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1,819 results for “experimental data”

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zenodo48/100

Experimental data of dissipative embedded column base connections tested under cyclic lateral loading

<p>This experimental dataset is comprised of the following items:</p> <p>(a) the deduced experimental data of conventional/dissipative embedded column base connection specimens, which contains base moment, column drift ratio, and axial shortening responses (TestData.xlsx);</p> <p>(b) photos of&nbsp;each specimen taken during cyclic loading (C-N-0_Test_Photos.7z, D-M1-1_Test_Photos.7z, D-M1-3_Test_Photos.7z, D-M1-5_Test_Photos.7z, D-M2-2_Test_Photos.7z);</p> <p>(c) characteristic videos for each specimen that demonstrate the cyclic behavior (Test_Video.7z);</p> <p>(d) Digital image correlation (DIC) images taken during&nbsp;cyclic loading to obtain strain fields near the steel column/reinforced concrete foundation interface (C-N-0_DIC_Photos.7z, D-M1-1_DIC_Photos.7z, D-M1-3_DIC_Photos.7z, D-M1-5_DIC_Photos.7z, D-M2-2_DIC_Photos.7z);&nbsp;</p> <p>(e) Videos that demonstrate strain fields of column flanges of both conventional and dissipative embedded column base connection specimens (DIC_Video.7z)&nbsp;</p> <p>Please read the &quot;README&quot; file contained in each folder for more detailed information regarding each data.</p> <p>&nbsp;</p>

opencc-by-2.0Jul 2021View details →
zenodo48/100

Data: An experimental sound exposure study at sea: No spatial deterrence of free-ranging pelagic fish

<p>Data abstract:</p> <p>All data and scripts to replicate all plots and statistical results of the paper mentioned below. The data are sound recordings and processed echosounder data (raw echosounder data is available on request but &gt; 100 GB in size and require specialized software).</p> <p>&nbsp;</p> <p>Paper reference:</p> <p>Jeroen Hubert<span>,&nbsp;</span>Jozefien M. Demuynck<span>,&nbsp;</span>M. Rafa Remmelzwaal<span>,&nbsp;</span>Carlota Mu&ntilde;iz<span>,&nbsp;</span>Elisabeth Debusschere<span>,&nbsp;</span>Benoit Berges<span>,&nbsp;</span>Hans Slabbekoorn; An experimental sound exposure study at sea: No spatial deterrence of free-ranging pelagic fish.&nbsp;<em>J. Acoust. Soc. Am.</em>&nbsp;1 February 2024; 155 (2): 1151&ndash;1161.&nbsp;<a href="https://doi.org/10.1121/10.0024720" target="_blank" rel="noopener">https://doi.org/10.1121/10.0024720</a></p> <p>&nbsp;</p> <p>Paper abstract:</p> <p>Acoustic deterrent devices are used to guide aquatic animals from danger or toward migration paths. At sea,&nbsp;moderate sounds can potentially be used to deter fish to prevent injury or death due to acoustic overexposure. In&nbsp;sound exposure studies, acoustic features can be compared to improve deterrence efficacy. In this study, we played&nbsp;200&ndash;1600 Hz pulse trains from a drifting vessel and investigated changes in pelagic fish abundance and behavior by&nbsp;utilizing echosounders and hydrophones mounted to a transect of bottom-moored frames. We monitored fish presence and tracked individual fish. This revealed no changes in fish abundance or behavior, including swimming speed&nbsp;and direction of individuals, in response to the sound exposure. We did find significant changes in swimming depth&nbsp;of individually tracked fish, but this could not be linked to the sound exposures. Overall, the results clearly show that&nbsp;pelagic fish did not flee from the current sound exposures, and we found no clear changes in behavior due to the&nbsp;sound exposure. We cannot rule out that different sounds at higher levels elicit a deterrence response; however, it&nbsp;may be that pelagic fish are just more likely to respond to sound with (short-lasting) changes in school formation.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo48/100

Experimental data and software for: Defaults: a double-edged sword in governing common resources

<p>Experimental data and software for the paper: <strong>Defaults: a double-edged sword in governing common resources</strong></p> <p>The experiment consisted in three treatments of the Common Pool Resource Dilemma, where three default interventions were applied: pro-social, self-serving and no default. Plus, the participants had to complete an SVO task and a Risk assessment task.</p> <h4>Description of the data and file structure</h4> <p>In the file called&nbsp;<code>all_participants.csv</code> is the full dataset of all participants that took part of the experiment. This includes participants who will end up excluded and dropouts.</p> <p>The experimental data files come in two formats: wide and long. The wide version, called&nbsp;<code>data_wide_format.csv</code>&nbsp;contains one row per participant and a column for all the fields, including rounds from 1 to 10 of the CPR task. Also, this file includes all demographic information of the participants, times and payments. The ID shown is generated internally and has no relationship with the participants' Prolific ID.</p> <p>The long version, called <code>data_long_format.csv</code>, contains 10 rows per participant, and columns for the extraction and other variables necessary for analysis. This version contains the necessary data to reproduce all the figures and statistics detailed in the main manuscript.</p> <p>In both of the previous files, the participants taken into account were the ones who completed the whole experiment. Those who did not complete the comprehension test, dropped out or did not sign the Informed Consent Form were excluded from the experimental data used. More details in the Methods below.</p> <p>In the file <code>default_opinions.csv</code>, we manually classified the responses by participants to whether they were influenced by the default presented.</p> <p>The file "<code>Instructions of the experiment.pdf</code>" contains the instructions of the experiment as shown to participants, also screenshots of the platform.</p>

