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1,445 results for “Irradiance”

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zenodo40/100

Fig. 2 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)

Fig. 2. Comparison of an insectary air-stream coLLection system and postcoLLection chiLLing (8 ± 1 °C) to manuaL coLLection without chiLLing (25 ± 1 °C) on the mean number of male Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Dec 2013 and Jan 2014.

opencc-by-4.0Jun 2016View details →
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Fig. 7 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)

Fig. 7. Comparison of an insectary air-stream coLLection system and post-coL- Lection chiLLing (8 ± 1 °C) to manuaL coLLection without chiLLing (25 ± 1 °C) on the totaL distance (m) flown by maLe Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Jan 13 and Apr 7, 2014.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 1 in Timing of irradiation and male mating history effects on female remating in Anastrepha ludens (Diptera: Tephritidae)

Fig. 1. Interaction between age of pupal irradiation (24, 48, or 72 h before emergence) and male previous sexual experience (virgin, once mated, or twice mated) of the GSS strain of A. ludens (Tapachula-7) males on wild female likelihood to remate (N = 945).

opencc-by-4.0Sep 2017View details →
zenodo40/100

A 10 Hz irradiance dataset from Oldenburg, Germany

<p><strong>Abstract.</strong> Three EKO ML-01 photodiode pyranometers are continually recording 0.1 s global horizontal irradiance samples as part of an in-house weather observation system of the Oldenburg Energy Meteorology Group. The sensors are mounted level on a university building rooftop with inter-sensor distances of about 15 m. A bi-weekly maintenance schedule allows for frequent verification of the horizontal orientation and cleaning of the glass dome. The measurement quality was verified manually using additional measurements from a well-established co-located thermopile pyranometer. Here, we publish more than one and a half years worth of data collected between May 1, 2015 and December 31, 2016.</p>

opencc-by-nc-4.0Apr 2018View details →
zenodo40/100

Dataset of Paper "Material selection and prediction of solar irradiance in plastic devices for application of solar water disinfection (SODIS) to inactivate viruses, bacteria and protozoa"

<p>Datasets of Paper &ldquo;Predictive evaluation of solar irradiance in solar disinfection water plastic containers&rdquo;.</p> <p>Data of the transmission spectra of the polymers: PMMA, PET, PC and PP.</p> <p>Data of the extinction coefficient spectra of the polymers: PMMA, PP, PC and PET.</p> <p>Data of the spectral incident radiation as a&nbsp;function of the thickness for PMMA, PET, PC and PP containers.</p> <p>Data of the spectral incident radiation required for inactivation of <em>MS2</em> virus, <em>E. coli</em> bacteria and <em>C. parvum</em> protozoa in a PMMA, PET, PC and PP containers.</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

X-ray and ion irradiation effects on azurite, malachite and alizarin pictorial models

<p>XPS was used to analyze X-ray effects on pellets of azurite, malachite and alizarin pure pigments and on azurite and alizarin tempera paint mock-ups, where the pigments were mixed with egg yolk. X-ray radiation damage was assessed by comparing successive high-resolution spectra acquired on the same spot. The spectra of the pure pigments show low radiation sensitivity and reactivity under the selected X-ray irradiation conditions, although some differences among them were detected. Whereas alizarin does not experience surface chemical changes during the prolonged irradiation experiment, a slow progressive chemical reduction of azurite and malachite (copper-based pigments), together with the formation of cuprite, is observed. On the other side, tempera paint mock-ups are sensitive to X-rays and alterations of the egg yolk binding medium are displayed in a shorter time scale than the induced chemical modifications of the pure pigments. Besides, XPS allows to determine that the azurite pigment and the binder interact chemically. Azurite is partially reduced in the tempera paint from the beginning of the irradiation experiment and the subsequent X-ray exposure induces further reduction.</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

X-ray and ion irradiation effects on azurite, malachite and alizarin pictorial samples

