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.
81
datasets available to search
ShareScore release 0.9.0
Dataset results
81 results for “Raman data”
Data from: Facile fabrication of microfluidic surface-enhanced raman scattering devices via lift-up lithography
We describe a facile and low-cost approach for flexible integration surface-enhanced Raman scattering (SERS) substrate in microfluidic chips. Briefly, a SERS substrate was fabricated by electrostatic assembly of gold nanoparticles, and shaped into designed patterns by the subsequent lift-up soft lithography. The SERS micropattern could be further integrated within microfluidic channels conveniently. The resulting microfluidic SERS chip allows one to ultrasensitively in-situ SERS monitor from the transparent glass window. With its advantages in simplicity, functionality, and cost-effectivity, this method can be readily expanded in optical microfluidic fabrication for biochemical applications.
Comparison of dimensional reduction methods in Raman spectral data of mouse uterus and placenta tissues
Open the record for dataset details and reuse information.
Supplementary data to 'Feedbacks and non-linearity of silicate glass alteration in hyperalkaline solution studied by in operando fluid-cell Raman spectroscopy'
<p>Additiona data to published article:</p> <p>Müller G., Fritzsche M. B. K., Dohmen L. and Geisler T. (2022) Feedbacks and non-linearity of silicate glass alteration in hyperalkaline solution studied by in operando fluid-cell Raman spectroscopy. Geochim. Cosmochim. Acta 329, 1–21.<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.gca.2022.05.013" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.gca.2022.05.013</span></span></a></p>
Raman data
Open the record for dataset details and reuse information.
Data from: Portable bacteria-capturing chip for direct surface-enhanced Raman scattering identification of urinary tract infection pathogens
Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, which affect almost 50% of the population at least once in their lifetime. UTIs may lead to lethal consequences if they are left undiagnosed and untreated properly. Early, rapid and accurate uropathogens detection methods play a pivotal role in clinical process. In this work, a portable bacteria-grasping surface-enhanced Raman scattering (SERS) chip for identification of three species of uropathogens (E. coli CFT 073, P. aeruginosa PAO1, and P. mirabilis PRM1) directly from culture matrix was reported. The chip was firstly modified with a positively-charged NH3+ group, which enable itself grasp the negatively-charged bacterial cells through the electrostatic adsorption principle. After the bacterial cells were captured by the chip, concentrated Ag nanoparticles (NPs) were used to obtain their Raman fingerprint spectra with recognizable characteristic peaks and good reproducibility. With the help of chemometric method such as discriminant analysis (DA), the SERS based chip allows a rapid, successful identification of three species of UTI bacteria with a minimal bacterial concentration (105 cells/mL) required for clinical diagnostics. In addition, this chip could spot the bacterial SERS fingerprints information directly from LB culture medium and artificial urine without sample pre-treatment. The portable bacteria-grasping SERS based chip provides a possibility for fast and easy detection of uropathogens, and viability of future development in healthcare applications.
Raman data for "Environmental and physiochemical controls on coral calcification along a latitudinal temperature gradient in Western Australia"
<p>This file contains the Raman data and code for "Environmental and physiochemical controls on coral calcification along a latitudinal temperature gradient in Western Australia" by Ross et al. in Global Change Biology. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: https://onlinelibrary.wiley.com/doi/10.1111/gcb.14488</p>
Weng et al._Single Cell Raman Microspectroscopy Data
<p>Single Cell Raman Microspectroscopy Data for Stable Isotope Probing of bacterial carotenoids and other biomass.</p>
Raw Raman data of Mycobacterium bovis BCG, Rhodococcus erythropolis, & Corynebacterium glutamicum
<p>Even in the face of the COVID-19 pandemic, Tuberculosis (TB) continues to be a major public health problem and the 2nd biggest infectious cause of death worldwide. There is, therefore, an urgent need to develop effective TB diagnostic methods, which are cheap, portable, sensitive and specific. Raman spectroscopy is a potential spectroscopic technique for this purpose, however, so far, research efforts have focused primarily on the characterisation of Mycobacterium tuberculosis and other Mycobacteria, neglecting bacteria within the microbiome and thus, failing to consider the bigger picture. It is paramount to characterise relevant Mycobacteriales and develop suitable analytical tools to discriminate them from each other. Herein, through the combined use of Raman spectroscopy and the self-optimising Kohonen index network and further multivariate tools, we have successfully undertaken the spectral analysis of Mycobacterium bovis BCG, Corynebacterium glutamicum and Rhodoccocus erythropolis. This has led to development of a useful tool set, which can readily discern spectral differences between these three closely related bacteria as well as generate a unique spectral barcode for each species. Further optimisation and refinement of the developed method will enable its application to other bacteria inhabiting the microbiome and ultimately lead to advanced diagnostic technologies, which can save many lives. </p>
Data from: In situ analysis of a silver nanoparticle-precipitating Shewanella biofilm by surface enhanced confocal Raman microscopy
Open the record for dataset details and reuse information.
