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15,733 results for “article”
One million articles from five post socialist countries with extracted features: sentiment, basic emotions, LDA topics and presence of influential domestic politicians
<p>This is a replication data for my paper under blind review.<br> <br> This paper develops a new prediction model for media content presence on a website. It analyses a new corpus of one million articles from five countries: Poland, Russia, Belarus, Kazakhstan and Ukraine, in two languages, Polish and Russian. These articles were scraped daily from seventeen websites in 2017-2020 period. The research applies a wide range of natural language processing methods to automatically derive several properties of each article: its topic, sentiment, basic emotions, mentions of influential domestic politicians. The articles’ embeddings and their cosine similarity are used to calculate the news context, such as how an article differs from the daily issue main themes. These features are used to estimate a logistic regression assessing the likelihood that the same or slightly modified, as measured by cosine similarity, article will remain on the main web page the next day. The key, and somewhat unexpected result is that articles with negative sentiment polarity are less likely to be published for more than one day. This result holds for all countries analyzed. It means that the negative news bias documented in the literature is partly offset by their shorter life cycle.<br> <br> Data is in the Python pickle format. Should be read into Python using the pickle.load() function. Each element (row) is the data frames or list represents one news article. Each file has the same format. Loading a pickle file returns a list of four elements:<br> 1. A dummy variable equal to 1 when the article was published the next day, with the text being identical<br> 2. A dummy variable equal to 1 when the article was published the next day, but we allow for small text modifications (cosine similarity > 0.99)<br> 3. Dataframe with extracted features, described below.<br> 4. List with texts of articles in Polish or Russian<br> <br> Ad 3. The columns of the dataframe are as follows (we refer to row number i in description):<br> - pandas index (may appear once or twice in the datafame)<br> - maxcosine: maximum cosine similarity between art i and all articles published next day<br> - cosine_diff: cosine similarity between article i and the elementwise average of embeddings of all articles in the current issue. Measure how similar is the article i to the core narrative of the current issue<br> - cosine_std: std. dev. of cosine similarity measures between all pairs of articles in the current issue. Measures how focused or dispersed is the current issue news coverage<br> - thirteen LDA topic groups: politics, legislation and legal affairs (POL); economy, finance, various sectors of the economy (ECO); military, war, protests, crime, security threats (MIL); international affairs, specific issues concerning foreign countries (INT); technology (TECH); family issues, culture, sport, education (FAM); regional issues and housing (REG); health issues and the Covid-19 pandemic (HEA); media (MED); accidents (ACC); religion (REL); the Soviet Union (USSR); and articles for which no topic could be determined (MISC).<br> - rsent.c: relative sentiment that is dictionary based sentiment of articles i minus the average sentiment of the newspaper. This approach eliminates newspaper or country idiosyncratic sentiment factors. c stands for Covid, the sentiment lexicon was augmented with Covid related terms<br> - dip_*: Variable measuring if influential domestic politicians are mentioned in article i, * represent a country acronym. If N is equal to the number of occurrences of the names of influential domestic politicians in the article i, dip_* = 0 if N=0, dip_* = 1+ log(N) if N>0.<br> - three or four names of news portals from which the data was scraped.<br> - names of six basic emotions and the article i emotion scores calculated using zero-shot learning and the large version of the XLM (Conneau et al., 2019) model from the huggingface transformers library available at https://huggingface.co/vicgalle/xlm-roberta-large-xnli-anli<br> Names of the politicians used to calculate dip variables<br> Russia<br> "putin" "medvedev" "vaino" "shoigu" "bortnikov" "lavrov" "mishustin" "kirienko" "sechin"<br> Ukraine<br> "zelensky" "shmygal" "akhmetov" "avakov" "ermak" "poroshenko" "medvedchuk" "groisman"<br> Kazakhstan<br> "sagyntaev" "mamin" "tokayev" "nnazarbayev" "dnazarbayeva" "kulibayev" "masimov"<br> Belarus<br> "alukashenko" "vakulchik" "vlukashenko" "kobyakov" "makei" "myasnikovich" "rumas" "golovchenko"<br> Poland<br> "kaczynski" "duda" "morawiecki" "ziobro"<br> Data coverage<br> Country, news portal, numbr of articles<br> Russia iz.ru 43,782<br> Russia kommersant.ru 46,070<br> Russia novayagazeta.ru 29,357<br> Russia vedomosti.ru 27,797<br> Kazakhstan informburo.kz 29,375<br> Kazakhstan nur.kz 67,350<br> Kazakhstan tengrinews.kz 44,285<br> Kazakhstan zakon.kz 109,442<br> Belarus bdg.by 33,447<br> Belarus belgazeta.by 21,995<br> Belarus sb.by 83,685<br> Ukraine kp.ua 194,792<br> Ukraine segodnya.ua 45,835<br> Ukraine vesti.ua 90,559<br> Poland gazeta.pl 53,321<br> Poland rp.pl 49,587<br> Poland wpolityce.pl 76,625<br> <br> In the provided dataframes the number of observations is smaller, because the issues for which there was no next day issue, were removed.<br> <br> Data was scraped daily between 2017 or 2018 (depending on the country) and January 2021.</p>
