cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.00811
title: scBCR-RNA seq raw data
title: scBCR-RNA seq raw data

description: We designed several ZIKV vaccines. Single vaccination conferred sterilizing immunity against ZIKV. To study the mechanism of these vaccines, we did a single cell sequencing experiment to characterize the repertoire of antibodies induced by these ZIKV vaccines.Single-cell suspensions were obtained from the lymph nodes of immunized mice. Sample processing for single B cell receptor (BCR) V(D)J clonotype was done using Chromium Single Cell 5′ Library and the Gel Bead Kit following the manufacturer’s user guide (10x Genomics, Pleasanton, CA, CG000086_SingleCellVDJReagentKitsUserGuide_R- evB).Single-cell BCR V(D)J Libraries were prepared following the manufacturer’s user guide, and profiled using the Bioanalyzer High Sensitivity DNA kit (Agilent Technologies, Santa Clara, CA) and quantified with kapa Library Quantification Kit (Kapa Biosystems, Wilmington, MA). Libraries were sequenced by paired-end sequencing (2 × 150 bp) on an Illumina NovaSeq (Illumina, San Diego, CA). BCL data were converted to demultiplexed FASTQ files using Illumina bcl2fastq 2.20.
description: We designed several ZIKV vaccines. Single vaccination conferred sterilizing immunity against ZIKV. To study the mechanism of these vaccines, we did a single cell sequencing experiment to characterize the repertoire of antibodies induced by these ZIKV vaccines.Single-cell suspensions were obtained from the lymph nodes of immunized mice. Sample processing for single B cell receptor (BCR) V(D)J clonotype was done using Chromium Single Cell 5′ Library and the Gel Bead Kit following the manufacturer’s user guide (10x Genomics, Pleasanton, CA, CG000086_SingleCellVDJReagentKitsUserGuide_R- evB).Single-cell BCR V(D)J Libraries were prepared following the manufacturer’s user guide, and profiled using the Bioanalyzer High Sensitivity DNA kit (Agilent Technologies, Santa Clara, CA) and quantified with kapa Library Quantification Kit (Kapa Biosystems, Wilmington, MA). Libraries were sequenced by paired-end sequencing (2 × 150 bp) on an Illumina NovaSeq (Illumina, San Diego, CA). BCL data were converted to demultiplexed FASTQ files using Illumina bcl2fastq 2.20.
DOI: 10.57760/sciencedb.00818
title: A dataset of genomic and epidemiological information together to reveal new facts regarding COVID-19
title: A dataset of genomic and epidemiological information together to reveal new facts regarding COVID-19

description: Genomic and epidemiological data were matched with public information, and the data quality was verified by manual curation. We collected 159,672 genomic records and 2,571,532 epidemiological records. A total of 20,431 genome–case pairs were generated.Finally, four data files are generated in .tsv format.
description: Genomic and epidemiological data were matched with public information, and the data quality was verified by manual curation. We collected 159,672 genomic records and 2,571,532 epidemiological records. A total of 20,431 genome–case pairs were generated.Finally, four data files are generated in .tsv format.
DOI: 10.57760/sciencedb.00822
title: Footprint of ArcA and FruI
title: Footprint of ArcA and FruI

description: Raw data of dye-based DNase I footprinting assay of FruI binding to fruT promoter region and ArcA binding to fruI promoter region
description: Raw data of dye-based DNase I footprinting assay of FruI binding to fruT promoter region and ArcA binding to fruI promoter region
DOI: 10.57760/sciencedb.00911
title: Cryogenic perchlorate and chloride computer codes
title: Cryogenic perchlorate and chloride computer codes

description: Source codes written by C language for phase diagrams calculation of the MgCl2+Mg(ClO4)2+H2O and CaCl2+Ca(ClO4)2+H2O ternary systems. The resulted data output can be plotted using the Gnuplot script files.
description: Source codes written by C language for phase diagrams calculation of the MgCl2+Mg(ClO4)2+H2O and CaCl2+Ca(ClO4)2+H2O ternary systems. The resulted data output can be plotted using the Gnuplot script files.
DOI: 10.57760/sciencedb.01050
title: Stimulated or inhibited, response of methane flux to nitrogen addition depends on nitrogen levels
title: Stimulated or inhibited, response of methane flux to nitrogen addition depends on nitrogen levels

