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1,445 results for “irradiation”
SBC LTER: Hourly photon irradiance at the surface and seafloor, ongoing since 2008
These data represent mean hourly values of photosynthetically active radiation (PAR) (in units of mol m-2 s-1) at five subtidal reefs and one coastal location off Santa Barbara, California. Sensors record instantaneous irradiance at one-minute or 30 second intervals, and data are averaged hourly. Sensors are mounted on the sea floor at five sites (Arroyo Quemado, Carpinteria, Naples Reef, Isla Vista, and Mohawk Reef). A surface sensor is deployed on an unobstructed coastal rooftop at the UC Santa Barbara campus; some historical observations are available from sensors mounted above the sea surface at a subset of the five sites.
Sky irradiance over photosynthetically active radiation wavelengths (400-700 nm) recorded shipboard during the Antarctic Circumnavigation Expedition (ACE) during the Austral Summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains high resolution records of sky irradiance over photosynthetically active radiation wavelengths (PAR; 400-700 nm) recorded shipboard during the Antarctic Circumnavigation Expedition (ACE) Leg 1-3. A hemispherical PAR sensor was fixed to the bow of the RV Akademik Tryoshnikov ship at approximately 2 metres height above the main deck and continuously recorded the irradiance over PAR wavelengths (400-700 nm) at 1 minute intervals from 21st December 2016 to the 16th March 2017. This data provides high resolution information on the diel cycle in sky irradiance and absolute sky irradiance over PAR wavelengths (400-700 nm) along the ship track of the ACE expedition.</p> <p><strong>Dataset contents</strong></p> <ul> <li>README.txt, metadata, text</li> <li>data_file_header.txt, metadata, text</li> <li>ace_par_20200526CURRSGCMR.csv, data file, comma-separated values</li> </ul>
Influence of long-term changes in solar irradiance forcing on the Southern Annular Mode
<p>This dataset accompanies Wright et al. (2022): Influence of long-term changes in solar irradiance forcing on the Southern Annular Mode, Climate of the Past.</p> <p>This dataset contains:</p> <ul> <li><strong>Solar constant experiments</strong>: monthly files for sea level pressure (psl), surface stress east (tax), surface stress north (tay), screen temperature (tsc), and temperature at X pressure (t[0-18]) for solar constant experiments, specifically <ul> <li>control</li> <li>S+1</li> <li>S+3</li> <li>S+7</li> <li>S+35</li> <li>S-3</li> <li>S-7</li> <li>S-15</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Transient experiments</strong>: sea level pressure (psl) and screen temperature (tsc) files covering 1-2000 CE using: <ul> <li>Steinhilber_x2 solar forcing (monthly files)</li> <li>Shapiro solar forcing (monthly files)</li> </ul> </li> </ul> <p>These transient experiments are run as an Orbital-Greenhouse gases-Solar forcing experiment, and complement Phipps et al. (2013) (https://zenodo.org/record/3908927)</p> <p> </p>
SBC LTER: Reef: Benthic Composition Experiment: hourly photon irradiance at the seafloor
Photosynthetically Active Radiation (PAR) sensors measure photosynthetic light levels in both water and air in micromoles of photons per meter squared per minute (μmol m-2 min-1). PAR light sensors are deployed on the seafloor at the center of each BCE plot across 5 sampling sites (Arroyo Quemado, Naples, Isla Vista, Mohawk, Carpentaria) along the Santa Barbara Coast and 2 sites at Santa Cruz Island (San Pedro Point, and Cavern Point). Sampling began December 2021 and is conducted seasonally every 3 months. An additional sensor is placed in air on the roof at the Marine Science Biotech building near Campus Point which acts as a calibration control when analyzing underwater light measurements. Data collected from these PAR sensors are used to model primary production by both giant kelp and understory algae in terms of light availability and to compare the differences between control and experimental plots cleared of giant kelp. Plot 1 represents the control plot with no giant kelp removal and plot 2 represents the kelp clearing plot where all giant kelp are removed. Additionally, understory algae are removed seasonally from half of the rock slates for both plots (Plot 1 rock plates #1-6 and Plot 2 rock plates #13-18). Continuous light data are contained in one table depicting seasonally collected light measurements across all sites and sampling periods.
