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Magnetic Field Measurements above a Phonolite Diatreme near Rockeskyll, West Eifel, Germany

Open the record for dataset details and reuse information.

opencc-by-4.0Feb 2023View details →

OME-Zarr 3D hiPSCs with 3D labels & 3D measurements, 2x2 field of views

These are 2 small OME-Zarr files of the data from <a href="../records/7057076">10.5281/zenodo.7057076</a>. The images have been processed using <a href="https://fractal-analytics-platform.github.io/">Fractal</a>, the workflow is attached as a json file. It ran with fractal-server==2.3.6, fractal-client==2.0.1, fractal-web==1.4.0 and fractal-tasks-core==1.2.1. Both Zarr files are Zip-compressed to allow easier upload & download from Zenodo.  20200812-CardiomyocyteDifferentiation14-Cycle1.zarr contains 3 3D channels, a nuclear segmentation produced by <a href="https://cellpose.readthedocs.io/en/latest/">cellpose</a> as labels and 4 tables: A ROI table for the whole well, a ROI table for the 4 field of views, a masking ROI table for the nuclear segmentation, as well as measurements performed with <a href="https://github.com/haesleinhuepf/napari-skimage-regionprops">napari-skimage-regionprops</a>. 20200812-CardiomyocyteDifferentiation14-Cycle1_mip.zarr contains the same 3 channels, but as maximum intensity projections. It contains nuclear segmentation through cellpose, as well as 3 more labels generated by napari workflows (different thresholds, less accurate segmentations). It also contains 7 tables: The region of interests like in the 3D data, as well as measurements performed with <a href="https://github.com/haesleinhuepf/napari-skimage-regionprops">napari-skimage-regionprops</a>. The tables are stored in the OME-Zarr file according to the <a href="https://fractal-analytics-platform.github.io/fractal-tasks-core/tables/">Fractal table specification</a> spec in AnnData. The 3 channels are: - 0: DAPI, nuclear stain - 1: nanog, antibody staining with Bio-Techne AG, AF1997-SP, Lot KKJ0617121 for the stemness marker nanog - 2: Lamin B1, antibody staining with Abcam, ab16048, Lot GR3244890-2 for the nuclear envelope marker Lamin B1

Dataset for: In-operando microwave scattering-parameter calibrated measurement of a Josephson travelling wave parametric amplifier

Dataset for manuscript "In-operando microwave scattering-parameter calibrated measurement of a Josephson travelling wave parametric amplifier", <a href="https://arxiv.org/abs/2406.03063">arXiv:2406.03063</a> Containing the uncalibrated raw measurement data and the calibrated dataset after applying the 8-term error model.

Dataset on consumer acceptance of policy measures for sustainable food consumption

This data was obtained from an online survey conducted with Swiss participants from the German-speaking parts of Switzerland. The survey was conducted in February 2023. Participants were recruited through a professional panel provider and quotas were used for age and gender. The final sample contained 453 respondents. In the first part of the survey, respondents provided basic sociodemographic information and reported how often they consumed meat and dairy products. In the second part, their knowledge regarding the environmental impact of food was assessed using an existing scale by Hartmann et al. (2021). Next, respondents indicated for 19 different policy measures how much they agreed with each of them. Finally, respondents answered several questions assessing their health consciousness and environmental attitudes using existing scales. The survey can be used and adapted to different contents, aiming to investigate public acceptance of policy measures for sustainable food consumption.

Data for: Multi-year field measurements of home storage systems and their use in capacity estimation

The dataset accompanies the Nature Energy publication by Figgener et al. (2024), Multi-year field measurements of home storage systems and their use in capacity estimation, <a href="https://doi.org/10.1038/s41560-024-01620-9">DOI 10.1038/s41560-024-01620-9</a>.  In addition, we use the dataset in Figgener et al. (2024), Degradation mode estimation using reconstructed open circuit voltage curves from multi-year home storage field data, <a href="https://doi.org/10.48550/arXiv.2411.08025">DOI 10.48550/arXiv.2411.08025</a> The ISEA / CARL of RWTH Aachen University measured 21 private home storage systems in Germany over up to eight years from 2015 to 2022. All these storage systems are combined with residential photovoltaic systems to increase self-consumption. The measured quantities published are system-level battery current, voltage, power, battery pack housing temperature, and room temperature. The sample rate is one second. The dataset consists of 106 system years, 14 billion data points, and 1,270 monthly files stored in 21 system folders.  Use the data as follows: 1. Download the data (Data_ID_01.zip to Data_ID_21.zip) and the belonging repository (Metadata_and_Code.zip) 2. Uncompress the files so that the uncompressed folders have the same name as the .zip files. 3. Copy all data folders in folder "Metadata_and_Code/00_Data/01_Operational_Data". Read and execute the file "StartUp_Read_and_Execute.m" and stay in this folder for any script you execute.  In addition, a detailed description of the dataset and how to use it can be found in the supplementary information of the publication.

