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517 results for “October”
SNN-NLN October 2023 Experiment Results
<p>Trial result files for HERA simulation, LOFAR and Tabascal simulation RFI detection experiments.</p><p>These result files are published for complete result transparency and not necessarily re-use.</p>
LPL7 - October 2023
<p>Measurements of LPL7 (Archipielago Chinijo) in October 2023</p> <p>Archipielago Chinijo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL7">info</a></p>
LPL11 - October 2023
<p>Measurements of LPL11 (Frontera Rural Park) in October 2023</p> <p>El Hierro</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a></p>
LPL2 - October 2023
<p>Measurements of LPL2 (Caldera de Taburiente NP) in October 2023</p> <p>La Palma</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Figure 3. Female wing. 30 October, 2008 in First records of the grasshopper Machaerocera mexicana Saussure, 1859 (Orthoptera: Acrididae) from the United States and Sonora, Mexico Robert A. Behrstock 10359 S Thicket Place Hereford, AZ 85615 rbehrstock@cox.net
Figure 3. Female wing. 30 October, 2008. Cienega Creek Natural Preserve, Pima County, Arizona. Photo by Robert A. Behrstock/Naturewide Images.
Solar and meteorological data collected from the Durban station (South Africa) by the ENERGY-lab at the University of La Reunion between August 2013 and October 2018
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Vacoas station (Mauritius) by the ENERGY-Lab at the University of La Reunion between October 2019 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Saint Paul Le Carat station (La Réunion) by the ENERGY-Lab at the University of La Reunion between October 2022 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
UEX1 - October 2021
<p>Measurements of UEX1 (Universidad Extremadura) in October 2021</p> <p>Universidad Extremadura</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/UEX1">info</a></p>
LPL3 - October 2021
<p>Measurements of LPL3 (Costa este de Madeira) in October 2021</p> <p>Madeira</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
LPL2 - October 2021
<p>Measurements of LPL2 (PN Caldera de Taburiente) in October 2021</p> <p>El Paso, La Palma</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL2 - October 2020
<p>Measurements of LPL2 (PN Caldera de Taburiente) in October 2020</p> <p>El Paso, La Palma</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Dataset of first appearances of the scholarly bibliographic references on English Wikipedia articles as of 1 March 2017 and as of 1 October 2021
<p><strong>Abstract</strong></p> <p>We developed a methodology to detect the oldest scholarly reference added to Wikipedia articles by which a certain paper is uniquely identifiable as the "first appearance of the scholarly reference." We identified the first appearances of 923,894 scholarly references (611,119 unique DOIs) in180,795 unique pages on English Wikipedia as of March 1, 2017, and stored them in the dataset. Moreover, we assessed the precision of the dataset, which was and it was a high precision regardless of the research field. In this version, it is available not only the dataset of English Wikipedia as of March 1, 2017, but also English Wikipedia as of October 1, 2021, generated by using the same methodology.</p> <p> </p> <p><strong>Data Records</strong></p> <p>The data format of the dataset is JSON lines, where each line is a single record. In this dataset, we detected the first appearance of each scholarly reference added to Wikipedia articles. If there are multiple references corresponding to the same paper on the same page, only the oldest one is collected. Sample of the record is the following.</p> <ul> <li>doi -- DOI corresponding to the paper (String), e.g., "10.1006/anbe.1996.0497"</li> <li>paper_type -- Document type of the paper (String), e.g., "journal-article"</li> <li>paper_container_title -- Journal title, book title, or proceedings title (Array of String), e.g., ["Animal Behaviour"]</li> <li>paper_publisher -- Publisher name (String), e.g., "Elsevier BV"</li> <li>paper_title -- Paper title (Array of String), e.g., ["Push or pull: an experimental study on imitation in marmosets"]</li> <li>paper_published_year -- Published year (String), e.g., "1997"</li> <li>paper_issue -- Issue number (String), e.g., "4"</li> <li>paper_volume -- Volume number (String), e.g., "54"</li> <li>paper_page -- Page numbers (String), e.g., "817-831"</li> <li>paper_author -- Authors information consisted of given and family names, sequences (order in author names), and