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Dataset results
55 results for “knowledge modeling”
Node2Vec model - Czech Wikidata (knowledge graph / concepts / l80 / rw40)
<p>Node2Vec embedding model trained on Czech wikidata (from October 2020) concepts using gensim implementation of Word2Vec with the following parameters for random walks:</p> <ul> <li>length of walk = 80</li> <li>number of random walks = 40</li> </ul>
Node2Vec model - Czech Wikidata (knowledge graph / concepts / l40 / rw10)
<p>Node2Vec embedding model trained on Czech wikidata (from October 2020) concepts using gensim implementation of Word2Vec with the following parameters for random walks:</p> <ul> <li>length of walk = 40</li> <li>number of random walks = 10</li> </ul>
Node2Vec model - Czech Wikidata (knowledge graph / labels / l80 / rw40)
<p>Node2Vec embedding model trained on Czech wikidata (from October 2020) labels using gensim implementation of Word2Vec with the following parameters for random walks:</p> <ul> <li>length of walk = 80</li> <li>number of random walks = 40</li> </ul>
Node2Vec model - Czech Wikidata (knowledge graph / labels / l160 / rw40)
<p>Node2Vec embedding model trained on Czech wikidata (from October 2020) labels using gensim implementation of Word2Vec with the following parameters for random walks:</p> <ul> <li>length of walk = 160</li> <li>number of random walks = 40</li> </ul>
Deep learning models predicting gene functions and pathways using public DRKG knowledge graph and graph neural network
<p>The attached dataset contains pretrained link prediction models, as described in our paper 'Morphological Map of Under- and Over-Expression of Genes in Human Cells'.</p>
Code and data for "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N2O Emission using Data from Mesocosm Experiments "
<p>This is code and data for manuscript: <br> "KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: <br> A Case Study of Estimating N<sub>2</sub>O Emission using Data from Mesocosm Experiments"<br> Licheng Liu, Shaoming Xu, Zhenong Jin*, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, <br> Matt D. Erickson, Alexander L. Frie, Xiaowei Jia, Taegon Kim, Lee T. Miller, Bin Peng, Shaowei Wu, Yufeng Yang, Wang Zhou, Vipin Kumar</p> <p>All the files belong to Prof. Zhenong Jin, University of Minnesota, UA. jinzn@umn.edu<br> "code" foler includes code for data processing, model training, and results plotting.<br> "trained_model_saved" includes all trained model so you can use to reproduce the results showed in the study;<br> "data" includes all data presented in the study. Finetuning data is refering to Miller, L.T. , Griffis, T. J., Erickson, M. D., Turner, P. A., Deventer, M. J., Chen, Z., Yu, Z., Venterea, R.T., Baker, J. M., and Frie, A. L. (2021). Response of nitrous oxide emissions to future changes in precipitation and individual rain events. Journal of Environmental Quality, In review</p>
OC-782K: Knowledge Graph of "Scientometrics" modelled according to the OpenCitations Data Model
<p>This dataset is a knowledge graph extracted from a <a href="https://static.aminer.cn/misc/na-data-kdd18.zip">t</a>riplestore covering information about the journal <em>Scientometrics</em> and modelled according to the OpenCitations Data Model. The original triplestore is available <a href="https://doi.org/10.5281/zenodo.5151264">here</a>. This KG was extracted for a research project on knowledge graph embeddings (KGEs) for author disambiguation. Structural triples of the knowledge graph are split into training, testing and validation for applying representation learning methods. Textual literals and numeric literals were stored separately in order to implement multimodal approaches for KGEs (see <a href="https://arxiv.org/abs/1802.00934">arXiv:1802.00934</a>). For the same reason, textual literals and numeric literals are already stored into sentence embeddings and a numeric matrix respectively in the files <em>textual_literals.npy </em>and <em>numeric_literals.npy</em>. The file <em>and_eval</em><em>.json </em>contains the evaluation dataset used for evaluating our AND architecture. For the script used to gather this dataset see the GitHub repository: <a href="https://github.com/sntcristian/and-kge/tree/main/aminer">https://github.com/sntcristian/and-kge/tree/main/open-citations</a>.</p>
Data from: Building on 150 years of knowledge: the freshwater isopod Asellus aquaticus as an integrative eco-evolutionary model system
