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2,281 results for “laboratories”
Dataset supporting publication: Design Framework and Laboratory Experiments for Helix and Slinky Type Ground Source Heat Exchangers for Retrofitting Projects
<p>Dataset supporting publication: “Design Framework and Laboratory Experiments for Helix and Slinky Type Ground Source Heat Exchangers for Retrofitting Projects” (publication available for download: <a href="https://zenodo.org/record/7436458">GEOFIT Zenodo</a>).</p> <p>The focus of the experimental work was on shallow spiral geothermal heat exchanger configurations. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in sand and soil. One objective was to develop a measurement concept in laboratory environment to create a framework for a validated database. This database serves as the basis for further and new development of engineering design tools. To achieve the highest possible data-point density in the observed environment, temperature sensors and a fiber-optic temperature measurement system (DTS) were used. Soil probes were taken in situ before and after the measurements and analyzed at a thermophysical laboratory to determine material properties. The heat flow was controlled by an electric heating cable, which was installed in the form of a spiral-shaped heat exchanger in a 1 m³ container. To guarantee constant boundary conditions, the measurements were carried out in a climate chamber at a defined ambient temperature. The evaluation of the transient response behavior is spatially resolved. The results are coordinate-based temperature points, which describe temperature gradients in all axes of the container over time, which are combined with known soil properties. The collected data was used to develop computational fluid dynamic (CFD) models, which are used to extend the variety of geometry and soil configurations for developing new design tools.</p>
Phantom imaging data and analysis macros for the article "Monochromatic computed tomography using laboratory-scale setup"
<p>The raw and processed data and analysis macros of the article <em>A.-P.</em> <em>Honkanen et S. J. Huotari, Monochromatic computed tomography using laboratory-scale setup, Scientific Reports (2023), doi:<a href="http://doi.org/10.1038/s41598-023-27409-6">10.1038/s41598-023-27409-6</a></em></p> <p>The data set consists of the raw and reconstructed computed tomography projection data taken of an PMMA phantom embedded with three different chemical species of selenium taken with a monochromatic X-ray imaging setup based on a laboratory-scale Johann-type crystal X-ray spectrometer. In addition to the imaging data, the set contains also the Jupyter Notebooks used to process and analyse the data. The details of the instrument and the analysis are presented in the article.</p> <p>The dataset is licensed under Creative Commons Attribution 4.0 International License <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
RoboFinch: a versatile audio-visual synchronized robotic bird model for laboratory and field research on songbirds
<p>Raw data and R script for the behavioral data published in the Journal Methods in Ecology and Evolution with the title: RoboFinch: a versatile audio-visual synchronized robotic bird model for laboratory and field research on songbirds</p> <p>All data and source files for the RoboFinch construction can be found here: https://doi.org/10.5281/zenodo.7520589</p> <p> </p>
Data from laboratory granular-flow experiments with acoustic sensors
<p>Experimental data of dynamic pressures generated by dry granular flows moving down and impacting on a plate embedded in an inclined chute facility. The data consists of basal impact pressures measured with a pressure sensor for variable slope angle ranging from 30° to 38° with an initial mass of 100 kg.</p>
Transformer Inrush Measurements in a Distribution Grid Laboratory
