cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00378
title: A dataset of biomass production of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) plantation (2007–2020)
title: 2007-2020年湖南会同杉木人工林生物量数据集

description: The area and volume of Chinese fir plantation is the largest in China. Based on a long-time biomass production observation on the Chinese fir plantation comprehensive observation field by Huitong National Forest Ecosystem Research Station, Hunan (Huitong Station). The dataset integrated annual biomass production of the Chinese fir plantation in Huitong Station in the period of 2007–2020, which both comprised the dry weight of trunk, branches, leaves, fruits (flowers), bark and aerial roots. The establishment and sharing of this dataset mainly provides data support for the biomass production research of Chinese fir plantation under the background of global change. It is of great significance to deeply understand the structural and functional characteristics of Chinese fir plantation ecosystem and formulate reasonable management measures of Chinese fir plantation.
description: The area and volume of Chinese fir plantation is the largest in China. Based on a long-time biomass production observation on the Chinese fir plantation comprehensive observation field by Huitong National Forest Ecosystem Research Station, Hunan (Huitong Station). The dataset integrated annual biomass production of the Chinese fir plantation in Huitong Station in the period of 2007–2020, which both comprised the dry weight of trunk, branches, leaves, fruits (flowers), bark and aerial roots. The establishment and sharing of this dataset mainly provides data support for the biomass production research of Chinese fir plantation under the background of global change. It is of great significance to deeply understand the structural and functional characteristics of Chinese fir plantation ecosystem and formulate reasonable management measures of Chinese fir plantation.
DOI: 10.57760/sciencedb.j00053.00008
title: Myocardial Injury Repair data
title: 心肌损伤检索式及论文和专利检索结果

description: This data set includes the retrieval formula and results of papers and patents on myocardial injury repair. Using this retrieval formula, 10870 papers related to myocardial injury repair were retrieved in the web of science database, and 1194 related patents were retrieved in the Derwent innovation database. The retrieval time is October 2020
description: This data set includes the retrieval formula and results of papers and patents on myocardial injury repair. Using this retrieval formula, 10870 papers related to myocardial injury repair were retrieved in the web of science database, and 1194 related patents were retrieved in the Derwent innovation database. The retrieval time is October 2020
DOI: 10.57760/sciencedb.j00104.00002
title: KB4Rec
title: KB4Rec

description: We released a linked dataset for research on knowledge-aware recommender systems: KB4Rec v1.0. It aims to associate items from recommender systems with entities from Freebase.
description: We released a linked dataset for research on knowledge-aware recommender systems: KB4Rec v1.0. It aims to associate items from recommender systems with entities from Freebase.
DOI: 10.57760/sciencedb.j00104.00091
title: Chinese Human-Computer Dialogue Technology dataset
title: Chinese Human-Computer Dialogue Technology dataset

description: There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence (AI). However, the evaluation of large-scale Chinese human-computer dialogues is still a challenging task. To attract more attention to dialogue evaluation work, we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology (ECDT). It consists of few-shot learning in spoken language understanding (SLU) (Task 1) and knowledge-driven multi-turn dialogue competition (Task 2), the data sets of which are provided by Harbin Institute of Technology and Tsinghua University.
description: There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence (AI). However, the evaluation of large-scale Chinese human-computer dialogues is still a challenging task. To attract more attention to dialogue evaluation work, we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology (ECDT). It consists of few-shot learning in spoken language understanding (SLU) (Task 1) and knowledge-driven multi-turn dialogue competition (Task 2), the data sets of which are provided by Harbin Institute of Technology and Tsinghua University.
DOI: 10.57760/sciencedb.j00104.00030
title: Virtual Knowledge Graphs: An Overview of Systems and Use Cases
title: Virtual Knowledge Graphs: An Overview of Systems and Use Cases