opencc-by-4.0Mar 2024View details →
zenodo48/100

heat of hydrogenation for diverse organic compounds -- experimental and calculated data for 166 unique reactions

<h3>General remarks</h3> <p>The experimental data was drawn from reactions involving H2 that are available at&nbsp;<a href="https://webbook.nist.gov/cgi/cbook.cgi?Name=H2&amp;Units=SI&amp;cTR=on" target="_blank" rel="noopener">NIST</a> (accessed on 15/03/2024). Only reactions of type<strong><em> M + H2 =&gt; MH2</em></strong>, where M is a neutral, closed-shell organic molecule that accepts one equivalent of H2, were included in the collection. M corresponds to the oxidized form of the molecule ( =&gt; suffix '_ox'), MH2 to the reduced form (=&gt; suffix '_red'). For reasons of clarity, the references to original publications were abbreviated in the main table (look up in separate table).</p> <p>For the molecules involved, Smiles were manually assigned. From those, 3D structures were generated and evaluated in order to match the thermodynamic properties as accurately as possible (for details on the procedure refer to the related work, see below).</p> <p>In addition to the experimental uncertainty, a significant scatter is seen for replicate measurements.</p> <p><strong>Please note</strong>: To compute the heat of hydrogenation from the calculated data for M/MH2 the contribution of H2 needs to be considered, take e.g. -1.164816 hartree (Energy at 298.15K, calculated at CCSD(T)=FULL/aug-cc-pVDZ) from <a href="https://cccbdb.nist.gov/energy3x.asp?method=63&amp;basis=17&amp;charge=0" target="_blank" rel="noopener">CCCBDB</a> (accessed on 15/03/2024).</p> <h3>&nbsp;</h3> <h3>Description of files</h3> <p>The file <strong>01_heat_of_hydrogenation_XP+QM.csv</strong> contains experimentally measured and calculated data.</p> <ul> <li>columns are separated by "|"</li> <li>column names and explanations: <ul> <li><strong>NIST_idx</strong> -- index of original reaction, mostly unique. In a few cases, data of the reverse reaction were subsumed under a different index</li> <li><strong>env</strong> -- if available, information about the environment a reported reaction took place in, e.g. gas phase, hexane, etc...</li> <li><strong>method</strong> -- if available, reference about the experimental technique, e.g. 'Eqk' = Heat of equilibrium, 'Cm' = Calorimetry, 'Chyd' = Calorimetry of hydrogenation</li> <li><strong>Temperature K</strong> -- if available, reported values&nbsp;</li> <li><strong>reference</strong> -- Abbreviation of reference to original publication</li> <li><strong>experimental heat of reaction kJ/mol</strong> -- measured value as reported by experimentalists</li> <li><strong>experimental uncertainty </strong>-- if available, uncertainty of measurement reported by experimentalists</li> <li><strong>comments</strong> -- notes relating to identification of compounds</li> <li><strong>SMILES_ox</strong> -- isomeric canonical SMILES for oxidized form M</li> <li><strong>InChI_ox</strong> -- InChI for oxidized form M&nbsp;</li> <li><strong>SMILES_red</strong> -- isomeric canonical SMILES for reduced form M</li> <li><strong>InChI_red </strong>-- InChI for reduced form M</li> <li><strong>reaction_index </strong>-- consequtively numbered for identical pairs (SMILES_ox, SMILES_red)<strong><br></strong></li> <li>the calculated properties are given for the oxidized and reduced form of the molecule (in hartree) <ul> <li><strong>E(B3LYP/6-31G(2df,p))</strong></li> <li><strong>E_thermal</strong></li> <li><strong>E(G4(MP2))@0K</strong></li> <li><strong>E(G4(MP2))@298K</strong></li> <li><strong>H(G4(MP2))</strong></li> <li><strong>heat_of_formation@0K</strong></li> <li><strong>heat_of_formation@298K</strong></li> </ul> </li> </ul> </li> </ul> <p><strong>02_molecules.sdf:</strong> provides for each molecule a low-energy geometry along with some descriptors and calculated energetic properties:</p> <blockquote> <ul> <li>coordinate block + bond information</li> <li>properties <ul> <li><strong>SMILES</strong> -- isomeric canonical smiles linking compound to reactions defined in 01_heat_of_hydrogenation_XP+QM.csv</li> <li><strong>radical_electrons</strong> -- number of unpaired electrons as determined by RDKit</li> <li><strong>empirical_formula</strong> -- elemental composition of molecule</li> <li><strong>molecular_weight</strong> -- as determined by RDKit in g/mol</li> <li><strong>TPSA </strong>-- &nbsp;topological polar surface area (<em>TPSA</em>) as determined by RDKit</li> <li><strong>logP </strong>-- octanol/water partition coefficient as predicted by RDKit</li> <li><strong>nof_heavy_atoms --</strong> number of non-hydrogen atoms in molecule</li> <li><strong>degree_of_unsaturation</strong> -- sum of multiplebonds and/or rings present in the compound</li> <li><strong>rings</strong> -- number of rings in the compound as determined by RDKit</li> <li><strong>multiplicity</strong> -- spin multiplicity for use as input for QM calculations</li> <li><strong>nof_multiple_bonds</strong> -- number of multiple bonds as determined by RDKit</li> <li><strong>Std_InChI</strong> -- standard InChi</li> <li><strong>FixedH_InChI</strong> -- variant of InChI to differentiate tautomers</li> <li><strong>tag </strong>-- dataset label</li> <li><strong>total_atoms </strong>-- total number of atoms (including H)</li> <li><strong>net_charge</strong> -- total charge of molecule in units of elementary charge</li> <li> <p>energetic properties (in hartree)&nbsp;</p> <ul> <li> <p><code>E(B3LYP/6-31G(2df,p))</code></p> </li> <li> <p><code>E</code><code>(HF/maug-cc-p(T+d)Z) </code></p> </li> <li> <p><code>E(HF/CBS)</code></p> </li> <li> <p><code>E(HF/maug-cc-p(Q+d)Z) </code></p> </li> <li> <p><code>E(MP2/6-31G(d))</code></p> </li> <li> <p><code>E(CCSD(T)/6-31G(d))</code></p> </li> <li> <p><code>E(HF/G3MP2LARGEXP) </code></p> </li> <li> <p><code>E(MP2/G3MP2LARGEXP)</code></p> </li> <li> <p><code>DE(MP2) hartreeDE(HF)</code></p> </li> <li> <p><code>ZPE(B3LYP) hartree</code></p> </li> <li> <p><code>ZPE_scale_factor hartree</code></p> </li> <li> <p><code>E(HLC) hartree</code></p> </li> <li> <p><code>E_thermal hartree</code></p> </li> <li> <p><code>H_thermal hartree</code></p> </li> <li> <p><code>E(G4(MP2))@0K hartree</code></p> </li> <li> <p><code>E(G4(MP2))@298K hartree</code></p> </li> <li> <p><code>H(G4(MP2)) hartree</code></p> </li> <li> <p><code>heat_of_formation@0K kcal/mol</code></p> </li> <li> <p><code>heat_of_formation@298K kcal/mol</code></p> </li> </ul> </li> </ul> </li> </ul> </blockquote> <p><strong>03_references.csv</strong> (separated by "|") lists abbreviations and corresponding full reference to original publication of individual data points.</p>

