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120 results for “femtosecond”
A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings
<p>We report here the optical constants of ECR (MW) and RF generated a-C:H layers before and after laser irradiation. The work is described in the following publication:</p> <p><a title="A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings" href="https://doi.org/10.1007/s00339-024-07980-z" target="_blank" rel="noopener">https://doi.org/10.1007/s00339-024-07980-z</a></p> <p>The data uploaded are the optical constants (n and k) of the a-C:H layers before (base) and after (ROIx) laser irradiation. Please see the article for the nomenclature of the data and for the methods applied ot produce the layers, laser shots, and OK data.</p>
Selected data(s) from : Femtosecond direct laser writing of silver clusters in phosphate glasses for x-ray spatially-resolved dosimetry
<p>The data selected is based on the figures below, published in the linked article (see the doi).</p> <p><strong>- Figure 1.</strong> Microscopy fluorescence image of ARGOi glass sample (excitation at 365 nm) of laser-inscribed structures for the different writing irradiances at two different depths: (<strong>a</strong>) structures at 150 µm below the glass front surface, (<strong>b</strong>) structures at 550 µm below the glass front surface, and at 150 µm from the glass rear surface. <strong>(Only picture)</strong></p> <p>- <strong>Figure 2.</strong> (<strong>a</strong>) Transparent color before irradiation (ARGO glass sample), (<strong>b</strong>) yellow color after X-ray irradiation with 222 Gy (ARGO* glass sample). <strong>(Only picture)</strong></p> <p><strong>- </strong> <strong>Figure 3.</strong> (<strong>a</strong>) Absorption spectra of the ARGO and ARGO* glass sample after various X-ray doses and the difference absorption coefficient spectrum for 222 Gy vs. pristine. (<strong>b</strong>) Fit of the radiation-induced spectrum (difference between 222 Gy and pristine) considering Gaussian energy contributions for ARGO and ARGO*. (<strong>c</strong>) Absorption spectra for the GPN and GPN* glasses for X-ray doses from 5 mGy to 3 kGy [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>d</strong>) The difference absorption coefficient spectra between different doses conditions for GPN and GPN* [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure3_2022-03-03_V01. <strong>Figure 3</strong></li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure3_Datas_2022-03-03_V01. Datas : <strong>wavelength, effective absorption coefficient (cm-1)</strong></li> </ol> <p>- <strong>Figure 4.</strong> Micro-luminescence of GPN* glass performed on the optically polished glass side: (<strong>a</strong>) integrated fluorescence intensity at different depths, (<strong>b</strong>) normalized spectrum evolution with depth for the 500 Gy dose [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure4_2022-03-03_V01. Figure 4</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure4_Datas_2022-03-03_V01. Datas</li> </ol> <p>- <strong>Figure 5.</strong> Estimated depth-dependent profiles in absolute values of the linear absorption coefficient at 405 nm. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure5_2022-03-03_V01. Figure 5</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure5_Datas_2022-03-03_V01. Datas : <strong>sample depth (mm) ; scaled linear absorption coefficient profile at 405 nm (mm-1)</strong></li> </ol> <p>- <strong>Figure 6.</strong> (<strong>a</strong>) X-ray energy spectra simulated by SpekPy for each irradiation facility, normalized by integral. (<strong>b</strong>) Geant4-simulated dose inside each sample, normalized by the surface dose; filled areas show uncertainties at 95% confidence. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure6_2022-03-03_V01. Figure 6</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure6_Datas_2022-03-03_V01. Datas : <strong>ARGO 100KV_dose ; GPN-20KV_dose ; GPN-32KV_dose</strong></li> </ol> <p>- <strong>Figure 7.</strong> Radio-photoluminescence measurement of the GPNi* glass for the inscribed structure [<a href="https://www.mdpi.com/2227-9040/10/3/110/htm#B39-chemosensors-10-00110">39</a>]. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure7_2022-03-03_V01. Figure 7</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure7_Datas_2022-03-03_V01. Datas : <strong>wavelength ; relative intensity a.u.</strong></li> </ol> <p>- <strong>Figure 8.</strong> Normalized RPL spectra excited at 325 nm: (<strong>a</strong>) for the ARGO (pristine—right axis) and ARGO* (X-ray irradiation at 222 Gy—left axis) glasses collected around 150 µm below the surface, (<strong>b</strong>,<strong>c</strong>) for the highest DLW irradiance structure for ARGOi and ARGOi* in the front- and the rear-inscribed surfaces, respectively. