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25 results for “UV-Vis”
Experimental data for "Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV-Vis Extinction Spectra"
<p>Testing data (experimental data) for neural networks published in preprint https://doi.org/10.48550/arXiv.2404.10891</p> <p>The UV-VIS-NIR spectral data was also used in the dissertation of Nadzeya Khinevch, titled "Two-dimensional structures of nanoparticles for elements of surface-enhanced Raman scattering substrates".</p> <p>Emails of the corresponding authors:</p> <p>Tomas Klinavičius tomas.klinavicius@ktu.lt</p> <p>Tomas Tamulevičius tomas.tamulevicius@ktu.lt</p>
Time series of in situ Uv-Vis absorbance spectra and high-frequency predictions of total and soluble Fe and Mn concentrations measured at multiple depths in Falling Creek Reservoir (Vinton, VA, USA) in 2020 and 2021
High-frequency measurements of light absorbance were collected at multiple depths in Falling Creek Reservoir (FCR; Vinton, VA, USA) using a s::can Spectrolyser UV-Visible spectrophotometer coupled with a multiplexor pumping system. The system pumps water samples from individual depths into a flow-through cuvette where the UV-vis absorbance spectra of the sample are measured by the spectrophotometer. The system used in our study collected measurements of light absorbance every 2.5 nm wavelengths from 200 nm to 732.5 nm (optical path length of 10 mm) approximately at an hourly time step for seven monitoring depths in the reservoir. Data was collected during two periods; the first deployment (16 October to 9 November 2020) was to observe changes in Fe and Mn concentrations before, during, and after reservoir fall turnover and the second deployment (26 May to 21 June 2021) was to observe the effects of engineered hypolimnetic oxygenation on Fe and Mn concentrations. Partial least squares regression models were developed to generate predictions of total and soluble Fe and Mn concentrations based on the correlation between absorbance spectra and sampling data.
Investigation of spatial and temporal variability in lower tropospheric ozone from RAL Space UV-Vis satellite products - Dataset
<p>This data set represents a long-term (1996-2017) harmonised record of lower tropospheric ozone (surface - 450 hPa or surface - approximately 6 km) from satellite instruments. These instruments include the Global Ozone Monitoring Experiment (GOME-1, 1996–2002), the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY, 2003–2004) and the Ozone Monitoring Instrument (OMI, 2005–2017). These original products were produced by the Rutherford Appleton Laboratory (RAL) Space using the retrieval scheme described by Miles et al., (2015 - doi:10.5194/amt-8-385-2015). Pre-print of accepted manuscript can be found at https://doi.org/10.5194/egusphere-2023-1172.</p>
Immunoglobulin G: SEC-SAXS experiment using in house SAXS instrument with in situ UV-Vis
<p>SEC-SAXS experiment using in house SAXS instrument</p> <p>Sample: Immunoglobuline G<br>Buffer: 50mM Tris, 50 mM NaCl, pH 7.6</p> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>SAXS_raw.zip</td> <td>Raw, unreduced data (2D images) in HDF5 format</td> </tr> <tr> <td>SAXS_reduced.zip</td> <td>SAXS data, azimutaly reduced (1D curves). Q-vaules are in 1/nm</td> </tr> <tr> <td>SAXS_UV_raw.zip</td> <td>Raw UV-Vis absorption data collected using in-situ spectrometer</td> </tr> <tr> <td>SAXS_UV_processed.zip</td> <td>UV-Vis data collected using in-situ spectrometer. Absorbance at 280nm extracted as a time series</td> </tr> <tr> <td>HPLC_raw.zip</td> <td>Data from HPLC system natively exported from control software (Unicorn)</td> </tr> <tr> <td>HPLC_extracted.zip</td> <td>Data from HPLC system exported to CSV</td> </tr> <tr> <td>DS11_fractions.zip</td> <td>UV-Vis absorption data collected usig micro volume spectrometer (DeNovix DS-11) on fractions collected using fraction collector.</td> </tr> </tbody> </table> <p> </p>
Research data for "Phase transitions in NiO during the Oxygen Evolution Reaction assessed via electrochromic phenomena through operando UV-Vis spectroscopy"
<p>This is the dataset supporting the publication "Phase transitions in NiO during the Oxygen Evolution Reaction assessed via electrochromic phenomena through operando UV-Vis spectroscopy", published by the authors in Electrochimica Acta (2024), 144626 under <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.electacta.2024.144626" target="_blank" rel="noreferrer noopener">doi.org/10.1016/j.electacta.2024.144626</a>.</p> <p>The data is ordered according to Figure numbers in the main manuscript and the electronic supplementary information.</p>
Dataset for: Diurnal patterns in solute concentrations measured with in situ UV-Vis sensors: natural fluctuations or artefacts?
