cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3900120
title: CaLiGraph - A Large-Scale Semantic Knowledge Graph compiled from Wikipedia Categories and List Pages

description: CaLiGraph is a large-scale semantic knowledge graph with a rich ontology which is compiled from the DBpedia ontology, and Wikipedia categories & list pages. For more information, visit http://caligraph.org Information about uploaded files:<br> (all files are b-zipped and in the n-triple format)<br> <br> caligraph-metadata.nt.bz2<br> Metadata about the dataset which is described using void vocabulary. caligraph-ontology.nt.bz2<br> Class definitions, property definitions, restrictions, and labels of the CaLiGraph ontology. caligraph-ontology_dbpedia-mapping.nt.bz2<br> Mapping of classes and properties to the DBpedia ontology. caligraph-ontology_provenance.nt.bz2<br> Provenance information about classes (i.e. which Wikipedia category or list page has been used to create this class). caligraph-instances_types.nt.bz2<br> Definition of instances and (non-transitive) types. caligraph-instances_transitive-types.nt.bz2<br> Transitive types for instances (can also be induced by a reasoner). caligraph-instances_labels.nt.bz2<br> Labels for instances. caligraph-instances_relations.nt.bz2<br> Relations between instances derived from the class restrictions of the ontology (can also be induced by a reasoner). caligraph-instances_dbpedia-mapping.nt.bz2<br> Mapping of instances to respective DBpedia instances. caligraph-instances_provenance.nt.bz2<br> Provenance information about instances (e.g. if the instance has been extracted from a Wikipedia list page). dbpedia_caligraph-instances.nt.bz2<br> Additional instances of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-types.nt.bz2<br> Additional types of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-relations.nt.bz2<br> Additional relations of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! <strong>Changelog</strong> v1.0.8 Small cosmetic changes to URIs to be closer to DBpedia URIs v1.0.7 Mappings from CaLiGraph classes to DBpedia classes are now realised via rdfs:subClassOf instead of owl:equivalentClass Entities are now URL-encoded to improve accessibility v1.0.6 Fixed a bug in the ontology creation step that led to a substantially lower amount of sub-type relationships than actually exist. The new version provides a richer type hierarchy that also leads to an increased amount of types for resources. v1.0.5 Fixed a bug that has declared CaLiGraph predicates as subclasses of owl:Predicate instead of being of the type owl:Predicate.
DOI: 10.5281/zenodo.3992547
title: CaLiGraph - A Large-Scale Semantic Knowledge Graph compiled from Wikipedia Categories and List Pages

description: CaLiGraph is a large-scale semantic knowledge graph with a rich ontology which is compiled from the DBpedia ontology, and Wikipedia categories & list pages. For more information, visit http://caligraph.org Information about uploaded files:<br> (all files are b-zipped and in the n-triple format)<br> <br> caligraph-metadata.nt.bz2<br> Metadata about the dataset which is described using void vocabulary. caligraph-ontology.nt.bz2<br> Class definitions, property definitions, restrictions, and labels of the CaLiGraph ontology. caligraph-ontology_dbpedia-mapping.nt.bz2<br> Mapping of classes and properties to the DBpedia ontology. caligraph-ontology_provenance.nt.bz2<br> Provenance information about classes (i.e. which Wikipedia category or list page has been used to create this class). caligraph-instances_types.nt.bz2<br> Definition of instances and (non-transitive) types. caligraph-instances_transitive-types.nt.bz2<br> Transitive types for instances (can also be induced by a reasoner). caligraph-instances_labels.nt.bz2<br> Labels for instances. caligraph-instances_relations.nt.bz2<br> Relations between instances derived from the class restrictions of the ontology (can also be induced by a reasoner). caligraph-instances_dbpedia-mapping.nt.bz2<br> Mapping of instances to respective DBpedia instances. caligraph-instances_provenance.nt.bz2<br> Provenance information about instances (e.g. if the instance has been extracted from a Wikipedia list page). dbpedia_caligraph-instances.nt.bz2<br> Additional instances of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-types.nt.bz2<br> Additional types of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-relations.nt.bz2<br> Additional relations of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! <strong>Changelog</strong> v1.0.9 Additional alternative labels for CaLiGraph instances v1.0.8 Small cosmetic changes to URIs to be closer to DBpedia URIs v1.0.7 Mappings from CaLiGraph classes to DBpedia classes are now realised via rdfs:subClassOf instead of owl:equivalentClass Entities are now URL-encoded to improve accessibility v1.0.6 Fixed a bug in the ontology creation step that led to a substantially lower amount of sub-type relationships than actually exist. The new version provides a richer type hierarchy that also leads to an increased amount of types for resources. v1.0.5 Fixed a bug that has declared CaLiGraph predicates as subclasses of owl:Predicate instead of being of the type owl:Predicate.
DOI: 10.5281/zenodo.8067711
title: The 102 Category Flower Dataset