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure8_2022-03-03_V01. Figure 8</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure8_Datas_2022-03-03_V01. Datas : <strong>inscribed glass...</strong></li> </ol> <p>- <strong>Figure 9.</strong> (<strong>a</strong>) Differential linear absorption coefficient of the laser-inscribed structures (11 TW/cm<sup>2</sup>) for the two planes after irradiation at 222 Gy X-ray dose in the ARGOi* glass sample. (<strong>b</strong>) Average differential absorption of the inscribed structures for all DLW irradiance (as from <a href="https://www.mdpi.com/2227-9040/10/3/110/htm#fig_body_display_chemosensors-10-00110-f009">Figure 9</a>a). (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure9_2022-03-03_V01. Figure 9</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure9_Datas_2022-03-03_V01. Datas : <strong>integrated differential linear absoprtion percentage ; irradiance (TW/cm2)</strong></li> </ol> <p>- <strong>Figure 10.</strong> (<strong>a</strong>) Phase image under white light illumination of the laser inscribed structure (11 TW/cm<sup>2</sup>) before irradiation. (<strong>b</strong>) Optical path difference determined from the phase image. (<strong>c</strong>) The refractive index modification Δ<em>n</em> as a function of laser irradiance before/after 222 Gy-dose for the two planes in ARGOi, ARGOi* glass sample. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure10_2022-03-03_V01. Figure 10</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure10_Datas_2022-03-03_V01. Datas : <strong>refractive index modification ; irradiance (TW/cm2), Error bar</strong></li> </ol> <p><strong>- Figure 11.</strong> Comparison between calculated and measured Δ<em>n</em>ˆ after irradiation for a decrease in the initial value of <em>N</em><em>α</em>3 by 0.48%: (<strong>a</strong>,<strong>c</strong>) the real part Δ<em>n</em> for the front and rear surfaces, respectively; (<strong>b</strong>,<strong>d</strong>) their imaginary counterparts Δ<em>κ</em>, respectively. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure11_2022-03-03_V01. Figure 11</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure11_Datas_2022-03-03_V01. Datas : <strong>rear surface...</strong></li> </ol> <p><strong>- Figure 12.</strong> Integrated measure of the amplitude of fluorescence intensity for the different laser irradiance before and after 222 Gy-dose for the two planes in ARGOi and ARGOi* glass sample. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure12_2022-03-03_V01. Figure 12</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure12_Datas_2022-03-03_V01. Datas : <strong>integrated measure of the amplitude of fluorescence intensity ; Irradiance (TW/cm2) ; Error bar </strong></li> </ol> <p><strong>- Figure 13.</strong> (<strong>a</strong>) Composite FLIM and fluorescence intensity microscopy images of the laser-induced structure (11 TW/cm<sup>2</sup>) before and after irradiation for an emission at 425 nm from the front surface; the color-code represents the mean lifetime obtained by FAST-FLIM algorithm (color scale from 0 to 31 ns); inset: luminescence intensity only (grey-scale from 0 to 45 counts). (<strong>b</strong>) Same composite FLIM and luminescence intensity images for an emission at 510 nm. (<strong>c</strong>) Luminescence decays in arbitrary units for the emission at 425 nm of the same structure before and after irradiation for the two surfaces, and fitting curves thereof using three exponential decay functions. (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure13_2022-03-03_V01. Figure 13</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure13_Datas_2022-03-03_V01. Datas : <strong>fluorescence intensity (arbitrary units) ; time (ms)</strong></li> </ol> <p>- <strong>Figure 14.</strong> Dose-dependent evolution of the amplitude ratio of extracted spectral bands for (<strong>a</strong>) the GPNi* glass sample for DLW irradiance of 13.4 TW/cm<sup>2</sup> at 160 µm below the glass surface, (<strong>b</strong>) the ARGOi and ARGOi* glass sample for DLW irradiance of 11 TW/cm<sup>2</sup> at 550 µm below the glass surface (rear surface). (<strong>Picture, xls datas</strong>)</p> <ol> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure14_2022-03-03_V01. Figure 14</li> <li>ANR_ ARCHIFLUO_ICMCB_Article_Chemosensors _Figure14_Datas_2022-03-03_V01. Datas : <strong>ratio of amplitudes of spectral bands ; doses (gy)</strong>.</li> </ol>
Femtosecond electron diffraction data of black phosphorus
<p>Femtosecond electron diffraction data of black phosphorus measured at the Fritz Haber Institute in Berlin. The dataset contains an experiment at 100 K (measurement 1) and another experiment at room temperature (measurement 2).</p>
Raw and analyzed data for manuscript: "Wood surface ablation and nanostructuring using a femtosecond laser"