affiliations (Array of JSON), e.g., [{"given":"THOMAS", "family":"BUGNYAR", "sequence":"first", "affiliation":[]}, {"given":"LUDWIG", "family":"HUBER", "sequence":"additional", "affiliation":[]}]</li> <li>issn -- ISSN related to the paper (Array of String), e.g., ["0003-3472"]</li> <li>research_field -- Research fields from ESI categories (Array of String), e.g., ["PLANT & ANIMAL SCIENCE"]</li> <li>page_id -- Page id (String), e.g., "577858"</li> <li>page_title -- Page title (String), e.g., "Imitation"</li> <li>revision_id -- Revision id (String), e.g., "203309031"</li> <li>revision_timestamp -- Revision timestamp (String), e.g., "2008-04-04 15:54:09 UTC"</li> <li>revision_comment -- Revision comment (edit summary) (String), e.g., "/* Animal Behaviour */"</li> <li>editor_name -- Wikipedia editor's name (String), e.g., "Nicemr"</li> <li>editor_type -- Type of the editor (String), e.g., "User"</li> </ul> <p><strong>References</strong></p> <ul> <li>Kikkawa, J., Takaku, M. & Yoshikane, F. "Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles", Scientific Data, Vol. 9, Article number 85, pp. 1-11, 2022. <a href="https://doi.org/10.1038/s41597-022-01190-z">https://doi.org/10.1038/s41597-022-01190-z</a>.</li> </ul> <p><strong>FUNDING</strong></p> <ul> <li>JSPS KAKENHI Grant Number <a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K12543">JP20K12543</a></li> <li>JSPS KAKENHI Grant Number <a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K21303">JP21K21303</a></li> </ul>
Web Data Commons (October 2021) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2021-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (October 2021)</a> based on the <a href="https://commoncrawl.org/2021/11/october-2021-crawl-archive-now-available/">Common Crawl October 2021 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 0.2 GiB compressed, 4.4 GiB uncompressed, 20 361 829 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 45 833 332 triples (~0.1 %) of the source dataset (containing 38 812 275 607 triples).</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#longitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#latitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://purl.org/goodrelations/v1#hasCurrencyValue","https://www.w3.org/2001/XMLSchema#float","6" … "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/ratingValue","http://www.w3.org/2001/XMLSchema#integer","96" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/minValue","http://www.w3.org/2001/XMLSchema#integer","164" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/width","http://www.w3.org/2001/XMLSchema#integer","361"</code></pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p> <p><strong>Reproduce</strong></p> <p>To reproduce this dataset checkout the <a href="https://doi.org/10.5281/zenodo.6337650">RDF Property and Datatype Usage Scanner v2.1.0</a> and execute:</p> <pre><code class="language-bash">mvn clean package java -jar target/Scanner.jar --category html-rdfa --list http://webdatacommons.org/structureddata/2021-12/files/html-rdfa.list October2021 java -jar target/Scanner.jar --category html-embedded-jsonld --list http://webdatacommons.org/structureddata/2021-12/files/html-embedded-jsonld.list October2021 ./measure.sh October2021 # Wait until the scan has completed. This will take a few days java -jar target/Scanner.jar --results ./October2021/measurements.csv.gz October2021 </code></pre>
Web Data Commons (October 2016) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2016-10/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (October 2016)</a> based on the <a href="https://commoncrawl.org/2016/11/october-2016-crawl-archive-now-available/">Common Crawl October 2016 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 17.4 MiB compressed, 351.1 MiB uncompressed, 1 612 479 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 28 326 152 triples (~0.69 %) of the source dataset (containing 4 097 655 302 triples).