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2,281 results for “laboratories”
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Latvia
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_LV - Institute of Food Safety, Animal Health and Environment (BIOR)</li> <li>ASF2023_LV - Institute of Food Safety, Animal Health and Environment (BIOR)</li> <li>ASF2022_LV - Institute of Food Safety, Animal Health and Environment (BIOR)*</li> <li>ASF2022_LV - Institute of Food Safety, Animal Health and Environment (BIOR)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Hungary
<p>This dataset contains ASF laboratory analytical results in wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_HU - National Food Chain Safety Office (NFCSO)</li> <li>ASF2023_HU - National Food Chain Safety Office (NFCSO)</li> <li>ASF2022_HU - National Food Chain Safety Office (NFCSO)*</li> <li>ASF2022_HU - National Food Chain Safety Office (NFCSO)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Poland
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_PL - National Veterinary Research Institute (PIWET-PIB)</li> <li>ASF2023_PL - National Veterinary Research Institute (PIWET-PIB)</li> <li>ASF2022_PL - National Veterinary Research Institute (PIWET-PIB)*</li> <li>ASF2022_PL - National Veterinary Research Institute (PIWET-PIB)</li> </ul> <p> </p> <p> </p> <div> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p> <p> </p> </div>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Sweden
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_SE - National Veterinary Institute</li> <li>ASF2023_SE - National Veterinary Institute</li> </ul>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Italy
<p>This dataset contains ASF laboratory analytical results in domestic pigs and wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2023_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2022_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)*</li> <li>ASF2022_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Germany
<p>This dataset contains ASF laboratory analytical results in wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2023_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)*</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Strain and slip data for Kinematic inversion of fault slip during the nucleation of laboratory earthquakes
<p>The file contains the timeseries of strain and average slip obatined from a 8 gauges array used to monitor an injection experiment on a saw-cut centimetric scale sample loaded in a triaxial cell, under 30 MPa, 60 MPa and 90 MPa of confining stress.</p>
The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark
<p>The data support the manuscript entitled "The Reactivation of Decayed Positive Leader with Sudden Channel Elongation in Laboratory Long Spark". The *.rar file contains all data used therein and can be decompressed and opened, where these file folders contain the data corresponding to their respective Figures, as they are named. The data can be used freely for scientific purposes with appropriate citation.</p>
Dataset: Survey on the actual situation of antibiotic resistant bacteria detection by nucleic acid amplification test in clinical microbiology laboratories at hospitals in Japan: Online survey of participants in workshops organized by the Nara Association of Medical Technologists
<p>The coronavirus disease 2019 pandemic has led to the widespread use of the nucleic acid amplification test (NAAT), along with an increase in demand for SARS-CoV-2 tests. NAAT has been used to detect antimicrobial resistance (AMR) genes since before the pandemic, but the test has been performed in a limited number of facilities. We investigated the current status and background of Japanese clinical laboratories by surveying the implementation of genotypic AST in NAAT, which has become widespread owing to the pandemic. This means that 59% of the respondents possessed NAAT and were using it for genotypic AST. GeneXpert and FilmArray were introduced in the majority of cases (62.5% and 82.6%, respectively), with the pandemic as the trigger. More than half of the respondents cited “rapid detection” (56.0%) and “ICT requests” (52.4%) as the reasons for introducing the system. Regarding usefulness, “contribution