cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.00065
title: Characterizing Spatiotemporal Variability of Methane Uptake across a Climate Transect in Inner Mongolia Steppe
title: Characterizing Spatiotemporal Variability of Methane Uptake across a Climate Transect in Inner Mongolia Steppe

description: Grassland soils are important biological sink for atmospheric methane (CH₄), but the strength of CH₄ uptake remains uncertain due to large spatiotemporal variation and the lack of in situ measurements at regional scale. Here, we report the temporal and spatial patterns of CH₄ uptake across a 1200 km transect in Inner Mongolia steppe ecosystems, ranging from meadow steppe in the east plain to typical and desert steppe on the west plateau. In general, the temporal pattern of CH₄ uptake followed a unimodal curve during the growing season, with peak values observed in August. Soil moisture was the dominant factor explaining the temporal pattern of CH₄ uptake. Across the transect, CH₄ uptake showed a skewed unimodal spatial pattern, with the peak rate observed in the typical steppe site and the west plateau generally showing higher uptake rates than the east plain. Together, growing season mean temperature, growing season precipitation, soil pH, and soil total carbon explained 54% of the variance in regional CH₄ uptake, with growing season mean temperature being the dominant driver. These findings are important for model development to more precisely estimate the soil CH₄ sink capacity in arid and semi-arid regions.
description: Grassland soils are important biological sink for atmospheric methane (CH₄), but the strength of CH₄ uptake remains uncertain due to large spatiotemporal variation and the lack of in situ measurements at regional scale. Here, we report the temporal and spatial patterns of CH₄ uptake across a 1200 km transect in Inner Mongolia steppe ecosystems, ranging from meadow steppe in the east plain to typical and desert steppe on the west plateau. In general, the temporal pattern of CH₄ uptake followed a unimodal curve during the growing season, with peak values observed in August. Soil moisture was the dominant factor explaining the temporal pattern of CH₄ uptake. Across the transect, CH₄ uptake showed a skewed unimodal spatial pattern, with the peak rate observed in the typical steppe site and the west plateau generally showing higher uptake rates than the east plain. Together, growing season mean temperature, growing season precipitation, soil pH, and soil total carbon explained 54% of the variance in regional CH₄ uptake, with growing season mean temperature being the dominant driver. These findings are important for model development to more precisely estimate the soil CH₄ sink capacity in arid and semi-arid regions.
DOI: 10.57760/sciencedb.00092
title: A Six-year long High-resolution Air Quality Reanalysis Dataset over China from 2013 to 2018 (monthly and annual version)
title: 2013-2018年中国高分辨率大气污染再分析数据集（月均值和年均值）

description: This dataset is the monthly and annual version of the previously released dataset "A Six-year long High-resolution Air Quality Reanalysis Dataset over China from 2013 to 2018 (DOI: 10.11922/sciencedb.00053)" to meet the needs of different users. The dataset contains 2 zip files, which are the monthly and annual reanalysis data, respectively. For detailed descriptions of this dataset, please refer to DOI: 10.11922/sciencedb.00053.The first version of this datasets (V1)：The period is from 2013 to 2018.The second version of this datasets (V2)：The period is from 2013 to 2019. The time was extended to 2019 based on the same algorithm as the V1.
description: This dataset is the monthly and annual version of the previously released dataset "A Six-year long High-resolution Air Quality Reanalysis Dataset over China from 2013 to 2018 (DOI: 10.11922/sciencedb.00053)" to meet the needs of different users. The dataset contains 2 zip files, which are the monthly and annual reanalysis data, respectively. For detailed descriptions of this dataset, please refer to DOI: 10.11922/sciencedb.00053.The first version of this datasets (V1)：The period is from 2013 to 2018.The second version of this datasets (V2)：The period is from 2013 to 2019. The time was extended to 2019 based on the same algorithm as the V1.
DOI: 10.57760/sciencedb.00256
title: Essential Science Indicators highly cited paper co-citation relationships 2018.3
title: Essential Science Indicators highly cited paper co-citation relationships 2018.3

