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22 results for “subject indexing”
Normalized subject indexing data of K10plus library union catalog
<p>This dataset contains <strong>normalized subject indexing data of K10plus library union catalog</strong>. It includes links between bibliographic records in K10plus and concepts (subjects or classes) from controlled vocabularies:</p> <ul> <li>kxp-subjects.tsv.gz: TSV format</li> <li>kxp-subjects.nt.gz: RDF format (in form of NTriples)</li> <li>vocabularies.json: information about vocabularies</li> <li>stats.json: statistics (number of records, subjects per vocabulary etc.)</li> </ul> <p>The dataset is based on a K10plus database dump at 2024-12-02.</p> <p><strong>K10plus</strong></p> <p>K10plus is a union catalog of German libraries, run by library service centers BSZ and VZG since 2019. The catalog contains bibliographic data of the majority of academic libraries in Germany. Bibliographic records in K10plus are uniquely identified by a PPN identifier.</p> <p>Several APIs exist to retrieve more data for a record via its PPN, e.g. link into K10plus OPAC:</p> <p>https://opac.k10plus.de/PPNSET?PPN={PPN}</p> <p>Retrieve full record in MARC/XML format:</p> <p>https://unapi.k10plus.de/?format=marcxml&id=opac-de-627:ppn:{PPN}</p> <p>Get formatted citation for display:</p> <p>https://ws.gbv.de/suggest/csl2?citationstyle=ieee&language=en&database=opac-de-627&query=pica.ppn=${PPN}</p> <p>APIs to look up more data from a notation or identifier of a vocabulary can be found in <a href="https://bartoc.org/">https://bartoc.org/</a>. For instance BK class 58.55 can be retrieved via DANTE API:</p> <p>https://api.dante.gbv.de/data?uri=http%3A%2F%2Furi.gbv.de%2Fterminology%2Fbk%2F58.55</p> <p>See vocabularies.json for mapping of vocabulary symbol to BARTOC URI and additional information.</p> <p><strong>Statistics</strong><br>See stats.json for number of records, links, triples and subjects per vocabulary.</p> <p><strong>TSV</strong></p> <p>The .tsv file contains three tab-separated columns:</p> <ol> <li>Bibliographic record identifier (PPN)</li> <li>Vocabulary symbol</li> <li>Notation or identifier in the vocabulary</li> </ol> <p>An example:</p> <p>010000011 bk 58.55<br>010000011 gnd 4036582-7</p> <p>Record 010000011 is indexed with class 58.55 from Basic Classification and with authority record 4036582-7 from Integrated authority file.</p> <p><strong>RDF</strong></p> <p>The NTriples file contains the same information as given in TSV file but identifiers are mapped to URIs. An example:</p> <p><http://uri.gbv.de/document/opac-de-627:ppn:010000011> <http://purl.org/dc/terms/subject> <http://d-nb.info/gnd/4036582-7> .<br><http://uri.gbv.de/document/opac-de-627:ppn:010000011> <http://purl.org/dc/terms/subject> <http://uri.gbv.de/terminology/bk/58.55> .</p> <p><strong>Changelog</strong></p> <ul> <li>2024-12-11: new dump based on K10plus title records extracted by a slightly different workflow.</li> <li>2024-04-05: new dump from end of February 2024. Total number of records decreased by merging of duplicates.</li> <li>2024-01-11: New dump from end of 2023. Added fivs and fivr classification</li> <li>2023-11-01: New dump from end of September.</li> <li>2023-05-07: New dump. Number of records slightly reduced because K10plus cleaned up duplicate records.</li> <li>2023-04-13: New dump, added stats.json</li> <li>2023-01-20: New dump</li> <li>2022-09-11: New dump, fixed PPN URIs and broken UTF-8 encoding</li> <li>2022-08-24: Fixed GND URIs, added LCC and KAB (<a href="https://doi.org/10.5281/zenodo.7018350">https://doi.org/10.5281/zenodo.7018350</a>)</li> <li>2022-08-24: First version (<a href="https://doi.org/10.5281/zenodo.7016626">https://doi.org/10.5281/zenodo.7016626</a>)</li> </ul> <p><strong>License and provenance</strong></p> <p>All data is public domain but references are welcome. See <a href="https://coli-conc.gbv.de/">https://coli-conc.gbv.de/</a> for related projects and documentation.</p> <p>This dataset has been created with public scripts from git repository <a href="https://github.com/gbv/k10plus-subjects">https://github.com/gbv/k10plus-subjects</a>.</p>
Study of the Effect of Ivacaftor on Lung Clearance Index in Subjects With Cystic Fibrosis and the G551D Mutation
ClinicalTrials.gov study NCT01262352. IPD Sharing: Not stated. Countries: 3. Publications: 1.