<p><strong>Introduction</strong></p> <p>This is a literature database with reference information of all papers that use the freshwater isopod <em>Asellus aquaticus</em>; published between the years 1867 and 2020. This database is intended as a starting point for scientists interested in conducting research on and with this organism. The database is currently only available as a single CSV file; future versions may be made available through a more frequently updated SQL database. The database includes specific information about the subject area and content of each paper, as well as bibliographic information. This repository is associated with the paper "Building on 150 years of knowledge: the freshwater isopod<em> Asellus aquaticus</em> as an integrative eco-evolutionary model system", published in Frontiers in Ecology and Evolution.</p> <p><strong>Details on Methods from the electronic supplement:</strong></p> <p>We used the we online search tools of Web of Science (WOS; Clarivate analytics) by searching for the term "asellus aquaticus" in six relevant databases (BIOSIS, CABI, FSTA, Medline, WOS Core Collection and Zoological Records). The database was accessed with a University License (Lund University). We manually downloaded the results and combined them to a single CSV file in Excel (Microsoft). All further processing was done in the statistical programming language R, version 4.0.2 (R Core Team 2020).</p> <p>From the 1238 obtained records we discarded three papers that were published after the year 2020 to work with completed years only. We used the subject areas assigned by WOS to provide an overview of the fields of science in which A. aquaticus has been most studied. Each paper had between one and ten subject areas assigned by WOS (2845 assignments to 1235 papers, meaning 2.3 assignments per paper, on average). To represent these multiple assignments in relation to the actual number of papers per year, we calculated "fractional assignments" by adding up all assignments to a field per year, divided by the total number of assignments in that year, and then multiplied by the number of papers. For example, if there were 12 assignments to "toxicology" in 1993, and 133 assignments in 1993, but only 21 papers published, "toxicology" would get a score of 1.9 papers in 1993 (as calculated by = (12/133)*21). In Figure 1, we represent these "fractional assignments" in the top panel, and the total number of assignments in the lower panel.</p> <p><strong>Caption for figure (1) in publication:</strong></p> <p>FIGURE 1 | Over 150 years of research on and with Asellus aquaticus. The figure summarizes published scientific literature on A. aquaticus. We conducted a quantitative literature survey with the search tools of Web of Science (WOS; Clarivate analytics) by searching for the term "asellus aquaticus" in six databases (i.e., BIOSIS, CABI, FSTA, Medline, WOS Core Collection, and Zoological Records). We found 1235 records, published between 1867 and 2020. (A) The graph shows the number of publications per year within a given subject area, as designated by WOS. (B) The graph shows the total number of publications assigned to a specific subject area. The top 10 fields account for 72.58% of all publications, and are indicated by color coding in A and B (multiple assignments are possible, summing up to 2845 assignments). The inset in B shows a wordcloud with the 100 most used keywords from all A. aquaticus’ publications. Furthermore, we compiled all records with relevant information (e.g., title, keywords, research areas, and abstract) to a single file which is available online. More details can be found in the Supplementary Material.</p>
Results and log of LLM-KG-Bench runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al. 2023
<p>Results and logs of <a href="https://github.com/AKSW/LLM-KG-Bench">LLM-KG-Bench</a> runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al., to appear in <a href="https://2023-eu.semantics.cc/page/accepted_posters">SEMANTICS 2023 poster track</a> proceedings.</p>
Learning stochastic process-based models of dynamical systems from knowledge and data - Libraries, incomplete models and data
<p>The archive contains all libraries of domain knowledge, the incomplete models and the data used in the experiments described in the manuscript titled "Learning stochastic process-based models of dynamical systems from knowledge and data" pubilshed in BMC Systems Biology</p>
Knowledge Discovery from Porous Organic Cages Literature Using a Large Language Model
<p>This article presents a GPT-4-based literature reading method that incorporates multi-label text classification and a follow-up information extraction, in which the potential of GPT-4 can be fully exploited to rapidly extract valid information from the literature. In the process of multi-label text classification, the prompt-engineered GPT-4 demonstrated the ability to label text with proper recall rates according to the type of information contained in text, including authors, affiliations, synthetic procedures, surface area, and the CCDC number of corresponding cages. Additionally, GPT-4 demonstrated proficiency in information extraction, effectively transforming labeled text into concise tabulated data. Furthermore, we built a chatbot based on this database, allowing for quick and comprehensive searching across the entire database and responding for cage-related questions.</p>
Ensembles of knowledge graph embedding models improve predictions for drug discovery
<p>This contains data described in detail in our paper, "Ensembles of knowledge graph embedding models improve predictions for drug discovery". The metadata involves the different trained models that were used for prediction analysis as well as all the predictions from the trained models.</p>
Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.
