Scientific Data最新文献_第4页

A generated image repository of aging faces. 生成的图像库老化的面孔。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-10-01 DOI: 10.1038/s41597-025-05909-6

Anna Pot, Laura L Carstensen

引用次数: 0

Decoding the Peruvian Amazon with in situ DNA barcoding of vertebrate and plant taxa. 用脊椎动物和植物分类群的原位DNA条形码解码秘鲁亚马逊雨林。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-10-01 DOI: 10.1038/s41597-025-05697-z

Pamela Sánchez-Vendizú, Gideon Erkenswick, Jhakelin Reyes, Samantha López Clinton, Thalía Silvestre Espejo, Gabriela Cáceres, Zane Libke, Alejandra Arana, Jorge Mendoza-Silva, Cristian Tirapelle, Sean Williams, Varun Swamy, José Martínez-Altamirano, Juan Esteves, Juan P Barnuevo-Bullón, Jacqueline Hernández-Mejía, Xiomara Caffo, Alejandro Mendevil Malpica, Roberto Salazar-Aragón, Leticia Gutiérrez-Jiménez, Jennifer Stabile, Naija Cuzmar, Timothy D Paine, Priscila Peralta-Aguilar, Giancarlo Inga-Díaz, Jesus Lescano, Andrés Viñas-Martínez, Mary E McElroy, Daxs Coayla, Liza-María Linares R, Nicholas W Pilfold, Alexandra J Sacco, Mónica Arakaki, José Luis Mena, Mathias W Tobler, Letty Salinas, César Arana, Víctor Pacheco, Stefan Prost, Mrinalini Watsa

{"title":"Decoding the Peruvian Amazon with in situ DNA barcoding of vertebrate and plant taxa.","authors":"Pamela Sánchez-Vendizú, Gideon Erkenswick, Jhakelin Reyes, Samantha López Clinton, Thalía Silvestre Espejo, Gabriela Cáceres, Zane Libke, Alejandra Arana, Jorge Mendoza-Silva, Cristian Tirapelle, Sean Williams, Varun Swamy, José Martínez-Altamirano, Juan Esteves, Juan P Barnuevo-Bullón, Jacqueline Hernández-Mejía, Xiomara Caffo, Alejandro Mendevil Malpica, Roberto Salazar-Aragón, Leticia Gutiérrez-Jiménez, Jennifer Stabile, Naija Cuzmar, Timothy D Paine, Priscila Peralta-Aguilar, Giancarlo Inga-Díaz, Jesus Lescano, Andrés Viñas-Martínez, Mary E McElroy, Daxs Coayla, Liza-María Linares R, Nicholas W Pilfold, Alexandra J Sacco, Mónica Arakaki, José Luis Mena, Mathias W Tobler, Letty Salinas, César Arana, Víctor Pacheco, Stefan Prost, Mrinalini Watsa","doi":"10.1038/s41597-025-05697-z","DOIUrl":"10.1038/s41597-025-05697-z","url":null,"abstract":"Species extinctions in the tropics are accelerating, outpacing documentation efforts. Meanwhile, DNA barcoding is flourishing in the Global North, backed by extensive infrastructure, allowing non-taxonomic experts to identify species from nonlethal, minimally invasive, and environmental samples. However, hyper-diverse regions like Peru make up only 0.52% (n = 93,246) of the Barcode of Life Database (BOLD). To address this, we established three decentralized laboratories with low-cost, portable nanopore sequencers. From 2018-2023, we generated 1,858 barcodes in situ using six genetic markers for 1,097 vertebrates and 76 plants from existing and new biobanks. We present the first genetic barcodes for 30 mammal and 196 bird species from Peruvian specimens, increasing the number of Peruvian mammal and bird species in BOLD by 110% and 36.5% respectively. We also report the first records of the marsupial Marmosops ocellatus and the bat Sturnira lilium for Peru. This dataset represents an effort to go from fresh or museum-preserved samples to barcodes entirely in situ, avoiding the export of samples outside the country, and facilitating local capacity in molecular biodiversity research.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1545"},"PeriodicalIF":6.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12488867/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quality controlled, reliable groundwater level data with corresponding specific yield over India. 质量控制，可靠的地下水位数据与相应的具体产量在印度。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-10-01 DOI: 10.1038/s41597-025-05899-5

