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723 results for “UV”
The Quest for the Missing Dust: New Herschel Maps of Local Group Galaixes (LMC, SMC, M31, M33) that Restore Previously-Missed Extended Emission, Along With SED-Fitting Results, Hydrogen Gas Maps, and Swift UV Observations
<p>Here we provide the data products from publications:</p> <p>Clark, C.J.R., et al., <em>The Quest for the Missing Dust: I – Restoring Large Scale Emission in Herschel Maps of Local Group Galaxies</em>, ApJ 921 35</p> <p>Clark, C.J.R., et al., <em>The Quest for the Missing Dust: II – Two Orders of Magnitude of Evolution in the Dust-to-Gas Ratio Resolved Within Local Group Galaxies</em>, ApJ 946 42</p> <p>This data concerns four Local Group galaxies: the Large Magellanic Cloud (LMC), the Small Magellanic Cloud (SMC), M31, and M33.</p> <p> </p> <p>For each galaxy, we provide our new Herschel maps, as described in the above publications, which were combined in Fourier space ('feathered') with Planck, IRAS, and COBE data, in order to restore extended emission that was removed from previous Herschel reductions for these galaxies.</p> <p>For each galaxy, we provide this new Herschel data for 5 Hershcel bands: the PACS 100 and 160 <span>\(\mu\)</span>m bands, and the SPIRE 250, 350, and 500 <span>\(\mu\)</span>m bands. This data is provided in FITS format, with one FITS file for each band for each galaxy. Each of these files contains 4 extensions. Extension 1 (IMAGE) provides the standard feathered map. Extension 2 (UNC) provides the uncertainty map. Extension 3 (MASK) provides a binary mask map indicating the portion of the data where reliable, fully-feathered high-resolution coverage is available. Extension 4 provides the foreground-subtracted version of the feathered map (FGND_SUB), the header of which also describes the uncertainty on that subtraction. All maps are in units of MJy/sr (except the MASK extension, which is boolean).</p> <p> </p> <p>We also provide the outputs of our Spectral Energy Distribution (SED) fitting to this data, as described in the publications. For each galaxy, we provide FITS files giving the median value of each parameter in each pixel, and maps of the uncertainties on those medians (being the 68.3% quantile around the median). The parameters are dust mass surface density (SED_Sigma_Mass.fits), dust temperature (SED_Temp.fits), beta 1 (SED_Beta1.fits), beta 2 (SED_Beta2.fits), break wavelength (SED_Break.fits), and 500 <span>\(\mu\)</span>m excess (SED_Excess500.fits). Each of these files contain 2 extensions. Extension 1 (median) provides the map of pixel parameter median values. Extension 2 (uncert) provides the map of uncertainties on those medians.</p> <p>Additionally, we provide the full posterior probability distribution for all SED parameters, consisting of 1000 posterior samples, for all pixels, in the form of a FITS file containing a 4-dimensional hypercube, with axes corresponding to right ascension, declination, parameters (in order: dust mass surface density, dust temperature, beta 1, beta 2, break wavelength, and 500 <span>\(\mu\)</span>m excess), and samples. This is provided as a gzip compressed FITS file for each galaxy.</p> <p>Furthermore, provide the Swift-UVOT maps used in Paper II. This data is provided for Swift-UVOT bands W1, W2, and M2. For each band, we provide a FITS file containing 3 extensions. Extension 1 (SURF_BRI) provides the map of surface brightness in MJy/sr (converted using the Swift-UVOT zero points given in Breeveld et al., 2011). Extension 2 (RATE) provides the map of count rate (in photons/sec). Extension 3 (EXP) provides the map of exposure time (in sec). The maps for the LMC and SMC are those presented in Hagen et al. (2017). The maps for M31 and M33 are were reduced following the same process as those in Hagen et al. (2017), and will be fully presented in Decleir et al. (in prep.), but are provided here for the purposes of reproducibility.</p> <p>Lastly, for each galaxy, we provide our maps of the hydrogen surface density (Sigma_H.fits), and dust-to-gas ratio (DtG.fits). None of the maps presented have had deprojection corrections applied</p> <p> </p>
Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption
<p>Raw Dataset from which the publication of the article "Ultrathin a-Si:H/Oxide Transparent Solar Cells Exhibiting UV-Blue Selective-Like Absorption" (10.1002/solr.202200928) is derived.</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>
ESA SEOM-IAS – Measurement and ACS database O3 UV region
<p>The database contains measurements and absorption cross sections generated within the framework of the ESA project SEOM-IAS (Scientific Exploitation of Operational Missions - Improved Atmospheric Spectroscopy Databases), ESA/AO/1-7566/13/I-BG. Details on the project can be found at http://www.wdc.dlr.de/seom-ias/.</p> <p>The measurements were recorded at the German Aersopace Center (DLR) to provide a new absorption cross section database for ozone according to the needs of the TROPOMI instrument aboard the Sentinel 5-P satellite. The data are compiled in 2 zip files, one for the measurements (O3_UV_region_measurement_database_13112018.zip), one for the absorption cross sections (O3_UV_region_absorption_cross_section_database_13112018.zip) and a readme file (ESA_SEOM_IAS_spectra_O3UVRegion_readme.docx).</p> <p>The file “ACS_pTpoly_2nd+1st_order_BGcoefffit_constant_offset_V2.asc” in version II replaces the older version which contained an error in the wavelength axis. The readme file was updated, too.</p>
Data and code for "Assessment of the accuracy in UV index modelling using the UVIOS2 system during the UVC-III campaign"
<p>Datasets nd codes that have been used for the paper with tittle "Assessment of the accuracy in UV index modelling using the UVIOS2 system during the UVC-III campaign"</p>
An energy harvester based on UV-polymerized short-alkyl-chain-modified [DBU][TFSI] ionic liquid electrets
<p>This dataset contains the measurement data for figures published in the journal article: </p> <p>An energy harvester based on UV-polymerized short-alkyl-chain-modified [DBU][TFSI] ionic liquid electrets (https://doi.org/10.1039/D3TA05448A)</p> <p>by Topias Järvinen, Nemanja Vucetic, Petra Palvölgyi, Olli Pitkänen, Tuomo Siponkoski, Helene Cabaud, Robert Vajtai, Jyri-Pekka Mikkola and Krisztian Kordas</p>
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>
Operating diagram of hatching module, this module consists of two clearly separated sections, each consisting of two long tanks (2 × 0.2 × 0.2 m) designed to accommodate hatching boxes, a filtration tank and an independent water circulation pump with a cooling unit and UV sterilizer. This allows simultaneous monitoring of 16 batches of eggs. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of hatching module, this module consists of two clearly separated sections, each consisting of two long tanks (2 × 0.2 × 0.2 m) designed to accommodate hatching boxes, a filtration tank and an independent water circulation pump with a cooling unit and UV sterilizer. This allows simultaneous monitoring of 16 batches of eggs.
Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of hatching module in Zoug jars, this system consists of a 300-litre temperature-controlled isothermal enclosure containing 10 one-litre Zoug jars, each able to accommodate several hundred eggs. An ascending current holds the eggs in suspension and carries the larvae to the surface. Another bottle connected to this device collects the larvae. The water circulating in the jars is independent of that used in the filtration circuit. A cooling unit and UV sterilizer complete the installation.
UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function
<p><span>We present the data of the study by Gao et al. (202</span><span>4</span><span>): <a name="_Hlk179470571"></a><a name="OLE_LINK42"></a><strong><span>UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function</span></strong></span><span>.</span><span> The excel file (Raw Data) includes the following sheets: 1- Radiation (w·m<sup>-2</sup>) variation of UV-A and UV-B during the experimental period. 2- Decay constants (<em>K</em>, yr<sup>−1</sup>) and changes in the mass loss rate of litter under different UV conditions during the experimental period<span>. 3- </span>The content of lignin, cellulose, C, N and P of litter under different UV conditions during the experimental period<span>. 4-</span></span><span> </span><span>16S ASVs under different UV conditions<span>. 5-</span></span><span> </span><span>ITS ASVs under different UV conditions.</span></p>
Supplementary Information for "UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module"
<p>This is the external Supplementary Information for our publication "UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module".</p> <p>The .pdf file contains the Supplementary Information: author contributions, accessibility statement, experimental procedures, additional discussions and supplementary items, among others.</p> <p>The .zip file contains the raw data and metadata for all items (supplementary and main text) as well as the calculation results.</p> <p>To some extent, this work builds on and borrows from our previous publications on spectral unmixing (https://doi.org/10.3390/mps2030060, https://doi.org/10.1002/cbic.202000204) and thermodynamic reaction control (https://doi.org/10.1002/adsc.201901230, https://doi.org/10.1002/cphc.202000901, https://doi.org/10.1021/acscatal.1c02589).</p>
The Transient UV Objects Project
<p>Poster and lightning talk for 'Exploring the Transient Universe with the Nancy Grace Roman Space Telescope': The Transient UV Objects Project, David Modiano.</p> <p>Note: apologies for the incorrect date in the first slide of the presentation! </p> <p>Abstract: Despite the prevalence of transient-searching facilities operating across most wavelengths, the ultraviolet (UV) transient sky remains to be systematically studied. Therefore, we have recently initiated the Transient Ultraviolet Objects (TUVO) project, with which we search for serendipitous UV transients in data obtained using currently available UV instruments with a strong focus on the UV/Optical (UVOT) telescope aboard the Neil Gehrels Swift Observatory. We constructed a pipeline (named TUVOpipe) in order to find such transients in the UVOT data, using difference image analysis. The pipeline is run daily on all new public UVOT data (which are available 6-8 hours after the observations are performed), so we discover transients in near real-time. Using TUVOpipe we have processed 111 330 individual UVOT images and we currently detect an average rate of ∼100 transient candidates per day. Of these daily candidates, on average ∼30% are real transients (separated by human vetting from the remaining ‘bogus’ transients which were not discarded automatically within the pipeline). Most of the real transients correspond to known variable stars, though we also detect a significant number of known active galactic nuclei and accreting white dwarfs. Some of the transients we find represent previously unreported new transients, or undiscovered outbursts of previously known transients, predominantly outbursts from cataclysmic variables. Here we describe TUVOpipe and some of the initial results we have so far obtained.</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>
Supplementary Information for "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB Module"
<p>This is the external Supplementary Information for our publication "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module".</p> <p>Unlike most of our publications, this short paper does not come with an official Supplementary Information. However, this zenodo entry contains the raw data and metadata for all items in the main text as well as all raw NMR spectra.</p> <p>For more details on this work, please see the origin publication detailing PUB (10.1021/acs.analchem.1c05356) as well as its external Supplementary Information on this platform (10.5281/zenodo.5760392).</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 2 for UV Plasmon-Enhanced Chiroptical Spectroscopy of Membrane-Binding Proteins, June 2024
<p>Scanning electron microscopy images of Al nanostructures</p>
Fig. 2 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 2. Nomarski images (A-1−F-1) and their fluorescence photomicrographs (A-2−F-2) showing the formation of the auto-fluorescent cyst wall and NSPs in the encysting cells (wet cysts) after the onset of encystment induction. The cyst age (3 h to 5 days; A–F) is given at the upper right of each photograph. ec/en: ectocyst-endocyst complex, ec: an ectocyst layer, le: lepidosomes, ma: macronucleus, mu: mucus, NSP: nuclei-surrounding particle.
Fig. 1 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 1. Photomicrographs of yellowish auto-fluorescent structures of the mature cysts (wet cysts) of C. cucullus Nag-1 aged>2 weeks by UV excitation (A−D) and electron micrographs showing auto-fluorescent nuclei-surrounding particles (NSPs) (E, F) and cyst wall components (G). A, B − A Nomarski image (A) of a mature resting cyst and its fluorescence photomicrograph (B) showing autofluorescent structures. cw: cyst wall, ma: macronucleus. C−D − A Nomarski image (C) of a mature resting cyst and its fluorescence photomicrograph (D) showing autofluorescent layers of cyst wall. ec/en: an ectocyst-endocyst layer complex, en: endocyst layer. E−F − Electron micrographs showing NSPs. G − Electron micrograph showing cyst wall components. ec: ectocyst layer, en-1: first-synthesized layer of endocyst, en-2–6: second – sixth layers of endocyst, m: plasma membrane.
Fig. 4 in Tolerance of Colpoda cucullus Nag-1 Resting Cysts and Presumed Structure for Protection against UV Light
Fig. 4. Nomarski image (A-1) and its fluorescence photomicrograph (A-2) of a vacant cyst (cyst wall sample) obtained from 1-weekaged mature cysts of C. cucullus Nag-1, and its absorption spectrum (B) obtained by a spectrophotometer equipped with an integrating sphere.
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.