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5,526 results for “information”
Dargwa: basic information on phonetics
<p>This lecture is part of the lecture series: Glottothèque: Languages of the Anatolia, Caucasus, Iran, Mesopotamia; grammatical snippets online (electronic resource). Bamberg, Cambridge, Göttingen, Moscow, Nicosia, Paris: LACIM network, at https://spw.unigoettingen.de/projects/lacim/, edited by Christiane Bulut, Anaïd Donabédian-Demopoulos, Geoffrey Haig, Geoffrey Khan, Pollet Samvelian, Stavros Skopeteas, Nina Sumbatova.</p>
The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials
<p>This repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author)</p> <p>Published in: <em>Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22)</em>, March 14--18, 2022, Regensburg, Germany.</p> <p>The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials:</p> <ol> <li> <p>Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers.</p> </li> <li> <p>PDF versions of the six visualizations used in the experiment</p> </li> </ol>
Replication Package for "Evaluating SZZ Implementations Through a Developer-informed Oracle"
<p>This is the replication package for the paper "Evaluating SZZ Implementations Through a Developer-informed Oracle" published in the 43rd International Conference on Software Engineering (ICSE 2021). <a href="https://arxiv.org/abs/2102.03300">https://arxiv.org/abs/2102.03300</a></p>
Supplementary Information: Investigating the detectability of hydrocarbons in exoplanet atmospheres with JWST
<p>Supplementary information containing additional figures of the journal article 'Investigating the detectability of hydrocarbons in exoplanet atmospheres with JWST' by D. Gasman, M. Min, and K. L. Chubb, published in Astronomy & Astrophysics (2022).</p>
Supplementary Information for Biogeography a key influence on distal forelimb variation in horses through the Cenozoic
<p>Locomotion in terrestrial tetrapods is reliant on interactions between distal limb bones (e.g. metapodials and phalanges). The metapodial-phalangeal joint in horse (Equidae) limbs is highly specialised, facilitating vital functions (shock absorption; elastic recoil). While joint shape has changed throughout horse evolution, potential drivers of these modifications have not been quantitatively assessed. Here, I examine the morphology of the forelimb metacarpophalangeal (MCP) joint of horses and their extinct kin (palaeotheres) using geometric morphometrics and disparity analyses, within a phylogenetic context. I also develop a novel alignment protocol that explores magnitude of shape change through time, correlated against body mass and diet. MCP shape was poorly correlated with mass or diet proxies, although significant temporal correlations were detected at 0–1 Ma intervals. A clear division was recovered between New and Old World hipparionin MCP morphologies. Significant changes in MCP disparity and high rates of shape divergence were observed during the Great American Biotic Interchange, with the MCP joint becoming broad and robust in two separate monodactyl lineages, possibly exhibiting novel locomotor behaviour. This large scale study of MCP joint shape demonstrates the apparent capacity for horses to rapidly change their distal limb morphology to overcome discrete locomotor challenges in new habitats. </p>
Model-informed target product profiles of long-acting- injectables for use as seasonal malaria prevention: code and simulation data
<p>This simulation data set and code reproduces the Figures and analysis of PLOS Global Public Health peer-reviewed article </p> <p><strong>Model-informed target product profiles of long-acting-injectables for use as seasonal malaria prevention</strong></p> <p>Authors:</p> <p>Lydia Burgert<sup>1, 2</sup>, Theresa Reiker<sup>1, 2</sup>, Monica Golumbeanu<sup>1,2</sup>, Jörg J. Möhrle<sup>1, 2, 3</sup>, Melissa A. Penny*<sup>1, 2</sup></p> <p> </p> <p><sup>1</sup> Swiss Tropical and Public Health Institute, Basel, Switzerland</p> <p><sup>2</sup> University of Basel, Basel, Switzerland</p> <p><sup>3 </sup>Medicines for Malaria Venture, Geneva, Switzerland</p> <p>*Corresponding author: <a href="mailto:melissa.penny@unibas.ch">melissa.penny@unibas.ch</a></p>
Groundwater quality analysis in Bwaise informal settlement, Kampala
<p>Data provides water quality analysis on hydro-chemical, antibiotics and microbial properties of groundwater underlying an informal settlement of Bwaise, Kampala (Uganda)</p>
Stormtime ring current heating of the ionosphere and plasmasphere Numerical information for the figures
<p>This archive contains data files needed to reproduce selected figures from the following manuscript:</p> <p>Stormtime ring current heating of the ionosphere and plasmasphere<br> by J. Krall, M.-C. Fok, J. D. Huba, and A. Glocer</p> <p>This manuscript was submitted to Journal of Geophysical Research: Space<br> Physics in February, 2022</p> <p>Specifically, this archive contains one IDL file for each figure. If run, the<br> IDL script reads one or more of the datasets and re-creates the figure.<br> Each IDL script is a text-formatted file with a header that explains each file.<br> Individual datasets are either text-formatted or unformatted FORTRAN data<br> files. Also included is a namelist file giving SAMI3 input parameters.</p>
Supplementary Information for Coverage of in situ climatological observations in the world's mountains (Thornton et al.)