description: One table and one figure of this paper. Table 1 is a summary of use cases. Figure 1 shows the query answering by reformulation (conceptual workflow).
description: One table and one figure of this paper. Table 1 is a summary of use cases. Figure 1 shows the query answering by reformulation (conceptual workflow).
DOI: 10.57760/sciencedb.j00104.00053
title: Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management
title: Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management

description: Three tables and one figure of this paper. Table 1 is a summary of results of implementation of data sharing policies at Elsevier, 2017–2018. Over 2,200 journals were eligible for data sharing roll-out and their editors consulted for the advised policy to be instated. Table 2 shows deposition of data during manuscript submission to Mendeley Data Repository per subject category, 2017–2018. Table 3 is a roadmap to implement FAIR data support at Elsevier: high level overview of steps necessary to support FAIR data creation and sharing. Shaded cells (green to red) reﬂ ect if implementation is in the future (red) or already been initiated (yellow), or otherwise are live (green). Note that the status of these implementations is subject to change as we are continuously revising our implementations with input from all stakeholders in the research community. Figure 1 shows the “data Maslow hierarchy” visualizing the components of data sharing.
description: Three tables and one figure of this paper. Table 1 is a summary of results of implementation of data sharing policies at Elsevier, 2017–2018. Over 2,200 journals were eligible for data sharing roll-out and their editors consulted for the advised policy to be instated. Table 2 shows deposition of data during manuscript submission to Mendeley Data Repository per subject category, 2017–2018. Table 3 is a roadmap to implement FAIR data support at Elsevier: high level overview of steps necessary to support FAIR data creation and sharing. Shaded cells (green to red) reﬂ ect if implementation is in the future (red) or already been initiated (yellow), or otherwise are live (green). Note that the status of these implementations is subject to change as we are continuously revising our implementations with input from all stakeholders in the research community. Figure 1 shows the “data Maslow hierarchy” visualizing the components of data sharing.
DOI: 10.57760/sciencedb.j00104.00029
title: An Evaluation of Chinese Human-Computer Dialogue Technology
title: An Evaluation of Chinese Human-Computer Dialogue Technology

description: Seven tables of this paper. Table 1 shows an example of air ticket booking. Table 2 presents some examples in training set of Task 1. Table 3 shows statistics of the intent data set in Task 1. Table 4 presents the top 8 teams of Task 1 ranked by F1 score. Table 5 shows the top 5 teams of Task 2. Note: C denotes task completion ratio, T denotes average dialogue turns, Sa denotes user satisfaction score, F denotes fluency degree of response, and G denotes uncovered data guidance capability. All these indicators are average scores of all test cases. Table A1 is the complete leaderboard of Task 1 ranking by F1 score. Table A2 shows the complete leaderboard of Task 2. Note: C denotes task completion ratio, T denotes average dialogue turns, Sa denotes user satisfaction score, F denotes fluency degree of response, and G denotes uncovered data guidance capability. All these indicators are average scores of all test cases.
description: Seven tables of this paper. Table 1 shows an example of air ticket booking. Table 2 presents some examples in training set of Task 1. Table 3 shows statistics of the intent data set in Task 1. Table 4 presents the top 8 teams of Task 1 ranked by F1 score. Table 5 shows the top 5 teams of Task 2. Note: C denotes task completion ratio, T denotes average dialogue turns, Sa denotes user satisfaction score, F denotes fluency degree of response, and G denotes uncovered data guidance capability. All these indicators are average scores of all test cases. Table A1 is the complete leaderboard of Task 1 ranking by F1 score. Table A2 shows the complete leaderboard of Task 2. Note: C denotes task completion ratio, T denotes average dialogue turns, Sa denotes user satisfaction score, F denotes fluency degree of response, and G denotes uncovered data guidance capability. All these indicators are average scores of all test cases.
DOI: 10.5281/zenodo.7079580
title: OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan

description: OcWikiDisc is a freely available corpus in Occitan, extracted from the talk pages associated with the Occitan Wikipedia. The corpus contains messages posted by users in direct user-to-user interactions as part of the discussions about the content and the editing policies on Wikipedia. The messages are associated with metadata, such as the username, the date and time of the posting, the discussion title, etc. The corpus has also been annotated with tools for automatic language identification, allowing to filter out content in languages other than Occitan. Using different filtering strategies, four versions of the corpus are published (see documentation for more details). The version with the most restrictive filtering contains 8,000 messages for a total of 618,000 tokens, produced by 520 different users.
description: {"references": ["Aleksandra Mileti\u0107 and Yves Scherrer. 2022. OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan. In Proceedings of VarDial - Ninth Workshop on NLP for Similar Languages, Varieties and Dialects. (forthcoming)"]}
DOI: 10.5281/zenodo.7079579
title: OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan

description: OcWikiDisc is a freely available corpus in Occitan, extracted from the talk pages associated with the Occitan Wikipedia. The corpus contains messages posted by users in direct user-to-user interactions as part of the discussions about the content and the editing policies on Wikipedia. The messages are associated with metadata, such as the username, the date and time of the posting, the discussion title, etc. The corpus has also been annotated with tools for automatic language identification, allowing to filter out content in languages other than Occitan. Using different filtering strategies, four versions of the corpus are published (see documentation for more details). The version with the most restrictive filtering contains 8,000 messages for a total of 618,000 tokens, produced by 520 different users.
description: {"references": ["Aleksandra Mileti\u0107 and Yves Scherrer. 2022. OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan. In Proceedings of VarDial - Ninth Workshop on NLP for Similar Languages, Varieties and Dialects. (forthcoming)"]}
DOI: 10.57760/sciencedb.j00104.00066
title: Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR
title: Unique, Persistent, Resolvable: Identifiers as the Foundation of FAIR

description: The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem. Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data. Here we describe some basic principles and exemplars for their design, use and orchestration with other system elements to achieve FAIRness for digital research objects. Table 1 shows examples of FAIR digital identifiers.
description: The FAIR principles describe characteristics intended to support access to and reuse of digital artifacts in the scientific research ecosystem. Persistent, globally unique identifiers, resolvable on the Web, and associated with a set of additional descriptive metadata, are foundational to FAIR data. Here we describe some basic principles and exemplars for their design, use and orchestration with other system elements to achieve FAIRness for digital research objects. Table 1 shows examples of FAIR digital identifiers.
DOI: 10.57760/sciencedb.j00112.00010
title: EFFECTS OF STARVATION STRESS ON HEMOLYMPH PHYSIOLOGY AND INTESTINAL HEALTH OF PROCAMBARUS CLARKII
title: 饥饿胁迫对克氏原螯虾生理生化和肠道健康的影响

description: Procambarus clarkii originated from the south-central United States and northern Mexico. In the 1930s, it was introduced to China as a freshwater economic crustacean via Japan because of its good economic benefits and a characteristic industrial chain.As the consumption hotspot of P. clarkii to grow, fundamental researches on the cultivation of P. clarkii were incredibly important. At present, researchers carried out a large number of analysis on the effects of starvation on the physiology, endocrine, and digestive systems of crustacea To explore the effects of starvation stress on hemolymph physiological biochemical indexes, intestinal histology and intestinal flora of P. clarkii through histopathology, high-throughput sequencing and bioinformatics analysis techniques. P. clarkii was subjected to a 28-day starvation.nbsp;The results indicate that P. clarkii may adapt to the process of starvation metabolism by changing the energy material utilization pathways and the intestinal microbiological composition structure.
description: Procambarus clarkii originated from the south-central United States and northern Mexico. In the 1930s, it was introduced to China as a freshwater economic crustacean via Japan because of its good economic benefits and a characteristic industrial chain.As the consumption hotspot of P. clarkii to grow, fundamental researches on the cultivation of P. clarkii were incredibly important. At present, researchers carried out a large number of analysis on the effects of starvation on the physiology, endocrine, and digestive systems of crustacea To explore the effects of starvation stress on hemolymph physiological biochemical indexes, intestinal histology and intestinal flora of P. clarkii through histopathology, high-throughput sequencing and bioinformatics analysis techniques. P. clarkii was subjected to a 28-day starvation.nbsp;The results indicate that P. clarkii may adapt to the process of starvation metabolism by changing the energy material utilization pathways and the intestinal microbiological composition structure.
DOI: 10.57760/sciencedb.j00112.00018
title: The gene sequences of Xenocypridinae
title: 鲴亚科基因序列

