cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7081523
title: MUHAI Benchmark : Task 1 (Short story generation with Knowledge Graphs)

description: <strong>Meaning and Understanding in Human-Centric AI (MUHAI) Benchmark<br> Task 1 (Short story generation with Knowledge Graphs and Language Models)</strong> The dataset can be used to test understandability of text generated through the combination of knowledge graphs and language models without using knowledge graph embeddings.<br> <br> The task here is to generate 5-sentence stories from a set of <em>subject-predicate-object</em> triples that are extracted from a knowledge graph. Two steps need to be performed: 1. Language model fine-tuning (SVO triple extraction + model fine-tuning)<br> 2. Story generation (knowledge enrichment + text generation) <br> <br> The submission includes the following data: Original ROC stories corpus (100 stories) ROC stories encoded with relevant triples (extracted through SpaCy, 2 versions, with and without coreference resolution) Stories generated by the pre-trained model (GPT2-simple) Stories generated by the fine-tuned model (DICE + ConceptNet + DBpedia ) Stories generated by the fine-tuned model (DICE + ConceptNet + DBpedia + WordNet ) Stories generated by the GPT-2-keyword-generation (an open-source software that uses GPT-2 to generate text pertaining to the specified keywords) Model results Evaluation metrics description User-evaluation questionnaire Code : https://github.com/kmitd/muhai-dice_story
description: {"references": ["Yang, X., & Tiddi, I. (2020, January). Creative storytelling with language models and knowledge graphs. In CIKM (Workshops).", "Blin, I. (2022). Building Narrative Structures from Knowledge Graphs. In European Semantic Web Conference (pp. 234-251). Springer, Cham."]}
DOI: 10.5281/zenodo.7119019
title: MUHAI Benchmark : Task 1 (Short story generation with Knowledge Graphs)

description: <strong>Meaning and Understanding in Human-Centric AI (MUHAI) Benchmark<br> Task 1 (Short story generation with Knowledge Graphs and Language Models)</strong> The dataset can be used to test understandability of text generated through the combination of knowledge graphs and language models without using knowledge graph embeddings.<br> <br> The task here is to generate 5-sentence stories from a set of <em>subject-predicate-object</em> triples that are extracted from a knowledge graph. Two steps need to be performed: 1. Language model fine-tuning (SVO triple extraction + model fine-tuning)<br> 2. Story generation (knowledge enrichment + text generation) <br> <br> The submission includes the following data: Original ROC stories corpus (100 stories) ROC stories encoded with relevant triples (extracted through SpaCy, 2 versions, with and without coreference resolution) Stories generated by the pre-trained model (GPT2-simple) Stories generated by the fine-tuned model (DICE + ConceptNet + DBpedia ) Stories generated by the fine-tuned model (DICE + ConceptNet + DBpedia + WordNet ) Stories generated by the GPT-2-keyword-generation (an open-source software that uses GPT-2 to generate text pertaining to the specified keywords) Model results Evaluation metrics description User-evaluation questionnaire Code : https://github.com/kmitd/muhai-dice_story
description: {"references": ["Yang, X., & Tiddi, I. (2020, January). Creative storytelling with language models and knowledge graphs. In CIKM (Workshops).", "Blin, I. (2022). Building Narrative Structures from Knowledge Graphs. In European Semantic Web Conference (pp. 234-251). Springer, Cham."]}
DOI: 10.5281/zenodo.5825697
title: Data to "The first reconstruction of the head anatomy of a Cretaceous insect, †Gerontoformica gracilis (Hymenoptera, Formicidae), and the early evolution of ants"