<p>Supplementary Information for "Coverage of in situ climatological observations in the world's mountains" (Thornton et al., Frontiers in Climate).</p>
Project files provided as supporting information to the manuscript "Making sense of complex systems through resolution, relevance, and mapping entropy"
<p>README file to the project files provided as supporting information to the manuscript “Making sense of complex systems through resolution, relevance, and mapping entropy”</p> <p>Feb. 25, 2022</p> <p>Authors: Roi Holtzman, Marco Giulini and Raffaello Potestio</p> <p>==================================</p> <p>The dataset contains the following files:</p> <p>- A README file with the description of the pymap program for describing how different selections of *N* out of *n* degrees of freedom (mappings) affect the amount of information retained about a full data set.<br> - The pymap.py program<br> - The pymap.yml support file<br> - The data.tar tarball with the setup data<br> - The results.tar tarball with the output data<br> ===</p>
Supplementary Information: Exoplanet atmosphere retrievals in 3D using phase curve data with ARCiS: application to WASP-43b. Chubb and Min, A&A (2022).
<p>Supplementary information containing additional figures of the journal article 'Exoplanet atmosphere retrievals in 3D using phase curve data with ARCiS: application to WASP-43b' by K. L. Chubb and M. Min, published in Astronomy & Astrophysics (2022).</p>
Repeated information of benefits reduces COVID-19 vaccination hesitancy: Experimental evidence from Germany
<p>This replication package contains the raw data and code to replicate the findings reported in the paper. The data and code are licensed under a Creative Commons Attribution 4.0 International Public License. See <strong>LICENSE.txt</strong> for details.</p> <p><strong>Software requirements</strong></p> <p>All analysis were done in Stata version 16:</p> <ul> <li>Add-on packages are included in <strong>scripts/libraries/stata</strong> and do not need to be installed by user. The names, installation sources, and installation dates of these packages are available in <strong>scripts/libraries/stata/stata.trk</strong>.</li> </ul> <p><strong>Instructions</strong></p> <ol> <li>Save the folder <strong>‘replication_PLOS’</strong> to your local drive.</li> <li>Open the master script <strong>‘run.do’</strong> and change the global pointing to the working direction (line 20) to the location where you save the folder on your local drive</li> <li>Run the master script <strong>‘run.do’</strong> to replicate the analysis and generate all tables and figures reported in the paper and supplementary online materials</li> </ol> <p><strong>Datasets</strong></p> <ul> <li>Wave 1 – Survey experiment: <strong>‘wave1_survey_experiment_raw.dta’</strong></li> <li>Wave 2 – Follow-up Survey: <strong>‘wave2_follow_up_raw.dta'</strong></li> <li>Map: shape-files <strong>‘plz2stellig.shp’ ‘OSM_PLZ.shp’</strong>, area codes <em><em>‘Postleitzahlengebiete</em>-_OSM.csv’</em>_, (all links to the sources can be found in the script ‘04_figure2_germany_map.do’)</li> <li>Pretest: <strong>‘pre-test_corona_raw.dta’</strong></li> <li>For Appendix S7: <strong>‘alter_geschlecht_zensus_det.xlsx’, ‘vaccination_landkreis_raw.dta’, ‘census2020_age_gender.csv’</strong> (all links to the sources can be found in the script ‘06_AppendixS7.do’)</li> <li>For Appendix S10: ‘<strong>vaccination_landkreis_raw.dta’</strong> (all links to the sources can be found in the script ‘07_AppendixS10.do’)</li> </ul> <p><strong>Descriptions of scripts</strong></p> <p><strong>1_1_clean_wave1.do</strong><br> This script processes the raw data from wave 1, the survey experiment<br> <strong>1_2_clean_wave2.do</strong><br> This script processes the raw data from wave 2, the follow-up survey<br> <strong>1_3_merge_generate.do</strong><br> This script creates the datasets used in the main analysis and for robustness checks by merging the cleaned data from