cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00227
title: A dataset of glacier inventory in Western China during 2017–2018
title: 2017–2018年中国西部冰川编目数据集

description: The glaciers in Western China are highly sensitive to climate change and change greatly. Since the second glacier inventory in China, there has been a lack of systematic investigation on the glaciers in Western China. Based on the second glacier inventory data, this dataset has completed the extraction of glacier boundaries, quality checking of boundaries, uncertainty analysis of area and updating of glacier attributes in Western China during 2017–2018 through various data sources such as 315 Landsat remote sensing images and SRTM, combined with processing software of ArcGIS and Google Earth, and through manual visual interpretation. The results show that 53,238 glaciers existed in Western China in 2018, with a total area of 47,174.21 ± 19.93 km2, area error of ±0.04% of the total glacier area. In the southeastern Tibetan Plateau where the second glacier inventory in China is not yet completed, there are 13,066 glaciers with a total area of 7611.25±4.64 km2. This dataset provides data support for studies on glacier changes and the response of glaciers to climate change in Western China.
description: The glaciers in Western China are highly sensitive to climate change and change greatly. Since the second glacier inventory in China, there has been a lack of systematic investigation on the glaciers in Western China. Based on the second glacier inventory data, this dataset has completed the extraction of glacier boundaries, quality checking of boundaries, uncertainty analysis of area and updating of glacier attributes in Western China during 2017–2018 through various data sources such as 315 Landsat remote sensing images and SRTM, combined with processing software of ArcGIS and Google Earth, and through manual visual interpretation. The results show that 53,238 glaciers existed in Western China in 2018, with a total area of 47,174.21 ± 19.93 km2, area error of ±0.04% of the total glacier area. In the southeastern Tibetan Plateau where the second glacier inventory in China is not yet completed, there are 13,066 glaciers with a total area of 7611.25±4.64 km2. This dataset provides data support for studies on glacier changes and the response of glaciers to climate change in Western China.
DOI: 10.57760/sciencedb.j00001.00243
title: Dynamic dataset of plant community composition in Stipa baicalensis meadow steppe in HulunBuir of China (2009–2015)
title: 2009–2015年呼伦贝尔贝加尔针茅草甸草原植物群落组成动态数据集

description: Stipa baicalensis Steppe is a unique native steppe type in Central Asia and eastern Asia of Eurasian steppe region. Its grassland ecosystem is experiencing the dual pressure of human disturbance and climate change. Based on the long-term observation of plant community composition in the field fixed enclosed sample plots, this data set sorted out the plant community composition of Stipa baicalensis meadow steppe in Hulunbuir from 2009 to 2015, including the name of the sample plot, the natural height of the species, the abundance of the species, and the aboveground green standing crop of the species. Users can search the data according to the survey year and plant community composition. The establishment and sharing of the long-term monitoring data set of Stipa baicalensis meadow steppe plant community in Hulunbuir can provide data support for the dynamic study of plant composition and community characteristics under the background of global climate change, and provide scientific and technological support for further understanding of the process and succession trend of Hulunbuir grassland ecosystem, so as to guide grassland ecological restoration and adaptive management
description: Stipa baicalensis Steppe is a unique native steppe type in Central Asia and eastern Asia of Eurasian steppe region. Its grassland ecosystem is experiencing the dual pressure of human disturbance and climate change. Based on the long-term observation of plant community composition in the field fixed enclosed sample plots, this data set sorted out the plant community composition of Stipa baicalensis meadow steppe in Hulunbuir from 2009 to 2015, including the name of the sample plot, the natural height of the species, the abundance of the species, and the aboveground green standing crop of the species. Users can search the data according to the survey year and plant community composition. The establishment and sharing of the long-term monitoring data set of Stipa baicalensis meadow steppe plant community in Hulunbuir can provide data support for the dynamic study of plant composition and community characteristics under the background of global climate change, and provide scientific and technological support for further understanding of the process and succession trend of Hulunbuir grassland ecosystem, so as to guide grassland ecological restoration and adaptive management
DOI: 10.57760/sciencedb.j00001.00296
title: A dataset of morphological traits of pierid based on Fauna Sinica
title: 基于动物志的粉蝶形态特征数据集