Satish Kumar Kuruva, Maya Raghunath Suryawanshi, Amin Shakya, Chethan Va, Balaram Shaw, Vandana Sukumaran, Retinder Kour, Aayushi Kochar, Shard Chander, Bhaskar R Nikam, Nagesh Kumar Dasika, Bramha Dutt Vishwakarma

{"title":"Quality controlled, reliable groundwater level data with corresponding specific yield over India.","authors":"Satish Kumar Kuruva, Maya Raghunath Suryawanshi, Amin Shakya, Chethan Va, Balaram Shaw, Vandana Sukumaran, Retinder Kour, Aayushi Kochar, Shard Chander, Bhaskar R Nikam, Nagesh Kumar Dasika, Bramha Dutt Vishwakarma","doi":"10.1038/s41597-025-05899-5","DOIUrl":"10.1038/s41597-025-05899-5","url":null,"abstract":"Groundwater is a vital resource for domestic, agricultural, and industrial use, with its demand growing due to population growth and climate change. Several studies have identified groundwater depleting in India at unsustainable rate over North-west part, but a contrasting trend is observed in the southern India. To better study groundwater dynamics quality-controlled and reliable well data is essential, which is missing. Here we process seasonal groundwater levels from 32,299 wells across India to obtain reliable well data and provide respective specific yields. Initially, wells with no data and negative values are removed. Later three-sigma method is imposed on each well to eliminate outliers. Finally, wells with at least two values per year, with no value repeating more than twice consecutively, are retained, resulting in 2,759 reliable wells. We used vectorization-based method to classify aquifer types and estimated specific yields based on hydrogeological map. We also provide open access to data and scripts so that researchers can study groundwater variations, compare GRACE and model-based groundwater estimates against in-situ well data.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1609"},"PeriodicalIF":6.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12489037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework. CPVPD-2024：基于地形增强深度学习框架的中国光伏电站数据集。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05891-z

Yang Yang, Shaofu Lin, Rongtian Lu, Xiliang Liu

{"title":"CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework.","authors":"Yang Yang, Shaofu Lin, Rongtian Lu, Xiliang Liu","doi":"10.1038/s41597-025-05891-z","DOIUrl":"10.1038/s41597-025-05891-z","url":null,"abstract":"As the largest global photovoltaic (PV) market, China experiences continuous rapid growth in PV installed capacity, playing a crucial role in achieving carbon peaking and neutrality goals through this central pillar of the energy transition. To address data fragmentation and inconsistency in current PV datasets, this study develops the 2024 China Photovoltaic Power Plant Vector Dataset (CPVPD-2024) using a deep semantic segmentation framework (DSFA-SwinNet) with geospatial verification. The dataset comprehensively covers all 34 provincial-level administrative regions of China, achieving an overall Precision of 90.38% and Intersection over Union (IoU) of 81.78% in test zones, demonstrating significant improvements in identifying PV array gaps and detecting small-scale distributed power plants. Research results indicate that the total installed PV area in China reached 4,520.47 km² by 2024, exhibiting a characteristic spatial pattern dominated by agrivoltaic systems with concentrated distribution in arid regions. As the first national panel-level PV vector dataset, it enables precise PV site selection, ecological assessments, and AI-driven remote sensing analysis.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1601"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12485098/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chromosome-level genome assemblies of Thai cassava ecotypes (Manihot esculenta & Manihot glaziovii). 泰国木薯生态型（Manihot esculenta & Manihot glaziovii）染色体水平基因组组装。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05998-3

Sebastian Beier, Marie Elizabeth Bolger, Yindee Chanvivattana, Anthony Michael Bolger, Maximilian Heinrich-Wilhelm Schmidt, Oranuch Leelapon, Rungroj Rakmit, Kulnida Changmai, Ratiporn Ruayreun, Sukanya Srithundon, Duangjit Totaiya, Boriphat Sitchanukrit, Björn Usadel, Prapit Wongtiem, Suwaluk Amawan, Tobias Wojciechowski

