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6,157 results for “knowledge”
WikiCausal Corpus for Evaluation of Causal Knowledge Graph Construction
<p>Documentation on the data format and how it can be used can be found on: <a href="https://github.com/IBM/wikicausal">https://github.com/IBM/wikicausal</a> as well as our paper:</p> <pre><code>@unpublished{, author = {Oktie Hassanzadeh and Mark Feblowitz}, title = {{WikiCausal}: Corpus and Evaluation Framework for Causal Knowledge Graph Construction}, year = {2023}, doi = {10.5281/zenodo.7897996} }</code></pre> <pre>Corpus derived from Wikipedia and Wikidata. Refer to Wikipedia and Wikidata <a href="https://en.wikipedia.org/wiki/Wikipedia:Copyrights">license and terms of use</a> for more details:</pre> <ul> <li><strong>Permission is granted</strong> to copy, distribute and/or modify Wikipedia's text under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported License and, <em>unless otherwise noted</em>, the GNU Free Documentation License, unversioned, with no invariant sections, front-cover texts, or back-cover texts.</li> <li>A copy of the Creative Commons Attribution-ShareAlike 3.0 Unported License is included in the section entitled "<a href="https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License">Wikipedia:Text of Creative Commons Attribution-ShareAlike 3.0 Unported License</a>"</li> <li>A copy of the GNU Free Documentation License is included in the section entitled "<a href="https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License">GNU Free Documentation License</a>".</li> <li>Content on Wikipedia is covered by <a href="https://en.wikipedia.org/wiki/Wikipedia:General_disclaimer">disclaimers</a>.</li> </ul> <pre>THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</pre>
Dataset "What children know and want to know about climate change: a prior-knowledge self-assessment"
<p>Dataset: Responses to two open questionnaires: Questionnaire1: "What do you know about climate change?"; Questionnaire 2: "Waht do you want to know about climate change?" Applied to middle school students, from the ages of 10 (5<sup>th</sup> grade) until the ages of 13 (8<sup>th</sup> grade), at schools "Escola Básica e Secundária Dr. Pascoal José de Mello" and "Escola Nº 2 de Avelar" from the municipality of Ansião at the central region of Portugal. The survey was applied to students both individually (n=106) and in group (n= 60), encompassing a total of 417 students. Due to logistical reasons, it was no possible to gather individual questionnaires for the 5<sup>th</sup> grade.</p> <p> </p>
Dataset: an overview of knowledge graphs in NFDI
<p>This dataset contains a list of knowledge graphs (KGs), KG software, KG publications and KG use cases in context of NFDI (German National Research Data Infrastructure). The related manuscript is submitted to a poster session at the <em>1st Conference on Research Data Infrastructure - Connecting Communities, </em>12. – 14. September 2023, Karlsruhe, Germany: 'Who is using Knowledge Graphs in NFDI? An overview by the Working Group "Knowledge Graphs"'.</p>
PheKnowLator Human Disease Knowledge Graph Benchmarks -- v1.0.0
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v1.0.0)</strong></p><p><strong>Build Date: September 03, 2019</strong></p><p>The KG Benchmark Builds can also be downloaded from Zenodo:<br>👉 <strong>KGs:</strong> <a href="https://doi.org/10.5281/zenodo.7030200">https://doi.org/10.5281/zenodo.7030200</a><br>👉 <strong>Embeddings:</strong> <a href="https://zenodo.org/record/7030189">https://zenodo.org/record/7030189</a></p><p> </p><p><strong>Required Input Documents</strong></p><ul><li>resource_info.txt</li><li>class_source_list.txt</li><li>instance_source_list.txt</li><li>ontology_source_list.txt</li></ul><p> </p><p><strong>Data</strong></p><p><strong>Data Download Date:</strong> November 30, 2018</p><p><i><strong>Ontologies</strong></i></p><ul><li><a href="http://purl.obolibrary.org/obo/go.owl">Gene Ontology</a></li><li><a href="http://purl.obolibrary.org/obo/hp.owl">Human Phenotype Ontology</a></li></ul><p><i><strong>Classes</strong></i></p><ul><li><a href="http://purl.obolibrary.org/obo/doid.owl">Human Disease Ontology</a></li><li><a