Geoscience Data Journal最新文献_第6页

A database of detrital zircon U–Pb ages and Hf isotope of Precambrian strata in South China 华南前寒武纪地层碎屑锆石U-Pb年龄和Hf同位素数据库

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.194

Chengzhang Luo, Liang Qi, Tianle Xia

{"title":"A database of detrital zircon U–Pb ages and Hf isotope of Precambrian strata in South China","authors":"Chengzhang Luo, Liang Qi, Tianle Xia","doi":"10.1002/gdj3.194","DOIUrl":"10.1002/gdj3.194","url":null,"abstract":"Detrital zircon U–Pb chronology database of Precambrian deposits provides a context for the interpretation of the origin and evolution of ancient crust. Here, we tried to summarize the published literature containing detrital zircon U–Pb ages and Hf isotope data of Precambrian deposits in South China and then established a database, which contains details of information, such as reference, sample ID, locality, rock type, research institution, GPS coordinates, U–Pb ages and εHf(t) values. The data statistics of this paper rely on the OneSediment Working Group of The Deep-time Digital Earth program (DDE). By November 2022, 610 samples with 38,278 U–Pb ages and 8,798 Lu-Hf isotope data were collected from 136 papers, and these data can be downloaded from DDE Data Publish & Repository website, https://repository.deep-time.org/. The purpose of the establishment of the dataset is to provide guidance and convenience for the research direction of future generations in South China and to improve the previous studies through the integrated data to avoid the waste of resources caused by a large number of repeated studies.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45950853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","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 database of detrital zircon U–Pb ages in the North China Craton from the Paleoproterozoic to the early Palaeozoic 华北克拉通古元古代至早古生代碎屑锆石U–Pb年龄数据库

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.192

Yiming Dong, Pengfei Zuo, Zihan Xiao, Yilan Zhao, Deshun Zheng, Fengbo Sun, Yu Li

引用次数: 0

Detrital zircon U–Pb and Hf isotopic dataset for the Central Asian Orogenic Belt, northern China 中国北部中亚造山带碎屑锆石U–Pb和Hf同位素数据集

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.214

Linxi Wang, Ning Huo, Guanzhe Jiang, Chao Han, Jingxian Sun, Hu Huang

引用次数: 0

A synthesis of available detrital zircon data from Turkey, Cyprus and Greek peninsula 土耳其、塞浦路斯和希腊半岛现有碎屑锆石资料的综合

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.216

Guohui Chen, Chao Li, Yifan Shi, Kaijie Zha

引用次数: 0

A database of detrital zircon geochronology ages of Cambrian to Paleogene deposits in South China 华南寒武系—古近系碎屑锆石年代学数据库

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.196

Tianle Xia, Kuizhou Li, Lisha Hu, Zilin Zhao, Yu Huang, Qianli Ma, Liang Qi

引用次数: 0

A database of detrital zircon U–Pb ages and Lu–Hf isotope of sediments in the South China Sea 南海沉积物碎屑锆石U–Pb年龄和Lu–Hf同位素数据库

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.218

Yu Huang, Lisha Hu

{"title":"A database of detrital zircon U–Pb ages and Lu–Hf isotope of sediments in the South China Sea","authors":"Yu Huang, Lisha Hu","doi":"10.1002/gdj3.218","DOIUrl":"10.1002/gdj3.218","url":null,"abstract":"Source-to-sink analysis examines the effects of source areas and basin (sink) dynamics on the generation, transport, composition, distribution and deposition of sediment in modern and ancient sedimentary systems. Detrital zircon, as one of the most stable detrital minerals, its U–Pb geochronology and geochemistry is pivotal for sedimentary provenance analysis and reconstructing palaeogeography. The South China Sea (SCS), as the largest marginal sea in the Southeast Asia, is closely related to the uplift of the Tibetan Plateau and the evolution of Chinese rivers. In this study, we mainly collect published detrital zircon of Cenozoic sediments in the SCS (include Hainan and Taiwan Islands). These detrital zircon were concentrated on Cenozoic multiple episodic rift basins in the northern part of the SCS. A total of 21,760 detrital zircon U–Pb data from 293 samples and 995 detrital zircon Lu-Hf isotope data from 22 samples were collected in this dataset, with the main study epochs being the Palaeogene and Neogene. Best ages of these grains are range from 4,691 to 10 Ma and more than half of them within age less than 500 Ma. The 176Hf/177Hf ratios of the SCS samples ranging from 0.280509 to 0.28306 and the εHf(t) values from −63.8 to 24.6. The main age group of the SCS Cenozoic sediments were at 130–95 Ma, 175–130 Ma and 265–230 Ma. The detrital zircon U–Pb age and Lu–Hf isotope data contained in this dataset is an important geological record of the sedimentary and tectonic evolution of the SCS and the evolution of rivers such as the ancient Pearl River and the ancient Red River, which can provide a basis and important clues or exploring the source of sediments in the SCS, the dynamical processes of basin evolution, the evolution of the coastal drainage system and the tectonic uplift of the Tibetan Plateau.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.218","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46751766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Petrographic composition and heavy minerals in modern river sand: A global database 现代河砂中的岩石组成和重矿物:一个全球数据库