to infectious disease treatment” (74.1%) showed the highest percentage. Among the respondents who cited “not implemented”, the most frequent responses were “I have no plans, but I want to do it.” (38.1%) and “would do so if requested by a physician” (33.3%). The most common reason for not implementing the system was concern about increased workload (52.9%). We believe that this is due to changes in the working environment caused by the pandemic and the characteristics of Japanese society. In the future, to promote the adoption of genotypic AST, it will be necessary to approach it through reports on its usefulness from domestic facilities, and simultaneously, improving and enhancing efficiency in work processes will also be essential.</p>
Using Old Laboratory Equipment with Modern Web-of-Things Standards: a Smart Laboratory with LabThings Retro. Supplementary material - Video demonstration
<p>Supplementary Material for 'Using Old Laboratory Equipment with Modern Web-of-Things Standards: a Smart Laboratory with LabThings Retro'. </p><p>Video demonstration for LabThings Retro. </p><p>This video has no sound.</p>
A laboratory scan in the Univeristy of Alicante, Spain
<p>A laboratory scan is available for students to observe how a 3D laser scanner works. The scan and target coordinates are included in the files.</p>
A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids from four different clones
<p>This dataset is presented in the paper <strong><span>A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids from four different clones</span></strong></p> <p> </p> <p>This dataset encompasses two sources of data:</p> <ol> <li>A comma-separated values ('CSV') file. This file serves as a key to our dataset with one image per row. Each image is represented by its image identifier ('img_id') with the format [org_id]_[clone]_d[imaging_day]_[imaging_lab]. For each image, the CSV file also specifies the organoid size for convenience. Alternatively, the organoid size can be calculated using the ground truth organoid segmentation (org_segGT). </li> <li>For each row of the CSV file, we provide the image and org_segGT. For Lab A, the images are in JPEG format. For lab B, the images are in TIF format. Org_segGT is a manually created binary 2D NumPy array with the same size as the image (1024 x 768 for lab A, 1388 x 1040 for lab B). A value of 1 in org_segGT at position (x, y) means that the same position (x, y) in the corresponding image is covered by the organoid. The image file and the org_segGT file have the following format: [img_id].[jpg|tif] and [img_id].npy. For day 12, organoids were imaged before and after embedding from 96-well plates in 12-well plates, allowing the investigation of well-specific optical properties.</li> </ol> <p>For segmentation and growth monitoring using this dataset, please see <a href="https://github.com/deiluca/robust_monitoring_organoid_growth">https://github.com/deiluca/robust_monitoring_organoid_growth</a>.</p>
Detailed Controller Synthesis and Laboratory Verification of a Matching-Controlled Grid-Forming Inverter for Microgrid Applications
<p><strong>Figure5 Blackstart:</strong><br>BS->blackstart<br>noload/min/inter->Initial load<br>U4 -> Voltage waveforms<br>Udq-> Voltage dq values</p> <p><strong>Figure6 Stat<br></strong>data_sati_voltage3 -> Current and voltage waveforms<br>THD -> THD values<br><br><strong>Figure7 Trans:</strong></p> <p>Trans4to7kwdq-> dq values<br>Trans4to7kwPower->P and Q values<br>Trans4to7kwUI->Waveforms</p> <p><strong>Figure8 DCSens:</strong><br>Test1-14 -> Tests corresponding to DC bus sensitivity<br>p/i min/max -> identifier wether p or i value were increased/decreased</p> <p><strong>Figure9 ACsens:</strong><br>AC0-22 -> Tests corresponding to AC sensitivity</p> <p> </p>
Laboratory press
ID no. 845 "Laboratory press" Museum: The Museum of Pharmacy at the Jagiellonian University Medical College in Kraków https://muzea.malopolska.pl/en/objects-list/562 Digitalisation: RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab
Combining transinfected Wolbachia and a genetic sexing strain to control Aedes albopictus in laboratory-controlled conditions
