cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00311
title: An image dataset for IDADP-grape disease identification
title: IDADP-葡萄病害识别研究图像数据集

description: Building an image dataset for machine learning modeling is very important for efficiently identifying agricultural diseases and pests. Therefore, we have constructed an image dataset for agricultural diseases and pests research (IDADP) which covers such aspects of agricultural diseases and pests as image acquisition, classification, labeling, storage and modeling. Meanwhile, this image dataset provides online diagnosis of agricultural diseases and related technical consultation services for scholars and agricultural technicians. The grape disease dataset has about 45.4 GB, and 7 high-quality disease images such as powdery mildew and downy mildew, a total of 3622 images. As a standard dataset for machine learning modeling in large data environment, this image dataset will provide valuable basic data resources. And it has important applicability in promoting the development of agricultural disease identification.
description: Building an image dataset for machine learning modeling is very important for efficiently identifying agricultural diseases and pests. Therefore, we have constructed an image dataset for agricultural diseases and pests research (IDADP) which covers such aspects of agricultural diseases and pests as image acquisition, classification, labeling, storage and modeling. Meanwhile, this image dataset provides online diagnosis of agricultural diseases and related technical consultation services for scholars and agricultural technicians. The grape disease dataset has about 45.4 GB, and 7 high-quality disease images such as powdery mildew and downy mildew, a total of 3622 images. As a standard dataset for machine learning modeling in large data environment, this image dataset will provide valuable basic data resources. And it has important applicability in promoting the development of agricultural disease identification.
DOI: 10.57760/sciencedb.j00001.00358
title: Data set for Chinese text automatic generation task
title: 面向中文文本自动生成任务的数据集

description: The dataset is stored in the excel table format of CSV attribute, which mainly describes the information of the restaurant. It is composed of 17457 key value pairs and 17246 human language references. Each MR is composed of 3-8 Chinese key value pairs, such as name, food or region and their values, as shown in Table 3. Among them, 15568 texts were used for training, 1678 texts were used for verification, and the remaining 211 texts were used for testing. Each set of key value pairs in the training set and verification set has multiple human language reference texts, which aims to create more natural, informative and diverse human references than Mr. After a series of data processing, including collection, cleaning, translation, screening and sorting, the parallel corpus of Chinese key value pairs is finally constructed manually.The dataset includes three data files, including: (1) trainset CSV is the training set data, with a data volume of 15568 cases; (2) devset. CSV is the validation set data, with a data volume of 1678 cases; (3) testset. CSV is the test set data, with 211 cases of dataEach instance of training set and verification set consists of key value pair group and human reference text, and the instances of test set only have key value pair group.
description: The dataset is stored in the excel table format of CSV attribute, which mainly describes the information of the restaurant. It is composed of 17457 key value pairs and 17246 human language references. Each MR is composed of 3-8 Chinese key value pairs, such as name, food or region and their values, as shown in Table 3. Among them, 15568 texts were used for training, 1678 texts were used for verification, and the remaining 211 texts were used for testing. Each set of key value pairs in the training set and verification set has multiple human language reference texts, which aims to create more natural, informative and diverse human references than Mr. After a series of data processing, including collection, cleaning, translation, screening and sorting, the parallel corpus of Chinese key value pairs is finally constructed manually.The dataset includes three data files, including: (1) trainset CSV is the training set data, with a data volume of 15568 cases; (2) devset. CSV is the validation set data, with a data volume of 1678 cases; (3) testset. CSV is the test set data, with 211 cases of dataEach instance of training set and verification set consists of key value pair group and human reference text, and the instances of test set only have key value pair group.
DOI: 10.57760/sciencedb.j00104.00006
title: GeoLink
title: GeoLink

description: The data set consists of two ontologies, the GeoLink Base Ontology (GBO) and the GeoLink Modular Ontology (GMO), as well as a manually created reference alignment that was developed in consultation with domain experts from different institutions. The alignment includes 1:1, 1:n, and m:n equivalence and subsumption correspondences, and is available in both Expressive and Declarative Ontology Alignment Language (EDOAL) and rule syntax. The benchmark has been expanded from its original version to contain real-world instance data from seven geoscience data providers that has been published according to both ontologies. This allows it to be used by extensional alignment systems or those that require training data. This benchmark has been incorporated into the Ontology Alignment Evaluation Initiative (OAEI) complex track to help researchers test their automated alignment systems and algorithms. This paper also analyzes the challenges inherent in effectively generating, detecting, and evaluating complex ontology alignments and provides a road map for future work on this topic.
description: The data set consists of two ontologies, the GeoLink Base Ontology (GBO) and the GeoLink Modular Ontology (GMO), as well as a manually created reference alignment that was developed in consultation with domain experts from different institutions. The alignment includes 1:1, 1:n, and m:n equivalence and subsumption correspondences, and is available in both Expressive and Declarative Ontology Alignment Language (EDOAL) and rule syntax. The benchmark has been expanded from its original version to contain real-world instance data from seven geoscience data providers that has been published according to both ontologies. This allows it to be used by extensional alignment systems or those that require training data. This benchmark has been incorporated into the Ontology Alignment Evaluation Initiative (OAEI) complex track to help researchers test their automated alignment systems and algorithms. This paper also analyzes the challenges inherent in effectively generating, detecting, and evaluating complex ontology alignments and provides a road map for future work on this topic.
DOI: 10.57760/sciencedb.j00104.00009
title: SMP2018ECD
title: SMP2018ECD