<p>This dataset contains high-resolution (10-minute interval) data for nitrate, dissolved organic carbon, precipitation and discharge at four measurement stations (NF, SHA, TTP, OUT) in the South West Mau, Kenya. This data was used for the analysis of diurnal patterns in nitrate and dissolved organic carbon concentrations. The zipped folder contains the following files and data:</p> <ul> <li>Calibration.csv: <ul> <li>site = name of measuring site</li> <li>date = date and time of grab sample (yyyy-mm-dd hh:mm:ss)</li> <li>DOC = dissolved organic carbon concentration in grab sample (mg C/L)</li> <li>nitrate = nitrate concenctration in grab sample (mg N/L)</li> </ul> </li> <li>Files with suffix ".ts.csv" (time series data from 1-11-2014 to 31-10-2019; prefix indicates measuring site): <ul> <li>date = date and time of measurement (yyyy-mm-dd hh:mm:ss)</li> <li>nit.raw = nitrate concentration measured by sensor (mg N/L)</li> <li>nit.flag = indication of validity of nitrate measurement (if NA, measurement is valid; for explanation of flags, see supplement of <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR021592">Jacobs et al. 2018</a>)</li> <li>nit.proc = processed nitrate concentration (mg N/L)</li> <li>nit.bg = background concentration of nitrate (48-h moving median; mg N/L)</li> <li>nit.patt = deviation from background concentration of nitrate (nit.proc minus nit.bg; mg N/L)</li> <li>doc.raw = dissolved organic carbon concentration measured by sensor (mg C/L)</li> <li>doc.flag = indication of validity of dissolved organic carbon measurement (if NA, measurement is valid)</li> <li>doc.proc = processed dissolved organic carbon concentration (mg C/L)</li> <li>doc.bg = background concentration of dissolved organic carbon (48-h moving median; mg C/L)</li> <li>doc.patt = deviation from background concentration of dissolved organic carbon (doc.proc minus doc.bg; mg C/L)</li> <li>p = precipitation (mm/10 mins)</li> <li>q = discharge (m³/s)</li> <li>sensor = serial number of sensor</li> </ul> </li> <li>Files with suffix ".exp.csv" (data for sensor comparison experiment from 5-9-2017 to 1-12-2017; prefix indicates measuring site): <ul> <li>date = date and time of measurement (yyyy-mm-dd hh:mm:ss)</li> <li>prec = precipitation (mm/10 mins)</li> <li>nit.orig = processed nitrate concentration measured by fixed sensor (mg N/L)</li> <li>nit.bg.orig = background concentration of nitrate measured by fixed sensor (48-h moving median; mg N/L)</li> <li>nit.patt.orig = deviation from background concentration of nitrate measured by fixed sensor (nit.orig minus nit.bg.orig; mg N/L)</li> <li>nit.dup = processed nitrate concentration measured by mobile sensor (mg N/L)</li> <li>nit.bg.dup = background concentration of nitrate measured by mobile sensor (48-h moving median; mg N/L)</li> <li>nit.patt.dup = deviation from background concentration of nitrate measured by mobile sensor (nit.dup minus nit.bg.dup; mg N/L)</li> <li>doc.orig = processed dissolved organic carbon concentration measured by fixed sensor (mg C/L)</li> <li>doc.bg.orig = background concentration of dissolved organic carbonmeasured by fixed sensor (48-h moving median; mg C/L)</li> <li>doc.patt.orig = deviation from background concentration of dissolved organic carbonmeasured by fixed sensor (doc.orig minus doc.bg.orig; mg C/L)</li> <li>doc.dup = processed dissolved organic carbonconcentration measured by mobile sensor (mg C/L)</li> <li>doc.bg.dup = background concentration of dissolved organic carbonmeasured by mobile sensor (48-h moving median; mg C/L)</li> <li>doc.patt.dup = deviation from background concentration of dissolved organic carbon measured by mobile sensor (doc.dup minus doc.bg.dup; mg C/L)</li> <li>set = experimental treatment</li> </ul> </li> </ul>
UV-Vis spectral dataset of distillation wastewaters from the production of essential oils of lavender cultivars and other aromatic plant species
