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3,899 results for “international”
Data set for: Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models
<p>This data set contains the simulations and data analysis files used in the publication: "<em>Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models</em>", by D. Cortés-Ortuño, K. Fabian and L. V. de Groot.</p> <p>The data set includes:</p> <ul> <li>Scripts and output files from MERRILL simulations</li> <li>Jupyter notebooks with data analysis</li> <li>Figures</li> </ul> <p>A preprint of this work can be found in:</p> <p>David Cortés-Ortuño, Karl Fabian and Lennart V. de Groot. <em>Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models.</em> DOI: 10.1002/essoar.10510574.1. Earth and Space Science Open Archive. <a href="https://doi.org/10.1002/essoar.10510574.1">https://doi.org/10.1002/essoar.10510574.1</a></p> <p>The README file in this dataset (in markdown format) contains full details about the simulations. The dataset also contains pre-computed data files to calculate the inversions and produce the figures and analyze the inversion data without processing the vbox files.</p> <p>To cite this dataset you can use the following bibtex entry:</p> <pre><code>@Misc{Cortes2022, author = {Cortés-Ortuño, David and Fabian, Karl and de Groot, Lennart V.}, title = {{Data set for: Mapping magnetic signals of individual magnetite grains to their internal magnetic configurations using micromagnetic models}}, publisher = {Zenodo}, year = {2022}, doi = {10.5281/zenodo.6501818}, url = {https://doi.org/10.5281/zenodo.6501818}, } </code></pre> <p> </p>
Data for Li et al., Coupling remote sensing and particle tracking to estimate trajectories in large water bodies, International Journal of Applied Earth Observation and Geoinformation, 2022
<p>This data set contains four parts:</p> <p>1) compressed folder with input parameters and results for the hydrodynamic model</p> <p>2) compressed folder with input parameters and results for the particle tracking</p> <p>3) compressed folder with satellite data </p> <p>4) code used in the article for hydrodynamic model, particle tracking and image processing</p> <p>Each folder contains a readme file,</p>
Map of Tigray's mineral resources (north Ethiopia) - Canadian and other international mining licences
<p>In Tigray, artisanal mining of gold in the low-lying areas with outcropping Precambrian rocks is one of the major off-farm income sources. The 17<sup>th</sup> C. Portuguese traveller Barradas had already mentioned gold production in Tembien. Rural youth seasonally migrate to inhospitable lowlands and gorges such as the largely uninhabited Weri’i River valley, to search for placer gold, washed out from weathered gold-containing quartz veins within the meta-sediments and meta-volcanics. In recent decades, large-scale gold exploration and mining of gold deposits has been carried out in various parts of Tigray by local (such as the Ezana Mining Development P.L.C.) and several foreign exploration companies particularly from Canada. Recently, The Ethiopia Cable exposed links between big Canadian mining interests and a renewed PR campaign (involving Canadian professor and lobbyist Ann Fitz-Gerald) to whitewash the Ethiopian and Eritrean governments. Earlier on, it had already been suggested that one of the reasons for the Canadian government being very late in officially addressing the atrocities in the ongoing Tigray war, might be related to the country’s mining interests in Tigray.</p> <p>Here we contextualise Tigray’s gold and base metal resources, and present a map of active and applied mineral exploration and mining licenses in Tigray. The largest exploration license areas are concessions of Canadian companies, followed by the U.S. and the United Kingdom.</p>
M2 internal tide modal energy terms from a global HYCOM simulation