description: The Second Evaluation of Chinese Human-Computer Dialogue Technology, which focuses on the identification of a user’s intents and intelligent processing of intent words. The Evaluation consists of user intent classification (Task 1) and online testing of task-oriented dialogues (Task 2), the data sets of which are provided by iFLYTEK Corporation.
description: The Second Evaluation of Chinese Human-Computer Dialogue Technology, which focuses on the identification of a user’s intents and intelligent processing of intent words. The Evaluation consists of user intent classification (Task 1) and online testing of task-oriented dialogues (Task 2), the data sets of which are provided by iFLYTEK Corporation.
DOI: 10.57760/sciencedb.j00104.00017
title: Constructing and Cleaning Identity Graphs in the LOD Cloud
title: Constructing and Cleaning Identity Graphs in the LOD Cloud

description: This data set contains all the 49 million non-singleton equivalence classes resulting from the transitive closure of over 556 million owl:sameAs statements extracted from the LOD Cloud in the 2015 LOD Laundromat crawl. In addition to the closure of all owl:sameAs links, this data set contains an additional two transitive closures: closure_099 representing the closure of these owl:sameAs links after discarding around 1 million links with an error degree &gt;0.99, and closure_04 after discarding around 150 million links with an error degree &gt;0.4. This error degree and our choice for the subsets are described in the paper "Constructing and Cleaning Identity Graphs in the LOD Cloud" published in the Data Intelligence journal.
description: This data set contains all the 49 million non-singleton equivalence classes resulting from the transitive closure of over 556 million owl:sameAs statements extracted from the LOD Cloud in the 2015 LOD Laundromat crawl. In addition to the closure of all owl:sameAs links, this data set contains an additional two transitive closures: closure_099 representing the closure of these owl:sameAs links after discarding around 1 million links with an error degree &gt;0.99, and closure_04 after discarding around 150 million links with an error degree &gt;0.4. This error degree and our choice for the subsets are described in the paper "Constructing and Cleaning Identity Graphs in the LOD Cloud" published in the Data Intelligence journal.
DOI: 10.57760/sciencedb.j00001.00351
title: TibetanQA: Tibetan Dataset for Machine Reading Comprehension
title: 面向机器阅读理解的藏文数据集TibetanQA

description: This paper constructs a dataset for Tibetan machine reading comprehension. The data comes from Yunzang website, and covers 12 fields of nature, culture, education, geography, history, life, society, art, technology, people, science and sports. The questions and answers of the dataset are manually entered and marked by 20 Tibetan professionals. It contains 631 articles, 903 paragraphs, and 2,000 question-and-answer pairs constructed based on the paragraphs. Data items mainly include article ID, title, paragraph, question and answer. The publication of this dataset is of great value for promoting the development of Tibetan information processing.
description: This paper constructs a dataset for Tibetan machine reading comprehension. The data comes from Yunzang website, and covers 12 fields of nature, culture, education, geography, history, life, society, art, technology, people, science and sports. The questions and answers of the dataset are manually entered and marked by 20 Tibetan professionals. It contains 631 articles, 903 paragraphs, and 2,000 question-and-answer pairs constructed based on the paragraphs. Data items mainly include article ID, title, paragraph, question and answer. The publication of this dataset is of great value for promoting the development of Tibetan information processing.
DOI: 10.57760/sciencedb.j00052.00001
title: empathy
title: 共情数据

description: EEG study data on empathy and musical emotion recognition
description: EEG study data on empathy and musical emotion recognition
DOI: 10.57760/sciencedb.j00053.00005
title: Articles of Quantum Sensing
title: 量子传感科技论文

description: In the SCI-Expanded and CPCI-S sub libraries of Web of Science, quantum sensor and quantum sensing were used as subject words for retrieval, supplemented by manual interpretation. Finally, 770 articles were selected (retrieval date: January 11, 2021). The subject words include the application of weight subsystem, quantum characteristics and quantum phenomena. Therefore, this data set pays more attention to the application research of quantum sensing than the basic research.
description: In the SCI-Expanded and CPCI-S sub libraries of Web of Science, quantum sensor and quantum sensing were used as subject words for retrieval, supplemented by manual interpretation. Finally, 770 articles were selected (retrieval date: January 11, 2021). The subject words include the application of weight subsystem, quantum characteristics and quantum phenomena. Therefore, this data set pays more attention to the application research of quantum sensing than the basic research.
DOI: 10.57760/sciencedb.j00053.00007
title: Myocardial Injury Repair data
title: 心肌损伤检索式