Data from: Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation
Open the record for dataset details and reuse information.
Raw Raman data of Mycobacterium bovis BCG, Rhodococcus erythropolis, & Corynebacterium glutamicum
Open the record for dataset details and reuse information.
Data from: Facile fabrication of microfluidic surface-enhanced raman scattering devices via lift-up lithography
Open the record for dataset details and reuse information.
Data from: Portable bacteria-capturing chip for direct surface-enhanced Raman scattering identification of urinary tract infection pathogens
Open the record for dataset details and reuse information.
Data from: Specificity and strain-typing capabilities of Nanorod Array-Surface Enhanced Raman Spectroscopy for Mycoplasma pneumoniae detection
Open the record for dataset details and reuse information.
First ISCCP Regional Experiment (FIRE) Cirrus Phase II Raman Lidar Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The GSFC Raman Lidar water vapor mixing ratio (wvmr) data with altitudes and times were collected for the period from 13 Nov 1991 to07 Dec 1991. Data were collected at night and consists of a series of one minute profiles. Data are summed for one minute in the detectors and saved to a file. For the 10 minute averaged data, the data are summed for 10 minutes before the calculations are performed. Each profile has a 75 meter resolution from 0.4135 to 10.299 kilometers. Zero (0) km means sea level. The site altitude is 0.229 km and thefirst data point is at 0.1845 km above ground level.
Raman data for "A coralline alga gains tolerance to ocean acidification over multiple generations of exposure"
<p>This file contains the Raman data and code for "A coralline alga gains tolerance to ocean acidification over multiple generations of exposure" by Cornwall et al. in Nature Climate Change. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details (doi will be provided here when it becomes available).</p>
Research data supporting "In Vivo Biomolecular Imaging of Zebrafish Embryos using Confocal Raman Spectroscopy"
<p>Research raw data supporting Hogset et al., "In vivo biomolecular imaging of zebrafish embryos using confocal Raman spectroscopy", 2020, Nature Communications.</p>
Ultraviolet Raman spectra data
Open the record for dataset details and reuse information.
Raman spectroscopic data from tube furnace and natural wildfire Calluna charcoals, with accompanying wildfire thermocouple data.
<p>These datasets include Raman spectral parameters collected from <strong>a)</strong> tube furnace-pyrolysed charcoals, made from <em>Calluna vulgaris</em> (Ling Heather) at 400, 600, 800 and 1000 degrees centigrade, and <strong>b)</strong> wildfire charcoals (<em>Calluna vulgaris</em>) produced and collected during a prescribed heathland burn in Aberdeenshire, Scotland. Accompanying these data includes thermocouple (fire temperature) readings from the heathland fire, corresponding directly to charcoal samples analysed using Raman spectroscopy (b). </p> <p>With regards to the derivation of this Raman data, deconvolution utilising two first order bands (D & G) was implemented, and median values for each spectrum were produced. Following this, D- and G-band width (FWHM), intensity (ID/IG or 'R1') and area (AD/AG) ratios, band separation (G-D or 'RBS'), and band width ratio (FWHMRa) parameters were calculated and applied. For geothermometry of wildfire charcoals, a linear equation was determined from FWHMRa median values - produced by the spectroscopy of tube furnace charcoals between 400 and 1000 degrees centigrade (a).</p>
Raman and FTIR data from screening of macrophages from miR-155 knockout mice with and without in-vitro stimulation
Open the record for dataset details and reuse information.
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.