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362 results for “Diagrams”
Nonperturbative phase diagram of two-dimensional N=(2,2) super-Yang--Mills theory --- data release
<p>This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating two-dimensional supersymmetric SU(N) Yang--Mills theory with four supercharges. See the README for further information.</p>
RDF Representation of RNA Metabolism Evolution data - version 3 (diagrammed in https://zenodo.org/deposit/47641/)
<p>Version 3 (replaces http://doi.org/10.5281/zenodo.50496)<br> <br> Protein complexes involved in RNA Metabolism; individual proteins and their orthologues through a wide range of fungal species spanning much of the kingdom (using yeast as the primary seed for orthology search, and using the EMBL-EBI orthologue database to identify orthologues). For each family of orthologues, the protein domain structure is determined, and then the presence/absence of that domain is evaluated in each of the species. The data is presented in RDF, and is visualized in the form of Heat Maps in http://doi.org/10.5281/zenodo.47641</p>
Plant Atlas 2020 — British altitude-by-latitude diagrams
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind the British altitude-by-latitude diagrams presented in the Plant Atlas book (Stroh et al., 2023) and on the website (www.plantatlas2020.org).</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>
Dataset for "Analysis of cardiac arrhythmia sources using Feynman diagrams"
<p>This archive contains the numerical methods presented in the publication "Analysis of cardiac arrhythmia sources using Feynman diagrams" as well as the data sets these methods have been applied on. The Python module for Ithildin contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (.py files). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The other files contain simulation results from several finite differences simulations of the mono-domain model.</p> <p>Please cite this paper when using the implementation: Arno L, Kabus D, Dierckx H (2023) Analysis of cardiac arrhythmia sources using Feynman diagrams.<a href="https://doi.org/10.48550/arXiv.2307.01508">https://doi.org/10.48550/arXiv.2307.01508</a></p>
InterFlex WP3 data set_ SGAM diagrams_interface data base_service identification
<p>This data set contains the InterFlex demonstration use case descriptions in the form of SGAM diagrams as well as the interface data base which was used for different deliverables and the repective results within work package 3 "Impact and deployment analysis of the innovative solutions". There has also been one publication in this regard ( <a href="https://doi.org/10.1109/INDIN.2018.8472053">10.1109/INDIN.2018.8472053</a>)</p> <p>Furthermore, it includes the service mappings for the InterFlex (under GA 731289) demonstrators as an input for different WP3 3.1 subtasks, deliverbale (D3.2) as well as a scientific publication (ICRERA 2019, ID 239, online ISSN: 2572-6013)</p>
Evolution of binary stars on the HR diagram
<p>We studied the evolution of different classes of binary objects that can be observed in a typical stellar cluster, using a grid of detailed massive binary evolution models (Wang et al. 2020) with an initial metallicity of that of the Small Magellanic Cloud (SMC). To compute the models, we use the 1D stellar evolution code MESA (Modules for Experiments in Stellar Astrophysics, Paxton et al. 2011, 2013, 2015, 2018, version 8845).</p> <p>Our grid consists of 2078 binary models with initial primary masses greater than 5 MSun. This translates to a total cluster mass of ∼10^5 MSun in stars between 0.1 to 100 MSun (assuming a binary fraction of 1. The grid covers an initial mass ratio (mass of secondary over the mass of primary, hence always less than 1) range of 0.3-0.95 and orbital periods of 1 day to 8.6 yrs. In this range of masses, mass ratios, and orbital periods, a Monte Carlo method was used to sample initial binary model parameters assuming a Saltpeter initial mass function (IMF) (Salpeter 1955), a flat distribution of mass ratios and logarithm of initial orbital periods.</p> <p>Translucent grey circles indicate pre-interaction binaries - binaries that have not yet undergone a mass transfer phase via Roche Lobe overflow. Hence, the grey line traced on the HRD by the collection of pre-interaction binaries together essentially denotes the Single Star Isochrone (SSI). Grey squares indicate the merger product when we expect a binary to merge during the Case A mass transfer phase. We note that we only model and follow the evolution of Main Sequence mergers and not the mergers coming from the Case B channel. As such, the number of mergers in each frame is likely to be the lower limit to the number of merger products. Single star tracks at SMC metallicity are also plotted in the background from 5-100 MSun. When any component of a binary system completes core carbon burning at a certain cluster age (or helium-burning for the most massive stars), we mark the occurrence of a supernova by putting an ‘*’ symbol in the HRD, that fades over three time steps in the animation.