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73 results for “Data Catalog”
Supplemental data for: Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities
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Data from: A new species of Illacme Cook & Loomis, 1928 from Sequoia National Park, California, with a world catalog of the Siphonorhinidae (Diplopoda, Siphonophorida)
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Dump of metadata from the Czech National Open Data Catalog, 2020-04-20, State Administration of Land Surveying and Cadastre datasets removed
<p>Dump of metadata using DCAT-AP from the Czech National Open Data Catalog, 2020-04-20, in RDF TriG.<br> Used in the paper "Modular Framework for Similarity-based Dataset Discovery using External Knowledge"<br> State Administration of Land Surveying and Cadastre datasets were removed from the dump for practical reasons.</p>
The EWAS Catalog manuscript: Extended data
<p>Epigenome-wide association studies (EWAS) of 387 traits were conducted within the Accessible Resource for Integrated Epigenomic Studies (ARIES). These results were uploaded to The EWAS Catalog: http://www.ewascatalog.org/. The table presented here represents the extended data in The EWAS Catalog manuscript. </p>
The EWAS Catalog manuscript: Underlying data
<p>Epigenome-wide association studies (EWAS) of 40 traits were conducted using publically available data from the Gene Expression Omnibus (GEO) online repository. These results were uploaded to The EWAS Catalog: http://www.ewascatalog.org/. The table presented here represents the underlying data in The EWAS Catalog manuscript and contains the traits along with the corresponding GEO accession numbers and PubMed IDs.</p>
Prokaryotic gene catalog, prokaryotic Metagenome-Assembled Genomes (MAGs) and taxonomic profiling of metagenomic data of NEREA Augmented Observatory
<p>The NEREA_metaG directory is dedicated to the in-depth analysis of NEREA microbial communities using metagenomic sequencing data. </p> <p><strong>Gene catalog:</strong> This directory contains the gene catalog compiled from metagenomic data, which includes: Protein and nucleotide sequence files for genes; Cluster files grouping similar genes; Annotation files mapping genes to KEGG pathways; Normalized gene abundance profiles.</p> <div><strong>MAGs:</strong> Directory for Metagenome-Assembled Genomes (MAGs). It contains comprehensive annotation files for the MAGs, providing insights into gene functions, metabolic pathways, and other genomic features. It also contains the individual MAGs categorized by sample origin. Each MAG is stored in a compressed FASTA format.</div> <p><strong>mOTUs</strong>: Contains files related to microbial taxonomic units identified and quantified using the mOTUs profiler. </p>
ARC³N: A Collaborative Uncertainty Catalog to Address the Awareness Problem of Model-Based Confidentiality Analysis - Data Set
<p>Data set of the Paper "ARC³N: A Collaborative Uncertainty Catalog to Address the Awareness Problem of Model-Based Confidentiality Analysis". For more information, please see the README.md. For even more information please visit https://abunai.dev</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>
Continuous waveform data and the catalog of local seismic events in Sichuan
<p>Continuous waveform data and the catalog of local seismic events in Sichuan</p>
Data from: Catalog of non-seismic short duration events offshore cascadia
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Data required to determine a catalog of radiation belt enhancement events
<p>These are the data that accompany a paper titled "Defining Radiation Belt Enhancement Events Based on Probability Distributions" by the same authors listed here. The paper will be submitted to the journal Space Weather.</p> <p>The data consist of text data files of radiation belt electron data. Each file includes a description of the contents on lines beginning with the character, #. The files are:</p> <p>LANL-GEO 1.8-3.5 MeV Data.txt which contains daily and satellite-averaged 1.8-3.5 MeV electron data from the LANL-GEO instruments. The data span 1989 through 2018.</p> <p>GOES 2 MeV Data.txt which contains daily values of maximum >2 MeV electron fluxes from the NOAA goes satellites in the same format as the file LANL-GEO 1.8-3.5 MeV Data.txt</p> <p>LANL-GEO Event Distribution.txt and GOES Event Distribution.text which contain the number of radiation belt electron events that are identified using a variable threshold flux value to define the events. </p> <p>LANL-GEO Event-Day Distribution.txt and GOES Event-Day Distribution.text which contain the number of days when radiation belt electron fluxes exceed a given threshold flux value.</p> <p>Catalog of Events.pdf which is a catalog of moderate, strong, and intense radiation belt enhancement events for the 1989 through 2018. </p> <ul> <li>Moderate Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux > 5.37 (cm2-s-sr-keV)<sup>-1</sup></li> <li>Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux > 17.8 (cm2-s-sr-keV)<sup>-1</sup></li> <li>Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux ≳ 46.7 (cm2-s-sr-keV)<sup>-1</sup></li> </ul> <p>These data files can be used reproduce our analysis or, more importantly, they can be used for additional studies of the causes and consequences of radiation belt enhancement events.</p>