wave 1 and 2, tests the exclusion criteria and creates additional variables<br> <strong>02_analysis.do</strong><br> This script estimates regression models in Stata, creates figures and tables, saving them to <strong>results/figures and results/tables</strong><br> <strong>03_robustness_checks_no_exclusion.do</strong><br> This script runs the main analysis using the dataset without applying the exclusion criteria. Results are saved in <strong>results/tables</strong><br> <strong>04_figure2_germany_map.do</strong><br> This script creates Figure 2 in the main manuscript using publicly available data on vaccination numbers in Germany.<br> <strong>05_figureS1_dogmatism_scale.do</strong><br> This script creates Figure S1 using data from a pretest to adjust the dogmatism scale.<br> <strong>06_AppendixS7.do</strong><br> This script creates the figures and tables provided in Appendix S7 on the representativity of our sample compared to the German average using publicly available data about the age distribution in Germany.<br> <strong>07_AppendixS10.do</strong><br> This script creates the figures and tables provided in Appendix S10 on the external validity of vaccination rates in our sample using publicly available data on vaccination numbers in Germany.</p>
Supplementary information for 'Microstructure and pinning properties of CSD-grown SmBa2Cu3O7-δ films with and without BaHfO3 nanoparticles'
<p>Supplementary information containing TEM data and analysis for the article </p> <p>"<strong>Microstructure, pinning properties, and aging of CSD-grown SmBa<sub>2</sub>Cu<sub>3</sub>O<sub>7-δ</sub> films with and without BaHfO<sub>3</sub> nanoparticles</strong>"</p> <p>Link to paper: <a href="https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d">https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d</a></p> <p>Three folders are present after unzipping the archive:</p> <ul> <li>The folder <em>BHO-Nanoparticle-Size </em>contains a Jupyter notebook showing particle-size analysis. The projected particle sizes/areas were measured using Fiji using the LABKIT plugin by Arzt et al. (<a href="https://doi.org/10.3389/fcomp.2022.777728">https://doi.org/10.3389/fcomp.2022.777728</a>).</li> <li>The <em>Images</em> folder contains 16-bit STEM images in the tiff format. Some images were filtered with an average-background subtraction filter (ABSF).</li> <li>The <em>STEM-EDXS </em>folder shows Jupyter notebooks for STEM-EDXS data treatment using the HyperSpy Python package (<a href="https://hyperspy.org/">https://hyperspy.org/</a>).</li> </ul> <p>If there are any questions/bugs, feel free to contact me at lukas.gruenewald_at_kit.edu</p>
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
<p>Repository of an annotated corpus of clinical trial abstracts supporting schema-based relational information extraction and the code for the inter-annotation agreement calculation and the baseline information extraction method.</p>
Supplementary Information for "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB Module"
<p>This is the external Supplementary Information for our publication "Comment on UV-Spectroscopic Detection of (Pyro-)Phosphate with the PUB module".</p> <p>Unlike most of our publications, this short paper does not come with an official Supplementary Information. However, this zenodo entry contains the raw data and metadata for all items in the main text as well as all raw NMR spectra.</p> <p>For more details on this work, please see the origin publication detailing PUB (10.1021/acs.analchem.1c05356) as well as its external Supplementary Information on this platform (10.5281/zenodo.5760392).</p>
Fig. 2 in Rovno Amber Caddisflies (Insecta, Trichoptera) From Different Localities, With Information About Three New Sites
Fig. 2. Polycentropodids from the new sites: 1 — Holocentropus incertus (Pictet 1856) from Olevsk; 2 — Plectrocnemia sp. from Kuchotskaya Volia; 3–4 — Holocentropus sp. from Rechitsa: 3 — habitus, 4 — genitalia.