A Missing Piece of the E-Region Puzzle: High-Resolution Photoionization Cross Sections and Solar Irradiances in Models
<p>Dataset corresponding to the associated publication, "A Missing Piece of the E-Region Puzzle: High-Resolution Photoionization Cross Sections and Solar Irradiances in Models." The dataset includes high-resolution photoionization and photoabsorption cross section for O and N<sub>2</sub> as well as high-resolution solar spectrum. Photoionization rates from model runs obtained from AURIC and the Meier photoionization code are also included. Please refer to the readme for information on the data structure.</p> <p><strong>***Please note that the paper is under review and has not been accepted yet.***</strong></p>
Solar spectral irradiance measurements above and in-canopy (SLOCS and CloudRoots Amazonia, 2022)
<p> </p> <p><strong>Shedding Light On CloudRoots</strong></p> <p>Solar spectral irradiance measurements made with the sensors produced within the Shedding Light On Cloud Shadows (SLOCS) project, deployed at the CloudRoots Amazonia 2022 campaign. </p> <p><strong>Dataset contents</strong></p> <ul> <li>Level 0 (raw): the raw data as it comes from the instruments</li> <li>Level 1 (L1): data in NetCDF format with metadata, quality control, homogenized factory calibration (counts bin-1 dt-1)</li> <li>Level 2 (L2): calibrated L1 data in W m-2 nm-1</li> <li>extras: this folder includes reference calibration spectra and data quality quicklooks</li> </ul> <p>Data is available at 1 Hz (resampled) and 10 Hz (native) resolution. 10 Hz resolution is compressed using NetCDF compression with gzip level 5 (uncompressed is 1.13 GB per date).</p> <p><strong>Data quality and uncertainty<br></strong></p> <p>Please note this dataset is in version 0.1.0, meaning you should use the dataset with caution. Not all unphysical data may have been flagged as such, and spectral calibration is an estimate based on a simple modelled spectrum. This modelled spectrum is a standard tropical atmosphere without aerosols, and is not run with observed profiles except an ERA5 estimate of total column water vapour. Please refer to 'extras' for technical validation of the spectral calibration method, and LibRadtran input/output files.</p> <p>A production (1.0) version will be released as soon data is fully validated.</p> <p>Lower-end uncertainty can be estimated by looking at the sensor to sensor spread at wavelength level during the calibration measurements. In the calibration phase, all sensors were co-located and homogenized at wavelength level. The 13:50 to 14:10 UTC time on August 7 is the reference frame for spectral calibration. </p> <p>Other sources of uncertainty are difficult to quantify due to measurements taking place in a very heteregeneous forest. These uncertainties relate primarily to the less-than-perfect placement of sensors on the towers in comparison to the reference calibration phase. </p> <p>Sensor 18 is only available in raw data or calibrated data. Precalibration (homogenizing) is not possible given its deviating spectral filter set compared to the others (sensor version 3b vs. 3a). </p> <p><strong>Technical information</strong></p> <ul> <li>The NetCDF files comply with CF1.7 where applicable.</li> <li>Metadata include sensor location (altitude relative to ground and sea level, lat, lon). </li> <li>Code for processing raw data to NetCDF available at <a href="../records/10159129">https://zenodo.org/records/10159129</a></li> <li>Calibration of raw sensor units to spectral irradiance is done using a reference clear-sky spectrum simulated with LibRadtran. Settings and output is included in "extras".</li> </ul> <p><strong>More information</strong></p> <ul> <li><a href="https://chiel.ghost.io/slocs">SLOCS project homepage</a></li> <li><a href="https://cloudroots.wur.nl/">CloudRoots project homepage</a></li> <li>2022 campaign reference paper is in preparation</li> <li>See 'related works' for the instrument reference paper </li> </ul>
Dataset for: The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy
<p><strong>This is the dataset used in the following publication: </strong></p> <p>R. Thomas, D. Lunt, M. D. Atkinson, J. Quinta da Fonseca, M. Preuss, F. Barton, J. O'Hanlon, and P. Frankel, "The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy," in <em>Zirconium in the Nuclear Industry: 19th International Symposium</em>, ed. A. Motta and S. Yagnik (West Conshohocken, PA: ASTM International, 2021), 233-261. <a href="https://doi.org/10.1520/STP162220190027">https://doi.org/10.1520/STP162220190027</a>.</p> <p><strong>Contained in this dataset are:</strong></p> <p>A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC, EBSD and image data for non-irradiated and 0.1 dpa proton irradiated Zircaloy-4 deformed to ~3% strain, along the rolling direction and transverse direction.</p> <p>Please use the 'develop' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/f6b5d6ec33db9a45089fada17026432645044d2f</p> <p><strong>Publication abstract:</strong></p> <p>In this study, deformation experiments together with high-resolution digital image correlation were used to quantify the effect of proton irradiation on strain localization in Zircaloy-4 loaded along the rolling and transverse directions. Significant increases in strain heterogeneity were measured in the irradiated material compared to the nonirradiated material. This was a result of confinement of slip to channels in the irradiated material, which contain high effective shear strain values, with almost no strain in the regions between channels. The active slip systems in the material were also determined by comparing experimental slip trace angles from high-resolution digital image correlation with theoretical slip trace angles determined using grain orientation from electron backscatter diffraction. An increased amount of pyramidal and wavy basal slip, as well as tension twinning, were observed in the sample loaded along the transverse direction, compared to the sample loaded along the rolling direction, due to crystallographic texture. No significant change in slip system activity was observed as a result of 0.1 dpa proton irradiation, despite the dramatic change in slip pattern. The findings provide further insight into the role of irradiation on deformation behavior and provide quantitative data on slip system activation, for as-received and irradiated Zircaloy-4, against which to validate models.</p>
Data from simulations done in Hydrolight calculating annular irradiances 2021-06-28
<p>This publication contains a dataset of 3024 simulations of irradiances and diffuse attenuation coefficients obtained and calculated with Hydolight software in CSV (.csv) and Python 3.8.0 DataFrame (.pkl) format.</p> <p>Each simulation has its condition of solar zenith angle, cloud coverage and water type (represented by the concentration of chlorophyll, mineral and CDOM absorption), at PAR band (400-700 nm wavelength) and several depths.</p> <p>On the one hand, this data shows the downwelling irradiances obtained by Hydrolight. On the other hand, it shows the annular irradiances and the downwelling and annular diffuse attenuation coefficients calculated from this data.</p> <p>Data contains the following variables:</p> <ul> <li>Ed (Wm<sup>-2</sup>)</li> <li>calculated_Ed (Wm<sup>-2</sup>)</li> <li>calculated_Ea_10 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_20 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_30 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_40 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_50 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_60 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_70 (Wm<sup>-2</sup>)</li> <li>calculated_Ea_80 (Wm<sup>-2</sup>)</li> <li>calculated_Kd (m<sup>-1</sup>)</li> <li>calculated_Ka_10 (m<sup>-1</sup>)</li> <li>calculated_Ka_20 (m<sup>-1</sup>)</li> <li>calculated_Ka_30 (m<sup>-1</sup>)</li> <li>calculated_Ka_40 (m<sup>-1</sup>)</li> <li>calculated_Ka_50 (m<sup>-1</sup>)</li> <li>calculated_Ka_60 (m<sup>-1</sup>)</li> <li>calculated_Ka_70 (m<sup>-1</sup>)</li> <li>calculated_Ka_80 (m<sup>-1</sup>)</li> </ul> <p>Data contains the following index:</p> <ul> <li>wavelength: "PAR" band (400-700 nm)</li> <li>depth: 0.2, 0.5, 1.0, 1.5, 5.0 and 10.0 m.</li> <li>SZA (solar zenith angle): 0, 10, 20, 30, 40, 50, 60, 70 and 80 degrees</li> <li>cloud: 0, 20, 40, 60, 80 and 100 %</li> <li>num: from 0 to 3023</li> <li>water_type: ultra clear, very clear, clear, moderate, turbid, very turbid and brown</li> <li>chl: from 0 to 67.6 mg m<sup>-3</sup></li> <li>cdom: from 0 to 22.5 absoption 380 m<sup>-1</sup></li> <li>mineral: from 0 to 38.7 g m<sup>-3</sup></li> </ul>
Temperature logger deployment methods and irradiance-biased temperature data, King Abdullah University of Science and Technology, Red Sea, 2023.