description: The dataset of morphological traits of pierid based on Fauna Sinica is extracted by using a self-developed special tool for biological morphological feature marking after digitizing the related records of the book Fauna Sinicna (INSECTA Vol. 52 Lepidoptera Pieridae). This dataset contains 24 genera, 154 species of Pierididae (177 subspecies), Lepidoptera, Insecta. Each record in this dataset is the extraction of single morphological characteristics from morphology, measurement, and other morphological description data of different species/Subspecies in different genders and various developmental stages, mainly in shape, color, and texture. This dataset provides basic data for the biological research of these pierid groups, such as biogeography and phylogeny, and also provides valuable corpus resources for natural language processing and understanding research.
description: The dataset of morphological traits of pierid based on Fauna Sinica is extracted by using a self-developed special tool for biological morphological feature marking after digitizing the related records of the book Fauna Sinicna (INSECTA Vol. 52 Lepidoptera Pieridae). This dataset contains 24 genera, 154 species of Pierididae (177 subspecies), Lepidoptera, Insecta. Each record in this dataset is the extraction of single morphological characteristics from morphology, measurement, and other morphological description data of different species/Subspecies in different genders and various developmental stages, mainly in shape, color, and texture. This dataset provides basic data for the biological research of these pierid groups, such as biogeography and phylogeny, and also provides valuable corpus resources for natural language processing and understanding research.
DOI: 10.57760/sciencedb.j00001.00331
title: A dataset for infrared time-sensitive target detection and tracking for air-ground application
title: 面向空地应用的红外时敏目标检测跟踪数据集

description: This dataset is an image sequence dataset for infrared time-sensitive target detection and tracking. The target of interest is vehicles under ground background. The dataset includes 21,750 frames of images and 89,174 targets in total, which constitutes 87 image sequences and 393 target trajectories. For each image of the dataset, there is a corresponding annotation file which provide the ID number and coordinate location of all the vehicles in the specific image. This dataset provides statistical bases for researches concerning infrared time-sensitive target detection and tracking, infrared time-sensitive target characteristics.
description: This dataset is an image sequence dataset for infrared time-sensitive target detection and tracking. The target of interest is vehicles under ground background. The dataset includes 21,750 frames of images and 89,174 targets in total, which constitutes 87 image sequences and 393 target trajectories. For each image of the dataset, there is a corresponding annotation file which provide the ID number and coordinate location of all the vehicles in the specific image. This dataset provides statistical bases for researches concerning infrared time-sensitive target detection and tracking, infrared time-sensitive target characteristics.
DOI: 10.57760/sciencedb.j00001.00297
title: An observation dataset of meteorology at Yuanjiang Dry-hot Valley Ecological Station, Yunnan Province (2011 - 2020)
title: 2011–2020年云南元江干热河谷生态站气象监测数据集

description: In order to make better use of the meteorological data of Yuanjiang dry and hot valley ecological station, the long-term positioning observation of conventional meteorological elements is carried out by using the standard meteorological observation field, and the monitored meteorological monitoring data from July 2011 to December 2020 are sorted, quality controlled and evaluated. The meteorological data set includes 12 data tables such as air temperature, wet bulb temperature, dew point temperature, relative humidity, water vapor pressure, total cloud cover, sunshine hours, regular precipitation, evaporation, air pressure, wind speed and direction, and soil temperature. It is mainly based on daily scale (8:00, 14:00, and 20:00) data files, with a data integrity rate of more than 99%, It is expected to provide basic data support for the study of material cycle and energy exchange of dry hot valley ecosystem and its response to global change.
description: In order to make better use of the meteorological data of Yuanjiang dry and hot valley ecological station, the long-term positioning observation of conventional meteorological elements is carried out by using the standard meteorological observation field, and the monitored meteorological monitoring data from July 2011 to December 2020 are sorted, quality controlled and evaluated. The meteorological data set includes 12 data tables such as air temperature, wet bulb temperature, dew point temperature, relative humidity, water vapor pressure, total cloud cover, sunshine hours, regular precipitation, evaporation, air pressure, wind speed and direction, and soil temperature. It is mainly based on daily scale (8:00, 14:00, and 20:00) data files, with a data integrity rate of more than 99%, It is expected to provide basic data support for the study of material cycle and energy exchange of dry hot valley ecosystem and its response to global change.
DOI: 10.57760/sciencedb.j00001.00381
title: A dataset of forest biological disasters in China from 1998 to 2019
title: 1998-2019年中国森林有害生物灾害数据集