<pre>The present database provides a set of 16 ultraviolet-visible (UV-Vis) spectra characterizing the residual by-products (distillation wastewaters) of the production of essential oils from lavender (<em>Lavandula angustifolia</em> Mill.) and other aromatic plant species, including interspecific hybrids and cultivars.</pre>
Lysozyme, BSA, Thyroglobulin: SAXS measurement in solution in two capillary thicknesses (1 mm and 1.5 mm) with in situ UV-Vis
<p>SAXS measurement of three different proteins in solution in two capillary thicknesses (1 mm and 1.5 mm). Data include in situ UV-Vis absorption spectroscopy and UV-Vis absoroption spectroscopy using microvolume spectrometer (DeNovix DS-11) for comparison.</p> <p>Proteins used: Lysozyme, bovine serum albumine, thyroglobuline</p> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>sample_description.csv</td> <td>detailed description of individual samples</td> </tr> <tr> <td>DS11_UV_Tyr_Lys_BSA.zip</td> <td>data from microvolume spectrometer </td> </tr> <tr> <td>SAXS_1mm_raw.zip</td> <td>Raw unreduced SAXS data (2D images in H5 format), collected in 1mm capillary. Detailed description is in included HTML file.</td> </tr> <tr> <td>SAXS_1mm_reduced.zip</td> <td>SAXS data collected in 1mm capillary, reduced to 1D curves. Q-values are in 1/nm</td> </tr> <tr> <td>SAXS_1mm_subtracted.zip</td> <td>SAXS data collected in 1mm capillary, buffer subtracted. Q-values are in 1/nm</td> </tr> <tr> <td>SAXS_1p5mm_raw.zip</td> <td>Raw unreduced SAXS data (2D images in H5 format), collected in 1.5mm capillary. Detailed description is in included HTML file.</td> </tr> <tr> <td>SAXS_1p5mm_reduced.zip</td> <td>SAXS data collected in 1.5mm capillary, reduced to 1D curves. Q-values are in 1/nm</td> </tr> <tr> <td>SAXS_1p5mm_subtracted.zip</td> <td>SAXS data collected in 1.5mm capillary, buffer subtracted. Q-values are in 1/nm</td> </tr> <tr> <td>SAXS_UV_1mm_absorbance_sample_nonaveraged.zip</td> <td>UV-Vis absorption data collected using in-situ spectrometer. Mesurement in 1mm capillary. Only spectra collected when sample was present in capillary</td> </tr> <tr> <td>SAXS_UV_1mm_raw.zip</td> <td>Raw UV-Vis absorption data collected using in-situ spectrometer. Mesurement in 1mm capillary.</td> </tr> <tr> <td>SAXS_UV_1p5mm_absorbance_sample_nonaveraged.zip</td> <td>UV-Vis absorption data collected using in-situ spectrometer. Mesurement in 1.5mm capillary. Only spectra collected when sample was present in capillary</td> </tr> <tr> <td>SAXS_UV_1p5mm_raw.zip</td> <td>Raw UV-Vis absorption data collected using in-situ spectrometer. Mesurement in 1.5mm capillary.</td> </tr> </tbody> </table> <p> </p>
Riverine truly dissolved, colloidal, and operationally dissolved ferric iron, dissolved organic carbon, UV-vis absorbance at 254 and 412 nm, and specific UV absorbance (SUVA) at 254 nm
<p>This dataset is attached to the following article:</p> <p>Logozzo, L.A., Martin, J.W., McArthur, J., Raymond, P.A. Contributions of Fe(III) to UV-vis absorbance in river water: A case study on the Connecticut River and argument for the systematic tandem measurement of Fe(III) and CDOM. <em>Biogeochemistry</em> <strong>160</strong>: 17–33 (2022). https://doi.org/10.1007/s10533-022-00937-5</p> <p>This dataset includes concentrations of ferric iron, Fe(III), and dissolved organic carbon (DOC) along with UV-vis absorbance at 254 nm and 412 nm on the operationally dissolved size fraction (<0.22 μm), as well as the truly dissolved (<0.02 μm) and colloidal (0.02-0.22 μm) size fractions. Samples were collected every two weeks at five sites along the Connecticut River mainstem from 2018 to 2020 and at 7 sites in the Connecticut River watershed sampled once synoptically during the summer 2019.</p>
Gold Nanoparticles Synthesized in the Presence of Peptides - UV-Vis Spectra, Fluorescence, USAXS, Electron Microscopy