Specialization indexes of countries for 254 subject categories, by input and by output
<p>This is a Supplementary Material of the manuscript "<strong>Measuring and interpreting the differences of the nations’ scientific specialization indexes by output and by input</strong>". The file contains complete data on 199 countries in 254 subject categories.</p>
Local Gyrification Index computed with FreeSurfer 6 for all ABIDE I subjects
<p># ABIDE I FreeSurfer 6 'local gyrification index' (lGI) data</p> <p>DOI of this dataset: 10.5281/zenodo.7132610</p> <p>This directory 'abide_freesurfer6_lgi' contains the ABIDE I FreeSurfer 6 'local gyrification index' (lGI) data and meshes.</p> <p><br> ## Credits</p> <p>This data is derived from the MRI scans of the ABIDE I dataset:</p> <p>* ABIDE I dataset: https://fcon_1000.projects.nitrc.org/indi/abide/</p> <p>Quoting from that website:</p> <p> "The Autism Brain Imaging Data Exchange I (ABIDE I) represents the first<br> ABIDE initiative. Started as a grass roots effort, ABIDE I involved 17<br> international sites, sharing previously collected resting state functional<br> magnetic resonance imaging (R-fMRI), anatomical and phenotypic datasets<br> made available for data sharing with the broader scientific community.<br> This effort yielded 1112 dataset, including 539 from individuals with<br> ASD and 573 from typical controls (ages 7-64 years, median 14.7 years<br> across groups). This aggregate was released in August 2012. Its<br> establishment demonstrated the feasibility of aggregating resting<br> state fMRI and structural MRI data across sites; the rate of these<br> data use and resulting publications (see Manuscripts) have shown its<br> utility for capturing whole brain and regional properties of the brain<br> connectome in Autism Spectrum Disorder (ASD). In accordance with<br> HIPAA guidelines and 1000 Functional Connectomes Project / INDI<br> protocols, all datasets have been anonymized, with no protected<br> health information included."</p> <p>Citation: Di Martino, A., Yan, C. G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., ... & Milham, M. P. (2014).<br> The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular psychiatry, 19(6), 659-667.</p> <p>## How this data was produced</p> <p>The following steps were used to create the data:</p> <p>* We downloaded all available MRI scans for the ABIDE I subjects (1035 subjects).<br> * We pre-processed all subjects in FreeSurfer version 6 (https://freesurfer.net) by running the full recon-all pipeline for each subject.<br> - We did not run any quality metrics on the scans or exclude any subjects.<br> * We computed pial-lgi (Schaer et al. 2008, https://doi.org/10.1109/TMI.2007.903576) as implemented in FreeSurfer 6 for all subjects.<br> - For some of the subjects, MRI data was not available or lgi could not be computed due to very bad quality of the (or a completely failed) surface reconstruction. These subjects are listed in the file 'subjects_lgi_computation_failed.txt' (14 of 1035 subjects).<br> - All subjects for which lgi computation succeeded for both hemispheres are listed in the file 'subjects.txt' (1021 of 1035 subjects).</p> <p><br> ## Contained files</p> <p>* In order to reduce the size of this dataset, for each subject, we only included the following files:<br> - <subject>/surf/lh.pial : the pial surface mesh for the left hemisphere, in FreeSurfer surf format.<br> - <subject>/surf/rh.pial : the pial surface mesh for the right hemisphere, in FreeSurfer surf format.<br> - <subject>/surf/lh.pial_lgi : the per-vertex lgi values for the left hemisphere, in FreeSurfer curv format.<br> - <subject>/surf/rh.pial_lgi : the per-vertex lgi values for the right hemisphere, in FreeSurfer curv format.</p> <p>See the section 'How this data was produced' for information on the files 'subjects.txt' and 'subjects_lgi_computation_failed.txt'.</p> <p>## What is NOT contained</p> <p>* The ABIDE demographics information (metadata on the subjects, like age, ...) is not included, you can get it from the ABIDE website.<br> * The lgi values are only contained in native space. Standard space data is available as a separate download on Zenodo.</p> <p>## Author and License</p> <p>Note: For the authors of the original ABIDE I dataset, see the Credits section above.</p> <p>This lgi data was created by:</p> <p> Dr. Tim Schäfer<br> Postdoc Computational Neuroimaging<br> Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy<br> University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany<br> http://rcmd.org/ts</p> <p>The data is published under the following license:</p> <p>Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)</p> <p>See https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode.txt or the file LICENSE for the full legal code.</p> <p>See https://creativecommons.org/licenses/by-nc-sa/3.0/ for an easy explanation of what this license means for you.</p> <p> </p>