description: 47,294 highly cited papers in the Essential Science Indicators (ESI) were used to test the proposed visualization approach for science mapping. In our research paper, the highly cited papers were visualized using three network embedding models plus the t-SNE dimensionality reduction technique. Besides, three base maps were created with the same dataset for evaluation purposes. All base maps used the classic OpenOrd method with different edge cutting strategies and parameters. We are publishing the dataset to allow other researchers to create a roughly equivalent experiment based on the highly-cited papers. The download date is 2018 March. File "RF201803_TopPaper_FULL_links.gexf" is the Gephi network file created with 47,294 highly cited paper and all 3.6 million co-citation relationships. File "RF201803_TopPaper_top15_Edges.net" is the network file with the top 15 highest weight edges per node relationships. File "RF201803_TopPaper_UT_FIELD.csv" contains all paper's UT, Field, Publish Year, Cites data. The data downloaded from the Essential Science Indicator web site: https://esi.clarivate.com/
description: 47,294 highly cited papers in the Essential Science Indicators (ESI) were used to test the proposed visualization approach for science mapping. In our research paper, the highly cited papers were visualized using three network embedding models plus the t-SNE dimensionality reduction technique. Besides, three base maps were created with the same dataset for evaluation purposes. All base maps used the classic OpenOrd method with different edge cutting strategies and parameters. We are publishing the dataset to allow other researchers to create a roughly equivalent experiment based on the highly-cited papers. The download date is 2018 March. File "RF201803_TopPaper_FULL_links.gexf" is the Gephi network file created with 47,294 highly cited paper and all 3.6 million co-citation relationships. File "RF201803_TopPaper_top15_Edges.net" is the network file with the top 15 highest weight edges per node relationships. File "RF201803_TopPaper_UT_FIELD.csv" contains all paper's UT, Field, Publish Year, Cites data. The data downloaded from the Essential Science Indicator web site: https://esi.clarivate.com/
DOI: 10.57760/sciencedb.00487
title: Bias-corrected CMIP6 global dataset for dynamical downscaling of the Earth’s historical and future climate (1979–2100)
title: Bias-corrected CMIP6 global dataset for dynamical downscaling of the Earth’s historical and future climate (1979–2100)

description: Dynamical downscaling is an important approach to obtaining fine-scale weather and climate information. However, dynamical downscaling simulations are often degraded by biases in the large-scale forcing itself. We constructed a bias-corrected global dataset based on 18 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) dataset. The bias-corrected data have an ERA5-based mean climate and interannual variance, but with a non-linear trend from the ensemble mean of the 18 CMIP6 models. The dataset spans the historical time period 1979–2014 and future scenarios (SSP245 and SSP585) for 2015–2100 with a horizontal grid spacing of (1.25° × 1.25°) at six-hourly intervals. Our evaluation suggests that the bias-corrected data are of better quality than the individual CMIP6 models in terms of the climatological mean, interannual variance and extreme events. This dataset will be useful for dynamical downscaling projections of the Earth’s future climate, atmospheric environment, hydrology, agriculture, wind power, etc.
description: Dynamical downscaling is an important approach to obtaining fine-scale weather and climate information. However, dynamical downscaling simulations are often degraded by biases in the large-scale forcing itself. We constructed a bias-corrected global dataset based on 18 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and the European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) dataset. The bias-corrected data have an ERA5-based mean climate and interannual variance, but with a non-linear trend from the ensemble mean of the 18 CMIP6 models. The dataset spans the historical time period 1979–2014 and future scenarios (SSP245 and SSP585) for 2015–2100 with a horizontal grid spacing of (1.25° × 1.25°) at six-hourly intervals. Our evaluation suggests that the bias-corrected data are of better quality than the individual CMIP6 models in terms of the climatological mean, interannual variance and extreme events. This dataset will be useful for dynamical downscaling projections of the Earth’s future climate, atmospheric environment, hydrology, agriculture, wind power, etc.
DOI: 10.57760/sciencedb.00694
title: Efficacy of compound Danshen dropping pills on diabetic peripheral neuropathy: a systematic review and meta-analysis of randomized controlled trials
title: Efficacy of compound Danshen dropping pills on diabetic peripheral neuropathy: a systematic review and meta-analysis of randomized controlled trials

