Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,172
datasets available to search
ShareScore release 0.9.0
Dataset results
3,172 results for “Publications”
Waveform data for centroid moment tensor solutions presented in publication "Bayesian seismic source inversion with a 3-D Earth model of the Japanese islands"
<p>This dataset contains waveform data for centroid moment tensor solutions inferred using Hamiltonian Monte Carlo sampling algorithm and a 3-D Earth model of the Japanese islands. Specifically, it includes processed observed waveforms from the Full Range Seismograph Network of Japan (F-Net, http://www.fnet.bosai.go.jp) and synthetic waveforms for the maximum-likelihood solutions as well as Global Centroid Moment Tensor (GCMT) solutions for all study events inverted at different periods. Detailed description of the dataset is included in the README file. </p>
Supporting dataset for the publication "The Crucial Role of Solvation Forces in the Steric Stabilization of Nanoplatelets"
<p>Here, we provide an example of our umbrella sampling simulations (35.6 nm²×1.5 nm, 4 ligand beads, 250k solvent molecules), the input and output data of our WHAM calculations, free energy curves, and simulation data from the comparison of the MARTINI force field to the TraPPE-UA force field. Additional, we provide a modified file of the HOOBAS molecular builder. This file includes the "platelet" class we use to create nonoplatelets in our simulations.</p> <p> </p> <p> </p>
Data publication for "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings"
<p><strong>Summary</strong></p> <p>This data publication supplements the manuscript "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings" [1] with tabulated data. Furthermore, the provided Matlab and Python scrips allow to reproduce the data and can serve as a starting point for further investigations. They include a multi-objective optimization scheme, a robustness analysis with further optimizations focused on robustness and an investigation of the electrical properties. The following sections explain the contents of each directory and discuss dependencies on third-party software. For a detailed descriptions of the methods and the optimization and analysis pipeline we refer to the related paper [1].</p> <p><strong>Tabulated data</strong></p> <p>The contained text files refer to figures in the manuscript [1] as indicated by their names. Additional information is given in the headers.</p> <p><strong>Optimization</strong></p> <p>The optimization has been carried out with Matlab scripts (tested with version r2019b) which rely on the commercial FEM solver JCMsuite [2] (for a free trial licenses please refer to the homepage of <a href="http://jcmwave.com">JCMwave</a>). In order to run any of the supplied scripts you must edit the path to the installation directory of JCMsuite (5.2.1).</p> <p>The subdirectories <code>JCMsuite</code> and <code>Matlab</code> contain input files for JCMsuite and function definitions along with a recent version of RPExpand [3], respectively. Rerunning the scripts <code>optimization.m</code>, contained in each of the subdirectories <code>NIR</code>, <code>CBand</code> and <code>OBand</code>, will open the dashboard of the optimizer, which provides visualizations of the optimization progress. The target function is defined in <code>Matlab/coupling.m</code>.</p> <p>Wavelength scans of Purcell enhancement, coupling efficiency to a single mode fiber and collection efficiency into a numerical aperture of NA=0.8 have been carried out using interpolation based on modal expansions with RPExpand.</p> <p><strong>Robustness analysis</strong></p> <p>Along with the Python scripts used to run the robustness analysis and further optimizations, a visualization of all results have been added (e.g. <code>final_results/C_Band/robust_opt/figure_purcell_max.pdf</code>), which add to the results presented in figure 2 of the manuscript [1].</p> <p><strong>Electrical properties</strong></p> <p>The script <code>elCBG_capacitor_cylindrical_10_Rings_Ubias_sweep.py</code> is based on <a href="https://devsim.org/index.html">DEVSIM</a> [4]. Version 1.6.0 has been used to generate the original data, but for this data publication, it has been adapted to run with a current version. You can install the required packages, e.g., with Miniconda (22.11.1) running</p> <pre><code>conda install mkl sqlite zlib pip install numpy pandas devsim</code></pre> <p><strong>Bibliography</strong></p> <p>[1] Lucas Rickert, Fridtjof Betz, Matthias Plock, Sven Burger and Tobias Heindel: High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings (2022), http://arxiv.org/abs/2212.04883</p> <p>[2] https://jcmwave.com</p> <p>[3] Fridtjof Betz, Felix Binkowski, Sven Burger, RPExpand: Software for Riesz projection expansion of resonance phenomena, SoftwareX 15, 100763 (2021), https://doi.org/10.1016/j.softx.2021.100763</p> <p>[4] https://devsim.org/index.html</p>
Supplementary materials. Publication "Three-way relationships between gut microbiota, helminth assemblages and bacterial infections in wild rodent populations" by Bouilloud et al.