description: Based on the open data of China forestry statistical year book and China forestry and grassland statistical year book from 1998 to 2019, this dataset calculates two series of index sets: Forest Pest Outbreak index (FPOI) and Forest Pest Occurence Area Rate (FPOAR) at different time and spatial scales.And calculate the Forest Pest Outbreak index anomaly and Forest Pest Occurence Area Rate anomaly The verification shows that the dataset could better reflect the temporal and spatial distribution characteristics of forest pest disasters in China, and could provide data support for the research on forest pest disaster pattern, change and risk assessment in China.
description: Based on the open data of China forestry statistical year book and China forestry and grassland statistical year book from 1998 to 2019, this dataset calculates two series of index sets: Forest Pest Outbreak index (FPOI) and Forest Pest Occurence Area Rate (FPOAR) at different time and spatial scales.And calculate the Forest Pest Outbreak index anomaly and Forest Pest Occurence Area Rate anomaly The verification shows that the dataset could better reflect the temporal and spatial distribution characteristics of forest pest disasters in China, and could provide data support for the research on forest pest disaster pattern, change and risk assessment in China.
DOI: 10.57760/sciencedb.j00001.00345
title: A dataset of Mongolian-Chinese speech translation
title: 蒙汉语音翻译数据集

description: Due to the lack of public datasets, few researches focus on speech translation in minority languages. To this end, this paper constructs a dataset of Mongolian-Chinese speech translation, named as NMLR-Mon2Chs ST. The dataset consists of Mongolian speech, Mongolian and Chinese text. First, Mongolian speech were obtained from 36 Mongols aged between 20 and 25 by recording on their mobile phones. Then, the corresponding Chinese texts were annotated by professionals. In order to make sure the quality of the dataset, the preprocessing was done, such as removing the quiet speech, resampling, and normalization. As a result, a total of 25 hours of high-quality data are obtained, and the average duration of audio in the dataset is 4.2 seconds. The establishment of this dataset allows researchers access to speech translation for minority languages.
description: Due to the lack of public datasets, few researches focus on speech translation in minority languages. To this end, this paper constructs a dataset of Mongolian-Chinese speech translation, named as NMLR-Mon2Chs ST. The dataset consists of Mongolian speech, Mongolian and Chinese text. First, Mongolian speech were obtained from 36 Mongols aged between 20 and 25 by recording on their mobile phones. Then, the corresponding Chinese texts were annotated by professionals. In order to make sure the quality of the dataset, the preprocessing was done, such as removing the quiet speech, resampling, and normalization. As a result, a total of 25 hours of high-quality data are obtained, and the average duration of audio in the dataset is 4.2 seconds. The establishment of this dataset allows researchers access to speech translation for minority languages.
DOI: 10.57760/sciencedb.j00001.00355
title: A dataset of Tibetan-Chinese cross-language text plagiarism detection
title: 藏汉跨语言文本剽窃检测数据集