href="http://geneontology.org/gene-associations/goa_human.gaf.gz">Gene Ontology: gene associations</a></li><li><a href="https://reactome.org/download/current/gene_association.reactome">Reactome: gene associations</a></li><li><a href="http://compbio.charite.de/jenkins/job/hpo.annotations.monthly/lastStableBuild/artifact/annotation/ALL_SOURCES_ALL_FREQUENCIES_genes_to_phenotype.txt">Human Phenotype Ontology: all source annotations - genes to phenotypes</a></li><li><a href="http://compbio.charite.de/jenkins/job/hpo.annotations.monthly/lastSt">Human Phenotype Ontology: all source annotations - diseases to genes to phenotypes</a></li></ul><p><i><strong>Instances</strong></i></p><ul><li><a href="http://ctdbase.org/reports/CTD_chem_gene_ixns.tsv.gz">CTD: chemicals-genes</a></li><li><a href="http://ctdbase.org/reports/CTD_chem_pathways_enriched.tsv.gz">CTD: chemicals-pathways</a></li><li><a href="http://ctdbase.org/reports/CTD_chemicals_diseases.tsv.gz">CTD: chemicals-diseases</a></li><li><a href="http://ctdbase.org/reports/CTD_genes_pathways.tsv.gz">CTD: genes-pathways</a></li><li><a href="http://ctdbase.org/reports/CTD_diseases_pathways.tsv.gz">CTD: diseases-pathways</a></li><li><a href="https://stringdb-static.org/download/protein.links.v10.5/9606.protein.links.v10.5.txt.gz">STRING DB: Proteins</a></li><li><a href="https://string-db.org/mapping_files/entrez_mappings/entrez_gene_id.vs.string.v10.28042015.tsv">String DB: entrez gene mappings</a></li></ul><p> </p><p><strong>Knowledge Graphs</strong></p><p><strong>Knowledge Representation</strong><br>We worked with a PhD-level biologist to develop a knowledge representation (see the figure below) that modeled mechanisms underlying human disease.</p><p> </p><p>To do this, we manually mapped all possible combinations of the following six node types:</p><ul><li>Humans Diseases</li><li>Human Phenotypes</li><li>Human Genes</li><li>Gene Ontology concepts</li><li>Reactome Pathways</li><li>Chemicals</li></ul><p>As shown in the figure above, the <a href="http://basic-formal-ontology.org/">Basic Formal Ontology</a> and <a href="https://github.com/oborel/obo-relations/">Relation Ontology</a> ontologies were then used to create edges between the node types.</p><p> </p><p>As shown in this figure, the following edge-types were created:</p><ul><li><strong>Phenotypes-Genes:</strong> The <a href="http://purl.obolibrary.org/obo/hp.owl">Human Phenotype Ontology (HP)</a> provides <a href="http://compbio.charite.de/jenkins/job/hpo.annotations.monthly/lastStableBuild/artifact/annotation/ALL_SOURCES_ALL_FREQUENCIES_genes_to_phenotype.txt">phenotype-Entrez gene annotations</a> that were used to map 6,651 HP classes to 120,288 Entrez genes.</li><li><strong>Phenotypes-Diseases:</strong> The <a href="http://purl.obolibrary.org/obo/hp.owl">HP</a> provides <a href="http://compbio.charite.de/jenkins/job/hpo.annotations.monthly/lastStableBuild/artifact/annotation/ALL_SOURCES_ALL_FREQUENCIES_diseases_to_genes_to_phenotypes.txt">HP-DOID-Gene annotations</a> that were used to map 5,438 HP concepts to 43,817 DOID concepts.</li><li><strong>Biological processes, Molecular Functions, and Cellular Locations-Genes:</strong> The <a href="http://purl.obolibrary.org/obo/go.owl">Gene Ontology (GO)</a> provides <a href="http://geneontology.org/gene-associations/goa_human.gaf.gz">GO-Gene annotations</a> that were used to map 17,505 GO concepts to 265,002 Entrez genes.</li><li><strong>Biological processes, Molecular Functions, and Cellular Locations-Pathways-Pathways:</strong> <a href="https://reactome.org/">Reactome</a> provides <a href="https://reactome.org/download/current/gene_association.reactome">GO-Gene links</a> that were used to map 17,906 pathways to 1,910 biological processes, molecular functions, and cellular locations.</li><li><strong>Chemicals-Pathways:</strong> The <a href="http://ctdbase.org/">Comparative Toxicogenomics Database (CTD)</a> provides <a href="http://ctdbase.org/reports/CTD_chem_pathways_enriched.tsv.gz">Chemical-pathway links</a> that were used to map 8,886 MESH concepts to 711,043 Reactome pathways.</li><li><strong>Chemicals-Genes:</strong> The <a href="http://ctdbase.org/">Comparative Toxicogenomics Database (CTD)</a> provides <a href="http://ctdbase.org/reports/CTD_chem_gene_ixns.tsv.gz">Chemical-Gene links</a> that were used to map 8,881 MESH concepts 410,379 Entrez genes.