<p>The global expansion of <em>Aedes albopictus</em> has stimulated the development of environmental-friendly methods aiming at controlling disease transmission through the suppression of natural vector populations. Sterile male release programs are currently being deployed worldwide, and are challenged by the availability of an efficient sex separation that can be achieved mechanically at the pupal stage and/or by artificial intelligence at the adult stage, or through genetic sexing, which allows separating males and females at an early development stage. In this study, we combined the genetic sexing strain (GSS) previously established based on the linkage of dieldrin resistance to the male <em>locus</em> with a <em>Wolbachia</em> transinfected line. For this, we introduced either the <em>w</em>Pip-I or the <em>w</em>Pip-IV strain from <em>Culex pipiens </em>in an asymbiotic-Wolbachia-free <em>Ae</em>. <em>albopictus</em> line. We then measured the penetrance of CI and life history traits of both transinfected lines, selected the <em>w</em>Pip-IV line, and combined it with the GSS. Population suppression experiments demonstrated a 90% reduction in population size and a 50% decrease in hatching rate. Presented results showed that such a combination has a high potential in terms of vector control but also highlighted associated fitness costs, which should be reduced before large-scale field assay.</p>
Data for "Laundry to Laboratory: Automated Image Analysis for the Characterization of Fibrous Microplastics"
<p>This repository contains a representative subset of filter paper images used to evaluate the various experimental conditions in the manuscript "Laundry to Laboratory: Automated Image Analysis for the Characterization of Fibrous Microplastics." </p>
Data and codes for "Chapter 2: Particle-laden gravity currents: the lock-release slumping regime at the laboratory scale"
<div> <div> <h1>PALAGRAM Monograph</h1> </div> <p>This repository contains the data used in the book chapter:</p> <blockquote> <p>Gadal, C., Schneider, J., Bonamy, C., Chauchat, J., Dossmann, Y., Kiesgen de Richter, S., Mercier, M.J., Naaim-Bouvet, F., Rastello, M. and Lacaze, L. (2025). <strong>Particle-laden Gravity Currents: The Lock-release Slumping Regime at the Laboratory Scale.</strong> In Particulate Gravity Currents. <a href="https://doi.org/10.1002/9781394216727.ch2">10.1002/9781394216727.ch2</a></p> </blockquote> <div> <h2>Repository organization</h2> </div> <div> <pre><code> palagram_monograph │ └───data: data are stored here │ └───input_data: input data as sent by everyone │ └─── ... : NETCDF files │ └───output_data: processed data output by analysis.py (also contains input_data) │ └─── ... : NETCDF files └───analysis: └───analysis.py: analysis code, that reads input_data and writes output_data └───paper: contains source files for article │ └───figures: contains source figures │ └─── ... : PDF files │ └─── figure_scripts: contains figure scripts that reads data in data/output_data and writes figures in paper/figures │ └─── *.py : python scripts for figures │ └─── ... : various files (.tex, .bib, ...) │ └─── main.pdf : article preprint </code></pre> <div> </div> </div> <div> <h2>Data organization</h2> </div> <p>The CSV file <code>dataset_summary.csv</code> offers a summary of all runs and corresponding experimental parameters, allowing for easier access to the data.</p> <p>The folder <code>data/output_data</code> contains 287 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:</p> <ul> <li> <p>attributes:</p> <ul> <li>particle_type: particle type used (silica sand, glass beads, etc..)</li> <li>label: filename</li> <li>lab: lab where this run has been performed</li> <li>run_oldID: Old filename, corresponding to the experimental notebook</li> <li>author: author(s) that acquired this run</li> <li>setup: setup used to acquire the data. See article.</li> <li>dataset: Dataset classification of this run, See paper.