Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
203
datasets available to search
ShareScore release 0.9.0
Dataset results
203 results for “Near infrared spectroscopy”
Near-Infrared Spectroscopy for Pediatric Acute Scrotum and Testicular Torsion
ClinicalTrials.gov study NCT01812109. IPD Sharing: Not stated. Countries: 1. Publications: 4.
DATA SET: Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies
<p>This repository contains the data sets of the article:</p> <p>P. Fernández Esteberena et al. (2024). Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies. <em>Biomedical Optics Express</em>. <a href="https://doi.org/10.1364/BOE.538141">https://doi.org/10.1364/BOE.538141</a></p>
A near infrared spectroscopy dataset of coal and coal-measure rock under diverse conditions
<p>we selected 24 representative coal and coal-measure rock samples, created sub-samples with 11 different granularity for each sample, and collected spectral data from the sub-samples under 5 different detection azimuths, 18 different detection zeniths, and 8 different light source zeniths. Our near infrared spectroscopy dataset of coal and coal-measure rock will provide valuable data support for coal and coal-measure rock identification based on near-field spectroscopy.</p>
Competing Technologies: Determining the Geographical Origin of Strawberries (Fragaria × ananassa) using laboratory based Near-Infrared Spectroscopy compared to a simple portable device
<p><span>The application and development of fast and simple screening methods for the authentication of foods has increased continuously in recent years. A widely used analytical technique is Fourier transform near-infrared spectroscopy (FT-NIR). Despite the simple application of FT-NIR analysis, the analyses are usually carried out on benchtop devices in the laboratory. However small, inexpensive and mobile NIR devices could be used on-site. Despite the simple use of FT-NIR analysis, the examinations are usually carried out on a stationary benchtop device in a laboratory. However, in order to be able to perform the application directly on site, the application of small, cost-effective and mobile NIR devices for food analysis is crucial. In this study, both, a benchtop NIR instrument and a handheld NIR device with a lower resolution and analyzed wavenumber range were applied for the differentiation of strawberries from different geographical origins. Distinguishing German and non-German strawberries using linear discriminant analysis (LDA) yielded an accuracy of 91.9 % and 84.0 % using the benchtop and the handheld devices, respec-tively. Relevant variables could be assigned to lipids, carbohydrates and proteins. Overall, our study demonstrated for the first time that analyzing the geographical origin of strawberries using NIR spectroscopy is also possible by means of a handheld device.</span></p>
FIGURE 5 in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 5. Discriminant analysis of the entire spectrum in which each species has a unique symbol. A) Note that intraspecific variation is so small that the entire set of points per individual is encompassed by the one point for the species. B) Amplification of one point (one species, N. neoaustralis) illustrates the small intraspecific variation. DF (1, 2 and 3) indicate the discriminant functions.
FIGURE 3 in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 3. NIR spectra of nine species of Neodexiopsis after pre-processing (see text) in which each line is the spectra of each of the 67 specimens. The regular divisions are the minimal intervals that have information to discriminate the nine species simultaneously in the DA.
FIGURE 2 in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 2. Illustrative diagram of the use of NIR spectroscopy with insects. A) Light source, B) Detector, C) Diffuse reflectance accessory (see text).
FIGURE 4. A in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 4. A) PCA of three species based on the spectra without transformations. Yellow triangles (N. paranensis), green circles (N. rustica) and purple circles (N. vulgaris). Explained variation: PC1=99%, PC2= 0.9%, PC3<0.01%. B) PCA of the same species as Figure 4A, based on the spectra with transformations. Explained variation: PC1=68%, PC2=10%, PC3=4%.
FIGURE 6. A in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 6. A) First interval, between 1019.56–1088.50 nm. B) Interval 15, 2052.22–2121.15 nm. DF (1, 2, 3) indicate the first three discriminant functions.
FIGURE 7 in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 7. Discriminant analysis based on 50 points between 2052.22–2086.69 nm. This region comprises the first half of the region used in Figure 4B. DF indicates discriminant functions.
FIGURE 1. A in Barcoding without DNA? Species identification using near infrared spectroscopy
FIGURE 1. A fly in the accessory for diffuse reflectance (see text). The fly is pinned on a piece of Styrofoam.
NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy
<p>The data from publication "NEMO: A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy".<br> <br> <code>nemo-bids.zip</code> contains the raw optical density (OD) recordings and corresponding metadata for each participant.</p> <p><code><task_id>_csv.zip</code> provides an easy way to access the processed <a href="https://mne.tools/stable/auto_tutorials/epochs/10_epochs_overview.html">epochs</a> data without needing any code from the code repository or other BIDS tools.</p> <p><code>NEMO_additional_metadata.tsv</code> contains additional details, such as subject's age, monitor refresh rate, gender, handedness, recording date and time, specifics about different trial types, and more. Detailed descriptions of each column can be found in the <code>NEMO_additional_metadata_column_descriptions.tsv</code> file.</p> <p>For how to use the data, refer to <a href="https://github.com/Cognitive-Computing-Group/NEMO">https://github.com/Cognitive-Computing-Group/NEMO</a></p>
The Effect of Percutaneous Superior Venae Cava Cannulation Clamping on Cerebral Near Infrared Spectroscopy in MICS
ClinicalTrials.gov study NCT01166841. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Identifying Cerebral Hemodynamic Patterns in Mood Disorders and Mild Cognitive Impairment: A Functional Near-Infrared Spectroscopy (fNIRS) Study
ClinicalTrials.gov study NCT06897670. IPD Sharing: NO. Countries: 1. Publications: 7.
Multi-site Near Infrared Spectroscopy (NIRS) Monitoring of Children During Exercise
ClinicalTrials.gov study NCT00556231. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Assessment of Microcirculation Alteration With Both Sublingual Microcirculation and Near-infrared Spectroscopy on ARDS
ClinicalTrials.gov study NCT05180409. IPD Sharing: NO. Countries: 1. Publications: 55.
Multi-channel Time-resolved Functional Near Infrared Spectroscopy for Prevention of Perioperative Brain Injury
ClinicalTrials.gov study NCT05752981. IPD Sharing: NO. Countries: 1. Publications: 20.
Multi-Site Near Infrared Spectroscopy (NIRS) Monitoring of Children During Tilt Table Testing
ClinicalTrials.gov study NCT00659464. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Near Infrared Spectroscopy (NIRS) as a Biomarker of Delirium in Hospitalized Older Adults Doing Physical Exercise
ClinicalTrials.gov study NCT05442892. IPD Sharing: YES. Countries: 1. Publications: 1.
Non-invasive Characterization of Systemic Microvascular Reactivity by Near-infrared Diffuse Optical Spectroscopy in COVID-19 Patients
ClinicalTrials.gov study NCT04689477. IPD Sharing: Not stated. Countries: 4. Publications: 1.
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.