<p>This data set contains modal energy terms from a forward global HYCOM simulation (22.1) with realistic tide and atmospheric forcing as discussed in <a href="https://doi.org/10.1016/j.ocemod.2020.101656">https://doi.org/10.1016/j.ocemod.2020.101656</a> (On the interplay between horizontal resolution and wave drag and their effect on tidal baroclinic mode waves in realistic global ocean simulations, 2020, MC Buijsman, GR Stephenson, JK Ansong, BK Arbic, JAM Green, ... Ocean Modelling 152, 101656). <strong>Please cite this article when using these data. </strong></p> <p>This is a 4-km simulation with 41 layers. All data is on the native tripole grid. Data is stored as netcdf4 classic. The 2D data sets are 7055 x 9000 (lat x lon).</p> <p>The data set contains</p> <ol> <li>The time-mean and depth-integrated M2 mode 1-5 energy terms: x (eastward) and y (northward) fluxes, KE, APE, conversion, flux divergence, and the intermodal energy conversion (topographic mode coupling) term. The terms are computed for a two-week time series starting on GMT 01-Sep-2016 01:00:00. For details see the paper.</li> <li>Positive seafloor depth, and latitude and longitude coordinates</li> </ol> <p>The M2 mode-1 SSH of the same simulation can be found here: https://doi.org/10.5281/zenodo.5514226</p> <p><a href="https://sites.google.com/site/maartenbuijsman/">https://sites.google.com/site/maartenbuijsman/</a></p>
How do native and non-native speakers recognize emotions in the instructor's voice in educational videos? Exploring the first step of the cognitive-affective model of e-learning for international learners [dataset]
<p>Dataset for the journal article <em>How do native and non-native speakers recognize emotions in the instructor’s voice in educational videos? Exploring the first step of the cognitive-affective model of e-learning for international learners.</em></p>
Gaia Data Release 3: Basis function configuration for internally calibrated BP/RP spectra
<p>This XML file contains the basis function configuration adopted for the internally calibrated BP and RP spectra published in Gaia Data Release 3. The same file is included in the GaiaXPy (https://gaia-dpci.github.io/GaiaXPy-website/index.html) python package offering some useful functions to use the spectra.</p> <p>The content of the file and its basic usage are described in detail in Appendix C in the paper "Gaia Data Release 3: Processing and validation of BP/RP low-resolution spectral data", De Angeli, F. et al. A&A (2022).</p>
Climatology of deep O+ dropouts in the night-time F-region in solar minimum measured by a Langmuir Probe onboard the International Space Station
<p>Dataset contains data pertaining to an accepted JGR Space Physics article of the same name as the dataset. The link to the article is the following: <a href="https://doi.org/10.1029/2022JA030446">https://doi.org/10.1029/2022JA030446</a>. The dataset contains the high level data that were used to generate Figs 2-5 in the aforementioned paper. </p> <p>The observations recorded by ISS FPMU will be uploaded to NASA SPDF as well. A previous dataset already exists in CDAweb under ISS/FPMU. The O+ information will be added with the new upload.</p> <p>For any questions about the data or the tools used to derive the figures from the data, please take a look at the paper <a href="https://doi.org/10.1029/2022JA030446">https://doi.org/10.1029/2022JA030446</a>, or contact Shantanab Debchoudhury at debchous@erau.edu. </p> <p> </p>
Internal morphology point clouds of lunar pits
<p>This archive contains point clouds showing the internal geometry of six pits on the Moon. These point clouds were generated via manual feature matching in "oblique stereo pairs": pairs of Lunar Reconnaissance Orbiter Narrow Angle Camera (LROC NAC) images at two different off-nadir angles observing one wall of a pit under similar lighting conditions. These images have pixel scales of ~0.3-2.2 m/pixel, allowing the creation of point clouds with point spacing on the order of 5-10 m, depending on the density of identifiable features on the pit walls.</p> <p>The manually-generated point clouds from multiple stereo pairs have been merged together, and aligned to and merged with dense digital terrain models (DTMs) from more nadir-looking NAC stereo images where available, to produce point clouds that cover the upper walls, floors, and immediate surroundings of the pits.</p> <p>For a full description of the processing method, see Wagner and Robinson (2022), linked in this archive's metadata.</p> <p>This archive contains models for the following pits:<br> Lacus Mortis Pit (LMP)<br> Mare Ingenii Pit (MIP)<br> Mare Tranquillitatis Pit (MTP)<br> Marius Hills Pit (MHP)<br> Schlüter Crater Pit (SCP)<br> Southwest Mare Fecunditatis Pit (SWFP)</p>
