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6,059 results for “Journale”
Data Set for the Journal Article "Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis"
<p>This dataset includes the XYZ structures of the centroids of all compounds found. Charge and multiplicity are given in the comment line of each XYZ file.</p>
Data set for the journal article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO2-to-CO conversion"
<p>In the article "Improving the lifetime of hybrid CoPc@MWCNT catalysts for selective electrochemical CO<sub>2</sub>-to-CO conversion" we demonstrated that Fe impurities in a hybrid CoPc@MWCNT catalyst lead to its performance deterioration during long-term CO<sub>2</sub> electrolysis. Here we present the dataset the work was based on. The data are divided into four groups:<br> (i) Current transients and gas chromatography data for short-term electrolysis at different potentials (in an excel file we give the numbers of chromatograms for each potential; current transients are given as an origin file with datasets and plots inside)<br> (ii) Current transients and gas chromatography data for long-term electrolysis at different potentials and with different catalysts (in respective excel files we give the numbers of chromatograms; figure numbers are given in the folder names)<br> (iii) Electron microscopy images and EDX datasets (the images and datasets are collected in the folders with respective figure numbers used in the paper)<br> (iv) Calibration curves for ICP-MS</p>
A dataset of published journal papers using neural networks for seismological tasks.
<p>This is a dataset of 637 journal papers applying neural networks for various tasks in seismology spanning January 1988 to January 2022. The dataset mainly includes peer reviewed papers and does not contain duplicated works. It follows a hierarchical classification of papers based on seismological tasks (i.e. category, sub_category_I, sub_category_II, task, and sub_task). For each paper following information are provided: 1) first author's last name, 2) publication year, 3) paper's title, 4) journal 's name, 5) machine learning method used, 6) the type of used neural network, 7) the name of neural network architecture, 8) the number of neurons/kernels in each hidden layer, 9) type of training process, i.e. supervised, semi-supervised, etc, 10) input data into the network, 11) output data, 12) data domain, i.e. time, frequency, feature, etc, 13) the type of data used for training, e.g. synthetic or real data, 14) the size of training set, 15) the metrics used to measure the performance, 16) performance scores, 17) the baseline method used for evaluation, and 18) a short note summarizing the paper's objective, its approach, and its significance. </p> <p>An updating version of the dataset can be find from here: https://smousavi05.github.io/dl_seismology/ and here:https://github.com/smousavi05/dl_seismology/tree/main/docs. </p> <p>An updating glossary of seismological tasks and relevant machine learning techniques and papers are provided here: https://smousavi05.gitbook.io/mlseismology/</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>
Perspectives on Medical Education Journal Data and Supplemental Files (2012 - 2019)
<p>This is the supplemental data, figures, and tables for <em>Joining the meta-research movement: A bibliometric case study of Perspectives on Medical Education</em>. </p> <p>For Figures 2-4 from the manuscript, to open the network maps, use both the network and map file for each figure in VoS viewer - https://www.vosviewer.com/</p>
Raw data for the journal article "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide"
<p>This data set corresponds to the article by Kong et al. entitled "Cracks as efficient tools to mitigate flooding in gas diffusion electrodes used for the electrochemical reduction of carbon dioxide", published in Small Methods</p>
video_humidify_journal
This is the process of making a carafe Bontemps. The step depicted is called "Annealing"(from the Mingei project).