<p>Content Summary:</p> <ul> <li>Data from experiments in which gold nanoparticles were synthesized in the presence of peptides using a liquid-handling robot. Samples were analyzed using UV-Vis spectroscopy, fluorescence emission, USAXS, TEM, and SEM. </li> <li>Notebooks for loading and plotting data</li> <li>Code for synthesizing samples using an OT2 Opentrons liquid-handling robot.</li> </ul> <p>README:</p> <p><strong>/Data</strong></p> <p>Contains all UV-Vis, electron microscopy, fluorescence, and SAXS data for gold nanoparticles synthesized in the presence of peptides and HEPES.</p> <p><strong>/Data/2021_12_30_Prepared_UV_Vis_Data</strong></p> <p>The primary portion of the experimental dataset. UV-Vis spectroscopy data collected on a Biotek Epoch 2 microplate spectrophotometer 24 hours after samples were synthesized using a liquid handling robot (Opentrons OT2). The <strong>4x4x4_SI.csv </strong>file is the compilation of all sample information:</p> <ul> <li>Concentrations (M) of peptide, HAuCl4, and HEPES</li> <li>UID – unique ID based on date of synthesis, sample position, and peptide which was used to synthesize the sample.</li> <li>Peptide names: Z2: RMRMKMK; MZ2: myristoylated - RMRMKMK; MZ2R: myristoylated - KMKMRMR; PZ2: palmitoylated – RMRMKMK; Z2M6I: RMRMKIK; Z2M246I: RIRIKIK; AG3: AYSSGAPPMPPF.</li> </ul> <p>Each sample’s UID is a key to match with UV-Vis measurement result stored in the {<strong>UID}.txt </strong>files. Each of these files contains the wavelength, absorbance, and absorbance after subtraction of a water measurement.</p> <p><strong>/Data/2022_02_13_AuPeptide_Kinetics</strong></p> <p><strong>Measurement_Data.xlsx</strong> and <strong>Measurement_Times.xlsx </strong>contain UV-Vis spectra at several time points for each well measured, and the time corresponding to each time step, respectively. See <strong>/Notebooks/UV_Vis_Kinetics.ipynb</strong> for data plotting and sample concentration information.</p> <p><strong>/Data/ElectronMicroscopy</strong></p> <p>Scanning electron microscopy and transmission electron microscopy results of gold nanoparticles formed from the reduction of HAuCl4 in the presence or absence of different peptides.</p> <p>Fig A, B, C, D, E/F were prepared in the presence of Z2, Z2M6I, Z2M246I, no peptide, and MZ2R, respectively.</p> <p><strong>/Data/Fluorescence</strong></p> <p>Pyrene fluorescence data collected in the presence of different concentrations of lipidated peptides (MZ2, MZ2R, and PZ2) for estimation of the peptide critical micelle concentration.</p> <p><strong>/Data/SAXS</strong></p> <p>SAXS data of a high concentration of MZ2 which was fit using a cylindrical model form factor. The evaluated model is also shared in this directory.</p> <p><strong>/Data/USAXS</strong></p> <p>Similarly to the UV-Vis data directory, the <strong>USAXS_SI.csv</strong> file contains sample information for all of the USAXS measurements. The <strong>dsm_rg.csv</strong> file contains the output of AUTORG evaluated on the desmeared data after subtraction of a flat background at high-q. <strong>/DSM_Nexus, DSM_sub_AUTORG, </strong>and <strong>SMR_Nexus</strong> contain the desmeared, desmeared with background subtraction, and smeared versions of the USAXS data, respectively.</p> <p><strong>/Notebooks</strong></p> <p>Notebooks for plotting the shared data and estimating the CMC from the fluorescence data. See <strong>/Notebooks/environment.yml</strong> for packages necessary to execute the notebooks here and in <strong>/Synthesis_Protocol</strong>. We recommend installing this environment by using:</p> <p>conda env create -f /environment.yml</p> <p>Refer to <a href="https://github.com/SasView/sasmodels">https://github.com/SasView/sasmodels</a> and the first cell of <strong>/Notebooks/USAXS.ipynb</strong> for specific instructions on how to complete installation of the sasmodels module (sasmodels will be installed by Pip if you correctly use the shared environment.yml file).</p> <p><strong>/Figures</strong></p> <p>Figures generated from <strong>/Notebooks</strong>.</p> <p><strong>/Synthesis_Protocol</strong></p> <p>Please read the instructions within <strong>/Synthesis_Procol/Example.ipynb</strong>. In short, this folder contains the code used to synthesize the samples in this dataset using an OT2 Opentrons liquid handling robot.</p> <p> </p>