</li><li><strong>Chemicals-Diseases:</strong> The <a href="http://ctdbase.org/">Comparative Toxicogenomics Database (CTD)</a> provides <a href="http://ctdbase.org/reports/CTD_chemicals_diseases.tsv.gz">Chemical-Disease links</a> that were used to map 14,238 MESH concepts 1,216,900 DOID concepts.</li><li><strong>Genes-Genes:</strong> The<a href="https://string-db.org/">STRING Database</a> provides <a href="https://stringdb-static.org/download/protein.links.v10.5/9606.protein.links.v10.5.txt.gz">Gene-Gene links</a> that were used to create 594,100 gene-gene interactions. When generating these mappings, only the inferred protein-protein relationships considered to be high confidence were used (score of 700 or better).</li><li><strong>Genes-Disease:</strong> Mappings between genes and diseases were retrieved from <a href="http://www.disgenet.org/web/DisGeNET/menu">DisGeNet</a> via SPARQL endpoint and used to map 6,051 Entrez genes to 20,452 DOID concepts.</li><li><strong>Genes-Pathways:</strong> The <a href="http://ctdbase.org/">Comparative Toxicogenomics Database (CTD)</a> provides <a href="http://ctdbase.org/reports/CTD_genes_pathways.tsv.gz">Gene-Pathway links</a> that were used to map 110,370 Entrez genes to 107,029 Reactome pathways.</li><li><strong>Pathways-Disease:</strong> The <a href="http://ctdbase.org/">Comparative Toxicogenomics Database (CTD)</a> provides <a href="http://ctdbase.org/reports/CTD_diseases_pathways.tsv.gz">Pathway-Disease links</a> that were used to map 1,818 Reactome pathways to 106,727 DOID concepts.</li></ul><p> </p><p><strong>Knowledge Graph</strong><br>The knowledge graph represented above was built using the following steps: Merge Ontologies: Merge ontologies using the <a href="https://github.com/owlcollab/owltools/wiki">OWL Tools API</a><br>Express New Ontology Concept Annotations: Create new ontology annotations by asserting a relation between the instance and an instance of the ontology class. For example to assert the following relations:</p><blockquote><p><a href="https://www.ncbi.nlm.nih.gov/mesh/68009020">Morphine</a> --> <a href="https://www.ebi.ac.uk/ols/ontologies/ro/properties?iri=http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FRO_0002606">is substance that treats</a> --> <a href="https://hpo.jax.org/app/browse/term/HP:0002076">Migraine</a></p><p>We would need to create two axioms:</p><ul><li>isSubstanceThatTreats(Morphine, x1)</li><li>instanceOf(x1, Migraine)</li></ul></blockquote><p>While the instance of the HP class hemiplegic migraines can be treated as an anonymous node in the knowledge graph, we generate a new international resource identifier for each newly generated instance.</p><p><strong>Deductively Close Knowledge Graph:</strong> The knowledge graph is deductively closed by using the OWL 2 EL reasoner, ELK via Protégé v5.1.1. ELK is able to classify instances and supports inferences over class hierarchies and object properties. inference over disjointness, intersection, and existential quantification (ontology class hierarchies).</p><p><strong>Generate Edge List:</strong> The final step before exporting the edge list is to remove any nodes that are not biologically meaningful or would otherwise reduce the performance of machine learning algorithms and the algorithm used to generate embeddings.</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/September-3,-2019">here</a>.</p>
Qualitative dataset based on ancestral knowledge about coffee crops
<p> </p> <p>The qualitative dataset is about coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection by means of ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.</p>
Codebook - Knowledge-Action Platforms (Data & Policy article) Bream McIntosh et al.,
<p>Codebook used for Round 2 coding against key criteria of a 'Platform' definition that responds to matrix coding of Sustainability Knowledge Action Platforms. To accompany the article in Data & Policy 'The role of sustainability knowledge-action platforms in advancing multi-stakeholder engagement on sustainability'.</p>
Dataset: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.