Manual in-situ measurements of snow depth and snow water equivalent at the Polish Polar Station Hornsund - winter seasons 2021/2022and 2022/2023

The dataset presents manual measurements of snow depth and snow water equivalent collected at the Polish Polar Station Hornsund in Svalbard during the winter seasons of 2021/2022 and 2022/2023. Snow depth measurements have been conducted at the same location by the Station's overwintering personnel since August 1982. Snow depth is calculated from a mean of three snow stakes to avoid the effects of the drifting snow. Measurements are taken manualy, on a daily basis.  Snow water equivalent measurements have also been carried out at the same points by the Station's overwintering crew since October 1982. These measurements are performed every five days using a VS-43 snow tube. However, measurements are not taken when the snow depth is less than 5 cm.

Data for publication "The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zürich"

Please see README.md for a description of this package.  This work was funded by the European Union's Horizon 2020 research and innovation programme, grant agreement number 101037319, named Pilot Applications in Urban Landscapes - towards integrated city observatories for greenhouse gases (PAUL) and is known as ICOS Cities.

Proof-of-Concept Measurement for "Radar Band Fusion Using Frame-Based Compressed Sensing"

This data set was created for a proof-of-concept test of the method described in "Radar Band Fusion Using Frame-Based Compressed Sensing". It consists of a measurment against a metal plate.

Experimental measurements of the H2-H2 and H2-He binary absorption coefficients in the [2500 ,5900] cm^-1 spectral range from 120 to 500 K

Binary absorption coefficients (BAC) of the Collision-Induced Absorption (CIA) fundamental band of H2 are given in tabular form for both the H2-H2 and H2-He contributions for seven temperatures in the [120, 500] K range and [2500, 5900] cm^-1 spectral range. Tables are composed of three columns. The first column represents the wavenumber in cm^-1, in the second column the binary absorption coefficients in cm^5 molecule^-2 are collected, and the third column contains the accuracy of the binary coefficients in cm^5 molecule^-2. Every column is delimited with a comma.  The accuracy can be supposed to be of three significant digits, even if the trailing zeros are not displayed.

Measurement database and line parameter database for air- and H2O-broadened CO2 in the 4750-5175 cm-1 region including continuum

Air-broadened CO2 measurements in the temperature range 200-294 K and a total pressure range 100-1000 mbar and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases). Additionally, a H2O-broadened measurement at 294 K was recorded and analyzed. The measurement database is in “CO2_air-_and_H2O-broadened_measurements_4750-5175cm-1.zip” and the line parameter database in “CO2_air-_and_H2O-broadening_parameters_4750-5175cm-1_V4.zip”. The CO2/air continuum is given in “CO2_2mu0_RT_foreigncont_polcoeffs_from_scaled_4mu3_N2.txt”. The readme file is “Measurement database and line parameter database for air- and H2O-broadened CO2 in the 4750-5175 cm-1 region including continuum - Readme.docx”. Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in <a href="https://zenodo.org/records/1009126">ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org)</a>. Depletions calculated with the polynomials in temperature have the unit atm-1. Systematic uncertainties which were common for all lines were omitted in the line parameter database and are listed here: Air-broadening parameters 0.03%, speed-dependence of air-broadening 1.5%, air Dicke narrowing 10-20%, air line mixing 0.0001 atm-1, air pressure-induced line shift 3x10-5 cm-1atm-1, temperature exponent of air-broadening parameters 0.0005, temperature dependence of air line mixing 0.1 K-1, temperature dependence of air pressure-induced line shift 5x10-7 cm-1atm-1K-1. In case the speed-dependence was calculated from polynomials of gamma2/gamma0 vs gamma0 the systematic uncertainty is estimated to be 10%.

Nocturnal leaf respiratory CO2 release in different species measured at constant temperature

RAW data for GCB publication by Dan Bruhn, Martijn Slot, and Lina M Mercado, 'Simple and accurate representation of cumulative night-time leaf respiratory CO2-efflux' Nocturnal leaf respiratory CO2 release in 14 different species measured at constant temperature measured in the field.