</p> <p>Mass donors and accretors are shown with triangles and diamonds respectively. The binaries that are interacting or have interacted during their Main Sequence lifetime (i.e. the Case A models) are shown in colour, with the colour coding describing the rotation of the component stars (v rot /v crit ) of the binary. All donors and accretors of binaries that have interacted via Case B/C are shown in greyscale. A black frame around the triangles for the mass donor indicates that the surface Hydrogen mass fraction is less than 0.1. Similarly, a black frame around the diamonds for the mass accretors indicates that the surface Helium mass fraction is greater than 0.3. The current age of the cluster is displayed in the center bottom with a time bar that fills up as the animation moves forward in time.</p> <p>In the table above the legend, (from top) we indicate the number of Algol systems i.e. in the nuclear timescale slow Case A mass transfer phase, the number of Main Sequence merger products that are still burning hydrogen at the core, and the number of cool red supergiants (log T e f f < 3.7) at the respective time frames. Moreover, in the next two rows, we denote the number of OB stars that has a neutron star or black hole companion, arising from Case A and Case B evolution channels, at that cluster age. In the next row, we indicate the number of supernovae that have already happened until the current cluster age of the animation. We report the numbers of supernovae occurring from Case A and Case B donors separately from the other progenitors as we expect that the donor stars that have interacted via the Case A or Case B channels will be highly stripped of their envelopes and will likely be progenitors to stripped-envelope supernova (of type Ib and IIb) while the remaining will be progenitors to type IIp/n. The last line gives the number of pre-interacting binaries having luminosity lesser than the brightest non-interacted binary component by up to 1.5 dex.</p> <p>The individual components of the binaries that are in the semi-detached configuration and are interacting via the nuclear timescale slow Case A phase are joined together with solid black lines with an arrow indicating the direction of mass transfer (donor to the accretor). On the other hand, the individual components that have interacted in the past via Case A or B mass transfer are connected to each other with grey dotted lines. These are usually the systems where the donor star is a post-Main Sequence helium star and the accretor is a rejuvenated star still burning hydrogen at the core. The black and white dots over the Case A and B accretors denote that the donors of those binaries have imploded/exploded to form a black hole or neutron star respectively.</p>
Data Librarianship Venn Diagram
<p>A Venn diagram is used in mathematics to graphically symbolise properties, axioms, and problems concerning sets and their theories. Thus, this study applied a Venn diagram to describe a theoretical background for data librarianship as a field relating to information science, e-science, and data science. Data librarianship is a new area of study that is located within the thematic core of the triad. The first set on the proposed Venn diagram is information science. Information technology concepts are fundamental to the comprehension of data librarianship in the context of information science. The second set is e-science, an innovative field that incorporates software and hardware that have been built by technology into science. The third set is data science, a way of representing data-driven research in the most diverse knowledge fields; it is a set of the skills, methods, techniques, and technologies of statistics and computer science used to extract knowledge and to create new products and services from data. To ensure greater comprehension of data librarianship, a relatively new field, we suggest some reading materials. The formal discipline of data librarianship is yet to be established in many countries across the globe. Thus, there is a lack of adequate information and certification on data librarianship.</p>
Flow diagram for analysis of high-throughput sequencing data
<p>Tex code and resulting pdf image, summarising the data processing pipeline of high-throughput sequencing data (fastq format files), through mapping the data to a reference genome, and then discovery and genotyping of sequence variants. The latter stage uses both 'GATK Haplotype Caller' for smaller variants, such as single-nucleotide polymorphisms and insertion-deletion polymorphisms, and Genomestrip for variants such as deletions and duplications greater than 1000 nucelotide bases in length. Note that the flow diagram is intended to represent what steps were take in the study, and does not necessarily represent the current optimum methods.</p> <p>The manuscript for which this image is a part of can be found open-access at F1000 Research "Whole genome resequencing of a laboratory-adapted <em>Drosophila melanogaster </em>population sample" https://f1000research.com/articles/5-2644/v1 doi: 10.12688/f1000research.9912.1</p> <p> </p>
