Geoscience Data Journal最新文献

{"title":"A database of detrital zircon geochronology ages of Cambrian to Paleogene deposits in South China","authors":"Tianle Xia,&nbsp;Kuizhou Li,&nbsp;Lisha Hu,&nbsp;Zilin Zhao,&nbsp;Yu Huang,&nbsp;Qianli Ma,&nbsp;Liang Qi","doi":"10.1002/gdj3.196","DOIUrl":"10.1002/gdj3.196","url":null,"abstract":"<p>Complications of detrital zircons databases provide a means for statistically analysing a variety of significant geological problems. In this work, we tried to collect a database about the South China Phanerozoic detrital zircon geochronology data. The data statistics of this paper rely on the OneSediment Working Group of The Deep-time Digital Earth program (DDE). By November 2022, the database contains a total of 699 samples with 55,532 U–Pb ages and 3,770 effective Hf isotope data, from 130 papers. Abundant information including reference title, sample ID, locality, rock type, research institution, GPS coordinates, U–Pb ages, ε_Hf(<i>t</i>) values, etc., have been involved in our database, and all data can be downloaded from DDE Data Publish &amp; Repository website, https://repository.deep-time.org/. Through the integrated data, we can improve the previous studies and avoid the waste of resources caused by a large number of repeated studies.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"405-413"},"PeriodicalIF":3.3,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43840686","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}

{"title":"Petrographic composition and heavy minerals in modern river sand: A global database","authors":"Wendong Liang,&nbsp;Xiumian Hu,&nbsp;Eduardo Garzanti,&nbsp;Huaguo Wen,&nbsp;Mingcai Hou","doi":"10.1002/gdj3.219","DOIUrl":"10.1002/gdj3.219","url":null,"abstract":"<p>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.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"443-451"},"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}

{"title":"A database of detrital zircon U–Pb ages and Lu–Hf isotope of sediments in the South China Sea","authors":"Yu Huang,&nbsp;Lisha Hu","doi":"10.1002/gdj3.218","DOIUrl":"10.1002/gdj3.218","url":null,"abstract":"<p>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.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"433-442"},"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}

{"title":"A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016","authors":"Shaukat Ali,&nbsp;Zulfiqar A. Bhutta,&nbsp;Michelle S. Reboita,&nbsp;Muhammad Arif Goheer,&nbsp;Shiva Ebrahimi,&nbsp;Jose Roberto Rozante,&nbsp;Rida S. Kiani,&nbsp;Sher Muhammad,&nbsp;Firdos Khan,&nbsp;Md Mizanur Rahman,&nbsp;Madan L. Shreshta,&nbsp;Li Dan","doi":"10.1002/gdj3.217","DOIUrl":"10.1002/gdj3.217","url":null,"abstract":"<p>Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"292-302"},"PeriodicalIF":3.3,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44364693","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}

{"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,&nbsp;Tianyi Zhang,&nbsp;Xiaoguang Yang","doi":"10.1002/gdj3.220","DOIUrl":"10.1002/gdj3.220","url":null,"abstract":"<p>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.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"303-313"},"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}

{"title":"A global dataset of sandstone detrital composition by Gazzi-Dickinson method","authors":"Xiaolong Dong,&nbsp;Xiumian Hu,&nbsp;Wen Lai,&nbsp;Weiwei Xue,&nbsp;Shijie Zhang,&nbsp;Yiqiu Zhang,&nbsp;Wei An,&nbsp;Haiming Fan,&nbsp;Sijin Chen,&nbsp;Cui Li,&nbsp;Xingyun Wang,&nbsp;Yue Wu,&nbsp;Jinlv Chen,&nbsp;Yajun Zhang,&nbsp;Kun Yu","doi":"10.1002/gdj3.212","DOIUrl":"10.1002/gdj3.212","url":null,"abstract":"<p>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.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"128-136"},"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}

{"title":"Loess microstructure indication indexes for the study of palaeoclimatic conditions in northwest China","authors":"Deng Jin","doi":"10.1002/gdj3.202","DOIUrl":"10.1002/gdj3.202","url":null,"abstract":"<p>The Loess Plateau of China, located to the west of the Liupan Mountains and north of the Qinling Mountains stretching across the Yellow River, is the main loess deposit area in Northwest China. The loess in the northwest of China has deposits with large thickness and extensive distribution. Scanning electron microscopy (SEM) and energy spectrum analysis of loess have been performed to study the relationship between the loess microstructures and the forming climates Era. The relevant indexes were evaluated including the sand-dropping speed (<i>V</i>_n), certain sedimentary depths (<i>h</i>_n sand particle volume (<i>V</i>_d) and element ratios of Ca/Fe, K/Al, Si/Al and Ca/Mg. The microstructure indexes of loess accumulation and evolution reflect paleoclimate conditions and time scales to a certain extent. The important discovery is the microscopic sand-dropping speed (<i>V</i>_n) and the sedimentary depth <i>h</i>_n) calculation method of different sedimentary ages. These indices are compared with the record of major aeolian-forming climates from the Guliya ice core, and provide a reliable benchmark for studying climate change It also can be used as important indicators of monsoonal change and environmental evolution reconstruction. The index of sand sedimentation speed (<i>V</i>_n) got from loess microstructure could reflect sand-dropping speed and loess deposition course. According the article can serve as new indicators of climatic changes of different forming loess layers. It can also be concluded that the climatic indexes obtained from loess microstructure can reflect climate conditions of loess forming. The loess forming climatic parameters are synchronous correspond to Tengger Desert and Guliya ice core for studying climate change, then microscopic parameters can also be used for preliminary analysis of loess climate formation and has be found corresponding evidence, and the loess climatic parameters correspond to the other two indexes. The analysis of loess microstructure indexes is very useful in researching climate change. Loess microstructure indexes can find new indicators and information about the monsoon climate evolution and paleoclimate changes.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"27-45"},"PeriodicalIF":3.2,"publicationDate":"2023-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47048283","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}

