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54 results for “PDF”
PDF To XML
<p>Do you have tons of PDFs stashed with precious data but can't access them easily? Well, here's Smallpdf Free with what you need: a new, innovative <a title="PDF to XML" href="https://smallpdffree.com/pdf-to-xml/" target="_blank" rel="noopener"><strong>PDF to XML</strong></a> converter! With our feature-rich PDF to XML converter, you can convert your PDFs from static documents into easily usable data.</p>
PDF projections for the HL-LHC and the LHeC
<p>For the foreseeable future, the exploration of the high-energy frontier will be the domain of the Large Hadron Collider (LHC). Of particular significance will be its high-luminosity upgrade (HL-LHC), which will operate until the mid- 2030s. In this endeavour, for the full exploitation of the HL-LHC physics potential an improved understanding of the parton distribution functions (PDFs) of the proton is critical. </p> <p>Since its start of data taking, the LHC has provided an impressive wealth of information on the quark and gluon structure of the proton. Indeed, modern global analyses of parton distribution functions (PDFs) include a wide range of LHC measurements of processes such as the production of jets, electroweak gauge bosons, and top quark pairs. Here we provide <a href="https://arxiv.org/abs/1810.03639">quantitative projections for global PDF fits </a>that include the information expected from the High-Luminosity LHC (HL-LHC) in the LHAPDF format. These projections have been already used in particular in the <a href="https://arxiv.org/abs/1902.04070">HL-LHC CERN Yellow Reports</a>. </p> <p>The HL-LHC program would be uniquely complemented by the proposed Large Hadron electron Collider (LHeC), a high-energy lepton-proton and lepton-nucleus collider based at CERN. Here we also present PDF projections based on the expected LHeC measurements of inclusive and heavy quark structure functions. These projections are presented both for the LHeC individually, and also in connection with the HL-LHC pseudo-data.</p> <p>The list of <a href="https://lhapdf.hepforge.org/">LHAPDF sets </a>that is made available in this repository are the following:</p> <ol> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen1_lhec.tgz">PDF4LHC15_nnlo_hllhc_scen1_lhec.tgz </a>: Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 1 and also by the LHeC pseudo-data.</li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen1_lhec.tgz">PDF4LHC15_nnlo_hllhc_scen2_lhec.tgz </a>: Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 2 and also by the LHeC pseudo-data.</li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen1_lhec.tgz">PDF4LHC15_nnlo_hllhc_scen3_lhec.tgz </a>: Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 3 and also by the LHeC pseudo-data.</li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_lhec.tgz">PDF4LHC15_nnlo_lhec.tgz </a>: Based on the PDF4LHC15 global fit supplemented by the LHeC pseudo-data.</li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen1.tgz">PDF4LHC15_nnlo_hllhc_scen1.tgz</a> : Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 1. </li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen2.tgz">PDF4LHC15_nnlo_hllhc_scen2.tgz </a>: Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 2. </li> <li><a href="https://zenodo.org/api/files/3f595d78-7657-42bb-939a-77db381bd185/PDF4LHC15_nnlo_hllhc_scen3.tgz">PDF4LHC15_nnlo_hllhc_scen3.tgz </a>Based on the PDF4LHC15 global fit supplemented by HL-LHC pseudo-data in Scenario 3. </li> </ol>
Main sediment profiles and 3D-pdf from archaeological wetland excavation at Immensee-Dorfplatz
<p>These are a 3D model and the longest and most representative sediment profiles through the waterlogged Late Neolithic lakeside site of Immensee-Dorfplatz (SZ). </p>
Background optimization of powder electron diffraction to implement e-PDF technique and study the local structure of iron oxide nanocrystals
<p>The local structural characterization of iron oxide nanoparticles is explored using a total scattering analysis method known as Pair Distribution Function (PDF) (also known as Reduced Density Function) profiles derived from background corrected powder electron diffraction patterns. Due to the strong coulombic interaction between the electron beam and the sample, electron diffraction generally leads to multiple scattering, causing redistribution of intensities towards higher scattering angles and an increased background in the diffraction profile. In addition to this, the electron-specimen interaction gives rise to an undesirable inelastic scattering signal that contributes primarily to the background. The present work demonstrates the efficacy of a pre-treatment of the underlying complex background function, which is a combination of both incoherent multiple and inelastic scatterings that cannot be identical for different electron beam energies. Therefore, two different background subtraction approaches are proposed for the electron diffraction patterns acquired at 80 kV and 300 kV beam energies. From the least square refinement (small-box modelling), both approaches are found to be very promising, leading to a successful implementation of the e-PDF technique to study the local structure of the considered nanomaterial.</p>
Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments - PDF, datasets and R script