opencc-by-4.0Mar 2024View details →
zenodo48/100

Experimental data for "Measurement Report: Influence of particle density on secondary ice production by graupel and ice pellet collisions"

<p>This dataset includes measurement data on secondary ice production due to bare graupel - bare graupel, and ice pellet - ice pellet collisions carried out in the Mainz Cold Room (M-CR) of the Johannes Gutenberg University of Mainz.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo48/100

An experimental data set on the thermal and fluid dynamic performance of double skin facades (DSFs) subjected to various controlled boundary conditions through the use of a climate simulator facility

<p>Double skin facades (DSFs) are building envelope systems defined by complex phenomena and non-linear-processes that make characterizing their performance a non-trivial task. In an effort to enable the scientific community to access experimental data for further analysis or model validation purposes, we release together with the open-access paper entitled &ldquo;<strong><em>Laboratory testbed and methods for flexible characterization of the thermal and fluid dynamic behavior of double skin facades&rdquo; (</em></strong><a href="https://doi.org/10.1016/j.buildenv.2021.108700"><strong><em>https://doi.org/10.1016/j.buildenv.2021.108700</em></strong></a><strong><em>)</em></strong>, a set of experimental data collected during tests carried out with the use of the newly developed testbed. The data contains the results of a series of tests where various configurations of a full-scale DSF mock-up that have been subjected to different boundary conditions replicated in a climate simulator. The database contains a guide in the form of the file &lsquo;Guide.pdf&rsquo;, which explains how to read data, presents a schematic drawing of sensor layout, and provides more information on sensors&rsquo; positions. Further information on the original aims of the experiments, methods, and other data can be found in the article mentioned above, which becomes an essential tool to understand how to read and interpret the experimental data fully. The following collection of experimental data are provided:</p> <ul> <li>32 steady-state measurements where the following factors were changed: ventilation mode (indoor and outdoor air curtain), solar irradiance (0, 400, 600, and 800 Wm<sup>-2</sup>), outdoor chamber temperature (10, 20, 30, and 40 ℃), cavity depth (20, 30, 40 and 60 cm) and venetian blinds position (no blinds, closed blinds, &theta;=45 &ordm;, and open blinds) [file names: &lsquo;Taguchi_4Lx4F_L16_I-I.csv&rsquo; and &lsquo;Taguchi 4Lx4F_L16_O-O.csv&rsquo;],</li> <li>Dynamic profile measurements corresponding to a typical hot summer day [Dynamic_profile_measurements.csv] and</li> <li>Calibration data [Callibration.csv].</li> </ul> <p>Any inquires on the experimental data<em> can be sent </em>to: aleksandar.jankovic@ntnu.no</p>

opencc-by-4.0Dec 2021View details →
zenodo48/100

Experimental data for the motor learning study performed: "Towards functional robotic training: Motor learning of dynamic tasks is enhanced by haptic rendering but hampered by robotic assistance"

<p>The dataset contains the kinematic data and the questionnaire responses for a robot-assisted motor learning study performed in the Motor Learning and Neurorehabilitation Laboratory at the University of Bern. The details of the study are&nbsp;described in [doi: ]. The kinematic data for each participant is stored as a data frame inside a &ldquo;pickle&rdquo; (serialized python object) file. The questionnaire responses and population metrics&nbsp;are stored as&nbsp;&ldquo;CSV&rdquo; files. The variables inside the files are explained in &ldquo;DataframeVariableDescription.rtf&rdquo;. For questions, please contact oezhan.oezen@artorg.unibe.ch or L.MarchalCrespo@tudelft.nl.</p>

opencc-by-4.0Jul 2021View details →
zenodo48/100

Experimental data for 'Scaling laws for coastal overwash morphology'

<p>This dataset contains the experimental data described in Lazarus, ED (2016) Scaling laws for coastal overwash morphology, <em>Geophysical Research Letters</em>, 43, 12113&ndash;12119,&nbsp;<a href="https://doi.org/10.1002/2016GL071213">https://doi.org/10.1002/2016GL071213</a>.</p> <p>The physical experiments that produced these data were conducted at St Anthony Falls Laboratory (University of Minnesota, USA)&nbsp;in December 2014. The experiments were conducted in a 3 x 5 x 0.6 m tank filled with well-sorted coarse river sand. The tank and the experimental trials are&nbsp;detailed in Text S1 of the Supporting Information for Lazarus (2016):&nbsp;<a href="https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2F2016GL071213&amp;file=grl55284-sup-0001-SI.pdf">https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2F2016GL071213&amp;file=grl55284-sup-0001-SI.pdf</a></p> <p>This dataset&nbsp;consists of two *.csv files:</p> <ul> <li>&#39;...THROATS.csv&#39; &ndash; morphometric data for <strong>erosional</strong> (throat) features in the experimental barrier</li> <li>&#39;...WASHOVER.csv&#39; &ndash; morphometric data for <strong>depositional</strong> (washover) features on the back-barrier floodplain</li> </ul> <p>Both files have the same general column headings: feature width (in the alongshore dimension) [m], feature length (in the cross-shore dimension) [m], feature area [m<sup>2</sup>], feature volume [m<sup>3</sup>], alongshore spacing (centroid-to-centroid distance to neighbouring feature) [m], and real alongshore position [m].</p> <p>All features were formed along an initially geometrically uniform (topographically homogenous) trapezoidal barrier&nbsp;under inundation-type forcing (denoted in &#39;forcing&#39; column). These data&nbsp;report the compiled results of three experimental trials (denoted in &#39;trial&#39; column).</p> <p>Note that these data are also available as part of the Supporting Information for Lazarus (2016), but the format in which they were originally uploaded is not conducive to straightforward&nbsp;integration into open-source analysis. Publishing them here, in this tidier format, is an effort to rectify that.</p>

opencc-by-4.0Nov 2016View details →
zenodo48/100

An experimental data set for the analysis of the thermophysical behavior of a single-story naturally ventilated double-skin façade (DSF) under summer boundary conditions