Sketches and Diagrams in Practice — Supplementary Material
<p>Sketches and diagrams play an important role in the daily work of software developers. In our paper "Sketches and Diagrams in Practice" we present the results of our <strong>research on the usage of sketches and diagrams in software engineering practice</strong>. We focused especially on their relation to the core elements of a software project, the source code artifacts. Furthermore, we wanted to assess how helpful sketches are for understanding the related source code. We intended to find out if, how, and why sketches and diagrams are archived and are thereby available for future use. Software is created with and for a wide range of stakeholders. Since sketches are often a means for communicating between these stakeholders, we were not only interested in sketches and diagrams created by software developers, but by all software practitioners, including testers, architects, project managers, as well as researchers and consultants. In a <strong>survey with 394 software ‘practitioners’</strong>, we mainly asked questions about the the last sketch or diagram that they had created. Contrary to our expectations and previous work, the majority of sketches and diagrams contained at least some UML elements. However, most of them were informal. The most common purposes for creating sketches and diagrams were designing, explaining, and understanding, but analyzing requirements was also named often. More than half of the sketches and diagrams were created on analog media like paper or whiteboards and have been revised after creation. Most of them were used for more than a week and were archived. About half of the sketches were rated as helpful to understand the related source code artifact(s) in the future. Our study complements a number of existing studies on the use of sketches and diagrams in software development, which analyzed the above aspects only in parts and often focused on an academic environment, a single company, open source projects, or were limited to a small group of participants.</p> <p>The questionnaire for the online survey was online from August 28, 2013 until December 31, 2013. Further information on our research design and research questions can be found in the referenced paper. This dataset contains the questionnaire, the data we collected during this survey, and a basic R script that can be used as a starting point for validating our results and further exploring the data. This data set has been reviewed and accepted by the Artifact Evaluation Committee of FSE 2014. Since we assured our participants that their data is handled confidentially, only the quantitative data is directly available here. If you are also interested in the qualitative data from our survey, don’t hesitate to contact the authors.</p>
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
<p><strong>CGHD</strong></p> <p>This dataset contains images of hand-drawn electrical circuit diagrams as well as accompanying annotation and segmentation ground-truth files. It is intended to train (e.g. ANN) models for extracting electrical graphs from raster graphics.</p> <p><strong>Content</strong></p> <ul> <li><strong>3.269</strong> Annotated Raw Images<br> <ul> <li>31 Main Drafters <ul> <li>12 Circuits per Drafter</li> <li>2 Drawings per Circuit</li> <li>4 Photos per Drawing</li> </ul> </li> <li>Additional Circuit Images provided by TU Dresden (from Real-World Examinations, Drafter 0)</li> <li>Additional Circuit Images provided by RPTU Kaiserslautern-Landau (Drafter -1)</li> <li><strong>248.020 </strong>Bounding Box Annotations</li> <li><strong>40.711</strong> Rotation Annotations</li> <li><strong>1.437</strong> Mirror Annotations</li> <li><strong>85.417</strong> Text String Annotations (equals <strong>93.74%</strong> completeness)<br> <ul> <li><strong>289.850</strong> Text Characters</li> <li><strong>98</strong> Character Types (Upper/Lower Case Latin, Numbers, Special Characters)</li> </ul> </li> </ul> </li> <li><strong>320</strong> Binary Segmentation Maps<br> <ul> <li>Strokes vs. Background</li> <li>Accompanying Polygon Annotation Files</li> <li><strong>22.929</strong> Polygon Annotations</li> </ul> </li> <li><strong>59 </strong>Object Classes</li> <li><strong>Scripts</strong> for Data Loading, Statistics, Consistency Check and Training Preparation</li> </ul>
Dataset for a tutorial dedicated to the Sankey diagram