Corpus of Decisions: Permanent Court of International Justice (CD-PCIJ)
<p> </p> <p><strong>Overview</strong></p> <p>The <strong>Corpus of Decisions: Permanent Court of International Justice (CD-PCIJ)</strong> collects and presents for the first time in human- and machine-readable formats all documents of PCIJ Series A, B and A/B of the <a href="https://www.icj-cij.org/en/pcij">Permanent Court of International Justice (PCIJ)</a>. Among these are judgments, advisory opinions, orders, appended minority opinions, annexes, applications instituting proceedings and requests for an advisory opinion. The International Court of Justice, the successor of the PCIJ, has kindly made available these documents <a href="https://www.icj-cij.org/en/pcij">on its website</a>.</p> <p>The <a href="https://www.icj-cij.org/en/pcij">Permanent Court of International Justice (PCIJ)</a> was the primary judicial organ of the League of Nations, the ill-fated predecessor of the United Nations, which existed from 1920 to 1946. Nonetheless, as the first international court with general thematic jurisdiction, the PCIJ influenced international law in profound ways that are still felt today. Every lawyer who sets out on the path of international law encounters epoch-defining opinions such as the <em>Lotus</em> and <em>Factory at Chorzów</em> decisions, but the Court's lesser-known jurisprudence and the appended minority opinions offer many more ideas and legal principles which are seldom appreciated today.</p> <p>This data set is designed to be complementary to and fully compatible with the <strong><a href="https://doi.org/10.5281/zenodo.3826445">Corpus of Decisions: International Court of Justice (CD-ICJ)</a></strong>, which is also available open access.</p> <p> </p> <p><strong>Citation</strong></p> <p>A peer-reviewed academic paper describing the construction and relevance of the data set entitled <strong><a href="https://doi.org/10.1111/jels.12313">'Introducing Twin Corpora of Decisions for the International Court of Justice (ICJ) and the Permanent Court of International Justice (PCIJ)'</a></strong> was published open access in the <a href="https://doi.org/10.1111/jels.12313">Journal of Empirical Legal Studies (JELS)</a>. It is also available in print at JELS 2022, Vol. 19, No. 2, pp. 491-524.</p> <p>If you use the data set for academic work, please cite both the JELS paper and the precise version of the data set you used for your analysis.</p> <p> </p> <p><strong>NEW in Version 1.1.0</strong></p> <ul> <li>Full recompilation of data set</li> <li>CHANGELOG and README converted to external markdown files</li> <li>Display of version number on Codebook and Compilation Report title pages fixed; correctly display semantic versioning</li> <li>The ZIP archive of source files includes the TEX files</li> <li>Config file converted to TOML format</li> <li>All R packages are version-controlled with {renv}</li> <li>Data set creation process cleans up all files from previous runs before a new data set is created</li> <li>Remove redundant color from violin plots</li> </ul> <p> </p> <p><strong>Updates</strong></p> <p>The CD-PCIJ will only be updated if <a href="https://github.com/SeanFobbe/cd-pcij/issues">errors are discovered</a>, enhancements are developed or in the unlikely event that the Court publishes additional documents within the collection ambit of the data set (PCIJ Series A, B and A/B).</p> <p>Notifications regarding new and updated data sets will be published on my academic website at <a href="https://seanfobbe.com/">www.seanfobbe.com</a> or via Mastodon at <a href="https://fediscience.org/@seanfobbe">@seanfobbe@fediscience.org</a></p> <p> </p> <p><strong>Recommended Variants</strong></p> <table summary="Recommended variants"> <thead> <tr> <th scope="col">Target Audience</th> <th scope="col">Recommended Variant</th> </tr> </thead> <tbody> <tr> <td><em>Practitioners</em></td> <td>PDF_ENHANCED_MajorityOpinions</td> </tr> <tr> <td><em>Traditional Scholars</em></td> <td>PDF_ENHANCED_FULL</td> </tr> <tr> <td><em>Quantitative Analysts</em></td> <td>CSV_TESSERACT_FULL</td> </tr> </tbody> </table> <p> </p> <p>Please refer to the Codebook regarding the relative merits of each variant. All variants are available in either English or French. Unless you have very specific needs you should only use the variants denoted 'ENHANCED' or 'TESSERACT' for serious work.