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1,855 results for “framework”
Datasets for "A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models"
<p>This repository contains the post-processed model outputs from HAMSTER v1.2.0 as used in the following paper: </p> <p>Keune, J., Schumacher, D. L., and Miralles, D. G.: A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models, Geosci. Model Dev., 15, 1875–1898, https://doi.org/10.5194/gmd-15-1875-2022, 2022.<br> <br> The data set contains (1) global validation statistics for the three fluxes (evaporation, precipitation, sensible heat), and (2) the climatological source regions of precipitation and heat for Denver, Beijing and Windhoek. The former are found in the directory 'validation/global', and the latter are found in the directories '1001' (Denver), '3001' (Beijing) and '5002' (Windhoek). Multiple experiments were performed to assess the uncertainty of the source regions. Thus, multiple files exist, that show the same variables but for multiple experiments (indicated by the names "ALLPBL", "RH-10-20", "SOD08-SCH19", "SCH20", "FAS19" in the file name). For the moisture source regions, the uncertainty of the attribution methodology was assessed; these are indicated by the different folders, i.e. 'linear_upscaled' and 'random2_upscaled'. For each city and each experiment, the climatologically averaged source regions ('_mean.nc') and the climatologically averaged individual backward day contributions ('_bwmean.nc') are provided. Data sets are in the netCDF format and contain metadata following the CF convention.</p>
Data for "Modelling soil carbon stocks following reduced tillage intensity: a framework to estimate decomposition rate constant modifiers for RothC-26.3, demonstrated in north-west Europe"
<p>Dataset of paired observations of conventional tillage (CT) with no tillage (NT) and reduced tillage (RT) from studies in temperate oceanic regions of Western Europe, extracted from a recent systematic review (Jordon et al. preprint, see DOI below).</p> <p>R code of modelling framework to estimate tillage rate modifiers (TRM) for simulating adoption of RT and NT using RothC-26.3, and meta-estimates of TRM across studies.</p>
Prediction and analysis of phenotypes in the Arabidopsis clock mutant prr7prr9 using the Framework Model v2 (FMv2)
<p>This upload contains or links to the biological data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv <a href="https://doi.org/10.1101/105437">https://doi.org/10.1101/105437</a> ), updated 2022 as bioRxiv <a href="https://doi.org/10.1101/105437v2">https://doi.org/10.1101/105437v2</a>, mostly testing and simulating the effect of a slow circadian clock in the <em>prr7prr9 </em>double mutant compared to the Col wild type plants, with controls in <em>lsf1 </em>and <em>prr7 </em>single mutants. This is one of the outputs from the EU TiMet project, <a href="https://fairdomhub.org/projects/92">https://fairdomhub.org/projects/92</a>.</p> <p>Several data files contain results generated in the same studies, but not covered by the publication. For example, additional time points (18 or 21 days of growth), many additional metabolites, and additional genotypes including <em>pgm</em>, <em>lhy cca1, </em>and in one case, <em>toc1 </em>and <em>gi</em>.</p> <p>This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and is formatted as a Research Object, generated by the Snapshot function of FairdomHub, based on <a href="https://fairdomhub.org/investigations/123">Investigation https://fairdomhub.org/investigations/123.</a> The same Snapshot is shared on FairdomHub and will be from the University of Edinburgh Datashare.</p> <p>We request that users gives appropriate credit to the authors of any data released here, as a norm of academic practice, including data released under CC-0 licence on the FairdomHub.</p>
Dataset and framework for the Open Potential Ecological Network of Tuscany
<p>This repository contains the main output of the related research, specifically: two Open Potential Ecological Networks (OPEN) of Tuscany in the Cytoscape format: "tuscany_potential_directed.cys" and "tuscany_potential_undirected.cys".</p> <p>Please see the "annotations.txt" file to more detailed explanation regarding the content in this repository.</p>
Triangle of Biomedicine Framework to Analyze the Citations' Impact on Categories Dissemination in the PubMed Database
<p>This is the data and the most relevant script of the paper 'Triangle of Biomedicine Framework to Analyze the Citations’ Impact on Categories Dissemination in the PubMed Database'.</p>
Value chains under the framework of life cycle assessment indicators
<p>Tables included in the article "Monitoring the bioeconomy: value chains under the framework of life cycle assessment indicators"</p>