description: The dataset includes methene flux, dissolved organic carbon leaching from organic layer of 3 years under 3 different nitrogen addition treatments in a field experiment of Gongga montane forest. Additionally, the data of soil ammonium, nitrate and pH are also included.
description: The dataset includes methene flux, dissolved organic carbon leaching from organic layer of 3 years under 3 different nitrogen addition treatments in a field experiment of Gongga montane forest. Additionally, the data of soil ammonium, nitrate and pH are also included.
DOI: 10.57760/sciencedb.01115
title: A dataset of bird checklist and community traits in typical forest ecosystems of Dinghushan (2015–2017)
title: 2015–2017年鼎湖山典型森林生态系统鸟类名录及群落特征数据集

description: Bird diversity and its community structure were important indicators for the long-term monitoring of biodiversity in ecosystems. The typical forest vegetation types were well preserved in Dinghushan National Nature Reserve, including monsoon evergreen broad-leaved forest, mixed coniferous broad-leaved forest and coniferous forest. The monsoon evergreen broad-leaved forest has been conservation history of more than 400 years. The dataset was systematized sorting and statistics on the long-term monitoring of bird communities from 2015 to 2017 in three typical forest vegetation types of Dinghushan Nature Reserve, that is, monsoon evergreen broad-leaved forest, mixed coniferous broad-leaved forest and coniferous forest. Field surveys include bird species, number, time, distance, ground height, habitat type, activity substrate and behavior. The diversity index, evenness index, dominance index and similarity coefficient of bird community were analyzed. A total of 88 species from 9 orders, 35 families were recorded in the dataset. The dataset provides important data support for further strengthening bird community studies and study of inter-species interaction between multiple groups of plants and animals and the protection and management of forest ecosystem in this region.
description: Bird diversity and its community structure were important indicators for the long-term monitoring of biodiversity in ecosystems. The typical forest vegetation types were well preserved in Dinghushan National Nature Reserve, including monsoon evergreen broad-leaved forest, mixed coniferous broad-leaved forest and coniferous forest. The monsoon evergreen broad-leaved forest has been conservation history of more than 400 years. The dataset was systematized sorting and statistics on the long-term monitoring of bird communities from 2015 to 2017 in three typical forest vegetation types of Dinghushan Nature Reserve, that is, monsoon evergreen broad-leaved forest, mixed coniferous broad-leaved forest and coniferous forest. Field surveys include bird species, number, time, distance, ground height, habitat type, activity substrate and behavior. The diversity index, evenness index, dominance index and similarity coefficient of bird community were analyzed. A total of 88 species from 9 orders, 35 families were recorded in the dataset. The dataset provides important data support for further strengthening bird community studies and study of inter-species interaction between multiple groups of plants and animals and the protection and management of forest ecosystem in this region.
DOI: 10.57760/sciencedb.01116
title: Annual dataset for changes of Longbasaba Glacier in the Central Himalayas during 1988-2018
title: 1988-2018年喜马拉雅山中部龙巴萨巴冰川变化数据集

