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3,172 results for “Publications”
ingewortel/2022-Tcell-evolution: Publication
<p>Version of code as released with the publication 'Interpreting T-cell search "strategies" in the light of evolution under constraints'.</p>
Data for the publication "Socially competent robots"
<p>Data for the publication "Socially competent robots".</p>
Dataset I related to the publication: In silico Evaluation of the Thr58-associated Conserved Water with KRAS Switch-II Pocket Binders
<p>WaterMaps results related to the publication:</p> <p>Leini R, Pantsar T: In Silico Evaluation of the Thr58-Associated Conserved Water with 2 KRAS Switch-II Pocket Binders. J. Chem. Inf. Model. [accepted] https://doi.org/10.1021/acs.jcim.2c01479</p> <ul> <li>Individual .zip files contain the WaterMap results for each structure.</li> </ul> <p><em>Additional notes: there is a typo in the 5v90 file name (it is the 5v9o structure).</em></p> <p>Related datasets: 10.5281/zenodo.7341954 and 10.5281/zenodo.7342311</p>
Dataset for publication "Planar sodium-nickel chloride batteries with high areal capacity for sustainable energy storage"
<p><span lang="EN-US">High-temperature ZEBRA battery; sodium-metal halide battery; molten-salt battery; stationary energy storage; alkali metal anode.</span></p> <p>Data used to create Figures 1-4 in the above manuscript.</p>
Fig. 3 in EDITORIAL The Natal Museum and its journals: celebrating a century of publication, 1906-2005
Fig. 3. Geographic source of published articles.
Fig. 2 in EDITORIAL The Natal Museum and its journals: celebrating a century of publication, 1906-2005
Fig. 2. Cordylus warreni described by Boulenger (1908) from Ubombo.
Factors influencing open government data post-adoption in the public sector: The perspective of data providers
Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology–Organization–Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency's external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider's perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector's service thrust and become one of the digital government services provided to the citizen.
Raw Data for the publication of 'Machine-Learning of Piezoelectric Coefficients for Wurtzite Crystals'
<p>The dataset used for the ML model described in <strong>Machine-Learning of Piezoelectric Coefficients for Wurtzite Crystals. </strong></p> <p> </p>
Open data for publication: Advanced catalyst for CO2 photo-reduction: From controllable product selectivity by architecture engineering to improving charge transfer using stabilized Au clusters
<p>Original data for publication: Advanced catalyst for CO2 photo-reduction: From controllable product selectivity by architecture engineering to improving charge transfer using stabilized Au clusters, published in Small, 2023.</p> <p>The dataset is organized according to the Figures in the manuscript.</p>
Scaled RNA sequencing counts accompaining the publication Singh and Gollapalli 2023
<p>RNA-Seq analysis of WT and taurine-deficient osteoblasts.</p> <p>RNA was extracted from the mouse primary calvarial osteoblasts prepared from day 3–5 neonates of WT or <em>Slc6a6</em>-/- genotypes using the RNeasy extraction kit (Qiagen). RNA sequencing libraries were prepared with Illumina-compatible NEBNext Ultra<sup>TM</sup> II Directional RNA library kit at Genotypic Technology, Inc. The raw data were trimmed for adapter sequences and low-quality bases (<q30) using Cutadapt with default parameters [DOI:10.14806/ej.17.1.200] and checked for quality using FastQC [Andrews, S. (2010). FastQC: A Quality Control Tool for High Throughput Sequence Data]. Mouse raw reads were aligned to the mouse reference genome (mm9) using Hisat2(<em>24</em>) with default parameters. HTSeq [G Putri, S Anders, PT Pyl, JE Pimanda, F Zanini Analyzing high-throughput sequencing data with HTSeq 2.0 arXiv:2112.00939 (2021)] was used to estimate gene abundance. Downstream analyses were done using the analysis framework tidybulk (<em>25, 26</em>). The filterByExpr functionality of edgeR (<em>27</em>) was used to identify the abundant gene-transcripts included in downstream analyses using default parameters and the knock-out phenotype as the factor of interest. The algorithm trimmed mean of M valued (TMM) values identified sample-wise scaling to compensate for differences in sequencing depth across samples (<em>28</em>). For aiding data exploration, we reduced the data dimensionality using principal component analysis (PCA). Differential expression analyses were performed using the