<p>Double-skin facades (DSFs) are adaptive building envelope elements that offer the possibility to dynamically interact with the heat and mass flow between indoor and outdoor environments. Though designed to provide better performance compared to more conventional envelope solutions, these fa&ccedil;ade systems may, in some cases, underperform and lead to an increase in energy use or in thermal discomfort if not properly designed and operated. One of the known problems is the risk of overheating, in hot periods, in the ventilated cavity. In order to analyze this effect, we have systematically investigated the performance of a single-story, naturally ventilated DSF. The DSF is operated in the so-called outdoor air curtain mode and has venetian blinds installed in the 20 mm deep ventilated cavity. Tests were carried out under a steady-state regime corresponding to relevant summertime conditions. In an effort to enable the scientific community to access experimental data to analyze this problem further or for model validation purposes, we released together with the open-access paper entitled &quot;<strong>Characterization of a naturally ventilated double-skin fa&ccedil;ade through the design of experiments (DOE) methodology in a controlled environment</strong>,&quot; the entire set of experimental data collected during the tests. The data set contains the results of a series of experimental runs where different configurations of the DSF, as detailed below, have been subjected to various boundary conditions through a climate simulator facility equipped with a solar simulator device. The database is supported by a guide (&quot;Guide.pdf&quot;), where further explanations about how to read data and schematic drawings of the sensor layout are provided. Additional information about the original aims of the experiments, the detailed methods, and other data processing procedures can be found in the article mentioned above. The collection of experimental tests in this data set covers:</p> <ul> <li>49 steady-state measurements where the following factors were changed using different experimental designs: solar irradiance (0, 350, and 700 Wm<sup>-2</sup>), outdoor chamber temperature (15, 25, and 35 ℃), opening size (7, 21, and 42 dm<sup>2</sup>), and venetian blinds angle (closed blinds &theta;=0 &ordm;, &theta;=45 &ordm;, and open blinds &theta;=90 &ordm;) [file name: &quot;Complete_data.csv&quot;],</li> </ul> <p>Any inquiries about the experimental data can be sent to: <a href="mailto:aleksandar.jankovic@ntnu.no">aleksandar.jankovic@ntnu.no</a></p> <p>The activities presented in this paper were carried out within the research project &quot;REsponsive, INtegrated, VENTilated - REINVENT &ndash; windows,&quot; supported by the Research Council of Norway through the research grant 262198, and the partners SINTEF, Hydro Extruded Solutions, Politecnico di Torino and Aalto University.</p>

opencc-by-4.0Mar 2022View details →
zenodo48/100

Librecast: IoT Software Updates over IPv6 Multicast Archive of all experimental data

