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151 results for “Reference dataset”
EUParlspeech: A Dataset of Over 1 Million References to European Integration in Parliamentary Speeches
<p>As part of my PhD dissertation I developed EUParlspeech, a dataset of over 1 million references to European integration made in the plenary debates of ten national parliaments between 1989 and 2019. It is built from existing datasets of parliamentary speeches, most notably Parlspeech (Rauh and Schwalbach 2020). The dataset has applications for scholars of EU integration, party competition, political communication, and international relations. This chapter in my dissertation explains the construction of the dataset, describes its features, and demonstrates its face, convergent, and predictive validity. Automated analysis of parties' EU statements in parliament yield meaningful and well-known cross party differences, with challenger parties more likely to send clearer, more sceptical cues on integration than mainstream parties. Moreover, these automated measures correlate highly with expert assessments (CHES) and - in the case of the UK's Conservative Party - individual MPs' ideal point estimates based on EU statements in plenary debates can predict their subsequent vote and position at the 2016 referendum. I conclude that EUParlspeech data provide a promising new approach to studying party contestation over European integration.</p>
Data from: In situ reference datasets from the TropiSAR and AfriSAR campaigns in support of upcoming spaceborne biomass missions
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Complexity and Quality Dockerfile Reference Dataset
<p>A manually curated dataset comprising 60 docker files. These are taken from the ten most popular images of Docker-Hub, the Docker-library provided by Docker and various GitHub repositories. These files have been classified according to their complexity and quality.</p>
Becoming LTi - Dataset : Reference files and Software Containers
<p><strong>Dataset from article</strong> : Distinct waves from the hemogenic endothelium give rise to layered Lymphoid Tissue Inducer cell ontogeny</p> <p><strong>Summary:</strong> During embryogenesis Lymphoid Tissue Inducer (LTi) cells are essential for lymph node organogenesis. These cells are part of the Innate Lymphoid Cell (ILC) family. Although their earliest embryonic hematopoietic origin is unclear, other innate immune cells were shown to be derived from both early hemogenic endothelium in the yolk-sac as well as the aorta-gonad-mesonephros. A proper model to discriminate between these locations was unavailable. In this study, using a new Cxcr4-CreERT2 lineage tracing model, we identify a major contribution from embryonic hemogenic endothelium, but not yolk-sac, towards the LTi progenitors. Conversely, embryonic LTi cells are replaced by hematopoietic stem cell derived cells in adult. We further show that within the fetal liver common lymphoid progenitors differentiate into highly dynamic alpha-lymphoid precursor cells, which at this embryonic stage preferentially mature into LTi precursors and establish their functional LTi cell identity only after reaching the periphery.</p> <p><strong>Data </strong>:</p> <p>1. SPlab_BecomingLTi_01_Reference.tar.gz : Reference files used for the data analysis.</p> <p>2. SPlab_BecomingLTi_02_containers.tar.gz : Singularity and Docker images used for the data analysis.</p>
Colonization history of the Western Corn Rootworm: Dataset, ABC reference tables and ABC parameter files
<p>This data archive is associated with the article “Colonization history of the Western Corn Rootworm (<em>Diabrotica virgifera virgifera</em>) in North America: insights from random forest ABC using microsatellite data”. Authors: Eric Lombaert, Marc Ciosi, Nicholas J. Miller, Thomas W. Sappington, Aurélie Blin & Thomas Guillemaud.</p> <p>The zip files contains the microsatellite dataset, the parameter files and scripts for simulating and summarizing datasets, the ABC reference tables, and the R scripts for analyzing the data. See the Readme file for details.</p>
Overcoming Digital Divide Between Europe and Southeast Asia, EU Project, References Dataset Part1
<p>This reference list contains publications and data sets concerning the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it. Research was carried out</p><p>The creation of this list is the result of a review of literature and databases as part of the implementation by the Krakow University of Economics of tasks resulting from Task Package no. 1 included in the ODDEA project</p><p>In the "ODDEA" project some Work Packages were prepared. In Work Package no 1, which is called "<i>The state-of-the-art analysis of the underlying factors of the digital divide within the EU and within the Southeast Asia</i>", the main objective was defined as: "To provide an overview of the literature and existing indicators on the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it". </p><p>This task is based on the literature review and on