Dataset of "Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts using Raman and UV-Vis Modulation Excitation Spectroscopy"
<p>This zip file contains the dataset of the publication "Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts using Raman and UV-Vis Modulation Excitation Spectroscopy" (<span><a href="https://doi.org/10.1021/acs.jpcc.4c05826">https://doi.org/10.1021/acs.jpcc.4c05826</a></span>). The authors are Henrik Hoyer and Christan Hess*. The zip file includes the data for figures 2 and 3 in the manuscript and the data for figures S1-S12 in the SI. For more detailed information on the dataset, please refer to the description file. </p> <p>*email: christian.hess@tu-darmstadt.de</p>
CdSe Quantum Dots Sonochemically Synthesized in the Presence of Oleic Acid & Oleylamine at different concentrations- UV-Vis Spectra, Photoluminescence, SAXS
<p>Conntent Smmary: </p> <ul> <li>Data from experiments in which CdSe quantum dots and magic sized clusters were sonochemically synthesized in the presence of Oleic Acid and Oleylamine at different concentration. A total of 625 unique sample conditions were tested, in triplicates using an open-hardware sonochemical materials acceleration platform (Jubilee) and a liquid handling robot ( Opentrons)</li> <li>Notebooks for loading and plotting the data</li> </ul> <p>README: </p> <p><strong>/Spectral_Data</strong></p> <p>The primary portion of te experimental dataset. UV-Vis spectroscopy was collected on a Biotek Epoch 2 micropate spectrometer. The Photoluminescence data was collected on a Biotek Synergy H1 microplate spectrometer. Notebook to visualize the data can also be found in this folder. </p> <p>The<strong> "CdSe_sample_info.csv" </strong>contains all the sample information, including:</p> <ol> <li>Metal precursors and ligands concentration (M)</li> <li>Labware information- name, OT2 deck location, plate number</li> <li>Sample code- this is a combination of plate # and well position within the plate</li> </ol> <p>The "<strong>CdSe_Summary_Final.csv"</strong> contains all the sample information, along with the key parameters extracted from the UV-Vis and Photoluminescence data. These include, first peak position & peak intensity from both spectroscopic tecniques, particle diameter ( based on the UV-Vis peak position) for all 3 replicates. </p> <p>Finally,there are 3 notebooks to visualize the data in their spectral form, for both pre and post processing of the samples, as well as the notebook to recreate the scatterplot visualization of the summary parameters from the spectroscopic techniques implemented. </p> <p><strong>/Spectral_Data/Spectral_Data_Files</strong></p> <p>Folder containing all the raw data for the pre and post processing of the CdSe samples for UV-Vis spectroscopy and Photoluminescence spectroscopy. </p> <p><strong>/SAXS_Data</strong></p> <p>Folder containing all the data small-angle X-ray scattering data. This was collected on a Xenocs Xeuss 3.0 SAXS instrument. </p> <p>The "<strong>SAXS_Sample_Composition.csv" </strong> file contains the composition of precursors and ligands for the subset of samples tested using small-angle scattering. </p> <p>Notebooks to visualized the SAXS profiles obtained for all samples characterized, as well as their comparison with UV-Vis data can also be found in this folder. </p> <p><strong>/SAXS_Data/Reduced_Raw_Data</strong></p> <p>Folder containing the 1D data obtained from the reduction of the 2D dector data for each sample tested at three different dector distances ( 50, 370, and 900 nm). </p> <p><strong>/SAXS_Data/Processed_Data</strong></p> <p>Folder containing the final process SAXS data which includes merging of the data in the 3 tested instrumental configuration and subsequent background subtraction. </p> <p><strong>/SAXS_Data/McSAS_Fit_Data</strong></p> <p>Folder containing the results obtained form fitting the SAXS data from the diluted samples using the McSAS Python software. The fitting parameters used for the samples can be found in the <strong>"SAXS_Sample_McSAS_Fitting_Parameters.csv" </strong>file.</p> <p><strong>/SAXS_Data/UV-Vis_Data/ </strong></p> <p>Folder containing the UV-Vis data of the subset of samples characterized using SAXS. </p>