<p>Dataset for: Koschollek C, Kuehne A, Müllerschön J, Amoah S, Batemona-Abeke H, Dela Bursi T, Mayamba P, Thorlie A, Mputu Tshibadi C, Wangare Greiner V, Bremer V, Santos-Hövener C: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.</p> <p>This dataset has been described in a PLoS One paper and contains all data necessary to replicate the results presented within this paper (10.1371/journal.pone.0227178). Please cite both the paper as well as the DOI of this dataset if you make use of the data.</p>
WarSampo Knowledge Graph
<p>WarSampo Knowledge Graph includes harmonized data of different kinds concerning the Second World War in Finland, separated in different subgraphs representing events, actors, places, photographs, and other aspects and documentation of the war. The data covers the Winter War 1939-1940 against the Soviet attack, the Continuation War 1941-1944 where the occupied areas of the Winter War were temporarily regained, and the Lapland War 1944-1945, where the Finns pushed the German troops away from Lapland.</p> <p>To test and demonstrate its usefulness, this Knowledge Graph is in use in the semantic portal <a href="https://sotasampo.fi/en">WarSampo</a>, explained in more detail in the <a href="https://seco.cs.aalto.fi/projects/sotasampo/en/">project page</a>.</p> <p>Example SPARQL queries for the data:</p> <ul> <li><a href="http://yasgui.org/#query=PREFIX+skos%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2004%2F02%2Fskos%2Fcore%23%3E%0APREFIX+rdfs%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23%3E%0APREFIX+crm%3A+%3Chttp%3A%2F%2Fwww.cidoc-crm.org%2Fcidoc-crm%2F%3E%0APREFIX+articles%3A+%3Chttp%3A%2F%2Fldf.fi%2Fschema%2Fwarsa%2Farticles%2F%3E%0APREFIX+wet%3A+%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Fevents%2Fevent_types%2F%3E%0APREFIX+dc%3A+%3Chttp%3A%2F%2Fpurl.org%2Fdc%2Felements%2F1.1%2F%3E%0A%0A%23+Events%2C+photographs+and+articles+that+are+situated+in+Vyborg%0ASELECT+DISTINCT+%3Ftype+%3Fresource+%3FprefLabel%0AWHERE+%7B%0A++%7B%0A++++%23+Events%0A++++BIND+(%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Fplaces%2Fmunicipalities%2Fm_place_614%3E+as+%3Fvyborg)%0A++++%3Fresource+crm%3AP7_took_place_at+%3Fvyborg+%3B%0A++++++++++++++a+%3FtypeURI+%3B%0A++++++++++++++crm%3AP4_has_time-span+%3Ftimespan+.%0A++++FILTER(%3FtypeURI+!%3D+wet%3APhotography)%0A++++%3FtypeURI+rdfs%3AsubClassOf*+crm%3AE5_Event+.%0A++%7D%0A++UNION%0A++%7B%0A++++%23+Photographs%0A++++BIND+(%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Fplaces%2Fmunicipalities%2Fm_place_614%3E+as+%3Fvyborg)%0A++++%3Fresource+%5Ecrm%3AP94_has_created%2Fcrm%3AP7_took_place_at+%3Fvyborg+%3B%0A++++++++++++++++++++++++++++++++++a+%3FtypeURI+.%0A++%7D%0A++UNION%0A++%7B%0A++++%23+Articles%0A++++BIND+(%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Fplaces%2Fmunicipalities%2Fm_place_614%3E+as+%3Fvyborg)%0A++++%3Fresource+articles%3Aplace%2Fskos%3ArelatedMatch+%3Fvyborg+%3B%0A++++++++++++++++++++++++++++articles%3Aauthor+%3Fauthor+%3B%0A++++++++++++++++++++++++++++articles%3Aissue+%3Fissue+%3B%0A++++++++++++++++++++++++++++a+%3FtypeURI+.