<p>XPS was used to analyze X-ray effects on pellets of azurite, malachite and alizarin pure pigments and on azurite and alizarin tempera paint mock-ups, where the pigments were mixed with egg yolk. X-ray radiation damage was assessed by comparing successive high-resolution spectra acquired on the same spot. The spectra of the pure pigments show low radiation sensitivity and reactivity under the selected X-ray irradiation conditions, although some differences among them were detected. Whereas alizarin does not experience surface chemical changes during the prolonged irradiation experiment, a slow progressive chemical reduction of azurite and malachite (copper-based pigments), together with the formation of cuprite, is observed. On the other side, tempera paint mock-ups are sensitive to X-rays and alterations of the egg yolk binding medium are displayed in a shorter time scale than the induced chemical modifications of the pure pigments. Besides, XPS allows to determine that the azurite pigment and the binder interact chemically. Azurite is partially reduced in the tempera paint from the beginning of the irradiation experiment and the subsequent X-ray exposure induces further reduction</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

SHI irradiated H2CO and CO2 interstellar analog ices

<p><span>Pure H</span><span>2</span><span>CO ice irradiation experiments were carried out at the Grand Acc&eacute;l&eacute;rateur National d&rsquo;Ions Lourds (GANIL, Caen, </span><span>153 </span><span>France) on the IRRSUD beamline</span><span> </span><span>with the IGLIAS&nbsp;setup between May 14 and 16,</span><span> </span><span>2021. The vacuum chamber was cryocooled down to a temperature of about 10 K, and held at a pressure of </span><span>&sim; </span><span>5 </span><span>&times; </span><span>10</span><span>&minus;</span><span>10 </span><span>mbar. Infrared spectra were collected with a Bruker Vertex 70v</span><span> </span><span>Fourier transform infrared spectrometer (FTIR), operating with a HgCdTe-detector and a 1 cm</span><span>&minus;</span><span>1 </span><span>spectral resolution. The</span><span> </span><span>angle between the spectrometer beam and the sample surface was 12</span><span>◦</span><span><span>&nbsp;</span></span><span>. Thin films with thicknesses of </span><span>&sim; </span><span>0</span><span>.</span><span>53 </span><span>&mu;</span><span>m were deposited at normal incidence with a needle placed at around 15</span><span> </span><span>mm from a ZnS window. The pressure during injection was typically 10</span><span>&minus;</span><span>7 </span><span>mbar. The deposition rate was adjusted to get a good&nbsp;optical quality, and the sample thickness was estimated using&nbsp;</span><span>&nbsp;</span><span>the band strengths of <span>Bouilloud et al. </span>(<span>2015</span>) and the interference fringes from the infrared spectra. H</span><span>2</span><span>CO was produced from the thermal decomposition of paraformaldehyde (Sigma Aldrich,&nbsp;purity 95%), heated at 100</span><span>◦</span><span>C in a homemade oven maintained&nbsp;under secondary vacuum (</span><span>&sim; </span><span>10</span><span>&minus;</span><span>7 </span><span>mbar). The gaseous species&nbsp;sputtered in the chamber were detected with a MKS Microvision&nbsp;2 quadrupole mass spectrometer (QMS). The branching ratios&nbsp;of the species&rsquo; fragments were evaluated during their injection.&nbsp;Irradiations were conducted with a </span><span>86</span><span>Kr</span><span>18</span><span>+ </span><span>beam of 0.86&nbsp;MeV</span><span>/</span><span>u (74 MeV) corresponding to an electronic stopping&nbsp;power of 2830 eV(10</span><span>15 </span><span>molecules.cm</span><span>&minus;</span><span>2</span><span>)</span><span>&minus;</span><span>1 </span><span>for an H</span><span>2</span><span>CO ice&nbsp;of 0.81 g cm</span><span>&minus;</span><span>3 </span><span>(<span>Bouilloud et al. 2015</span>), as computed with the&nbsp;</span><span>SRIM-2013 </span><span>code</span><span>2 </span><span>(<span>Ziegler et al. 2010</span>). The flux was 5 </span><span>&times; </span><span>10</span><span>8&nbsp;</span><span>ions.cm</span><span>&minus;</span><span>2 </span><span>.s</span><span>&minus;</span><span>1 </span><span>, and the fluence reached at the end of the experiment was 4</span><span>.</span><span>36 </span><span>&times; </span><span>10</span><span>12 </span><span>ions cm</span><span>&minus;</span><span>2 </span><span>. Infrared spectra monitoring the ice composition were taken every two minutes starting from the beginning of the irra-&nbsp;diation. The QMS continously scanned masses from 0-80 u, with&nbsp;</span><span>&nbsp;</span><span>a scan duration of </span><span>&sim; </span><span>15 s.&nbsp;</span></p> <p><span>Additionally, a control experiment under the same conditions was carried out in which we irradiated a </span><span>&sim; </span><span>0</span><span>.</span><span>81</span><span>&mu;</span><span>m&nbsp;CO</span><span>2 </span><span>(Air Liquide, purity </span><span>&ge; </span><span>99</span><span>.</span><span>998%) ice film with the same&nbsp;beam, corresponding to an electronic stopping power of 3290&nbsp;eV (10</span><span>15 </span><span>molecules.cm</span><span>&minus;</span><span>2 </span><span>)</span><span>&minus;</span><span>1 </span><span>, also computed with </span><span>SRIM-2013</span><span>, for a CO</span><span>2 </span><span>density of 1.0 g.cm</span><span>3 </span><span>(<span>Satorre et al. 2008</span>). For this&nbsp;</span><span>&nbsp;</span><span>experiment, the flux varied between 1</span><span>.</span><span>1 </span><span>&times; </span><span>10</span><span>9 </span><span>and 2</span><span>.</span><span>1 </span><span>&times; </span><span>10</span><span>9&nbsp;</span><span>&nbsp; </span><span>ions.cm</span><span>&minus;</span><span>2</span><span>.s</span><span>&minus;</span><span>1 </span><span>throughout the irradiation and the final fluence&nbsp;was 10</span><span>13 </span><span>ions.cm</span><span>&minus;</span><span>2 </span><span>. </span></p> <p><strong><span>&nbsp;</span></strong></p>