description: Data to Richter et al. 2022 "The first reconstruction of the head anatomy of a Cretaceous insect, †Gerontoformica gracilis (Hymenoptera, Formicidae), and the early evolution of ants" in Insect Systematics and Diversity.<br> The dataset contains PDFs of ACCTRAN and DELTRAN parsimony reconstructions of character evolution, image and data files of an anlysis of mandibular muscle fiber lengths, a ORS Dragonfly file containing the segmentation of head structures of †Gerontoformica gracilis, the focal study object of the article, and 4µCT scans of wasps used as outgroups in the study. Details of these µCT scans can be found in the methods section of the related article. The scans are provided in 2D TIF files and represent datasets cropped to just the head and transformed to align the main head axes with the viewing planes, and resampled with a bin 2x2x2 in ImageJ for easier data handling, as they were used in the article. The scan files also include scan parameter log files; importantly, due to binning, the given camera pixel size has to be multiplied by 2.<br> The datasets cover <em>Parischnogaster</em> sp. (de Saussure, 1852) (Hymenoptera, Vespidae), <em>Methocha</em> sp.(Hymenoptera, Thynnidae), <em>Ampulex</em> sp. (Fabricius, 1781) (Hymenoptera, Ampulicidae), and <em>Sceliphron caementarium</em> (Drury, 1773) (Hymenoptera, Sphecidae).<br> All taxa were stained in a 2% iodine solution in ethanol for a week prior to scanning. They were transferred to a sealed off pipette tip of appropriate size filled with ethanol and mounted on a metal sample holder. They were scanned at a SkyScan 2211 (Bruker, Billerica, USA) at the Max Planck Institute for the Science of Human History in Jena, equipped with a high resolution (4000 × 2600 pixel) X-ray sensitive CCD camera in the nanofocus mode. Scanning parameters for the extant taxa are summarized in Table 2 of the related article.
DOI: 10.5281/zenodo.5825696
title: Data to "The first reconstruction of the head anatomy of a Cretaceous insect, †Gerontoformica gracilis (Hymenoptera, Formicidae), and the early evolution of ants"

description: Data to Richter et al. 2022 "The first reconstruction of the head anatomy of a Cretaceous insect, †Gerontoformica gracilis (Hymenoptera, Formicidae), and the early evolution of ants" in Insect Systematics and Diversity.<br> The dataset contains PDFs of ACCTRAN and DELTRAN parsimony reconstructions of character evolution, image and data files of an anlysis of mandibular muscle fiber lengths, a ORS Dragonfly file containing the segmentation of head structures of †Gerontoformica gracilis, the focal study object of the article, and 4µCT scans of wasps used as outgroups in the study. Details of these µCT scans can be found in the methods section of the related article. The scans are provided in 2D TIF files and represent datasets cropped to just the head and transformed to align the main head axes with the viewing planes, and resampled with a bin 2x2x2 in ImageJ for easier data handling, as they were used in the article. The scan files also include scan parameter log files; importantly, due to binning, the given camera pixel size has to be multiplied by 2.<br> The datasets cover <em>Parischnogaster</em> sp. (de Saussure, 1852) (Hymenoptera, Vespidae), <em>Methocha</em> sp.(Hymenoptera, Thynnidae), <em>Ampulex</em> sp. (Fabricius, 1781) (Hymenoptera, Ampulicidae), and <em>Sceliphron caementarium</em> (Drury, 1773) (Hymenoptera, Sphecidae).<br> All taxa were stained in a 2% iodine solution in ethanol for a week prior to scanning. They were transferred to a sealed off pipette tip of appropriate size filled with ethanol and mounted on a metal sample holder. They were scanned at a SkyScan 2211 (Bruker, Billerica, USA) at the Max Planck Institute for the Science of Human History in Jena, equipped with a high resolution (4000 × 2600 pixel) X-ray sensitive CCD camera in the nanofocus mode. Scanning parameters for the extant taxa are summarized in Table 2 of the related article.
DOI: 10.6084/m9.figshare.21221015
title: Offspring plumage colouration as a condition-dependent signal in the blue tit

description: Datasets: 1. Nestling dataset contains a dataset of individual data of nestlings sampled during three consecutive breeding seasons. <br> 2. Nest dataset contains a dataset of the mean values of nestlings per nest (mean of the variables of the nestlings raised in the same nest) during three consecutive breeding seasons. nestling colouration, quality, honest signalling, condition dependence, UV colouration, sex differences, carotenoids
DOI: 10.6084/m9.figshare.21221015.v1
title: Offspring plumage colouration as a condition-dependent signal in the blue tit