<p><strong>Supplementary information</strong></p> <p><strong>Supplementary Figure S1</strong>. Maps showing the sampling area (left) and localities (right) in France. Forests are indicated in green and water in blue. The four sampling localities are represented with a colored polygon. The arrow indicates the North.</p> <p> </p> <p><strong>Supplementary Figure S2</strong>. Composition of the gut bacteriota. The relative abundance of six phyla representing 99% of the total composition is represented. Individuals are grouped by sampling localities, which are ordered from North to South. (A) Bar graph shows individual variation in phyla composition (phylum=color). (B) Box and whisker plots represent median and interquartile values for each phylum. Black dots correspond to mean values, and colored dots correspond to individuals.</p> <p> </p> <p><strong>Supplementary Figure S3</strong>. Variations of alpha diversity with individual factors, for the gut bacteriota (family level), pathogenic bacteria and gastro-intestinal helminths of bank voles. Alpha diversity is estimated using the specific richness (A, B and C) and the Shannon index (D, E and F). In graphs C and F, the blue line corresponds to the linear regression line.</p> <p> </p> <p><strong>Supplementary Figure S4</strong>. Relationships between the composition of the gut bacteriota, pathogenic bacteria and gastro-intestinal helminth communities: The db-RDA triplot shows the structure of the gut bacteriota at the phylum level and the correlations with the intra-host parasite communities. The arrows correspond to the significant explanatory variables. Each point corresponds to an individual, and the colors correspond to the different sampling localities.</p> <p> </p> <p><strong>Supplementary Table S1. </strong>Variation of the Firmicutes/Bacteroidetes ratio with localities and individual factors.</p> <p> </p> <p><strong>Supplementary Table S2. </strong>Alpha diversity metrics and statistics for the gut bacteriota, pathogenic bacteria and helminth communities of bank voles.</p> <p> </p> <p><strong>Supplementary Table S3. </strong>Beta diversity metrics and statistics for the gut bacteriota, pathogenic bacteria and helminth communities of bank voles</p>
Dataset supporting publication: "Experimental Characterization of a Smart Material via DIC"
<p>Dataset supporting publication: “Experimental Characterization of a Smart Material via DIC” (publication available in <a href="https://zenodo.org/record/7266424#.Y1_dynbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>When no extensometer is available in a generic tensile-compression test carried out by a universal testing machine (for instance the model BIONIX from Material Testing Systems (MTS), the test results only provide the relative displacement between the machine grips. The test does not provide any information on the local behaviour of the material. This contribution presents the potential of an application of Digital Image Correlation (DIC) toward the reconstruction of the behaviour along the specimen. In particular, the authors test a Ni-Ti shape memory alloys (SMA) specimen with emphasis on the coupling of the two measurement techniques. The activity reported in this work have been founded by European Union Horizon 2020 research and innovation program under grant agreement No 792210 (GEOFIT).</p>
Dataset supporting publication: "The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities"
<p>Dataset supporting publication: “The Problem of Geothermal Power Installation on Buildings: Structural Building Monitoring and Assessment During Drilling Activities” (publication available in <a href="https://zenodo.org/record/7266386#.Y1_e1XbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>The current European Union (EU) policy aims to increase the use of “green” energies, and within this strategy the exploitation of the geothermal energy is a well promising approach. The European Horizon2020 project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retroFITting) aims among the others to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods.</p> <p>When dealing with “plants of power production”, one needs to develop a Life Cycle Analysis and to apply a Life Cycle Assessment (LCA) for evaluating any environmental aspects and potential influences throughout the whole life cycle of a product or process or service. The paper first provides a preliminary discussion on this aspect. Then it focuses attention on a pilot site made available within the GEOFIT Consortium. The results from a structural monitoring campaign in this pilot site before and during the drilling operations associated to the implementation of the geothermal power system are presented discussed.</p>