Paintings information from Artmajeur
<p>The data set includes the following information of all the paintings in https://www.artmajeur.com: </p> <p><strong>author</strong>, <strong>country,</strong> <strong>title</strong>, <strong>year</strong>, <strong>H_dimension, <strong>W_dimension, <strong>technique, <strong>price</strong></strong></strong></strong></p>
Supporting information for the paper: Terrestrial Gamma-ray Flashes with Accompanying Elves Detected by ASIM
<p>Supporting data to the paper "Terrestrial Gamma-ray Flashes with Accompanying Elves Detected by ASIM"</p>
Search results for scientific production about CRIS (Current Research Information System) in 3 databases: WoS, Scopus and Dimensions (2000-2020)
<p>This datasets is the result of the search for scientific production about CRIS (Current Research Information System) in 3 databases: WoS, Scopus and Dimensions (2000-2020)</p>
Supplementary information: The nuclear-spin-forbidden rovibrational transitions of water from first principles
<p><strong>Supplementary material to the manuscript <em>"The nuclear-spin-forbidden rovibrational transitions of water from first principles"</em> by Andrey Yachmenev, Guang Yang, Emil Zak, Sergei Yurchenko, and Jochen Küpper, <em>J. Chem. Phys., submitted. </em></strong><a href="https://arxiv.org/abs/2203.07945"> arXiv:2203.07945</a></p> <p>The data set contains hyperfine (spin-rovibrational) energies and dipole transition spectrum of water molecule (H<sub>2</sub><sup>16</sup>O), calculated using variational approach <a href="https://github.com/Trovemaster/TROVE">TROVE</a> and <a href="https://github.com/CFEL-CMI/richmol">RichMol</a>, and included spin-rotational and spin-spin hyperfine interactions.</p> <p>In addition, the data set includes HDF5-type richmol database file <strong><em>h2o_p48_j40_rovib.h5</em></strong> (see <a href="https://github.com/CFEL-CMI/richmol">https://github.com/CFEL-CMI/richmol</a>) containing rovibrational energies, matrix elements of nuclear spin-rotation, nuclear spin-spin, electric dipole, and electric quadrupole tensor operators of H<sub>2</sub><sup>16</sup>O, calculated using variational approach TROVE.</p> <ul> <li><strong>h2o_exomol_F.states </strong>and<strong> h2o_exomol_F.trans</strong> - hyperfine linelist of water stored in the ExoMol format (see, e.g., <a href="https://doi.org/10.1016/j.jms.2016.05.002">J. Molec. Spectrosc., 327, 73-94 (2016)</a>). The two files contain a set of hyperfine states with assignments and a set of dipole transitions (Einstein A-coefficients), respectively. The states in <strong>h2o_exomol_F.states</strong> file are arranged by quantum number of total angular momentum F = I + J (spin + rotation) in ascending order.</li> <li><strong>h2o_exomol_J.states </strong>and<strong> h2o_exomol_J.trans</strong> - contain same data as <strong>h2o_exomol_F.states </strong>and<strong> h2o_exomol_F.trans</strong> files, except that the states in <strong>h2o_exomol_J.states</strong> file are arranged by rotational quantum number (J) in ascending order.</li> <li><strong>h2o_p48_j40_rovib.h5<em> - </em></strong>Richmol HDF5 database file for H<sub>2</sub><sup>16</sup>O containing rovibrational energies (in cm<sup>-1</sup>), matrix elements of nuclear spin-rotation (in kHz), spin-spin (in kHz), molecular electric dipole moment (in Debye), and molecular electric quadrupole moment (in a.u.) operators. For details on how to read this file, see <a href="https://github.com/CFEL-CMI/richmol">Richmol GitHub repository</a> and <a href="https://richmol.readthedocs.io/en/latest/">Richmol documentation</a> (<em>or contact Andrey Yachmenev at andrey.yachmenev@cfel.de</em>).