Solar irradiance can offset the temperature recorded by underwater sensing instruments (aka "loggers"). We collected temperature and PAR (photosynthetic active radiation) data during two short-term in situ deployments on a shallow fringing reef adjacent to the King Abdullah University of Science and Technology (KAUST) in the Red Sea. The first deployment quantified the measurement bias due to solar heating over five days in February 2023 while the second compared the effect of different shading methods on logger performance over 24 hours in June 2023. We also recorded temperature in a controlled calibration bath in the lab with ten of the most widely used loggers to further assess their accuracy, response time, and intra-logger variation. Finally, to understand current practices of measuring temperature on coral reefs, we summarized logger deployment method details from a literature review of coral reef studies published from 2013 to 2022. Such details included how often loggers recorded the temperature, the depth where loggers were deployed, and whether the authors reported shading or protecting their loggers. This data package is complete and part of a larger project that aims to develop an instrument deployment framework for restoration-based reef monitoring, which includes instrument recommendations and deployment guidelines.
MeV SIMS analysis of irradiation effects on molecular signatures
<p>Characterizing the effect of MeV ion beam irradiation on biological tissues is important for proton beam therapy, which is routinely used as a form of cancer treatment. It is also important for optimizing protocols for multimodal elemental and molecular imaging. Elemental mapping of trace elements in tissues has been carried out for a long time using nuclear microprobe analysis. However, the effect of MeV ion beams on biological samples is largely unexplored. These effects have been explored in Surrey using two mass spectrometry imaging (MSI) techniques – matrix-assisted laser desorption electrospray (MALDI) and desorption electrospray ionization (DESI). The combination of these techniques with ion beam analysis (IBA) presents a few challenges, namely substrate compatibility and de-localization of elemental markers during measurements. As such, MeV-secondary ion mass spectrometry (SIMS) is being explored as an alternative technique for molecular imaging of biological tissues. MeV SIMS, unlike conventional keV SIMS, allows the detection of intact molecules, making it a prime candidate for the molecular analysis of biological samples. This presents an opportunity to benchmark the capabilities of MeV SIMS against established and widely used techniques such as DESI and MALDI. Experiments carried out at Surrey (reported at the ICNMTA 2020) observed that proton beam-induced damage could be mitigated through the application of a MALDI matrix (employed in MALDI as an ionization aid and sample protection). Thus, the role of this matrix is explored in MeV SIMS experiments.</p>
(dataset) Interactions of irradiation defects with nitrogen in α-Fe: an integrated experimental and theoretical study
<p>This dataset contains data , simulations and plot scripts in support of the manuscript "<em>Interactions of irradiation defects with nitrogen in <span class="math-tex">\(\alpha\)</span>-Fe: an integrated experimental and theoretical study</em>"</p>
Combined proton radiography and irradiation for high-precision preclinical studies in small animals
<p>Data used for the publication "Combined proton radiography and irradiation for high-precision preclinical studies in small animals".</p> <p>The repository contains all data that was used to generate the quantitative results and figures in the submitted manuscript.</p> <p>Further documentation for the provided code can be found here: https://github.com/jo-mueller/radiographic_workflow_evaluation</p>
Spectral irradiance at Lammi Biological Station Research Forest 2015: for assessing scale-wise similarity of curves with a thick pen
