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zenodo40/100

e-shape P5.6 EO based phytoplankton biomass for WFD reporting - samples of Chl-a and WFD classes maps of lakes Lauwersmeer and Saadjärv

<p>The current data set is a sample of the data generated within the e-shape pilot 5.6 called &quot;EO based phytoplankton biomass for WFD reporting&quot; and consists of maps based on earth observation (EO) data from the Sentinel 2 satellite. There is a set of chlorophyll-a (Chl-a) maps, and a set maps of WFD ecological status of phytoplankton biomass, derived from the Chl-a maps by applying local WFD phytoplankton biomass thresholds. These maps can complement the monitoring for the Water Framework Directive (WFD).<br> The lakes within this sample set are lakes Saadj&auml;rv (Estonia) and Lauwersmeer (the Netherlands).</p> <p>For more info please see the readme files which are provided with the data files.</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO (AJ-6-03-31 sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 3 minutes and 42 seconds.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-6-03-31 Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method after being covered with hydrogenated amorphous diamond-like carbon and silver nanocomposite. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7257252">https://doi.org/10.5281/zenodo.7257252</a></p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

IODP Expedition 352 Sample report

<p>Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.</p>

opencc-zeroSep 2015View details →
zenodo40/100

Fully Calculated Samples for Discrete Manufacturing Simulation Environment

<p>This dataset is a MySQL file and contains fully calculated samples for different baseline situations:</p> <p><br> &nbsp;</p> <table> <thead> <tr> <th>Env-Version</th> <th>ammountOfCarriers</th> <th>uncertainty</th> <th>onlyForTraining</th> <th>quantity</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>4</td> <td>1</td> <td>0</td> <td>10000</td> </tr> <tr> <td>1</td> <td>4</td> <td>1</td> <td>1</td> <td>90786</td> </tr> <tr> <td>1</td> <td>4</td> <td>3</td> <td>0</td> <td>10000</td> </tr> <tr> <td>1</td> <td>4</td> <td>3</td> <td>1</td> <td>92254</td> </tr> <tr> <td>1</td> <td>6</td> <td>1</td> <td>0</td> <td>20000</td> </tr> <tr> <td>1</td> <td>6</td> <td>1</td> <td>1</td> <td>210000</td> </tr> <tr> <td>1</td> <td>6</td> <td>3</td> <td>0</td> <td>20000</td> </tr> <tr> <td>1</td> <td>6</td> <td>3</td> <td>1</td> <td>214000</td> </tr> <tr> <td>1</td> <td>7</td> <td>3</td> <td>1</td> <td>30000</td> </tr> <tr> <td>1</td> <td>8</td> <td>3</td> <td>1</td> <td>34188</td> </tr> <tr> <td>1</td> <td>9</td> <td>3</td> <td>1</td> <td>30000</td> </tr> <tr> <td>1</td> <td>10</td> <td>3</td> <td>1</td> <td>34000</td> </tr> <tr> <td>1</td> <td>12</td> <td>3</td> <td>1</td> <td>3272</td> </tr> <tr> <td>2</td> <td>4</td> <td>1</td> <td>0</td> <td>10000</td> </tr> <tr> <td>2</td> <td>4</td> <td>1</td> <td>1</td> <td>94791</td> </tr> <tr> <td>2</td> <td>4</td> <td>3</td> <td>0</td> <td>10000</td> </tr> <tr> <td>2</td> <td>4</td> <td>3</td> <td>1</td> <td>100000</td> </tr> <tr> <td>2</td> <td>6</td> <td>1</td> <td>0</td> <td>10000</td> </tr> <tr> <td>2</td> <td>6</td> <td>1</td> <td>1</td> <td>90423</td> </tr> <tr> <td>2</td> <td>6</td> <td>3</td> <td>0</td> <td>10000</td> </tr> <tr> <td>2</td> <td>6</td> <td>3</td> <td>1</td> <td>249154</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>How do you use the files?<br> You need a MySQL instance on your computer (e.g. via XAMPP). If you do not already have one, create a database there with the name: &quot;rlskipping&quot;. The command for this is:&nbsp;</p> <blockquote> <p>CREATE DATABASE IF NOT EXISTS&nbsp;rlskipping;</p> </blockquote> <p>On Windows:</p> <p>&nbsp;&nbsp; &nbsp;1) Open a new CMD-Shell.<br> &nbsp;&nbsp; &nbsp;2) Navigate to the path where the sql file is located.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: cd C:\Users\MrScience\Desktop\Work\myProject\Paper\SQL)<br> &nbsp;&nbsp; &nbsp;3) Import the Files.<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: mysql -u root -p rlskipping &lt; evaluierung.sql)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;(e.g.: mysql -u root -p rlskipping &lt; calculatedsamples.sql)</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