Data for the journal article: 'Ecology of testate amoebae along an environmental gradient from bogs to calcareous fens in East-Central Europe: development of transfer functions for palaeoenvironmental reconstructions'
<p><strong>DATA DESCRIPTION</strong>: This repository provides training sets and R scripts for the development of three transfer function models that allow reconstructions of Holocene hydrochemical or hydrological (hydroclimatic) conditions from testate amoeba assemblages preserved in mires of East-Central Europe. Specifically, the repository contains (<em>i</em>) <strong>the full dataset and an R script for the development of the final MLRC model</strong> for inferring past water-mineral richness (expressed as pH) in various types of mires; (<em>ii</em>) <strong>the minerotrophic subset and an R script for the development of the final WAPLS com1 model</strong> for the reconstructions of past water-mineral richness (expressed as pH) in calcareous and rich fens; and (<em>iii</em>) <strong>the ombrotrophic subset and an R script for the development of the final PLS com2 model</strong> for inferring past depth to water table (DWT) in bogs and poor fens. Additionally, the repository includes <strong>the original versions of the full, minerotrophic and ombrotrophic training sets</strong> (i.e., the versions before removing outlier samples and rare taxa due to transfer function optimisation), and <strong>the compiled dataset</strong>, from which the three above-mentioned training sets were generated. For details, see <a href="https://doi.org/10.1016/j.palaeo.2022.111145">Šímová et al. (2022)</a>.</p> <p><strong>ARTICLE ABSTRACT</strong>: Testate amoebae play an important role in biomonitoring and the understanding of peatland (palaeo)ecology. However, their application has been mainly limited to <em>Sphagnum</em>-dominated peatlands, especially ombrotrophic bogs. To facilitate wider use of these microorganisms, we explored their ecology along a gradient from mineral-poor acidic bogs to mineral-rich calcareous fens with tufa formation using a new calibration dataset of over 250 samples from East-Central Europe. Specifically, we examined environmental controls on testate amoebae along the complete gradient and separately in the minerotrophic (pH >5.5) and ombrotrophic (pH <5) parts. Based on these findings, we developed and statistically evaluated transfer function models for the dominant factors controlling the community composition of these protists. Multivariate statistical analysis showed that groundwater pH was the main driver of species composition in the full and minerotrophic datasets. In contrast, testate amoeba communities in the ombrotrophic dataset were primarily structured by depth to water table (DWT). Under leave-one-out cross-validation (LOO), the best-performing model for DWT gave a prediction error (RMSEP) of 5.43 cm. The most robust models for groundwater mineral richness yielded RMSEP<sub>LOO</sub> of 0.45 and 0.27 pH units, for the full and the minerotrophic dataset respectively. This is the first study to present a complete set of testate amoeba-based transfer functions that allow reconstructions of Holocene hydrochemical and hydrological (hydroclimatic) variability in different mire types within one region. The new models open up the possibility for testate amoebae to become a valuable tool in palaeoecological research, although further work is needed to fully assess their performance and usefulness in practice.</p>
Data set releted to article "Pressure overload activates DNA-damage response in cardiac stromal cells"
<p>Repository data from a study on effects of pressure overload on DNA-damage activation in cardiac stromal cells</p>
Supplementary Material for "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" article.
<p>Data presented in the study "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" </p>
Raw data for article "Palladium-Catalyzed trans-Hydroalkoxylation: Counterintuitive Use of an Aryl Iodide Additive to Promote C-H Bond Formation"
<p>Raw NMR, IR and HPLC data for the article "Palladium-Catalyzed trans-Hydroalkoxylation: Counterintuitive Use of an Aryl Iodide Additive to Promote C-H Bond Formation" published in ACS Catalysis, DOI: </p> <p><a href="https://doi.org/10.1039/D2CC00167E">https://doi.org/10.1021/acscatal.2c01809</a> </p> <p>The main folders correspond to the different parts of the manuscript and the number of the subfolders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>
Supporting materials for the article "Neutral atomic hydrogen as an efficient catalyst for interstellar formation of adenine and guanine"
<p>The data files contain the computed atomic coordinate data of all optimized molecular structures in the standard XYZ chemical file format. </p> <p>The PDF file contains 1) the potential diagrams of reaction paths for producing adenine and guanine from H-catalyzed reactions between h-pyrimidine-2-one and (cyanamide or carbodiimide), and 2) the IR and electronic adsorption spectra of intermediates, as well as 3) a detailed description to the aformentioned data files.</p>
Supporting materials for the article "Neutral atomic hydrogen as an efficient catalyst for interstellar formation of adenine and guanine"
<p>The data files contain the computed atomic coordinate data of all optimized molecular structures in the standard XYZ chemical file format. </p> <p>The PDF file contains 1) the potential diagrams of reaction paths for producing adenine and guanine from H-catalyzed reactions between h-pyrimidine-2-one and (cyanamide or carbodiimide), and 2) the IR and electronic adsorption spectra of intermediates, as well as 3) a detailed description to the aformentioned data files.</p>
