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15,733 results for “article”
Raw Data for the Article "Cyclopentadienone triisocyanide iron complexes: general synthesis and crystal structures of tris(2,6-dimethylphenyl isocyanide)(η4-tetraphenylcyclopentadienone)iron and tris(naphthalen-2-yl isocyanide)(η4-tetraphenylcyclopentadienone)iron acetone hemisolvate"
<p>This data set contains the raw data (NMR, HRMS, Elemental analysis) for the article "Cyclo­penta­dienone triisocyanide iron complexes: general synthesis and crystal structures of tris­­(2,6-di­methyl­phenyl isocyanide)(η<sup>4</sup>-tetra­phenyl­cyclo­penta­dienone)iron and tris­­(naphthalen-2-yl iso­cyanide)(η<sup>4</sup>-tetra­phenyl­cyclo­penta­dienone)iron acetone hemisolvate" published in <em>Acta Crystallographica Section E: Crystallographic Communications</em>, DOI:</p> <p><a href="https://doi.org/10.1107/S205698902300498X">https://doi.org/10.1107/S205698902300498X</a></p>
3D digitisation of articles of traditional attire
<p>These files are 3D digitisations of traditional, handcrafted dresses, shoes, handbags, and fabrics. These items are manufactured during the 21st century following traditional manufacturing methods and utilising designs and motifs from Greek antiquities. The 3D models were photogrammetrically captured.</p>
Raw Data for the Article "Zwitterionic Halido Cyclopentadienone Iron Complexes and Their Catalytic Performance in Hydrogenation Reactions"
<p>This data set contains the raw data (NMR, ESI-MS, LC-MS, Elemental Analysis, VT-NMR) for the article "Zwitterionic Halido Cyclopentadienone Iron Complexes and Their Catalytic Performance in Hydrogenation Reactions" published in <em>Inorganic Chemistry</em>, DOI:</p> <p><a href="https://doi.org/10.1021/acs.inorgchem.2c04298">https://doi.org/10.1021/acs.inorgchem.2c04298</a></p> <p> </p>
List of articles resulting from the Google Scholar search "graph based author name disambiguation" published after 1/1/2021
<p>This dataset contains the list of articles resulting from the Google Scholar search “graph based author name disambiguation” published after 1/1/2021. The list is provided for reproducibility of the survey article “Graph-based Methods for Author Name Disambiguation: A Survey” and it was obtained using the following Python script available at <a href="https://github.com/WittmannF/sort-google-scholar">https://github.com/WittmannF/sort-google-scholar</a>:</p> <blockquote> <p>$ python sortgs.py --kw “graph based author name disambiguation” --startyear 2021</p> </blockquote> <p>The command returned the CSV file that contains the first 94 publications matching the query (articles with corrupted metadata have been excluded), each with metadata about Title, Number of Citations, and Rank. The CSV contains a column that specified which articles have been eventually selected for the survey.</p>
Dataset for the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest"
<p>Datasets to accompany the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest". Written by J. Elgy and P. D. Ledger (Keele University, 2023).</p> <p>The datasets include data files, meshes, and source code for generating figures from the paper. This requires the open source MPT-Calculator software available at <a href="https://github.com/MPT-Calculator/MPT-Calculator%7D">https://github.com/MPT-Calculator/MPT-Calculator</a> (InitialRelease branch).</p> <p>The authors gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1</p> <p> </p>
Dataset for the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects"
<p>Datasets to accompany the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects". Written by J. Elgy, P. D. Ledger, J. L. Davidson, T. Özdeğer and A. J. Peyton. The article has been submitted to "Engineering Computations" (2023).</p> <p>The datasets include data files, meshes, and code for recreating the results from the paper. This requires the open source MPT-Calculator software available at <a href="http://github.com/MPT-Calculator/MPT-Calculator">https://github.com/MPT-Calculator/MPT-Calculator</a> (InitialRelease branch).</p> <p>The datasets also include measurement data for real world objects courtesy of The University of Manchester.</p> <p>J. Elgy and P. D. Ledger gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1.<br> J. L. Davidson and A. J. Peyton are grateful for the financial support received from an Innovate UK Grant (reference number 39814).<br> T. Özdeğer and A. J. Peyton are grateful for the financial support received from EPSRC, U.K. through the research grant EP/R002177/1.</p>