robust likelihood ratio implementation of edgeR, testing for differences in gene transcript abundance greater than 1 log-fold (<em>29, 30</em>). The ppcseq method was used to investigate the presence of outlier observation among the significant results to avoid biases in the statistics (<em>31</em>). The ggplot2 software produced most of the data visualizations, whereas tidyHeatmap was used for heatmap visualization (<em>32-34</em>). We performed gene-set enrichment analyses using the MSigDB C2 experimentally derived gene set, the clusterProfiler algorithm, and the visualization tool enrichplot (cran.r-project.org/) (https://rdrr.io/cran/msigdbr/) (<em>35</em>). An aging signature was composed of a union of gene sets from MSigDB and a set of genes derived from aging datasets identified in this study through gene set enrichment analysis and published literature (<em>36</em>). The <em>p</em>-values of gene set analyses were corrected for multiple testing using the Benjamini Hochberg correction (<em>37</em>).</p> <p> </p>
Original Data for Publication: Exceptionally Stable Dimers and Trimers of Au25 Clusters Linked with a Bidentate Dithiol: Synthesis, Structure and Chirality Study.
<p>Original Data for Publication: Exceptionally Stable Dimers and Trimers of Au25 Clusters Linked with a Bidentate Dithiol: Synthesis, Structure and Chirality Study. Angewandte Chemie, 2023</p>
Data related to publication: https://doi.org/10.1080/15361055.2022.2141528
<p>Set of input and output files to reproduce data in the publication: <a href="https://doi.org/10.1080/15361055.2022.2141528">https://doi.org/10.1080/15361055.2022.2141528</a></p>
Supplementary Tables and Datasets for publication: Spatial and finely tuned temporal metagenomics of river compartments reveals viral community dynamics in an urban stream
<p>This is a data dump of the tables, genomes, and .faa files that were too large to submit as part of the publication titled: Spatial and finely tuned temporal metagenomics of river compartments reveals viral community dynamics in an urban stream</p> <p> </p> <p>Files here include:</p> <p>-Fasta file containing 1230 vMAGs.</p> <p>-Zip file containing individual fasta files for 125 MAGs</p> <p>-Annotations output for DRAM and DRAM-v for all MAGs and vMAGs</p> <p>-.faa proteins file for the full Freshwater / Wastewater / TARA Oceans dataset that was used for vContact2 biogeography analyses</p>
Database underlying the scientific publication: A global database of seahorse research and innovation, from the beginning to 2022
<p>The present database supports the study "A global database of seahorse research and innovation, from the beginning to 2022". </p> <p>Scientific knowledge on seahorses is rapidly expanding in response to declines in wild populations due to habitat loss and fishing. A plethora of information has accumulated and up until now, a global, publicly available, curated database has never been produced in a transparent and systematic way. Here, we present the largest open-access repository of scientific publications addressing seahorses and, for the first time, of theses and patents. Compilation followed the “Preferred Reporting Items for Systematic reviews and Meta-Analyses” (PRISMA) Statement for systematic reviews and meta-analyses, with modifications. The current repository duplicates the number of scientific publication records found from previous bibliometric/literature/review studies, using three extra repositories of source publications, and a lifetime window, <em>e.i</em>. from the beginning to March 2022. A total of 977 scientific publications, 101 theses and 533 patents are gathered in the dataset, covering 41 seahorse species out of 48 currently recognized. In addition, current work presents for the first time new metrics on authors, institutions, and research subject/field/discipline/thematic, as well as the organism’s stage of development (embryo, newborn, juvenile, subadult and adult). To expand metadata usage, the database was also made available in the Dublin Core™ Metadata Initiative format. This contribution can be used as a core reference for scientists, aquaculturists and conservationists, and is useful to rapidly identify relevant literature and knowledge gaps, better understand seahorse research and discover new trends in seahorse research and innovation.</p> <p>The database is available in two formats:</p> <p>1) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase.xlsx">SeahorseBibliometricDatabase.xlsx</a></p> <p>and</p> <p>2) <a href="https://zenodo.org/api/files/5651b70d-a7a0-45e6-8ce6-cb92bbe6f7e5/SeahorseBibliometricDatabase_DublinCore.xlsx">SeahorseBibliometricDatabase_DublinCore.xlsx</a>, which is a vocabulary standardized (Dublin Core™ Metadata Initiative) version of the previous one, for metadata reuse.</p>