<p>Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.</p>
Instance of the learning ecosystem metamodel: model of the ecosystem for knowledge management in Spanish Public Administration
<p>The conceptual model definition of the learning ecosystem for knowledge management in the Spanish Public Administration has been made by defining three views or packages from the ecosystems metamodel presented above. The views correspond to the three main parts identified in the learning ecosystem metamodel (<a href="http://doi.org/10.5281/zenodo.829859">http://doi.org/10.5281/zenodo.829859</a>): software components, human elements and the relationship among each other.</p>
Instance of the learning ecosystem metamodel: model of the ecosystem for scientific knowledge management in a PhD programme
<p>The learning ecosystem modeled from the Ecosystems Metamodel is oriented to manage the scientific knowledge generated in the scope of the PhD Program on Education in the Knowledge Society at the University of Salamanca (<a href="https://knowledgesociety.usal.es">https://knowledgesociety.usal.es</a>).</p> <p>The model (M1-level) has been divided in three packages: the ecosystem tools model; the ecosystem users model; and the ecosystem services model. Furthermore, the classes from the metamodel (M2-level) are represented to indicate which classes are used to model the example.</p>
SPARQL-Queries: Patterns in modeling and querying a knowledge graph for literary history
<p>All SPARQL queries documented here refer to the SPARQL endpoint: <u><a href="https://query.mimotext.uni-trier.de/">https://query.mimotext.uni-trier.de</a></u>. The queries are supplement to the following preprint: <span><a href="https://doi.org/10.5281/zenodo.12080340">https://doi.org/10.5281/zenodo.12080340</a></span>.</p> <ul> <li>Query 0, Fig 3: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0A%23defaultView%3AGraph%0ASELECT%20%3Fitem1%20%3Fitem1Label%20%3Fitem2%20%3Fitem2Label%20%3FedgeLabel%20%0AWITH%20%7B%0A%20%20SELECT%20%3Fitem1%20WHERE%20%7B%0A%20%20%20%20VALUES%20%3Fitem1%20%7B%20mmd%3AQ1011%20mmd%3AQ981%20mmd%3AQ2%20mmd%3AQ3039%20mmd%3AQ38%20mmd%3AQ3126%20mmd%3AQ3335%20mmd%3AQ3259%20mmd%3AQ3906%7D%0A%20%20%7D%0A%7D%20AS%20%25item1%0AWITH%20%7B%0A%20%20SELECT%20%28%3Fitem1%20AS%20%3Fitem2%29%20WHERE%20%7B%0A%20%20%20%20INCLUDE%20%25item1.%0A%20%20%7D%0A%7D%20AS%20%25item2%0AWHERE%20%7B%0A%20%20INCLUDE%20%25item1.%0A%20%20INCLUDE%20%25item2.%0A%20%20%3Fitem1%20%3Fwdt%20%3Fitem2.%0A%20%20%3Fedge%20wikibase%3AdirectClaim%20%3Fwdt%3B%0A%20%20%20%20%20%20%20%20a%20wikibase%3AProperty.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Authors (here: ‘Voltaire’) and works (here: ‘Le Micromégas’) in subject position shown as Graph</a></u></li> <li>Query 1: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIx%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fsubject%20%28COUNT%28%3Fo%29%20as%20%3Fcounts%29%0AWHERE%20%7B%0A%20%20VALUES%20%28%3Fp%20%3Fo%29%20%7B%20%28mmdt%3AP2%20mmd%3AQ2%29%20%28mmdt%3AP11%20mmd%3AQ11%29%20%28mmdt%3AP2%20mmd%3AQ20%29%20%28mmdt%3AP2%20mmd%3AQ26%29%20%7D%0A%20%20%3Fitem%20%3Fp%20%3Fo.%0A%20%20BIND%28IF%28%3Fo%20%3D%20mmd%3AQ2%2C%20%22novels%22%2C%20%0A%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ11%2C%20%22authors%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ20%2C%20%22thematic%20concepts%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ26%2C%20%22spatial%20concepts%22%2C%20%22none%22%29%0A%20%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%29%20as%20%3Fsubject%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7DGROUP%20BY%20%3Fo%20%3Fsubject" target="_blank" rel="noopener">Count of novels, authors, thematic concepts and spatial concepts</a></u></li> <li>Query 2: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Narrative%20locations%20of%20literary%20works%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3FnarrativeLoc%20%3FnarrativeLocLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20%3FnarrativeLoc.