opencc-by-4.0Aug 2024View details →
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Fig. 1 in Effect of UV-C irradiation on greenhouse whitefly, Trialeurodes vaporariorum (Hemiptera: Aleyrodidae)

Fig. 1. Mean ± SE number of Trialeurodes vaporariorum adults per plant (A), nymphs per 9-leaf sample (B), and eggs per 9-leaf sample (C) per wk from tomato plants treated nightly with a 16-s UV-C treatment or lef untreated from 28 Jun to 2 Aug 2018. *Indicates a significant difference between treatment and control at P &lt;0.05).

opencc-by-4.0Aug 2021View details →
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Dataset for "Laser-Assisted Etching of EagleXG Glass by Irradiation at Low Pulse-Repetition Rate"

<div>This dataset contains the raw data at the basis of the graphs and pictures reported in the paper:</div> <div>"Laser-assisted etching of EagleXG glass by irradiation at low pulse-repetition rate"</div> <div>by Roberto Memeo, Mattia Bertaso, Roberto Osellame, Francesca Bragheri and Andrea Crespi.</div> <div>&nbsp;</div> <div>This paper is published as:</div> <div>Appl. Sci. 2022, 12(3), 948.&nbsp; https://doi.org/10.3390/app12030948</div> <div>&nbsp;</div> <div>Each folder refers to the corresponding picture in the published paper and contains the .pdf file of the picture itself and the .csv file of the raw data for the graphs, if present.</div>

opencc-by-4.0Sep 2024View details →
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Experimental dataset: C-SMART for reliable and efficient NN inference in a neutron-irradiated bare-metal system

<p>Will add more information soon.</p>

opencc-by-4.0May 2023View details →
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Radiometer network dataset of 10 Hz spectral irradiance and derived variables (LIAISE campaign)