OpenDRIVE sample dataset of Test Bed Lower Saxony

<p>This OpenDRIVE dataset models a road network snippet of the motorway A39 near Wolfsburg. It is intended to be used for data evaluation. The data snippet is part of a greater dataset which has been acquired in the context of the project <a href="http://verkehrsforschung.dlr.de/en/projects/test-bed-lower-saxony-automated-and-connected-mobility">Test Bed Lower Saxony</a>. Main application scopes of this OpenDRIVE data are driving simulation, verification and validation. The raw data has been surveyed through mobile mapping end of 2019.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO (AJ-7-03-31 sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 35 seconds.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-7-03-31 Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method after being covered with hydrogenated amorphous diamond-like carbon and silver nanocomposite. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7257907">https://doi.org/10.5281/zenodo.7257907</a></p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Tracking the photomineralization mechanism in irradiated lab-generated and field-collected brown carbon samples and its effect on cloud condensation nuclei abilities

<p>Data set of the data presented in figures and tables in our manuscript on the photomineralization of brown carbon samples: ammonium sulfate-methylglyoxal solutions, Suwannee River fulvic acid isolates, firewood smoke and ambient aerosols from Padua, Italy.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO (AJ-8-03-31 sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 5 minutes and 4 seconds.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-8-03-31 Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method after being covered with hydrogenated amorphous diamond-like carbon and silver nanocomposite. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7260186">https://doi.org/10.5281/zenodo.7260186</a></p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO:Au (AJ-2-04-20-Au sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide covered with gold nanoparticles (PAAO:Au). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 3 minutes and 37 seconds. Then it was dip-coated in 60 nm diameter gold nanoparticles suspension. Extraction speed was 500 nm/s.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-2-04-20-Au Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.5718202</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO:Au (AJ-1-04-20-Au sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide covered with gold nanoparticles (PAAO:Au). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 3 minutes and 16 seconds. Then it was dip-coated in 60 nm diameter gold nanoparticles suspension. Extraction speed was 500 nm/s.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-1-04-20-Au Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.5718025</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