<p>This dataset contains records of the solar spectral energy irradiance (W m<sup>-2</sup> nm<sup>-1</sup>) in the understorey of forest stands at Lammi Biological Station, southern Finland (61◦ 3.24’ N, 25◦ 118 2.23’ E) during the spring of 2015. These spectra allow the change in spectral energy irradiance to be followed through the period of canopy leaf flush. Records are the average of recorded spectra from four points recorded at 40-cm above the forest floor using a Maya 2000 Pro array spectrometer. Spectra were recorded from exactly the same location on three dates, 2015-04-25, 2015-05-22, and 2015-06-05, before, during and after leaf flush. Data were recorded from the understorey of a young Betula stand, an old Betula stand, an old mixed Betula stand, a Quercus stand, and a Picea stand, in three positions: shade, semi-shade from leaves, and full sun in a sunfleck. On each occasion control measurements of spectral energy irradiance in full sun of an open field were also recorded at the beginning, middle and end of each measurement period. All measurements were made during the 2 hours either side of solar noon, on clear-sky days. Details of the sampling method and interpretation are given in the paper, Hartikainen et al., (2018) in Ecology and Evolution, which showcases the use of Thick Pen Transform to compare spectra.</p>
Effect of Low Irradiance on Seagrass from Rødsand lagoon (DK)
<p>This dataset provides the raw and postprocessed data from laboratory experiments investigating the effect of reduced light irradiance on the health status and biomechanical properties of seagrass species Zostera marina collected in Rødsand lagoon (DK). The experiments were conducted as part of Hydralab+ and were completed at Loughborough University. Plants used in experiments were supplied by DHI.</p> <p>During experiments seagrass health status was monitored with a chlorophyll fluorometer. The morphological properties of seagrass blades were measured using rulers, Vernier scales and a scale, and their flexural rigidity was measured via cantilever tests.</p>
Electron-spin decoherence in trityl radicals in the absence and presence of microwave irradiation
<p>Experimental data sets on bare-spin and dressed-spin decoherence of some trityl radicals, DFT-predicted hyperfine couplings and atom coordinates, simulation scripts, and simulated data. </p>
HydroLight configuration files of annular irradiances dataset 2021-08-02
<p>This publication contains the configuration files of the HydroLight software (5.2) in ASCII text file format (.txt) related to <a href="https://doi.org/10.5281/zenodo.5041192">this</a> publication.</p> <p>Each file corresponds to the input file (the Iroot.txt file for the run) which is found in the HE5\run\batch directory.</p> <p>The input file format is described in detail in Appendix A of the HE52 Technical Documentation: https://www.sequoiasci.com/wp-content/uploads/2013/07/HE52TechDoc.pdf.</p> <p>The 3024 configurations are described in the following lists:</p> <p> </p> <p><strong>Configuration</strong></p> <p><strong>Name Value Step</strong></p> <p>Wavelength 400 nm to 700 nm 5 nm</p> <p>Solar zenith angle 0° to 80° 10°</p> <p>Cloud coverage 0% to 100% 20%</p> <p>Chl 0 mgm<sup>-3</sup> to 67 mgm<sup>-3</sup> (*)</p> <p>CDOM af(380) 0 m<sup>-1</sup> to 22.5 m<sup>-1</sup> (*)</p> <p>Mineral 0 gm<sup>-3</sup> to 38.7 gm<sup>-3</sup> (*)</p> <p>Wind speed 0</p> <p>Bottom Infinitely deep</p> <p> </p> <p>(*) Described in table 1 of this paper: (to edit)</p> <p><strong>Depth resolution configuration</strong></p> <p><strong>Value Step</strong></p> <p>2 cm to 50 cm 2 cm</p> <p>50 cm to 2 m 5 cm</p> <p>2 m to 3 m 10 cm</p> <p>3 m to 4 m 20 cm</p> <p>4 m to 10 m 50 cm</p> <p>10 m to 15 m 1 m</p> <p>15 m to 20 m 5 m</p>
Nanobeam electron diffraction dataset from ion irradiated DIN 1.4970 austenitic stainless steel with G-phase precipitates collected on pixelated TVIPS detector
<p><strong>Summary</strong></p> <p>This is a 4D scanning transmission electron microscopy (4D STEM) dataset collected in near-parallel beam mode (NBED) from a sample of ion irradiated austenitic (FCC) stainless steel of the DIN 1.4970 specification, collected on a high quality pixelated detector inside a transmission electron microscope (TEM). The dataset is represented by a 4D array, comprising a 2D grid of scan points, with each scan point mapping to an electron diffraction spot pattern. From this kind of dataset it is possible to derive local crystal orientations and strains. The dataset is in the .hspy format, the native hdf5 format of the <a href="https://zenodo.org/record/5082777">HyperSpy</a> library.