<p>This data set contains measurement data of distribution transformer inrush transients obtained in the Distribution Grid Laboratory at the IAEW at RWTH Aachen University. Within the framework of the investigations, a medium voltage feeder with one or multiple medium/low voltage transformers is energised. The setup is either supplied by the public medium voltage grid or by a grid-forming converter. In the latter case, grid voltage distortions can be observed during the inrush transient due to output current limitation of the converter.</p> <p>The inrush measurements were carried out within the framework of the project DiSCo (Distribution System Inrush From Grid-Forming Converters). The authors gratefully acknowledge funding by E.ON SE as well as the technical support in development, execution and analysis of the experimental investigations by Westnetz GmbH. In addition, we would like to thank the colleagues of the Institute for Power Generation and Storage Systems (PGS) for their support and the informative discussions.</p>
Dataset in support of "Laboratory wave and stress measurements quantify the aerodynamic sheltering in extreme winds" by Tan et al. (2023, JGR: Oceans)
<p><strong>Data introduction:</strong></p> <p> There are three datasets used in this research: dataset 1 from Wind-Only (WO) experiment, dataset 2 from JONSWAP experiment with 10-cm significant wave height (J10), and dataset 3 from monochromatic wave experiment with 7.5-cm amplitude (M7.5).</p> <p> Each dataset contains quality-controlled data of the respective experiment mentioned above. The data files are in the mat (MATLAB) format. There are 9 mat files in each dataset, and each file represents data collected under a specific wind forcing condition, with the fan frequency in the 10-50 Hz range with 5 Hz interval.</p> <p> Each file contains four variables: <em>seg</em> (water elevation time series collected by the wave-wire with the units of <em>m</em>, demeaned and detrended), <em>U</em> (along-tank, downwind component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), <em>V</em> (cross-tank component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), and <em>W</em> (vertical component of wind collected by the IRGASON anemometer with the units of m/s). All four variables were collected at a sampling frequency of 20 Hz.</p>
Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution - Part B - Particle Number Concentrations - Dataset
<p>This repository contains the data used for the analysis of the paper "Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution - Part B - Particle Number Concentrations (PNC)" which is under submission.</p> <p> </p> <p>The experimental conditions and the instruments used are detailed in Bulot, F.M.J.; Russell, H.S.; Rezaei, M.; Johnson, M.S.; Ossont, S.J.J.; Morris, A.K.R.; Basford, P.J.; Easton, N.H.C.; Foster, G.L.; Loxham, M.; Cox, S.J. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution. <em>Sensors</em> <strong>2020</strong>, <em>20</em>, 2219. https://doi.org/10.3390/s20082219</p> <p>The files are available in .csv and in .rds (for R) formats. For details about the measurement equipment used<br> during this study, please refer to the methods section of the paper.</p> <p> </p> <p>sensors_raw.csv contains the following headers:</p> <ul> <li>Bin0 to Bin15: Alphasense OPC-R1 particle number concentrations for different size bins</li> <li>Bin[1-3-5-7]MToF: mean time of flight of particles within the corresponding size bins of the Alphasense OPC-R1</li> <li>Checksum: checksum of the Alphasense OPC-R1</li> <li>SFR: sample flow rate of the Alphasense OPC-R1</li> <li>Humidity: relative humidity measured by the Alphasense OPC-R1</li> <li>Temperature: temperature measured by the Alphasense OPC-R1</li> <li>SamplingPeriod: sampling period of the Alphasense OPC-R1</li> <li>gr03um, gr05um, gr10um, gr25um, gr50um, gr100um: PNC measured by the Plantower PMS5003</li> <li>n05, n1, n25, n4, n10: PNC measured by the Sensirion SPS30</li> <li>humidity: relative humidity measured by a Sensirion SHT-3x</li> <li>temperature: temperature measured by a Sensirion SHT-3x</li> <li>sensor: id of the sensors</li> <li>site: name of the air quality monitor hosting the sensors</li> <li>exp: name of the experiment conducted</li> <li>source: source used to generate PM (incense or candle)</li> <li>variation: whether the sensors were exposed to stable or peak concentrations of PM pollution</li> <li>date: date in format yyyy-mm-dd HH:MM:SS</li> </ul> <p>For more explanations about the fields of individual sensors, please refer to their manual (Alphasense OPC-R1: https://kolegite.com/EE_library/datasheets_and_manuals/sensors/OPC/072-0500_OPC-R1_manual_issue_1_250219.pdf ; Plantower PMS5003: https://www.aqmd.gov/docs/default-source/aq-spec/resources-page/plantower-pms5003-manual_v2-3.pdf ; Sensirion SPS30: https://sensirion.com/products/catalog/SPS30/)</p> <p> </p> <p>ops.csv and ops.rds contains the readings from the OPS with the following cut sizes for the bins:</p> <ul> <li>Bin 1 Cut Point (um),0.300</li> <li>Bin 2 Cut Point (um),0.374</li> <li>Bin 3 Cut Point (um),0.465</li> <li>Bin 4 Cut Point (um),0.579</li> <li>Bin 5 Cut Point (um),0.721</li> <li>Bin 6 Cut Point (um),0.897</li> <li>Bin 7 Cut Point (um),1.117</li> <li>Bin 8 Cut Point (um),1.391</li> <li>Bin 9 Cut Point (um),1.732</li> <li>Bin 10 Cut Point (um),2.156</li> <li>Bin 11 Cut Point (um),2.685</li> <li>Bin 12 Cut Point (um),3.343</li> <li>Bin 13 Cut Point (um),4.162</li> <li>Bin 14 Cut Point (um),5.182</li> <li>Bin 15 Cut Point (um),6.451</li> <li>Bin 16 Cut Point (um),8.031</li> <li>Bin 17 Cut Point (um),10.000</li> </ul> <p>nanotracer.csv and nanotracer.rds contain the measurements from the Nanotracer:</p> <ul> <li>N.1.: particles/cm3</li> <li>dp_avg.1.: mean diameter of the particles (nm)</li> <li>P.1.:</li> <li>S_al.1.: Lung Deposited Surface Area in um2/cm3</li> </ul> <p> </p> <p>experimental_conditions.csv and experimental_conditions.rds contain the end dates and start dates of each of the experiment conducted.</p> <p> </p> <p> </p> <p>"pm100_cf1","pm10_cf1","pm25_cf1"</p> <p> </p> <p> </p>
Geomechanical laboratory investigation for the Eptachori, Pentalofos and Tsotyli formations in West Macedonia
<p>The data comprises work under the Project Pilot Strategy GA No. 101022664, funded by the European Union. </p> <p>The work relates to rock samples collected in 2022 in West Macedonia, Greece. For full details, please refer to the following:</p> <ol> <li>Tsotyli formation: <a href="https://app.geosamples.org/sample/igsn/IE5770001">https://app.geosamples.org/sample/igsn/IE5770001</a> - <strong>WGS84 Lat : 40.3075, </strong><strong>WGS84 Long : 21.3354</strong></li> <li>Pentalofos formation: <a href="https://app.geosamples.org/sample/igsn/IE5770002">https://app.geosamples.org/sample/igsn/IE5770002</a> - <strong>WGS84 Lat : 40.1332,</strong> <strong>WGS84 Long : 21.1997</strong></li> <li>Eptachori formation: <a href="https://app.geosamples.org/sample/igsn/IE5770003">https://app.geosamples.org/sample/igsn/IE5770003</a> - <strong>WGS84 Lat : 40.1332, </strong><strong>WGS84 Long : 21.1997</strong></li> </ol> <p>The focus of the work is related to CO2 storage in appropriate saline aquifers in West Macedonia. The bulk samples were shipped to IFP Energies for porosity and permeability laboratory investigation conducted by Nuclear Magnetic Resonance techniques (DOI:10.5281/zenodo.7777217). An additional set of samples were shipped to the Institute of Earth Sciences and the Department of Geosciences of the University of Évora for Geomechanical laboratory investigation for the Eptachori, Pentalofos and Tsotyli formations in West Macedonia. The Geomechanical investigation included Dynamic Elasticity Modulus, Point load and Schmidt Hammer measurements for samples collected from the Eptachori, Pentalofos and Tsotyli formations in West Macedonia. The data from this investigation are presented here.</p> <p> </p>
Data for: Wall fracturing versus mechanical instability as competing intrusion mechanisms of dikes: Insights from laboratory experiments
<p class="MsoNormal"><span>Igneous dike intrusion is a primary crust-forming process. Understanding its governing mechanism is very crucial for studies related to the lithosphere. We performed liquid injection experiments in the laboratory with two new crust analog model materials, i) ultrasound transmission gel (<em>USTG</em>) and gel wax. To conduct a properly scaled model experiment, we test their rheology using an <em>Anton Paar M302e</em> rheometer. The measured rheological data were presented in this present data repository. We identified three mechanisms from our laboratory studies: a) fracturing, b) interfacial instability, and c) hybrid, i.e., a combination of both. These three mechanisms give rise to distinct 3D geometries. To quantitatively analyze their geometric shapes, we performed fractal, aspect ratio, and skewness-kurtosis analysis. The procedure and the data collected during the analysis were also presented in the current data repository. </span></p>