%20%23item%20has%20narrative%20location%28s%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D" target="_blank" rel="noopener">Narrative locations of literary works</a></u></li> <li>Query 3: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Novels%20set%20in%20%27imaginary%20place%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20mmd%3AQ3371.%20%23%20item%20has%20narrative%20location%20%27imaginary%20place%27%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels set in ‘imaginary place’</a></u></li> <li>Query 4: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20that%20have%20theme%20%27miracle%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ2990.%20%23%20item%20is%20about%20miracle%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels that have theme ‘miracle’</a></u></li> <li>Query 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20published%20in%20Paris%20between%201780%20and%201790%20that%20have%20theme%20%27philosophy%27%20%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fyear%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP10%20mmd%3AQ3521%3B%20%23item%20was%20published%20in%20Paris%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3039%3B%20%23item%20is%20about%20philosophy%0A%20%20%20%20%20%20%20%20mmdt%3AP9%20%3Fdate.%20%23item%20has%20publication%20date.%0A%0A%20%20FILTER%28%3Fdate%20%3E%3D%20%221780%22%5E%5Exsd%3AdateTime%20%26%26%20%3Fdate%20%3C%3D%20%221790%22%5E%5Exsd%3AdateTime%29.%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29.%0A%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels published in Paris between 1780 and 1790 that have theme ‘philosophy’</a></u></li> <li>Query 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AQuery%20to%20retrieve%20some%20data%20about%20the%20MiMoTextBase%20such%20as%20Authors%2C%20Novels%2C%20publicationyears%2C%20tonality%20etc.%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fbgrf%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Fyear%20%3Fnarrpers%20%3Ftonality%20%3Fpages%20%3Fdist_format%20WHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%20%23item%20is%20instance%20of%20literary%20work%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP5%20%3Fauthor%7D%20%23item%20has%20author%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP4%20%3Ftitle%7D%20%23item%20has%20title%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP22%20%3Fbgrf%7D%20%20%23item%20has%20identifier%20in%20the%20bibliographic%20metadata%3F%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP9%20%3Fdate%7D%20%23item%20has%20publication%20date%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP27%20%3Fnarrpers%7D%20%23item%20has%20narrative%20form%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP31%20%3Ftonality%7D%20%23item%20has%20tonality%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP25%20%3Fpages%7D%20%23item%20has%20page%20information%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP26%20%3Fdist_format%7D%20%23item%20has%20distribution%20format%20%28optionally%29%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2C%20fr%22.%20%7D%0A%7D%20ORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Query to retrieve some data about the MiMoTextBase such as Authors, Novels, publicationyears, tonality etc.</a></u></li> <li>Query 7, Fig. 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThemes%20occuring%20in%20novels%20of%20intention%20satire%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Ftheme%20%28SAMPLE%28%3FthemeLabel%29%20as%20%3Fname%29%20%20%28count%28%2A%29%20as%20%3Fcount%29%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23%20item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP39%20mmd%3AQ3906%3B%20%23novel%20has%20intention%20satire%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftheme.%20%23novel%20has%20theme%0A%20%20%20%20%20%20%3Ftheme%20rdfs%3Alabel%20%3FthemeLabel%20.%0A%20%20%20%20%20%20FILTER%20%28LANG%28%3FthemeLabel%29%20%3D%20%22en%22%29%20.