description: Diabetic peripheral neuropathy (DPN) is one of the most common neurological complications of diabetes mellitus, which brings diabetic patients much physical pain and living inconvenience. At present, although there are many clinical treatments of DPN by compound Danshen dripping pills (CDDP), there has been no certain meta-analysis to ensure the safety and positive effectiveness of those treatments. The purpose of this study was to evaluate the clinical features of CDDP in treating DPN. This data set is mainly the PRISMA checklist involved in the meta-analysis.
description: Diabetic peripheral neuropathy (DPN) is one of the most common neurological complications of diabetes mellitus, which brings diabetic patients much physical pain and living inconvenience. At present, although there are many clinical treatments of DPN by compound Danshen dripping pills (CDDP), there has been no certain meta-analysis to ensure the safety and positive effectiveness of those treatments. The purpose of this study was to evaluate the clinical features of CDDP in treating DPN. This data set is mainly the PRISMA checklist involved in the meta-analysis.
DOI: 10.57760/sciencedb.00050
title: Attached table of the article "parent history differently influence the risks for dialogues, prediabetes, and improved insight secret in Chinese"
title: 文章“Parental History Differentially Influence the Risksfor Diabetes, Prediabetes,and Impaired Insulin Secretion in Chinese的”附表文件

description: Attached table of the article "parent history differently influence the risks for dialogues, prediabetes, and improved insight secret in Chinese" Authors：Xiaomu Kong, Bo Zhang, Xiaoping Chen, Xiaoyan Xing, Zhaojun Yang, Wenying Yang
description: Attached table of the article "parent history differently influence the risks for dialogues, prediabetes, and improved insight secret in Chinese" Authors：Xiaomu Kong, Bo Zhang, Xiaoping Chen, Xiaoyan Xing, Zhaojun Yang, Wenying Yang
DOI: 10.57760/sciencedb.00275
title: Vector data set of mariculture area in 2020
title: 2020年海水养殖区矢量数据集

description: Based on the data of GF1, GF2 and sentinel-2 in 2020, the AI remote sensing interpretation of key coastal mariculture areas in China is carried out. The distribution range, quantity and area of aquaculture areas are extracted and classified. The types of aquaculture areas are divided into ordinary cage culture and raft culture, which can be used to assist information statistics, planning and verification, output value estimation, fishery aquaculture subsidy accounting, fishery insurance, and health insurance State investigation, etc.
description: Based on the data of GF1, GF2 and sentinel-2 in 2020, the AI remote sensing interpretation of key coastal mariculture areas in China is carried out. The distribution range, quantity and area of aquaculture areas are extracted and classified. The types of aquaculture areas are divided into ordinary cage culture and raft culture, which can be used to assist information statistics, planning and verification, output value estimation, fishery aquaculture subsidy accounting, fishery insurance, and health insurance State investigation, etc.
DOI: 10.57760/sciencedb.00474
title: Mercury Stable Isotopes in soil-Rice Plants at the Wanshan Mercury Mine
title: Mercury Stable Isotopes in soil-Rice Plants at the Wanshan Mercury Mine

