cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00076.00091
title: CPSDv0: A forest stand structure database for plantation forests over China
title: CPSDv0: A forest stand structure database for plantation forests over China

description: Forest stand structure is not only a crucial factor for regulating forest functioning, but also an important indicator for sustainable forest management and ecosystem services. Although there exist a few national/global structure databases for natural forests, a country-wide synthetic structure database for plantation forests over China, the world’s largest player in plantation forests, has been not achieved. In this study, we built a country-wide synthetic structure database by surveying more than 600 peer-reviewed literatures. The database covers tree species, mean stand age, mean tree height, stand density, canopy coverage, diameter at breast height, as well as the associated ancillary in-situ topographical and soil properties. Totally 594 published studies concerning diverse forest structure parameters were compiled for 46 tree species. This first synthesis for forest structure of plantation forests over China supports studies on evolution/health of plantation forests in response to rapid climate change and intensified disturbances, and benefits country-wide sustainable forest management and future afforestation or reforestation planning. Potential users include those studying forest community dynamics, regional tree growth, ecosystem stability and health, as well as those working with conservation and sustainable management.
description: Forest stand structure is not only a crucial factor for regulating forest functioning, but also an important indicator for sustainable forest management and ecosystem services. Although there exist a few national/global structure databases for natural forests, a country-wide synthetic structure database for plantation forests over China, the world’s largest player in plantation forests, has been not achieved. In this study, we built a country-wide synthetic structure database by surveying more than 600 peer-reviewed literatures. The database covers tree species, mean stand age, mean tree height, stand density, canopy coverage, diameter at breast height, as well as the associated ancillary in-situ topographical and soil properties. Totally 594 published studies concerning diverse forest structure parameters were compiled for 46 tree species. This first synthesis for forest structure of plantation forests over China supports studies on evolution/health of plantation forests in response to rapid climate change and intensified disturbances, and benefits country-wide sustainable forest management and future afforestation or reforestation planning. Potential users include those studying forest community dynamics, regional tree growth, ecosystem stability and health, as well as those working with conservation and sustainable management.
DOI: 10.57760/sciencedb.j00104.00003
title: XLORE
title: XLORE

description: XLORE is a large-scale Chinese-English cross-lingual knowledge graph. It integrates knowledge from various sources (i.e., Baidu Baike, Chinese and English Wikipedia) via a standard knowledge engineering lifecycle including knowledge modeling, acquisition and integration. The data set consists of a selected high-quality subset of XLORE including representative concepts, properties and instances. It uses separate files in TTL (Terse RDF Triple Language) format to store different types of knowledge, i.e., taxonomy, infoboxes, cross-lingual links, etc. This paper also uncovers the general framework for XLORE construction, as well as the technical details. Note that the following files are only data samples and please refer to the XLORE website (https://xlore.org/download.html) for more information.
description: XLORE is a large-scale Chinese-English cross-lingual knowledge graph. It integrates knowledge from various sources (i.e., Baidu Baike, Chinese and English Wikipedia) via a standard knowledge engineering lifecycle including knowledge modeling, acquisition and integration. The data set consists of a selected high-quality subset of XLORE including representative concepts, properties and instances. It uses separate files in TTL (Terse RDF Triple Language) format to store different types of knowledge, i.e., taxonomy, infoboxes, cross-lingual links, etc. This paper also uncovers the general framework for XLORE construction, as well as the technical details. Note that the following files are only data samples and please refer to the XLORE website (https://xlore.org/download.html) for more information.
DOI: 10.57760/sciencedb.j00001.00298
title: 2007-2022探月工程VLBI测量数据集
title: 2007-2022探月工程VLBI测量数据集