Subject indexing data of K10plus library union catalog
<p>This dataset contains a an extract of <strong>K10plus library union catalog</strong> with its <strong>subject indexing data</strong>:</p> <ul> <li><code>kxp-subjects_2022-09-30_??of10.dat</code> : the full data (68.051.434 records) split in files of up to 5.000.000 records each</li> </ul> <p><strong>K10plus</strong> is a union catalog of German libraries, run by library service centers BSZ and VZG since 2019. The catalog contains bibliographic data of the majority of academic libraries in Germany. The core data of K10plus is made available as OpenData via APIs and in form of database dumps. More information can be found here:</p> <ul> <li><a href="https://www.bszgbv.de/services/k10plus/">K10plus homepage</a> (in German)</li> <li><a href="https://wiki.k10plus.de/display/K10PLUS/Open+Data">K10plus Open Data page</a> (in German)</li> <li><a href="https://opac.k10plus.de/">Traditional search interface (OPAC)</a></li> </ul> <p><strong>Data format</strong></p> <p>The data is provided in its raw internal format called <strong>PICA+</strong> to not loose information during conversion. In particular the data is given in <strong>PICA Normalized Format</strong> with one record per line. Each record consists of a list of <strong>fields</strong> and each field consists of a list of <strong>subfields</strong>.</p> <p>The data can best be processed with command line tools <a href="https://github.com/deutsche-nationalbibliothek/pica-rs#pica-rs">pica-rs</a> or <a href="https://metacpan.org/dist/PICA-Data/view/script/picadata">picadata</a>.</p> <p>A detailled description of PICA format and its processing is given in the German textbook <a href="https://pro4bib.github.io/pica/">Einführung in die Verarbeitung von PICA-Daten</a>.</p> <p>For visual inspection PICA Normalized Format is best converted into <strong>PICA Plain Format</strong> (pica-rs command <code>pica print</code>). The following example record contains seven fields:</p> <pre><code>003@ $0010003231 013D $9104450460$VTsvz$3209786884$7gnd/4151278-9$aEinführung 044K $9106080474$VTsv1$7gnd/4077343-7$3209204761$aSekte 044N $aReligionsgemeinschaft 045E $a12 045F $a291 045Q/01 $9181570408$VTkv$a11.97$jNeue religiöse Bewegungen$jSekten 045R $91270641751$VTkv$7rvk/11410:$3200641751$aBG 9600$jAllgemeines$NB$JTheologie und Religionswissenschaften$NBG$JFundamentaltheologie$NBG 9020-BG 9790$JKirche und Kirchen$NBG 9600-BG 9720$JFreikirchen und Sekten 045V $a1</code></pre> <p>Each K10plus record is uniquely identified by its record identifier PPN, given in field <code>003@</code> subfield <code>$0</code>. The PPN can be used:</p> <ul> <li>to link into K10plus catalog, e.g. <a href="https://opac.k10plus.de/DB=2.299/PPNSET?PPN=010003231">https://opac.k10plus.de/DB=2.299/PPNSET?PPN=010003231</a></li> <li>to retrieve the record in other formats via API, e.g. <a href="https://unapi.k10plus.de/?id=opac-de-627:ppn:010003231&format=marcxml">https://unapi.k10plus.de/?id=opac-de-627:ppn:010003231&format=marcxml</a> (MARC/XML format) and <a href="https://ws.gbv.de/suggest/csl/?query=pica.ppn=010003231&citationstyle=ieee&language=de">https://ws.gbv.de/suggest/csl/?query=pica.ppn=010003231&citationstyle=ieee&language=de</a> (Citation Format)</li> </ul> <p><strong>Scope of the data</strong></p> <p>The data is limited to records having a least one holding by a library participating in K10plus. Records are provided with “offline expansion” (some subfield have been added automatically to facilitate re-use of the data) and limited to the following fields:</p> <ul> <li><code>003@</code> with internal record identifier “PPN” in subfield <code>$0</code></li> <li><code>010@</code> language<code> </code></li> <li><code>013D</code> type of content</li> <li><code>013E</code> musical type of document</li> <li><code>013F</code> target audience</li> <li><code>013H</code> additional type of document</li> <li><code>041A</code> keywords</li> <li><code>044.</code> all subject indexing fields starting with <code>044</code></li> <li><code>045.