</li> </ul> </li> <li> <p>dimensions(sizes): time(n)</p> </li> <li> <p>variables(dimensions):</p> <ul> <li>At(): Atwood number</li> <li>Fr(): Froude number (adi. initial current velocity)</li> <li>H0(): initial heavy fluid height inside the lock</li> <li>H_a(): ambient fluid height outside the lock</li> <li>L0(): streamwise lock length</li> <li>L_1(): streamwise tank length after the lock</li> <li>Re(): Reynolds number</li> <li>S(): Settling number</li> <li>St(): Stokes number</li> <li>T_a(): ambient temperature</li> <li>T_f(): heavy fluid temperature inside the lock</li> <li>W0(): crossstream lock width</li> <li>a(): lock aspect ratio</li> <li>alpha(): bottom slope</li> <li>d(): particle diameter</li> <li>gprime(): specific gravity</li> <li>lamb(): adi. attenuation parameter</li> <li>nu_a(): ambient viscosity</li> <li>nu_f(): heavy fluid lock viscosity</li> <li>phi(): initial particle volume fraction inside the lock</li> <li>rho_a(): ambient fluid density</li> <li>rho_c(): heavy fluid mix density inside the lock</li> <li>rho_f():</li> <li>rho_p(): particle density</li> <li>t('time',): time vector</li> <li>t0(): characteristic timescale, t0 = L0/u0</li> <li>u0(): characteristic velocity scale, u0 = sqrt(gprime*H0)</li> <li>vs(): particle Stokes velocity</li> <li>x_front('time',): front position vector</li> </ul> </li> </ul> <p>Variables can sometimes possess the following attributes:</p> <ul> <li>unit: corresponding unit</li> <li>std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the <code>uncertainties</code> module (<a href="https://pythonhosted.org/uncertainties/" rel="nofollow">https://pythonhosted.org/uncertainties/</a>) in Python.</li> <li>comments: comments on the given quantity (definition, formulas, etc ..)</li> </ul> <div> <h2>Related works</h2> </div> <ul> <li> <p>Gadal, C., Schneider, J., Bonamy, C., Chauchat, J., Dossmann, Y., Kiesgen de Richter, S., Mercier, M.J., Naaim-Bouvet, F., Rastello, M. and Lacaze, L. (2025). Particle-laden Gravity Currents: The Lock-release Slumping Regime at the Laboratory Scale. In Particulate Gravity Currents. <a href="https://doi.org/10.1002/9781394216727.ch2">10.1002/9781394216727.ch2</a></p> </li> <li>Gadal, C., Mercier, M. J., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. <em>Journal of Fluid Mechanics</em>, 974, A4. <a href="https://doi.org/10.1017/jfm.2023.762" rel="nofollow">doi:10.1017/jfm.2023.762</a></li> <li> <p>Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Data used in 'Slumping regime in lock-release turbidity currents' [Data set]. In Journal of Fluid Mechanics (Vol. 974, p. A4). <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.10058946" rel="nofollow">https://doi.org/10.5281/zenodo.10058946</a></p> </li> <li> <p>Schneider, J., Dossmann, Y., Farges, O. et al. Investigation of particle laden gravity currents using the light attenuation technique. <em>Exp Fluids</em>, 64, 23 (2023). <a href="https://doi.org/10.1007/s00348-022-03562-y" rel="nofollow">doi:10.1007/s00348-022-03562-y</a></p> </li> <li> <p>Chauchat, J., Cheng, Z., Nagel, T., Bonamy, C., and Hsu, T.-J. (2017) SedFoam-2.0: a 3-D two-phase flow numerical model for sediment transport, <em>Geosci. Model Dev.</em>, 10, 4367-4392, <a href="https://doi.org/10.5194/gmd-10-4367-2017" rel="nofollow">doi:10.5194/gmd-10-4367-2017</a> and <a href="https://github.com/sedfoam/sedfoam">github</a></p> </li> </ul> </div>
Testing nectar price effect on bumblebee feeding by automatized computer-controlled laboratory platform
Open the record for dataset details and reuse information.
Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems
<p>#Data set of "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems"</p> <p>---</p> <p>## GENERAL INFORMATION</p> <p>1. Data set title: "Continuous-Flow Synthesis of BiVO4 Nanoparticles: From laboratory scale to practical systems"</p> <p>2.Authorship: <br> Name: Christian Robles<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0003-1166-2950</p> <p> Name: Laura Montañés<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-1076-013X <br> <br> Name: Camilo A. Mesa<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-8450-2563</p> <p> Name:Diego Iglesias <br> Institution: institute of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-4030-5816</p> <p> Name: Helena Rabelo<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain<br> ORCID: 0000-0002-7773-3929</p> <p> Name: Maria Chiara Spadaro<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain. Department SIMAU, Marche Polytechnic University, 60131, Ancona, Italy.