description: The lake-terminating glaciers are widely distributed in the central Himalayas. According to the impact of proglacial lakes, these glaciers exhibited a more sensitive response to climate change than others. The dataset of the bottom topography of the Longbasaba Glacier/Lake (GeoTIFF format) was constructed by utilizing the glacier thickness and in situ measurements of the water depths of Longbasaba Lake; boundaries of the glacial lake, glacier, and debris cover for the period 1988–2018 (Shapefile format) were extracted from Landsat TM\ETM+\OLI images, which were also utilized to extract the surface velocities. The dataset of mass change of this lake-terminating glacier from 1989 to 2018 was reconstructed by combining the surface mass budgets, surface velocities, and the terminal retreat. These data could be basic and calibration parameters for the glacial dynamics models of lake-terminating glaciers, and also be reference datasets for the studies of the response to climate change for glaciers with different types in the Himalayas.
description: The lake-terminating glaciers are widely distributed in the central Himalayas. According to the impact of proglacial lakes, these glaciers exhibited a more sensitive response to climate change than others. The dataset of the bottom topography of the Longbasaba Glacier/Lake (GeoTIFF format) was constructed by utilizing the glacier thickness and in situ measurements of the water depths of Longbasaba Lake; boundaries of the glacial lake, glacier, and debris cover for the period 1988–2018 (Shapefile format) were extracted from Landsat TM\ETM+\OLI images, which were also utilized to extract the surface velocities. The dataset of mass change of this lake-terminating glacier from 1989 to 2018 was reconstructed by combining the surface mass budgets, surface velocities, and the terminal retreat. These data could be basic and calibration parameters for the glacial dynamics models of lake-terminating glaciers, and also be reference datasets for the studies of the response to climate change for glaciers with different types in the Himalayas.
DOI: 10.57760/sciencedb.01162
title: FASTA assembly file and annotation file of Hylyphantes graminicola
title: FASTA assembly file and annotation file of Hylyphantes graminicola

description: FASTA assembly file and annotation file of Hylyphantes graminicola were saved in this dataset. A ".gz" file of genome assembly and a GFF file of annotation were included. Long-reads (PacBio), short-reads (Illumina), and Hi-C technology were used to produce the near chromosome-level genome of the sheet-web spider, Hylyphantes graminicola (Linyphiidae). We mainly used software Nextdenovo v2.2 and NextPolish v1.1 to assemble the genome. We applied three strategies for gene structure prediction across the genome: homology-based annotation, de novo prediction, and RNAseq-based annotation. Obtaining high-quality chromosome-level genomes from spiders not only facilitates venom research and toxin resource application, but also can improve comparative genomic analysis in other important traits, like the evolution of silk or behavior.
description: FASTA assembly file and annotation file of Hylyphantes graminicola were saved in this dataset. A ".gz" file of genome assembly and a GFF file of annotation were included. Long-reads (PacBio), short-reads (Illumina), and Hi-C technology were used to produce the near chromosome-level genome of the sheet-web spider, Hylyphantes graminicola (Linyphiidae). We mainly used software Nextdenovo v2.2 and NextPolish v1.1 to assemble the genome. We applied three strategies for gene structure prediction across the genome: homology-based annotation, de novo prediction, and RNAseq-based annotation. Obtaining high-quality chromosome-level genomes from spiders not only facilitates venom research and toxin resource application, but also can improve comparative genomic analysis in other important traits, like the evolution of silk or behavior.
DOI: 10.57760/sciencedb.00832
title: SVM and Randfores Code for DoA monitoring
title: SVM and Randfores Code for DoA monitoring

description: According to Etsevo, during anesthesia induction, we have divided the patient’s depth of sedation into awake, light sedation, and deep sedation and collected 90s of EEG and EOG at each sedation depth for predictive analysis. We included 33 patients’ data into the analysis and obtained 297 pieces of data input into the machine learning method for classification and prediction. In order to study whether sound-evoked EOG has an auxiliary effect on anesthesia monitoring, we combine EEG and EOG features or only input EEG features into the random forest and linear support vector machine for classification tasks.
description: According to Etsevo, during anesthesia induction, we have divided the patient’s depth of sedation into awake, light sedation, and deep sedation and collected 90s of EEG and EOG at each sedation depth for predictive analysis. We included 33 patients’ data into the analysis and obtained 297 pieces of data input into the machine learning method for classification and prediction. In order to study whether sound-evoked EOG has an auxiliary effect on anesthesia monitoring, we combine EEG and EOG features or only input EEG features into the random forest and linear support vector machine for classification tasks.
DOI: 10.57760/sciencedb.00882
title: zhang et al 2021
title: zhang et al 2021

description: Supplementary Information is available for this paper.
description: Supplementary Information is available for this paper.
DOI: 10.57760/sciencedb.01060
title: FR2KG
title: FR2KG