Data and code for the article "Superconducting qubit readout via low-backaction electro-optic transduction"
<p>Data set for the manuscript "Superconducting qubit readout via low-backaction electro-optic transduction", which will appear in Nature. </p>
Dataset_and_analysis_for_this_article
<p>This is the dataset and the analysis for the article title: <strong>Effect of Patient Portals on Perception of Care Quality, General Health, and Mental Health: An Exploratory Analysis.</strong></p>
Input files and structures for article "Carbon dioxide fixation in RuBisCO is protonation state dependent and irreversible"
<p>Pdb file and amber topology of the initial RuBisCO model together with parameter files for the MD simulations with AMBER to equilibrate the system.</p> <p>Structures of reactant, transition state and products in the enzyme RuBisCo used to correct the activation and reaction free energies. Molpro input files used in the projector-based embedding calculations are provided. The same holds for the calculations involving the Zn cation. </p> <p>Optimized structures used to calculate descriptors with conceptual DFT. </p>
Matlab Dataset and Codes For the Article (Unsteady State Capillary Retention in Porous Media)
<p>The uploaded dataset and software codes contain the Matlab scripts used to solve the capillary retention equation numerically and output results (in the zip file). The file 'plot_article.m' contains the scripts used to display the results as figures attached in the article. </p>
Supplementary material for "Evaluating the Performance of High Spatial Resolution UAV-photogrammetry and UAV-LiDAR for Salt Marshes: the Cádiz Bay Study Case" article
<p>Data presented in the study "Evaluating the Performance of High Spatial Resolution UAV-photogrammetry and UAV-LiDAR for Salt Marshes: the Cádiz Bay Study Case".</p>
On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model: Article Data
<p>NetCDF datatset of presented results from the publication titled "On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model" in the Journal of Geophysical Research - Atmospheres, Paper #2021JD036214R.</p>
Data files associated with the article entitled: "High-throughput behavioral phenotyping of tiny arthropods: chemosensory traits in a mesostigmatic hematophagous mite" (accepted in Journal of Experimental Zoology - part A))
<p>Here are provided three groups of datasets, corresponding respectively to the data obtained from MiteMap bioassays (1) with the monomolecular reference substances (geraniol and NH<sub>3</sub>), (2) with the patented blend MIX1.0, (3) with the odors emitted by the mites' bodies. These datasets were analyzed using the script provided in RMarkdown format in the Zenodo repository DOI 10.5281/zenodo.6109388. A folder is also provided with the heatmaps associated with these data grouped in subfolders by farm x modality.</p>
Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models
<p>Supporting dataset for drafted article Evaluation of Multi-step Forecasting Models</p>
Dataset for journal article: "Acid-base-induced fac -> mer isomerization of luminescent iridium(III) complexes"
<p>Anastasia Yu. Gitlina, Farzaneh Fadaei-Tirani, Albert Ruggi, Carolina Plaice, Kay Severin*<br> Acid-base-induced <em>fac→mer</em> isomerization of luminescent iridium(III) complexes<br> <em>Chem. Sci.</em> <strong>2022</strong>, DOI: 10.1039/d2sc02808e</p> <p>The dataset contains the following raw data - NMR, HRMS, XRD, CD, HPLC, photophysical characterization (emission, excitation, absorption, emission lifetimes, emission quantum yields). A short video showing the isomerization from fac- to mer-Ir(ppy)3 in the well plate is also included to the data folder.</p>
Dataset produced for the article 'IRIS Burst Properties in Active Regions'
<p>IDL .sav file containing information required to reproduce the work published in 'IRIS Burst Properties in Active Regions' (Nelson & Kleint, 2022, A&A).</p>
Supplementary files to article "Intra- and interexaminer measurement variability analysis of an orthodontic gauge device to determine incisor occlusal surface angles in the horse"
<p>Supplementary files to article "Intra- and interexaminer measurement variability analysis of an orthodontic gauge device to determine incisor occlusal plane angles in the horse" submitted to Veterinary Sciences - Veterinary Surgery (Section) - Current Research in Equine Dentistry (Special Issue); submitted 31st May 2022</p>
Supplementary dataset for the research article "Abrupt increase in ENSO variability at 700 CE triggered by solar activity"
<p>The dataset includes coral Sr/Ca ratio from the Xisha Islands during 665-749 CE for the research article "<strong>Abrupt increase in ENSO variability at 700 CE triggered by solar activity</strong>" by Jiang et al.</p>
Dataset & Code related to article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'
<p>This record contains the 7768 lung masks <strong>manual annotations, implementation code, and pre-trained models</strong> related to the article 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning'</p> <p>Also we include the visualised, selected top D reliable CT slices for all COVID-19 patients in the test dataset for better understanding. </p> <p>For the detailed usage of the data and code, please refer to https://github.com/smallmax00/BAGCN-Covid19</p> <p> </p>
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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.