description: 中国探月工程“绕、落、回”历次任务对探测器的飞行轨道测量和着陆点位置测量有很高的精度要求，综合测距测速和甚长基线干涉测量（VLBI）方法可快速获得探测器的高精度测量结果。基于嫦娥一号~嫦娥五号任务中国VLBI网所获实测VLBI数据，建立了“2007-2020中国探月工程VLBI测量数据集”。该数据集时间跨度为2007-2020年，除实时任务数据外，还包含了各个拓展试验任务和长管任务的测量数据集。这些数据具有重要意义，已服务于多个任务的VLBI系统性能评估与验证，支持了多个VLBI测轨任务的圆满完成，对我国后续各项探月工程和行星探测，以及空间天文相关课题的研究，也具有重要研究价值。
description: 中国探月工程“绕、落、回”历次任务对探测器的飞行轨道测量和着陆点位置测量有很高的精度要求，综合测距测速和甚长基线干涉测量（VLBI）方法可快速获得探测器的高精度测量结果。基于嫦娥一号~嫦娥五号任务中国VLBI网所获实测VLBI数据，建立了“2007-2020中国探月工程VLBI测量数据集”。该数据集时间跨度为2007-2020年，除实时任务数据外，还包含了各个拓展试验任务和长管任务的测量数据集。这些数据具有重要意义，已服务于多个任务的VLBI系统性能评估与验证，支持了多个VLBI测轨任务的圆满完成，对我国后续各项探月工程和行星探测，以及空间天文相关课题的研究，也具有重要研究价值。
DOI: 10.57760/sciencedb.j00001.00294
title: An inventory dataset of the typical rockfalls and landslides in CPEC from 1970 to 2020
title: 1970-2020年中巴经济走廊典型崩塌、滑坡灾害数据集

description: The dataset includes: (1) the dataset of rockfalls’ points distributions, surfaces (boundaries) and related attributes in CPEC; (2) the dataset of landslides’ points distributions, surfaces (boundaries) and related attributes in CPEC.
description: The dataset includes: (1) the dataset of rockfalls’ points distributions, surfaces (boundaries) and related attributes in CPEC; (2) the dataset of landslides’ points distributions, surfaces (boundaries) and related attributes in CPEC.
DOI: 10.57760/sciencedb.j00104.00007
title: CN-DBpedia
title: CN-DBpedia

description: CN-DBpedia is a large-scale Chinese knowledge graph. It integrates knowledge from Baidu Baike, Hudong Baike, Chinese Wikipedia and other domain encyclopedia websites. The data set consists of a subset of CN-DBpedia including 9 million entities and 67 million triples. Specially, we have 1.1 million mention2entity relations, 4 million abstract relations, 1.98 million entity tag relations and 4.1 million infobox relations, respectively. Note that the following files are only data samples and please refer to the CN-DBpedia website (http://kw.fudan.edu.cn/cndbpedia) for more information.
description: CN-DBpedia is a large-scale Chinese knowledge graph. It integrates knowledge from Baidu Baike, Hudong Baike, Chinese Wikipedia and other domain encyclopedia websites. The data set consists of a subset of CN-DBpedia including 9 million entities and 67 million triples. Specially, we have 1.1 million mention2entity relations, 4 million abstract relations, 1.98 million entity tag relations and 4.1 million infobox relations, respectively. Note that the following files are only data samples and please refer to the CN-DBpedia website (http://kw.fudan.edu.cn/cndbpedia) for more information.
DOI: 10.57760/sciencedb.j00104.00027
title: Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set
title: Identifying User Profile by Incorporating Self-Attention Mechanism Based on CSDN Data Set

description: Five tables and four figures of this paper. Table 1 shows statistics of the evaluation data set. Table 2 presents a sample of CSDN data set. Table 3 is a comparison on Task 1 with different aspects. Table 4 is a comparison of different aspects on Task 2. Table 5 shows performance of UIR-SIST system in SMP CUP 2017. Figure 1 shows a system architecture. Figure 2 is a framework of CNNs model based on weighted-blog-embeddings in Task 2. Figure 3 presents a framework of the stacking model in Task 3. Figure 4 shows an example of daily statistics of user behaviors. Note: “Add” refers to “add favoriates”, and “send” refers to “send private messages”.
description: Five tables and four figures of this paper. Table 1 shows statistics of the evaluation data set. Table 2 presents a sample of CSDN data set. Table 3 is a comparison on Task 1 with different aspects. Table 4 is a comparison of different aspects on Task 2. Table 5 shows performance of UIR-SIST system in SMP CUP 2017. Figure 1 shows a system architecture. Figure 2 is a framework of CNNs model based on weighted-blog-embeddings in Task 2. Figure 3 presents a framework of the stacking model in Task 3. Figure 4 shows an example of daily statistics of user behaviors. Note: “Add” refers to “add favoriates”, and “send” refers to “send private messages”.
DOI: 10.57760/sciencedb.j00001.00289
title: High-resolution computed tomography (HRCT) dataset of Mengshanosaurus minimus holotype (IVPG-T002)
title: 袖珍蒙山龙正型标本（IVPG-T002）高精度CT三维数据集