Supplementary Report for the paper "A Preliminary Analysis on the Effect of Randomness in a CEGAR Framework"
<p> A supplementary report for the paper "A Preliminary Analysis on the Effect of Randomness in a CEGAR Framework" by Ákos Hajdu and Zoltán Micskei, presented at the 25th PhD Mini-Symposium (2018), organized by the Department of Measurement and Information Systems at the Budapest University of Technology and Economics.</p>
A Novel Framework to Harmonise Satellite Data Series for Climate Applications: Matchups, Calibration Parameters and Residuals
<p>The datasets included with this archive supplement the journal article:</p> <p>Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. <em>Remote Sens. 2019</em>, <strong>11</strong>, 1002. doi:<a href="https://doi.org/10.3390/rs11091002">10.3390/rs11091002</a>.</p> <p>The archive includes a README file with further explanations.</p>
Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs" and "Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles"
<p>This is a file collection as supplementary material for the paper <em>Advancing quantum technology workforce: industry insights into qualification and training needs, <a href="https://doi.org/10.1140/epjqt/s40507-024-00294-2">doi 10.1140/epjqt/s40507-024-00294-2</a>.</em> It consists of:</p> <ol> <li>Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.</li> <li>Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.</li> <li>Dataset of the follow-up survey</li> </ol> <p>The results of this study were also used to update the <a href="https://doi.org/10.5281/zenodo.10976836" target="_blank" rel="noopener">European Competence Framework for Quantum Technologies Version 2.5</a>, which is documented in <em>Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles, <a href="https://doi.org/10.1140/epjqt/s40507-024-00302-5">doi 10.1140/epjqt/s40507-024-00302-5</a></em>. In an additional sheet, the three draft versions of qualification profile descriptions (v2.1, v2.2, v2.3) are provided.</p>
Toward a Generalizable Machine-Learned Potential for Metal-Organic Frameworks
<ul> <li>This repository contains the dataset used in the publication<br> `Toward Generalizable Machine Learned Potential for Metal-Organic Frameworks` Yue Yifei, Saad Aldin Mohammed, Loh Duane*, Jiang Jianwen*<br> <br> Please each the README.md within each subfolder. For brevity, the data is organized into three sections<br> <br> 1. The dataset in DATASET<br> - The training and testing dataset, including structures of MOFs in extxyz format<br> <br> 2. The training output files and logs in NEQUIP-TRAIN<br> - The conda environment details, training scripts and logs<br> - Also Training and testing metrics in csv files<br> - This is split into two zip files NEQUIP-TRAIN1 and NEQUIP-TRAIN2 due to their size<br> <br> 3. Examples of using the developed models in MD simulations<br> - Including LAMMPS scripts, data file and environment details used in our scalability tests<br> - The complied Nequip-patched LAMMPS version is also provided<br> - Details on how to use our models - we used a default model that is slower but more accurate in our study but faster models are also developed.</li> </ul>
Beyond the passive–active dichotomy: aligning research with the intervention continuum framework of ecological restoration
<p>The dataset and R script file are associated with the publication, "Krishnan, A. and Osuri, A.M. (2022), Beyond the passive-active dichotomy: aligning research with the intervention continuum framework of ecological restoration. Restoration Ecology:e13828. https://doi.org/10.1111/rec.13828"</p> <p>Please refer to the readme.txt file for more information on the dataset and analyses.</p>
The FAIRplus FAIRification framework diagrams
<p>The <a href="https://fairplus-project.eu/">FAIRplus project</a> has produced a practical FAIRification framework consisting of an overall process, a template of FAIRification steps and a work plan to implement specific FAIRification steps for a project or dataset. A full description of the framework is <a href="https://doi.org/10.5281/zenodo.7157066">available elsewhere</a>. </p> <p>This record provides PDF, PNG and SVG versions of the different parts of the framework - the general overview (FAIRplusFAIRificationFramework), the FAIRification process (FAIRplusFAIRificationProcess), the FAIRification template (FAIRplusFAIRificationTemplate) and a blank example of the FAIRification work plan (FAIRplusFAIRificationWorkplan).</p> <p>All parts of the framework are freely available for reuse (CC BY 4.0). An editable version of the work plan can be made available on request.</p>
Influence of Framework n(Si)/n(Al) Ratio on the Nature of Cu Species in Cu-ZSM-5 for NH3-SCR-DeNOx