AdriSC Climate Model Data - For the article: Projecting expected growth period of bivalves in a coastal temperate sea
<p>The recent implementation, development and successful runs of the kilometer-scale atmosphere-ocean Adriatic Sea and Coast (AdriSC) climate model for the historical period of 1987-2017 and for an extreme climate projection (RCP 8.5) for the 2070-2100 period, have provided the necessary dataset to better understand the potential impact of climate change within the Adriatic basin. Here, temperature, salinity and ocean currents were extracted and formatted from the AdriSC ocean model at 1 km resolution. This dataset was then used to reproduce in the past (1987-2017 period) and project in the future (2070-2100 period) the expected growth of five bivalve species in the northern Adriatic Sea at two different locations: Barbariga and along the western coast of Istria. </p> <p> </p>
Dataset for article: Structure Formation in Tailor-Made Buriti Oil Emulsion During Simulated Digestion
<p><strong>Dataset for publication:</strong></p> <p>Structure Formation in Tailor-Made Buriti Oil Emulsion During Simulated Digestion<br> <em>Rafael V. M. Freire, Linda Hong, Miroslav Peterek, Stéphane Canarelli, Serge Rezzi, Stefan Salentinig</em><br> Advanced Funtional Materials 2023 (DOI 10.1002/adfm.202303854)</p> <p>Setup and conditions for the experiments are described in the experimental section of the published (open access) manuscript.</p> <p>Data description in README.txt file.</p>
Artifacts supplementing the ACM DTRAP 2020 article "Will You Trust This TLS Certificate? Perceptions of People Working in IT (extended version)"
<p>These research artifacts supplement the following two publications:</p> <ul> <li>Will You Trust This TLS Certificate? Perceptions of People Working in IT [ACSAC 2019], DOI 10.1145/3359789.3359800, more details at https://crocs.fi.muni.cz/public/papers/acsac2019</li> <li>Will You Trust This TLS Certificate? Perceptions of People Working in IT (extended version) [ACM DTRAP 2020], DOI 10.1145/3419472, more details at https://crocs.fi.muni.cz/public/papers/dtrap2020</li> </ul> <p>The artifacts contain the full experimental setup (as described in Section 2.1 of the paper) and the complete anonymized dataset underlying the evaluation presented in Sections 3 and 4.</p> <p>The experimental setup contains the documents accompanying the task: the informed consent, pre-task questionnaire, task description, trust scales, and the list of questions posed during the post-task interview (all in PDFs). We further include the custom website with certificate validation documentation for the “redesigned” condition (static HTML). While working on the task, participants in the “redesigned” condition could access this website via a link that was in the redesigned error messages. Furthermore, we provide the software with which the participants interacted. It contains the displayed error messages and validated certificates. These things are available both individually and incorporated in a snapshot of a virtual machine used at the experiment (importable directly into VirtualBox).</p> <p>The collected data is presented in a single dataset (SPSS format; you can use PSPP as a free alternative). It includes the analysis syntax files to obtain the numerical results presented in the paper. For each participant, the dataset contains: 1) pre-task questionnaire answers, 2) reported trust ratings, 3) sub-task timing, 4) information on whether they browsed the Internet and 5) the interview codes assigned. Note that we do not publish the interview transcripts to preserve participant privacy.</p>
Supplementary data for the article "Head and dependent marking and dependency length in possessive noun phrases: a typological study of morphological and syntactic complexity"
<p>This material contains the Supplementary material (including the R-scripts) of the following article. Please cite the article when using the data.</p> <p>Sinnemäki, Kaius and Haakana, Viljami. 2023. Head and dependent marking and dependency length in possessive noun phrases: a typological study of morphological and syntactic complexity. <em>Linguistics Vanguard</em> 9(s1). 45-57. <a href="https://doi.org/10.1515/lingvan-2021-0074">https://doi.org/10.1515/lingvan-2021-0074</a></p>
Raw data for the article: High-throughput computational solvent screening for lignocellulosic biomass processing