description: Datasets: 1. Nestling dataset contains a dataset of individual data of nestlings sampled during three consecutive breeding seasons. <br> 2. Nest dataset contains a dataset of the mean values of nestlings per nest (mean of the variables of the nestlings raised in the same nest) during three consecutive breeding seasons. nestling colouration, quality, honest signalling, condition dependence, UV colouration, sex differences, carotenoids
DOI: 10.18170/dvn/x9nkgr
title: 全球价值链中的结构性权力与国际格局演变

description: 庞珣、何晴倩：“全球价值链中的结构性权力与国际格局演变”，《中国社会科学》，2021. 全球价值链的增加值深层结构产生了结构性权力，其分布情况和变化趋势从经济层面映射出国际格局的重要特征和演进态势。基于联合国贸发会议的跨国投入产出表数据对结构性权力进行测量和分析，结果发现全球价值链呈现出国际格局的“多极”特征和“多极化”趋势，表现为结构性权力在主要大国之间较为分散，中国的迅速崛起和德国的稳固领先凸显了美国霸权的持续衰落。国际格局的总体式样和变化可以概括为“中心—边缘”的高度等级分化和“东升西降”的格局走势，体系边缘国家被进一步边缘化的趋势值得特别关注。面对当前地缘政治回归和民粹主义泛起等全球性挑战，将结构性权力用作塑造结构和扩展可能性边界的积极力量，同时防止将其用作国家间对抗的新武器，对于稳定国际体系和构建新型国际关系意义重大。
DOI: 10.18170/dvn/i2begb
title: 国际金融的“赫希曼效应”

description: 本文聚焦于中国货币互换协定的国际政治影响，根据协定在相互依存和风险信息两个维度上的不对称性特质，重新审视关于国际经济关系会带来外交 立场接近的“赫希曼效应”，强调互换协定的塑造性权力以及信号传递实践开启的认 同塑造和互信构建进程。 在理论分析的基础上，作者采用定量和定性相结合的方法进 行实证探索。 回归分析运用混合效应模型对 191 个国家在 2009—2018 年的数据进行 假设检验，在普遍性上支持了中国货币互换协定会产生“赫希曼效应”。 作者以阿根 廷为案例进行的定性研究，使用合成控制法提高案例研究在比较分析上的客观性和因 果分析上的严密性，追踪和解释了“赫希曼效应”在方向和程度上的动态变化。
DOI: 10.5281/zenodo.7092201
title: Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood: Additional data

description: Contains data used in the following publication: Felix Neff, Jonas Hagge, Rafael Achury, Didem Ambarlı, Christian Ammer, Peter Schall, Sebastian Seibold, Michael Staab, Wolfgang W. Weisser, Martin M. Gossner (2022). <em>Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood. </em>Functional Ecology. https://doi.org/10.1111/1365-2435.14186 These are complementary data, which are needed to reproduce the analyses. Most data are archived in the Biodiversity Exploratories Information System (https://doi.org/10.17616/R32P9Q). The following data are included: <strong>BELongDead_Subplots_Normal.csv</strong>: List of <em>normal</em> subplots within the BELongDead projects (only these were included in the analyses) <strong>Body_length.csv</strong>: Body length data for study species assembled from Freude et al. (1965-1998) <strong>Lightness_completion.csv</strong>: Colour lightness recorded from measured individuals and photos from coleonet.de (Lompe, 2002) <strong>Name_standardisation.csv</strong>: Dataset used to standardise taxonomic names from different sources <strong>Saproxylic_species_sub.csv</strong>: List of saproxylic species (according to Schmidl & Bussler (2004)), which were recorded in the project <strong>Similar_Species.csv</strong>: List of similar species for species with missing traits. Based on these, missing traits were estimated <strong>References</strong> Freude, H., Harde, K. W., & Lohse, G. A. (1965–1998). <em>Die Käfer Mitteleuropas Band 1-15</em>. Goecke und Evers. Lompe, A. (2002). <em>Käfer Europas</em>. http://coleonet.de/ Schmidl, J., & Bussler, H. (2004). Ökologische Gilden xylobionter Käfer Deutschlands. <em>Naturschutz und Landschaftsplanung</em>, <em>36</em>(7), 202–218.
DOI: 10.5281/zenodo.7092200
title: Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood: Additional data