description: Mengshanosaurus minimus is a group of choristoderes that has been reported from the Lower Cretaceous Mengyin Formation of Shandong Province. The holotype is an almost complete fossil skull with a total length of 35 mm, representing a juvenile. The high-resolution computed tomography (HRCT) dataset of Mengshanosaurus minimus holotype (IVPG-T002) consists of 4 subsets in total: (1) “slice images.zip”, 10.5 GB, consists of a scan parameter document (parameter.pcr) and 5354 original CT slice images (*.tif); (2) “specimen photo and CT model images.zip”, 362 MB, includes a photo of the holotype specimen (holotype photo.tif) and an image showing the CT model in various views (Mengshanosaurus minumus CT model.tif)；(3) “videos.zip”, 2.30 GB, includes three video documents showing the three-dimensional CT model of the skull spinning around roll, pitch, and yaw axes (*.avi)；(4) “skull polygon mesh.stl”, 881 MB, is a three-dimensional surface model of the holotype skull.The Mengshanosaurus minimus holotype was scanned by using the HRCT scanner phoenix v|tome|x m, and the original CT data has a spatial resolution of 7.5197 μm. The three-dimensional reconstruction of the CT model of the skull, the images and videos of the CT model of the skull, and the three-dimensional surface model of the skull were finished on the VG Studio Max 3.4.0.
description: Mengshanosaurus minimus is a group of choristoderes that has been reported from the Lower Cretaceous Mengyin Formation of Shandong Province. The holotype is an almost complete fossil skull with a total length of 35 mm, representing a juvenile. The high-resolution computed tomography (HRCT) dataset of Mengshanosaurus minimus holotype (IVPG-T002) consists of 4 subsets in total: (1) “slice images.zip”, 10.5 GB, consists of a scan parameter document (parameter.pcr) and 5354 original CT slice images (*.tif); (2) “specimen photo and CT model images.zip”, 362 MB, includes a photo of the holotype specimen (holotype photo.tif) and an image showing the CT model in various views (Mengshanosaurus minumus CT model.tif)；(3) “videos.zip”, 2.30 GB, includes three video documents showing the three-dimensional CT model of the skull spinning around roll, pitch, and yaw axes (*.avi)；(4) “skull polygon mesh.stl”, 881 MB, is a three-dimensional surface model of the holotype skull.The Mengshanosaurus minimus holotype was scanned by using the HRCT scanner phoenix v|tome|x m, and the original CT data has a spatial resolution of 7.5197 μm. The three-dimensional reconstruction of the CT model of the skull, the images and videos of the CT model of the skull, and the three-dimensional surface model of the skull were finished on the VG Studio Max 3.4.0.
DOI: 10.57760/sciencedb.j00001.00292
title: Microscopic image data set of carbonate rocks of Leikoupo Formation of Middle Triassic in Central Sichuan
title: 川中地区中三叠统雷口坡组碳酸盐岩显微图像数据集

description: The data set collected 177 samples from 11 wells H13, LG173, LG19, M04, PL19, TN110, TN112, WS1, Y105, V21 and ZT1 in Central Sichuan. The samples were identified and photographed under polarizing microscope, with a total of 1818 photos.
description: The data set collected 177 samples from 11 wells H13, LG173, LG19, M04, PL19, TN110, TN112, WS1, Y105, V21 and ZT1 in Central Sichuan. The samples were identified and photographed under polarizing microscope, with a total of 1818 photos.
DOI: 10.57760/sciencedb.j00001.00376
title: Spatial dataset of flood disaster events in Yunnan Province from 1950 to 2020
title: 1950-2020年云南省洪涝灾害事件空间数据集