Measurement database and line parameter database for air- and H2O-broadened CO2 in the 5970-6575 cm-1 region including continuum

Air-broadened CO2 measurements in the temperature range 210-294 K and a total pressure range 100-1000 mbar and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases). Additionally, a H2O-broadened measurement at 294 K was recorded and analyzed. The measurement database is in “CO2_air-_and_H2O-broadened_measurements_5970-6575cm-1.zip” and the line parameter database in “CO2_air-_and_H2O-broadening_parameters_5970-6575cm-1_V2.zip”. The CO2/air continuum is given in “CO2_1mu6_RT_foreigncont_polcoeffs_from_scaled_4mu3_N2.txt”. The readme file is “Measurement database and line parameter database for air- and H2O-broadened CO2 in the 5970-6575 cm-1 region including continuum - Readme_V2.docx”. Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in <a href="https://zenodo.org/records/1009126">ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org)</a>. Depletions calculated with the polynomials in temperature have the unit atm-1. Systematic uncertainties which were common for all lines were omitted in the line parameter database and are listed here: Air-broadening parameters 0.07%, speed-dependence of air-broadening 1.5%, air line mixing 0.0002 atm-1, air pressure-induced line shift 6x10-5 cm-1atm-1, temperature exponent of air-broadening parameters 0.003, temperature dependence of air line mixing 0.03 K-1, temperature dependence of air pressure-induced line shift 2x10-7 cm-1atm-1K-1. In case the speed-dependence was calculated from polynomials of gamma2/gamma0 vs gamma0 the systematic uncertainty is estimated to be 10%.

Experiment to measure the thickness loss due to corrosion of a 5mm uncoated steel sample exposed close to the shore during 6 months

This is the data obtained during a experiment conducted in Grand Canary Island close to the shore to collect data using CEIT's ultrasound sensor node attached to a 5mm uncoated steel sample. We collected during 6 months the measured thickness taking two measures per day. The sample was considerably degraded during that time. The estimated Corrosion Rate (134um/year) was in coherence with the typical corrosion rates in real environments (100-200um/year).

Measurement Dataset of Thermal Fault Emulation of a 46Ah High-Power Kokam Nano Pouch Cell via Uniform and Local Heating