</code> all subject indexing fields starting with <code>045</code></li> <li><code>144Z</code> local library keywords</li> <li><code>145S</code> local library classification</li> <li><code>145Z</code> local library classification</li> </ul> <p>The following fields may also be of interest but are not included:</p> <ul> <li><code>017G</code> and <code>017H</code>URL for catalog enrichment (e.g. table of contents)</li> <li><code>047I</code> abstract</li> </ul> <p>Documentation of the fields can be found at <a href="https://format.k10plus.de/k10plushelp.pl?cmd=pplist&katalog=Standard#titel">https://format.k10plus.de/k10plushelp.pl?cmd=pplist&katalog=Standard#titel</a></p> <p><strong>Processing examples</strong></p> <p>Extract CSV file of PPN and RVK-Notation:</p> <pre><code>pica filter '045R?' kxp-subjects_2022-06-30.dat | pica select '003@$0,045Ra'</code></pre> <p>Get a list of PPN of records having RVK but not BK:</p> <pre><code>pica filter '045R? & !045Q/01' kxp-subjects_2022-06-30.dat | pica select '003@$0'</code></pre> <p>See <a href="https://github.com/gbv/k10plus-subjects#readme">https://github.com/gbv/k10plus-subjects#readme</a> for additional examples of data analysis.</p> <p><strong>Automatic download</strong></p> <p>Given the Zenodo Record ID (e.g. 6810556), a list of all files can be generated with curl and jq:</p> <pre><code>curl -sL https://zenodo.org/api/records/$ID | jq -r '.files|map([.key,.links.self]|@tsv)[]'</code></pre> <p><strong>Changes</strong></p> <ul> <li>2022-09-30: update with additional fields 010@, 013E, 013H, 014A (68.051.434 records)</li> <li>2022-06-30: update with additional fields 013D and 013F (47.686.064 records)</li> <li>2021-06-30: first published dump (41.786.820 records)</li> </ul> <p><strong>License</strong></p> <p><a href="https://creativecommons.org/publicdomain/zero/1.0/">https://creativecommons.org/publicdomain/zero/1.0/</a></p>
Acute Studies on the Glycemic Index After Intake of Different Sorts of Barley in Subjects With Type 2 Diabetes
ClinicalTrials.gov study NCT04646746. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Six Minute Walking Test Based Index as an Outcome Predictor in COPD Subjects. (Chronic Obstructive Pulmonary Disease)
ClinicalTrials.gov study NCT03799263. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Relationship of Glycemic Index Values and Subjects' Body Composition Parameters
ClinicalTrials.gov study NCT02148224. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Assessment of Glycemic Index for Dried Saskatoon Berries and Powder in Healthy Subjects
ClinicalTrials.gov study NCT06928688. IPD Sharing: NO. Countries: 1. Publications: 2.
A Mild Supplementation of Arabinoxylan Fiber Improves Homa Index in Overweight and Obese Subjects.
ClinicalTrials.gov study NCT02847351. IPD Sharing: NO. Countries: 1. Publications: 1.
Glycemic Index in Subjects With Diabetes Mellitus Insulin Requesting
ClinicalTrials.gov study NCT02881164. IPD Sharing: NO. Countries: 0. Publications: 1.
Effect of Coffee Consumption on the Glycemic Index of Khalas Dates Tested in Healthy and Diabetic Subjects
ClinicalTrials.gov study NCT01422668. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Glycemic Index of Cacao Fruit Pulp in Healthy, Human Subjects
ClinicalTrials.gov study NCT06294938. IPD Sharing: NO. Countries: 1. Publications: 0.
Study to Assess the Inhibition of Plaque Formation in Subjects With a Gingival Index ≤1.5
ClinicalTrials.gov study NCT03378401. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Efficacy and Safety Study of Ultrasound Bone Strength Device to Measure Calcaneal Bone Strength Index of Human Subjects
ClinicalTrials.gov study NCT02971527. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Metabolic Effects of a Caloric Restriction High/Low Glycemic Index Diet Plus Metformin in Overweight/Obese Subjects
ClinicalTrials.gov study NCT01460797. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of a Dietary Supplement on Lipid Pattern, Indexes of NAFLD and Systemic Inflammation in Healthy Subjects With Suboptimal LDL-C Levels
ClinicalTrials.gov study NCT06403748. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Oxymetazoline Hydrochloride in Combination With Fluticasone Propionate on the Apnea Hypopnea Index (AHI) in Subject With Persistent Nasal Congestion and Mild Obstructive Sleep Apnea
ClinicalTrials.gov study NCT02630121. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study to Assess the Inhibition of Plaque Formation in Subjects With a Gingival Index ≤1.5
ClinicalTrials.gov study NCT03322124. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effects of Sex, Body Mass Index, Day-to-Day Subject Variability for the ProLung Test and Variability of a Single Device When Volume-Averaged Thoracic Bioconductance is Measured With the ProLung Te
ClinicalTrials.gov study NCT03993028. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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