<p><strong>Description</strong></p> <p>Measurements from the spatial network of 15 radiometers deployed at the LIAISE field campaign in 2021.</p> <p>14 July 2021 until 28 July 2021.</p> <p><strong>Dataset Contents</strong></p> <ul> <li><em>rsds: </em>Total shortwave downwelling solar irradiance @ 10 Hz, 1 sec, and 1 minute resolution (Level 2, derived dataset)</li> <li><em>prw: </em>Total column integrated water vapour @ 1 sec resolution (Level 2, derived dataset)</li> <li><em>spectrum: </em>Pre-calibrated solar spectral irradiance measurements @ 10 Hz resolution (Level 1, source dataset)</li> <li><em>raw data:</em> straight from the sensors (Level 0)</li> </ul> <p><strong>Dataset Quality</strong></p> <p>All data is quality controlled and completed with metadata and quality flags. Level 2 data is calibrated against high quality references, and derived from Level 1 data.</p> <p>Methodology, performance, and usage all described in detail in an upcoming pre-print.</p> <p><strong>References and more info</strong></p> <ul> <li><a href="https://egusphere.copernicus.org/preprints/2022/egusphere-2022-726/">Radiometer reference paper (FROST)</a></li> <li>LIAISE <a href="https://liaise.aeris-data.fr/">campaign website</a>, <a href="https://liaise.aeris-data.fr/page-catalogue/?uuid=594dbc5d-986e-4679-b0ec-7d1e29b5cab9">LIAISE database</a></li> <li>Dataset description paper: <a href="https://arxiv.org/abs/2307.06980">pre-print on Arxiv</a></li> <li>Code to produce these data <a href="https://doi.org/10.5281/zenodo.10159129">on Zenodo</a></li> </ul> <p><strong>Version History</strong></p> <p>v1.2: fixed bug of incorrect wavelength labeling, all bands but 900 and 940 nm were affected. This only concerns the 10 Hz spectrum data, rest unchanged.</p> <p>v1.1: added raw (level 0) data, fixed typo in file name for the 10 Hz spectrum zip (L2 -&gt; L1).</p>

opencc-by-4.0Dec 2022View details →
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Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al2O3

<p>The collection of uploaded files constitutes&nbsp;a&nbsp;dataset&nbsp;supporting our findings, titled&nbsp;Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis&nbsp;of &alpha;-Al<sub>2</sub>O<sub>3</sub>, to be submitted to a scientific journal.</p> <p>The co-authors are&nbsp;Jihye Kwon&nbsp;and Hyoung Seop Kim, both at&nbsp;Pohang University of Science and Technology (POSTECH), Republic of Korea</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Simulated top-of-atmosphere (120 km) downward and upward solar and thermal-infrared irradiances and ice cloud optical thickness; calculated solar, TIR and net cloud radiative effect. Simulated with ice crystal properties for aggregates, droxtals, and plates based on Yang (2013).

<p>This dataset consists of three .nc files for ice crystal shapes of aggregates, plates, and droxtals. The files include ice cloud optical thickness <span class="math-tex">\(\tau\)</span> (550nm), the simulated upward and downward irradiances <span class="math-tex">\(F\)</span> at the top-of-atmosphere (with and without the presence of the ice cloud), and the calculated ice cloud radiative effect <span class="math-tex">\(\Delta F\)</span> (solar [0.3-3.5 <span class="math-tex">\(\mu\)</span>m], thermal-infrared [3.5-75 <span class="math-tex">\(\mu\)</span>m], and net). The data set allows the user to extract <span class="math-tex">\(\Delta F\)</span> values for their parameter combinations. The available cloudy and cloud-free irradiances further allow to calculate the cirrus radiative effect (RE) by scaling the &#39;cloudy&#39; RE with the required cloud cover. This serves as a first-approximation because, as 3D effects are neglected.</p>

opencc-by-4.0Jul 2023View details →
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PFR AOD and solar irradiance data aquired during the MAPP project.