IODP Expedition 351 Sample report

<p>Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.</p>

opencc-zeroAug 2015View details →
zenodo40/100

Natrolite - Sample 2 NanED Round Robin, Data: ESR4 & ESR5

<p><em><strong>Natrolite</strong></em></p> <p>The following submission contains the data collection and processing of datasets for the sample natrolite under the NanEd round-robin project.&nbsp; A single crystal was identified, and continuous rotation and precession data acquisition techniques were used to collect datasets on the same crystal.&nbsp; All the data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder.</p> <p><strong>Continuous rotation</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR4 &amp; ESR5 - Round Robin</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>RR1</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>RR1-S2_PRAHA</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>RR1-S2_PRAHA-CROT</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td> <p>Instrument</p> </td> <td>Transmission electron microscope FEI Tecnai G2 20</td> </tr> <tr> <td> <p>Radiation source</p> </td> <td>LaB6</td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td>200 kV</td> </tr> <tr> <td> <p>Wavelength</p> </td> <td>0.0251 &Aring;</td> </tr> <tr> <td> <p>Probe Type</p> </td> <td>Microdiffraction</td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td>900nm</td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td>Parallel beam, convergence &lt;0.1mrad</td> </tr> <tr> <td> <p>Detector</p> </td> <td>Hybrid pixel detector ASI Cheetah (side mounted)</td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td>512 x 512</td> </tr> <tr> <td> <p>Pixel size</p> </td> <td>55 &micro;m x 55 &micro;m</td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td>1000 mm</td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td>0.008259 &Aring;<sup>-1</sup>/pixel</td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td><strong>Sample description:</strong></td> <td>&nbsp;</td> </tr> <tr> <td> <p>Name</p> </td> <td>Natrolite</td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td>Na<sub>2</sub>Al<sub>2</sub>Si<sub>3</sub>O<sub>10</sub>.2H<sub>2</sub>O</td> </tr> <tr> <td> <p>Sample source</p> </td> <td>Natural sample from Marianska Skala, Usti nad Labem, Czechia</td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td>Powder crushed in an agate mortar and deposited on a Cu grid with holey C film</td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>Continuous Rotation</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td>95 K</td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td>1</td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>240</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-60&deg; to +60&deg;, 0.5&deg;, 0.5&deg;</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>482ms</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td> <p><strong>Software:&nbsp;</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>RATS software</p> </td> </tr> <tr> <td>Software used for processing&nbsp;</td> <td> <p>PETS2 (ver 2.2.20220701.0941)</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Hrushikesh Chintakindi (ESR4) &amp; Ashwin Suresh (ESR5)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td>&nbsp;</td> </tr> <tr> <td>Image folder</td> <td> <p>dpCROT : Folder containing images of the diffraction pattern from each frame.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td>Crystal_image.jpg : image of the crystal</td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td>S2_C5-crot-050_petsdata : Log files of PETS2 processing</td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td>S2_C5-crot-050.pts2:_input file for the program PETS2 used for processing&nbsp; the data</td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p>Notes:&nbsp;</p> <p>The software, RATS used for data collection is an in-house software developed in FZU, Praha.</p> <p>*Project Label &quot;RR1&quot; stands for Round Robin 1</p> <p>*Data set label &quot;RR1-S2_PRAHA-CROT&quot; stands for Round Robin 1 sample 2 from Praha, data collection method Continuous Rotation.</p> <p>*The additional files can be found in the folder:</p> <p>Continuous_rotation\Data_collection_processing</p> </td> </tr> </tbody> </table> <p><strong>Precession</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR4 &amp; ESR5 - Round Robin</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>RR1</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>RR1-S2_PRAHA</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>RR1-S2_PRAHA-PREC</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p>Transmission electron microscope FEI Tecnai G2 20</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>LaB6</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p>200 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p>0.0251 &Aring;</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p>Microdiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p>900nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p>Parallel beam, convergence &lt;0.1mrad</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Hybrid pixel detector ASI Cheetah (side mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p>512 x 512</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p>55 &micro;m x 55 &micro;m</p> </td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td> <p>1000 mm</p> </td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td> <p>0.008259 &Aring;<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p>Natrolite</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p>Na<sub>2</sub>Al<sub>2</sub>Si<sub>3</sub>O<sub>10</sub>.2H<sub>2</sub>O</p> </td> </tr> <tr> <td> <p>Sample source</p> </td> <td> <p>Natural sample from Marianska Skala, Usti nad Labem, Czechia</p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p>Powder crushed in an agate mortar and deposited on a Cu grid with holey C film</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>Precession</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p>95 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>121</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-60&deg; to +60&deg;, 1&deg;, 0&deg;</p> </td> </tr> <tr> <td> <p>Precession angle</p> </td> <td> <p>1&deg;</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>500ms</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>RATS software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p>PETS2 (ver 2.2.20220701.0941)</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Hrushikesh Chintakindi (ESR4) &amp; Ashwin Suresh (ESR5)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p>dp100 : Folder containing images of the diffraction pattern from each frames.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td> <p>Crystal_image : image of the crystal</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S2_C5_prec-100_petsdata : Log files of PETS2 processing</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S2_C5_prec-100.pts2 :_input file for the program PETS2 used for processing&nbsp; the data</p> </td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p><strong>Notes:</strong></p> <p>The software, RATS used for data collection is an in-house software developed in FZU, Praha.</p> <p>*Project Label &quot;RR1&quot; stands for Round Robin 1</p> <p>*Data set label &quot;RR1-S2_PRAHA-PREC&quot; stands for Round Robin 1 sample 2 from Praha, data collection method Precession.</p> <p>*The additional files can be found in the folder:</p> <p>Precession\Data_collection_processing</p> </td> </tr> </tbody> </table> <p>&nbsp;</p>

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Epidote - Sample 1 NanED Round Robin, Data: ESR4 & ESR5