{"title":"An image dataset of fusulinid foraminifera generated with the aid of deep learning","authors":"Hanhui Huang,&nbsp;Yukun Shi,&nbsp;Qin Chen,&nbsp;Huiqing Xu,&nbsp;Sicong Song,&nbsp;Yujie Shi,&nbsp;Furao Shen,&nbsp;Junxuan Fan","doi":"10.1002/gdj3.215","DOIUrl":"10.1002/gdj3.215","url":null,"abstract":"<p>Fusulinid foraminifera are among the most common microfossils of the Late Palaeozoic and act as key fossils for stratigraphic correlation, paleogeographic and paleoenvironmental indication, and evolutionary studies of marine life. Accurate and efficient identification forms the basis of such research involving fusulinids but is limited by the lack of digitized image datasets. This article presents the first large image dataset of fusulinids containing 2,400 images of individual samples subjected to 16 genera of all six fusulinid families and labelled to species level. These images were collected from the literature and our unpublished samples through an automatic segmentation procedure implementing BlendMask, a deep learning model. The dataset shows promise for the efficient accumulation of fossil images through automated procedures and will facilitate taxonomists in future morphologic and systematic studies.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"46-56"},"PeriodicalIF":3.2,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.215","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44739527","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}

{"title":"A database of detrital zircon U–Pb ages and Hf isotopic compositions from the Tarim, West Kunlun, Pamir, Tajik and Tianshuihai terranes","authors":"Shijie Zhang,&nbsp;Xiumian Hu,&nbsp;Jinrong Zhang,&nbsp;Qing Li,&nbsp;Yiwei Xu,&nbsp;Yuyang Yu,&nbsp;Liqin Han","doi":"10.1002/gdj3.213","DOIUrl":"10.1002/gdj3.213","url":null,"abstract":"<p>With the development of detrital zircon U–Pb ages and Hf isotope analysis as conventional sedimentological research methods, a large number of studies have been conducted in the Tarim, West Kunlun, Tajik, Pamir and Tianshuihai regions and abundant data have been accumulated. Summarizing these data to characterize sedimentary units and source regions is more important than local studies of specific geological epochs; therefore, we compiled a database of detrital zircon U–Pb ages and Hf isotope analyses from the Tarim, West Kunlun, Pamir, Tajik and Tianshuihai terranes. The database contains data from 90 papers, including 35,281 individual U–Pb ages and 4,181 Hf isotope analyses. The database records the literature source, petrologic sample information, regional geological information, geographic coordinates and analytical parameters for each data point in as much detail as possible to allow readers to review, process, analyse and use the data. The database relies on the Deep-time Digital Earth (DDE) platform and uses an open database update system to enable sharing and collaborative building. We encourage other researchers to contribute relevant published data to facilitate wider use.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"118-127"},"PeriodicalIF":3.2,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.213","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48429877","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}

{"title":"Development of a three-dimensional hydrogeological model for the island of Norderney (Germany) using GemPy","authors":"Patrick Haehnel,&nbsp;Holger Freund,&nbsp;Janek Greskowiak,&nbsp;Gudrun Massmann","doi":"10.1002/gdj3.208","DOIUrl":"10.1002/gdj3.208","url":null,"abstract":"<p>Geological information is required to parameterize hydrogeological properties in groundwater flow models. Our aim was to provide a hydrogeological model for the island of Norderney, Northwest Germany and the surrounding Wadden Sea for this purpose. The model focuses on Holocene, Pleistocene and Pliocene deposits which are the most relevant to groundwater flow in and around the island's freshwater lens. For these geological units, borehole data was available that allowed us to distinguish between sediments acting as aquifers and aquitards. Conceptual units were derived that comprise the most common stratigraphic and petrographic features into discrete entities. The borehole data was supplemented by maps of the pre-Holocene surface as well as data from an existing stratigraphic model for deeper geological units. The model was developed and created using the open-source geological modelling software GemPy. The resulting model contains major hydrogeological units that can be assumed continuous over a larger extent of the model area based on the available data. From the deeper geology, a possible range of locations of the aquifer base below Norderney was extracted. By integrating borehole data, existing geological models and geological interpretations available in the literature, this dataset complements the so far mainly cross-sectional and partial descriptions of the hydrogeology below Norderney.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"267-283"},"PeriodicalIF":3.3,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45106286","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}