<p><strong>Abstract</strong></p> <p>The processing of Norway spruce and European beech wood specimens by means of femtosecond laser pulses was investigated on conditioned natural samples as well as on samples coated with beeswax or a water-borne stain. Depending on laser pulse energies and processing times, this allowed for different modes of surface modification. At low laser intensities, an etching almost without thermal impact was detected, whereas higher laser intensities led to the generation of hierarchical micro and nanostructures. The usage of argon or atmospheric air as cover gases during the laser processing had only minor effects on the surface structures. Observed differences in the etching or functionalization of the wooden surfaces mostly originated in the chemical structure of the surface finish and the physical properties of the wood substrates, such as the density or moisture content.</p>
Femtosecond electron diffraction data of platinum
<p>Femtosecond electron diffraction data of platinum measured at the Fritz Haber Institute in Berlin. The dataset contains measurements at several absorbed energy densities, from 40 J/cm<sup>3</sup> (experimental_data_fluence_5) to 124 J/cm<sup>3</sup> ( experimental_data_fluence_1). The pump photon energy was 0.70 eV. The sample was a polycrystalline platinum film with a thickness of 15 nm. More information is available here: https://arxiv.org/abs/2012.10428</p>
Additional Data - Phototoxicity induced in living HeLa cells by focused femtosecond laser pulses
<p>Nonlinear optical microscopy is a powerful label-free imaging technology, providing biochem-ical and structural information in living cells and tissues. A possible drawback is photodamageinduced by high-power ultrashort laser pulses. Here we present an experimental study on thou-sands of HeLa cells, to characterize the damage induced by focused femtosecond near-infraredlaser pulses as a function of laser power, scanning speed and exposure time, in both wide-field andpoint-scanning illumination configurations. Our data-driven approach offers an interpretation ofthe underlying damage mechanisms and provides a predictive model that estimates its probabilityand extension and a safety limit for the working conditions in nonlinear optical microscopy. Inparticular, we demonstrate that cells can withstand high temperatures for a short amount of time,while they die if exposed for longer times to mild temperatures. It is thus better to illuminatethe samples with high irradiances: thanks to the nonlinear imaging mechanism, much strongersignals will be generated, enabling fast imaging and thus avoiding sample photodamage.</p>
Femtosecond electron diffraction data of iron and cobalt
<p>Femtosecond electron diffraction data of iron and cobalt measured at the Fritz Haber Institute in Berlin. The excitation wavelength was 2300 nm in all measurements. For iron, data were recorded with four different pump fluences. For cobalt, data were recorded with six different pump fluences. The samples were polycrystalline films with a thickness of 20 nm, sandwiched between two layers of silicon nitride with a thickness of 5 nm each. More information is available here: https://arxiv.org/abs/2110.00525</p>
Femtosecond electron diffuse scattering data of black phosphorus
<p>Femtosecond electron diffuse scattering data of black phosphorus measured at the Fritz Haber Institute in Berlin. The dataset contains an experiment at 100 K (measurement _1.h5) .</p>
Femtosecond electron diffraction data of CsPbBr3 nanocrystals
<p>Femtosecond electron diffraction data of CsPbBr3 nanocrystals, acquired at the Fritz Haber Institute in Berlin. All measurements are performed at room temperature.</p>
Data for "Sub-7-femtosecond conical-intersection dynamics probed at the carbon K-edge"
<p>Data sets underlying Figs. 1-4, and S1-S6, S8-S20 of the paper entitled "Sub-7-femtosecond conical-intersection dynamics probed at the carbon K-edge".</p>
Dataset for Femtosecond-Laser-Surface-Nanostructured Glass in BIPV Applications
<p><strong>Summary:</strong></p> <p>This is the collection of datasets for the article titled “Femtosecond-laser-surface-nanostructured glass for building integrated solar concentrator”, published in Materials&Design (ISSN 0264-1275).</p> <p><strong>Methods:</strong></p> <p>The experimental and calculation methods for generating the datasets are described in the original paper.</p> <p><strong>File Description:</strong></p> <p>Unzip "Laser glass.7z" using free and open source software 7-zip. The file contains following content:</p> <p>\IMG_SEM_1\<br>- This folder comprises raw Scanning Electron Microscope (SEM) images captured from the surface normal perspective. Each image is in .tif format with a resolution of 1024 × 768 pixels. The file name begins with the laser scan speed, ranging from 200 to 2000 (in mm/s). The laser scan speed is followed by the zooming rate. Some file names include "_2" at the end, signifying images taken from a different area or captured with adjusted brightness/contrast settings. Partial sections of images taken at a 5000x zoom level were used in Figure 1 in original paper.