description: Proceeding from the actual problems of Chinese minority language information processing, this paper establishes a Tibetan-Chinese cross-language text plagiarism detection corpus containing 150,000 sentence pairs, based on SemEval 2014 English evaluation corpus and data enhancement method, to solve the problem of lack of corpus in Tibetan-Chinese cross-language text plagiarism detection. This dataset provides fundamental basis for Tibetan-Chinese cross-language text plagiarism detection. Also the dataset can be used in Tibetan-Chinese semantic computing and other natural language processing tasks. In addition, data enhancement method in the process of data set construction also provides a solution for other low-resource languages to solve the problem of lack of corpus in natural language processing tasks.
description: Proceeding from the actual problems of Chinese minority language information processing, this paper establishes a Tibetan-Chinese cross-language text plagiarism detection corpus containing 150,000 sentence pairs, based on SemEval 2014 English evaluation corpus and data enhancement method, to solve the problem of lack of corpus in Tibetan-Chinese cross-language text plagiarism detection. This dataset provides fundamental basis for Tibetan-Chinese cross-language text plagiarism detection. Also the dataset can be used in Tibetan-Chinese semantic computing and other natural language processing tasks. In addition, data enhancement method in the process of data set construction also provides a solution for other low-resource languages to solve the problem of lack of corpus in natural language processing tasks.
DOI: 10.57760/sciencedb.j00076.00063
title: A 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, Crowdsource, and Auxiliary Datasets
title: A 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, Crowdsource, and Auxiliary Datasets

description: In order to produce the most accurate cropland layer at 30 m spatial resolution for Africa, the cropland layers extracted from four remote sensing land cover datasets were integrated. The four datasets covered the period 2015 to 2017. Hence, the constructed cropland layer was produced for the nominal year 2016. To build the final layer, the cropland mapping accuracies of the four cropland layers were firstly investigated at the units of Agro-ecological zones. Then, the best cropland layers for all zones were spatially joined. The resulted cropland layer is a binary mask with higher overall accuracy than individual layers and more consistent with FAO official statistics.
description: In order to produce the most accurate cropland layer at 30 m spatial resolution for Africa, the cropland layers extracted from four remote sensing land cover datasets were integrated. The four datasets covered the period 2015 to 2017. Hence, the constructed cropland layer was produced for the nominal year 2016. To build the final layer, the cropland mapping accuracies of the four cropland layers were firstly investigated at the units of Agro-ecological zones. Then, the best cropland layers for all zones were spatially joined. The resulted cropland layer is a binary mask with higher overall accuracy than individual layers and more consistent with FAO official statistics.
DOI: 10.57760/sciencedb.j00104.00008
title: Microsoft Concept Graph
title: Microsoft Concept Graph

description: In this release, we only provide the core version of IsA data we mined from billions of web pages (Other data may release in future step by step). This data contains 5,376,526 unique concepts, 12,501,527 unique instances, and 85,101,174 IsA relations.
description: In this release, we only provide the core version of IsA data we mined from billions of web pages (Other data may release in future step by step). This data contains 5,376,526 unique concepts, 12,501,527 unique instances, and 85,101,174 IsA relations.
DOI: 10.6084/m9.figshare.21102847.v1
title: Morphometric data: Cryptic persistence and loss of local endemism in Lake Constance charr subject to anthropogenic disturbance