</p> <p>The main features in this dataset are:</p> <ul> <li>a single crystal of the matrix is sampled, close to a 110 zone axis</li> <li>inside the matrix, irradiation induced G-phase precipitates of 10-20 nm in size can be found which contribute weakly to some of the diffraction patterns. From these patterns it is possible to derive the orientation relationship of the precipitates with respect to the matrix.</li> <li>irradiation also resulted in the formation of faulted frank loops, which also show up in some diffraction patterns.</li> </ul> <p><strong>Material and sample preparation</strong></p> <p>The sample was prepared from DIN 1.4970 steel (composition by weight: 15% Ni, 15% Cr, 1.8% Mn, 1.2% Mo, 0.5% Ti, 0.5% Si, 0.1% C, Fe Bal.) with the intended application of nuclear fuel cladding material. The material was originally in the shape of thin walled tubes and cold worked to 24% (measured by cross sectional area reduction). The material was aged for 2 hours at 800 °C. It was then irradiated to 40 dpa surface damage as calculated using the SRIM program and the Kinchin and Pease model with displacement energy of 40 eV, using 4.5 MeV Fe<sup>2+</sup> ions with a flux of arround 9x10<sup>11</sup> ions.s<sup>-1</sup>.cm<sup>-2</sup>. The irradiation was performed at 600 °C. Full details on the material, irradiation conditions, and context can be found in:</p> <p>Cautaerts, N., Delville, R., Stergar, E., Pakarinen, J., Verwerft, M., Yang, Y., Hofer, C., Schnitzer, R., Lamm, S., Felfer, P., & Schryvers, D. (2020). The role of Ti and TiC nanoprecipitates in radiation resistant austenitic steel : A nanoscale study. <em>Acta Materialia</em>, <em>197</em>, 184–197. https://doi.org/10.1016/j.actamat.2020.07.022</p> <p>A TEM sample was prepared by regular focused ion beam (FIB) lift-out techniques in a Ga-ion FIB. Additional details on the dataset can be found in the paper and supplementary materials of</p> <p>Cautaerts, N., Rauch, E. F., Jeong, J., Dehm, G., & Liebscher, C. H. (2021). Investigation of the orientation relationship between nano-sized G-phase precipitates and austenite with scanning nano-beam electron diffraction using a pixelated detector. <em>Scripta Materialia</em>, <em>201</em>, 113930. https://doi.org/10.1016/j.scriptamat.2021.113930</p> <p><strong>Microscopy parameters and data collection</strong></p> <p>NBED was performed in a JEM-2200FS TEM (JEOL) operating at 200 kV. The microscope was operated in nanobeam diffraction mode with the smallest spot size (Spot 5). The probe diameter was ~ 1 nm with a semi-convergence angle of ~0.5 mrad. Data was collected on a TemCam-XF416 pixelated CMOS detector (TVIPS). The camera length as indicated in the operating software was 80 cm, and collected images were 1024 by 1024 in size (hardware binning of 4). The dataset comprises 260x200 scan points and pixel depth is 2 bytes (unsigned 16 bit integers).</p> <p><strong>Data processing</strong></p> <p>The raw data was collected in the .tvips format. The original dataset was about 50 GB in size and can be shared upon request to the author. This dataset was converted to the .hspy format using the <a href="https://zenodo.org/record/4288857">TVIPSconverter</a> tool. In the conversion, the images were binned by an additional factor of 4 to a final size of 256x256. A median filter was also applied to the data to remove pixel noise.</p> <p><strong>Data characteristics</strong></p> <p>Scan shape: 260 x 200 pixels</p> <p>Image shape: 256 x 256 pixels</p> <p>Pixel dtype: uint16</p> <p>Scan pixel size: about 1 nm, scan dimensions were never calibrated</p> <p>Image pixel size: 0.01261 Angstrom<sup>-1</sup> / pixel</p> <p>Note that scale factors are not stored in the dataset! The dataset can be read with HyperSpy using the load function (please see the HyperSpy documentation) and the pixel scale can be set through the axes manager. It is highly recommended to have a working installation of <a href="https://zenodo.org/record/5075520">Pyxem</a> as well to process the data.</p> <p><strong>Additional notes</strong></p> <p>Data was collected with the TVIPS scan generator which can be quite buggy. The scan lines show "jitters" due to the unstable snake-scan pattern, hysteresis and instability.</p>