%0A++%7D%0A++OPTIONAL+%7B%0A++++%3FtypeURI+skos%3AprefLabel+%3Ftype+.%0A++++FILTER(langMatches(lang(%3Ftype)%2C+%22en%22))%0A++%7D%0A++OPTIONAL+%7B%0A++++%3FtypeURI+skos%3AprefLabel+%3Ftype+.%0A++++FILTER(langMatches(lang(%3Ftype)%2C+%22fi%22))%0A++%7D%0A++OPTIONAL+%7B%0A++++%3FtypeURI+skos%3AprefLabel+%3Ftype+.%0A++%7D%0A++OPTIONAL+%7B%0A++++%3Fresource+skos%3AprefLabel%7Cdc%3Atitle+%3FprefLabel+.%0A++++FILTER(langMatches(lang(%3FprefLabel)%2C+%22en%22))%0A++%7D%0A++OPTIONAL+%7B%0A++++%3Fresource+skos%3AprefLabel%7Cdc%3Atitle++%3FprefLabel+.%0A++++FILTER(langMatches(lang(%3FprefLabel)%2C+%22fi%22))%0A++%7D%0A++OPTIONAL+%7B%0A++++%3Fresource+skos%3AprefLabel%7Cdc%3Atitle+%3FprefLabel+.%0A++%7D%0A%7D+&contentTypeConstruct=text%2Fturtle&contentTypeSelect=application%2Fsparql-results%2Bjson&endpoint=http%3A%2F%2Fldf.fi%2Fwarsa%2Fsparql&requestMethod=POST&tabTitle=Query+1&headers=%7B%7D&outputFormat=table">Events, photographs and articles that are situated in Vyborg</a></li> <li><a href="http://yasgui.org/#query=PREFIX+%3A+%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Factors%2F%3E+%09%0APREFIX+warsa%3A+%3Chttp%3A%2F%2Fldf.fi%2Fschema%2Fwarsa%2F%3E+%09%0APREFIX+atypes%3A+%3Chttp%3A%2F%2Fldf.fi%2Fwarsa%2Factors%2Factor_types%2F%3E+%09%0APREFIX+foaf%3A+%3Chttp%3A%2F%2Fxmlns.com%2Ffoaf%2F0.1%2F%3E+%09%0APREFIX+casualties%3A+%3Chttp%3A%2F%2Fldf.fi%2Fschema%2Fwarsa%2Fcasualties%2F%3E%09%0APREFIX+skos%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2004%2F02%2Fskos%2Fcore%23%3E+%09%0APREFIX+xsd%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2001%2FXMLSchema%23%3E+%09%0APREFIX+crm%3A+%3Chttp%3A%2F%2Fwww.cidoc-crm.org%2Fcidoc-crm%2F%3E+%09%0APREFIX+geo%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2003%2F01%2Fgeo%2Fwgs84_pos%23%3E%09%0A%0A%23+Place%2Fdate+distribution+for+casualties+of+the+1st+Division+and+its+subunits+in+time+interval+13.2.-13.3.1940%0ASELECT+%3Fplacename+%3Flat+%3Flon+(SUM(%3Fw)+AS+%3Fnum_casualties)+%3Fdate+WHERE+%7B+%09%0A++%7B%0A++++SELECT+%3Fplace+(COUNT(%3Fid)+AS+%3Fw)+%3Fdate+WHERE+%7B%0A++++++%3Aactor_1135+(%5Ecrm%3AP144_joined_with%2Fcrm%3AP143_joined)*+%3Fsubunit+.%0A%0A++++++%3Fid+a+warsa%3ADeathRecord+%3B%0A++++++++++casualties%3Aunit+%3Fsubunit+%3B%09%0A++++++++++warsa%3Adate_of_death+%3Fdate+.%0A%0A++++++FILTER(%3Fdate+%3E%3D+%221940-02-13%22%5E%5Exsd%3Adate+%26%26+%3Fdate+%3C%3D+%221940-03-13%22%5E%5Exsd%3Adate)+%09%09%0A%0A++++++%3Fid+casualties%3Amunicipality_of_death+%3Fplace+.%0A%0A++++%7D%09GROUP+BY+%3Fplace+%3Fw+%3Fdate%0A++%7D++%09%0A++FILTER+(%3Fw+%3E+0)+%0A++%3Fplace+skos%3AprefLabel+%3Fplacename+.%0A++OPTIONAL+%7B%0A++++%3Fplace+geo%3Alat+%3Flat+%3B+%0A+++++++++++geo%3Along+%3Flon+.%09%0A++%7D%0A%7D+GROUP+BY+%3Fplacename+%3Flat+%3Flon+%3Fweigth+%3Fdate+ORDER+BY+%3Fdate&contentTypeConstruct=text%2Fturtle&contentTypeSelect=application%2Fsparql-results%2Bjson&endpoint=http%3A%2F%2Fldf.fi%2Fwarsa%2Fsparql&requestMethod=POST&tabTitle=Query&headers=%7B%7D&outputFormat=table">Casualties of the 1st Division and its subunits in the time interval 13.2.