description: Flood disaster is one of the major meteorological disasters with high frequency in Yunnan Province, often accompanied by landslides and debris flows, which seriously threaten the safety of people's lives and property. This study fully collected various literature materials, sorted out the flood disaster events information in Yunnan Province from 1950 to 2020 on different spatial scales, and constructed a spatio-temporal dataset of flood disaster events in Yunnan Province according to the geospatial data specification. This dataset contains: (1) Catalog of flood disaster events in Yunnan Province (county and district level); (2) Catalog of flood disaster events in Yunnan Province (township level); (3) Spatial distribution data of flood disaster events in Yunnan Province (county and district level); (4) Spatial distribution data of flood disaster events in Yunnan Province (township level). This long time series dataset can meet the needs of flood disaster related research on different temporal and spatial scales in Yunnan Province, and provide data support and scientific basis for disaster prevention and mitigation.
description: Flood disaster is one of the major meteorological disasters with high frequency in Yunnan Province, often accompanied by landslides and debris flows, which seriously threaten the safety of people's lives and property. This study fully collected various literature materials, sorted out the flood disaster events information in Yunnan Province from 1950 to 2020 on different spatial scales, and constructed a spatio-temporal dataset of flood disaster events in Yunnan Province according to the geospatial data specification. This dataset contains: (1) Catalog of flood disaster events in Yunnan Province (county and district level); (2) Catalog of flood disaster events in Yunnan Province (township level); (3) Spatial distribution data of flood disaster events in Yunnan Province (county and district level); (4) Spatial distribution data of flood disaster events in Yunnan Province (township level). This long time series dataset can meet the needs of flood disaster related research on different temporal and spatial scales in Yunnan Province, and provide data support and scientific basis for disaster prevention and mitigation.
DOI: 10.57760/sciencedb.j00104.00019
title: From Persistent Identifiers to Digital Objects to Make Data Science More Efficient
title: From Persistent Identifiers to Digital Objects to Make Data Science More Efficient

description: 12 figures of the paper. Figure 1 depicts the NoMaD project. Figure 2. The DOBES project. Figure 3 shows the human brain project. Figure 4 shows the notion of a Digital Object (DO). Figure 5 presents the binding concept of persistent identifier (PID) records. Figure 6 shows persistent identifiers (PIDs) crucial for the data domain.Figure 7 is an example of a Handle. Figure 8 shows global Handle registry system.Figure 9 shows the concept of Digital Object.Figure 10 shows the concept of Digital Object access protocol. Figure 11 shows the characteristics of a Global Digital Object Cloud (GDOC) domain.Figure 12 shows the concept of Type-Triggered Automatic Processing (T-TAP).
description: 12 figures of the paper. Figure 1 depicts the NoMaD project. Figure 2. The DOBES project. Figure 3 shows the human brain project. Figure 4 shows the notion of a Digital Object (DO). Figure 5 presents the binding concept of persistent identifier (PID) records. Figure 6 shows persistent identifiers (PIDs) crucial for the data domain.Figure 7 is an example of a Handle. Figure 8 shows global Handle registry system.Figure 9 shows the concept of Digital Object.Figure 10 shows the concept of Digital Object access protocol. Figure 11 shows the characteristics of a Global Digital Object Cloud (GDOC) domain.Figure 12 shows the concept of Type-Triggered Automatic Processing (T-TAP).
DOI: 10.57760/sciencedb.j00001.00288
title: Monthly dynamic data set of litterfall recovery from typical alder cypress mixed forests in the hilly areas of central Sichuan (2011-2020)
title: 2011-2020年川中丘陵区典型人工桤柏混交林凋落物回收量月动态数据集

description: Based on long-term positioning observation of forest litter of alder cypress mixed forest plot at Yanting Station, this paper integrated the monthly dynamic data of litter recovery of alder cypress mixed forest from 2011 to 2020. Litters are divided into three components according to leaf, branch and fruit (including dropped seeds), and two data tables are formed, which are the monthly dynamic data of sample plots and sample points respectively. Users can search the data according to the type, time and organs of litters.
description: Based on long-term positioning observation of forest litter of alder cypress mixed forest plot at Yanting Station, this paper integrated the monthly dynamic data of litter recovery of alder cypress mixed forest from 2011 to 2020. Litters are divided into three components according to leaf, branch and fruit (including dropped seeds), and two data tables are formed, which are the monthly dynamic data of sample plots and sample points respectively. Users can search the data according to the type, time and organs of litters.
DOI: 10.57760/sciencedb.j00001.00332
title: 中国城市2020年建成区数据集
title: 中国城市2020年建成区数据集