<p>The dataset is a standard table representing steps of patient care. It contains 4 standard variables : a patient identifier, the label of the step, the start date and the end date of the step. One patient may have several steps. The step labels are synthetic (i.e., A, B, C, D, E, F) and may correspond to passages in care unit, successive administrations of drugs or carrying out of medical procedures.</p> <p>This dataset is used for a tutorial dedicated to the Sankey diagram : https://gitlab.com/d8096/health_data_science_tutorials/-/tree/main/tutorials/sankey_diagram</p>
MAL04 Causal loop diagrams for the Charente River basin and its coastal zone (France)
<p>This dataset includes the causal loop diagrams (CLDs) developed by the H2020 COASTAL project’s MAL #4 for the Charente River basin and its coastal zone. These CLDs represent the functioning of the territory in a systemic way, highlighting its main components and interactions among them. The CLDs are the result of multiple sectoral and multi-actor workshops during which stakeholders from different sectors discussed and collaborated to establish a common vision of the land-sea system. The CLDs concern the whole territory and some specific sectors.</p>
Lattice diagrams of elastic maps
<p>This collection of figures is a supplement to the presentation by Gupta and Tape (2024) and builds upon the work of Tape and Tape (2021, 2022, 2024). The collection contains this file, 28 composite pdf files, and three additional composite pdf files. We examine 28 elastic maps, each of which is represented by a 6 x 6 symmetric matrix having 21 parameters (in general). For each map we calculate the closest elastic map in each of 8 symmetry classes, and we depict these 8 elastic maps within a lattice diagram.</p>
First-principles prediction of the Co-Al phase diagram including configurational, vibrational and magnetic contributions
<p>Documentation for the Dataset used in the publication entitled "First-principles prediction of the Co–Al phase diagram including configurational, vibrational and magnetic contributions" <br>** These datasets comprise all configurations used in Co-Al system and their formation enthalpies at different temperatures, where configurational, vibrational and magnetic contributions were considered. Hcp Co and fcc Al were used as reference states. **<br>** More details about the methodology can be found in the paper "First-principles prediction of the Co-Al phase diagram including configurational, vibrational and magnetic contributions, Journal of Materials Research and Technology, 2024" **</p> <p>1. bcc-Co-Al.zip<br>- Description: bcc-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with bcc lattice used to fit the cluster expansion (CE). Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p>2. fcc-Co-Al.zip<br>- Description: fcc-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with fcc lattice used to fit the CE. Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p>3. hcp-Co-Al.zip<br>- Description: hcp-Co-Al.zip is a compressed folder. It contains Al1-xCox configurations with hcp lattice used to fit the CE. Each folder contains a POSCAR file that correspons to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p><br>4. Formation enthalpies of bcc-Co-Al.xlsx<br>- Description: Formation enthalpies of bcc lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable description by columns:<br> 1-(Folder name) - type: numerical (integer)<br> Description: Each folder name in the bcc-Co-Al.zip corresponds to a configuration.<br> 2- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 3- (H_f^(conf)(DFT) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 0 K calculated by density functional theory (DFT) following eq.(18) in the paper.<br> 4- (H_f^(conf)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 0 K fitted by CE. <br> 6- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 7- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K calculated by DFT, the bond length vs. bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 8- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K fitted by CE. <br> 10- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 11- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K calculated by DFT, the bond length vs. bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 12- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K fitted by CE. <br> 14- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 15- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1200 K calculated by DFT, the bond length vs.bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 16- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1200 K fitted by CE.<br> 18- (at. fraction of Co (%)) - type: numerical (float)<br> Description: The atomic fraction of Co in each configuration.<br> 19- (H_f^(conf+vib+mag)(Cal.) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1600 K calculated by DFT, the bond length vs.bond stiffness relationship and Monte Carlo simulation of the Heisenberg Hamiltonian following eq.(20) in the paper.<br> 20- (H_f^(conf+vib+mag)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1600 K fitted by CE.