-13.3.1940 by place and date</a></li> </ul> <p>WarSampo knowledge graph version history:</p> <ul> <li>1.0.0, November 2015: Initial public release</li> <li>1.1.0, November 2017: War cemeteries addition</li> <li>2.0.0, May 2018: Backwards-incompatible URI changes</li> <li>2.0.1, November 2019: Updated schema and VoiD descriptions</li> <li>2.1.0, November 2019: Prisoners of war addition</li> </ul> <p>Version 2.1.0 contains 14,322,426 triples.</p> <p>To combine the files into a single Turtle file on a Linux system:</p> <pre><code class="language-bash">find . -mindepth 2 -name "*.ttl" | xargs cat >> warsampo.ttl</code></pre> <p> </p>
FIGURE 1a–e in Challenges for the future of taxonomy: talents, databases and knowledge growth
FIGURE 1a–e: Amphipod pictures from BOLD uploaded as reference with sequences. a) Hyperia Latreille in Desmarest, 1823 sequence (arrow) embedded in the BIN of Gammarus setosus Dementieva, 1931, at first glance a misidentification, but b) the uploaded photo of Hyperia sp. confirms the identification; most likely explanation is cross-contamination or tissue sample mix-up during handling; c) example of a too small photo of a specimen, which does not allow a confirmation of the identification, same applies for d) fragment of amphipod; e) six sequences of the same amphipod species sharing just two photos, these repeatedly used photos do not help to verify the identification.
FIG. 5 in Additional data towards the knowledge of european Podismini Jacobson, 1905 (Orthoptera, Acrididae, Melanoplinae)
FIG. 5. — Epiphallus of male in dorsal view: A, Peripodisma llofizii n. sp.; B, Peripodisma tymphii Willemse, 1972. Abbreviations: Ap, anterior projection; Lp, lateral pons; Pp, posterior projection; Lo, lophus; Po, pons; An, ancora. Scale bar: 1 mm.
FIG. 3 in Additional data towards the knowledge of european Podismini Jacobson, 1905 (Orthoptera, Acrididae, Melanoplinae)
FIG. 3. — Abdominal apex of male: A, Peripodisma llofizii n. sp.; B, Peripodisma tymphii Willemse, 1972.
Figures 7–13. Jansenia myanmarensis Wiesner, 2004. 7 in Two new tiger beetle species (Coleoptera: Cicindelidae) from Myanmar and notes on another species. 151. Contribution towards the knowledge of the Cicindelidae
Figures 7–13. Jansenia myanmarensis Wiesner, 2004. 7) Habitus, male, scale = 5 mm. 8–9. Labrum, scale = 1 mm. 8) Male. 9) Female. 10–12. Left elytron, scale = 2 mm. 10) Male. 11) Female. 12) Paratype female. 13) Left lateral view of aedeagus, scale = 1 mm.
Figures 7–13 in Records of tiger beetles (Coleoptera: Cicindelidae) collected in Cambodia, with description of a new species. 149. Contribution towards the knowledge of the Cicindelidae
Figures 7–13. Cambodian tiger beetles. All scale bars = 5 mm. 7) Calochroa interruptofasciata flavolineata (Chaudoir, 1865) from Chambok. 8) Calochroa bramani (Dokhtouroff, 1882) from Chambok. 9) Calomera angulata angulata (Fabricius, 1798) from Phnom Aural. 10) Cosmodela duponti duponti (Dejean, 1826) from Yeak Laom Lake. 11) Cosmodela juxtata (Acciavatti and Pearson, 1989) from Bokor N. P. 12) Lophyra (Spilodia) lineifrons (Chaudoir, 1865) from Phnom Aural.