<br> ORCID: 0000-0002-6540-0377<br> <br> Name: Jordi Arbiol<br> Institution: Catalan Institute of Nanoscience and Nanotechnology (ICN2) and BIST, Campus UAB, Ballaterra, 08193, Barcelona, Spain ICREA, 08010, Barcelona, Spain<br> ORCID: 0000-0002-0695-1726</p> <p> Name: Jesús Redondo<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Department of Surface and Plasma Science, Faculty of Mathematics and Physics, Charles University, 180 00 Prague 8, Czech Republic<br> ORCID: 0000-0002-8147-689X</p> <p> Name: F.Schiller<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain<br> ORCID: 0000-0003-1727-3542</p> <p> Name:Sara Barja<br> Institution: Department of Polymers and Advanced Materials, Centro de Física de Materiales CFM (UPV/EHU-CSIC), University of the Basque Country UPV/EHU, 20018, San Sebastián Spain. Donostia International Physics Center DIPC, 20018 San Sebastián, Spain. IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain</p> <p> Name: Beatriz Julián-López<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0003-1019-776X</p> <p> Name: Ana Gutiérrez-Blanco<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0001-9412-2321<br> Email: <angutier@uji.es></p> <p> Name: Victor Sans<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0001-7045-5244<br> Email: <sans@uji.es></p> <p> Name: Sixto Giménez<br> Institution: Institude of Advanced Materials (INAM), Universitat Jaume I, 12006, Castelló, Spain<br> ORCID: 0000-0002-4522-3174<br> Email: <sjulia@uji.es></p> <p>## FILE DESCRIPTION<br>----------------<br>### Figure 1<br>-Fig1b.txt : Distribution hystogram of the BiVO4 NPs after the synthetic procedure.</p> <p>### Figure 3 (All measurements were carried out in 0.1 M potassium phosphate buffer (pH 7), containing 0.1 M Na2SO3 as hole scavenger.)<br>-Fig3a.txt : LSVs under chopped illumination conditions, scan rate, 10 mV·s-1, simulated solar light (AM 1.5 G, 100 mW·cm-2), back illumination.<br>-Fig3b.txt : Chronoamperometries at 1.23 V vs. RHE.<br>-Fig3c.txt : IPCE measurements and integrated photocurrent at 1.23 V vs. RHE</p> <p>### Figure 4<br>-Fig4c.txt : LSV of the measured photoanode (the electrolyte consisted on 0.5 M KPi at a constant pH of 7 and 0.5 M Na2SO3 as hole scavenger) with back illumination configuration.</p> <p>### Figure S4<br>-FigS4a.txt : Absorbance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction).<br>-FigS4b.txt : Transmittance spectra of the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.Seven consecutive synthetic runs were carried out and an aliquot was taken from each run, always under identical conditions regarding the collection time of the sample (30 minutes after starting the reaction).<br>-FigS4c.txt : Absorbance mean + error or the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.<br>-FigS4d.txt : Transmittance at the selcted wavelength (400 nm) for the different BiVO4 colloidal suspension alliquots taken for reproducibility studies.</p> <p>## Figure S6<br>-FigS6.txt : Thermogravimetric analysis (TGA) curve of the BiVO4 NPs from room temperature to 500 ºC.</p> <p>### Figure S7<br>-FigS7.txt : XRD patterns of the FTO/BiVO4 photoanodes before and after thermal annealing. </p> <p>### Figure S8<br>-FigS8a.txt : Raman spectra of the FTO/BiVO4/Al2O3 based films before and after annealing. <br>-FigS8b.txt : FT-IR spectra of the FTO/BiVO4/Al2O3 based films before and after annealing. </p> <p>### Figure S9<br>-FigS9a.txt : Absorptance spectra of the FTO/BiVO4/Al2O3 samples before and after the annealing process.<br>-FigS9b.txt : Tauc plot of the FTO/BiVO4/Al2O3 samples before and after the annealing process. </p> <p>### Figure S11<br>-Fig11a.txt : LSV of the FTO/BiVO4/Al2O3 films in 0.1 M potassium phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination (scan rate, 10 mV·s-1) for the deposition reproducibility studies.<br>-Fig11b takes the same data contained in Fig11a.txt</p> <p>### Figure S12 (Measurements in 0.1 M phosphate buffer (pH 7) containing 0.1 M Na2SO3 as hole scavenger under AM 1.5 G, 100 mW·cm-2 back side illumination.)<br>-FigS12a.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4 (area 5 cm2).<br>-FigS12b.txt : Consecutive LSVs (LSV1, LSV2 LSV3) and LSV after 2 hours testing for the FTO/BiVO4/Al2O3 films (area 5 cm2) showing the enhanced stability after deposition of the Al2O3 layer.</p> <p> </p>
Mnemosine Digital Library. Open Science Laboratory
<p>Mnemosine Digital Library functional architecture. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.