description: First, 1,200 financial research reports were collected. Experts in the financial field analyzed these reports, extracted the plain text from the main body, and saved it in the TXT format as the basic unstructured text corpus. Then, the experts and the knowledge graph team studied these corpora together, designed the schema of the knowledge graph from the perspective of financial business, and performed iterative optimization according to the characteristics of the evaluation, and finally, determined that it contained 10 entity types, 6 entity attributes, and 19 relationships between the entities. Subsequently, these corpora were annotated with the help of the annotation system of the Yuanhai Knowledge Graph Platform, which is a product of DataGrand Inc. The annotation system is specifically used for the annotation of the knowledge graph, and supports the annotation of entities, entity attributes, and relationships between entities. Before annotating, all annotators were trained by financial experts to align their understanding of the schema. All annotated data were reviewed by experts, and then, divided into seed KG and evaluation KG, as described in the previous section. Reference：Wang, W.G., et al.: Data set and evaluation of automated construction of financial knowledge graph. Data Intelligence 3(3), (2021). doi: 10.1162/dint_a_00108
description: First, 1,200 financial research reports were collected. Experts in the financial field analyzed these reports, extracted the plain text from the main body, and saved it in the TXT format as the basic unstructured text corpus. Then, the experts and the knowledge graph team studied these corpora together, designed the schema of the knowledge graph from the perspective of financial business, and performed iterative optimization according to the characteristics of the evaluation, and finally, determined that it contained 10 entity types, 6 entity attributes, and 19 relationships between the entities. Subsequently, these corpora were annotated with the help of the annotation system of the Yuanhai Knowledge Graph Platform, which is a product of DataGrand Inc. The annotation system is specifically used for the annotation of the knowledge graph, and supports the annotation of entities, entity attributes, and relationships between entities. Before annotating, all annotators were trained by financial experts to align their understanding of the schema. All annotated data were reviewed by experts, and then, divided into seed KG and evaluation KG, as described in the previous section. Reference：Wang, W.G., et al.: Data set and evaluation of automated construction of financial knowledge graph. Data Intelligence 3(3), (2021). doi: 10.1162/dint_a_00108
DOI: 10.57760/sciencedb.01099
title: Vegetation Data-Iran, Mazandaran
title: Vegetation Data-Iran, Mazandaran

description: Forest plots data: Vegetation and environmental variables, Iran, Mazandaran, series 11, region 48 - Hyrcanian Forests
description: Forest plots data: Vegetation and environmental variables, Iran, Mazandaran, series 11, region 48 - Hyrcanian Forests
DOI: 10.57760/sciencedb.01117
title: Data set of vegetation coverage in Mongolia from 2000 to 2020
title: 2000-2020年蒙古国植被覆盖度数据集

description: This data set is the annual vegetation coverage data set of Mongolia from 2000 to 2020 calculated by pixel dichotomy model based on MOD13Q1product of MODIS. The data format is TIF and the spatial resolution is 250m. MOD13Q1 is generated every 16 days with a spatial resolution of 250m. MOD13Q1 product provides two main vegetation indexes, normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). NDVI is selected for this data set and synthesized by maximum synthesis method. This data set can provide a reference for the long-term change trend of vegetation in Mongolia.
description: This data set is the annual vegetation coverage data set of Mongolia from 2000 to 2020 calculated by pixel dichotomy model based on MOD13Q1product of MODIS. The data format is TIF and the spatial resolution is 250m. MOD13Q1 is generated every 16 days with a spatial resolution of 250m. MOD13Q1 product provides two main vegetation indexes, normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). NDVI is selected for this data set and synthesized by maximum synthesis method. This data set can provide a reference for the long-term change trend of vegetation in Mongolia.
DOI: 10.57760/sciencedb.01118
title: Raw Metagenomic Sequencing Data of Extracellular Vesicles (EVs) and Their Habitats
title: Raw Metagenomic Sequencing Data of Extracellular Vesicles (EVs) and Their Habitats

description: This dataset is the raw data of metagenomic sequencing, including human faeces (n=8), wastewater (n=5) and park soil (n=10), as well as EVs isolated from these environments. Metagenomic shotgun sequencing libraries were sequenced using HiSeq 2000 platform.
description: This dataset is the raw data of metagenomic sequencing, including human faeces (n=8), wastewater (n=5) and park soil (n=10), as well as EVs isolated from these environments. Metagenomic shotgun sequencing libraries were sequenced using HiSeq 2000 platform.
DOI: 10.57760/sciencedb.01147
title: Proteome raw data of Ovary and Testis in Gigantidas haimaensis.
title: Proteome raw data of Ovary and Testis in Gigantidas haimaensis.