description: This data set includes the retrieval formula 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 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.j00053.00017
title: Patent Cooperation Data of Intelligent Connected Vehicle Industry
title: 智能网联汽车产业专利合作数据

description: This paper uses the "incoPat" patent retrieval platform as the data source to retrieve the patent data applied by the innovative entities in the intelligent network automobile industry from 1985 to 2021, and uses the social network analysis method to build a patent cooperation network. and other indicators to measure and analyze the evolution of the patent cooperation network in the intelligent networked automobile industry. Finally, a total of 8084 pieces of patent information were retrieved. After screening and cleaning, 478 pieces of cooperative patent data that met the conditions were finally obtained.
description: This paper uses the "incoPat" patent retrieval platform as the data source to retrieve the patent data applied by the innovative entities in the intelligent network automobile industry from 1985 to 2021, and uses the social network analysis method to build a patent cooperation network. and other indicators to measure and analyze the evolution of the patent cooperation network in the intelligent networked automobile industry. Finally, a total of 8084 pieces of patent information were retrieved. After screening and cleaning, 478 pieces of cooperative patent data that met the conditions were finally obtained.
DOI: 10.57760/sciencedb.j00076.00066
title: Snow and ice thickness in Prydz Bay, East Antarctic, derived from Fast Ice Prediction System (FIPS) and field observations
title: Snow and ice thickness in Prydz Bay, East Antarctic, derived from Fast Ice Prediction System (FIPS) and field observations

description: Snow and ice thickness products in Prydz Bay, East Antarctic, derived from Fast Ice Prediction System (FIPS) and field observations were described in this paper. This new FIPS version comprised a newly-developed snowdrift parameterization and was forced by the European Centre for Medium-Range Weather Forecasting (ECMWF) ERA-Interim reanalysis. The simulation domain was configured to 720 grid cells with a spatial resolution of 0.125°, covering the entire fast ice region in Prydz Bay. Field observations in Prydz Bay were conducted at the fast ice site near Zhongshan Station. Snow and ice thickness were measured manually by the wintering team and the visit frequency was around one weekly. Both FIPS products and field observations introduced here were from 2012 to 2016. FIPS products were primarily assessed with the field observations, and the results showed a mean bias of 0.001±0.07 m and 0.23±0.09 m for snow and ice thickness, respectively. The comparisons indicated that FIPS products has a good quality and can be used as a basic dataset for sea ice thermodynamic analysis, remote sensing validation and icebreaker navigation assessments.
description: Snow and ice thickness products in Prydz Bay, East Antarctic, derived from Fast Ice Prediction System (FIPS) and field observations were described in this paper. This new FIPS version comprised a newly-developed snowdrift parameterization and was forced by the European Centre for Medium-Range Weather Forecasting (ECMWF) ERA-Interim reanalysis. The simulation domain was configured to 720 grid cells with a spatial resolution of 0.125°, covering the entire fast ice region in Prydz Bay. Field observations in Prydz Bay were conducted at the fast ice site near Zhongshan Station. Snow and ice thickness were measured manually by the wintering team and the visit frequency was around one weekly. Both FIPS products and field observations introduced here were from 2012 to 2016. FIPS products were primarily assessed with the field observations, and the results showed a mean bias of 0.001±0.07 m and 0.23±0.09 m for snow and ice thickness, respectively. The comparisons indicated that FIPS products has a good quality and can be used as a basic dataset for sea ice thermodynamic analysis, remote sensing validation and icebreaker navigation assessments.
DOI: 10.57760/sciencedb.j00104.00004
title: AMiner
title: AMiner

description: AMiner (aminer.org) aims to provide comprehensive search and mining services for researcher social networks. The system focuses on: (1) creating a semantic-based profile for each researcher by extracting information from the distributed Web; (2) integrating academic data (e.g., the bibliographic data and the researcher profiles) from multiple sources; (3) accurately searching the heterogeneous network; (4) analyzing and discovering interesting patterns from the built researcher social network. The main search and analysis functions in AMiner include: profile search, expert finding, conference analysis, course search, sub-graph search, topic browser, academic ranks, and user management.
description: AMiner (aminer.org) aims to provide comprehensive search and mining services for researcher social networks. The system focuses on: (1) creating a semantic-based profile for each researcher by extracting information from the distributed Web; (2) integrating academic data (e.g., the bibliographic data and the researcher profiles) from multiple sources; (3) accurately searching the heterogeneous network; (4) analyzing and discovering interesting patterns from the built researcher social network. The main search and analysis functions in AMiner include: profile search, expert finding, conference analysis, course search, sub-graph search, topic browser, academic ranks, and user management.
DOI: 10.57760/sciencedb.j00001.00356
title: Chinese-Mongolian、Uyghur-Chinese Speech Translation Database
title: 中-蒙和维-汉语音翻译数据集