<p>This data set contains the raw data for the article "High-throughput computational solvent screening for lignocellulosic biomass processing" published in <em>Chemical Engineering Journal</em>, DOI: <a href="https://doi.org/10.1016/j.cej.2022.139476">https://doi.org/10.1016/j.cej.2022.139476</a></p>
Research generated data supporting the article manuscript "Setting Grounds for Data Literacy in the Sector of Agriculture: Learning About and with Open Data"
<p>In the research 345 MS courses and 216 MS courses data from the ECTS catalogue (2019) of University of Zagreb Faculty of Agriculture were mapped onto the data literacy competence areas (theme) and DL competence areas sub-themes adapted ODI Data Skills Framework (2020) expanding the term “skill” to “competence” to include knowledge and attitudes. Teaching staff was interviewed in semi-structured interviews on the data literacy competences covered in their courses and open data use and teaching in their courses as well as their perceived importance for the sector of the course.</p> <p>The upload consists of the following .csv files:</p> <table> <tbody> <tr> <td>readme_DL_OD_Salamonetal.csv</td> </tr> <tr> <td>01DL_OD_Salamonetal.csv</td> </tr> <tr> <td>02DL_OD_Salamonetal.csv</td> </tr> <tr> <td>03DL_OD_Salamonetal.csv</td> </tr> <tr> <td>04DL_OD_Salamonetal.csv</td> </tr> <tr> <td>05DL_OD_Salamonetal.csv</td> </tr> <tr> <td>06DL_OD_Salamonetal.csv</td> </tr> <tr> <td>07DL_OD_Salamonetal.csv</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p>
Datasets from the RecSys 2023 article "Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect".
<p>We have publicly released the anonymized "new_release_stream.csv" dataset from the music streaming platform Deezer. This dataset is described in detail in the article titled "Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect", which was published in the proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023).</p> <p>Each row in the dataset contains an anonymized user and item identifier, a reference timestamp in seconds (measured from the first consumption in the dataset), and a binary value "y". This "y" value indicates whether a song was listened to for more than 80% of its duration (y = 1) or not (y = 0).</p> <p>You can find this dataset in the GitHub repository <a href="https://github.com/deezer/ex2vec">deezer/ex2vec</a>, where it is used to reproduce experiments discussed in the article.</p> <p>If you plan to use our code or data in your work, please make sure to cite our paper accordingly.</p> <p> </p> <pre><code>@inproceedings{sguerra2023ex2vec, title={Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect}, author={Sguerra, Bruno and Tran, Viet-Anh and Hennequin, Romain}, booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems}, year = {2023} }</code></pre> <p> </p> <p> </p> <p> </p>
Raw data of findings in the article "Sub-THz_wireless_transmission_based_on_graphene_integrated_optoelectronic_mixer" by A. Montanaro et al.
<p>Raw data containing all the plots in the manuscript "Sub-THz wireless transmission based on graphene integrated optoelectronic mixer" by A. Montanaro et al.</p>
Dataset of scientific article "Variability in Arsenic Methylation Efficiency across Aerobic and Anaerobic Microorganisms"
<p>Dataset for journal paper entitled "Variability in Arsenic Methylation Efficiency across Aerobic and Anaerobic Microorganisms" (DOI: 10.1021/acs.est.0c03908).</p> <p><strong>Partial publication's abstract:</strong> "Microbially-mediated methylation of arsenic (As) plays an important role in the As biogeochemical cycle, particularly in rice paddy soils where methylated As, generated microbially, is translocated into rice grains. The presence of the arsenite (As(III)) methyltransferase gene (<em>arsM</em>) in soil microbes has been used as an indication of their capacity for As methylation. Here, we evaluate the ability of seven microorganisms encoding active ArsM enzymes to methylate As. Amongst those, only the aerobic species were efficient methylators. The anaerobic microorganisms presented high resistance to As exposure, presumably through their efficient As(III) efflux, but methylated As poorly. The only exception were methanogens, for which efficient As methylation was seemingly an artifact of membrane disruption."