description: Contains data used in the following publication: Felix Neff, Jonas Hagge, Rafael Achury, Didem Ambarlı, Christian Ammer, Peter Schall, Sebastian Seibold, Michael Staab, Wolfgang W. Weisser, Martin M. Gossner (2022). <em>Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood. </em>Functional Ecology. https://doi.org/10.1111/1365-2435.14186 These are complementary data, which are needed to reproduce the analyses. Most data are archived in the Biodiversity Exploratories Information System (https://doi.org/10.17616/R32P9Q). The following data are included: <strong>BELongDead_Subplots_Normal.csv</strong>: List of <em>normal</em> subplots within the BELongDead projects (only these were included in the analyses) <strong>Body_length.csv</strong>: Body length data for study species assembled from Freude et al. (1965-1998) <strong>Lightness_completion.csv</strong>: Colour lightness recorded from measured individuals and photos from coleonet.de (Lompe, 2002) <strong>Name_standardisation.csv</strong>: Dataset used to standardise taxonomic names from different sources <strong>Saproxylic_species_sub.csv</strong>: List of saproxylic species (according to Schmidl & Bussler (2004)), which were recorded in the project <strong>Similar_Species.csv</strong>: List of similar species for species with missing traits. Based on these, missing traits were estimated <strong>References</strong> Freude, H., Harde, K. W., & Lohse, G. A. (1965–1998). <em>Die Käfer Mitteleuropas Band 1-15</em>. Goecke und Evers. Lompe, A. (2002). <em>Käfer Europas</em>. http://coleonet.de/ Schmidl, J., & Bussler, H. (2004). Ökologische Gilden xylobionter Käfer Deutschlands. <em>Naturschutz und Landschaftsplanung</em>, <em>36</em>(7), 202–218.
DOI: 10.5281/zenodo.7115398
title: Water and Wind Erosion in Australia during the past two decades

description: Datesets of water and wind erosion in Australia using RUSLE and RWEQ model during the past two decades
DOI: 10.5281/zenodo.7115399
title: Water and Wind Erosion in Australia during the past two decades

description: Datesets of water and wind erosion in Australia using RUSLE and RWEQ model during the past two decades
DOI: 10.20387/bonares-3nqn-41vn
title: Data collection LTE Seehausen - Table: Plot
DOI: 10.25318/3310055401-eng
title: Likelihood business or organization will adopt automation and digital technologies which may reduce employment hiring over the next 12 months, third quarter of 2022

description: Likelihood business or organization will adopt automation and digital technologies which may reduce employment hiring over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055401-fra
title: Probabilité que les entreprises ou les organismes adoptent des technologies d’automatisation et des technologies numériques qui pourraient réduire l’embauche au cours des 12 prochains mois, troisième trimestre de 2022

description: Probabilité que les entreprises ou les organismes adoptent des technologies d’automatisation et des technologies numériques qui pourraient réduire l’embauche au cours des 12 prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310055501-eng
title: Level of challenge in meeting an increase in demand for the business or organization over the next three months, third quarter of 2022

description: Level of challenge in meeting an increase in demand for the business or organization over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055501-fra
title: Mesure dans laquelle répondre à une plus grande demande serait un défi pour les entreprises ou les organismes au cours des trois prochains mois, troisième trimestre de 2022

description: Mesure dans laquelle répondre à une plus grande demande serait un défi pour les entreprises ou les organismes au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310055601-eng
title: Average yearly growth expected by businesses or organizations over the next three years, third quarter of 2022