Figures 22–26 in Records of tiger beetles (Coleoptera: Cicindelidae) collected in Cambodia, with description of a new species. 149. Contribution towards the knowledge of the Cicindelidae
Figures 22–26. Cambodian tiger beetles. All scale bars = 5mm. 22) Cylindera (Ifasina) viduata (Fabricius, 1801) from Phnom Aural. 23) Cylindera (Ifasina) viridilabris (Chaudoir, 1852) from Phnom Aural. 24) Cylindera (Ifasina) somnuki Naviaux, 1991 from Phnom Aural. 25) Cylindera (Ifasina) spinolae koratensis Naviaux, 1991 from Phnom Aural. 26) Cylindera (Eugrapha) minuta (Olivier, 1790) from Yeak Laom Lake.
Figures 1–6 in Records of tiger beetles (Coleoptera: Cicindelidae) collected in Cambodia, with description of a new species. 149. Contribution towards the knowledge of the Cicindelidae
Figures 1–6. Cambodian tiger beetles. All scale bars = 5 mm. 1) Tricondyla (Tricondyla) macrodera abruptesculpta Horn, 1925 from Phnom Samkos. 2) Neocollyris (Neocollyris) moesta moesta (Schmidt-Goebel, 1846) from Phnom Aural. 3) Neocollyris (Pachycollyris) bipartita unicolor (Horn, 1935) from Phnom Samkos. 4) Prothyma (Genoprothyma) heteromalla (Macleay, 1825) from Be Treed. 5) Heptodonta eugenia Chaudoir, 1865 from Phnom Aural. 6) Therates laotiensis Sawada and Wiesner, 1999 from Bokor N. P.
Figs 41–50 in Contribution to the knowledge of selected genera of the tribe Opsiini (Hemiptera: Cicadellidae: Deltocephalinae) from the Kingdom of Saudi Arabia
Figs 41–50. Hishimonus phycitis (Distant, 1908). 41 – aedeagus, dorsal view; 42 – aedeagus, lateral view; 43 – connective; 44 – style; 45 – subgenital plate; 46 – valve; 47 – pygofer; 48 – female 7th sternite; 49–50 – ovipositor, lateral view.
Figs 1–6. 1–2 in Contribution to the knowledge of selected genera of the tribe Opsiini (Hemiptera: Cicadellidae: Deltocephalinae) from the Kingdom of Saudi Arabia
Figs 1–6. 1–2 – Concavifer marmoratus Dlabola, 1960: 1 – dorsal view of male; 2– dorsal view of female. 3–4 – Phlepsopsius arabicus Dlabola, 1979: 3 – dorsal view; 4 – head and thorax. 5–6 – Hishimonus phycitis (Distant, 1908): 5 – dorsal view; 6 – head and thorax.
Figures 1–6. Passadena mistralae n in Contribution to the knowledge of Chilean Phycitinae (Lepidoptera: Pyralidae): new species of Passadena Hulst, 1900, and Ragonotia Grote, 1888, from northern Chile
Figures 1–6. Passadena mistralae n. sp. habitus. 1) Holotype female. 2–3) Female paratypes. 4) Male paratype. 5) Head of female. 6) Head of male. Scale: 1.0 mm.
Selected survey papers for creating a knowledge graph
<p>This file contains the set of selected survey papers for populating a scholarly knowledge graph. This includes the paper title, table reference, source and full paper reference. </p>
Figures 42–54 in Remarks on the subgenus Cylinderina Rivalier (Coleoptera: Cicindelidae: Cylindera) from the Philippines with description of a new species 144. Contribution towards the knowledge of the Cicindelidae
Figures 42–54. Cylindera (Cylinderina). All scales = 1 mm. 42–48. C. (C.) genieri Cassola and Werner, 2003. 42) Habitus, paratype male from Balaoi (SDEI). 43) Left lateral view of aedeagus, male from Pagudpud (CDFC). 44–45. Left elytron. 44) Paratype male from Balaoi (SDEI). 45) Paratype female from Balaoi (JWGC). 46–48. Labrum. 46) Paratype male from Balaoi (SDEI). 47) Male from Pagudpud (CDFC). 48) Paratype female from Balaoi (JWGC). 49–54. C. (C.) vandenberghei Dheurle, 2016. 49) Habitus, paratype female from Santa Ana (JWGC). 50) Left lateral view of aedeagus, paratype from Santa Ana (CDFC). 51–52. Left elytron. 51) Paratype male from Santa Ana (CDFC). 52) Paratype female from Santa Ana (JWGC). 53–54. Labrum. 53) Paratype male from Santa Ana (CDFC). 54) Paratype female from Santa Ana (JWGC)
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.