<p>The librecast project states that ``Multicast is, by definition, the most efficient way for multiple nodes to communicate&#39;&#39;. &nbsp;This experiment is designed to provide evidence of this efficiency by comparing multicast and unicast methods of sending the same data to a large number of nodes, as would for example happen when a software update is released.<br> <br> The data set covers the experimental runs on the Virtual Wall 1 at IMEC as part of the Fed4Fire+ &quot;SME and NGI Cascaded Experiments&quot; https://www.fed4fire.eu/demo-stories/cc/librecasttesting/</p> <p>This directory contains raw experiment results as produced by the &quot;run-experiment&quot; script. File names containing &quot;.test.&quot; are experiment runs using code changes which we decided not to keep, and are excluded from processing and summarising. File names containing &quot;.partial.&quot; are experiment runs which were interrupted for some reason (usually when some nodes in a testbed stopped responding, and we could not get a complete set). These are also excluded from processing and summarising.</p> <p>Summaries:</p> <p>Results collated by testbed:</p> <table> <tbody> <tr> <th>Testbed</th> <th>Booted</th> <th>Clients</th> <th>Routers</th> <th>Runs</th> </tr> <tr> <td>S1L20B</td> <td>2022-01-19 10:15:08 UTC</td> <td>20</td> <td>0</td> <td>1</td> </tr> <tr> <td>S1L20C</td> <td>2022-01-19 10:15:08 UTC</td> <td>20</td> <td>0</td> <td>30</td> </tr> <tr> <td>S1L40</td> <td>2022-02-16 12:17:41 UTC</td> <td>40</td> <td>0</td> <td>6</td> </tr> <tr> <td>S1L48A</td> <td>2022-02-18 21:27:33 UTC</td> <td>48</td> <td>0</td> <td>6</td> </tr> <tr> <td>S1L49F</td> <td>2022-02-25 19:03:03 UTC</td> <td>49</td> <td>0</td> <td>11</td> </tr> <tr> <td>S1L50</td> <td>2022-02-17 21:02:31 UTC</td> <td>50</td> <td>0</td> <td>2</td> </tr> <tr> <td>S1L51G</td> <td>2022-02-28 19:23:06 UTC</td> <td>51</td> <td>0</td> <td>14</td> </tr> <tr> <td>S1R1L19C</td> <td>2022-01-28 08:41:43 UTC</td> <td>19</td> <td>1</td> <td>1</td> </tr> <tr> <td>S1R1L19D</td> <td>2022-01-28 08:41:43 UTC</td> <td>19</td> <td>1</td> <td>8</td> </tr> <tr> <td>S1R1L20A</td> <td>2022-02-11 17:14:31 UTC</td> <td>20</td> <td>1</td> <td>13</td> </tr> <tr> <td>S1R3L10H</td> <td>2022-03-09 20:46:54 UTC</td> <td>40</td> <td>7</td> <td>4</td> </tr> <tr> <td>S1R3L5B</td> <td>2022-01-24 19:09:44 UTC</td> <td>20</td> <td>7</td> <td>1</td> </tr> <tr> <td>S1R3L5C</td> <td>2022-01-24 19:09:44 UTC</td> <td>20</td> <td>7</td> <td>7</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>Results collated by number of clients:</p> <table> <tbody> <tr> <th>Collection</th> <th>Clients</th> <th>Runs</th> </tr> <tr> <td>Multiple LANs</td> <td>19</td> <td>9</td> </tr> <tr> <td>Two LANs</td> <td>19</td> <td>9</td> </tr> <tr> <td>All testbeds</td> <td>19</td> <td>9</td> </tr> <tr> <td>Single LAN</td> <td>20</td> <td>31</td> </tr> <tr> <td>Multiple