description: Average yearly growth expected by businesses or organizations over the next three years, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055601-fra
title: Croissance annuelle moyenne prévue par les entreprises ou organismes au cours des trois prochaines années, troisième trimestre de 2022

description: Croissance annuelle moyenne prévue par les entreprises ou organismes au cours des trois prochaines années, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310055701-eng
title: Reasons business or organization is not expecting any growth over the next three years, third quarter of 2022

description: Reasons business or organization is not expecting any growth over the next three years, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055701-fra
title: Raisons pour lesquelles les entreprises ou les organismes ne prévoient pas de croissance au cours des trois prochaines années, troisième trimestre de 2022

description: Raisons pour lesquelles les entreprises ou les organismes ne prévoient pas de croissance au cours des trois prochaines années, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.34740/kaggle/dsv/4259969
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25318/3310055801-eng
title: COVID-19 Rapid Test kit usage over the last month, third quarter of 2022

description: COVID-19 Rapid Test kit usage over the last month, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055801-fra
title: Utilisation des trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, troisième trimestre de 2022

description: Utilisation des trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310055901-eng
title: Percentage of on-site employees tested with COVID-19 Rapid Test kits at least once over the last month, third quarter of 2022

description: Percentage of on-site employees tested with COVID-19 Rapid Test kits at least once over the last month, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310055901-fra
title: Pourcentage d’employés sur place testés au moyen des trousses de test de dépistage rapide de la COVID-19 au moins une fois au cours du dernier mois, troisième trimestre de 2022

description: Pourcentage d’employés sur place testés au moyen des trousses de test de dépistage rapide de la COVID-19 au moins une fois au cours du dernier mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.5281/zenodo.7119240
title: gallinago_gallinago_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7119239
title: gallinago_gallinago_zanfona_1.fasta.gz

description: .
DOI: 10.25318/3310056001-eng
title: Frequency on-site employees were tested using COVID-19 Rapid Test kits over the last month, third quarter of 2022

description: Frequency on-site employees were tested using COVID-19 Rapid Test kits over the last month, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.5281/zenodo.7119277
title: gallinago_media_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7119276
title: gallinago_media_zanfona_1.fasta.gz

description: .
DOI: 10.25318/3310056001-fra
title: Fréquence à laquelle les employés sur place ont été testés au moyen des trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, troisième trimestre de 2022

description: Fréquence à laquelle les employés sur place ont été testés au moyen des trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310056101-eng
title: Benefits experienced from COVID-19 Rapid Test kit usage over the last month, third quarter of 2022

description: Benefits experienced from COVID-19 Rapid Test kit usage over the last month, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310056101-fra
title: Avantages liés à l’utilisation de trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, troisième trimestre de 2022

description: Avantages liés à l’utilisation de trousses de test de dépistage rapide de la COVID-19 au cours du dernier mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310056201-eng
title: Likelihood business or organization would continue to rapid test if they had to purchase COVID-19 Rapid Test kits, third quarter of 2022

description: Likelihood business or organization would continue to rapid test if they had to purchase COVID-19 Rapid Test kits, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310056201-fra
title: Probabilité que les entreprises ou les organismes continuent d’utiliser des tests de dépistage rapide s’ils devaient acheter les trousses de test de dépistage rapide de la COVID-19, troisième trimestre de 2022

description: Probabilité que les entreprises ou les organismes continuent d’utiliser des tests de dépistage rapide s’ils devaient acheter les trousses de test de dépistage rapide de la COVID-19, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.5517/ccdc.csd.cc29jc6f
title: CCDC 2130884: Experimental Crystal Structure Determination

description: Related Article: Kenta Rakumitsu, Miho Fujii, Sotaro Kusumoto, Shoko Kikkawa, Isao Azumaya, Akihiro Yokoyama|2022|RSC Advances|12|26411|doi:10.1039/D2RA04035B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.