</p> <p> </p> <p><strong>Features</strong></p> <ul> <li>Fully compatible with the <a href="https://doi.org/10.5281/zenodo.3826445">Corpus of Decisions: International Court of Justice (CD-ICJ)</a></li> <li>29 variables</li> <li>Public Domain (CC-Zero 1.0)</li> <li>Open and platform independent file formats (PDF, TXT, CSV)</li> <li>Extensive Codebook</li> <li><a href="https://zenodo.org/record/7051937/files/CD-PCIJ_1-1-0_CompilationReport.pdf?download=1">Compilation Report</a> explains construction and validation of the data set in detail</li> <li>Large number of diagrams for all purposes (see the 'ANALYSIS' archive)</li> <li>Diagrams are available as PDF (for printing) and PNG (for web display), tables are available as CSV for easy readability by humans and machines</li> <li>Secure cryptographic signatures</li> <li><a href="https://doi.org/10.5281/zenodo.7051937">Publication of full source code (Open Source)</a></li> </ul> <p> </p> <p><strong>Key Metrics</strong></p> <p><em>Version:</em> 1.1.0</p> <p><em>Temporal Coverage</em>: 22 May 1922 – 26 February 1940</p> <p><em>Documents:</em> 259 (English) / 261 (French)</p> <p><em>Tokens:</em> 1,296,536 (English) / 1,262,184 (French)</p> <p><em>Formats:</em> PDF, TXT, CSV</p> <p> </p> <p><strong>Source Code and Compilation Report</strong></p> <p>With every compilation of the full data set an <a href="https://zenodo.org/record/7051937/files/CD-PCIJ_1-1-0_CompilationReport.pdf?download=1">extensive Compilation Report</a> is created in a professionally layouted PDF format (comparable to the Codebook). The Compilation Report includes the Source Code, comments and explanations of design decisions, relevant computational results, exact timestamps and a table of contents with clickable internal hyperlinks to each section. The Compilation Report and Source Code are published under the same DOI: <a href="https://doi.org/10.5281/zenodo.7051937">https://doi.org/10.5281/zenodo.7051937</a></p> <p>For details of the construction and validation of the data set please refer to the Compilation Report.</p> <p> </p> <p><strong>Disclaimer</strong></p> <p>This data set has been created by Mr Seán Fobbe using documents available on the website of the International Court of Justice (<a href="https://www.icj-cij.org">https://www.icj-cij.org</a>). It is a personal academic initiative and is not associated with or endorsed by the International Court of Justice or the United Nations.</p> <p>The Court accepts no responsibility or liability arising out of my use, or that of third parties, of the documents and information produced, used or published on the Zenodo website. Neither the Court nor its staff members nor its contractors may be held responsible or liable for the consequences, financial or otherwise, resulting from the use of these documents and information.</p> <p> </p> <p><strong>Academic Publications (Fobbe)</strong></p> <p>Website — <a href="https://www.seanfobbe.com">www.seanfobbe.com</a></p> <p>Open Data — <a href="https://zenodo.org/communities/sean-fobbe-data/">zenodo.org/communities/sean-fobbe-data</a></p> <p>Code Repository — <a href="https://zenodo.org/communities/sean-fobbe-code/">zenodo.org/communities/sean-fobbe-code</a></p> <p>Regular Publications — <a href="https://zenodo.org/communities/sean-fobbe-publications/">zenodo.org/communities/sean-fobbe-publications</a></p> <p> </p> <p><strong>Contact</strong></p> <p>Did you discover any errors? Do you have suggestions on how to improve the data set? You can either post these to the <a href="https://github.com/SeanFobbe/cd-pcij/issues">Issue Tracker on GitHub</a> or write me an e-mail at <a href="mailto:fobbe-data@posteo.de">fobbe-data@posteo.de</a></p> <p> </p>
Buoyancy and Brownian motion of plastics in aqueous media: Predictions and implications for density separation and aerosol internal mixing state (Data Underlying Figures)
<p>Data underlying figures in A. Bain 'Buoyancy and Brownian motion of plastics in aqueous media: Predictions and implications for density separation and aerosol internal mixing state' RSC Environmental Science: Nano, 2022. </p> <p>CA = citric acid<br> NaCl = sodium chloride<br> AS = ammonium sulfate</p> <p>rho = difference in density (g/cm^3)<br> Rh = % relative humidity<br> radius is in micrometers<br> Pe0 are the calculated dimensionless Peclet numbers<br> </p>
