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6
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ShareScore release 0.9.0
Dataset results
6 results for “Textual Graph”
EB_HQ: Knowledge Graph of the First Eight Editions of the Encyclopaedia Britannica (1768-1860) Following the Heritage Textual Ontology
<p>This EB_HQ Knowledge Graph, represents information from the first eight editions of the <em>Encyclopaedia Britannica</em> (1768-1860), structured according to the <a href="https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fw3id.org%2Fhto&data=05%7C02%7C%7C9596c1d96d154755723e08dce92a686d%7C2e9f06b016694589878910a06934dc61%7C0%7C0%7C638641615571225885%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=vr0NRZPBmtKGFCs2gliaBKJ6K%2FCCrwEEv%2FlrWfNLRpU%3D&reserved=0">Heritage Textual Ontology </a>(HTO). This version enhances the information from the previously developed <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fzenodo.org%2Frecords%2F6673897&data=05%7C02%7C%7C9596c1d96d154755723e08dce92a686d%7C2e9f06b016694589878910a06934dc61%7C0%7C0%7C638641615571238085%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=HHP1VKXayraELBzHQEhpya01JM1vGV6YY7Zrgz8rhkg%3D&reserved=0">EB-KG</a> by unifying data across various sources (such as <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdata.nls.uk%2Fdata%2Fdigitised-collections%2Fencyclopaedia-britannica%2F&data=05%7C02%7C%7C9596c1d96d154755723e08dce92a686d%7C2e9f06b016694589878910a06934dc61%7C0%7C0%7C638641615571251754%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=4pRrz54ZNf4gPOH20g4apwPxbl3LHknXpbUyGssV7R0%3D&reserved=0">National Library of Scotland</a>, or <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftu-plogan.github.io%2Fsource%2Fr_7th_edition.html&data=05%7C02%7C%7C9596c1d96d154755723e08dce92a686d%7C2e9f06b016694589878910a06934dc61%7C0%7C0%7C638641615571265383%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=aoDV%2BSnXJ%2B3yzI7rsP%2BCdhAXERsu8WVUSA2xtbw6vHE%3D&reserved=0"> Nineteenth-Century Knowledge Project</a> ), editions, allowing for more comprehensive tracking of the evolution of concepts over time. For each edition, the highest-quality text source is selected to ensure optimal content. It integrates advanced information extraction methods, deep-learning-based knowledge enrichment, facilitating richer analyses. </p> <p>The EB_HQ captures 3316459 RDF triples, providing structured metadata and descriptions for each edition, volume, and term. It unifies information across various editions, allowing seamless tracking of the evolution of concepts over time. Data enrichment includes semantic linkages to external knowledge bases like DBpedia and Wikidata, facilitating broader analysis and connectivity to contemporary information.</p> <p>This dataset supports historical research, offering rich semantic data for researchers exploring the evolution of knowledge and concepts in the <em>Encyclopaedia Britannica</em>. It features terms categorized as <em>Articles</em> or <em>Topics</em>, each with detailed metadata extracted from METS and ALTO XML files. </p>
EB_Composite: Knowledge Graph of the First Eight Editions of the Encyclopaedia Britannica (1768-1860) Following the Heritage Textual Ontology
<p>The EB_Composite Knowledge Graph represents information from the first eight editions of the <em>Encyclopaedia Britannica</em> (1768–1860), structured using the <a href="https://w3id.org/hto"><em>Heritage Textual Ontology</em></a> (HTO). It extends our previously developed <a href="https://zenodo.org/records/13919115">EB_HQ</a> by incorporating multiple text sources, such as the <a href="https://data.nls.uk/data/digitised-collections/encyclopaedia-britannica/">National Library of Scotland</a> and the <a href="https://tu-plogan.github.io/source/r_7th_edition.html">Nineteenth-Century Knowledge Project</a>, for each edition. A particular source is added, comprising of post-corrected textual content generated using deep-learning-based OCR error correction methods. These sources presents different levels of text quality, and EB_Composite enables researchers to compare these texts, and track how they are digitised or extracted from these sources.</p> <p>The EB_Composite captures 4150776 RDF triples. Same as EB_HQ, it provides structured metadata and descriptions for each edition, volume, and term. By integrating information across different editions, it enables smooth tracking of concept evolution over time. Additionally, the dataset features semantic connections to external knowledge bases such as DBpedia and Wikidata, enhancing links to modern information and supporting more comprehensive analyses.</p> <p>Designed to support historical research, this dataset offers rich semantic data for exploring the development of knowledge and concepts in the <em>Encyclopaedia Britannica</em>. It categorizes terms as either <em>Articles</em> or <em>Topics</em>, each with detailed metadata extracted from METS and ALTO XML files. OCR errors common in historical texts have been mitigated using deep-learning-based corrections.</p>
A Novel Curated Scholarly Graph Connecting Textual and Data Publications