CAELUS: Classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds
<p>CAELUS, a novel classification algorithm that relies on various thresholds to separate all possible sky conditions into six classes, is presented in Ruiz-Arias and Gueymard (2023, doi: <a href="https://doi.org/10.1016/j.solener.2023.111895">10.1016/j.solener.2023.111895</a>).</p> <p>This dataset was used to develop, validate and benchmark CAELUS. It is made up by 1-min quality-assured observations of global horizontal irradiance (GHI) and diffuse horizontal irradiance at 54 stations of the Baseline Surface Radiation Network (BSRN) archive, which is publicly available (see download instructions in https://bsrn.awi.de/data). The dataset includes 5 years of data per station, except in two of them (Petrolina, Brazil, and Solar Village, Saudi Arabia), combined with other variables that are required to run CAELUS, namely: solar zenith angle (sza), extraterrestrial horizontal solar irradiance (eth), clear-sky GHI (ghics) and GHI in a clean and dry atmosphere (ghicda). In addition, the dataset also provides the sky classification obtained with CAELUS.</p> <p>Further details about CAELUS and the dataset compilation is available in Ruiz-Arias and Gueymard (2023, doi: <a href="https://doi.org/10.1016/j.solener.2023.111895">10.1016/j.solener.2023.111895</a>). A Python implementation of CAELUS is available in https://github.com/jararias/caelus.</p>
Sediment primary productivity, respiration and productivity by irradiance curves from lakes near Toolik Field Station 2009 - 2010
Dataset includes rates of benthic gross primary productivity (GPP) in mmol O2/m2/d by irrandiance (I) in uE/m2/s curves and benthic respiration rates in mmol/m2/d from lakes E-5, E-6, Toolik, Fog Lake 2, Horn, Perched and Luna during the summer of 2009-2010.
Atom probe tomography data collection from DIN 1.4970 (15-15Ti) austenitic stainless steel irradiated with Fe ions
<p>This dataset comprises a large collection of atom probe tomography datasets collected from DIN 1.4970 alloy that was irradiated with Fe ions at different conditions. The DIN 1.4970 alloy is an austenitic stainless steel with 15 wt% Cr, 15 wt% Ni, a small addition of Ti. The full composition and characterization of our material can be found published elsewhere [1,2].</p> <p>Some of our material was subjected to ageing heat treatments at different temperatures for different times. Small samples of our original material and aged material was irradiated at the Michigan Ion Beam Laboratory in 2017 with 4.5 MeV Fe ions up to 40 dpa at an average dose rate of <span class="math-tex">\(2 \times 10^{-4}\)</span> dpa/s. This was done at three different temperatures: 300, 450, and 600 ºC. Atom probe samples were made of the irradiated layers (approximately 1.5 micron deep) with focused ion beam and mounted on Microtip coupons. APT measurements took place on three CAMECA LEAP-HR systems located at CAES in Idaho Falls, USA (files beginning with R33), at Montanuniversität Leoben in Leoben, Austria (R21) and at Friedrich–Alexander University in Erlangen, Germany (R56).</p> <p>The contents of this archive are:</p> <ul> <li>A folder containing the raw RHIT files</li> <li>A folder containing all the reconstructions and miscelaneous analysis files made by the author</li> <li>An excel file which indicates which measurement number stands for what material</li> <li>A suggested range file</li> </ul> <p>The RHIT files can only be used if one has access to the full IVAS 3.x version in order to make new reconstructions.</p> <p>The reconstructions and analysis folder can be useful to anyone. The folder buildup structure is similar to a project folder created by IVAS and should be directly importable into IVAS. Most folders are simply named after the RHIT file they were constructed from, though some have slightly modified names to include date of creation, extra information,... Inside all these folders you will find the recons folder and inside multiple reconstructions. At the deepest level you will find .pos files which can be read into free software such as python or <a href="http://threedepict.sourceforge.net/">3depict</a>. The range file that will give decent results on all these measurements is given at the top level; slight modifications may need to be applied for each