</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://schema.org/aggregateRating","http://www.w3.org/2001/XMLSchema#string","36" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://opengraphprotocol.org/schema/longitude","http://www.w3.org/2001/XMLSchema#string","1137" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://ogp.me/ns#title","http://www.w3.org/2001/XMLSchema#string","3" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://ogp.me/nslongitude","http://www.w3.org/2001/XMLSchema#string","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://ogp.me/ns#latitude","http://www.w3.org/2001/XMLSchema#string","884" […] "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-embedded-jsonld.nq-00294.gz","ValidZeroOrOneNotation","http://schema.org/minPrice","http://www.w3.org/2001/XMLSchema#integer","12" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-embedded-jsonld.nq-00294.gz","ValidZeroOrOneNotation","http://schema.org/highPrice","http://www.w3.org/2001/XMLSchema#integer","1" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-embedded-jsonld.nq-00294.gz","ValidZeroOrOneNotation","http://schema.org/numberOfItems","http://www.w3.org/2001/XMLSchema#integer","44" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-embedded-jsonld.nq-00294.gz","ValidZeroOrOneNotation","http://schema.org/ratingValue","http://www.w3.org/2001/XMLSchema#integer","139" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2016-10/quads/dpef.html-embedded-jsonld.nq-00294.gz","ValidZeroOrOneNotation","http://schema.org/width","http://www.w3.org/2001/XMLSchema#integer","76" </code></pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p> <p><strong>Reproduce</strong></p> <p>To reproduce this dataset checkout the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a> and execute:</p> <pre><code class="language-bash">mvn clean package java -jar target/Scanner.jar --category html-rdfa --list http://webdatacommons.org/structureddata/2016-10/files/rdfa.list October2016 java -jar target/Scanner.jar --category html-embedded-jsonld --list http://webdatacommons.org/structureddata/2016-10/files/html-embedded-jsonld.list October2016 ./measure.sh October2016 # Wait until the scan has completed. This will take a few days java -jar target/Scanner.jar --results ./October2016/measurements.csv.gz October2016 </code></pre>
WRF 3.5km North Atlantic August - October 2020 (TC tracks and atmospheric composites data)
<p>This zip file contains simulated TC tracks and some atmospheric composites for August to October 2020.</p> <p>- TC tracks information: timing, intensity, and location</p> <p>- Composites: vertical wind shear (200 - 850 hPa), potential intensity, 850 hPa absolute vorticity, and 700 hPa specific humidity.</p>
Ocean ambient noise data on the Chukchi Plateau from August 2018 to October 2019
<p>The noise spectrum level under different sea ice conditions, and monthly and hourly ambient noise level on the Chukchi Plateau from August 1st, 2018 to October 31st, 2019.</p>
Рис. 2. Размерная структура G. lacustris в ΛитораΛьной зоне озера АрахΛей: 1 — июнь; 2 — август; 3 — октябрь Fig. 2. G. lacustris population size structure in the Lake Arakhley littoral zone: 1 — June, 2 — August, 3 — October in The life cycle of Gmelinoides fasciatus (Stebbing, 1899) and Gammarus lacustris (Sars, 1863) amphipods in the lake Arakhley littoral during the extreme low-water phase of the hydrological cycle
Рис. 2. Размерная структура G. lacustris в ΛитораΛьной зоне озера АрахΛей: 1 — июнь; 2 — август; 3 — октябрь Fig. 2. G. lacustris population size structure in the Lake Arakhley littoral zone: 1 — June, 2 — August, 3 — October
Рис. 1. Размерная структура Gm. fasciatus в ΛитораΛьной зоне озера АрахΛей: 1 — в июне; 2 — в августе; 3 — в октябре; 4 — в Αекабре 2017 г. и июне 2018 г. Fig. 1. Gm. fasciatus population size structure in the Lake Arakhley littoral zone: 1 — June; 2 — August; 3 — October; 4 — December, 2017 and June, 2018 in The life cycle of Gmelinoides fasciatus (Stebbing, 1899) and Gammarus lacustris (Sars, 1863) amphipods in the lake Arakhley littoral during the extreme low-water phase of the hydrological cycle
Рис. 1. Размерная структура Gm. fasciatus в ΛитораΛьной зоне озера АрахΛей: 1 — в июне; 2 — в августе; 3 — в октябре; 4 — в Αекабре 2017 г. и июне 2018 г. Fig. 1. Gm. fasciatus population size structure in the Lake Arakhley littoral zone: 1 — June; 2 — August; 3 — October; 4 — December, 2017 and June, 2018
ChatGPT's responses to TUG-K 4.0 survey (October 2023)
<p>This dataset was created in October 2023, after the initial public release of ChatGPT vision. It contains 60 completed Test of Understanding Graphs in Kinematics 4.0 (TUG-K 4.0) surveys. The responses are sorted by item number. An analysis of the responses was published in <a href="https://doi.org/10.1103/PhysRevPhysEducRes.20.010109">https://doi.org/10.1103/PhysRevPhysEducRes.20.010109</a></p> <p>v2 of the dataset takes care of some accidentally duplicated responses present in v1. Because the analysis in the above cited paper used data directly out of the chatbot, the updates in no way impact the analysis or findings in the paper.</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.