LANs</td> <td>20</td> <td>21</td> </tr> <tr> <td>Two LANs</td> <td>20</td> <td>13</td> </tr> <tr> <td>Multiple LANs</td> <td>20</td> <td>8</td> </tr> <tr> <td>All testbeds</td> <td>20</td> <td>52</td> </tr> <tr> <td>Single LAN</td> <td>40</td> <td>6</td> </tr> <tr> <td>Multiple LANs</td> <td>40</td> <td>4</td> </tr> <tr> <td>Multiple LANs</td> <td>40</td> <td>4</td> </tr> <tr> <td>All testbeds</td> <td>40</td> <td>10</td> </tr> <tr> <td>Single LAN</td> <td>48</td> <td>6</td> </tr> <tr> <td>All testbeds</td> <td>48</td> <td>6</td> </tr> <tr> <td>Single LAN</td> <td>49</td> <td>11</td> </tr> <tr> <td>All testbeds</td> <td>49</td> <td>11</td> </tr> <tr> <td>Single LAN</td> <td>50</td> <td>2</td> </tr> <tr> <td>All testbeds</td> <td>50</td> <td>2</td> </tr> <tr> <td>Single LAN</td> <td>51</td> <td>14</td> </tr> <tr> <td>All testbeds</td> <td>51</td> <td>14</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>All results together:</p> <table> <tbody> <tr> <th>File size</th> <th>Runs</th> </tr> <tr> <td>32</td> <td>104</td> </tr> <tr> <td>128</td> <td>104</td> </tr> <tr> <td>512</td> <td>104</td> </tr> <tr> <td>2048</td> <td>104</td> </tr> <tr> <td>All</td> <td>416</td> </tr> </tbody> </table> <p>All results together, immediate, size 2048:</p> <table> <tbody> <tr> <th>Update</th> <th>Runs</th> </tr> <tr> <td>multicast</td> <td>104</td> </tr> <tr> <td>scp</td> <td>104</td> </tr> <tr> <td>tcp</td> <td>104</td> </tr> <tr> <td>udp</td> <td>104</td> </tr> </tbody> </table> <p>Router results for selected multicast runs and routers</p> <table> <tbody> <tr> <th>Testbed</th> <th>Run</th> </tr> <tr> <td>S1R3L10H</td> <td>20220309222056</td> </tr> <tr> <td>S1R3L10H</td> <td>20220310074238</td> </tr> <tr> <td>S1R3L10H</td> <td>20220310172944</td> </tr> <tr> <td>S1R3L10H</td> <td>20220311033431</td> </tr> <tr> <td>S1R3L5B</td> <td>20220128192622</td> </tr> <tr> <td>S1R3L5C</td> <td>20220129114604</td> </tr> <tr> <td>S1R3L5C</td> <td>20220129215606</td> </tr> <tr> <td>S1R3L5C</td> <td>20220130060831</td> </tr> <tr> <td>S1R3L5C</td> <td>20220130144549</td> </tr> <tr> <td>S1R3L5C</td> <td>20220130224025</td> </tr> <tr> <td>S1R3L5C</td> <td>20220131063956</td> </tr> <tr> <td>S1R3L5C</td> <td>20220131164414</td> </tr> <tr> <td>S1R3L10H</td> <td>20220310001954</td> </tr> <tr> <td>S1R3L10H</td> <td>20220310093547</td> </tr> <tr> <td>S1R3L10H</td> <td>20220310193037</td> </tr> <tr> <td>S1R3L10H</td> <td>20220311052100</td> </tr> <tr> <td>S1R3L5B</td> <td>20220128210828</td> </tr> <tr> <td>S1R3L5C</td> <td>20220129132315</td> </tr> <tr> <td>S1R3L5C</td> <td>20220129234328</td> </tr> <tr> <td>S1R3L5C</td> <td>20220130075126</td> </tr> <tr> <td>S1R3L5C</td> <td>20220130162044</td> </tr> <tr> <td>S1R3L5C</td> <td>20220131002021</td> </tr> <tr> <td>S1R3L5C</td> <td>20220131083908</td> </tr> <tr> <td>S1R3L5C</td> <td>20220131181549</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2022View details →
zenodo48/100