<p>Aerosol optical depth&nbsp; and&nbsp; solar irradiance data acquired&nbsp;&nbsp; in the frame&nbsp; of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04 with the Precision FilterRadiometer PFR-98-N-001. &nbsp;&nbsp;</p> <ul> <li>Monitoring&nbsp; period&nbsp; at Davos, 2021 -2022</li> <li>Rome Campaign&nbsp;&ndash; Sep.2021</li> <li>Iza&ntilde;a&nbsp; Campaign&nbsp;-Sep.2022</li> </ul> <p>for&nbsp; the&nbsp; dataset of&nbsp; version 1.0 the calibration&nbsp; of the&nbsp; PFR is&nbsp; against&nbsp; the PFR-Triad has&nbsp; been&nbsp; used. For the&nbsp; SI-traceable AOD retrieval &nbsp;the PTB (Physikalisch-Technische Bundesanstalt, Braunschweig, Germany) calibration (Kouremeti, Nevas et al. 2022)&nbsp; has&nbsp; been&nbsp; used&nbsp; in combination&nbsp; with &nbsp;QASUMEFTS (Gr&ouml;bner, Kr&ouml;ger et al. 2017) for 368&nbsp;nm and&nbsp; 412&nbsp;nm, and TSIS-1 &nbsp;(Coddington, Richard et al. 2021) for&nbsp; 501&nbsp;nm and 862&nbsp;nm.</p> <p><strong>Calibration Record </strong></p> <p>The &nbsp;calibration&nbsp; record&nbsp; given&nbsp; as&nbsp; Top-of-Atmosphere PFR signal (<em>V<sub>0</sub></em>) and the expanded combined uncertainty of &nbsp;<em>V<sub>0</sub></em> &nbsp;(<em>U) </em>are given&nbsp; in the &nbsp;following&nbsp; table in Volts .</p> <table align="center"> <tbody> <tr> <td> <p>&nbsp;</p> </td> <td> <p><strong>PFR-TRIAD (2021)</strong></p> </td> <td> <p><strong>PTB</strong></p> </td> <td> <p><strong>Langley Iza&ntilde;a</strong></p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p><em>V<sub>0&nbsp;</sub></em>(V)</p> </td> <td> <p><strong><em>U&nbsp;</em></strong>(V)</p> </td> <td> <p><em>V<sub>0&nbsp;</sub></em>(V)</p> </td> <td> <p><strong><em>U&nbsp;</em></strong>(V)</p> </td> <td> <p><em>V<sub>0&nbsp;</sub></em>(V)</p> </td> <td> <p><strong><em>U&nbsp;</em></strong>(V)</p> </td> </tr> <tr> <td> <p>862nm</p> </td> <td> <p>3.380</p> </td> <td> <p>0.017</p> </td> <td> <p>3.3602</p> </td> <td> <p>0.006</p> </td> <td> <p>3.376</p> </td> <td> <p>0.003</p> </td> </tr> <tr> <td> <p>501nm</p> </td> <td> <p>3.717</p> </td> <td> <p>0.010</p> </td> <td> <p>3.7326</p> </td> <td> <p>0.006</p> </td> <td> <p>3.712</p> </td> <td> <p>0.004</p> </td> </tr> <tr> <td> <p>412nm</p> </td> <td> <p>3.503</p> </td> <td> <p>0.010</p> </td> <td> <p>3.5368</p> </td> <td> <p>0.010</p> </td> <td> <p>3.493</p> </td> <td> <p>0.005</p> </td> </tr> <tr> <td> <p>368nm</p> </td> <td> <p>4.011</p> </td> <td> <p>0.012</p> </td> <td> <p>4.0438</p> </td> <td> <p>0.026</p> </td> <td> <p>4.006</p> </td> <td> <p>0.007</p> </td> </tr> </tbody> </table> <p>&nbsp;</p> <p><strong>Data description</strong>&nbsp;</p> <p>The data are daily files in&nbsp; matlab&nbsp; table format (table&nbsp; name PFR)</p> <p>The table&nbsp; contains&nbsp; 5 variables: &#39;Station&#39; , &#39;Instrument&#39; , &#39;Date&#39; , &#39;Data&#39; , &#39;MetaData_Flags&#39;</p> <p>The variables of each&nbsp; sub-table and&nbsp; theirs&nbsp; units can&nbsp; be seen&nbsp; using&nbsp; e.g. the &nbsp;following : &nbsp;</p> <p>PFR.Data{1}.Properties.VariableNames, PFR.Data{1}.Properties.VariableUnits</p> <p>The signal, irradiance and&nbsp; atmospheric transmittance have been&nbsp; corrected for&nbsp; the&nbsp; Sun-Earth distance&nbsp; and&nbsp; are given at 1AU. &nbsp;&nbsp;</p> <p><em>Measurements,&nbsp; calibration&nbsp; and&nbsp; aanlysis&nbsp; performed&nbsp; by NK&nbsp; </em></p> <p><strong>References </strong></p> <p>Coddington, O. M., E. C. Richard, D. Harber, P. Pilewskie, T. N. Woods, K. Chance, X. Liu and K. Sun (2021). &quot;The TSIS-1 Hybrid Solar Reference Spectrum.&quot; Geophysical Research Letters <strong>48</strong>(12): e2020GL091709.</p> <p>Gr&ouml;bner, J., I. Kr&ouml;ger, L. Egli, G. H&uuml;lsen, S. Riechelmann and P. Sperfeld (2017). &quot;The high-resolution extraterrestrial solar spectrum (QASUMEFTS) determined from ground-based solar irradiance measurements.&quot; Atmos. Meas. Tech. <strong>10</strong>(9): 3375-3383.</p> <p>Kouremeti, N., S. Nevas, S. Kazadzis, J. Gr&ouml;bner, P. Schneider and K. M. Schwind (2022). &quot;SI-traceable solar irradiance measurements for aerosol optical depth retrieval.&quot; Metrologia <strong>59</strong>(4): 044001.</p> <p><strong>Acknowledgments</strong></p> <p>This data was obtained within the joint research project EMPIR 19ENV04 MAPP &ldquo;Metrology for aerosol optical properties&rdquo; which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

