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Dataset results
76 results for “LiF”
Spectral library of laser-induced fluorescence (LiF) properties from Smithsonian rare-earth element (REE) orthophosphate standards
<p>The spectral library presents a data set of laser-induced fluorescence (LiF) spectra from rare-earth element (REE) orthophosphates provided and distributed as reference material for microbeam analysis by the Smithsonian National Museum of Natural History (sample IDs: 16484 - NMNH 168499; Jarosewich and Boatner, 1991; Donovan et al., 2002 and 2003). The data set delivers high-resolution LiF spectra excited at three standard laser wavelengths (325 nm, 442 nm, 532 nm) recorded in the UV-visible to near-infrared spectral range (340 - 1080nm). Presented LiF spectra represent data from efficient signal excitation conditions and contain the diagnostic emission lines of individual REE including detailed information on splitting into sub-levels. The LiF spectral library data provides a reference for various applications in spectroscopy-based material composition analysis with the scope of REE identification. LiF as a tool can complement the merging technique of reflectance spectroscopy, because LiF is a particularly well suited method for REE detection and can be used to cross-validate results (e.g. Lorenz et al. 2019) The LiF library allows for transparent and reproducible result analysis in scientific studies and promotes further developments of efficient automated algorithms for REE identification and characterisation. This addresses especially the need for innovative, non-invasive techniques of raw material exploration (securing REE supply) and material stream characterisation (e.g. in e-waste recycling) or for manifold applications in other fields of geosciences (e.g. geology) and physics.</p> <p>references:</p> <p>Donovan, J., Hanchar, J., Picolli, P., Schrier, M., Boatner, L., Jarosewich, E., 2002. Contamination in the rare-earth element orthophosphate reference sam- ples. J. Res. National Institute of Standards and Technology 106, 693–701. doi:10.6028/jres.107.056. </p> <p>Donovan, J., Hanchar, J., Piccoli, P., Schrier, M., Boatner, L., Jarosewich, E., 2003. A reexamination of the rare-earth element orthophosphate reference samples for electron microprobe analysis. Canadian Mineralogist 41, 221– 232. doi:10.2113/gscanmin.41.1.221. </p> <p>Jarosewich, E., Boatner, L., 1991. Rare-earth element reference samples for electron microprobe analysis. Geostandards Newsletter 15, 397–399. doi:10. 1111/j.1751-908X.1991.tb00115.x. </p> <p>Lorenz, S., Beyer, J., Fuchs, M., Seidel, P., Turner, D., Heitmann, J., Gloaguen, R., 2019. The Potential of Reflectance and Laser Induced Luminescence Spectroscopy for Near-Field Rare Earth Element Detection in Mineral Ex- ploration. Remote Sensing 11, 21. doi:10.3390/rs11010021.</p>
Supplementary files for "Influence of the Artificial Nanostructure on the LiF Formation at the Solid−Electrolyte Interphase of Carbon-Based Anodes"
<p>Databases containing DFT optimized structures used for the paper: ''Influence of the Artificial Nanostructure on the LiF Formation at the Solid−Electrolyte Interphase of Carbon-Based Anodes". For further details of the computational setup we refer to this paper.</p> <p>Each database contains structures for one carbon substrate. The structures can be retrieved using the Atomic Simulation Environment (ASE).</p>
LIF-based quantification of the species transport during droplet impact onto thin liquid films (Dataset)
<p>This database includes Supplementary Data and videos for <em>Experiments in Fluids </em>manuscript: LIF-based quantification of the species transport during droplet impact onto thin liquid films.</p> <p>Number of figure in the file name is changed:</p> <ul> <li>fig.2 to fig. 3</li> <li>fig.3 to fig. 4</li> <li>fig.4 to fig. 5</li> <li>fig.5 to fig. 6</li> <li>fig.8 to fig. 11</li> <li>fig.9 to fig. 12</li> <li>fig.10 to fig. 13</li> <li>fig.11 to fig. 14</li> <li>fig.12 to fig. 15</li> <li>fig.13 to fig. 16</li> <li>fig.14 to fig. 17</li> </ul> <p> </p>
Dataset from the paper entitled "Complex structure of molten FLiBe (2 LiF – BeF2) examined by experimental neutron scattering, X-ray scattering, and deep neural network-based molecular dynamics"
<p>Dataset from the paper entitled "Complex structure of molten FLiBe (2 LiF – BeF2) examined by experimental neutron scattering, X-ray scattering, and deep neural network-based molecular dynamics". These data include experimental total scattering measurements and molecular dynamics simulations on the molten structure of FLiBe. </p>
LiF data pack supporting "Observation of diffraction contrast in scanning helium microscopy"