description: Maria-Elena Nilsback and Andrew Zisserman have created a 102 category dataset,consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom.The details of the categories and the number of images for each class can be found at:https://www.robots.ox.ac.uk/~vgg/data/flowers/102/categories.html.The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.
description: {"references": ["Nilsback M E, Zisserman A. 2008. Automated flower classification over a large number of classes. 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing. IEEE, 722-729.Nilsback M E, Zisserman A. 2008. Automated flower classification over a large number of classes. 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing. IEEE, 722-729."]}
DOI: 10.5281/zenodo.8067710
title: The 102 Category Flower Dataset

description: Maria-Elena Nilsback and Andrew Zisserman have created a 102 category dataset,consisting of 102 flower categories. The flowers chosen to be flower commonly occuring in the United Kingdom.The details of the categories and the number of images for each class can be found at:https://www.robots.ox.ac.uk/~vgg/data/flowers/102/categories.html.The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.
description: {"references": ["Nilsback M E, Zisserman A. 2008. Automated flower classification over a large number of classes. 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing. IEEE, 722-729.Nilsback M E, Zisserman A. 2008. Automated flower classification over a large number of classes. 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing. IEEE, 722-729."]}
DOI: 10.5281/zenodo.8067751
title: The Oxford-IIIT Pet Dataset

description: Omkar M Parkhi and Andrea Vedaldi have created a 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.The details of the categories and the number of images for each class can be found at:https://www.robots.ox.ac.uk/~vgg/data/pets/.
description: {"references": ["Parkhi O M, Vedaldi A, Zisserman A, et al. 2012. Cats and dogs. 2012 IEEE conference on computer vision and pattern recognition. IEEE. 3498-3505."]}
DOI: 10.5281/zenodo.8067750
title: The Oxford-IIIT Pet Dataset

description: Omkar M Parkhi and Andrea Vedaldi have created a 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.The details of the categories and the number of images for each class can be found at:https://www.robots.ox.ac.uk/~vgg/data/pets/.
description: {"references": ["Parkhi O M, Vedaldi A, Zisserman A, et al. 2012. Cats and dogs. 2012 IEEE conference on computer vision and pattern recognition. IEEE. 3498-3505."]}
DOI: 10.5281/zenodo.8068262
title: VPTD Dataset

description: We propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows<br> us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages.
DOI: 10.5281/zenodo.8068261
title: VPTD Dataset

description: We propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows<br> us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages.
DOI: 10.6084/m9.figshare.21676466
title: Life cycle impacts of induction furnace technology for crude steel production: case study

description: Recent years have seen an increase in interest in steelmaking from scrap because it has the potential to lessen the environmental effect of steelmaking as a recycling process. This study provides the comprehensive assessment of the environmental impacts of steel produced in facilities utilizing electric arc furnace (EAF) and induction furnace (IF) technology. Since there has not been any previous research comparing these effects of these two steelmaking processes, which use scrap as a raw material, this study used the LCA approach to analyze the environmental impacts. A local Turkish steelmaking facility for IF provided the necessary inventory data. Compared to EAF in the rest of the world (4.75x10<sup>5</sup>), steel produced by IF has a better overall single score result (3x10<sup>5</sup>), and IF also emits 7.3% fewer CO<sub>2</sub>-equivalent (GHG) emissions while using 21.8% less water. In terms of the consumption of mineral and fossil resources and the impacts on global warming, steel produced with IF does have an advantage over steel produced with EAF. The source of electrical supply, along with water consumption and global warming, is responsible for the majority of environmental effects. The IF’s single score drops to 2.63x10<sup>5</sup> when European electricity supplies are used in its substitute. This demonstrates that lowering CO<sub>2</sub> emissions during the production of electricity is essential for lowering the carbon footprint of steel products and numerous other goods that include steel in their supply chains.
DOI: 10.6084/m9.figshare.21676466.v1
title: Life cycle impacts of induction furnace technology for crude steel production: case study