</p> <p><br>5. Formation enthalpies of fcc Co-Al.xlsx<br>- Description: Formation enthalpies of fcc lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable descriptions by columns are the same as those of Formation enthalpies of bcc-Co-Al.xlsx.</p> <p><br>6. Formation enthalpies of hcp-Co-Al.xlsx<br>- Description: Formation enthalpies of hcp lattice in Co-Al system at different temperatures, which includes the effect of lattice vibration and magnetic excitation. Fcc Al and hcp Co were used as reference states.</p> <p>- Variable descriptions by columns are the same as those of Formation energies of bcc-Co-Al.xlsx.</p> <p><br>7. ECIs of bcc-Co-Al at different temperatures.txt<br>- Description: ECIs of bcc lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>8. ECIs of fcc-Co-Al at different temperatures.txt<br>- Description: ECIs of fcc lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>9. ECIs of hcp-Co-Al at different temperatures.txt<br>- Description: ECIs of hcp lattice in Co-Al system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that configurational, vibrational and magnetic contributions were considered.</p> <p><br>10. Clusters of bcc-Co-Al.txt<br>- Description: Cluster information of bcc lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p> <p><br>11. Clusters of fcc-Co-Al.txt<br>- Description: Cluster information of fcc lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p> <p><br>12. Clusters of hcp-Co-Al.txt<br>- Description: Cluster information of hcp lattice in Co-Al system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p>
First principles prediction of the Al-Li phase diagram including configurational and vibrational entropic contributions
<p>Documentation for the Dataset used in the publication entitled "First principles prediction of the Al-Li phase diagram including configurational and vibrational entropic contributions" <br>** These datasets comprise all configurations used in Al-Li system and their formation enthalpies at different temperatures, where both configurational and vibrational contribution were considered. Bcc Li and fcc Al were used as reference state. **<br>** More details about the methodology can be found in the paper "Wei Shao, Sha Liu, Javier LLorca, First principles prediction of the Al-Li phase diagram including configurational and vibrational entropic contributions, Computational Materials Science, 2023"**</p> <p>1. bcc-Al-Li.zip<br>- Description: bcc-Al-Li.zip is a compressed folder. It contains Al1-xLix configurations with bcc lattice used to fit the cluster expansion (CE). Each folder contains a POSCAR file that corresponds to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p><br>2. fcc-Al-Li.zip<br>- Description: fcc-Al-Li.zip is a compressed folder. It contains Al1-xLix configurations with fcc lattice used to fit the CE. Each folder contains a POSCAR file that corresponds to a configuration. The POSCAR can be opened with Notepad and visualized with VESTA software.</p> <p>3. Formation enthalpies of bcc-Al-Li.xlsx<br>- Description: Formation enthalpy of each configuration in bcc Al-Li system at different temperatures, which includes the effect of lattice vibration. Bcc Li and fcc Al were used as reference state.</p> <p>- Variable descriptions by columns:<br> 1-(Folder nam) - type: numerical (integer)<br> Description: Each folder name in the bcc-Al-Li.zip corresponds to a configuration.<br> 2- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 3- (H_f^(conf)(DFT) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 0 K calculated by density functional theory (DFT).<br> 4- (H_f^(conf)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration fitted by CE at 0 K. <br> 6- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 7- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 100 K calculated by DFT and bond length vs. bond stiffness relationship (L-S).<br> 8- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 100 K fitted by CE. <br> 10- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 11- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 200 K calculated by DFT and L-S.<br> 12- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 200 K fitted by CE. <br> 14- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 15- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 300 K calculated by DFT and L-S.<br> 16- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 300 K fitted by CE.<br> 18- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 19- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K calculated by DFT and L-S.<br> 20- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 400 K fitted by CE.<br> 22- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 23- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 500 K calculated by DFT and L-S.<br> 24- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 500 K fitted by CE. <br> 26- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 27- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 600 K calculated by DFT and L-S.