<p>This dataset contains an open and curated scholarly graph we built as a training and test set for data discovery, data connection, author disambiguation, and link prediction tasks. This graph represents the European Marine Science community included in the OpenAIRE Graph. The nodes of the graph we release represent publications, datasets, software, and authors respectively; edges interconnecting research products always have the publication as source, and the dataset/software as target. In addition, edges are labeled with semantics that outline whether the publication is <em>referencing, citing, documenting</em>, or <em>supplementing</em> the related outcome. To curate and enrich nodes metadata and edges semantics, we relied on the information extracted from the PDF of the publications and the datasets/software webpages respectively. We curated the authors so to remove duplicated nodes representing the same person. </p> <p>The resource we release counts 4,047 publications, 5,488 datasets, 22 software, 21,561 authors, and 9,692 edges connect publications to datasets/software. This graph is in the <em>curated_MES</em> folder. We provide this resource as:</p> <ol> <li>a property graph: we provide the dump that can be imported in neo4j</li> <li>5 jsonl files containing publications, datasets, software, authors, and relationships respectively. Each line of a jsonl file contains a JSON object representing a node and contains the metadata of that node (or a relationship).</li> </ol> <p>We provide two additional scholarly graphs:</p> <ul> <li>The curated MES graph with the removed edges. During the curation we removed some edges since they were labeled with an inconsistent or imprecise semantics. This graph includes the same nodes and edges as the previous one, and, in addition, it contains the edges removed during the curation pipeline; these edges are marked as <em>Removed</em>. This graph is in the <em>curated_MES_with_removed_semantics</em> folder.<br> </li> <li>The original MES community of OpenAIRE. It represents the MES community extracted from the OpenAIRE Research Graph. This graph has not been curated, and the metadata and semantics are those of the OpenAIRE Research Graph. This graph is in the <em>original_MES_community</em> folder.</li> </ul> <p> </p> <p> </p>
Gazetteer_HTO: A Knowledge Graph for representing the Gazetteers of Scotland (1803-1901) following Heritage Textual Ontology
<p>This Knowlege Graph represents the information of the "Gazeteers of Scotland<strong>"</strong> (years: 1803 - 1901) collection in RDF (ttl format). This collection comprises twenty volumes of the most popular descriptive gazetteers of Scotland in the 19th century. Principal places in Scotland, including towns, counties, castles, glens, antiquities and parishes, are listed alphabetically. Each entry includes detailed historical and geographical information about each place. The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/gazetteers-of-scotland/">link</a>. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page.</p> <p>In this work, we have extracted the information from METS and ALTO XMLS using <a href="https://github.com/francesNLP/defoe">defoe</a> tool. The KG uses the <a href="https://w3id.org/hto">HTO</a> to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</p>
Chapbooks_HTO: A Knowledge Graph for representing the "Chapbooks Printed In Scotland" (1671 - 1893) following the Heritage Textual Ontology
<p>This Knowlege Graph represents the information of the "<strong>Chapbooks Printed In Scotland"</strong> (years: 1671 - 1893) collection in RDF (ttl format). This dataset comprises more than 3,000 chapbooks printed in Scotland from the 17th to 19th century. They form part of the Lauriston Castle Collection, which was bequeathed to the Library in 1926. It includes some 500 chapbook volumes containing around 5,500 individual items, more than half of which were printed in Scotland. The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/chapbooks-printed-in-scotland/">link</a>. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page.</p> <p> The KG uses the <a href="https://w3id.org/hto">HTO</a> to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</p>
LadiesDebating_HTO: A Knowledge Graph for representing the "Edinburgh Ladies' Debating Society Digital Collection" (1865 - 1880) following Heritage Textual Ontology
<p>This Knowlege Graph represents the information of the "Edinburgh Ladies’ Debating Society<strong>"</strong> (years: 1865 - 1880) collection in RDF (ttl format). This collection consists of the complete runs of two Edinburgh journals, <strong>‘The Attempt’ (10 volumes, 1865-74)</strong> and its successor ‘<strong>The Ladies’ Edinburgh Magazine’ (6 volumes, 1875-80)</strong>. These publications were produced by a leading Edinburgh women’s club, known during the period as the Edinburgh Essay Society or the Ladies’ Edinburgh Essay Society, but subsequently as the Ladies’ Edinburgh Debating Society. The Society existed from 1865 to 1935. The raw dataset is provided by the NLS in this <a href="https://data.nls.uk/data/digitised-collections/edinburgh-ladies-debating-society/">link</a>. As other NLS data collections, they are originally provided using two XMLs schemas: METS for descriptive, structural, technical and administrative metadata (Title, Author, Publisher, etc); and ALTO for encoding the OCR text of a page.</p> <p>In this work, we have extracted the information from METS and ALTO XMLS using <a href="https://github.com/francesNLP/defoe">defoe</a> tool. The KG uses the <a href="https://w3id.org/hto">HTO</a> to represent the information extracted. Furthermore, during the information extraction phase, we have employed several techniques to mitigate two common OCR errors: long-S and the line-break hyphenation.</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
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.