cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1289791.v4
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289786.v2
title: Water revealed as molecular mirror when measuring low concentrations of sugar with near infrared light (PONE-D-14-41033R1)

description: NIR spectra of aqueous solutions of individaul sugars and sugar mixes. PONE-D-14-41033R1 Near infrared spectroscopy is an overtone spectroscopy regarded as a quick and non-destructive method that provides analytical solutions for components that represent approximately 1 % or more of the total mass of the investigated composite samples. Aquaphotomics offers the possibility for disentanglement of information remaining hidden in the spectra when conventional data evaluation methods are used, since this concept describes induced changes of water structure in aqueous solutions as molecular vibrations at specific water wavelength bands. Here, near infrared technique and aquaphotomics are applied for non-destructive identification and quantification of mono- and di-saccharide solutes at 100-0.1 millimolar concentration that is accepted as unachievable with near infrared spectroscopy. The results presented in this study support the extended water mirror concept that explores spectral changes related to water molecular rearrangements in the solution caused by minute changes of the solutes in the aqueous systems. The method may provide a quick and accurate alternative for classical analytical measurements of saccharides even at millimolar concentration levels.
DOI: 10.6084/m9.figshare.1289784
title: Laurencia JFC0032 plastid genome

description: High-resolution figures with the description of the plastid genome of Laurencia strain JFC0032
DOI: 10.6084/m9.figshare.1289789.v3
title: Nerwip Corpus - Data part.2/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289788.v3
title: Nerwip Corpus - Description

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289791.v5
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289788.v4
title: Nerwip Corpus - Data part.3/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289789.v4
title: Nerwip Corpus - NER part.2/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289778
title: prices of stock market indices and returns of individual stocks

description: the prices of 25 stock market indecs and the normalized returns of 200 individual stocks in New York Stock Exchange and Shanghai Stock Exchange
DOI: 10.6084/m9.figshare.1289791.v6
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289776
title: Partial example of use of DoCO

description: This is the DoCO characterisation of the paper entitled "The Document Components Ontology (DoCO)", submitted to the Semantic Web Journal. The main container (i.e., the paper) has been described through the FRBR-align Bibliographic Ontology (FaBiO, http://purl.org/spar/fabio), while the order among the various component has been described by means of the Collections Ontology (CO, http://purl.org/co). The actual textual content of each component has been specified through the property "c4o:hasContent" of the Citation Counting and Context Characterisation Ontology (C4O, http://purl.org/spar/c4o).
DOI: 10.6084/m9.figshare.1289788.v5
title: Nerwip Corpus - NER part.3/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289789.v5
title: Nerwip Corpus - NER part.2/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289755
title: Mataws Dataset

description: The Mataws annotated web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws (https://code.google.com/p/mataws/). Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically. Our collection is based primilarly on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess Mataws quality of annotation. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors. If you use our dataset, please cite the following article: Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. http://link.springer.com/chapter/10.1007/978-3-642-22185-9_27
DOI: 10.6084/m9.figshare.1289788.v6
title: Nerwip Corpus - NER part.3/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289789.v7
title: Nerwip Corpus - NER part.2/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289791.v7
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289755.v1
title: Mataws Dataset

description: The Mataws annotated web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws (https://code.google.com/p/mataws/). Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically. Our collection is based primilarly on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess Mataws quality of annotation. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors. If you use our dataset, please cite the following article: Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. http://link.springer.com/chapter/10.1007/978-3-642-22185-9_27
DOI: 10.6084/m9.figshare.1289789.v6
title: Nerwip Corpus - NER part.2/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289788.v8
title: Nerwip Corpus - NER part.3/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289752
title: Mataws Annotated WS Collection

description: The Mataws annotated web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws (https://code.google.com/p/mataws/). Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically. Our collection is based primilarly on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess Mataws quality of annotation. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors. If you use our dataset, please cite the following article: Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. http://link.springer.com/chapter/10.1007/978-3-642-22185-9_27
DOI: 10.6084/m9.figshare.1289791.v8
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289788.v7
title: Nerwip Corpus - NER part.3/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1289776.v1
title: Partial example of use of DoCO

description: This is the DoCO characterisation of the paper entitled "The Document Components Ontology (DoCO)", submitted to the Semantic Web Journal. The main container (i.e., the paper) has been described through the FRBR-align Bibliographic Ontology (FaBiO, http://purl.org/spar/fabio), while the order among the various component has been described by means of the Collections Ontology (CO, http://purl.org/co). The actual textual content of each component has been specified through the property "c4o:hasContent" of the Citation Counting and Context Characterisation Ontology (C4O, http://purl.org/spar/c4o).
DOI: 10.6084/m9.figshare.1289750
title: Phylogeny of 48 species of Drosophilidae

description: Newick format tree, methods for inference in associated manuscript Longdon et al "The causes and consequences of changes in virulence following pathogen host shifts"
DOI: 10.6084/m9.figshare.1289752.v1
title: Mataws Annotated WS Collection

description: The Mataws annotated web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws (https://code.google.com/p/mataws/). Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically. Our collection is based primilarly on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess Mataws quality of annotation. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors. If you use our dataset, please cite the following article: Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. http://link.springer.com/chapter/10.1007/978-3-642-22185-9_27
DOI: 10.6084/m9.figshare.1289791.v9
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289750.v1
title: Phylogeny of 48 species of Drosophilidae

description: Newick format tree, methods for inference in associated manuscript Longdon et al "The causes and consequences of changes in virulence following pathogen host shifts"
DOI: 10.6084/m9.figshare.1289776.v2
title: Partial example of use of DoCO

description: This is the DoCO characterisation of the paper entitled "The Document Components Ontology (DoCO)", submitted to the Semantic Web Journal. The main container (i.e., the paper) has been described through the FRBR-align Bibliographic Ontology (FaBiO, http://purl.org/spar/fabio), while the order among the various component has been described by means of the Collections Ontology (CO, http://purl.org/co). The actual textual content of each component has been specified through the property "c4o:hasContent" of the Citation Counting and Context Characterisation Ontology (C4O, http://purl.org/spar/c4o).
DOI: 10.6084/m9.figshare.1289791.v10
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289791.v11
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289791.v12
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289791.v13
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289721
title: Effect of capsaicin on vascular smooth muscle cell proliferation: raw data

description: Cell proliferation was estimated by quantification of metabolic activity (Data_1A) and DNA synthesis (Data_1B) (both relative units). Cell death was estimated by quantification of the percentage of extracellular lactate dehydrogenase activity (Data_1C). Numbers in column headers denote capsaicin concentration (uM); Digitonin concentration was 100 ug/mL). Data correspond to Figure 1 in the associated article.
DOI: 10.6084/m9.figshare.1289791.v14
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.