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, computer simulation and analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DAT</strong>, <strong>m</strong>, <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong>, <strong>DTA.</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong>.</li> <li>EPR spectra are exported as <strong>txt</strong> files in ASCII format.</li> </ul> <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP3_20220705_01_CW_Experimental</strong> folder includes X-band CW-EPR spectroscopic measurements; original data are in DTA/DSC and txt formats.</li> <li>Files in <strong>PARACAT_WP3_20220705_02_CW_Simulations</strong> folder includes computer simulations/analyses of the EPR measurements; data are in m and txt formats.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>exp </strong>– experimental data, <strong>hyd </strong>– cw-EPR spectra related to hydrated state, <strong>dehyd </strong>– cw-EPR spectra related to the dehydrated state, <strong>sim </strong>– simulation data. <strong>Sys </strong>– copper species used for constructing the spin-Hamiltonian in EPR simulations. <strong>Cu-ZSM-5-com </strong>– commercial Cu-ZSM-5. <strong>Cu-ZSM-5-100</strong> – Cu-ZSM-5 synthesized at 100 °C. <strong>Cu-ZSM-5-120</strong> – Cu-ZSM-5 synthesized at 120 °C. <strong>Cu-ZSM-5-150</strong> – Cu-ZSM-5 synthesized at 150 °C.</li> </ul> </li> <li>– Cu-ZSM-5 synthesized at 170 °C. <ul> <li>definitions of variables: <strong>Magnetic field, Temperature.</strong></li> <li>units of measurement: <strong>Gauss (G), K, degree (°), milliTesla (mT)</strong>.</li> </ul> </li> </ul>
Netanyahu's and Abbas' speeches at the UNGA 2010-19, coded using a populism framework
<p>Databaset with speeches of Benjamin Netanyahu and Mahmoud Abbas before the United Nations General Assembly (UNGA) (2010-2019) coded using MAXQDA following populism multidimensional comparative framework by Olivas Osuna (2021).</p> <p>In this database syntactic units —sentences—are individually coded whenever they match the criteria corresponding to any of populism/anti-populism, re-bordering/de-bordering, religion and securitisation codes defined previously. See Olivas Osuna and Rama (2021) and Olivas Osuna (2022) for reference to the methodology and previous empirical applications.</p>
Dataset for 'Room-temperature monitoring of CH4 and CO2 using a metal-organic framework-based QCM sensor showing inherent analyte discrimination'
<p>Associated data for the manuscript 'Room-temperature monitoring of CH4 and CO2 using a metal-organic framework-based QCM sensor showing inherent analyte discrimination' (doi://10.26434/chemrxiv-2023-djhp2)</p> <p> </p> <p> </p>
Assessing the Provision of a Multi-Ancillary Service Framework provided by PV-BES Systems (ProMiSe) - LAB Experiments
<p>This dataset comprises the results obtained during ProMiSe project. In particular, scope of ProMiSe is to test and validate a new unified control architecture used to overcome voltage violations and voltage unbalance issues by conducting real-time simulations and utilizing a power hardware-in-the-loop platform. The validation scheme reflects a range of different scenarios and realistic test cases of integration of the unified control strategy in modern distribution networks. In particular, three experiments are considered:</p> <p>- <strong>Experiment 1</strong>: The performance of the proposed unified strategy is evaluated in a low-voltage (LV) distribution network (DN). The LV DN, the detailed model of a three-phase, four-leg converter (3Ph4LC) and the deployed voltage regulation (VR) / voltage unbalance mitigation (VUM) algorithms are developed in the real time digital simulator (RTDS).</p> <p>- <strong>Experiment 2</strong>: The performance of the proposed unified strategy is evaluated in the LV DN of Experiment 1. The LV DN, the detailed model of a 3Ph4LC and the deployed VR/VUMalgorithms are developed in the RTDS. Compared to Experiment 1, in Experiment 2 the line <em>R/X</em> ratio is decreased, in order to demonstrate the impact of the <em>R/X</em> on the provided ancillary services. Here, it should be highlighted that grid voltage levels as well as the power levels of load nodes have been properly readjusted to achieve similar voltage levels to the point of the inter-connection (POI) of the 3Ph4LC with Experiment 1. </p> <p>- <strong>Experiment 3</strong>: The performance of the proposed unified strategy is evaluated in the LV DN of Experiment 1. The LV DN and the VR/VUM algorithms are developed in the RTDS. Compared to Experiment 1, in Experiment 3 the detailed model of the ProMiSe 3Ph4LC has been replaced with controllable current sources. Note that the filter has been remained in the analysis. Here, it should be highlighted that grid voltage levels have been properly readjusted to achieve similar voltage levels to POI with Experiment 1. In addition, due to a resonance problem observed during the test between the lab equipment and the virtual network in the software platform, the filter parameters are readjusted to overcome the problem.</p> <p>For each experiment, the obtained results are provided in csv format.</p> <p>For more Information regarding the ProMiSe project, the conducted simulations, as well as the files/variables expanation, please refer to ProMiSe-Info.pdf.</p>