description: Mercury mining in the Wanshan Mine has lasted for &gt; 2000 years since the Qin Dynasty. Large-scale Hg mining has been officially banned in the WMM since 2003; however, long-term mining and smelting activities have resulted in the intense release of Hg to nearby farmlands, where rice is commonly grown. Fortunately, understanding of the bioaccumulation of Hg in rice plants has been improved by the Hg isotopic tracer tech. The data set we provided here is to promote our knowledge on understanding the isotope fractionation of Hg during the uptake of Hg from paddy soil-water and the atmosphere by rice roots and leaves, respectively. We believe that this work will bring new enlightenment to soil mercury remediation for us. The data set of mercury concentration and isotopic compositions for “Understanding the Bioaccumulation of Mercury in Rice Plants at the Wanshan Mercury Mine, China: Using Stable Mercury Isotopes” submitted in JGR: BIOGEOSCIENCES. The dataset contains two tables. Table S1 explains Hg concentrations, TGM(total gaseous mercury), and stable isotope fraction (‰) in soil and corresponding root and leaf of rice at abandoned mining sites. Table S2 explains Hg concentrations, TGM, and stable isotope fraction in soil and corresponding root and leaf of rice at artisanal smelting sites.
description: Mercury mining in the Wanshan Mine has lasted for &gt; 2000 years since the Qin Dynasty. Large-scale Hg mining has been officially banned in the WMM since 2003; however, long-term mining and smelting activities have resulted in the intense release of Hg to nearby farmlands, where rice is commonly grown. Fortunately, understanding of the bioaccumulation of Hg in rice plants has been improved by the Hg isotopic tracer tech. The data set we provided here is to promote our knowledge on understanding the isotope fractionation of Hg during the uptake of Hg from paddy soil-water and the atmosphere by rice roots and leaves, respectively. We believe that this work will bring new enlightenment to soil mercury remediation for us. The data set of mercury concentration and isotopic compositions for “Understanding the Bioaccumulation of Mercury in Rice Plants at the Wanshan Mercury Mine, China: Using Stable Mercury Isotopes” submitted in JGR: BIOGEOSCIENCES. The dataset contains two tables. Table S1 explains Hg concentrations, TGM(total gaseous mercury), and stable isotope fraction (‰) in soil and corresponding root and leaf of rice at abandoned mining sites. Table S2 explains Hg concentrations, TGM, and stable isotope fraction in soil and corresponding root and leaf of rice at artisanal smelting sites.
DOI: 10.57760/sciencedb.00511
title: Sea Ice Concentration Products over Polar Regions with FY-3C/MWRI Data (2016-2019）
title: Sea Ice Concentration Products over Polar Regions with FY-3C/MWRI Data (2016-2019）

description: Polar sea ice affects atmospheric and ocean circulation and plays an important role in global climate change. Long-time-series sea ice concentration is an important parameter for climate research. Sea ice concentration (SIC) products over the Antarctic and Arctic in 2016-2019 were supplied based on the brightness temperature (Tb) data of the FY-3C Microwave Radiation Imager (MWRI). With the Tb data of SSMIS as a reference, monthly calibration models were established based on time-space matching and linear regression. After calibration, the correlation coefficients between the BT of F17/SSMIS and FY-3C/MWRI at different channels were effectively improved. Atmospheric effects were reduced using two weather filters and a sea ice mask. A minimum ice concentration array used in the procedure reduced the land-to-ocean spillover effect.
description: Polar sea ice affects atmospheric and ocean circulation and plays an important role in global climate change. Long-time-series sea ice concentration is an important parameter for climate research. Sea ice concentration (SIC) products over the Antarctic and Arctic in 2016-2019 were supplied based on the brightness temperature (Tb) data of the FY-3C Microwave Radiation Imager (MWRI). With the Tb data of SSMIS as a reference, monthly calibration models were established based on time-space matching and linear regression. After calibration, the correlation coefficients between the BT of F17/SSMIS and FY-3C/MWRI at different channels were effectively improved. Atmospheric effects were reduced using two weather filters and a sea ice mask. A minimum ice concentration array used in the procedure reduced the land-to-ocean spillover effect.
DOI: 10.57760/sciencedb.00620
title: A dataset of building instances of typical cities in China
title: 中国典型城市建筑物实例数据集

description: Building contour data is an important part of basic geographic information. The performance of building automatic extraction is driven by a large number of training samples. To enrich the publicly datasets of cities in China, we created a building instance dataset that is sourced from high-resolution remote sensing images and was manually and interactively annotated. This dataset consists of 7,260 samples of regions including 63,886 building instances in the cities of Beijing, Shanghai, Shenzhen and Wuhan, China. The annotations of the dataset consist of MS COCO 2017 format files and the corresponding building mask binary maps. This dataset provides fundamental data for the research of building detection and extraction from high-resolution remote sensing images.
description: Building contour data is an important part of basic geographic information. The performance of building automatic extraction is driven by a large number of training samples. To enrich the publicly datasets of cities in China, we created a building instance dataset that is sourced from high-resolution remote sensing images and was manually and interactively annotated. This dataset consists of 7,260 samples of regions including 63,886 building instances in the cities of Beijing, Shanghai, Shenzhen and Wuhan, China. The annotations of the dataset consist of MS COCO 2017 format files and the corresponding building mask binary maps. This dataset provides fundamental data for the research of building detection and extraction from high-resolution remote sensing images.
DOI: 10.57760/sciencedb.00715
title: Mitogenome of Moricella rufonota Rohwer, 1916
title: 线粒体基因组-樟叶蜂