{"title":"Chromosome-level genome assemblies of Thai cassava ecotypes (Manihot esculenta & Manihot glaziovii).","authors":"Sebastian Beier, Marie Elizabeth Bolger, Yindee Chanvivattana, Anthony Michael Bolger, Maximilian Heinrich-Wilhelm Schmidt, Oranuch Leelapon, Rungroj Rakmit, Kulnida Changmai, Ratiporn Ruayreun, Sukanya Srithundon, Duangjit Totaiya, Boriphat Sitchanukrit, Björn Usadel, Prapit Wongtiem, Suwaluk Amawan, Tobias Wojciechowski","doi":"10.1038/s41597-025-05998-3","DOIUrl":"10.1038/s41597-025-05998-3","url":null,"abstract":"Cassava is a vital staple crop, yet genomic resources for diverse ecotypes, particularly from key regions, remain limited. To address this, we generated high-quality genome assemblies for nine Thai M. esculenta cultivars and one wild relative, Manihot glaziovii. The sequencing strategy combined Oxford Nanopore long reads for initial assembly with Illumina short reads for polishing and quality assessment. For five of the genotypes, extensive RNA-Seq data from various tissues and developmental stages were also produced to guide gene annotation. We provide detailed technical validation of the ten genome assemblies, reporting on key metrics of contiguity (N50s from 28.9 to 35.2 Mb), completeness (Complete BUSCO scores from 95.69% to 99.21%), and base-level accuracy (k-mer QV scores from 33.47 to 37.67). The final annotated assemblies and all raw sequencing data have been deposited in public archives and are readily accessible. These datasets represent a significant expansion of the genomic toolkit for Asian cassava, providing a foundational resource for future genetic discovery, comparative genomics, and advanced breeding applications.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1591"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12485058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A high-quality chromosome-scale genome assembly of the wild sorghum (Sorghum virgatum). 高质量的野生高粱（高粱）染色体规模基因组组装。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05907-8

Xiaojian Fang, Leina Zhou, Zhongwei Lin

引用次数: 0

Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022. 2022年德国和西班牙最终用途部门的城市能源消耗和排放分类。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05938-1

Shruthi Patil, Noah Pflugradt, Jann M Weinand, Jürgen Kropp, Detlef Stolten

{"title":"Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022.","authors":"Shruthi Patil, Noah Pflugradt, Jann M Weinand, Jürgen Kropp, Detlef Stolten","doi":"10.1038/s41597-025-05938-1","DOIUrl":"10.1038/s41597-025-05938-1","url":null,"abstract":"Sectorally-detailed municipal energy consumption and emissions datasets are crucial for localized policy-making, resource allocation, and climate action planning. While some large municipalities develop bottom-up inventories, smaller ones often lack the capacity to do so. Existing studies have spatially disaggregated national totals, yet no dataset to date provides both energy consumption and emissions data across multiple sectors at the municipal level. This study addresses that gap by disaggregating national final energy consumption and emissions data in 2022 to the municipal level for Germany and Spain. The dataset covers five key end-use sectors: industry, transport, agriculture, households, and commerce. Where available, sub-sectors such as passenger and freight transport, or specific industries like chemical and paper manufacturing are further considered for disaggregation. Two main challenges are addressed: the limited availability of municipal-level proxies and the presence of missing values in proxy datasets. We apply XGBoost for imputation and implement a step-wise disaggregation using regional statistics. Using only open data, we ensure replicability, and assign confidence ratings to all values to support transparent interpretation.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1608"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12485169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BIRDBASE: A Global Dataset of Avian Biogeography, Conservation, Ecology and Life History Traits. BIRDBASE：全球鸟类生物地理、保护、生态学和生活史特征数据集。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05615-3

Çağan H Şekercioğlu, Kyle D Kittelberger, Flavio M M Mota, Amy N Buxton, Nikolas Orton, Adara DeNiro, Evan R Buechley, Joshua J Horns, Judson D Blount, Jason Socci, Montague H C Neate-Clegg

{"title":"BIRDBASE: A Global Dataset of Avian Biogeography, Conservation, Ecology and Life History Traits.","authors":"Çağan H Şekercioğlu, Kyle D Kittelberger, Flavio M M Mota, Amy N Buxton, Nikolas Orton, Adara DeNiro, Evan R Buechley, Joshua J Horns, Judson D Blount, Jason Socci, Montague H C Neate-Clegg","doi":"10.1038/s41597-025-05615-3","DOIUrl":"10.1038/s41597-025-05615-3","url":null,"abstract":"Trait datasets play a crucial role in advancing ecological, biogeographical and evolutionary studies and in prioritizing global conservation efforts. Birds are the best-known major group of organisms and comprise excellent environmental indicators. With their diverse traits, birds offer valuable insights into the provisioning of critical ecological functions and how animals adapt to global change. BIRDBASE is a global avian trait dataset that provides an up-to-date compilation of ecological traits for all birds. With 78 traits from 11,589 bird species in 254 families, and data on 6%-16% more species than the previous avian trait datasets, BIRDBASE includes all the bird species recognized by the four major avian taxonomies. BIRDBASE is also the first avian trait dataset that covers all the species in AviList, the new unified global avian checklist. As the most comprehensive avian trait dataset, BIRDBASE will enable new meta-analyses in ornithology, conservation biology and macroecology, expand our ability to understand the origins and maintenance of biodiversity, help quantify avian responses to global change, and inform international conservation efforts.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1558"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Svalbard Marginal Ice Zone 2024: A distributed network of temperature, waves, and sea ice drift observations. 斯瓦尔巴群岛边缘冰带2024：温度、波浪和海冰漂移观测的分布式网络。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05889-7