<p>All the experimental data from the paper is included in this data pack including both the images and the z scans. </p> <p>Images from the paper are presented in three different formats with filenames scan00*****:</p> <p>1) .png file which is an unprocessed image of the raw data. <br> 2) .gwy file which is an unprocessed version of the data that can be opened in Gwyddion<br> 3) .mat file which contains all the measured data that can be opened in MATLAB</p> <p>The .mat file contains the most information and requires some explanation to easily understand.<br> The data is saved in a structure named meas, the key fields are as follows:</p> <p>meas.target - A matrix of the target position for each pixel, with a column for each of the x,y coordinates<br> meas.inputs - Input parameters used in the scanning program to collect the data<br> meas.initial_pos - Position of each the three stages at the start of the scan. The 3rd coordinate is the z scan and does not change throughout the scan<br> meas.data - A vector of the measured current at each pixel in Amps<br> meas.image - A matrix that represents the acquired image</p> <p>The remaining fields are explained at the bottom of the readme.</p> <p>The z scans are saved Z*****.mat and can be opened in MATALB.<br> The key variables in the data files are:</p> <p>z_position - Raw z coordinate of the positioner in nm<br> current_z - Measured current at each point in Amps<br> m - Horizontal scan gradient (approximately 1)<br> m2 - Vertical scan gradient (approximately 0)<br> step_pos - x coordiate at z_position=0<br> step_pos_v - y coordinate at z_position=0</p> <p>The x,y position at each point in the scan can then be obtained from<br> x=step_pos + m*(z_position)<br> y=step_pos_v + m2*(z_position)</p> <p><br> The true z distance between the pinhole and the sample in nm can be calculated from z=z_position-4295000</p> <p>The included data in the pack contains:</p> <p>Images presented in the paper:<br> scan001357<br> scan001361<br> scan001398<br> scan001415</p> <p>Z000006.mat - z scan of flat region<br> Z000008.mat - z scan of heavily distorted region<br> Z0000012.mat - z scan of lightly distorted region<br> Z000013.mat - z scan of HOPG</p> <p>z_scan_movie.avi - Video illustrating how the images vary with z<br> scan001401-scan001413 - Data to produce the video</p> <p>In addition, the analysis scripts have been included for reference. <br> The scripts can be used to regnerate the figures in the paper.</p> <p><br> The remaining fields in the meas structure are:<br> meas.date_time - Start date and time of the scan<br> meas.type - Scan pattern of the image. Always raster_jump<br> meas.p1 - Unused pressure<br> meas.p2 - Unused pressure<br> meas.p3 - Unused pressure<br> meas.p_srce - Source pressure at the start of the scan<br> meas.p_diff - Differential stage pressure at the start of the scan<br> meas.p_smpl - Sample pressure at the start of the scan<br> meas.p_det - Detector pressure at the start of the scan<br> meas.N_dwell - Number of current measurements taken at each pixel<br> meas.comments - comments (unused)<br> meas.det_params - Detector parameters used in the scan<br> meas.labtemp - A vector of the labtemp at each pixel (unused)<br> meas.return_state - Error status <br> </p>
Multivesicular Release LIF Spike Data
<p>The statistics of vesicle release determine how information is transferred in neural 12 circuits. The classical model is of Poisson synapses releasing vesicles 13 independently but ribbon synapses transmit early sensory signals by 14 multivesicular release (MVR) when two or more vesicles are coordinated as a single 15 synaptic event. To investigate the impact of MVR on the spike code we used leaky 16 integrate-and-fire models with inputs simulating the statistics of vesicle release 17 measured experimentally from retinal bipolar cells. Comparing these with models 18 of independent release we find that MVR increases spike generation and the 19 efficiency of information transfer (bits per spike) over a range of conditions that 20 mimic retinal ganglion cells of different time-constant receiving different number of 21 synaptic inputs of different strengths. When a single input drives a neuron with 22 short time-constant, as occurs when hair cells transmit auditory signals, MVR 23 increases information transfer whenever spike generation requires depolarization 24 greater than that caused by a single vesicle. This study demonstrates how 25 presynaptic integration of vesicles by MVR can compensate for less effective 26 summation post-synaptically to increase the efficiency with which sensory 27 information is transmitted at the synapse.</p>
Example of Leica .lif dataset containing FLIM and TileScan data
<p>This dataset contains two files, Intro.lif and Intro.lifext, that contain multiple acquisition datasets from a Leica microscope. Some of the datasets contain metadata about FLIM experiments.</p> <p>Bio-Formats currently reads these datasets incorrectly, it appears as if the offset for the actual pixel data is computed inaccurately, possibly due to the extra metadata present in some series.</p> <p> </p>
A Clinical Study of the GO-LIF® Approach for Lumbar Spinal Fixation
ClinicalTrials.gov study NCT00810433. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Monopolar Dielectric Diathermy and Therapeutic Exercise on Chronic Neck Pain and Therapeutic Exercise on Pain, Functionality, Movement Phobia on Pain, Functionality, Movement Phobia and Quality of Lif
ClinicalTrials.gov study NCT06072313. IPD Sharing: NO. Countries: 1. Publications: 18.