description: At present, there are few public data sets for speech translation, especially those related to Chinese. The development of end-to-end speech translation is limited by resources.Referring to the research idea of international speech translation data sets, this paper uses the public speech recognition data sets (AISHELL and THUYG-20) to convert them into speech translation data sets through machine translation. After data processing, they are reviewed and verified by experts, so as to obtain high-quality speech translation data sets.The data set includes Sino Mongolian speech translation data set and Uygur Chinese speech translation data set, and the audio sampling rate is 16kHz. The Sino Mongolian speech translation dataset contains 1919 samples with a size of 238MB. The Uygur Chinese speech translation data set contains 3692 samples with a size of 652MB.This data set can be used for the research of end-to-end speech translation, and provides some data support for exploring the speech translation of Chinese and minority languages.Because the data set has been reviewed and verified by experts, it can also be combined with speech recognition data set to study machine translation.
description: At present, there are few public data sets for speech translation, especially those related to Chinese. The development of end-to-end speech translation is limited by resources.Referring to the research idea of international speech translation data sets, this paper uses the public speech recognition data sets (AISHELL and THUYG-20) to convert them into speech translation data sets through machine translation. After data processing, they are reviewed and verified by experts, so as to obtain high-quality speech translation data sets.The data set includes Sino Mongolian speech translation data set and Uygur Chinese speech translation data set, and the audio sampling rate is 16kHz. The Sino Mongolian speech translation dataset contains 1919 samples with a size of 238MB. The Uygur Chinese speech translation data set contains 3692 samples with a size of 652MB.This data set can be used for the research of end-to-end speech translation, and provides some data support for exploring the speech translation of Chinese and minority languages.Because the data set has been reviewed and verified by experts, it can also be combined with speech recognition data set to study machine translation.
DOI: 10.57760/sciencedb.j00001.00406
title: Monthly air temperature dataset at 1-km spatial resolution over the Tibetan Plateau from 2001 to 2020 derived from MODIS
title: 基于MODIS数据的青藏高原2001-2020年1km分辨率逐月气温数据集

description: The Tibetan Plateau has experienced a rapid climate warming in recent years, which is a hot issue of global change research. However, the meteorological stations are sparsely and unevenly distributed in the Tibetan Plateau, which influences the spatial representativeness of meteorological data on the climate change of the whole plateau. Satellite remote sensing provides a new approach to monitor the climate change at large scale. This paper aims to develop a 1-km resolution monthly air temperature dataset during 2001-2020 over the Tibetan Plateau by remote sensing. First, the monthly daytime land surface temperature, monthly nighttime land surface temperature, monthly clear sky days, monthly surface albedo, monthly NDVI, monthly NDSI, altitude, astronomical radiation radiance and CTI were derived from MODIS, DEM and CTI datasets. Cubist was employed to develop models for estimating monthly average, maximum and minimum air temperature, and the optimal models were determined by cross-validation and parameter tuning. The developed dataset is helpful for further understanding of the climate change of the Tibetan Plateau, and can also provide important database for the climate change research on the Tibetan Plateau.
description: The Tibetan Plateau has experienced a rapid climate warming in recent years, which is a hot issue of global change research. However, the meteorological stations are sparsely and unevenly distributed in the Tibetan Plateau, which influences the spatial representativeness of meteorological data on the climate change of the whole plateau. Satellite remote sensing provides a new approach to monitor the climate change at large scale. This paper aims to develop a 1-km resolution monthly air temperature dataset during 2001-2020 over the Tibetan Plateau by remote sensing. First, the monthly daytime land surface temperature, monthly nighttime land surface temperature, monthly clear sky days, monthly surface albedo, monthly NDVI, monthly NDSI, altitude, astronomical radiation radiance and CTI were derived from MODIS, DEM and CTI datasets. Cubist was employed to develop models for estimating monthly average, maximum and minimum air temperature, and the optimal models were determined by cross-validation and parameter tuning. The developed dataset is helpful for further understanding of the climate change of the Tibetan Plateau, and can also provide important database for the climate change research on the Tibetan Plateau.
DOI: 10.57760/sciencedb.j00053.00010
title: 量子计算论文数据集
title: 量子计算论文数据集

description: 本数据集以Web of Science SCIE为数据源（截止于2021年6月1日），检索到与量子计算相关的期刊论文48201篇。
description: 本数据集以Web of Science SCIE为数据源（截止于2021年6月1日），检索到与量子计算相关的期刊论文48201篇。