Data for: Insect host plant relationships from Luis Martorell's annotated food plant catalog of the insects of Puerto Rico
<p>This dataset contains insect host plant relationships for insects and plants found in Puerto Rico as described in Luis F. Martorell's book, 'Annotated food plant catalog of the insects of Puerto Rico' (1976, University of Puerto Rico Agricultural Experiment Station, Río Piedras, Puerto Rico. 303 pp.). </p>
Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog - Full Posterior Sample Data Release
<p>Data release containing full posterior samples of the following analyses reported in the paper "Tests of General Relativity with Binary Black Holes from the second LIGO–Virgo Gravitational-Wave Transient Catalog" from the LIGO Scientific Collaboration and Virgo Collaboration (<a href="https://doi.org/10.1103/PhysRevD.103.122002">Phys. Rev. D 103, 122002</a>, also available at <a href="https://arxiv.org/abs/2010.14529">arxiv.org:2010.14529</a> and <a href="https://dcc.ligo.org/LIGO-P2000091/public">https://dcc.ligo.org/LIGO-P2000091/public</a>):</p> <ul> <li>Echoes (Sec VII B): ech.zip</li> <li>Inspiral-merger-ringdown consistency test (Sec IV B): imr.zip</li> <li>Lorentz invariance violation test (Sec V I): liv.zip</li> <li>Parametrized tests of general relativity (Sec V A): par.zip</li> <li>Ringdown test (Sec VII A): rin.zip</li> <li>Spin-induced quadrupole moment test (Sec V B): sim.zip</li> </ul> <p>Each zip file contains HDF5 files that can either be read directly with standard HDF5 tools, or using PESummary (<a href="https://docs.ligo.org/lscsoft/pesummary/">https://docs.ligo.org/lscsoft/pesummary/</a>)</p> <p> </p>
Data for: Insect host plant relationships from Luis Martorell's annotated food plant catalog of the insects of Puerto Rico
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Data Catalog for: Flux-induced topological superconductivity in full-shell nanowires
<p>Data Catalog for: Flux-induced topological superconductivity in full-shell nanowires</p>
Rotifer World Catalog: Type data & habitat info
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The data for a catalog of newly discovered close binary open clusters in the Milky Way from Gaia DR3
<p>The database for a catalog of newly discovered close binary open clusters in the Milky Way from Gaia DR3.</p> <p>It corresponds to the study of Zhongmu Li, Zhanpeng Zhu in 2024, which was submitted to AJ. When one use these data, please cite to that work. </p> <p>The database contains four parts, i.e., a parameter file and four directories. They are explained as follows.</p> <p>The file of ''data_tableI.csv'' gives the spatial positions and parallaxs of 13 newly discovered close binary open clusters (CBOCs).</p> <p>There are 11 columns in this file. The colums are for Name1, RA1, DEC1, Parallax1, Rtidal1, Name2, RA2, DEC2, Parallax2, Rtidal2 respectively. </p> <p>They correspond to the contents of a manuscript that was submitted to AJ.</p> <p>The file of ''data_tableII.csv'' contains the data of the fundamental parameters of 13 newly discovered CBOCs, together with their astrometric information. PBOC means primordial binary open cluster member. Distance modulus, color excess, age, and metal abundance of the clusters were obtained by fitting Parsec isochrones and Powerful CMD code. Proper motion data for the clusters were provided by HR23.</p> <p>Columns 3-14 show the basic parameters (distance modulus, color excess, age, and metal abundance) and errors of the cluster. Columns 15-16 are the proper motion data for the clusters. Column 17 is the number of member stars of the cluster.</p> <p>The file of ''data_tableIII.csv'' contains the data of Parameters for checking gravitationally bound and unbound cluster pairs. The subscripts 1 and 2 indicate the first and second sub-clusters respectively. Rroche is the Roche radius. RV 1, RV 2 and ΔRV denote the radial velocities of two member clusters and their difference. Porb and Vorb denote orbital period and orbital velocity.</p> <p>There are 13 columns in this file. The colums are for Name1, Name2, d12, r1, r2, Rroche, Mass1, Mass2, Porb, RV1, RV2, ΔRV, Vorb respectively. </p> <p>The file of ''memeber_allp.txt'' gives the list of member stars of 13 pairs of clusters. Data provided by HR23.</p> <p>If you have any problems with using these data, send an email to zhongmuli@126.com.</p>
CODATA Catalog of Roads Data Sets, Version 1
The CODATA Catalog of Roads Data Sets, Version 1 contains 367 entries describing national-level road network data sets for 147 countries and four entries describing global data sets. It was produced by the Columbia University Center for International Earth Science Information Network (CIESIN) under the oversight of the CODATA Global Roads Data Development Working Group, and as a contribution to the development of the Global Roads Open Access Data Set (gROADS).