Time-Lapse Self-Potential Signals from Microbial Processes: a Laboratory Perspective
<p>#Datasets for 3D self-potential monitoring experiments for microbial processes under laboratory-controlled conditions</p> <p>The three datasets presented here are the measured time-lapse self-potential (SP) data described in the paper 'Time-Lapse Self-Potential Signals from Microbial Processes: a Laboratory Perspective'.</p> <p>The data contains three SP datasets and resistivity data. Each SP dataset contains 193 columns, the data in the first column is the time and the unit is seconds, and columns 2 to 193 are SP data in mV corresponding to the 192 electrode measurements.</p> <p>1) Stability test in water: The measured data is named water_background_data.txt, which record the time-lapse SP signals measured by the SP monitoring system in the stability test experiment.</p> <p>2) Microbial Processes monitoring experiment 2: The measured data is named Experiment2_data.txt, which record the time-lapse SP signals measured by microbial processes in organic matter.</p> <p>3) Microbial Processes monitoring experiment 3: The measured data is named Experiment3_data.txt, which record the time-lapse SP signals measured by microbial processes in organic matter.</p> <p>4) Resistivity data: The measured data is named Resistivity_measurement_data.txt, which record three experimental materials' resistivity measured by the DER25718 instrument.</p>
Energetic Valorisation of Saltworks Bitterns via Reverse Electrodialysis: A Laboratory Experimental Campaign
<p>Concentrated bitterns discharged from saltworks have extremely high salinity, often up to 300 g/L, thus their direct disposal not only has a harmful effect on the environment, but also generates a depletion of a potential resource of renewable energy. Here, reverse electrodialysis (RED), an emerging electrochemical membrane process, is proposed to capture and convert the salinity gradient power (SGP) intrinsically conveyed by these bitterns also aiming at the reduction of concentrated salty water disposal. A laboratory-scale RED unit has been adopted to study the SGP potential of such brines, testing ion exchange membranes from different suppliers and un-der different operating conditions. Membranes supplied by Fujifilm, Fumatech, and Suez were tested, and the results were compared. The unit was fed with synthetic hypersaline solution mimicking the concentration of natural bitterns (5 mol/L of NaCl) on one side, and with variable concentration of NaCl dilute solutions (0.01–0.1 mol/L) on the other. The influence of several op-erating parameters has also been assessed, including solutions flowrate and temperature. In-creasing feed solutions’ temperature and velocity has been found to lower the stack resistance, which enhances the output performance of the RED stack. The maximum obtained power density (corrected to account for the effect of electrodic compartments, which can be very relevant in five cell pairs laboratory stacks) reached around 10.5 W/m2cellpair, with FUJIFILM Type 10 membranes, temperature of 40 °C, and a fluid velocity of 3 cm s−1 (as empty channel, considering 270 m thickness). Notably, the present study results confirm the large potential for SGP generation from hypersaline brines, thus providing useful guidance for the harvesting of SGP in seawater saltworks all around the world.</p>
Conduction of fate studies in laboratory-made sausages
<p>Video demonstrating the steps followed for the conduction of fate studies of a foodborne pathogen in laboratory-made sausages. Training demonstration video produced in the premises of the Mountain Research Centre (CIMO-IPB), and elaborated as part of the ArtiSaneMethods Pack.</p>
Fig. 1 in Effect of temperature and substrate moisture on group survival of Constrictotermes sp. (Isoptera: Termitidae) under laboratory conditions
Fig. 1. Survival of Constrictotermes sp. in different combinations of temperature and substrate moisture (mL of water/7 g of nest substrate). Different letters in each graphic mean significant difference among treatments of humidity.