description: In the welcome circumstance that species believed extinct are rediscovered, it is often the case that biological knowledge acquired before the presumed extinction is limited. Efforts to address these knowledge gaps in particular to assess the taxonomic integrity and conservation status of such species can be hampered by a lack of genetic data and scarcity of samples in museum collections. Here we present a proof-of-concept case study based on a multidisciplinary data evaluation approach to tackle such problems. The approach was developed after the rediscovery, 40 years after its presumed extinction, of the enigmatic Lake Constance deep-water charr <em>Salvelinus profundus</em>. Targeted surveys led to the capture of further species and additional sympatric normal charr, <em>Salvelinus </em>cf.<em> umbla</em>. Since the lake had been subject to massive stocking in the past, an evaluation of the genetic integrity of both extant forms was called for in order to assess possible introgression. A two-step genomic approach was developed based on restriction site associated DNA (RAD). Diagnostic population genomic (SNP) data was harvested from contemporary samples and used for RNA bait design to perform target capture in DNA libraries of archival scale material, enabling a comparison between extant and historic samples. Furthermore, life history traits and morphological data for both extant forms were gathered and compared with historical data from the last 60-120 years. While extant deep-water charr matched historical deep-water specimens in body shape, gill raker count and growth rates, significant differences were discovered between historical and extant normal charr. These resulted were supported by genomic analyses of contemporary samples, revealing the two extant forms to be highly divergent. The results of population assignment tests suggest that the endemic deep-water charr persisted in Lake Constance during the eutrophic phase, but not one of the historical genomic samples could be assigned to the extant normal charr taxon. Stocking with non-endemic charr seems to be the most likely reason for these changes. This proof-of-concept study presents a multidisciplinary data evaluation approach that simultaneously tests population genomic integrity and addresses some of the conservation issues arising from rediscovery of a species characterized by limited data availability. <br> Usage notes Dataset 1: Landmarks from recent and historic samples of both forms <br> Dataset 2: Morphometric data of both forms to compare eye diameter and head length <br> Dataset 3: Length at age of recent samples of both charr forms <br> Datset 4: The development of gill raker number between 1980 and 1998 (explanation see ms) <br>
DOI: 10.57760/sciencedb.j00001.00334
title: A dataset of water use efficiency in Xinjiang from 2020 to 2050
title: 2020-2050年新疆水分利用效率数据集

description: A dataset of water use efficiency in Xinjiang from 2020 to 2050 under different greenhouse gas concentrations scenarios (RCP 4.5 and RCP 8.5)
description: A dataset of water use efficiency in Xinjiang from 2020 to 2050 under different greenhouse gas concentrations scenarios (RCP 4.5 and RCP 8.5)
DOI: 10.57760/sciencedb.j00001.00338
title: Data From: Leaf trait expression varies with tree size and ecological strategy in a subtropical forest
title: Data From: Leaf trait expression varies with tree size and ecological strategy in a subtropical forest

description: The file contains data used in a study for intraspecific trait variation with respect to tree size and ecological strategies of tree species in a subtropical forest in Dinghushan, Guangdong, China. There were three tables in the file : (i) the tree size and functional trait data set which was used to analyze the trait-size relationship; (ii) the vertical environmental dataset with light availability, air temperature and relative humidity; (iii) maximum tree height and shade tolerance index for 24 tree species studied in Dinghushan. Traits were measured following Cornelissen et al. 2003. Leaf are (LA), leaf thickness (LT), specific leaf area (SLA) and leaf drymatter content (LDMC) were in units of cm2, mm, cm·g-1, and %.Cornelissen, J. H. C., Lavorel, S., Garnier, E., Díaz, S., Buchmann, N.,Gurvich, D. E., Reich, P. B., ter Steege, H., Morgan, H. D., van der Heijden, M. G. A., Pausas, J. G., & Pooter, H. (2003). A handbok of protocols for standarded and easy measurement of pant functional traits worldwide. Australian Journal of Botany, 51, 335–380.
description: The file contains data used in a study for intraspecific trait variation with respect to tree size and ecological strategies of tree species in a subtropical forest in Dinghushan, Guangdong, China. There were three tables in the file : (i) the tree size and functional trait data set which was used to analyze the trait-size relationship; (ii) the vertical environmental dataset with light availability, air temperature and relative humidity; (iii) maximum tree height and shade tolerance index for 24 tree species studied in Dinghushan. Traits were measured following Cornelissen et al. 2003. Leaf are (LA), leaf thickness (LT), specific leaf area (SLA) and leaf drymatter content (LDMC) were in units of cm2, mm, cm·g-1, and %.Cornelissen, J. H. C., Lavorel, S., Garnier, E., Díaz, S., Buchmann, N.,Gurvich, D. E., Reich, P. B., ter Steege, H., Morgan, H. D., van der Heijden, M. G. A., Pausas, J. G., & Pooter, H. (2003). A handbok of protocols for standarded and easy measurement of pant functional traits worldwide. Australian Journal of Botany, 51, 335–380.