PSR irradiance and AOD data aquired during MAPP project

<p>Aerosol optical depth&nbsp; (AOD) and&nbsp; solar irradiance data acquired&nbsp;&nbsp; in the frame&nbsp; of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04 with the Precision SpectroRadiometer PSR-009 (Gr&ouml;bner and Kouremeti 2019).</p> <p>The&nbsp; calibrations&nbsp; of&nbsp; the&nbsp; PSR-009 have been&nbsp; performed&nbsp; at PMOD/WRC while the&nbsp; straylight&nbsp; correction has&nbsp; been measured&nbsp; at PMOD/WRC and&nbsp; PTB.</p> <p>The Top-of-Atmosphere&nbsp; solar spectrum&nbsp; convolved&nbsp; with the slit functions&nbsp; of&nbsp; the&nbsp; PSR,&nbsp; used for&nbsp; the&nbsp; AOD retrieval &nbsp;is&nbsp; stated&nbsp; in&nbsp; the&nbsp; field&nbsp; <em>PSR.FN_ETS</em></p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; PSR_009_QASUMEFTS_env03_cosi_kittpeak_thullier_LSF_SLITextFillLSF.mat: QUASUMEFTS (Gr&ouml;bner, Kr&ouml;ger et al. 2017) (300-450 nm)&nbsp; and ATLAS &nbsp;(Thuillier, Hers&eacute; et al. 2003)(450 nm -1030 nm) &nbsp;&nbsp;&nbsp;&nbsp;</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; PSR_009_QASUMEFTS_TSIS_HSRSall_LSF_SLITextFillLSF.mat: QUASUMEFTS (Gr&ouml;bner, Kr&ouml;ger et al. 2017) (300-450 nm)&nbsp; and TSIS-1&nbsp; (Coddington, Richard et al. 2021) (450 nm -1030 nm)&nbsp; &nbsp;&nbsp;&nbsp;</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; PSR_009_TSIS_HSRSall_LSF_SLITextFillLSF.mat:&nbsp; TSIS-1&nbsp; (Coddington, Richard et al. 2021) &nbsp;</p> <p><strong>References </strong></p> <p>Coddington, O. M., E. C. Richard, D. Harber, P. Pilewskie, T. N. Woods, K. Chance, X. Liu and K. Sun (2021). &quot;The TSIS-1 Hybrid Solar Reference Spectrum.&quot; Geophysical Research Letters <strong>48</strong>(12): e2020GL091709.</p> <p>Gr&ouml;bner, J. and N. Kouremeti (2019). &quot;The Precision Solar Spectroradiometer (PSR) for direct solar irradiance measurements.&quot; Solar Energy <strong>185</strong>: 199-210.</p> <p>Gr&ouml;bner, J., I. Kr&ouml;ger, L. Egli, G. H&uuml;lsen, S. Riechelmann and P. Sperfeld (2017). &quot;The high-resolution extraterrestrial solar spectrum (QASUMEFTS) determined from ground-based solar irradiance measurements.&quot; Atmos. Meas. Tech. <strong>10</strong>(9): 3375-3383.</p> <p>Thuillier, G., M. Hers&eacute;, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon and H. Mandel (2003). &quot;The Solar Spectral Irradiance from 200 to 2400&nbsp;nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions.&quot; Solar Physics <strong>214</strong>(1): 1-22.</p> <p><strong>Acknowledgments</strong></p> <p>This data was obtained within the joint research project EMPIR 19ENV04 MAPP &ldquo;Metrology for aerosol optical properties&rdquo; which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Elastic Strain Associated with Irradiation-Induced Defects in Self-ion Irradiated Tungsten