Multivesicular Release LIF Spike Data
Open the record for dataset details and reuse information.
Figure 3 from: Svensson M, Ekman S, Klepsland JT, Nordin A, Thor G, von Hirschheydt G, Jonsson F, Knutsson T, Lif M, Spribille T, Westberg M (2017) Taxonomic novelties and new records of Fennoscandian crustose lichens. MycoKeys 25: 51-86. https://doi.org/10.3897/mycokeys.25.13375
Figure 3 - A Micarea subconfusa (UPS L-578286) B Mycoblastus sanguinarioides (UPS L-550384). Scale bars: 0.5 mm (A), 1 mm (B).
Figure 2 from: Svensson M, Ekman S, Klepsland JT, Nordin A, Thor G, von Hirschheydt G, Jonsson F, Knutsson T, Lif M, Spribille T, Westberg M (2017) Taxonomic novelties and new records of Fennoscandian crustose lichens. MycoKeys 25: 51-86. https://doi.org/10.3897/mycokeys.25.13375
Figure 2 - A Catillaria scotinodes (UPS L-785594) B Gyalidea subscutellaris (UPS L-679028) C Micarea hylocomii (UPS L-803526) D Micarea lynceola (UPS L-778164). Scale bars: 0.5 mm.
Figure 1 from: Svensson M, Ekman S, Klepsland JT, Nordin A, Thor G, von Hirschheydt G, Jonsson F, Knutsson T, Lif M, Spribille T, Westberg M (2017) Taxonomic novelties and new records of Fennoscandian crustose lichens. MycoKeys 25: 51-86. https://doi.org/10.3897/mycokeys.25.13375
Figure 1 - A–B Bacidia pycnidiata (UPS L-681835), A group of apothecia B pycnidia with long and curved necks. C–D Bacidina adastra, C close-up of thallus with apothecia, note intermingled black fibers belonging to the polypropylene fabric on which the specimen grows (UPS L-779918) D overview of thick, sterile thallus (UPS L-779932). Scale bars: 0.25 mm (A–B), 1 mm (C–D).
Dataset: Life360, Inc. (LIF) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Microscopy data of RNA polymerase II clusters during -LIF differentiation of cultured mouse embryonic stem cells
<p>Main repository containing the analysis scripts and results: 10.5281/zenodo.8013242</p>
ATom: Sulfur Dioxide by Laser Induced Fluorescence (LIF-SO2) for ATom-4 Campaign
This dataset provides concentrations of sulfur dioxide (SO2) measured by the Laser Induced Fluorescence Instrumentation for Sulfur Dioxide (SO2-LIF) on the ATom-4 campaign in April and May 2018. The LIF-SO2 instrument detects SO2 at the single-part per trillion level using red-shifted laser-induced fluorescence. Measurements are reported at 1-second intervals along the flight paths. Sources of SO2 atmosphere from natural sources include volcanic eruptions and wildfires; however, most anthropogenic sources, such as fossil fuel combustion, arise. SO2 influences some negative health and environmental impacts and is an important precursor of aerosols in the nucleation of new particles globally.
A novel mouse stem cell established in combination of Activin A and LIF
GEO Series GSE156673. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene expression in LIF and LIF plus CHIR99021 in C57BL/6 mouse embryonic stem cells(B6 mESCs)
GEO Series GSE50393. Mus musculus. 2 samples. Type: Expression profiling by array.
SKP-SC-EVs-derived miRNA-30a-5p promote angiogenesis in peripheral nerve regeneration by targeting Lif and ANGPT2
GEO Series GSE245328. Rattus norvegicus. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
LIF-Dependent, Pluripotent Stem Cells Established from Inner Cell Mass of Porcine Embryos
GEO Series GSE26436. Sus scrofa. 2 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
ScienceDex guides
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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.