Dataset supporting publications: "Discrete Element Modelling of Rock Drilling" and "Towards Discrete Element Modelling of Rock Drilling"
<p>Dataset supporting publications: Paper - “Discrete Element Modelling of Rock Drilling” and Thesis - “Towards Discrete Element Modelling of Rock Drilling” (both publications available in Zenodo: <a href="https://zenodo.org/record/7274081#.Y2JoCXbMJPY">paper</a>, <a href="https://zenodo.org/record/5901677#.Y2s51HaZO3B">thesis</a>)</p> <p>Dataset used: Wear test datasets as described in T2.3.1 for the improvement of drilling efficiency via the selection of optimal drill bits (D5), Mechanical properties rock/soil (D29), Datasets resultant from numerical simulations of the drilling operation in T7.2-5 (D33)</p> <p>Percussive rotary drilling is recognized as the most efficient method for hard rock drilling. Despite clear advantages over conventional rotary methods, there are still some uncertainties associated with percussive drilling. For geothermal applications, drilling accounts for a large portion of the total cost. Specifically, the wear of drill bits when drilling in hard rock is a predominant cost factor and drilling parameters are often based on the experience of the field operator. Within the framework of the H2020 project GEOFIT, numerical simulations of percussive drilling are performed in order to evaluate the rock drilling process and gain insight about the trade-off between wear and Rate of Penetration (ROP). In the simulations, the rock material was represented by the Bonded Discrete Element Method (BDEM), the drill bit by the Finite Element Method (FEM), the drilling fluid by the Particle Finite Element Method (PFEM) and the abrasive wear on the surface of the drill bit was represented by Archard’s wear law. The drilling simulations were conducted for two rock materials; a sedimentary rock material corresponding to what was found when drilling at the GEOFIT pilot site in Aran Islands, Ireland, and a harder reference rock similar to granite. The results show that, at a drill bit impact force of 10 kN, the ROP in the sedimentary rock was 6.3 times faster than for granite. When increasing the impact force to 40 and 50 kN, however, the ROP for the sedimentary rock is only 1.9 and 1.6 times faster, respectively. Furthermore, the wear rate decreased with increased impact force when drilling in the granite rock. For the sedimentary rock, however, the loading resulting in the best trade-off between abrasive wear and ROP was the second highest loading of 40 kN, which suggests that an increase in impact energy may increase the rate of penetration but may not be economically motivated.</p>
Dataset supporting publication: "Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers"
<p>Dataset supporting publication: “Development and Validation of Analytical Solutions for Earth Basket (Spiral) Heat Exchangers” (publication available for download:<a href="https://zenodo.org/record/7274096#.Y2JpLnbMJPY">GEOFIT Zenodo</a>).</p> <p>This paper presents an analytical solution and its validation for earth basket (vertical spiral) ground heat<br> exchangers. The model, based on the well known Finite Line Source Equation, accounts for the heat exchanger pipe diameter and seasonally varying near surface temperature. For computational efficiency the standard approach of using G-functions has been implemented as well. The analytical model is validated based on laboratory experiments and extensive CFD analysis.</p>
Tourists' perceptions of water quality in Finland, dataset, related to article "Browning of Boreal Lakes: Do Public Perceptions and Governance Meet the Biological Foundations?"