</p> <p>The files deposited include: the flow cytometry data and fluorescence microscopy pictures used to assess membrane disruption of the methanogen <em>Methanosarcina mazei</em>, for experimental details please refer to publication, and the supporting information of the publication. Files:</p> <ol> <li><strong>Figure 3_flowcytometry files.zip:</strong> flow cytometry measurements reported in Figure 3 of publication. Measurements were performed with a 5-laser LSRII SORP flow cytometer. SYBR Green I (SG) (Invitrogen) was excited by the Blue laser (488 nm) and detected using a 530/30 band pass filter. propidium iodide (PI) (Sigma) was excited by the YG laser (561 nm) and detected using a 610/20 band pass filter. 30’000 events per sample were analyzed into four populations (no fluorescence, SG, SG/PI, or PI). Cells could be assigned to the membrane-compromised population, based on the gating of double-stained and single-stained controls of glutaraldehyde- fixed and ethanol-permeabilized cells. Cytometric data were acquired and analyzed using BD TM FACSDiva software v. 8.0.1 (BD Biosciences, CA, USA). The files consist of the reports generated by BD TM FACSDiva software in .jpg format.</li> <li><strong>Figure S14_fluorescence microscopy files.zip:</strong> Fluorescence microscopy pictures in .lsm format of single-stained SG control (SG), single-stained PI control (PI), double-stained control (SG/PI), 16-days sample (16 days) and 20-day sample (20 days) of a <em>Methanosarcina mazei</em> culture grown with 10 μM As(III) as initial concentration. The pictures are published as Figure S14 of the publication. The pictures were taken using Zeiss LSM 700 in the upright configuration equipped with a Plan-Apochromat 63x/1.40 oil immersion objective. For more details please refer to supplementary information in publicaiton. Recommended software for .lsm format included in .zip file.</li> <li><strong>SI_tables_Viacava_et_al_for_publication:</strong> file in .xlsx format including the tables: Accession numbers for As(III)-efflux and ArsM proteins and genes; primers used in preparing mutants of <em>C. pasteurianum</em>; growth curves and growth rates values for all sampled cultures; relative abundance of flow-cytometry populations; ICP-MS settings for As analysis; primers for <em>arsM</em> gene amplifications; primers for RT-qPCR of <em>C. pasteurianum</em>; HPLC-ICP-MS spectrum values ; values of <em>arsM</em> and <em>acr3</em> expression in <em>C. pasteurianum</em> WT and <em>Δacr3</em>; and concentration of total soluble arsenic and soluble arsenic species in filtered medium from all sampled cultures.</li> <li><strong>SI_Viacava_et_al_for_publication:</strong> file in .pdf format including: <ol> <li>Materials and methods: total arsenic and arsenic speciation analysis; cloning the arsM genes and gene expression in <em>E. coli </em>AW3110 (DE3); growth conditions of <em>C. pasteurianum</em> H0D0R4, strain used for genetic modification; isolation of the <em>Δacr3</em> and <em>ΔpyrE::Δacr3</em> mutants; arsenic methylation by <em>C. pasteurianum Δacr3</em>; transcription of arsM in <em>C. pasteurianum</em> WT and <em>Δacr3</em>; and membrane-integrity assessment of <em>M. mazei</em> cells using flow cytometry.</li> <li>Figures: growth rate of each individual species; abiotic control growth curves; total soluble anaerobic bacterium culture; soluble arsenic species in filtered medium from anaerobic bacterial cultures grown with 50 μM As(III); soluble arsenic species in filtered medium and volatile arsenic species from an A. rosenii culture; soluble arsenic in filtered medium from <em>S. vietnamensis, M. mazei and M. acetivorans</em> cultures; soluble arsenic species in abiotic controls; spiked HPLC-ICP-MS spectra; growth and concentration of soluble arsenic species in ArsM-expressing <em>E. coli </em>AW3110 (DE3); fluorescence microscopy pictures of flow cytometry controls from the membrane-integrity assessment from a <em>M. mazei </em>culture grown with 50 μM As(III); expression of <em>arsM</em> and <em>acr3</em> in <em>C. pasteurianum</em> WT and <em>Δacr3</em> mutant; and alignment of ArsM proteins.</li> </ol> </li> <li><strong>README.txt:</strong> .txt file with this description text.</li> </ol>
Datasets for the article "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology"