<p><em><strong>Epidote</strong></em></p> <p>The following submission contains the data collection and processing of datasets for the sample epidote under the NanEd round-robin project.&nbsp; A single crystal was identified, and continuous rotation and precession data acquisition techniques were used to collect datasets on the same crystal.&nbsp;&nbsp;All the data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder.</p> <p><strong>Continuous Rotation:</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR4 &amp; ESR5 - Round Robin</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>RR1</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>RR1-S1_PISA</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>RR1-S1_PISA-CROT</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p>Transmission electron microscope FEI Tecnai G2 20</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>LaB6</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p>200 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p>0.0251 &Aring;</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p>Microdiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p>900nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p>Parallel beam, convergence &lt;0.1mrad</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Hybrid pixel detector ASI Cheetah (side mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p>512 x 512</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p>55 &micro;m x 55 &micro;m</p> </td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td> <p>1200 mm</p> </td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td> <p>0.006895 &Aring;<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p>Epidote</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p>Ca<sub>2</sub>Fe<sub>x</sub>Al<sub>3-x</sub>Si<sub>3</sub>O<sub>13</sub>H</p> </td> </tr> <tr> <td> <p>Sample source</p> </td> <td> <p>Natural source from Val d&#39;Ossola, Italy</p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p>Powder crushed in an agate mortar and deposited on a Cu grid with holey C film</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>Continuous Rotation</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p>293 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>240</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-60&deg; to +60&deg;, 0.5&deg;, 0.5&deg;</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>709ms</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>RATS software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p>PETS2 (ver 2.2.20220701.0941)</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Hrushikesh Chintakindi (ESR4) &amp; Ashwin Suresh (ESR5)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p>dpCROT : Folder containing images of the diffraction pattern from each frames.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td> <p>Crystal_image : image of the crystal</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S1_04c-crot-050_petsdata : Log files of PETS2 processing</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S1_04c-crot-050.pts2 :_input file for the program PETS2 used for processing&nbsp; the data</p> </td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p><strong>Notes:</strong></p> <p>The software, RATS used for data collection is an in-house software developed in FZU, Praha.</p> <p>*Project Label &quot;RR1&quot; stands for Round Robin 1</p> <p>*Data set label &quot;RR1-S1_PISA-CROT&quot; stands for Round Robin 1 sample 1 from Pisa,&nbsp; data collection method Continuous Rotation.</p> <p>*The additional files can be found in the folder:</p> <p>Continuous_rotation\Data_collection_processing</p> </td> </tr> </tbody> </table> <p>&nbsp;</p> <p><strong>Precession:</strong></p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p>ESR4 &amp; ESR5 - Round Robin</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p>RR1</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p>RR1-S1_PISA</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p>RR1-S1_PISA-PREC</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p>Transmission electron microscope FEI Tecnai G2 20</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>LaB6</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p>200 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p>0.0251 &Aring;</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p>Microdiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p>900nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p>Parallel beam, convergence &lt;0.1mrad</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Hybrid pixel detector ASI Cheetah (side mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p>512 x 512</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p>55 &micro;m x 55 &micro;m</p> </td> </tr> <tr> <td> <p>Effective camera length</p> </td> <td> <p>1200 mm</p> </td> </tr> <tr> <td> <p>Calibration constant</p> </td> <td> <p>0.006895 &Aring;<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p>Epidote</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p>Ca<sub>2</sub>Fe<sub>x</sub>Al<sub>3-x</sub>Si<sub>3</sub>O<sub>13</sub>H</p> </td> </tr> <tr> <td> <p>Sample source</p> </td> <td> <p>Natural source from Val d&#39;Ossola, Italy</p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p>Powder crushed in an agate mortar and deposited on a Cu grid with holey C film</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p>Precession</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p>293 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p>121</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p>-60&deg; to +60&deg;, 1&deg;, 0&deg;</p> </td> </tr> <tr> <td> <p>Precession angle</p> </td> <td> <p>1&deg;</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p>700ms</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p>RATS software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p>PETS2 (ver 2.2.20220701.0941)</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p>Hrushikesh Chintakindi (ESR4) &amp; Ashwin Suresh (ESR5)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p>&nbsp;</p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p>dp100 : Folder containing images of the diffraction pattern from each frames.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p>tiff_16bit</p> </td> </tr> <tr> <td> <p>Additional folders/files</p> </td> <td> <p>Crystal_image : image of the crystal</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S1_04p-100_petsdata : Log files of PETS2 processing</p> </td> </tr> <tr> <td> <p>&nbsp;</p> </td> <td> <p>S1_04p-100.pts2 : input file for the program PETS2 used for processing&nbsp; the data</p> </td> </tr> </tbody> </table> <table> <tbody> <tr> <td> <p><strong>Notes:</strong></p> <p>The software, RATS used for data collection is an in-house software developed in FZU, Praha.</p> <p>*Project Label &quot;RR1&quot; stands for Round Robin 1</p> <p>*Data set label &quot;RR1-S1_PISA-PREC&quot; stands for Round Robin 1 sample 1 from Pisa, data collection method Precession.</p> <p>*The additional files can be found in the folder:</p> <p>Precession\Data_collection_processing</p> </td> </tr> </tbody> </table>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Bayesian Samples and Data Behind Figures: Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I