Experimental data for the study: "Naturalistic visualization of reaching movements using head-mounted displays improves movement quality and proves high usability compared to conventional computer screens"

<p>The datasets contains the motor performance metrics&nbsp;and the questionnaire responses for two experiments involving a&nbsp;motor task with a VR controller (experiment 1, healthy old participants) or a rehabilitation assistive device (experiment 2, brain-injured patients) and three visualization technologies: an immersive virtual reality (IVR) head-mounted display (HMD), an augmented reality (AR) HMD, and a computer screen (2D screen). The&nbsp;study was performed in the Motor Learning and Neurorehabilitation Laboratory at the University of Bern. All data are stored in&nbsp;&ldquo;csv&rdquo; files. The variables inside the files are explained in &ldquo;DataFrameDescription.rtf&rdquo;. For questions, please contact&nbsp;L.MarchalCrespo@tudelft.nl.</p>

opencc-by-4.0Jun 2022View details →
zenodo48/100

Experimental data for Quantum noise limited microwave amplification using a graphene Josephson junction

<p>This dataset was used in our study of &quot;Quantum noise limited microwave amplification using a graphene Josephson junction&quot;.</p>

opencc-by-4.0Aug 2022View details →
zenodo48/100

Experimental validation data for in silico OA study

<p>The folder contains, ALP assay and&nbsp;PCR data, experimental protocols as well as scripts for plotting and&nbsp;analysis.</p> <p>This is related to the following git repository:&nbsp;https://github.com/Rapha-L/Experimental_validation_for_insilicoOA&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo48/100

Experimental data aquisition of the U-LEAF Linear Fresnel Collector of the Cyprus Institute

<p>The file contains the experimental data for 50+ (non continuous) days of operation of the <a title="Linear Fresnel Reflector of the Cyprus Institute" href="https://energy.cyi.ac.cy/facilities/fresnel/">LFR</a> at the Cyprus Institute. This is a csv file type. The data set is divided in several columns:&nbsp;</p> <ul> <li><strong>Date</strong>: Year, Month, Day, Hours, Minutes, Seconds <em>as per the aquisition time-steps of the Master PLC of the Linear Fresnel Collector<br></em></li> <li><strong>Solar position</strong>: Azimuth of the sun (Azimuth =0 at South), Elevation of the sun (0 from the horizon) <em>calculated based on NOAA algorithm fitting the Master PLC aquisition time-steps for the location of the Linear Fresnel collector&nbsp;<br></em></li> <li><strong>IAM (Incidence Angle Modifiers)</strong>: calculated from ray tracing software (Tonatiuh)&nbsp;<em> based on PLC aquisition steps</em></li> <li><strong>DNI (Direct Normal Irradiance):</strong> as measured by the pyrheliometer (LP Pyhre 16 AC with EKO STR 21G tracker)</li> <li><strong>Weather station data</strong>: Ambient Temperature, Pressure, GHI, Humidity, Wind velocity (<em>Davis Vantage pro 2</em>)</li> <li><strong>Reflectometry data</strong> as measured several time per week and interpolated in between (<em>D&amp;S Portable Specular Reflectometer Model 15R-USB</em>)</li> <li><strong>Absorber measurements</strong>: measured inlet, measured outlet and average calculated temperatures&nbsp;<em>in the absorber as the the aquisition of the PLCs (TC MISURE E CONTROLLI PT100, Class 1/3)</em></li> <li><strong>Heat transfer Fluid characteristics</strong>: Cp and Density, Massflow obtained from the volumetric flow (Prowirl F200, 7F2B25, DN25 1"), Power absorbed <em>as calculated based on the Duratherm 450 datasheet</em></li> </ul> <p>The date is set by the aquisition by the master PLC that registers the date, the volumetric flowrate of the HTF, the inlet temperature and the outlet temperature.&nbsp;</p> <p>They are 4 data base merged together:</p> <ul> <li>The master PLC&nbsp;</li> <li>The weather station</li> <li>DNI</li> <li>Reflectometer</li> </ul> <p>The available data matches periods of time when the 4 database had data registered. Time-steps vary between 15 seconds and 30 seconds.&nbsp;</p> <p>For more information you can send an email to a.montenon@cyi.ac.cy</p>