<p>Tourists' perceptions of water quality in Finland, dataset, related to article "Browning of Boreal Lakes: Do Public Perceptions and Governance Meet the Biological Foundations?" by Albrecht et al. (2022).<br> <br> <strong>Article abstract:</strong><br> "Surface water browning, also known as brownification, is an acute environmental issue concerning inland waters. We adopt an interdisciplinary perspective and combine limnology, ecology, environmental law, tourism, and economics to build a theoretical framework to understand the consequences and management needs concerning water browning, generate a research agenda, and pinpoint acute research needs. Using a systematic review approach, we identify gaps of knowledge and address the impacts of browning on lake ecosystem functioning. To support the biological information, we present primary survey data to define the recreational use and public perception of waters in Finland. We identified an urgent need for the development of indicators of brownification beyond EU’s Water Framework Directive (WFD) to be able to balance the costs of browning with terrestrial activities that increase browning. Despite a considerable body of research already exists, there is still a need for better understanding of the biogeochemical processes related to browning to progress towards ecosystem-based management of inland waters. Public perception of the quality of waterbodies in Finland was largely in agreement with the proportion of waterbodies classified to meet the good or excellent ecological status, but recreational fishers may value different aspects of water quality compared to the classification based on WFD. Consequently, to build an interdisciplinary understanding of how browning affects boreal lakes and their uses, we suggest improvements for environmental regulation concerning the impact assessment of terrestrial land use activities and ecosystem-based management of inland waters."</p>
Dataset supporting publication: "Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city"
<p>Dataset supporting publication: “Data collected by coupling fix and wearable sensors for addressing urban microclimate variability in an historical Italian city” (publication available for download: <a href="https://zenodo.org/record/3901556">GEOFIT Zenodo</a>)</p> <p>Datasets resulting from monitoring activities of Sant'Apollinare systems and climatic parameters inside and outside the building (post-intervention monitoring).</p> <p>The article presents the data collected through an extensive research work conducted in a historic hilly town in central Italy during the period 2016-2017. Data concern two different datasets: long-term hygrothermal histories collected in two specific positions of the town object of the research, and three environmental transects collected following on foot the same designed path at three different time of the same day, i.e. during a heat wave event in summer. The short-term monitoring campaign is carried out by means of an innovative wearable weather station specifically developed by the authors and settled upon a bike helmet. Data provided within the short-term monitoring campaign are analysed by computing the apparent temperature, a direct indicator of human thermal comfort in the outdoors. All provided environmental data are geo-referenced. These data are used in order to examine the intra-urban microclimate variability. Outcomes from both long- and short-term monitoring campaigns allow to confirm the existing correlation between the urban forms and functionalities and the corresponding local microclimate conditions, also generated by anthropogenic actions. In detail, higher fractions of built surfaces are associated to generally higher temperatures as emerges by comparing the two long-term air temperature data series, i.e. temperature collected at point 1 is higher than temperature collated at point 2 for the 75% of the monitored period with an average of þ2.8 [1]C. Furthermore, gathered environmental transects demonstrate the high variability of the main environmental parameters below the Urban Canopy. Diversification of the urban thermal behaviour leads to a computed apparent temperature range in between 33.2 [1]C and 46.7 [1]C at 2 p.m. along the monitoring path. Reuse of these data may be helpful for further investigating interesting correlations among urban configuration, anthropogenic actions and microclimate variables affecting outdoor comfort. Additionally, the proposed dataset may be compared to other similar datasets collected in other urban contexts around the world. Finally, it can be compared to other monitoring methodologies such as weather stations and satellite measurements available in the location at the same time.</p>