<h1>Preface</h1> This dataset contains experimental data that supplement the article Thermal fault detection by changes in electrical behaviour in lithium-ion cells (<a href="https://doi.org/10.1016/j.jpowsour.2021.229572" target="_blank" rel="noopener">10.1016/j.jpowsour.2021.229572</a>) in the Journal of Power Sources. This dataset extends the already published cell characteristics (see <a href="https://doi.org/10.17632/g443f7cn7p.2" target="_blank" rel="noopener">10.17632/g443f7cn7p.2</a>) by all measured quantities associated with the conducted study. Therefore, the dataset includes sensor readings that have not been described in the before mentioned documents due to space limitations. The published data belongs to the master thesis Development of a model-based method for the early detection of safety-critical heating of lithium-ion cells (transl.), Klink (2020), TU Clausthal that is connected to a study thankfully funded by the European Automobile Manufacturers' Association (ACEA). <h1>Structure</h1> The repository is subdivided in four directories (.zip) based on the content. Within these directories, the individual datasets can be found. While every dataset contains three different file types, the corresponding files can be identified based on the identical filenames. The following file types are provided: <table> <tbody> <tr> <td>File type</td> <td>Content</td> <td>Comment</td> </tr> <tr> <td>*.png</td> <td>Simple graph of the provided data.</td> <td>Missing values are interpolated.</td> </tr> <tr> <td>*.csv</td> <td>Tabular data of the dataset.</td> <td>Columns are separated by ";", the decimal point is ".".</td> </tr> <tr> <td>*.pickle</td> <td>Pickled object of a <a href="https://pandas.pydata.org/docs/index.html" target="_blank" rel="noopener">pandas</a> dataframe (Python) of the data. Preserve index and data types.</td> <td>Pickled with pandas version 2.2.2 using the pickle protocol 5</td> </tr> </tbody> </table> The index and column names of the tabular time series have the following name scheme: X_Y_Z  <table> <tbody> <tr> <td>Placeholder</td> <td>Description</td> <td>Example</td> </tr> <tr> <td>X</td> <td>Quantity symbol</td> <td>U for voltage, I for current</td> </tr> <tr> <td>Y</td> <td>[optional] Additional index</td> <td>meas for measured quantities</td> </tr> <tr> <td>Z</td> <td>Unit</td> <td>s for seconds, V for volt</td> </tr> </tbody> </table> <h1>Content</h1> The dataset contains the data of both experiments for validation and for investigation of the fault characteristics of the conducted thermal abuse test. While the electrical quantities have been recorded using a battery test stand from Keysight/Scienlab (SL60/200/12BT4C) the temperature readings have been measured by type K thermocouples and recorded with data logger from PCE instruments. For all tests, the temperature sample rate has been set to 1 Hz. Please refer to the attached schematics in SensorPositions.zip for the placement of the individual thermocouples. In addition, T_5 represents the surrounding and T_2 is on the backside of T_1. The sensor positions T_7 and T_8 are added only for the uniform heating where T_7 is located between heating element and cell and T_8 central at the heating plate. Within the referenced article, only T_1 has been used.  For details on the experimental setup, please refer to the method section of the linked article.  <h2>1. Validation</h2> <table> <tbody> <tr> <td>Description</td> <td> </td> <td>The data contains the electrical load of the cell with an extended WLTC driving cycle that has been scaled to approx. 400 A as well as the corresponding temperature at T_1. The test was conducted within a climatic chamber at 20°C. This data can be used to either parameterize a model of the cell or to validate a model based on other parameter such as the linked parameter set.</td> </tr> <tr> <td>Columns</td> <td>t_s</td> <td>Test time in seconds</td> </tr> <tr> <td> </td> <td>I_meas_A</td> <td>Applied current for WLTC emulation</td> </tr> <tr> <td> </td> <td>U_meas_V</td> <td>Voltage response of cell</td> </tr> <tr> <td> </td> <td>T_meas_C</td> <td>Cell surface temperature</td> </tr> </tbody> </table> <h2>2. ThermalCalibration</h2> <table> <tbody> <tr> <td>Description</td> <td> </td> <td>For each heating setup (uniform, local) this directory contains one data set. Within this experiment, the cell was pulsed with short high current (150 A) pulses to achieve a constant thermal heating power without changing the SOC. Based on the temperature response, a thermal model can be parameterized for both heating setups. Please note, that the electrical sample rate was higher and no interpolation was conducted. </td> </tr> <tr> <td>Columns</td> <td>t_s</td> <td>Test time in seconds</td> </tr> <tr> <td> </td> <td>I_meas_A</td> <td>Applied current</td> </tr> <tr> <td> </td> <td>U_meas_V</td> <td>Voltage response of cell</td> </tr> <tr> <td> </td> <td>T_?_C</td> <td>Temperature reading of sensor ?. See above for description of the individual sensor positions. </td> </tr> </tbody> </table> <h2>3. UniformThermalFault</h2> <table> <tbody> <tr> <td>Description</td> <td> </td> <td>During cycling the cell with a continuous WLTC cycle, the thermal fault was induced by activation of the heating element. After multiple cycles, the cell went into thermal runaway during a charging procedure. Please note, that in the end, the test was disrupted multiple times due to problems induced by the high temperatures. Temperature readings of 9999°C (Upper range) due to sensor failure have been replaced by NaN. Since the heating is started delayed into the second WLTC cycle, the first cycle can be used as reference for normal operation.</td> </tr> <tr> <td>Columns</td> <td>t_s</td> <td>Test time in seconds</td> </tr> <tr> <td> </td> <td>I_meas_A</td> <td>Applied current</td> </tr> <tr> <td> </td> <td>U_meas_V</td> <td>Voltage response of cell</td> </tr> <tr> <td> </td> <td>T_?_C</td> <td>Temperature reading of sensor ?. See above for description of the individual sensor positions. </td> </tr> </tbody> </table> <h2>4. LocalThermalFault</h2> <table> <tbody> <tr> <td>Description</td> <td> </td> <td> During cycling the cell with a continuous WLTC cycle, the thermal fault was induced by activation of the heating element. After multiple cycles, a charging process and observation, no thermal runaway occurred. Please note, that in the end, the test was disrupted multiple times due to problems induced by the high temperatures. It seems that the heat transfer into the cell could have been optimized, as shown by the relatively low cell temperature despite the hot heating element. Nevertheless, this experiment can be used to investigate online detection of small cell changes due to local heating - even without thermal runaway. Since the heating is started delayed into the second WLTC cycle, the first cycle can be used as reference for normal operation. </td> </tr> <tr> <td>Columns</td> <td>t_s</td> <td>Test time in seconds</td> </tr> <tr> <td> </td> <td>I_meas_A</td> <td>Applied current</td> </tr> <tr> <td> </td> <td>U_meas_V</td> <td>Voltage response of cell</td> </tr> <tr> <td> </td> <td>T_?_C</td> <td>Temperature reading of sensor ?. See above for description of the individual sensor positions. </td> </tr> </tbody> </table>

