Artery Lesions
ClinicalTrials.gov study NCT02601664. IPD Sharing: Not stated. Countries: 0. Publications: 5.
Data from: Near-infrared spectroscopy for metabolite quantification and species identification
Open the record for dataset details and reuse information.
Data from: The microstructure of white feathers predicts their visible and near-infrared reflectance properties
Open the record for dataset details and reuse information.
Data from: Toward translating near-infrared spectroscopy oxygen saturation data for the non-invasive prediction of spatial and temporal hemodynamics during exercise
Open the record for dataset details and reuse information.
Visible and Near-Infrared Leaf Reflectance Spectra, 1992-1993 (ACCP)
The leaf spectra datasets contain visible and near infrared reflectance spectra data for both fresh and dry leaf samples collected in the ACCP. These samples are from Blackhawk Island, WI, Harvard Forest, MA, Howland, ME, Jasper Ridge, CA field sites and the Douglas fir and bigleaf maple seedling canopy study sites. Data reported for each sample is absorbance [log(1/Reflectance)] from 400-2498nm at 2nm intervals and a resolution of 10nm. These data were collected for the purpose of determining the relationship of foliar chemical concentrations with visible and near infrared wavelength reflectance spectra.. Both multiple linear regression and partial least square regression techniques have been used to relate lab chemistry data to spectral reflectance. ORNL DAAC maintains information on the entire ACCP.
Gene expression in a 3-dimensional reconstructed human corneal epithelial tissue after near-infrared irradiation simulating solar near-infrared radiation that reaches human tissues on the Earth’s surf
GEO Series GSE76500. Homo sapiens. 4 samples. Type: Expression profiling by array.
Near-infrared light-driven metabolic reprogramming of synoviocytes for the treatment of rheumatoid arthritis
GEO Series GSE294905. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
The Influence of Stellar Contamination on the Interpretation of Near-Infrared Transmission Spectra of Sub-Neptune Worlds around M-Dwarfs
<p>Supplementary Figures displaying posterior probability distributions of all simulation scenarios discussed in <em><strong>The Influence of Stellar Contamination on the Interpretation of Near-Infrared Transmission Spectra of Sub-Neptune Worlds around M-dwarfs. </strong></em></p> <p>Arxiv link to the paper: https://arxiv.org/abs/1912.04389</p> <p>The directory structure is as follows: </p> <p>1) 30ppm_JWST_NIRISS_BIAS: Cases with varying levels of stellar contamination and varying planetary atmospheric scenarios (clear/cloudy/high-metallicity) over the JWST NIRISS-like bandpass with 30ppm spectro-photometric precision. Here we show that there is a bias incurred in the retrieval results when fitting with a model not accounting for the stellar contamination correction.</p> <p>2) 30ppm_JWST_NIRCAM_BIAS: Case of 14% spot and 63% faculae over the JWST-NIRCam like bandpass with 30ppm precision for a cloudy atmosphere planet.</p> <p>3) JWST_NIRISS_VARY_PRECISION: Cases with varying levels of stellar contamination for a high-metallicity+cloudy planetary atmosphere exploring different JWST precisions from 15-120ppm. Here we show that the bias incurred when retrieving with the uncorrected atmosphere model persists over our grid of JWST sensitivities with increasing levels of stellar contamination. However, this bias is not noteworthy for spot-covering fractions below 1%. </p> <p>4) 30ppm_JWST_NIRISS_NO_IMPROVEMENT_WITH_JOINT_RETRIEVAL_OF_STELLAR_SPECTRUM: Case of 12% spot covering fraction with a high-metallicity+cloudy planetary atmosphere (with 30ppm precision over NIRISS-like bandpass) shows no improvement in the precision of planetary temperature, metallicity, and carbon-to-oxygen ratio despite acquiring improved constraints on the stellar contamination parameters directly from the disk-integrated spectrum of the star. </p> <p>5) 30ppm_JWST_NIRISS_STELLAR_MODEL_DIFF_BIAS: Case of 12% spot covering fraction with a high-metallicity+cloudy planetary atmosphere (with 30ppm precision on the NIRISS-like bandpass range) incorporating "realistic" stellar contamination with a different stellar model. Here we show that there is a bias that arises in the retrievals due to generational stellar model differences (also mimicking stellar model-data differences in our example case) despite including the correction for stellar contamination. Our work suggests that planetary parameter retrievals, despite correcting for stellar contamination are heavily dependent on an accurate characterization of the stellar photosphere. </p> <p>*** In addition to the supplementary figures in the above mentioned directories, you can also access a high-resolution version of Figure 10 from the paper, accompanied by the full retrieval corner plot illustrating bias induced due to stellar model differences. </p> <p>*These figures have made use of the pygtc plotting routine for displaying posterior probability distribution corner plots (Bocquet et al, (2016), pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms), Journal of Open Source Software, 1(6), 46, doi:10.21105/joss.00046)</p>
Data from: Shining new light on mammalian diving physiology using wearable near-infrared spectroscopy
Investigation of marine mammal dive-by-dive blood distribution and oxygenation has been limited by a lack of non-invasive technology for use in freely diving animals. Here, we developed a non-invasive near-infrared spectroscopy (NIRS) device to measure relative changes in blood volume and haemoglobin oxygenation continuously in the brain and blubber of voluntarily diving harbour seals. Our results show that seals routinely exhibit preparatory peripheral vasoconstriction accompanied by increased cerebral blood volume approximately 15 s before submersion. These anticipatory adjustments confirm that blood redistribution in seals is under some degree of cognitive control that precedes the mammalian dive response. Seals also routinely increase cerebral oxygenation at a consistent time during each dive, despite a lack of access to ambient air. We suggest that this frequent and reproducible reoxygenation pattern, without access to ambient air, is underpinned by previously unrecognised changes in cerebral drainage. The ability to track blood volume and oxygenation in different tissues using NIRS will facilitate a more accurate understanding of physiological plasticity in diving animals in an increasingly disturbed and exploited environment.
Ca6BaP4O17:Mn5+ near-infrared emission data for luminescence thermometry
<p>1. ALLSPECTRA.zip Ca<sub>6</sub>BaP<sub>4</sub>O<sub>17</sub>:Mn<sup>5+ </sup>near-infrared emission spectra measured under 635 nm excitation</p> <p>2. ALLDATA.txt.zip Data for the evaluation of luminescence thermometry perfomance</p>
Study Evaluating Near-infrared Imaging Coupled With Indocyanine Green for Intraoperative Control of Resection Margins in ENT Surgery
ClinicalTrials.gov study NCT04842162. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
The Value of Indocyanine Green-guided Near-infrared Fluorescence Technology in Tracing Sentinel Lymph Nodes During Esophagectomy
ClinicalTrials.gov study NCT07303231. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Reliability of the Near-infrared Imaging System (VistaCam iX Proxi) in Comparison With Digital Radiographic Findings and ICDAS-II in Detection of Approximal Carious Lesions.
ClinicalTrials.gov study NCT03923192. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.