BY-COVID Impact Framework
<p>Presentation of the project’s pathways towards impact (left to right). Starting with BY-COVID’s Objectives (blue boxes), pathways move from left to right, with Expected Outcomes (green boxes) and Expected Impacts (light purple boxes) given for the topic in the Horizon Europe Work Programme 2021-2022 for Research infrastructures. Other impacts considered to be relevant to the project’s work are shown (dark purple boxes).</p>
Soil and meteorological data, and finite element simulation framework for heat transfer through shrubs in winter near Lautaret pass, French Alps
<p>The data allow the calculation using finite element modeling of heat transfer through shrub branches and snow between the atmosphere and the soil. The shrubs are green alders (Alnus viridis). The site where they are found is called Alnus-Nivus (45.034750°N, 6.413630°E, 2034 m asl) near Col du Lautaret, French Alps. The soil data consist in temperature and volumetric liquid water content at 5 and 15 cm depths. One spot is near the alder collar (ALNUS), the other spot is 6 m away, under grass (GRASS).</p> <p>The meteorological data were obtained from the FR-Clt station, 750 m away (45.041278°N, 6.410611°E, 2046 m asl). See (Gupta et al., 2023) for details. Only the data relevant for heat transfer simulations are given.</p> <p>The simulation framework gives the alder mesh used in the heat transfer simulations. Typical simulations use a wood thermal conductivity of 1 W m<sup>-1</sup> K<sup>-1</sup> and a snow thermal conductivity of 0.1 W m<sup>-1</sup> K<sup>-1</sup>. Based on observations, the snow height at Alnus-Nivus is likely to be at least twice the value at FR-Clt. Forcing uses the snow surface temperature, derived from upwelling longwave radiation using an emissivity of 1. The data allow testing thermal bridging through shrub branches. These data are used in a publication in preparation: Domine, Fourteau, Choler, Exploration of Thermal Bridging Through Shrub Branches in Alpine Snow.</p> <p>Reference</p> <p>Gupta, A., Reverdy, A., Cohard, J. M., Hector, B., Descloitres, M., Vandervaere, J. P., Coulaud, C., Biron, R., Liger, L., Maxwell, R., Valay, J. G., and Voisin, D.: Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci., 27, 191-212, 2023.</p>
Dataset of experiment of wire-harness manufacturing framework validation
<p>Dataset created during the validation experiments of the wire harness manufacturing framework developed within the REMODEL European project.</p>
Dataset for Machine Learning Framework for Modeling Exciton-Polaritons in Molecular Materials
<p>The data consists of several NumPy arrays saved in the binary format (npy files) with a total size of 108 MB. The details of these files are listed below.</p> <table> <tbody> <tr> <td> <p><strong>Filename and path</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>training/azo_R.npy</p> </td> <td> <p>Coordinates for training</p> </td> </tr> <tr> <td> <p>training/azo_Z.npy</p> </td> <td> <p>Atomic indices for training</p> </td> </tr> <tr> <td> <p>training/azo_E.npy</p> </td> <td> <p>Molecular energies for training</p> </td> </tr> <tr> <td> <p>training/azo_D.npy</p> </td> <td> <p>Transition dipoles for training</p> </td> </tr> <tr> <td> <p>training/azo_ScaledNACR.npy</p> </td> <td> <p>Non-adiabatic coupling vectors scaled by energy difference for training</p> </td> </tr> <tr> <td> <p>scan/azo_R.npy</p> </td> <td> <p>Coordinates for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_Z.npy</p> </td> <td> <p>Atomic indices for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_E.npy</p> </td> <td> <p>Molecular energies for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_D.npy</p> </td> <td> <p>Transition dipoles for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_ScaledNACR.npy</p> </td> <td> <p>Non-adiabatic coupling vectors scaled by energy difference for PES scan</p> </td> </tr> <tr> <td> <p>spectrum/azo_R.npy</p> </td> <td> <p>Coordinates for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_Z.npy</p> </td> <td> <p>Atomic indices for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_E.npy</p> </td> <td> <p>Molecular energies for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_D.npy</p> </td> <td> <p>Transition dipoles for spectrum calculation</p> </td> </tr> </tbody> </table>
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.