description: Recent years have seen an increase in interest in steelmaking from scrap because it has the potential to lessen the environmental effect of steelmaking as a recycling process. This study provides the comprehensive assessment of the environmental impacts of steel produced in facilities utilizing electric arc furnace (EAF) and induction furnace (IF) technology. Since there has not been any previous research comparing these effects of these two steelmaking processes, which use scrap as a raw material, this study used the LCA approach to analyze the environmental impacts. A local Turkish steelmaking facility for IF provided the necessary inventory data. Compared to EAF in the rest of the world (4.75x10<sup>5</sup>), steel produced by IF has a better overall single score result (3x10<sup>5</sup>), and IF also emits 7.3% fewer CO<sub>2</sub>-equivalent (GHG) emissions while using 21.8% less water. In terms of the consumption of mineral and fossil resources and the impacts on global warming, steel produced with IF does have an advantage over steel produced with EAF. The source of electrical supply, along with water consumption and global warming, is responsible for the majority of environmental effects. The IF’s single score drops to 2.63x10<sup>5</sup> when European electricity supplies are used in its substitute. This demonstrates that lowering CO<sub>2</sub> emissions during the production of electricity is essential for lowering the carbon footprint of steel products and numerous other goods that include steel in their supply chains.
DOI: 10.6084/m9.figshare.21548735
title: Purification and upgrading biogas from anaerobic digestion using chemical asborption of CO<sub>2</sub> with amines in order to produce biomethane as biofuel for vehicles: a pilot-scale study

description: Methane from biogas is a promising option for the transition to a circular economic system based on renewable and sustainable energy. Currently, there is a wide variety of technologies capable of efficiently extracting the impurities contained in biogas in order to produce biomethane. In the present study, work was carried out in a pilot plant for cleaning and upgrading real biogas from anaerobic digestion by means of the chemical absorption method. In contrast to other technologies, chemical absorption stands out for having the lowest CH<sub>4</sub> losses, which was crucial for this study. The objective was to purify and upgrade the biogas from anaerobic digestion of a WWTP to achieve a high concentration of methane and use it as biofuel in vehicles. The two aqueous solutions used as absorbents were mono-ethanolamine (MEA) and <i>N</i>-methyldiethanolamine (MDEA), both at 20% and 40% concentrations. It was found that the most effective solution was the MEA at 20% concentration, since it has the highest CO<sub>2</sub> removal efficiency (94%) and, therefore, CH<sub>4</sub> richness (96%). Finally, for every 100 m<sup>3</sup> of biomethane generated after the chemical absorption process, 62 Nm<sup>3</sup> of biofuel were obtained.
DOI: 10.6084/m9.figshare.21548735.v1
title: Purification and upgrading biogas from anaerobic digestion using chemical asborption of CO<sub>2</sub> with amines in order to produce biomethane as biofuel for vehicles: a pilot-scale study

description: Methane from biogas is a promising option for the transition to a circular economic system based on renewable and sustainable energy. Currently, there is a wide variety of technologies capable of efficiently extracting the impurities contained in biogas in order to produce biomethane. In the present study, work was carried out in a pilot plant for cleaning and upgrading real biogas from anaerobic digestion by means of the chemical absorption method. In contrast to other technologies, chemical absorption stands out for having the lowest CH<sub>4</sub> losses, which was crucial for this study. The objective was to purify and upgrade the biogas from anaerobic digestion of a WWTP to achieve a high concentration of methane and use it as biofuel in vehicles. The two aqueous solutions used as absorbents were mono-ethanolamine (MEA) and <i>N</i>-methyldiethanolamine (MDEA), both at 20% and 40% concentrations. It was found that the most effective solution was the MEA at 20% concentration, since it has the highest CO<sub>2</sub> removal efficiency (94%) and, therefore, CH<sub>4</sub> richness (96%). Finally, for every 100 m<sup>3</sup> of biomethane generated after the chemical absorption process, 62 Nm<sup>3</sup> of biofuel were obtained.
DOI: 10.5281/zenodo.8063240
title: Phononic crystals dataset for supervised training of surrogate deep learning model

description: The dataset contains shapes of unit cells of phononic crystals (inputs) in the form of images and corresponding dispersion diagrams (outputs). The dataset is used for deep learning (DL) model training.<br> Outputs are in the form of .mat files which contain vectors of reduced wavevector and corresponding frequencies, and also displacements u, v, w which can be used for polarization calculation. The dataset contains 11000 cases. Note: Ignore names "labels" as these are actually inputs to the DL model, not labels.
DOI: 10.5281/zenodo.8063241
title: Phononic crystals dataset for supervised training of surrogate deep learning model

description: The dataset contains shapes of unit cells of phononic crystals (inputs) in the form of images and corresponding dispersion diagrams (outputs). The dataset is used for deep learning (DL) model training.<br> Outputs are in the form of .mat files which contain vectors of reduced wavevector and corresponding frequencies, and also displacements u, v, w which can be used for polarization calculation. The dataset contains 11000 cases. Note: Ignore names "labels" as these are actually inputs to the DL model, not labels.
DOI: 10.25345/c53x83w53
title: MassIVE MSV000092237 - A general multipronged activation approach for natural product discovery in Actinomycetes 54 actinobacterial strains with genetic and cultivation based activation
title: LC-MS/MS fermentation extract collection of 54 diverse and non-domesticated actinobacterial strains interrogated with a one-step integrase-mediated genetic- and cultivation-based approach to perturb and activate metabolite production in actinobacteria that has significantly increased accessible metabolite space of the collection by nearly two-fold and selected metabolite yields by up to &gt;200-fold. Total of 124 unique strain-activator combinations and 459 mutants fermented in 3-5 media.
DOI: 10.6084/m9.figshare.23559300.v1
title: <strong>Streptococcus Pneumonia Hu17 and Influenza (H1N1) Virus Genome Study against Human Genome Sequences – DAVID analysis</strong>