<br> 28- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 600 K fitted by CE.<br> 30- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 31- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 700 K calculated by DFT and L-S.<br> 32- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 700 K fitted by CE.<br> 34- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 35- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K calculated by DFT and L-S.<br> 36- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 800 K fitted by CE. <br> 38- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 39- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 900 K calculated by DFT and L-S.<br> 40- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 900 K fitted by CE.<br> 42- (at. fraction of Li (%)) - type: numerical (float)<br> Description: The atomic fraction of Li in each configuration.<br> 43- (H_f^(conf+vib)(DFT+L-S) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1000 K calculated by DFT and L-S.<br> 44- (H_f^(conf+vib)(CE) (eV/atom)) - type: numerical (float)<br> Description: Formation enthalpy of each configuration at 1000 K fitted by CE.</p> <p>4. Formation enthalpies fcc-Al-Li.xlsx<br>- Description: Formation enthalpy of each configuration in fcc Al-Li system at different temperatures, which includes the effect of lattice vibration. Bcc Li and fcc Al were used as reference state.</p> <p>- Variable descriptions by columns are the same as those of Formation enthalpies of bcc-Al-Li.xlsx.</p> <p><br>5. ECIs of bcc-Al-Li at different temperatures.txt<br>- Description: ECIs of bcc lattice in Al-Li system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that both configurational and vibrational contributions were considered.</p> <p><br>6. ECIs of fcc-Al-Li at different temperatures.txt<br>- Description: ECIs of fcc lattice in Al-Li system from 0 to 2000 K with increment step of 10 K. The ECIs at different temperatures are separated by blank lines. ECIs at 0 K means that only configurational contribution was considered. ECIs at finite temperature means that both configurational and vibrational contributions were considered.</p> <p><br>7. Clusters of bcc-Al-Li.txt<br>- Description: Cluster information of bcc lattice in Al-Li system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p> <p><br>8. Clusters of fcc-Al-Li.txt<br>- Description: Cluster information of fcc lattice in Al-Li system. Each cluster is separated by a blank line. Each cluster contains: multiplicity; Length of the longest pair within the cluster; number of points in cluster; coordinates of point. They are arranged in a row.</p>
Sample Records (PRISMA Checklist and Flow diagram): Disinformation as a strategy of obstructionism on climate action: analysis of the limitations of the scientific literature for a systemic understanding of the phenomenon
<p>This dataset includes: the PRISMA Checklist and the <span>PRISMA Flow diagram of the study titled: Disinformation as an obstructionist strategy in climate change mitigation: A review of the scientific literature for a systemic understanding of the phenomenon.</span></p>
Canonical Decision Diagrams Modulo Theories - Benchmarking
<p>This archive contains all data and results that were used to benchmark the approach Canonical Decision Diagrams Modulo Theories. The archive contains the following files: 3 subfolders, one for each dataset that was used in the benchmarking process, each one containing a "data" subfolder which contains the problems (in SMT/SMT2 format) and some output folders which contain JSON files describing in detail the results of each run on the problems.</p>
HadISDH v2.0.0 process diagram
Flow chart of dataset processing for HadISDH-land v2.0.0 from hourly quality-controlled values to monthly mean homogenised station values. [Figure 1 of Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014.]
Thermal Phase Diagram of the Square Lattice Ferro-antiferromagnetic J1−J2 Heisenberg Model Data
<p>This repository contains raw data for the article "Thermal Phase Diagram of the Square Lattice Ferro-antiferromagnetic J1-J2 Heisenberg Model", Olivier Gauthé and Frédéric Mila, 2023.</p><p>Raw data is provided as json files into the archive data_PEPS_ferroJ1-J2/ subdirectory.zip. The file "data_mswt_ferroJ1-J2.json" contains modified spin wave theory data.</p><p><br>The jupyter notebook "plot_ferroJ1-J2.ipynb" provides scripts to load and visualize data, as well as reproducing figures from the paper.<br>It can be executed using<br>python version 3.9.17<br>numpy version 1.24.3<br>scipy version 1.10.1</p><p>All the data was generated using finite temperature PEPS. Refer to the paper for a complete methodological discussion. The source code to produce PEPS data is available upon reasonable request.</p><p>Olivier Gauthé<br>October 2023</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.