Data: Measurement of Darkness

This file contains the data and minimal working example code for the results underlying the manuscript: "Direct measurement of darkness using a standard single-photon avalanche photodiode" JOSA A 42:506/arXiv: 2410.06691 authored by T.H.A. van der Reep, D. Molenaar and W. Löffler See README in file for instructions.

Evaluation of DEM simulations measuring internal friction and particle movement

The data contains evaluated data from particle motion simulations during the internal friction test using a rotary shear cell. These are several models with different input parameters. The data includes a version of a scientific article on the subject.

Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)

Summary:          Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.          The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.

openodc-byOct 2024View details →

Magnetic arch plasma expansion in a cluster of two ECR plasma sources (RPA and FC measurements)

- Data from: Magnetic arch plasma expansion in a cluster of two ECR plasma sources (RPA and FC measurements) - Authors: Célian Boyé, Jaume Navarro-Cavallé, Mario Merino - Contact email: <a href="mailto:cboye@ing.uc3m.es" target="_blank" rel="noopener">cboye@ing.uc3m.es</a> - Date: 2024-10-24 - Version: 1.0 - License: This dataset is made available under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a>   <h2>Abstract</h2> This dataset contains the raw experimental data employed in: Célian Boyé, Jaume Navarro-Cavallé, Mario Merino, "Magnetic arch plasma expansion in a cluster of two ECR plasma sources", Journal of Electric Propulsion. Which is currently submitted.   <h2>Dataset description</h2> The experimental data is gathered by means of a Retarding Potential Analyzer (RPA) and a Faraday Cup (FC). The probes have been set on a polar probing arm system to scan the central horizontal plane of the setup, aligned with the axis of symmetry of the assembly and pointing toward the origin at the exit plane of the source(s). The RPA data is provided separately for every spatial position inspected for each configuration (S0, S1, D0, DA, DB). It is collected by means of an Impedance-Semion Retarded Potential Analyser, with a mean resolving voltage of 1V. The FC data is provided for the DA configuration to support the RPA measurements.  Please refer to the corresponding article for further details regarding the data collection.   <h2>Data files</h2> The data files are in standard comma separated values .csv format. Many programming languages provide functionalities to load such fields. <ul> <li> <h3>RPA data</h3> </li> </ul> The RPA data is separated through the different configurations: <ul> <li> <ul> <li>S0: single ECR source without applied magnetic field.</li> <li>S1: single ECR source with applied magnetic field.</li> <li>D0: cluster of ECR sources without applied magnetic field.</li> <li>DA: cluster of ECR sources with opposed polarity.</li> <li>DB: cluster of ECR sources with same polarity.</li> </ul> </li> </ul> The angle steps vary through the different configurations. Each file contains 8 headlines.  <ul> <li> <ul> <li>The first column contains the voltage applied to the sweeping grid (V).</li> <li>The second to sixth columns contain the current collected by the collector (A).</li> <li>The eventh to eleventh columns contain the derivative of the collected current by the voltage (A/V).</li> </ul> </li> </ul> <ul> <li> <h3>FC data</h3> </li> </ul> The FC data has been probed for the DA configuration. The file contains 2 headlines. <ul> <li> <ul> <li>The first column contains the angle at which the current has been collected (deg).</li> <li>The second column contains the distance from the origin at the exit plane of the cluster (mm).</li> <li>The third column contains the collected current (A).</li> </ul> </li> </ul>   <h2>Citation</h2> Works using this dataset or any part of it in any form shall cite it as follows. The preferred means of citation is to reference the publication associated to this dataset, as soon as it is available. Optionally, the dataset may be cited directly by referencing the corresponding DOI: 10.5281/zenodo.13987138   <h2>Acknowledgments</h2> This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (project ERC-STG ZARATHUSTRA, grant agreement No 950466).

Combined data offline measurements_WIDER UPTAKE

Raw data from offline measurements at the WIDER UPTAKE H2020 project's case study site in the Czech Republic.

Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)

Summary:          Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.          The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.