Dataset supporting publication: "Geothermal Power: Monitoring the Building Response During Installation"
<p>Dataset supporting publication: “Geothermal Power: Monitoring the Building Response During Installation” (publication available for download: <a href="https://zenodo.org/record/4244246#.X6KWq1CCHIU">GEOFIT Zenodo</a>)</p> <p>The European project GEOFIT (Deployment of novel GEOthermal systems, technologies and tools for energy efficient building retrofitting) is gathering more than 20 partners from all around Europe. Its main objective is to deploy and to integrate advanced methods of worksite inspection, ground research, and building structural monitoring, drilling and worksite characterization into advanced geothermal based retrofitting methods. This contribution reports the experimental results to be achieved within GEOFIT at the location of specific case studies. In particular standard accelerometric measurements will be collected and compared with the information collected by the geo-radar system made available by one of the partners. This paper focuses on the structural monitoring of a two-story masonry building. The results of a preliminary data collection in the absence of drilling are also reported.</p>
Dataset supporting publication: 'GEOFIT: Ground source heat pump systems for energy efficient building retrofitting'
<p>Dataset supporting publication: Presentation of GEOFIT at the <a href="https://www.hp-summit.de/en">European Heat Pump Summit</a> (2019) </p> <p>Available for download: <a href="https://zenodo.org/record/3901527">GEOFIT Zenodo</a></p> <p>The integration of geothermal systems for heating / cooling solutions in conjunction with heat pump technology is a major challenge, particularly in the case of renovation. In order to find the best solution for the increased flow temperatures compared to a new building for the renovation, various heat pump configurations are evaluated according to energy and economic criteria. A refrigerant with low greenhouse gas potential (GWP) is used as the working medium, e.g. R1234ze (E)) less than 10 used. A favorable refrigeration circuit configuration for high flow temperatures is a twin-circuit system, which essentially consists of two heat pumps with different condensing temperatures and the same evaporation temperatures. An alternative to this is a single-stage configuration with a significantly larger condenser for improved supercooling. Both systems should enable efficient operation when renovating buildings.</p>
Dataset supporting publication: Erdwärmepumpen für die energieeffiziente Gebäudesanierung
<p>Publication available for download: <a href="https://zenodo.org/record/3870521">GEOFIT Zenodo</a></p> <p>Die Integration von Erdwärmesystemen für Heiz-/Kühllösungen in Zusammenspiel mit der Wärmepumpentech-nologie ist speziell im Sanierungsfall eine große Herausforderung. Um für den Sanierungsfall die beste Lösung für die erhöhten Vorlauftemperaturen im Vergleich zu einem Neubau zu finden, werden verschiedene Wärmepum-penkonfigurationen nach energetischen und wirtschaftlichen Kriterien bewertet. Als Arbeitsmedium wird ein Kältemittel mit niedrigem Treibhausgaspotential (engl. GWP), z.B. R1234ze(E)) kleiner als 10, verwendet. Eine günstige Kältekreiskonfiguration für hohe Vorlauftemperaturen ist ein Zweikreissystem (Twin-cycle), das im We-sentlichen aus zwei Wärmepumpen mit unterschiedlichen Verflüssigungstemperaturen und gleichen Verdamp-fungstemperaturen besteht. Eine Alternative dazu ist eine einstufige Konfiguration (Single-stage) mit einem deutlich größeren Kondensator zur verbesserten Unterkühlung. Beide Systeme sollen bei der Gebäudesanierung einen effizienten Betrieb ermöglichen.</p> <p> </p> <p> </p>
Metal and Metalloid Bioaccumulation in Nodipecten nodosus (Linnaeus, 1758) Scallops (Mollusca: Pectinidae) Cultivated in Southeastern Brazil and Associated Public Health Issues
<p>Supplementary Table S1. Instrumental ICP-MS conditions for metal and metalloid detection in lion’s paw scallops in Southeastern Brazil. <strong>Table S2.</strong> Metal accumulation levels for Cd, Cu, Zn and Ni between scallop species and different locations worldwide. All data are expressed as μg. g<sup>-1</sup>w.w. FAAS - Flame Atomic Absorption Spectrometry, ICP-MS - Inductively Coupled Plasma Mass Spectrometry, ICP-OES - Inductively Coupled Optical Emission Spectrometry, ATFS – Atomic Fluorescence Spectrometry. <strong>Table S3</strong>. Metal accumulation levels for Pb, Cr, Fe and Mn between scallop species and different locations worldwide. All data are expressed as μg. g<sup>-1</sup>w.w. FAAS - Flame Atomic Absorption Spectrometry, ICP-MS - Inductively Coupled Plasma Mass Spectrometry, ICP-OES - Inductively Coupled Optical Emission Spectrometry, ATFS – Atomic Fluorescence Spetrometry</p>