UV-Vis absorption data for five common crystalline explosives
<p>Absolute spectral absorption data for PETN, RDX, HMX, HMS and Cl-20. DOI will be referenced from a journal article so that readers can have access to the numerical data used in one of the plots.</p>
UV-Vis spectroscopic investigation of WS2 flakes, AuNP@WS2 and porphyrin-functionalized AuNP@WS2
<p>This dataset contains UV-Vis spectroscopic analysis of WS2 nanoflakes decorated with Au NP and THPP (<span>5,10,15,20-tetrakis(4-hydroxyphenyl)porphyrin</span>).</p>
Gold Nanoparticles Synthesized in the Presence of Peptides - UV-Vis Spectra, Fluorescence, USAXS, Electron Microscopy; pre-publication version
<p>Content Summary:</p> <ul> <li>Data from experiments in which gold nanoparticles were synthesized in the presence of peptides using a liquid-handling robot. Samples were analyzed using UV-Vis spectroscopy, fluorescence emission, USAXS, TEM, and SEM. </li> <li>Notebooks for loading and plotting data</li> <li>Code for synthesizing samples using an OT2 Opentrons liquid-handling robot.</li> </ul> <p>README:</p> <blockquote> <p><strong>/Data</strong></p> <p>Contains all UV-Vis, electron microscopy, fluorescence, and SAXS data for gold nanoparticles synthesized in the presence of peptides and HEPES.</p> <p><strong>/Data/2021_12_30_Prepared_UV_Vis_Data</strong></p> <p>The primary portion of the experimental dataset. UV-Vis spectroscopy data collected on a Biotek Epoch 2 microplate spectrophotometer 24 hours after samples were synthesized using a liquid handling robot (Opentrons OT2). The <strong>4x4x4_SI.csv </strong>file is the compilation of all sample information:</p> <ul> <li>Concentrations (M) of peptide, HAuCl4, and HEPES</li> <li>UID – unique ID based on date of synthesis, sample position, and peptide which was used to synthesize the sample.</li> <li>Peptide names: Z2: RMRMKMK; MZ2: myristoylated - RMRMKMK; MZ2R: myristoylated - KMKMRMR; PZ2: palmitoylated – RMRMKMK; Z2M6I: RMRMKIK; Z2M246I: RIRIKIK; AG3: AYSSGAPPMPPF.</li> </ul> <p>Each sample’s UID is a key to match with UV-Vis measurement result stored in the {<strong>UID}.txt </strong>files. Each of these files contains the wavelength, absorbance, and absorbance after subtraction of a water measurement.</p> <p><strong>/Data/ElectronMicroscopy</strong></p> <p>Scanning electron microscopy and transmission electron microscopy results of gold nanoparticles formed from the reduction of HAuCl4 in the presence or absence of different peptides.</p> <p>Fig A, B, C, D, E/F were prepared in the presence of Z2, Z2M6I, Z2M246I, no peptide, and MZ2R, respectively.</p> <p><strong>/Data/Fluorescence</strong></p> <p>Pyrene fluorescence data collected in the presence of different concentrations of lipidated peptides (MZ2, MZ2R, and PZ2) for estimation of the peptide critical micelle concentration.</p> <p><strong>/Data/SAXS</strong></p> <p>SAXS data of a high concentration of MZ2 which was fit using a cylindrical model form factor. The evaluated model is also shared in this directory.</p> <p><strong>/Data/USAXS</strong></p> <p>Similarly to the UV-Vis data directory, the <strong>USAXS_SI.csv</strong> file contains sample information for all of the USAXS measurements. The <strong>dsm_rg.csv</strong> file contains the output of AUTORG evaluated on the desmeared data after subtraction of a flat background at high-q. <strong>/DSM_Nexus, DSM_sub_AUTORG, </strong>and <strong>SMR_Nexus</strong> contain the desmeared, desmeared with background subtraction, and smeared versions of the USAXS data, respectively.