description: The mitochondrial genome of moricella rufonota was assembled by mitoz without parameters, and the related species were assembled with parameters. The results were verified by Geneious software. The tRNA gene was annotated by MITOS server, and the protein coding gene was annotated by comparing the genome sequences of related species. All sequences can only be read by Geneious software.
description: The mitochondrial genome of moricella rufonota was assembled by mitoz without parameters, and the related species were assembled with parameters. The results were verified by Geneious software. The tRNA gene was annotated by MITOS server, and the protein coding gene was annotated by comparing the genome sequences of related species. All sequences can only be read by Geneious software.
DOI: 10.57760/sciencedb.00742
title: Consumers as Naive Physicists
title: Consumers as Naive Physicists

description: This dataset consists of data for five experiments reported in the main manuscript for our paper's third round of review.
description: This dataset consists of data for five experiments reported in the main manuscript for our paper's third round of review.
DOI: 10.57760/sciencedb.00854
title: raw data for“Predominantly symplastic phloem unloading of photosynthates maintains efficient starch accumulation in the cassava storage roots (Manihot esculenta Crantz)”
title: 木薯卸载途径

description: Cassava (Manihot esculenta Crantz) efficiently accumulates starch in its storage roots. However, how photosynthates are transported from the leaves to the phloem (especially how they are unloaded into parenchymal cells of storage roots) remains unclear. Results: Here, we investigated the sucrose unloading pattern and its impact on cassava storage root development using microstructural and physiological analyses, namely, carboxyfluorescein (CF) and C14 isotope tracing. The expression profiling of genes involved in symplastic and apoplastic transport was performed, which included enzyme activity, protein gel blot analysis, and transcriptome sequencing analyses. These finding showed that carbohydrates are transported mainly in the form of sucrose, and more than 54.6% was present in the stem phloem. Sucrose was predominantly unloaded symplastically from the phloem into storage roots;
description: Cassava (Manihot esculenta Crantz) efficiently accumulates starch in its storage roots. However, how photosynthates are transported from the leaves to the phloem (especially how they are unloaded into parenchymal cells of storage roots) remains unclear. Results: Here, we investigated the sucrose unloading pattern and its impact on cassava storage root development using microstructural and physiological analyses, namely, carboxyfluorescein (CF) and C14 isotope tracing. The expression profiling of genes involved in symplastic and apoplastic transport was performed, which included enzyme activity, protein gel blot analysis, and transcriptome sequencing analyses. These finding showed that carbohydrates are transported mainly in the form of sucrose, and more than 54.6% was present in the stem phloem. Sucrose was predominantly unloaded symplastically from the phloem into storage roots;
DOI: 10.26183/zn7s-gh79
title: Extended MNIST (EMNIST) dataset
DOI: 10.57760/sciencedb.00871
title: spatial temporal data of foodborne disease
title: spatial temporal data of foodborne disease

description: This data is Beijing's foodborne disease case data used for spatial temporal risk prediction of foodborne disease. The data includes the daily number of foodborne disease cases in various districts of Beijing from 2015 to 2019.
description: This data is Beijing's foodborne disease case data used for spatial temporal risk prediction of foodborne disease. The data includes the daily number of foodborne disease cases in various districts of Beijing from 2015 to 2019.
DOI: 10.57760/sciencedb.00838
title: The sequencing data of NIPT-PLUS and CNV-seq
title: NIPT-PLUS和CNV-Seq的测序数据

description: File "NIPT-PLUS" is the original nipt-plus sequencing data of the sample; File "F1-CNV" is the original CNV-seq sequencing data of fetus F1; File "F2-CNV" is the original CNV-seq sequencing data of fetus F2
description: File "NIPT-PLUS" is the original nipt-plus sequencing data of the sample; File "F1-CNV" is the original CNV-seq sequencing data of fetus F1; File "F2-CNV" is the original CNV-seq sequencing data of fetus F2