Dataset for "Authorship concentration in health sciences journals from Latin America and the Caribbean"
<p>Authorship concentration indexes and other data for journals in the LILACS (Latin American and the Caribbean Literature on Health Sciences) bibliographic database, from 2015 to 2019 (FONTENELLE, 2022). These data are read and created by <a href="https://doi.org/10.5281/zenodo.6127497">analytic code in Zenodo</a>.</p> <ul> <li><em>authorship_concentration.csv</em> - dataset derived in Fontenelle (2022) from raw data exported from LILACS. This is the main file, and it's CC-BY because other researchers might have curated the raw data differently and thus derived different data. CSV file encoded with ASCII.</li> <li><em>authorship_concentration_datadictionary.csv</em> - data dictionary for the previous file. This file is actually CC0. CSV file encoded with ASCII.</li> <li><em>journals.csv</em> - dataset about the journals indexed in LILACS between 2015 and 2019. As a result of simply converting and filtering the original TITLE database, this is actually CC0 by the Pan American Health Organization (PAHO). CSV file encoded with UTF-8.</li> <li><em>journal_subjects.csv</em> - DeCS descriptors for the journals identified by the ISSN. CC0 by the Pan American Health Organization (PAHO), as above. CS file encoded with ASCII.</li> </ul>
CLDF dataset with phoneme inventories from the "Journal of the IPA", aggregated by Baird et al. (2021)
<p>Cite the source of the dataset as:</p> <blockquote> <p>Baird, L., Evans, N., & Greenhill, S. J. (2021). Blowing in the wind: Using 'North Wind and the Sun' texts to sample phoneme inventories. Journal of the International Phonetic Association, 1–42. doi:10.1017/s002510032000033x</p> </blockquote>
2023 Utrecht University Open Access Monitor (peer reviewed journal articles)
<p>Results of the OA monitor of Utrecht University (UU) and University Medical Center Utrecht(UMCU) for the year 2023. It lists the open access availability of all peer reviewed journal articles registered in the CRIS (Pure) of Utrecht University and/or University Medical Center Utrecht. </p>
Data for: Systematic and highly resolved modelling of biodiversity in inherently rare groundwater amphipods (Journal of Biogeography, 2024)
<p>Original research article:</p> <p>Knüsel, M., Alther, R., Locher, N., Ozgul, A., Fišer, C. & Altermatt, F. (2024). Systematic and highly resolved modelling of biodiversity in inherently rare groundwater amphipods. <em>Journal of Biogeography</em>, https://doi.org/10.1111/jbi.14975.</p>
Interviews with editors of library science journals on transitioning to open access
<p>These three files are related to qualitative, semi-structured interviews conducted in Fall 2023 with editors of Library and Information Science (LIS) journals on transitioning to open access. One subgroup consisted of participants who were editors at the time of an LIS journal when it transitioned (or flipped) to an open access model that does not charge a fee to either readers or authors (which this study refers to as equitable open access), and the other subgroup consisted of current editors (at the time) of LIS journals that have not yet transitioned (or unflipped) to an equitable open access model. Two of the files are the interview protocols for each group of flipped and unflipped editors, and the third file is the codebook the researchers used to analyze the interview transcripts. Interview transcripts are not being publicly shared to ensure confidentiality for interview participants.</p> <p>The interview protocols were created based on the findings of a prior research study:</p> <p>Borchardt, R., Dawson, D., & Schultz, T. (2024). Financial and other perceived barriers to transitioning to an equitable no-publishing fee open access model: A survey of LIS journal editors. College & Research Libraries, 85(1). <a href="https://doi.org/10.5860/crl.85.1.96">https://doi.org/10.5860/crl.85.1.96</a></p> <p>The codebook was created iteratively based on the researchers' review and analysis of the interview transcripts.</p>
Geo-referencing of journal articles and platform design for spatial query capabilities
<p>We analyzed the corpus of three geoscientific journals to investigate if there are enough locational references in research articles to apply a geographical search method, on the example of New Zealand. We counted place name occurrences that match records from the official Land Information New Zealand (LINZ) gazetteer in the titles, abstracts and full texts of freely available papers of the New Zealand Journal of Geology and Geophysics, the New Zealand Journal of Marine and Freshwater Research, and the Journal of Hydrology, New Zealand, for the years 1958 to 2015. We generated ISO standard compliant metadata records for each article including the spatial references and make them available in a public catalogue service.</p> <ol> <li><em>articles_georef_count_data.xlsx</em>: The counts and evaluation tracking of the place name occurrences in the journal articles.</li> <li><em>summary_final.xlsx</em>: Summary statistics for evaluation based on the counts data.</li> <li><em>article_template.xml</em>: XML template for ISO 19139 compliant metadata record filled for each article.</li> <li><em>full_article.xm</em>l: Exemplary fully filled ISO 19139 compliant metadata record.<br> </li> </ol>