%0A%7D%0AGROUP%20BY%20%3Ftheme%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Themes occuring in novels of intention satire</a></u></li> <li>Query 8: <u><a href="https://query.mimotext.uni-trier.de/#%23defaultView%3ABarChart%0A%23title%3ARatio%20of%20the%20theme%20%27nature%27%20over%20time%0A%23count%20of%20%27nature%27%20%28countNature%29%20as%20a%20novel%20theme%20in%20relation%20to%20the%20number%20of%20novels%20published%20per%20year%20%28countAll%29%3B%20ratio%2C%20as%20novel%20production%20is%20rising%20strongly%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fdate%20%28%3FcountNature%20%2F%20%3FcountAll%20AS%20%3Frel%29%20%20%3FcountNature%20%3FcountAll%20%20WHERE%20%7B%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountNature%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3005.%0A%20%20%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountAll%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%7D" target="_blank" rel="noopener">Ratio of the theme ‘nature’ over time</a></u></li> <li>Query 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20concepts%20of%20novels%20referenced%20by%20%E2%80%98Topic%20Modeling%E2%80%99%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmpr%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20prov%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2Fns%2Fprov%23%3E%0A%0ASELECT%20%3FthemeLabel%20%28COUNT%28%2A%29%20AS%20%3Fcount%29%20WHERE%20%7B%0A%20%20%3Fstatement%20mmps%3AP36%20%3Ftheme%3B%0A%20%20%20%20%20%20%20%20prov%3AwasDerivedFrom%20%3Frefnode.%0A%20%20%3Frefnode%20mmpr%3AP18%20mmd%3AQ21.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D%0AGROUP%20BY%20%3FthemeLabel" target="_blank" rel="noopener">Thematic concepts of novels referenced by ‘Topic Modeling’</a></u></li> <li>Query 10, Fig. 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20statements%20derived%20from%20%E2%80%98topic%20modeling%E2%80%99%20and%20the%20bibliography%0A%23Statements%20on%20consistent%20topics%20in%20novels%20from%20both%20sources%3A%20Topic%20Modeling%20%26%20bibliographic%20metadata%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20mmpr%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmp%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2F%3E%0A%0ASELECT%20%3Fnovel%20%3FnovelLabel%20%3FtopicLabel%20%3FBGRF_plot_theme%20WHERE%0A%7B%20%20%20%0A%20%20%20%20%3Fnovel%20mmp%3AP36%20%3Fstatement.%0A%20%20%20%20%3Fstatement%20mmps%3AP36%20%3Ftopic.%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ21.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20topic%20modeling%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ1.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20bibliographie%20%20%0A%20%20%20%20%3Fnovel%20mmdt%3AP30%20%3FBGRF_plot_theme.%20%23statement%20in%20the%20BGRF%20about%20the%20plot%20theme.%0A%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Thematic statements referenced by ‘topic modeling’ and the bibliography</a></u></li> <li>Query 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AOverview%20over%20controlled%20vocabularies%0A%23%20Query%20to%20retrieve%20the%20different%20controlled%20vocabularies%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fvoc%20%3FvocLabel%20%28COUNT%28%3FvocLabel%29%20as%20%3Fcount%29%20%28COUNT%28%3Fwikimatch%29%20as%20%3Fwikimatch%29%0AWHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP37%20%3Fvoc.%0A%20%20%20%3Fvoc%20mmdt%3AP2%2Fmmdt%3AP1%20mmd%3AQ17.%0A%20%20%20OPTIONAL%7B%0A%20%20%20%20%20values%20%3Fwiki%20%7Bmmdt%3AP13%20mmdt%3AP16%7D%0A%20%20%20%20%20%3Fitem%20%3Fwiki%20%3Fwikimatch%7D%0A%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D%0AGROUP%20BY%20%3Fvoc%20%3FvocLabel%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Overview over controlled vocabularies</a></u></li> <li>Query 12: <u><a href="https://query.mimotext.uni-trier.de/#%23%20get%20combinations%20of%20narrative%20Form%20and%20intention%20per%20year%0A%23defaultView%3ABarChart%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0A%0ASELECT%20%3Fyear%20%28COUNT%28%2A%29%20as%20%3Fcount%29%20%3FnarrFormTone%0A%20%20WHERE%7B%0A%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fpublicationdate.%20%23%20get%20publication%20date%0A%20%20%20%20%3Fitem%20mmdt%3AP38%20%3Ftone.%20%23%20get%20intention%0A%20%20%20%20BIND%28str%28YEAR%28%3Fpublicationdate%29%29%20as%20%3Fyear%29.%20%23%20extract%20year%20from%20pubdate%0A%20%20%20%20%3Fitem%20mmdt%3AP33%20%3FnarrForm.%20%23%20get%20narrative%20form%20%20%20%0A%20%20%20%20%3Ftone%20rdfs%3Alabel%20%3FtoneLabel.