opencc-by-4.0May 2024View details →
zenodo48/100

Experimental data generated on the stability of hydrophobic porous materials

<div>/* **********</div> <div>/* This work is licensed under a Creative Commons Attribution 4.0 International License.</div> <div>/* **********</div> <div>&nbsp;</div> <div>Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union, https://www.electro-intrusion.eu/en) along with the research&nbsp; &nbsp;to be used in intrusion-extrusion applications. Research pertaining to Task 2.1 (WP2).&nbsp;</div> <div>Underlying data for the publication Amayuelas, E. et al. Bimetallic Zeolitic Imidazole Frameworks for Improved Stability and Performance of Intrusion-Extrusion Energy Applications. The Journal of Physical Chemistry 2023, 127, 18310-18315. https://doi.org/10.1021/acs.jpcc.3c04368. Data related to Figures 2, 3 and 4 in the article.</div> <div>&nbsp;</div> <div>Dataset Identifier: 10.5281/zenodo.11273904</div> <div>&nbsp;</div> <div>Contact person: Eder Amayuelas (CIC energiGUNE). ORCID:&nbsp; &nbsp;</div> <div>&nbsp;</div> <div>&nbsp;</div> <div>The archive 'JPCC_3c04368.zip' contains 25 files:</div> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo48/100

Experimental data for "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

<p>Here, we provide all original data used in the manuscript "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"</p> <p>We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through projects 277101999 (CRC 183, project&nbsp;C03) and FR2726/10-1.</p>

opencc-by-4.0Feb 2024View details →
zenodo48/100

Coherent vortex dynamics in a strongly-interacting superfluid on a silicon chip: Experimental and simulation data sets

<p>This data set collates the experimental and simulation data for the research paper &quot;Coherent vortex dynamics in a strongly-interacting superfluid on a silicon chip&quot;.</p>

opencc-by-4.0Oct 2019View details →
zenodo48/100

Placebo nasal spray protects female participants from experimentally induced sadness and concomitant changes in autonomic arousal (Open Data and Open Materials)

<p><strong>Open Data and Open Materials of: Placebo nasal spray protects female participants from experimentally induced sadness and concomitant changes in autonomic arousal. <em>Journal of Affective Disorders</em>. </strong></p> <p><em>Background:</em> To investigate the powerful placebo effects in antidepressant drug trials and their mechanisms, recent pioneering experimental studies showed that expectation manipulation combined with an active placebo attenuated induced sadness. In the present study, we aimed at extending these findings by assessing the psychophysiological response in addition to mere self-report.</p> <p><em>Methods:</em> One hundred thirteen healthy female students were randomly assigned to a drug expectation group (active placebo, positive treatment expectation), placebo expectation group (active placebo, no treatment expectation), or a no-treatment group (no placebo, no treatment expectation). After placebo intake, sadness was induced by self-deprecating statements using the Velten method combined with sad music, including a rumination phase. Sadness was measured using the Positive and Negative Affect Schedule Expanded Form (PANAS-X). Heart rate and skin conductance were assessed continuously.</p> <p><em>Results:</em> After mood induction and after rumination, self-reported sadness was significantly lower, and skin conductance level was significantly higher, in the drug expectation group than in the no-treatment group. The mood induction was further accompanied by a heart rate deceleration within all groups.</p> <p><em>Limitations: </em>Generalizability is limited by sample selectivity and focusing on sadness as a symptom of depression, exclusively.</p> <p><em>Conclusion:</em> Expectation-induced placebo effects significantly influenced sadness-correlated changes in autonomic arousal, and not only subjectively reported sadness, indicating that placebo effects in the context of affect are not merely due to subjective response bias. The systematic modification of treatment expectation could be utilized in clinical practice to optimize current therapeutic approaches to improve mood regulation.</p>

opencc-by-4.0Aug 2021View details →
zenodo48/100

Fault-Tollerant Converter experimental data

<p>The set of files contain the experimental dataset from the tests performed to the Fault-Tolerant Power Converter.</p> <p>Files contain:</p> <ul> <li>&ldquo;Fault-Tolerant Converter experimental data [Dataset Description].pdf&rdquo;: Dataset description.</li> <li>&ldquo;Test_Sxxx.mat&rdquo;: <em>.mat files (from Matlab) with the experimental data of each of the failure tested</em>/emulated.</li> <li>&ldquo;Test Sxxx preview.png&rdquo;: Screenshots of the several Graphs obtained with the .mat data set.</li> </ul> <p>The dataset was provided by the&nbsp;Power Systems Group of the&nbsp;Electrical Engineering Research Area,&nbsp; IREC (Spain).</p>

opencc-by-4.0Oct 2022View details →
zenodo48/100

Experimental data for the manuscript titled Rotating quantum wave turbulence

<p>This submission contains the minimal dataset required to reproduce the experimental findings related to the manuscript titled <em>Rotating quantum wave turbulence</em>, associated with the DOI 10.1038/s41567-023-01966-z.</p>

opencc-by-4.0Feb 2023View 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