COCD: Catalog of Open Cluster Data First Extension
This table contains a list of 130 Galactic open clusters, found in the All-Sky Compiled Catalogue of 2.5 Million Stars (ASCC-2.5) and not included in the original Catalog of Open Cluster Data (COCD): it is known as the 1st Extension of the COCD (COCD-1). For these new clusters, the authors determined a homogeneous set of astrophysical parameters such as size, membership, motion, distance and age. In their previous work (the Browse table COCD based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/438/1163">CDS Cat. J/A+A/438/1163</a>), 520 already-known open clusters out of a sample of 1700 clusters from the literature were confirmed in the ASCC-2.5 using independent, objective methods. Using these same methods, the whole sky was systematically screened for new clusters. The newly detected clusters show the same distribution over the sky as the known ones. It is found that without the a priori knowledge about existing clusters the authors' search lead to clusters which are, on average, brighter, have more members and cover larger angular radii than the 520 previously-known ones. On the basis of data on about 6,200 possible members (including about 2,200 most probable ones) and homogeneous methods of cluster parameter determination, the angular sizes of cluster cores and coronae, cluster heliocentric distances, colour-excesses, mean proper motions, and ages of 130 clusters and mean radial velocities of 69 clusters were established and collected in the COCD-1. Clusters in the catalogue are numbered in order of increasing J2000.0 Right Ascension. The 1st Extension of the Open Cluster Diagrams Atlas (OCDA-1) presents a set of open cluster diagrams used for the determination of parameters of the 130 newly discovered open clusters, and is intended to illustrate the quality of the constructed cluster membership, and the accuracy of the derived cluster parameters. Every diagram presents relations between various stellar data from the all sky catalog ASCC-2.5(Kharchenko, 2001, CDS Cat. <I/280>) in the area of the specific cluster. There are five diagrams provided for every cluster in the Atlas: the area map, the density profile, the vector point diagram, the "magnitude equation" (proper motion in each coordinate versus V magnitude) diagram, and the color-magnitude diagram. The 130 OCDA-1 PostScript plots (one file per cluster) are available as a remote data product for all of the entries in this table. This table was created by the HEASARC in May 2011 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/440/403/">CDS Catalog J/A+A/440/403/</a> files cluster.dat and notes.dat. This is a service provided by NASA HEASARC .
eHOPS Aquila SED Data Catalog
The Extension of HOPS Out to 500 ParSecs (eHOPS) project used archival data to survey all the major star forming molecular clouds within 500 pc of the Sun, except Orion (which was surveyed by HOPS). The first eHOPS data release covers the Aquila molecular clouds (d ~ 436 pc). For every source detected in the Herschel/PACS bands, the eHOPS-Aquila catalog contains 1-850 micron SEDs assembled from 2MASS, Spitzer, Herschel, WISE, and JCMT/SCUBA-2 data. A total of 172 protostars are found in Aquila, tightly concentrated in the molecular filaments that thread the clouds. Of these, 72 (42%) are Class 0 protostars, 53 (31%) Class I protostars, 43 (25%) are flat-spectrum protostars, and 4 (2%) are Class II sources. Ten of the Class 0 protostars are young PACS Bright Red Sources similar to those discovered in Orion. eHOPS compares the SEDs to a grid of radiative transfer models to constrain the luminosities, envelope densities, and envelope masses of the protostars.
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.