<p><strong>PDF, dataset and R script for the paper:</strong></p> <p>Tariel J, Plénet S, & Luquet E. <em>Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments</em>. </p> <p>Two data sets are provided: one for the analysis of the behavior (dataBehaviour.csv) and one for the analysis of other variables (weight, shell thickness and morphology; dataMorphology.csv). There are analyzed in the same R script (Script_TARIEL-Juliette.R)</p> <p><strong>Signification of variables names:</strong></p> <p>G1: treatment/environment of the grand-parental generation (control C or with predator-cue P)<br> G2: treatment/environment of the parental generation (control C or with predator-cue P)<br> G3: treatment/environment of the offspring generation (control C or with predator-cue P)<br> Family: unique ID for each family<br> Individual: number to identify siblings within a family <br> ID: unique ID for each individual <br> W: snail total weight (g)<br> Th: shell thickness (mm)<br> L: shell length (mm)<br> l: shell width (mm)<br> Lo: aperture length (mm)<br> lo: aperture width (mm)<br> crawlout : position of the snail (0: below the water surface; 1: above/on the water surface)<br> Day : day of measurement (crawling-out behaviour was measured three times through three consecutives days d2, d3 and d4)</p>
Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura dioica and supplementary movie S1-20 with high resolution
<p>The larvacean, Oikopleura dioica is a planktonic chordate, which is an emerging model organism with short life cycle of 5 days and belongs to tunicates (urochordates). Organ formation in the trunk proceeds in seven hours form hatching of tailbud larvae at three hours after fertilization (hpf) to completion of organ formation in fully functional juveniles that start feeding at 10 hpf and are just miniature of adult form.</p> <p>The juveniles were fixed at 10.5 hours post fertilization, 30 min after the tail shift (Nishida, H., 2008 Development of the appendicularian Oikopleura dioica: culture, genome, and cell lineages. Dev. Growth Differ. 50, S239–S256.). The data would be used as a basic morphological data of this animal to explore organ structures and cellular composition.</p> <p>This PDF file allows one to view 3D juvenile of O. dioica in any desired directions. One can show or hide the organs and rotate them by mouse. Open this PDF file and activate it as described in Adobe Acrobat User Guide (https://helpx.adobe.com/acrobat/using/displaying-3d-models-pdfs.html). Click Toggle "Model Tree button" with three small rectangulars in the tool bar. Then in the left panel, one can select the organs and nuclei you want to see. Select lighting as "daylight". Select solid or transparency mode.<br> The Juvenile 3D image was reconstructed with Amira software using 1967 serial section images of SBF-SEM (Serial block face scanning electron microscopy) that are available at https://doi.org/10.5061/dryad.d51c5b012.</p> <p>The Zip file also contains supplementary movie S1-20 (avi file) with high resolution and the legends (PDF file).</p> <p>This data is related to the paper, 3D reconstruction of structures of hatched larva and young juvenile of the larvacean Oikopleura dioica using SBF-SEM. (https://www.nature.com/articles/s41598-021-83706-y).</p>
Posterior PDF samples for flicker model parameters
<p>h5py files containing posterior PDF samples of the flicker-logg-rho_star relations described in the associated paper (submitted).</p>
Updated posterior PDF samples for flicker model parameters
<p>Updated posterior PDF samples for for the model parameters of the flicker-logg-rho_star relations. </p>
PDF exports of pages from the Smart Data Factory web site
<p>The attached zip file contains (in all three languages of the web site, namely Italian, German, and English) the following PDF exports:</p> <ol> <li>Smart Data Factory - Main page.pdf: the main page of the Smart Data Factory web site containing general information about the Smart Data Factory as well as links to offers, past projects, and the research groups of the Faculty of Computer Science of the Free University of Bozen-Bolzano</li> <li>Smart Data Factory - Offers.pdf: an example of a list of offers.</li> <li>Smart Data Factory - Offer.pdf: an example of one offer.</li> <li>Smart Data Factory - Archive items.pdf: an example of a list of archive items (past projects).</li> <li>Smart Data Factory - Archive item.pdf: an example of an archive item.</li> <li>Smart Data Factory - Research group.pdf: an example of the presentation of a research group.</li> </ol>
Dataset: PDF Solutions, Inc. (PDFS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
List of multinational publishers of serial publications established by the ISSN Network (PDF format)
<p>The ISSN International Centre and the ISSN Network of nearly 100 national centres around the world are authorized by the International Organization for Standardization (ISO) to implement serial identification according to the terms of ISO3297:2022 standard.<br> The ISSN Network serves publishers who wish to uniquely identify their serial publications. These publishers contact the National Centres of the countries where they are located. When there is no national centre, they contact the ISSN International Centre.<br> The place of publication determines the ISSN Centre responsible for identification. However, when a publisher operates in several countries, an agreement may be reached between this multinational publisher and the involved ISSN Centres so that all requests for identification are handled by one centre.<br> The following list identifies more than 300 multinational publishers. These publishers have been identified through the ISSN Portal (https://portal.issn.org) data. The ISSN International Centre works with the National Centres on this list of publishers to determine their responsibility for identifying the publications of these publishers.<br> The list also contains information on the names by which these publishers are known and a mapping of links between publishers. It also contains a link to the ISNI and VIAF databases in which these publishers are also recorded. This data is managed by the ISSN Network in an internal wiki that will be updated regularly.<br> The ISSN Network makes this list available to the publishing community and to librarians. They can contact the ISSN International Centre to share comments (additions, modifications, deletions) on this list which will be published quarterly.</p>
Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura dioica and supplementary movie S1-20 with high resolution
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AMIP and AMIP-P4K simulation dataset with Park-RH and Gauss-PDF cloud scheme
<p>This dataset includes AMIP and AMIP-P4K simulations using Park-RH and Gauss-PDF cloud schemes, respectively. </p> <p>Park-RH cloud scheme is the default cloud macrophysical scheme in NCAR CAM5. </p> <p>Gauss-PDF cloud scheme is a statistical cloud scheme, developed by Qin et al. (2018). </p> <p>All simulations are AMIP-type simulations from 1979 to 1988. The monthly output is archived here. </p> <p>Details of the model setup and the difference of two cloud schemes could be found in its related submitted manuscript. </p>
Revised TOPAS input files for the simulation of WAXS, SAXS and PDF
<p>TOPAS input files for discrete and low-dimensional structure models: (1) a benzene molecule, (2) a PbS quantum dot, (4) a hydroxyapatite nano-fibril and (5) turbostratic carbon</p> <p>TOPAS calculations can be performed with the blank data file or <em>yobs_eqn =1; min 0 max 157.5204 del 0.1</em></p> <p>the file path of the blank data file has to be updated</p> <p>models can be found at <a href="https://doi.org/10.5281/zenodo.8169025" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.8169025</a></p>
(PDF-like) An Ontology for Supporting Digital Forensics Controlled Experiments: Early Stages of Development - Figures
<p>Figures from An Ontology for Supporting Digital Forensics Controlled Experiments: Early Stages of Development</p>
PDF and PSD files of DiapixGEtv picture materials – German version adapted to elicit tense vowels
<p>This zipped folder contains PDF and PSD files of our translation of the DiapixUK picture materials by Baker & Hazan (2011) - adapted to elicit tense vowels in German (DiapixGEtv).</p> <p>For our purpose we only modified the written information when making adjustments to the original DiapixUK versions of the files. Our aim was to include as many tense vowels [i:, e:, a:, o:, u:] as possible while remaining subtle enough so as not to alert the participants to our research focus . The additional documentation contains information on the translation process and an overview over the adapted text parts containing target vowels in stressed syllables including the target word with its target vowel and pronunciation as well as its meaning in English.</p> <p>In order to facilitate further adaptation/modification each item in the PSD files is in a separate layer.</p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1412, 416591334</p>
Data and scripts for the paper: Evaluating and improving a PDF cloud scheme using high-resolution super-large-domain simulations
<p>This is a collection of the processed data, plotting scripts, and processing scrips used in the making of the publication: "Evaluating and improving a PDF cloud scheme using high-resolution super-large-domain simulations" By Griewank, Schemann, and Neggers. </p> <p>WARNING: These files were used exclusively used by Philipp Griewank on his local work station, and the main purpose of uploading them is for reasons of scientific transparency. They are not highly optimized tools intended for general usage, so comments are hit and miss. Feel free to contact Philipp Griewank (currently philipp.griewank@uni-koeln.de) with any questions. </p>
Crear un pdf para impresión en gvSIG 1.11
<p>In this video is shown how to create a print ready map with gvSIG 1.11</p>
PDF of rescaled front fluctuations in Contact Process
<p>Data of the PDF of chi (rescaled front fluctuations), for 1, 2 and 3 dimensions. It has been measured for the interface representation of a contact process system at its critical point. See <a href="https://arxiv.org/abs/2304.10883">arXiv:2304.10883</a> for more details.</p> <p>Each file contain four headers starting with #. The columns show, in order, the chi, the probability and the error estimate by the jackknife procedure. All the columns are separated by space.</p> <p>Data for one-dimensional system in: chiPDF-1D-L8192-f2000.dat<br> Data for two-dimensional system in: chiPDF-2D-L512-f498.dat<br> Data for three-dimensional system in: chiPDF-3D-L128-f20.dat</p> <p>The datasets have been produced and employed in the context of a scientific work currently published in <a href="https://arxiv.org/abs/2304.10883">arXiv:2304.10883</a>. </p>
Early Irish Glossaries Database: PDF archive
<p>The early Irish glossaries <em>Sanas Cormaic</em> (Cormac’s Glossary), O’Mulconry’s Glossary (<em>De origine scoticae linguae</em>), <em>Dúil Dromma Cetta</em> (the Collection of Druim Cett) and the shorter texts <em>Loman</em> and <em>Irsan</em> are important resources for our understanding of the literary and cultural environment of medieval Ireland. These inter-related texts, compiled from the seventh or eighth century onwards, comprise several thousand headwords followed by commentary that ranges from single-word explanations to extended narratives running to several pages.</p> <p>This collection comprises PDF files for each version of each text, derived from the Early Irish Glossaries Database: <a href="https://www.asnc.cam.ac.uk/irishglossaries">https://www.asnc.cam.ac.uk/irishglossaries</a></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.