description: 80 sequence samples were collected, involving 12 individuals. It contains two mitochondrial genes: cytochrome oxidase subunit I (CO ⅰ), cytochrome b (Cyt b), and five single copy nuclear genes: early growth response genes 1 and 2B (EGR1 and egr2b) Photoreceptor retinal binding protein (IRBP), recombination activating 2 (RAG2), rhodopsin 1 (Rh1). Take the muscle or fin of fish from each sample for DNA extraction and sequencing. Select the DNA extraction kit of Tiangen biochemical technology (Beijing) Co., Ltd. to process the collected muscle and fin tissue to obtain the whole genome DNA of the sample, and then use it for PCR amplification, All PCR products were tested and purified by 1% agarose gel electrophoresis and sequenced by Wuhan Ai Kangjian Biotechnology Co., Ltd. Double ended sequencing results were spliced using seqman (DNAStar, Madison, WI, USA).
description: 80 sequence samples were collected, involving 12 individuals. It contains two mitochondrial genes: cytochrome oxidase subunit I (CO ⅰ), cytochrome b (Cyt b), and five single copy nuclear genes: early growth response genes 1 and 2B (EGR1 and egr2b) Photoreceptor retinal binding protein (IRBP), recombination activating 2 (RAG2), rhodopsin 1 (Rh1). Take the muscle or fin of fish from each sample for DNA extraction and sequencing. Select the DNA extraction kit of Tiangen biochemical technology (Beijing) Co., Ltd. to process the collected muscle and fin tissue to obtain the whole genome DNA of the sample, and then use it for PCR amplification, All PCR products were tested and purified by 1% agarose gel electrophoresis and sequenced by Wuhan Ai Kangjian Biotechnology Co., Ltd. Double ended sequencing results were spliced using seqman (DNAStar, Madison, WI, USA).
DOI: 10.57760/sciencedb.j00116.00004
title: Associated data underlying the paper:Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis
title: Associated data underlying the paper:Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis

description: These data sets are the analysis files used in article ''Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis'', obtained from public databases GEO and TCGA respectively. It contains 6 Excel files, which are described below：GSE63514.xlsx: The expression data of tumor group and control group in dataset GSE63514 were included.GSE9750.xlsx: The expression data of tumor group and control group in dataset GSE9750 were included.GEO-merge.xlsx: Data sets GSE63514 and GSE9750 were merged and standardized to obtain the total expression data.Clinical.xlsx: Clinical data of CESC patients in TCGA database.TCGA_RPKM.xlsx：The expression data of CESC patients (FPKM) in TCGA database was transformed into RPKM expression data by R software.Genelist.xlsx: It contains differentially expressed genes, genes of the most relevant modules in WGCNA, and a list of four part intersection genes.
description: These data sets are the analysis files used in article ''Identification of Hub Genes Associated With Cervical Cancer by Integrated Bioinformatics Analysis'', obtained from public databases GEO and TCGA respectively. It contains 6 Excel files, which are described below：GSE63514.xlsx: The expression data of tumor group and control group in dataset GSE63514 were included.GSE9750.xlsx: The expression data of tumor group and control group in dataset GSE9750 were included.GEO-merge.xlsx: Data sets GSE63514 and GSE9750 were merged and standardized to obtain the total expression data.Clinical.xlsx: Clinical data of CESC patients in TCGA database.TCGA_RPKM.xlsx：The expression data of CESC patients (FPKM) in TCGA database was transformed into RPKM expression data by R software.Genelist.xlsx: It contains differentially expressed genes, genes of the most relevant modules in WGCNA, and a list of four part intersection genes.
DOI: 10.57760/sciencedb.j00104.00041
title: CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base
title: CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base