the qualitative analysis of recently published indicators (e.g., EIBIS, 2021, CIS of Eurostat, World Bank enterprise dataset) and other relevant country based surveys. This analysis will enable to identify possible economic, social, political, and technological factors that may explain the digital divide in the EU and in the Southeast Asia and formulate relevant hypotheses for individual EU countries, groups/clusters, the European Union as a whole and the Southeast Asia and project countries in that region. A deeper analysis of these clusters will also help to identify any idiosyncratic features that these countries share regarding the use of digital technologies, which will be used in the empirical study implemented within subsequent WPs. </p><p>Adopting the assumptions and objective presented in WP1, appropriate identification was made in the scope of the Literature Review in the relation to the Polish economy as a member of the European Union (EU). </p><p>Because two partners in ODDEA were from Poland – it means AGH University and Krakow University of Economics, the division of the collected bibliography into specific databases between these research centres was developed. The Krakow University of Economics was responsible for finding relevant literature from the following databases:</p><ol><li>Statistics Poland</li><li>EBSCOhost (Polish language only)</li><li>INFONA </li><li>Legalis (CH Beck) </li><li>Lex Informator prawno-gospodarczy (Legal and economic guide)</li><li>ORBIS </li><li>SWAiD Platforma Analityczna (Analitical Platform of Statistics Poland)</li></ol><p>The preparation of the ODDEA domestic literature database (in this example for Poland) is an important component of the implementation of the objective under WP1 of this project.</p><p> </p>
Dataset related to article "Standardized Diagnostic Reference Levels for Paediatric Interventional Cardiology: data from an Italian referral centre"
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Reference datasets of SCRIP for scATAC-seq
<p>Transcription regulators and histone modifications reference for SCRIP</p> <p>SCRIP can be downloaded from <a href="http://github.com/wanglabtongji/SCRIP">https://github.com/wanglabtongji/SCRIP</a></p> <p>Curated annotation from Cistrome Data Browser</p> <p>Version: 0.0.220112</p> <p>Release date: 2022-01-12</p>
Dataset and reference: Marine gastropods at higher trophic level show stronger tolerance to ocean acidification
<p><span>Climate change and anthropogenic activities are producing a range of new selection pressures, both abiotic and biotic, on marine organisms. Although it is known that climate change can differentially affect fitness-related traits at different trophic levels of the food web, it is not clear if different trophic levels will respond via phenotypic plasticity </span><span>in the form of maintenance of phenotypes in the face of abiotic and biotic environmental stress </span><span>similarly. To answer this question, we combined a mesocosm experiment (120 days) using a food web comprising three gastropod species from two trophic levels (grazers and meso-predators) and a meta-analysis including 38 studies to address whether different trophic levels exhibit similar phenotypic responses to abiotic and biotic variables. Abiotic (ocean acidification) and biotic (predation) stress significantly influenced body mass, shell mass, shell thickness, and shell strength in both grazers and meso-predators in the mesocosm experiment, with the magnitude of OA effects greater on the meso-predator than the grazers; a result supported by the meta-analysis. In contrast, both mesocosm experiment and meta-analysis found that predation risk induced stronger responses in shell morphology for grazers compared to meso-predators. Together, our findings indicate that higher trophic level species are better able to maintain aspects of their phenotype under OA, suggesting that they may show greater tolerance to climate change effects in general, while lower trophic levels express higher levels of plastic inducible defences to maintain function when under threat of predation. By using marine snails as a model, our study provides new knowledge for understanding how changing environmental conditions may alter biological interactions, and increases our understanding of how climate change may affect ecological communities in which gastropods play a key role.</span></p>
Assembly graphs and reference Verkko assembly for HG002 dataset
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Data from: Metazoan mitochondrial gene sequence reference datasets for taxonomic assignment of environmental samples
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Dataset and reference: Marine gastropods at higher trophic level show stronger tolerance to ocean acidification
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FACS validation dataset: An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray (III)
GEO Series GSE112618. Homo sapiens. 6 samples. Type: Methylation profiling by genome tiling array.