Learning Analytics for Personalized Learning Environments: Visualizing Journal Publication Trends
<p>Data collected from Scopus database for the "Learning Analytics for Personalized Learning Environments: Visualizing Journal Publication Trends" entitled research.</p>
Dataset for publication Sikora P., Woliński P., Chougan M., Madraszewski S., Węgrzyński W., Papis B.K., Federowicz K., Ghaffar S.H., Stephan D. A systematic experimental study on biochar-cementitious composites: Towards carbon sequestration. Industrial Crops and Products (2022) 184, 115103
<p>Open Dataset of: TG, XRD data and Origin file (*.opju) of particle size distribution, calorimetry, compressive strength (mortar + paste), water absorption coefficient/open porosity from publication Sikora P., Woliński P., Chougan M., Madraszewski S., Węgrzyński W., Papis B.K., Federowicz K., Ghaffar S.H., Stephan D. A systematic experimental study on biochar-cementitious composites: Towards carbon sequestration. Industrial Crops and Products (2022) 184, 115103. https://doi.org/10.1016/j.indcrop.2022.115103<br> 122758</p>
X-ray scattering datasets and simulations associated with the publication "Bio-SAXS of Single-Stranded DNA-Binding Proteins: Radiation Protection by the Compatible Solute Ectoine"
<p>This dataset contains the processed and analysed small-angle X-ray scattering data associated with all samples from the publications "Bio-SAXS of Single-Stranded DNA-Binding Proteins: Radiation Protection by the Compatible Solute Ectoine" (<a href="https://doi.org/10.1039/D2CP05053F">https://doi.org/10.1039/D2CP05053F</a>)</p> <p>Files associated with McSAS3 analyses are included, alongside the relevant SAXS data, with datasets labelled in accordance to the protein (G5P), its concentration (1, 2 or 4 mg/mL), and if Ectoine is present (Ect) or absent (Pure). PEPSIsaxs simulations of the GVP monomer (PDB structure: 1GV5 ) and dimer are also included.[1]</p> <p>TOPAS-bioSAXS-dosimetry extension for TOPAS-nBio based particle scattering simulations can be obtained from <a href="https://github.com/MarcBHahn/TOPAS-bioSAXS-dosimetry">https://github.com/MarcBHahn/TOPAS-bioSAXS-dosimetry</a> which is further described in <a href="https://doi.org/10.26272/opus4-55751">https://doi.org/10.26272/opus4-55751</a>.</p> <p>This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant number 442240902 (HA 8528/2-1 and SE 2999/2-1). We acknowledge Diamond Light Source for time on Beamline B21 under Proposal SM29806. This work has been supported by iNEXT-Discovery, grant number 871037, funded by the Horizon 2020 program of the European Commission.</p> <p>[1] S. Su, Y.-G. Gao, H. Zhang, T. C. Terwilliger and A. H.-J. Wang, Protein Science, 1997, 6, 771–780.</p> <p> </p> <p><br> </p>
Artifacts for the IEEE Internet of Things Journal Publication: Specification-based Symbolic Execution for Stateful Network Protocol Implementations in the IoT
<p>Artifacts for the evaluation of the publication <em>Specification-based Symbolic Execution for Stateful Network Protocol Implementations in the IoT </em>which will be published in the IEEE Internet of Things journal. More information is available in the provided README.md file.</p>
IDSL.CSA spectra annotation table for unique CSA variants of ST001000 - against public MS/MS databases
<p>IDSL.CSA spectra annotation table for unique CSA variants of ST001000 - against public MS/MS databases</p>
Spectral data associated to the publication: "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" by Z. Yoldi et al. (Icarus 386, 2022)
<p>This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116.</p> <p>A pre-print of the article is also freely available on ArXiv:</p> <p>https://arxiv.org/abs/2207.13905</p> <p>The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces.</p> <p>The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders.</p> <p>The spectral files inside these folders and subfolders have the following naming convention:</p> <p>spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv</p> <p>Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in "20180207_ternary_mixture" with 12 timesteps).</p> <p> The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).</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.