Malte Müller, Jean Rabault, Chiara de Geeter, Cyril Palerme, Bikas Chandra Bhattarai, Fabrice Collard, Steinar Eastwood, Sylvain Herlédan, Gaute Hope, Nick Hughes, Marius O Jonassen, Jørn Kristiansen, Frank Nilsen, Olaf Weisser

{"title":"Svalbard Marginal Ice Zone 2024: A distributed network of temperature, waves, and sea ice drift observations.","authors":"Malte Müller, Jean Rabault, Chiara de Geeter, Cyril Palerme, Bikas Chandra Bhattarai, Fabrice Collard, Steinar Eastwood, Sylvain Herlédan, Gaute Hope, Nick Hughes, Marius O Jonassen, Jørn Kristiansen, Frank Nilsen, Olaf Weisser","doi":"10.1038/s41597-025-05889-7","DOIUrl":"10.1038/s41597-025-05889-7","url":null,"abstract":"The coupling of weather, sea-ice, ocean, and wave forecasting systems has been a research priority for improving Arctic prediction capabilities. However, the complexity of the underlying physical processes and the difficulty of obtaining observations on representative spatial and temporal scales present significant challenges, particularly in the Marginal Ice Zone (MIZ). The primary objective of the Svalbard Marginal Ice Zone Campaign 2024 (SvalMIZ-24) was to establish a network of observations with a spatial distribution that enables a representative comparison between in situ measurements and gridded model data. The key variables that were measured are air and surface temperatures, sea-ice drift, and wave energy spectra. Within the main observation period, a persistent cold air outbreak as well as a warm air intrusion event, coinciding with the formation of an intense wave system propagating into the MIZ was captured. This dataset provides valuable insights into atmosphere-ice-ocean interactions in the MIZ and serves as a resource for future studies, model validation, and intercomparison efforts aimed at improving Arctic forecasting systems.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1599"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers. 一个纵向数据集的瓷砖和相应的皮肤镜图像与元数据用于识别皮肤癌。

IF 6.9 2区综合性期刊

Scientific Data Pub Date : 2025-09-30 DOI: 10.1038/s41597-025-05880-2

Nima Ghahari, Liam Caffery, Brigid Betz-Stablein, Adam Mothershaw, Dilki Jayasinghe, Clare Primiero, Shekhar S Chandra, Joachim Torrano, H Peter Soyer, Monika Janda

{"title":"A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers.","authors":"Nima Ghahari, Liam Caffery, Brigid Betz-Stablein, Adam Mothershaw, Dilki Jayasinghe, Clare Primiero, Shekhar S Chandra, Joachim Torrano, H Peter Soyer, Monika Janda","doi":"10.1038/s41597-025-05880-2","DOIUrl":"10.1038/s41597-025-05880-2","url":null,"abstract":"Machine learning classification algorithms have emerged as promising tools to support the early detection of skin cancers. Existing algorithms typically assess malignancy of skin lesions based on a single skin image. This is in contrast with how clinicians integrate information from their physical examination, comparing multiple skin lesions of an individual and changes in lesions over time. Including contextual information could greatly enhance machine learning algorithms. However, contextual information in skin image datasets is predominantly scarce and inconsistent. Additionally, a dataset containing images of the same lesion across multiple time points and varying resolutions is also lacking. To address these gaps, we present a comprehensive dataset derived from skin monitoring of 480 study participants recruited from a general population sample (n = 196) and a high-risk for melanoma cohort (n = 284). This dataset includes images of 250,162 skin lesions obtained from three-dimensional total body imaging (tile images), along with corresponding dermoscopic images of 9,389 lesions. For 340 of the participants, longitudinal tile and dermoscopic images (ranging from 2 to 7) are provided.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1602"},"PeriodicalIF":6.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0