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-07 DOI: 10.1002/gdj3.219

Wendong Liang, Xiumian Hu, Eduardo Garzanti, Huaguo Wen, Mingcai Hou

{"title":"Petrographic composition and heavy minerals in modern river sand: A global database","authors":"Wendong Liang, Xiumian Hu, Eduardo Garzanti, Huaguo Wen, Mingcai Hou","doi":"10.1002/gdj3.219","DOIUrl":"10.1002/gdj3.219","url":null,"abstract":"In the case of modern river sediments, source rocks, tectonic setting, and climatic and geomorphological conditions are fully known, diagenetic effects are by definition none, and physical and chemical processes during erosion, transport, and deposition can be investigated directly in any required detail. Their study thus provides the fundamental information needed to understand the impact of various controls on sediment generation and sediment routing systems in diverse geological settings. With the growing interest in source-to-sink sedimentary systems for economic purposes, researchers have focused more and more on modern environments, producing an ever-increasing amount of compositional data on river sediments. To better integrate and utilize these large datasets, we systematically compiled a global database of 4,208 fluvial sediment samples compiled from 100 published papers, book chapters, and dissertations and included 3,747 petrographic and 1,943 heavy-mineral analyses. The analysed samples are mostly located in Asia, Africa, Europe, and South America, with fewer examples from North America and Oceania. Each sample is complemented by metadata describing references, river name, geographic location, sampling date, analytical method, and grain size, so that samples can be grouped and filtered to meet different needs including comparison with other datasets.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43602752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","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 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016 1981 - 2016年孟加拉国、尼泊尔和巴基斯坦日温度和降水的5公里格网产品发展

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-06 DOI: 10.1002/gdj3.217

Shaukat Ali, Zulfiqar A. Bhutta, Michelle S. Reboita, Muhammad Arif Goheer, Shiva Ebrahimi, Jose Roberto Rozante, Rida S. Kiani, Sher Muhammad, Firdos Khan, Md Mizanur Rahman, Madan L. Shreshta, Li Dan

引用次数: 0

CN-N: A gridded dataset of nitrogen rate for rice, wheat and maize in China developed using the county-level nitrogen statistics CN‐N:利用县级氮素统计数据建立了中国水稻、小麦和玉米氮素施用量网格化数据集

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-04 DOI: 10.1002/gdj3.220

Wenmeng Zhang, Tianyi Zhang, Xiaoguang Yang

{"title":"CN-N: A gridded dataset of nitrogen rate for rice, wheat and maize in China developed using the county-level nitrogen statistics","authors":"Wenmeng Zhang, Tianyi Zhang, Xiaoguang Yang","doi":"10.1002/gdj3.220","DOIUrl":"10.1002/gdj3.220","url":null,"abstract":"Existing agricultural nitrogen datasets in China are mostly developed using coarse national or provincial statistics. A crop-specific nitrogen rate dataset based on the finest-scale agricultural nitrogen statistics at the county level remains lacking. Here, we constructed a new dataset (CN-N), which provides annual nitrogen rates for rice, wheat and maize in China at a 1-km spatial resolution from 2004 to 2016. This dataset was developed by harmonizing county-level and provincial agricultural nitrogen statistics with gridded crop distribution maps, resulting in 13 years of nitrogen rate maps for each crop covering 2004–2016. Validation against farmers' surveys by crop indicates CN-N reliably quantifies average nitrogen rates and trends for each crop over 2004–2016, demonstrating improved spatial heterogeneity compared to previous datasets rasterized using only provincial statistics. Our study provides a crop-specific, temporally consistent, gridded nitrogen rate dataset based on the finest-scale county-level agricultural nitrogen statistics. This can support future process-based modelling for sustainable agricultural nitrogen management strategies.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48115168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","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 global dataset of sandstone detrital composition by Gazzi-Dickinson method 用Gazzi - Dickinson方法建立砂岩碎屑组成的全球数据集

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-01 DOI: 10.1002/gdj3.212

Xiaolong Dong, Xiumian Hu, Wen Lai, Weiwei Xue, Shijie Zhang, Yiqiu Zhang, Wei An, Haiming Fan, Sijin Chen, Cui Li, Xingyun Wang, Yue Wu, Jinlv Chen, Yajun Zhang, Kun Yu

{"title":"A global dataset of sandstone detrital composition by Gazzi-Dickinson method","authors":"Xiaolong Dong, Xiumian Hu, Wen Lai, Weiwei Xue, Shijie Zhang, Yiqiu Zhang, Wei An, Haiming Fan, Sijin Chen, Cui Li, Xingyun Wang, Yue Wu, Jinlv Chen, Yajun Zhang, Kun Yu","doi":"10.1002/gdj3.212","DOIUrl":"10.1002/gdj3.212","url":null,"abstract":"Detrital composition of sandstone is the most important data for siliciclastic studies including sandstone classification, provenance analysis, oil and gas exploration. A large amount of detrital composition data has accumulated over the past decades, however, they are scattered in publications without unified standards. Here we constructed a global dataset of detrital components of sandstones from 646 peer-reviewed publications using Gazzi-Dickinson method. A total of 19,861 samples from Precambrian to Quaternary are involved in this dataset. For each sample, we present details on reference information, geographic information, geological background, depositional age and the original data. It is a high-quality dataset for the information on each sandstone sample from different studies which was standardized. The dataset can be used widely, such as for stratigraphic comparison, provenance analysis, exploring the general laws of the source-to-sink process and geological engineering.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.212","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42534364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0