<p>These files contain the datasets related to the figures presented in the article Donadello et al. (2023) "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology", IEEE Transactions on Instrumentation and Measurement, 72, pp. 1–12, Article Sequence Number: 2005412. Available at: https://doi.org/10.1109/TIM.2023.3288255.<br> Each dataset is related to the respective figure number in the article, as indicated in the filename (e.g. "data_fig3a.csv" contains the data used to produce Fig. 3, subplot a).</p> <p>All the files are formatted in the comma-separated format.</p> <p>Description:<br> "data_fig3a.csv": coefficients for IQ demodulation and filtering, with f_int=200kHz.<br> "data_fig3b.csv": frequency response of demodulation filtering, with f_int=200kHz and f_int=10kHz.<br> "data_fig4a.csv": power spectral density (PSD) of frequency signals, at different signal amplitudes.<br> "data_fig4b.csv": overlapping Allan deviation of frequency signals, with either OCXO and maser references.<br> "data_fig4c.csv": measured signal frequency and amplitude as a function of nominal frequency deviation.<br> "data_fig4d.csv": measured signal amplitude as a function of nominal amplitude.<br> "data_fig5.csv": example signals related to the synchronized acquisition of RF inputs.<br> "data_fig7a.csv": synchronized time series of frequency deviation acquired over a fiber link in the self-heterodyne interference scheme.<br> "data_fig7b.csv": PSD of the frequency signals acquired over a fiber link in the self-heterodyne interference scheme.<br> "data_fig8a-without-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme without frequency drift correction.<br> "data_fig8a-with-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme with frequency drift correction.<br> "data_fig8b.csv": PSD of the frequency signals acquired over a fiber link in the heterodyne interference scheme.</p>
Codebook - Knowledge-Action Platforms (Data & Policy article) Bream McIntosh et al.,
<p>Codebook used for Round 2 coding against key criteria of a 'Platform' definition that responds to matrix coding of Sustainability Knowledge Action Platforms. To accompany the article in Data & Policy 'The role of sustainability knowledge-action platforms in advancing multi-stakeholder engagement on sustainability'.</p>
Aerosol absorption data in Modena, Italy published in the journal article by Bigi et. al. (2023)
<p>Dataset of aerosol absorption coefficient at 1 hour time resolution collected at a urban traffic and a urban background site in Modena, Italy. Data is presented in the scientific article: </p> <p>Bigi, A., Veratti, G., Andrews, E., Collaud Coen, M., Guerrieri, L., Bernardoni, V., Massabò, D., Ferrero, L., Teggi, S., Ghermandi, G: Black Carbon and Brown Carbon absorption by in-situ filter-based photometer and ground-based sun-photometer in an urban atmosphere. Atmos. Chem. Phys., 2023, </p> <p>Data is freely available but the acknowledgement of the data originator is required: please contact the originator for details.</p>
Dataset and Simulation Files for article "Bright and Vivid Diffractive-Plasmonic Reflective Filters for Color Generation"
<p>This work was supported by Ministério da Ciência Tecnologia, Inovações e Comunicações, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil, Finance, Code 001, National Counsel of Technological and Scientific Development, and São Paulo Research Foundation (Fapesp) through grants 2018/15580-6, 2018/15577-5, 2016/18308-0, 2012/ 17610-3, and 2012/17765-7. Part of the results presented in this work were obtained through Project 4716-11, funded by Samsung Eletrônica da Amazônia Ltda., under the Brazilian Informatics Law 8.248/91. The authors thank the Center for Semiconductor Components and Nanotechnologies for the nanofabrication infrastructure.</p>
Initial conditions to reproduce figures of the article "On the impact of tides on the transit-timing fits to the TRAPPIST-1 system"
<p>The directory includes the initial conditions of the simulations needed to reproduce the figures of the article "On the impact of tides on the transit-timing fits to the TRAPPIST-1 system". </p> <p>The simulations were done with Posidonius version v2019.07.30. The information to download and use Posidonius can be found here:<br><a href="https://www.google.com/url?q=https://www.blancocuaresma.com/s/posidonius&sa=D&source=hangouts&ust=1580820901945000&usg=AFQjCNEmxwuCiIgh9d-aTfx-bqB0_u_9BA">https://www.blancocuaresma.com/s/posidonius</a>. <br>That version was only slightly modified to use a maximum timestep size for the IAS15 algorithm. </p> <p>The directory includes:</p> <ul> <li>a README giving all the information defining the test directories</li> <li>test directories with a file called trappist1.json, which can be used to launch Posidonius:<br>posidonius start --silent trappist1.json data_dir/trappist1.bin data_dir/trappist1_history.bin</li> </ul>
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.