</p> <p><strong>/Notebooks</strong></p> <p>Notebooks for plotting the shared data and estimating the CMC from the fluorescence data. See <strong>/Notebooks/environment.yml</strong> for packages necessary to execute the notebooks here and in <strong>/Synthesis_Protocol</strong>. Refer to <a href="https://github.com/SasView/sasmodels">https://github.com/SasView/sasmodels</a> for specific instructions on how to install the sasmodels module.</p> <p><strong>/Figures</strong></p> <p>Figures generated from <strong>/Notebooks</strong>.</p> <p><strong>/Synthesis_Protocol</strong></p> <p>Please read the instructions within <strong>/Synthesis_Procol/Example.ipynb</strong>. In short, this folder contains the code used to synthesize the samples in this dataset using an OT2 Opentrons liquid handling robot.</p> <p> </p> </blockquote>
UV-Vis absorbance data, molar extinction coefficients and circular dichroism spectra for the two cyanobacterial metabolites anabaenopeptin A and anabaenopeptin B
<p>Data for:</p> <p>"<span>The UV-Vis absorbance spectra, molar extinction coefficients and circular dichroism spectra as well as NMR and mass spectrometry spectra were determined for two prominent secondary metabolites from cyanobacteria, namely anabaenopeptin A and anabaenopeptin B. The compounds were extracted from the cyanobacterium </span><em><span>Planktothrix rubescens</span></em><span> CBT929 and purified by flash chromatography and HPLC. Exact amounts of isolated compounds were assessed by quantitative <sup>1</sup>H-NMR with internal calibrant ethyl 4-(dimethylamino)benzoate in DMSO-<em>d<sub>6</sub></em> at 298 K with a recycle delay (d1) of 120 s. UV-Vis absorbance spectra were recorded in methanol at room temperature. Molar extinction coefficients were determined at 278 nm as 4190 M<sup>-1</sup> cm<sup>-1</sup> and 2300 M<sup>-1</sup> cm<sup>-1</sup> in methanol for anabaenopeptin A and anabaenopeptin B, respectively. Circular dichroism spectra and secondary fragmentation mass spectra are also reported."</span></p>
Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders: Synthetic dataset for validation of trace gas retrieval algorithms
<p>This data set is described in detail in a paper submitted to AMTD:</p> <p><strong>Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders - Part I: Synthetic dataset for validation of trace gas retrieval algorithms</strong></p> <p>by Claudia Emde, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and<br> Bernhard Mayer</p> <p> </p> <p>The subdirectory <em>boxcloud</em> includes synthetic reflectances for clearsky, 1D cloud and box cloud.</p> <p>The subdirectory <em>les_cloud</em> includes synthetic reflectances for the LES cloud scenario for low earth orbit (<em>leo</em>) and geostationary orbit (<em>geo</em>).</p> <p>All data are provided in <em>netcdf</em> format.</p> <p> </p>
Research Data for "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies"
<p>This dataset provides the underlying experimental and simulation raw data supporting the figures of both main text and supporting information of the paper "Kinetic Analysis of the Self-Discharge of the NiOOH OER Active Phase in KOH Electrolyte: Insights from In-Situ Raman and UV-Vis Reflectance Spectroscopies" appearing in <em>Journal of Catalysis</em> under DOI: <a href="https://doi.org/10.1016/j.jcat.2024.115823" rel="noreferrer">https://doi.org/10.1016/j.jcat.2024.115823</a>.</p>
Point-of-care Monitoring of Antibiotic Concentration in Blood With UV-VIS Absorption Spectroscopy
ClinicalTrials.gov study NCT04282785. IPD Sharing: Not stated. Countries: 1. Publications: 20.
High-throughput Synthesis and Transformations of CsPbBr nanocrystals characterized by UV-Vis Absorption and Fluorescence
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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.