A multi-omics dataset of human transcriptome and proteome stable reference
GEO Series GSE234201. Homo sapiens. 110 samples. Type: Expression profiling by high throughput sequencing.
3D chromatin architecture of drug-tolerant cancer cells at single-cell resolution (Reference dataset of population cells)
GEO Series GSE195810. Homo sapiens. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Longitudinal dataset: An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray (I)
GEO Series GSE110530. Homo sapiens. 12 samples. Type: Methylation profiling by genome tiling array.
Dataset related to article "A reference framework for standardization and harmonization of CT Radiomics features: the "CadAIver" analysis"
<p><strong>Abstract</strong></p><p> </p><p><strong>Background</strong></p><p> </p><p>In recent years, Radiomics features (RFs) have been developed to provide quantitative, standardized information about shape, density/intensity and texture patterns on radiological images. Several studies showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. In this study we analyze the effects of CT acquisition parameters on RFs of lumbar vertebrae in a cadaveric donor.</p><p> </p><p><strong>Methods</strong></p><p> </p><p>112 unique CT acquisitions from cadaveric truck were performed on 3 different CT scanners varying KV, mA, field of view and reconstruction kernel settings. Lumbar vertebrae were segmented through a deep learning convolutional neural network and RFs were computed. The effects of each protocol on each RFs were assessed by univariate and multivariate Generalized Linear Model. Further, we compared the GLM model to the ComBat algorithm in the efficiency in harmonizing CT images.</p><p> </p><p><strong>Findings</strong></p><p> </p><p>From GLM, mA variation was not associated with alteration of RFs , whereas kV modification was associated with exponential variation of several RFs, including First Order (94.4%), GLCM (87.5%) and NGTDM (100%).</p><p>Upon cross-validation, ComBat algorithm obtained a mean R2 higher than 0.90 in 1 RFs (0.90%), whereas GLM model obtained high R2 in 21 RFs (19.6%), showing that the proposed GLM could effectively harmonize acquisitions better than ComBat.</p><p> </p><p> </p><p><strong>Interpretation</strong></p><p> </p><p>This study represents the first attempt in describing the effects of CT acquisition parameters in bone RFs in a cadaveric donor. Our analyses showed that RFs could be substantially different according to the variation of each acquisition parameter and in dataset obtained from different CT scanners. These differences can be minimized using the proposed GLM model. Publicly available dataset and GLM could foster the research of Radiomics-based studies by increasing harmonization across CT protocols and vendors.</p>
Reference dataset for sm-SNIPER pipeline
<p>Reference dataset for sm-SNIPER pipeline</p>
Reference-free X-ray fluorescence analysis using well-known polychromatic synchrotron radiation - Dataset
<p>The files contain the data corresponding to Fig 4d of the manuscript, i.e. the normalized count rate for different photon energies in keV.<br>Fig 4: Theoretical emission spectra of the sample. These spectra are based on different excitation spectra for a 4 µm thick titanium foil and are normalized to the titanium Ka line for better comparability. All of these spectra are based on typical experimental conditions.</p> <p><br>The files contain the data corresponding to Fig 5 of the manuscript, i.e. the count rate in 1/s for different photon energies in keV.<br>Fig 5: Experimental spectra of the 4 µm titanium sample. Negligible signal from the steel sample holder is visible as indicated in the figures (mainly Cr, Mn, Fe, Ni, Cu). The escape peak associated with the titanium K lines (esc.) and the elastic Rayleigh scattering peak (E0) are also indicated.</p> <p> </p>
State of the Art Photon Therapy Versus Particle Therapy for Small Lung Tumors; a Planning Study Based on a Reference Dataset of Patients
ClinicalTrials.gov study NCT02038413. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.