measurement. Inside all folders you will also find numerous files (csv, png, jpg, ...) that were created by analyzing the data in IVAS. Sometimes the file names are very descriptive, sometimes less so. Sometimes these files were not saved to the default analysis folder but elsewhere on my drive. To be complete, I have moved all of these files into the top level folder. Therefore, besides the imagoAnalysis and recons folders, you will sometimes find additional folders and files in the folder. By different merging procedures, there may be multiple copies of the same files present as well. Unfortunately, the reconstructions and analysis folder is rather chaotic, as is the nature of file creation by IVAS.</p> <p>It is most instructive to start with the excel file at the top level of the archive. The first sheet contains some information, mostly the same as mentioned here. The second sheet pertains to the ion irradiations that were performed. The table colunms are self explanatory. Each irradiated sample was given a particular alias (first column), which relates it to the slot in the storage box in which it is stored. 5 different materials appear in the irradiations:</p> <ul> <li>T24 = tube, 24% cold worked. This represents the material as it was received from the manufacturer.</li> <li>T24-800C2h = the as-received material with an ageing heat treatment of 2 hours for 800 ºC applied.</li> <li>T24-600C4h = the as-received material with an ageing heat treatment of 4 hours for 600 ºC applied.</li> <li>T24-600C2868h = the as-received material with an ageing heat treatment of 2868 hours for 600 ºC applied.</li> <li>T46 = tube 46% cold worked. This represents another material received from the manufacturer</li> <li>AIM1 = another related material with a higher P and Si content obtained from another research institute</li> </ul> <p>All these materials were irradiated under different conditions as given in the subsequent columns. The irradiation parameters were drawn directly from reports produced by the lab, but we suspect some typos slipped into the reports. We do know for certain that the samples were irradiated up to a surface dose of 40 dpa, at least according to a <a href="http://www.srim.org/">SRIM calculation</a> with the K-P model. Atom probe results only pertain to T24 and T24-800C2h. A few measurements were conducted on T24-600C4h material but this material was not irradiated.</p> <p>The last sheet gives an overview of all the APT measurements included in this archive. The first column pertains to the sample alias in sheet 2: the irradiated disc from which the samples were made. The sample detail column details the history of the sample for convenience: T24 - <heat treatment conditions> - <irradiation conditions>. When in doubt, one can look up the sample alias in sheet 2. The filename pertains to the APT measurement RHIT file. For the 3 measurements performed in Leoben, RHIT files are not included in this archive. Finally a few details such as approximate ion count and some comments are included for some measurements.</p> <p>Funding: This work was supported by ENGIE [contract number 2015-AC-007 e BSUEZ6900]; the U.S. Department of Energy, Office of Nuclear Energy under DOE Idaho Operations Office Contract DE-AC07- 051D14517 as part of a Nuclear Science User Facilities experiment; and by the MYRRHA program in development at SCK-CEN, Belgium. Funding of the Austrian BMVIT (846933) in the framework of the program "Production of the future" and the "BMVIT Professorship for Industry" is gratefully acknowledged.</p> <p> </p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0022311518300485">[1] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Tailoring the Ti-C Nanoprecipitate Population and Microstructure of Titanium Stabilized Austenitic Steels, J. Nucl. Mater. 507 (2018) 177–187. doi:10.1016/j.jnucmat.2018.04.041.</a></p> <p> </p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1359645418308103">[2] N. Cautaerts, R. Delville, E. Stergar, D. Schryvers, M. Verwerft, Characterization of (Ti,Mo,Cr)C Nanoprecipitates in an Austenitic Stainless Steel on the Atomic Scale, Acta Mater. 164 (2018) 90–98. doi:10.1016/J.ACTAMAT.2018.10.018.</a></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
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