description: Three tables and eight figures of this paper. Table 1 shows the F1 scores on slot filling benchmark TAC data set (development (dev) set: data from 2012/2013, evaluation (eval) set: data from 2014). Table 2 shows fact types in CN-DBpedia2, as well as changes compared to CN-DBpedia. Table 3 presents the top 20 concepts and the number of entities included in CN-DBpedia2, as well as changes compared to CN-DBpedia. Figure 1 shows system architecture of CN-DBpedia2. Note: It is an extension of CN-DBpedia, and the dotted components are new features. Figure 2 presents the detail of enrichment component in CN-DBpedia2. Figure 3 is the framework of METIC, a multi-instance method for entity typing from unstructured features. Figure 4 shows a neural network model for mention typing. Figure 5 is a framework of METIH, a multi-instance method for entity typing from heterogeneous features. Figure 6 shows network structures of the multiple-predicate extractor. Figure 7 presents an example of CAPTCHA. Note: In this case, the answer is “overlooks inquiry”. Figure 8 is an example of our rcCAPTCHA system. Note: The word marked in yellow is the correct answer.
description: Three tables and eight figures of this paper. Table 1 shows the F1 scores on slot filling benchmark TAC data set (development (dev) set: data from 2012/2013, evaluation (eval) set: data from 2014). Table 2 shows fact types in CN-DBpedia2, as well as changes compared to CN-DBpedia. Table 3 presents the top 20 concepts and the number of entities included in CN-DBpedia2, as well as changes compared to CN-DBpedia. Figure 1 shows system architecture of CN-DBpedia2. Note: It is an extension of CN-DBpedia, and the dotted components are new features. Figure 2 presents the detail of enrichment component in CN-DBpedia2. Figure 3 is the framework of METIC, a multi-instance method for entity typing from unstructured features. Figure 4 shows a neural network model for mention typing. Figure 5 is a framework of METIH, a multi-instance method for entity typing from heterogeneous features. Figure 6 shows network structures of the multiple-predicate extractor. Figure 7 presents an example of CAPTCHA. Note: In this case, the answer is “overlooks inquiry”. Figure 8 is an example of our rcCAPTCHA system. Note: The word marked in yellow is the correct answer.
DOI: 10.57760/sciencedb.j00104.00064
title: The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans
title: The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans

description: Six figures of this paper. Figure 1 shows cumulative data availability statements (left) and approximate cumulative number of submissions (right) from August 2012 to October 2019. The number of data availability statements increased dramatically in the first half of 2019. Figure 2 is visualization of the topics estimated by the LDA using pyLDAvis. Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 3 shows topic distribution by percentage. Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 4 shows document/topic matrix for the first 50 documents in the data set. Topic weighting ranges from low (blue) to high (red). Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 5 presents word/topic matrix for the 20 most popular overall words in the data set. Topic weighting ranges from low (blue) to high (red). Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 6 shows growth of individual topics over time. Interactive plots available at DOI: 10.22541/au.157253515.58528497.
description: Six figures of this paper. Figure 1 shows cumulative data availability statements (left) and approximate cumulative number of submissions (right) from August 2012 to October 2019. The number of data availability statements increased dramatically in the first half of 2019. Figure 2 is visualization of the topics estimated by the LDA using pyLDAvis. Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 3 shows topic distribution by percentage. Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 4 shows document/topic matrix for the first 50 documents in the data set. Topic weighting ranges from low (blue) to high (red). Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 5 presents word/topic matrix for the 20 most popular overall words in the data set. Topic weighting ranges from low (blue) to high (red). Interactive plots available at DOI: 10.22541/au.157253515.58528497. Figure 6 shows growth of individual topics over time. Interactive plots available at DOI: 10.22541/au.157253515.58528497.