</li> <li><strong>ortho_para_transitions.txt</strong> - table with strongest predicted ortho-para transitions in H<sub>2</sub><sup>16</sup>O at T = 296 K with the 10<sup>−36</sup> cm/molecule intensity cut-off.<br> <br> <strong><em>An example of hyperfine energies and hyperfine dipole spectrum calculation for water using h2o_p48_j40_rovib.h5 file from this repository may be found in the <a href="https://github.com/CFEL-CMI/richmol">Richmol GitHub repository's</a> examples folder: <a href="https://github.com/CFEL-CMI/richmol/tree/develop/examples/hyperfine">https://github.com/CFEL-CMI/richmol/tree/develop/examples/hyperfine</a></em></strong></li> </ul> <p>Structure of<strong> h2o_exomol_F.states </strong>and<strong> h2o_exomol_J.states </strong>files:</p> <table align="left"> <thead> <tr> <th scope="col">Column No.</th> <th scope="col">Kind </th> <th scope="col">Meaning </th> </tr> </thead> <tbody> <tr> <td>1</td> <td>int</td> <td>state ID number</td> </tr> <tr> <td>2</td> <td>float</td> <td>hyperfine state energy relative to the ZPE, in cm<sup>-1</sup></td> </tr> <tr> <td>3</td> <td>int</td> <td>state degeneracy</td> </tr> <tr> <td>4</td> <td>int</td> <td>value of F quantum number (total spin-rotational angular momentum)</td> </tr> <tr> <td>5</td> <td>str</td> <td>state symmetry in C<sub>2v</sub></td> </tr> <tr> <td>6</td> <td>int</td> <td>value of J quantum number (total rotational angular momentum)</td> </tr> <tr> <td>7</td> <td>str</td> <td>symmetry of state's rotational component in C<sub>2v</sub></td> </tr> <tr> <td>8</td> <td>int</td> <td>value of k<sub>a</sub> quantum number (a-axis projection of rotational angular momentum)</td> </tr> <tr> <td>9</td> <td>int</td> <td>value of k<sub>c</sub> quantum number (c-axis projection of rotational angular momentum)</td> </tr> <tr> <td>10</td> <td>int</td> <td>value of v<sub>1</sub> vibrational quantum number</td> </tr> <tr> <td>11</td> <td>int</td> <td>value of v<sub>2</sub> vibrational quantum number</td> </tr> <tr> <td>12</td> <td>int</td> <td>value of v<sub>3</sub> vibrational quantum number</td> </tr> <tr> <td>13</td> <td>int</td> <td>value of I quantum number (total nuclear spin)</td> </tr> <tr> <td>14</td> <td>float</td> <td>reference rovibrational state energy (i.e., without hyperfine effects) relative to the ZPE, in cm<sup>-1</sup></td> </tr> </tbody> </table> <p>Structure of<strong> h2o_exomol_F.trans </strong>and<strong> h2o_exomol_J.trans </strong>files:</p> <table> <thead> <tr> <th scope="col">Column No.</th> <th scope="col">Kind</th> <th scope="col">Meaning</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>int</td> <td>ID number of final transition state (col. no. 1 in <strong>h2o_exomol_F.states </strong>or<strong> h2o_exomol_J.states </strong>file)</td> </tr> <tr> <td>2</td> <td>int</td> <td>ID number of initial transition state (col. no. 1 in <strong>h2o_exomol_F.states </strong>or<strong> h2o_exomol_J.states </strong>file)</td> </tr> <tr> <td>3</td> <td>float</td> <td>Einstein A-coefficient, in s<sup>-1</sup></td> </tr> <tr> <td>4</td> <td>float</td> <td>Transition wavenumber, in cm<sup>-1</sup></td> </tr> </tbody> </table> <p> </p>
ScienceDex guides
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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.