</p> <p>\IMG_SEM_2\<br>- This folder comprises raw cross-sectional Scanning Electron Microscope (SEM) images taken after cutting the sample through laser textured area. Each image is in .tif format with a resolution of 1024 × 768 pixels. The file name begins with the laser scan speed, ranging from 200 to 1800 (in mm/s). </p> <p>\XRD\<br>- This folder contains raw X-ray Diffraction (XRD) data utilized for creating Figure 2a. Additionally, the folder includes automatically generated metadata files that detail the measurement conditions. Within this folder, Ref.csv provides the XRD spectrum of the unprocessed substrate, while Main.csv contains the spectrum of a sample processed with a laser at a speed of 200 mm/s.</p> <p>\PL\<br>- This folder contains photoluminescence (PL) spectra data. The file PL_1.csv was used to generate Figure 2c, while PL_2.csv was used for Figure 2d. The data in both files are organized in an X-Y-Y... format, with each dataset labeled according to the corresponding figure legend. Note that signals below 450 nm were filtered.</p> <p>\RAMAN.csv<br>- contains raw Raman spectroscopy data used to generate Figure 2b. The dataset includes three columns: the first represents the wavenumber values, which serve as the X-axis for the plot. The second and third columns correspond to the Y-axis data, labeled as "Ref" and "Main." "Ref" represents the Raman spectrum of the unprocessed substrate, while "Main" corresponds to the spectrum of a sample processed with a laser at a speed of 200 mm/s. Note the signal before ~80 cm-1 is filtered and the sharp peak at 416.433 cm-1 is due to noise and excluded from the plot. </p> <p>\Spectrophotometry\<br>- The folder contains Spectrophotometry data used to generate Figure 3. The file Spectra_1.csv includes datasets for reflectance (%R), transmittance (%T), and absorptance (%A), each labeled according to the legends of Figures 3a, 3b, and 3c, respectively. Spectra_2.csv provides data on total reflectance (R_tot_*), diffuse reflectance (R_dif_*), and their ratio (R_*%), corresponding to Figure 3d. The datasets in Spectra_2.csv are organized by processing speed *(mm/s) of the samples.</p> <p>\IV\<br>- The folder contains current-voltage (I-V) measurement data. The file IV_1.csv was used to plot Figure 4c and to calculate the relative photocurrent presented in Figure 4d. The file IV_2.csv was used to plot Supplementary Figure S2 and to calculate the optical power efficiency.</p> <p>\Contact_angle\<br>- The folder contains contact angle measurement data. Stat.csv includes advancing and receding angles shown in Figure 5c. 400_Adv.mp4 and 400_Rec.mp4 contain the advancing and receding angle of the 400 mm/s sample, respectively. </p> <p><strong>Credit:</strong></p> <p>When using the dataset/figures, please cite the original paper.</p>
Data from the manuscript: "Few-femtosecond electron transfer dynamics in photoionized donor-pi-acceptor molecules"
Open the record for dataset details and reuse information.
Data for: "Simulation of uranium plasma plume dynamics in atmospheric oxygen produced via femtosecond laser ablation"
<p>Data generated by 2D reactive, compressible, multi-species fluid model of uranium femtosecond laser ablation in an atmospheric oxygen environment. The dataset consists of a series of plain text tabular data files recorded at several time points during the simulation run. The data files are numbered according to the simulation time in nanoseconds (FFF-0100.txt is the data at 100 ns) and are given at intervals of 50 ns for the first 500 ns of simulation time, and every 100 ns thereafter, up to the total simulation time of 10000 ns. The initial conditions are provided in the first data file (FFF-0000.txt). Each data file contains spatially-resolved values of the fluid moments along with the molar concentrations of each species considered in the model (total of 30 species), given in a column format delimited by spaces.</p> <p>For details on the model implementation and simulation conditions, please refer to the associated manuscript.</p>
Data archive for "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials"
<p>This archive contains the raw experimentat data used for the data analysis in the article "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials". It furthermore includes the script(s) to transform raw diffraction images into structure factors and the data shown in the figures in ascii format. For the ab-initio molecular dynamics simulations, the atomic trajectories are included as well.</p>
Data for Figure 1 in "High-fidelity and polarization insensitive universal photonic processors fabricated by femtosecond laser writing"
Open the record for dataset details and reuse information.