Appendix S3 from: Droissart V, Dauby G, Hardy OJ, Deblauwe V, Harris DJ, Janssens S, Mackinder BA, Blach-Overgaard A, Sonké B, Sosef MSM, Stévart T, Svenning J-C, Wieringa JJ, Couvreur TLP (2018) Beyond trees: biogeographical regionalization of tropical Africa. Journal of Biogeography. DOI:10.1111/jbi.13190
<p>This dataset corresponds to GIS file that were generated in the study published by Droissart, Dauby et al. in <em>Journal of Biogeography</em>:</p> <p>Droissart V, Dauby G, Hardy OJ, Deblauwe V, Harris DJ, Janssens S, Mackinder BA, Blach-Overgaard A, Sonké B, Sosef MSM, Stévart T, Svenning J-C, Wieringa JJ, Couvreur TLP (2018) Beyond trees: biogeographical regionalization of tropical Africa. <em>Journal of Biogeography. </em>DOI:10.1111/jbi.13190</p> <p><em>Please cite the aforementioned article and the dataset herein, when using of any of these files in this dataset.</em></p> <p> </p> <p>The GIS file is referred in the paper as <strong>Appendix S3</strong> and correspond to the map presented in Figure 1. Each polygons of the shapefile correspond to the main floristic bioregions and transition zones of tropical Africa delimited using bipartite network clustering analysis of 24,719 plant species.</p> <p>The coordinate system of the ESRI shapefile is GCS_WGS_1984. Field descriptions for the associate table are:</p> <ul> <li><strong>bionames</strong>: name of the bioregions as given in Table S1.1.</li> <li><strong>bioreg_ID</strong>: identifier of the bioregions as given in Table S1.1 and Fig. 1. T= Transition zones</li> <li><strong>cluster_ID</strong>: identifier of clusters delimited using bipartite network clustering on the 24,719 plant species of the RAINBIO database, as given in Table S1.1 and Fig. S2.1.</li> </ul>
BRAIN Journal-About the Design of QUIC Firefox Transport Protocol-Figure 2. QUIC vs TLS handshake protocol
<p>Figure 2 describes a sequence diagram using QUIC VS TLS handshake protocol. The right<br> side of Figure 2 shows the seven steps of calls and returns until a HTTP Get() method is<br> successfully implemented using a TLS handshake. In contrast, on the left side of Figure 2, we see<br> the implementation of HTTP Get() method using a single call of QUIC handshake.<br> Firefox is a completely open source browser with a tremendous community support. The<br> latest version of Firefox supports TLS 1.3 protocol in an experimental stage. The primary purpose<br> of this study was integrating the QUIC protocol in the Firefox web browser. The source code of this<br> software product is as large as 650MB. </p> <p> </p>
BRAIN Journal-About the Design of QUIC Firefox Transport Protocol-Figure 1. TLS vs QUIC protocol stack
<p>QUIC addresses many network problems such as the Head Of Line (HOL) blocking as well as the TCP reconnection over a subnet/network change. In addition, QUIC has many features such as connection IDs, which can overcome the challenge of changing networks. In this way, if someone switches from a WIFI network to a cellular network, the connection to the server will not be broken or lost. Paper (Langley and Chang, 2016) described the QUIC crypto protocol, representing the part of QUIC that provides transport security to a connection. The QUIC crypto protocol is now replaced by TLS 1.3. Currently, QUIC provides security of TLS 1.3 (in an experimental stage), considered the highest security standards for the communication protocols (Valsorda; 2016). </p> <p>Figure 1 describes the TLS vs. QUIC protocol user level stack in the context of application layer and transport layer.</p>
Data and Statistical analysis for: "Predator in the pool? A quantitative evaluation of non-indexed open access journals in aquaculture research"
<p>Data and Statistical analysis for: "Predator in the pool? A quantitative evaluation of non-indexed open access journals in aquaculture research" published in <em>Frontiers in Marine Science</em></p>
Dataset and code Petry et al. 2018 Journal of Ecology
<p>This dataset contains all the data and code needed to reproduce the analyses in</p> <p>Petry, W.K., G.S. Kandlikar, N.J.B. Kraft, O. Godoy, & J.M. Levine (2018) A competition-defence trade-off both promotes and weakens coexistence in an annual plant community. Journal of Ecology. DOI: 10.1111/1365-2745.13028</p> <p>Complete metadata is provided in README.md</p>
rdemolgen/MNV-test-data: Published version for journal paper.
<p>A BAM file containing five MNVs (Multiple Nucleotide Variants) for the purposes of testing bioinformatics pipelines.</p>
Data from: Paule et al. (2020) Phylogenomic insights into the Fascicularia-Ochagavia group (Bromelioideae, Bromeliaceae). Botanical Journal of the Linnean Society (doi: 10.1093/botlinnean/boz085)
<p>DNA sequence alignments as well as the input and output files which specify the different data partitioning schemes used for phylogenetic analyses in Paule et al. (2020) Phylogenomic insights into the Fascicularia-Ochagavia group (Bromelioideae, Bromeliaceae). Botanical Journal of the Linnean Society (doi: 10.1093/botlinnean/boz085).</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.