Dataset Cumulative CO2 Emissions of International Transport
<p>This dataset considers the year 1783, when the first steamship was built, as the first year of the international transport CO2 emissions.</p> <p>The global cumulative CO2 emissions including international transport are converted to the 1875 baseline, similar to the Global Warming baseline (1850-1900). </p>
Metadata for "Publishing on the 'international' in the Philippines: a lexicometric inquiry" (Cruz, 2020)
<p><br>This repository contains supplementary data for keyness and topic modeling tests ran in connection with the following book chapter: </p> <p><span><span>·<span> </span></span></span><span>Cruz, F. A. (2020). Publishing on the ‘International’ in the Philippines: A Lexicometric Inquiry. In F. Cruz & N. M. Adiong (Eds.) <em>International Studies in the Philippines: Mapping New Frontiers in Theory and Practice </em>(p. 66-85). Oxon/New York: Routledge. doi: 10.4324/9780429056512. </span></p> <ul> <li>The topic selections published can be found under .csv files 12_TopicsInDocs.csv, 12_DocsInTopics.csv, 12_Topics_Words.csv and 30_TopicsInDocs.csv, 30_DocsInTopics.csv, and 30_Topics_Words.csv.</li> <li>Keyness and wordlists labeled per decade and are in .txt form. </li> <li>The file DataList.xls contains a list of journals and authors used in the overview. They appear according to the template<em> year-journalcode-surname, </em>with the following codes: <em>Philippine Political Science Journal</em> (PPSJ), <em>Kasarinlan</em> (KAS), <em>the Journal of Critical Perspectives on Asia</em> (JCPA), <em>Philippine Studies</em> (PS), and the <em>Asia Pacific Social Science Review</em> (APSSR). </li> </ul>
CLDF dataset derived from Bowern and Atkinson's "Internal Structure of Pama-Nyungan" from 2012
<p>Cite the source of the dataset as:</p> <blockquote> <p>Bowern, Claire, & Atkinson, Quentin. (2012). Computational Phylogenetics and the Internal Structure of Pama-Nyungan: Dataset [Data set]. Language. http://doi.org/10.1353/lan.2012.0081</p> </blockquote>
CLDF dataset derived from Robinson and Holton's "Internal Classification of the Alor-Pantar Language Family" from 2012
<p>Cite the source of the dataset as:</p> <blockquote> <p>Robinson, Laura C. and Holton, Gary (2012): Internal Classification of the Alor-Pantar Language Family Using Computational Methods Applied to the Lexicon. Language Dynamics and Change 2.2. 123-149.</p> </blockquote>
Thermal decomposition data of uranium containing microspheres produced via internal gelation and ammonium diuranate powder
<p>A combination of simultaneous thermal analysis, evolved gas analysis and non-ambient XRD techniques was used to characterise and investigate the thermal decomposition behaviour in the NH<sub>3</sub> − UO<sub>3</sub> − H<sub>2</sub>O class of materials.</p> <p>One compound was prepared according to a typical ammonium diuranate precipitation reaction, and could be identified as 3UO<sub>3</sub>·NH<sub>3</sub>·5H<sub>2</sub>O. Microspheres prepared by the sol-gel method via internal gelation were associated to the composition 3UO<sub>3</sub>·2NH<sub>3</sub>·4H<sub>2</sub>O under the specified conditions.</p> <p>The products were analysed using the techniques listed below, the resulting data are part of this dataset.</p> <ul> <li>TGA, combined with EGA-MS (<em>T<sub>max</sub></em> = 1300 °C, heating rate = 2 °C/min)</li> <li>TG-DSC, combined with EGA-MS (<em>T<sub>max</sub></em> = 1300 °C, heating rate = 10 °C/min)</li> <li>ambient XRD (dried products after synthesis)</li> <li><em>in-situ</em> high temperature XRD (including initial and final scans, taken at 35 °C) <ul> <li><em>T<sub>max</sub></em> for 3UO<sub>3</sub>·NH<sub>3</sub>·5H<sub>2</sub>O = 1300 °C; <em>T<sub>max</sub></em> for 3UO<sub>3</sub>·2NH<sub>3</sub>·4H<sub>2</sub>O = 650 °C</li> <li>Samples measured directly on a Pt/Rh heating strip (Pt/Rh phase visible in patterns, blank scan included)</li> </ul> </li> </ul>
Science ready spectra and their best-fitting models described in the research paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al.