%0A%20%20%20%20FILTER%28LANG%28%3FtoneLabel%29%20%3D%20%22en%22%29.%0A%20%20%20%20%3FnarrForm%20rdfs%3Alabel%20%3FnarrFormLabel.%0A%20%20%20%20FILTER%28LANG%28%3FnarrFormLabel%29%20%3D%20%22en%22%29.%20%0A%20%20%20%20BIND%28CONCAT%28STR%28%3FnarrFormLabel%29%2C%20%22%20--%20%22%20%2C%20STR%28%3FtoneLabel%29%29%20as%20%3FnarrFormTone%29.%0A%20%20%7D%0AGROUP%20BY%20%3Fyear%20%3FnarrFormTone%0AHAVING%20%28%3Fcount%20%3E%201%29%0AORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Combinations of narrative Form and intention per year</a></u></li> <li>Query 13: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ATopic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%20WHERE%20%7B%0A%20%20%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%0A%20%20FILTER%28LANG%28%3FtopicLabel_EN%29%20%3D%20%22en%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_FR%29%20%3D%20%22fr%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_DE%29%20%3D%20%22de%22%29.%0A%0A%7D" target="_blank" rel="noopener">Topic labels in English, French and German using rdfs:label and Filter</a></u></li> <li>Query 14: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Topic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%0A%20%20%20WHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%0A%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%20%20%0A%20%20%20%20%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%20%20%20%7D%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22de%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%20%20%20%7D%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22fr%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%20%20%20%7D%20%0A%20%20%20%0A%20%20%20%7D" target="_blank" rel="noopener">Topic labels in English, French and German using Wikibase Label Service</a></u></li> <li>Query 15: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ALabels%20entered%20on%20wikidata-entry%20%27Voltaire%27%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%28LANG%28%3FVoltaireLabels%29%20as%20%3Flang%29%20%3FVoltaireLabels%20%0AWHERE%20%7B%20%0A%20%20%0A%20%20mmd%3AQ981%20mmdt%3AP13%20%3FwikiDataEntity.%20%23%20Voltaire%20has%20a%20wikidata%20match.%0A%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%3FwikiDataEntity%20rdfs%3Alabel%20%3FVoltaireLabels.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%7D%0AORDER%20BY%20%3Flang" target="_blank" rel="noopener">Labels entered on wikidata-entry ‘Voltaire’</a></u></li> <li>Query 16, Fig. 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANarrative%20locations%20of%20the%20novels%20on%20a%20map%0A%23defaultView%3AMap%7B%22markercluster%22%3A%22true%22%7D%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20wd%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20wdt%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3Fnarr_loc%20%3Fnarr_locLabel%20%3FWikiDataEntity%20%3FcoordinateLocation%0AWHERE%20%7B%20%3Fitem%20mmdt%3AP32%20%3Fnarr_loc.%0A%20%20%3Fnarr_loc%20mmdt%3AP13%20%3FWikiDataEntity.%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%3FWikiDataEntity%20wdt%3AP625%20%3FcoordinateLocation%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%7D%0A%7D" target="_blank" rel="noopener">Narrative location with geo coordinate locations via federated query</a></u></li> <li>Query 17: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AAlternative%20Labels%20of%20author%20names%20via%20%E2%80%98federated%E2%80%99%20queries%E2%80%99%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fauthor%20%3FauthorLabel%20%3FwikidataEntity%20%3Faltname%0AWHERE%20%7B%0A%20%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FwikidataEntity.