<p>Auxiliary data associated with the article <a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.6145P/abstract">&quot;Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I: M 35, NGC 6819, NGC 188&quot; by Penev, K &amp; Schussler, J</a></p> <p>The type of data corresponds to a particular filename format. Bayesian samples are in HDF5 format, directly as saved by the <a href="https://emcee.readthedocs.io/en/stable/index.html">emcee</a> sampler (see <a href="https://emcee.readthedocs.io/en/stable/user/backends/">https://emcee.readthedocs.io/en/stable/user/backends/</a>). All other files are in AAS-journal style machine readable tables format generated by <a href="https://github.com/cds-astro/cds.pyreadme">cdspyreadme</a> python library.</p> <p>Description of contents by filename format:</p> <pre><code>&lt;CLUSTER&gt;_&lt;BINARY ID&gt;_.*.h5</code></pre> <p>Bayesian analysis samples constraining the tidal dissipation efficiency of the given binary. The values of the sampled system and tidal dissipation parameters are stored as blobs (<a href="https://emcee.readthedocs.io/en/stable/user/blobs/">https://emcee.readthedocs.io/en/stable/user/blobs/)</a></p> <pre><code>&lt;CLUSTER&gt;_&lt;BINARY ID&gt;_lgQ_period.mrt</code></pre> <p>The 2.3%, 15.9%, 84.1%, and 97.7% quantiles of <span class="math-tex">\(\log_{10}Q_\star'\)</span> for the given binary as a function of tidal period</p> <pre><code>&lt;CLUSTER&gt;_&lt;BINARY ID&gt;_burnin_period.mrt</code></pre> <p>The MCMC burn-in period before the 2.3%, 15.9%, 84.1%, and 97.7% quantiles of <span class="math-tex">\(\log_{10}Q_\star'\)</span> for the given binary are considered converged (see article text).</p> <pre><code>&lt;CLUSTER&gt;_&lt;BINARY ID&gt;_cdfstd_period.mrt</code></pre> <p>The standard deviation of the <span class="math-tex">\(CDF(\log_{10}Q_\star')\)</span> for the given binary as a function of tidal period for each of the quantiles. The maximum likelihood value is the target percentile, i.e. one of: 2.3%, 15.9%, 84.1%, and 97.7%</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Subset of 300 out of 3000 Prepared Sentinel 2 Scenes for Transfer Learning and Super-sampling.

<p>This dataset contains a random subset of 300 out of 3000 Sentinel 2 scenes prepared for Transfer Learning and Super-sampling. It comes in the form of zipped NumPy arrays in the npz format. The files have are named in the following fashion:</p> <p>latutide+latitude_decimals_longitude+longitude_decimals_month_of_the_year_for_mosaic.&nbsp;</p> <p>Each file contains:</p> <p>bands.npy: The Sentinel 2 bands in 10m resolution uint10: B02, B03, B04, B08, B05, B06, B07, B8A, B11, B12. The 20m bands have been resampled using bilinear resampling.</p> <p>nir.npy: B08 Resampled to 20m using average resampling and then resampled to 10m using bilinear. Useful for training super-sampling models.</p> <p>scl.npy: The Sentinel 2 Scene Classification file. Contains information on cloud cover and land cover.</p> <p>sincos.npy: Contains the latitude, longitude, and time of capture for each pixel encoded to sine and cosine waves in the [0,1] interval. The is useful when training a model to predict where on the globe an image was captured.</p> <p>The images can be processed to patches using the buteo toolbox:&nbsp;</p> <p>`pip install buteo --upgrade</p> <p>`import buteo as beo`</p> <p>`beo.get_patches(beo.raster_to_array(&quot;path_to_bands&quot;))`</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
dryad40/100