description: The dataset contains 6 samples of proteome of Gigantidas haimaensis ovary and testis gonads. Three samples were ovaries, the other three samples were testis. Because the raw data was too large, it was compressed separately. There are 10 data files for the whole dataset.
description: The dataset contains 6 samples of proteome of Gigantidas haimaensis ovary and testis gonads. Three samples were ovaries, the other three samples were testis. Because the raw data was too large, it was compressed separately. There are 10 data files for the whole dataset.
DOI: 10.57760/sciencedb.01154
title: OPEN-LSTM: A Global 1º×1º Monthly Ocean Heat Content Dataset from Remote Sensing Data Based on a Long Short-Term Memory (LSTM) Method (1993-2020)
title: OPEN-LSTM: A Global 1º×1º Monthly Ocean Heat Content Dataset from Remote Sensing Data Based on a Long Short-Term Memory (LSTM) Method (1993-2020)

description: The OPEN-LSTM dataset estimates Ocean Heat Content (OHC) for upper 2000 m over six different depths (0-100，0-300，0-700，0-1000，0-1500，0-2000 m) at a global scale from 1993 to 2020, based on a Long Short-Term Memory (LSTM) method, via multisource remote sensing observations (SSH, SST, and Winds) combined with Argo-gridded OHC as training data. The resolution of OPEN-LSTM is monthly and one degree, and the time span is from 1993 to 2020. The LSTM neural network method considers long temporal dependence of ocean process to reconstruct a new long time-series OHC dataset (1993-2020) and fill the pre-Argo data gaps from satellite remote sensing observations. The OPEN dataset has been cited by the IPCC AR6 report, and adopted by Big Earth Data in Support of the Sustainable Development Goals (2021) report.
description: The OPEN-LSTM dataset estimates Ocean Heat Content (OHC) for upper 2000 m over six different depths (0-100，0-300，0-700，0-1000，0-1500，0-2000 m) at a global scale from 1993 to 2020, based on a Long Short-Term Memory (LSTM) method, via multisource remote sensing observations (SSH, SST, and Winds) combined with Argo-gridded OHC as training data. The resolution of OPEN-LSTM is monthly and one degree, and the time span is from 1993 to 2020. The LSTM neural network method considers long temporal dependence of ocean process to reconstruct a new long time-series OHC dataset (1993-2020) and fill the pre-Argo data gaps from satellite remote sensing observations. The OPEN dataset has been cited by the IPCC AR6 report, and adopted by Big Earth Data in Support of the Sustainable Development Goals (2021) report.
DOI: 10.57760/sciencedb.00889
title: A dataset of the influencing factors in Chinese College Students Sticking to WeChat
title: A dataset of the influencing factors in Chinese College Students Sticking to WeChat

description: We collected data on Wenjuanxing，which is a professional online survey platform, in December 2019 in China. After a pilot test and a formal survey, we got a dataset (n=352) with the snowball sampling technology. All participants were Chinese college students who had used WeChat at least once per month. They took part in this study anonymously. All items of the questionnaire did not make them upset. In this dataset, the columns of ‘Normative’ (i.e. SN1, SN2, SN3 and SN4) are set as the columns of ‘Peer influence’.
description: We collected data on Wenjuanxing，which is a professional online survey platform, in December 2019 in China. After a pilot test and a formal survey, we got a dataset (n=352) with the snowball sampling technology. All participants were Chinese college students who had used WeChat at least once per month. They took part in this study anonymously. All items of the questionnaire did not make them upset. In this dataset, the columns of ‘Normative’ (i.e. SN1, SN2, SN3 and SN4) are set as the columns of ‘Peer influence’.