Data for "Sr/Ca in shells of laboratory-grown bivalves (Arctica islandica) serves as a proxy for water temperature – Perspectives for (paleo)environmental research?"
<p>This repository contains all data generated for the publication "Sr/Ca in shells of laboratory-grown bivalves (<em>Arctica islandica</em>) serves as a proxy for water temperature – Perspectives for (paleo)environmental research?" currently under review.</p>
NPL EN 1911 laboratory performance ILC dataset
<p>Dataset from a blind ILC for the laboratory analysis of EN 1911 samples carried out by NPL in 2021. 14 test samples were sent to 7 ISO 17025 accredited laboratories for analysis. The anonymised results and laboratory supplied uncertainties are included in this dataset. Further information is included in the metadata tab of the file.</p>
Experimental data for "Fragmentation of ice particles: laboratory experiments on graupel-graupel and graupel-snowflake collisions"
<p>Graupel-graupel and graupel-snowflake collisions<br> experiments were carried out in still air conditions in the cold room of the Wind tunnel laboratory of the<br> Johannes Gutenberg University, Mainz. Graupel particles were first exposed to supersaturated air conditions, under which dendritic ice crystals have grown on their surface.<br> All fragments resulting from graupel-graupel collisions were<br> collected and investigated under a digital microscope. Fragments resulting from graupel-snowflake collisions were observed and recorded instantly after collision using a<br> holographic instrument. Number, size, area, and aspect ratio distributions of fragments were derived. </p> <p>These files contain data collected during the graupel-graupel and graupel-snowflake collisions. These data served for generating the figures in the publication.</p> <p>The files Graupel_graupel_number_CKE_mass_size.csv and Graupel_snowflake_CKE_mass_size give information on the experimental properties of the graupel-graupel and graupel-snowflake collisions, respectively.<br> For these two files, the first column gives the name of the experiment (e.g. snow1). Each line is corresponding to one collision experiment.</p> <p>The concrete data for each collision experiment is provided in the data file having the corresponding name, e.g., snow_data1.csv contains the data of collision experiment snow1, etc.</p> <p>Readme_graupel_data.txt and Readme_snow_data.txt contain collision kinetic energies of graupel-graupel and graupel-snowflake collisions, respectively.</p> <p>Graupel_crystal_surface.csv gives the estimated number of crystal for defined bins (Fig. 12 dashed line) on the surface of the 2 mm graupel before the collision.</p> <p> </p>
Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Université Gustave Eiffel/GERS/SRO
<p>Data from monotonic and triaxial tests obtained during the thesis :</p> <p>Gobbi, S. Caractérisation de paramètres mécaniques d'un sol saturé à partir d'essais de laboratoire et calibration de lois de comportement sous charge dynamique par modélisation numérique, PhD thesis, Université Gustave Eiffel, 2020</p> <p>https://theses.hal.science/tel-03268600</p> <p> </p>
Craving money? Evidence from the laboratory and the field
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Differential selection for survival and for growth in adaptive laboratory evolution experiments with benzalkonium chloride
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Data for: Wall fracturing versus mechanical instability as competing intrusion mechanisms of dikes: Insights from laboratory experiments
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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.
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.
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.
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.
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.