<p>Science ready spectra of nine ultra-diffuse galaxies in the Coma cluster collected with the Binospec multi-object spectrograph and their best-fitting PEGASE.HR templates obtained using the NBursts full spectrum fitting code. These spectra were presented in the paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al. accepted for publication in the Astrophysical Journal on Sep/3/2019 (arXiv:1901.05489).</p> <p>Each spectrum is presented as a binary FITS table, which contains a spectrum (wavelength, flux, uncertainties), best-fitting template, best-fitting parameters (radial velocity, age, metallicity), and a pixel mask used in the fitting procedure. For six galaxies there are two files provided: (i) one-dimensional optimally extracted integrated spectrum and (ii) two dimensional spectrum for spatially resolved radial velocity information. For the remaining three galaxies, only spatially resolved spectra are provided.</p>
Absolute frequency measurement of the 1 S 0 – 3 P 0 transition of 171 Yb with a link to International Atomic Time
<p>Dataset of the INRIM Yb clock measured respect to TAI collected between October 2018 to February 2019.<br> </p> <p>YbvsSIm-viaEAL.dat: montly data with columns</p> <pre><code>MJDstart: start date in MJD MJDstop: stop date in MJD MJDmed: mid point date in MJD MJDbaro: baricenter date in MJD Ybduty: Yb clock duty time y0=Yb/HM3: ratio between Yb clock and H Maser 03 u0: statistical uncertainty of y0 uB0: systematic uncertainty of y0 y1=extrap.: extrapolation over HM3 udead1: uncertainty of y1 from dead times udrift1: uncertainty of y1 from HM3 drift HM3drift/d: HM3 drift per day udrift/d: uncertainty of HM3 drift y2=HM3/UTCit: ratio between HM3 and UTC(IT) u2: uncertainty of y2 y3=UTCit/TAI: ratio between UTC(IT) and TAI u3: uncertainty of y3 y4=EALext.: extrapolation over EAL udead4: uncertainty of y4 from dead times udrift4: uncertainty of y4 from EAL drift y5=-d: ratio between TAI and the SI second from Circular T u5: uncertainty of y5 uA5: statistical uncertainty of y5 uB5: systematic uncertainty of y5 y=Yb/SI: final ratio beween the Yb clock and the Si second uA: not used uB: not used u: uncertainty of y </code></pre> <p>YbvsTAId.dat: data every 5 days with columns:</p> <pre><code>MJDstart: start date in MJD MJDstop: stop date in MJD MJDmed: mid point date in MJD MJDbaro: baricenter date in MJD Ybduty: Yb clock duty time y0=Yb/HM3: ratio between Yb clock and H Maser 03 u0: statistical uncertainty of y0 uB0: systematic uncertainty of y0 y1=extrap.: extrapolation over HM3 udead1: uncertainty of y1 from dead times udrift1: uncertainty of y1 from HM3 drift HM3drift/d: HM3 drift per day udrift/d: uncertainty of HM3 drift y2=HM3/UTCit: ratio between HM3 and UTC(IT) u2: uncertainty of y2 y3=UTCit/TAI: ratio between UTC(IT) and TAI u3: uncertainty of y3 y=Yb/TAI: final ratio beween the Yb clock and TAI uA: not used uB: not used u: uncertainty of y </code></pre> <p> </p>
Validation of Emission Spectroscopy Gas Temperature Measurements Using a Standard Flame Traceable to the International Temperature Scale of 1990 (ITS-90)
<p>Data underpinning the associated publication (https://doi.org/10.1007/s10765-019-2557-6) on accurate traceable measurement of post-flame temperatures.</p>
The International Transport Energy Modeling (iTEM) Open Data & Harmonized Transport Database
<p>This dataset and documentation contains detailed information of the iTEM Open Database, a harmonized transport data set of historical values, 1970 - present. It aims to create transparency through two key features:</p> <ul> <li>Open-Data: Assembling a comprehensive collection of publicly-available transportation data</li> <li>Open-Code: All code and documentation will be publicly accessible and open for modification and extension. <a href="https://github.com/transportenergy">https://github.com/transportenergy</a></li> </ul> <p>The iTEM Open Database is comprised of individual datasets collected from public sources. Each dataset is downloaded, cleaned, and harmonised to the common region and technology definitions defined by the iTEM consortium https://transportenergy.org. For each dataset, we describe the name of the dataset, the web link to the original source, the web link to the cleaning script (in python), variables, and explain the data cleaning steps (which explains the data cleaning script in plain English).</p> <p>Shall you find any problems with the dataset, please report the issues here <a href="https://github.com/transportenergy/database/issues">https://github.com/transportenergy/database/issues</a>. </p> <p> </p>
Evaluation of DEM simulations measuring internal friction and particle movement
<p>The data contains evaluated data from particle motion simulations during the internal friction test using a rotary shear cell. These are several models with different input parameters. The data includes a version of a scientific article on the subject.</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.