description: 基于Sentinel数据，自主生产2020年中国城市不透水面数据，并参考联合国城市建成区相关标准，生产了中国433个人口大于30万的城市建成区标准化数据集。本文数据是全球首个参考联合国建成区标准制定的中国城市数据集，并且采用高精度数据源制作，数据产品精度高，满足当前城市可持续发展研究要求，在城市扩张分析以及环境评价等应用领域能发挥出更大的使用价值。
description: 基于Sentinel数据，自主生产2020年中国城市不透水面数据，并参考联合国城市建成区相关标准，生产了中国433个人口大于30万的城市建成区标准化数据集。本文数据是全球首个参考联合国建成区标准制定的中国城市数据集，并且采用高精度数据源制作，数据产品精度高，满足当前城市可持续发展研究要求，在城市扩张分析以及环境评价等应用领域能发挥出更大的使用价值。
DOI: 10.57760/sciencedb.j00001.00354
title: Mongolian-Chinese Machine Translation Correction Dataset
title: 蒙汉机器翻译校正数据集

description: The accuracy of machine translation datasets plays a decisive role in the performance of translation models. Due to the particularity of character encoding in traditional Mongolian, spelling errors are very common, and the accuracy of character encoding of open resources on the Internet is less than 20%, which poses a major obstacle to intelligent text processing. This paper uses the Mongolian-Chinese bilingual public evaluation dataset of the 17th China Conference on Machine Translation (CCMT 2021) as the original corpus to complete automatic Mongolian correction, and construct a high-quality Mongolian-Chinese sentence pair correction data set for machine translation. The experimental results on the CWMT2017 test set show that the Mongolian-Chinese bilingual parallel sentence pair after the Mongolian text correction is better than the translation effect of the original evaluation data in both Mongolian-&gt;Chinese and Chinese-&gt;Mongolian directions, which verifies the translation effect of the Mongolian corrected text. The effectiveness and practicability of using to improve the performance of downstream natural language processing tasks.
description: The accuracy of machine translation datasets plays a decisive role in the performance of translation models. Due to the particularity of character encoding in traditional Mongolian, spelling errors are very common, and the accuracy of character encoding of open resources on the Internet is less than 20%, which poses a major obstacle to intelligent text processing. This paper uses the Mongolian-Chinese bilingual public evaluation dataset of the 17th China Conference on Machine Translation (CCMT 2021) as the original corpus to complete automatic Mongolian correction, and construct a high-quality Mongolian-Chinese sentence pair correction data set for machine translation. The experimental results on the CWMT2017 test set show that the Mongolian-Chinese bilingual parallel sentence pair after the Mongolian text correction is better than the translation effect of the original evaluation data in both Mongolian-&gt;Chinese and Chinese-&gt;Mongolian directions, which verifies the translation effect of the Mongolian corrected text. The effectiveness and practicability of using to improve the performance of downstream natural language processing tasks.
DOI: 10.57760/sciencedb.j00052.00003
title: Crossing ownership Boundaries: The double-edged sword effect of psychological ownership on privacy disclosure
title: 跨越所有权边界：心理所有权对隐私披露的双刃剑效应

description: The data of "Crossing ownership Boundaries: The double-edged sword effect of psychological ownership on privacy disclosure"
description: The data of "Crossing ownership Boundaries: The double-edged sword effect of psychological ownership on privacy disclosure"
DOI: 10.57760/sciencedb.j00076.00089
title: Evaluation of county-level poverty alleviation progress by deep learning and satellite observations
title: Evaluation of county-level poverty alleviation progress by deep learning and satellite observations

description: This study combines deep learning with multiple satellite datasets to estimate county-level economic development from 2008 to 2019 and assess the effect of the TPA policy for 592 national poverty-stricken counties (NPCs) at country, provincial and county levels. Per capita gross domestic product (GDP) is used to measure the affluence level. From 2014 through 2019, the 592 NPCs experience an average growth rate of per capita GDP at 7.6%±0.4%, higher than the average growth rate of 310 adjacent non-NPC counties (7.3%±0.4%) and of the whole country (6.3%).
description: This study combines deep learning with multiple satellite datasets to estimate county-level economic development from 2008 to 2019 and assess the effect of the TPA policy for 592 national poverty-stricken counties (NPCs) at country, provincial and county levels. Per capita gross domestic product (GDP) is used to measure the affluence level. From 2014 through 2019, the 592 NPCs experience an average growth rate of per capita GDP at 7.6%±0.4%, higher than the average growth rate of 310 adjacent non-NPC counties (7.3%±0.4%) and of the whole country (6.3%).
DOI: 10.57760/sciencedb.j00076.00097
title: Arid mangrove
title: Arid mangrove

description: Dataset for bioturbation intensity on arid mangrove
description: Dataset for bioturbation intensity on arid mangrove