%20%20%23exact%20match%0A%20%0A%20%20%20%20%20%20%23Federated%20Query%20-%3E%20Wikidata%0ASERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FwikidataEntity%20skos%3AaltLabel%20%3Faltname%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D%0ALIMIT%201000" target="_blank" rel="noopener">Alternative Labels of author names via ‘federated’ queries’</a></u></li> <li>Query 18, Fig. 10: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AMiMoText%20novels%20with%20URL%20to%20Biblioth%C3%A8que%20nationale%20de%20France%20%0A%23defaultView%3AImageGrid%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20prefix%20definition%20for%20entity%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20prefix%20definition%20for%20property%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%20%23mimotext%20prefix%20for%20entity%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%23mimotext%20prefix%20for%20property%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fwikidata%20%3Fbnfurl%20%3Fimage%20%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%0A%20%20%3Fitem%20mmdt%3AP13%20%3Fwikidata.%0A%20%20%3Fitem%20rdfs%3Alabel%20%3FitemLabel%20.%0A%20%20FILTER%28lang%28%3FitemLabel%29%20%3D%20%22en%22%29%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%3Fwikidata%20wdt%3AP268%20%3Fbnfid.%0A%20%20%20%20OPTIONAL%7B%20%3Fwikidata%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20OPTIONAL%7B%20wd%3AP268%20wdt%3AP1630%20%3Fformatterurl.%7D%0A%20%20%20BIND%28IRI%28REPLACE%28%3Fbnfid%2C%20%27%5E%28.%2B%29%24%27%2C%20%3Fformatterurl%29%29%20AS%20%3Fbnfurl%29.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%0A%7D" target="_blank" rel="noopener">Finding Identifiers on other Knowledge Graphs, for example Bibliothèque nationale de France ID</a></u></li> <li>Query 19, Fig. 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AInfluence%20networks%20of%20authors%20via%20%27federated%20query%27%0A%23defaultView%3AGraph%0APREFIX%20wd%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20entity%0APREFIX%20wdt%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20property%0A%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Finfluencedby%20%3Fimage%20%3Fname%0AWHERE%20%7B%0A%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FWikidataEntity.%20%20%23exact%20match%0A%20%20%20%20%20%20%0A%23Federated%20Query%20-%3E%20Wikidata%0A%20%20%20%20%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FWikidataEntity%20wdt%3AP737%2Fwdt%3AP737%20%3Finfluencedby.%0A%20%20%20%20%20%20%20%20%20%23%20%3Finfluencedby%20widt%3AP734%20%3Fname.%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20OPTIONAL%20%7B%20%20%3Finfluencedby%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D" target="_blank" rel="noopener">Influence networks of authors via ‘federated query’</a></u></li> </ul>
Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with Knowledge Base
<p>Official Code and Dataset of Table Tennis Coaching System Based on a Multimodal Large Language Model with Knowledge Base</p>
FIGURE 2 in The 20 Anniversary Of A Model Mite: A Review Of Current Knowledge About Archegozetes Longisetosus (Acari, Oribatida)
FIGURE 2: Molting aggregation of individuals from all active instars (larvae, proto-, deuto-, tritonymphs and adults) of Archegozetes longisetosus ran in a laboratory culture.
FIGURE 1 in The 20 Anniversary Of A Model Mite: A Review Of Current Knowledge About Archegozetes Longisetosus (Acari, Oribatida)
FIGURE 1: SEM-micrograph of a group of adult Archegozetes longisetosus on unicellular alga (Chlorella). Scale bar: 100 µm.
FIGURE 3 in The 20 Anniversary Of A Model Mite: A Review Of Current Knowledge About Archegozetes Longisetosus (Acari, Oribatida)
FIGURE 3: Schematic representation of different scenarios of genital system ontogenesis in Archegozetes longisetosus. Dorsal view, ontogenetic series top to bottom. Left column shows oviducts as anterograde developing coelomoducts following the 'classical' view of Goodrich (1945) and Anderson (1973). Right column shows an alternative description by Warren (1945), interpreting the oviducts as retrograde developing ectodermal invaginations. Middle column shows two scenarios derived from the information obtained in studies of A. longisetosus (Bergmann et al. 2008, Bergmann and Heethoff 2012b). It is unclear whether the oviducts derive from a fold at the rim of the gonocoel with a primary contact site at the ovary (a) or are retrograde developing tubular extensions with a secondary contact site at the ovary (b), and whether their lumen is primary (coelomic cavity) or secondary.
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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.