Public health emergency operations centres in Africa: A cross-sectional study assessing the implementation status of core components and areas for improvement, December 2021
<div> <p><span><strong>Objective:</strong> </span><span>To assess implementation status of Public Health Emergency Operations Centres (PHEOCs) in all countries in Africa.</span></p> <p><span><strong>Design:</strong> </span><span>Cross-sectional.</span></p> <p><span><strong>Setting:</strong> </span><span>Fifty-four national PHEOC focal points in Africa responded to an online survey between May and November 2021. Included variables aimed to assess capacities for each of the four PHEOC core components. To assess the PHEOCs' functionality, criteria were defined from among the collected variables by expert consensus based on PHEOC operations' prioritisation. We report results of the descriptive analysis, including frequencies of proportions.</span></p> <p><span><strong>Results:</strong> </span><span>A total of 51 (93%) African countries responded to the survey. Among these, 41 (80%) have established a PHEOC. Twelve (29%) of these met 80% or more of the minimum requirements and were classified as fully functional. Twelve (29%) and 17 (41%) PHEOCs that met 60%–79% and below 60% of the minimum requirements were classified as functional and partially functional, respectively. </span></p> <p><span><strong>Conclusions:</strong> </span><span>Countries in Africa made considerable progress in setting up and improving functioning of PHEOCs. One-third of the responding countries with a PHEOC have one fulfilling at least 80% of the minimum requirements to operate the critical emergency functions. There are still several African countries that either do not have a PHEOC or whose PHEOCs only partially meet these minimal requirements. This calls for significant collaboration across all stakeholders to establish functional PHEOCs in Africa.</span></p> </div>
Changes in the use of 'refugees' and 'migrants' in international news media and academic publications 2010–2022
<p>The dataset contains source data for Figure 2 in the article, based on search results from Factiva and Web of Science.</p>
Original data for publication "Intracluster ligand rearrangement: an NMR-based thermodynamic study"
<p>Original data for publication "Intracluster ligand rearrangement: an NMR-based thermodynamic study" published in Nanoscale, 2023.</p> <p>Original data used for the Figures are provided.</p>
Dataset from publication: Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton
<p>This data set contains the output of the numerical ocean model GETM used in the publication "Long-term changes in bloom dynamics of Southern and Central Baltic cold-water phytoplankton"</p>
unarXive: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network (open subset)
<h2><strong>Description</strong></h2><p>unarXive is a scholarly data set containing publications' structured full-text, annotated in-text citations, linked non-text content (mathematical notation, figure/table captions) and a citation network.</p><p>The data is generated from all LaTeX sources on <a href="https://arxiv.org/">arXiv</a> and therefore of higher quality than data generated from PDF files.</p><p>Typical uses are</p><ul><li>Training of ML models (citation recommendation, summarization, LLMs)</li><li>Citation context analysis</li><li>Bibliographic analyses</li></ul><h2><strong>Access</strong></h2><p>┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓<br>┃ <a href="https://github.com/IllDepence/unarXive/raw/master/doc/unarXive_data_sample.tar.gz"><strong>D O W N L O A D S A M P L E</strong></a> ┃<br>┗━━━━━━━━━━━━━━━━━━━━━━━━━━┛</p><p>Regarding the full data set, please note the following:</p><blockquote><p><strong>Note</strong>: this Zenodo record is the "open subset" of unarXive, which contains all permissively licensed papers from arXiv.org. You can find the <a href="https://doi.org/10.5281/zenodo.7752754">full version here</a>.</p></blockquote><p>The code used for generating the data set is <a href="https://github.com/IllDepence/unarXive">publicly available</a>.</p>
Data for SEROS publication
<p>Data generated using <a href="https://zenodo.org/badge/latestdoi/620307347">SEROS</a>.</p> <p>This has been used to write a soon to be published article.</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.