<p>Elastic interactions play an important role in controlling irradiation damage evolution, but remain largely unexplored experimentally. Using transmission electron microscopy (TEM) and high-resolution on-axis transmission Kikuchi diffraction (HR-TKD), we correlate the evolution of irradiation-induced damage structures and the associated lattice strains in self-ion irradiated pure tungsten. TEM reveals different dislocation loop structures as a function of sample thickness, suggesting that free surfaces limit the formation of extended defect structures that are found in thicker samples. HR-TKD strain analysis shows the formation of crystallographically-orientated long-range strain fluctuation above 0.01 dpa and a decrease of total elastic energy above 0.1 dpa.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Level 2 spectra of the 290 - 500 nm solar irradiance measured at Aosta - Saint Christophe by the Bentham DTMc300 with serial number 5541 in 2006 - 2019

<p>The provided dataset includes the Level 2 spectral measurements (in Watt/m<sup>2</sup>) of the solar irradiance in the range 290 - 500 nm, performed by the Bentham DTMc300 spectroradiometer with serial number 5541. The particular instrument performs automated&nbsp;continuous, high quality&nbsp;&nbsp;measurements at Aosta - Saint Christophe, Italy&nbsp;(45.7&deg; N, 7.4&deg; E, 570 m a.s.l.) since 2006. The Level 2 spectra are re-evaluated and homogenized&nbsp;and are currently available for the period 24 July 2006 - 8 July 2019. Each file contains the spectra for one day. The time (in UTC) for the measurements at 290, 400, and 500 nm is also provided for each spectral scan.</p>

opencc-by-4.0Apr 2020View details →
zenodo36/100

Atom probe characterisation of segregation driven Cu and Mn–Ni–Si co-precipitation in neutron irradiated T91 tempered-martensitic steel - data

<p>Data for &#39;Atom probe characterisation of segregation driven Cu and Mn&ndash;Ni&ndash;Si co-precipitation in neutron irradiated T91 tempered-martensitic steel&#39; paper (<a href="https://doi.org/10.1016/j.mtla.2020.100946">https://doi.org/10.1016/j.mtla.2020.100946</a>)&nbsp;</p>

opencc-by-4.0Nov 2020View details →
dryad36/100

Girasol, a sky imaging and global solar irradiance dataset

<p>The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar irradiance provides the MG with the capability of automatically controlling the dispatch of energy. We propose to achieve this using a data acquisition systems (DAQ) that simultaneously records sky imaging and Global Solar Irradiance (GSI) measurements, with the objective of extracting features from clouds and use them to forecast the power produced by a Photovoltaic (PV) system. The DAQ system is nicknamed as the <em>Girasol Machine</em> (Girasol means Sunflower in Spanish). The sky imaging system consists of a longwave infrared (IR) camera and a visible (VI) light camera with a fisheye lens attached to it. The cameras are installed inside a weatherproof enclosure that it is mounted on an outdoor tracker. The tracker updates its pan an tilt every second using a solar position algorithm to maintain the Sun in the center of the IR and VI images. A pyranometer is situated on a horizontal support next to the DAQ system to measure GSI. The dataset, composed of IR images, VI images, GSI measurements, and the Sun's positions, has been tagged with timestamps.</p>

opencc-zeroDec 2020View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record