Diet composition based on stable isotopic analysis of fecal samples revealed the preference of Black-faced Spoonbill (Platalea minor) for natural wetlands and fishponds

<p><span>Background:</span><span> Black-faced spoonbill (BFS) is a global endangered species, distributed only in the coastal zones of East Asia. Xinghua Bay is one of the main wintering sites and migration stopovers of BFS in mainland China. However, </span><span>with the </span><span>reduction and degradation of natural wetlands, it is uncertain whether the constructed wetland can provide habitat for the endangered BFS. Research on diet of BFS will help to understand their preference between natural and artificial wetlands, and also provide reference for their conservation and habitat restoration. </span></p> <p><span>Results:</span><span> In the early winter, the proportion of Palaemonidae in BFS's food was as high as 74.4%, while that of other food was only 3.0% to 6.0%. In the late winter, the food contribution of BFS was as follow: Portunidae </span><span>39.3% </span><span>&gt; Palaemonidae </span><span>26.1% </span><span>&gt; Cyprinidae </span><span>8.8% </span><span>&gt;</span> <span>Mugilidae </span><span>8.5% </span><span>&gt; Gobiidae </span><span>7.3% </span><span>&gt;</span> <span>Crucian </span><span>5.1% </span><span>&gt; Whiteshrimp </span><span>4.8%</span><span>. The proportion of Portunidae exceeded that of Palaemonidae, and together with Palaemonidae, it has become the main food of BFS in late winter. </span></p> <p><span>Conclusion: </span><span>The diet composition of BFS between the early and late winter was significantly different, which may be due to seasonal changes in food resources. Natural wetlands are the main feeding grounds of BFS, but artificial wetlands also provide them with supplementary feeding grounds and resting places. Aquaculture ponds play an important ecological function in maintaining the overwintering population of BFS in Xinghua Bay.</span></p>

opencc-zeroSep 2022View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO:Au (AJ-3-04-20-Au sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide covered with gold nanoparticles (PAAO:Au). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 8 seconds. Then it was dip-coated in 60 nm diameter gold nanoparticles suspension. Extraction speed was 500 nm/s.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-3-04-20-Au Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.5718424</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick)

<p>This video is the fourth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick)</p> <p>Bio: <strong><a href="https://warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=1147">Dr Mark Elliott</a>&nbsp;</strong>Mark is an Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick (UoW). Mark&rsquo;s core research focuses on human movement and physiology analytics. His research uses signal processing and data science approaches to monitor, measure and model human movement and physiology to infer health status. He is the PI of the WMG Motion Capture Laboratory. His work further extends into the broader area of using wearable and on-the- body sensing devices to make objective measures of human behaviour and behaviour change. Much of Dr Elliott&rsquo;s research is highly applied and involves collaborating with commercial and NHS partners. He has received funding from EPSRC, Innovate UK and SBRI Healthcare, as well as direct industrial funding. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link:&nbsp;https://youtu.be/ChdbggScUgo</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO:Au (AJ-4-04-20-Au sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide covered with gold nanoparticles (PAAO:Au). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 30 seconds. Then it was dip-coated in 60 nm diameter gold nanoparticles suspension. Extraction speed was 500 nm/s.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-4-04-20-Au Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.5734486</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Spectroscopic ellipsometry mapping of PAAO:Au (AJ-5-04-27-Au sample)

<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide covered with gold nanoparticles (PAAO:Au). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 57 seconds. Then it was dip-coated in 60 nm diameter gold nanoparticles suspension. Extraction speed was 500 nm/s.</p> <p>The measurements were carried out at 20 &times; 20 locations covering all of the sample surface (approximately 4.8 &times; 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in &quot;mapping_points.csv&quot; file. All measurement data is also included in a single &quot;AJ-5-04-27-Au Ellipsometry Mapping Measurements.rar&quot; file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 50&deg;, 55&deg;, 60&deg;, 65&deg;, 70&deg;, 75&deg;.</p> <p>Light beam size: microspot (365 &times; 470 &mu;m<sup>2</sup> at 75&deg; angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.5734894</p>

opencc-by-4.0Dec 2021View details →

ScienceDex guides

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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

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