description: The study was performed to analyze the overlapping of genome sequences in Streptococcus pneumonia Hu17 and Influenza (H1N1) virus against human genome - Homo sapiens Hg38 sequences by BLASTn sequence analysis. Several hits or overlapping nucleotide segments were identified. Between Streptococcus pneumonia Hu17 and Homo sapiens hg38, 287 overlaps were identified, and among influenza H1N1 and Homo sapiens hg38, 124 hits were identified. The corresponding genes associated with the overlapping segments were further analyzed for functional enrichment annotations through the database for annotation, visualisation and integrated discovery (DAVID) software. A wide range of functional significance of these genes was identified, and the results are presented. The results show insights into functional biological activities associated with the respective vaccinations or infections by these microorganisms. <br>
DOI: 10.6084/m9.figshare.23559300
title: <strong>Streptococcus Pneumonia Hu17 and Influenza (H1N1) Virus Genome Study against Human Genome Sequences – DAVID analysis</strong>

description: The study was performed to analyze the overlapping of genome sequences in Streptococcus pneumonia Hu17 and Influenza (H1N1) virus against human genome - Homo sapiens Hg38 sequences by BLASTn sequence analysis. Several hits or overlapping nucleotide segments were identified. Between Streptococcus pneumonia Hu17 and Homo sapiens hg38, 287 overlaps were identified, and among influenza H1N1 and Homo sapiens hg38, 124 hits were identified. The corresponding genes associated with the overlapping segments were further analyzed for functional enrichment annotations through the database for annotation, visualisation and integrated discovery (DAVID) software. A wide range of functional significance of these genes was identified, and the results are presented. The results show insights into functional biological activities associated with the respective vaccinations or infections by these microorganisms. <br>
DOI: 10.25592/uhhfdm.12574
title: Resources for deprecated CLARIN webservices

description: This record serves as a documentation and code archive for webservices developed for the CLARIN infrastructure that are no longer maintained by the HZSK. Most of them were deployed on https://corpora.uni-hamburg.de/apps, which is no longer in service.
DOI: 10.25592/uhhfdm.12573
title: Resources for deprecated CLARIN webservices

description: This record serves as a documentation and code archive for webservices developed for the CLARIN infrastructure that are no longer maintained by the HZSK. Most of them were deployed on https://corpora.uni-hamburg.de/apps, which is no longer in service.
DOI: 10.6084/m9.figshare.21788777
title: Dataset for Sustainable Development in Poor Areas

description: Datasets for Figure 2 and Figure 3
DOI: 10.6084/m9.figshare.21788777.v1
title: Dataset for Sustainable Development in Poor Areas

description: Datasets for Figure 2 and Figure 3
DOI: 10.5281/zenodo.8068424
title: Calcification records of Porites corals from the northern South China Sea over the last Millennium

description: This is a dataset on the linear extension rates, skeletal density and calcification rates of Porites corals in the South China Sea over the past thousand years.
DOI: 10.5281/zenodo.8068423
title: Calcification records of Porites corals from the northern South China Sea over the last Millennium

description: This is a dataset on the linear extension rates, skeletal density and calcification rates of Porites corals in the South China Sea over the past thousand years.
DOI: 10.48579/pro/z9acp1/tkaqyq
title: pyRIVE.zip

description: :unav
DOI: 10.48579/pro/z9acp1
title: pyRIVE

description: The pyRIVE model aims at representing the biogeochemical functioning of aquatic system, by simulating concentrations of oxygen and nutrients dissolved (NH4+, NO2-, NO3-, PO43-, SiO2) and particulate (PIP, BSi), suspended matter, dissolved and particulate organic carbon (3 classes of biodegradability), dissolved gases (CO2, N2O et CH4). Biological compartments are represented by 3 taxonomic classes of phytoplankton (diatoms, chlorophyceae, and cyanobacteria), 2 types of zooplankton (rotifers with short generation time and microcrustaceans with long generation time), 2 types of heterotrophic bacteria (small autochthonous and large allochthonous) as well as nitrifying bacteria. Faecal bacteria (free and attached) are also considered as state variables. The model also takes into account benthic variables (benthic organic matter, inorganic particulate phosphorus, benthic biogenic silica).