Data for the article "Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering"
<p>Data for the article "Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering" (<a href="https://www.nature.com/articles/s41467-020-19613-z">Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering | Nature Communications</a>) <a href="https://arxiv.org/abs/2002.03971">[2002.03971] Chiral versus collinear magnetic order dynamics: faster chiral recovery after optical excitation revealed by femtosecond XUV scattering (arxiv.org)</a></p>
Self-synchronized cost-effective time-resolved measurements at x-ray free-electron lasers with femtosecond resolution
<p>In compliance with guidelines from SNSF (Swiss National Science Foundation), we upload the raw data that belongs to a publication we submitted to <em>Physical Review Research</em>.<br> The dataset also contains the analysis scripts used to produce the plots we show in the publication.</p> <p>Our software is attached to the dataset. An installation of the well known ELEGANT code is required to run it.</p> <p>Shortly after upload of the first version of this dataset, a bug was found in the analysis software.<br> The second version contains the corrected software.</p>
Melting of magnetic order in NaOsO3 by femtosecond laser pulses
<p>Open data to "Melting of magnetic order in NaOsO3 by femtosecond laser pulses ", published in Phys. Rev. B <strong>105</strong>, 155147 (2022).</p> <p>URL: <a href="https://link.aps.org/doi/10.1103/PhysRevB.105.155147">https://link.aps.org/doi/10.1103/PhysRevB.105.155147</a><br> DOI: 10.1103/PhysRevB.105.155147</p> <p>Original raw data (~5 TB) is can be obtained via the PSI Public Data Repository at <a href="https://doi.org/10.16907/e8203447-71ac-49f3-98e4-a35b9c92a257">https://doi.org/10.16907/e8203447-71ac-49f3-98e4-a35b9c92a257</a></p>
Supplementary Movies for the article "The fragmentation mechanism of gold nanoparticles in water under femtosecond laser irradiation"
<p>Supplementary movies for the publication "The fragmentation mechanism of gold nanoparticles in water under femtosecond laser irradiation", <a href="https://doi.org/10.1039/D1NA00406A">https://doi.org/10.1039/D1NA00406A</a>.</p> <p>The movies show gold nanoparticles in water under pulsed laser irradiation and are recorded with <em>in situ </em>liquid cell electron microscopy. The full description of every movie can be found in the "Supplementary Information" file at <a href="https://doi.org/10.1039/D1NA00406A">https://doi.org/10.1039/D1NA00406A</a>.</p>
Datasets of the article "Femtosecond-to-nanosecond dynamics of flavin mononucleotide monitored by stimulated Raman spectroscopy and simulations"
<p>Experimental time-resolved femtosecond-stimulated Raman spectra (FSRS) and visible transient absorption (visTA) spectra of flavin mononucleotide (FMN) in water, MES pH=6, and TRIS pH=8 buffers (DATA files). The dataset includes also the amplitudes and evolution-associated difference spectra (EADS) arising from global kinetic analysis using a sequential model. </p> <p>In the DATA files, the first column contains the Stokes shift (in cm<sup>-1</sup>) or wavelength (in nm), and the first row contains the time delays (in seconds).</p> <p>In the AMPLITUDES files, the first column contains the time delays (in seconds), and the first row contains the lifetimes (in seconds).</p> <p>In the EADS files, the first column contains the wavenumbers (in cm<sup>-1</sup>) or wavelength (in nm), and the first row contains the lifetimes (in seconds). Note that the FSRS spectra have been normalized to 1.</p> <p>If you use these datasets please cite:</p> <p>Andrikopoulos, P. C.; Liu, Y.; Picchiotti, A.; Lenngren, N.; Kloz, M.; Chaudhari, A. S.; Precek, M.; Rebarz, M.; Andreasson, J.; Hajdu, J.; Schneider, B.; Fuertes, G.* Femtosecond-to-Nanosecond Dynamics of Flavin Mononucleotide Monitored by Stimulated Raman Spectroscopy and Simulations. <em>Phys. Chem. Chem. Phys. PCCP</em> <strong>2020</strong>, <em>22</em>, 6538–6552.</p>
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.