Geoscience Data Journal最新文献_第7页

Digitization of weather records of Seungjeongwon Ilgi: A historical weather dynamics dataset of the Korean Peninsula in 1623–1910 Seungjeongwon Ilgi 气象记录数字化：1623-1910年朝鲜半岛历史天气动态数据集

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-10-05 DOI: 10.1002/gdj3.227

Zeyu Lyu, Kohei Ichikawa, Yongchao Cheng, Hisashi Hayakawa, Yukiko Kawamoto

{"title":"Digitization of weather records of Seungjeongwon Ilgi: A historical weather dynamics dataset of the Korean Peninsula in 1623–1910","authors":"Zeyu Lyu, Kohei Ichikawa, Yongchao Cheng, Hisashi Hayakawa, Yukiko Kawamoto","doi":"10.1002/gdj3.227","DOIUrl":"10.1002/gdj3.227","url":null,"abstract":"Historical weather records from Europe indicate that the Earth experienced substantial climate variability, which caused, for instance, the Little Ice Age and the global crisis in the period between the 14th and 19th centuries. However, it is still unclear how global this climate variability was because of the scarce meteorological data availability in other regions including East Asia, especially around the 17th century. In this context, Seungjeongwon Ilgi, a daily record of the Royal Secretariat of the Joseon Dynasty of Korea, is a precious source of historical meteorological records for the Korean Peninsula, as it covers 288 years of weather observations made during 1623–1910. We used the digital database of Seungjeongwon Ilgi to construct a machine-readable weather condition dataset. To this end, we extracted valid weather information from the original weather description text and compiled them into pre-defined weather categories. Additionally, we attempted to improve the usability of dataset by converting the reported dates in the traditional calendar system to those in the Gregorian calendar. Finally, we outlined promising implications of this dataset for meteorological and climatological studies, while describing the limitations of the dataset. Overall, future studies focusing on the climate and weather of the past could use this meteorological database for investigating long-term climate variability. Our datasets are publicly available at 10.5281/zenodo.8382243.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"504-513"},"PeriodicalIF":3.3,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135483583","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 2D seismic reflection dataset of the Caosiyao giant porphyry Mo deposit in the shallow coverage area in Jining, Inner Mongolia, China 中国内蒙古集宁浅层覆盖区草寺窑巨型斑岩钼矿床二维地震反射数据集

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-25 DOI: 10.1002/gdj3.223

Kunqi Lin, Zhenjie Zhang, Jie Yang, Guoxiong Chen, Guopeng Wu, Yongzhi Wang, Qiuming Cheng

{"title":"A 2D seismic reflection dataset of the Caosiyao giant porphyry Mo deposit in the shallow coverage area in Jining, Inner Mongolia, China","authors":"Kunqi Lin, Zhenjie Zhang, Jie Yang, Guoxiong Chen, Guopeng Wu, Yongzhi Wang, Qiuming Cheng","doi":"10.1002/gdj3.223","DOIUrl":"10.1002/gdj3.223","url":null,"abstract":"Prospecting for and exploiting buried mineral deposits is currently challenging. Given their high precision and resolution, reflection seismic methods might be useful in such applications involving deep mineral deposits. However, there are few open seismic datasets available from mineral deposit exploration, especially in hardrock environments. The world-class Caosiyao porphyry Molybdenum deposit (1.76 Mt) in the Jining area of Inner Mongolia, China, is largely covered by loess layers, which poses challenges to its exploration. Seismic reflection surveys were conducted to help delineate the deep granite porphyry intrusions and associated orebodies. This paper presents the raw seismic reflection dataset from three profiles on the Caosiyao deposit area, which can be used as a standard dataset for reflection seismic processing in shallow coverage and hardrock areas. Situated at the juxtaposition of the Khondalite Belt and the Trans-North China Orogen in the northern North China Craton, the Jining region hosts considerable known porphyry Mo deposits. As such, this open dataset can assist in research on deep geological structures and hence increase prospecting efficiency in geologically similar areas.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"57-68"},"PeriodicalIF":3.2,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135864747","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

Digitizing weather observations from World War II US naval ship logbooks 将二战美国海军舰船航海日志中的气象观测数据数字化

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-18 DOI: 10.1002/gdj3.222

Praveen Teleti, Ed Hawkins, Kevin R. Wood

{"title":"Digitizing weather observations from World War II US naval ship logbooks","authors":"Praveen Teleti, Ed Hawkins, Kevin R. Wood","doi":"10.1002/gdj3.222","DOIUrl":"10.1002/gdj3.222","url":null,"abstract":"The number and coverage of weather observations over the oceans were considerably reduced during World War II (WW2) due to disruptions to normal trade routes. The observations that do exist for this period are often unavailable to science as they are still only available as paper records or scanned images. We have rescued the detailed hourly weather observations contained in more than 28,000 logbook images of the US Navy Pacific Fleet stationed at Hawai'i during 1941–1945 to produce a dataset of more than 630,000 records. Each record contains the date and time, positional information and several meteorological measurements, totalling more than 3 million individual observations. The data rescue process consisted of a citizen science project asking volunteers to transcribe the observations from the available images, followed by additional quality control processes. This dataset not only contains hourly weather observations of air temperature, sea surface temperature, atmospheric pressure, wind speed and wind direction, mainly in the Pacific Ocean but also includes some observations from the Atlantic and Indian Oceans. The new observations are found to be of good quality by inter-comparing independent measurements taken on ships travelling in convoy and by comparing with the 20th-Century Reanalysis. This dataset provides invaluable instrumental weather observations at times and places during WW2, which fill gaps in existing reconstructions.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"314-329"},"PeriodicalIF":3.3,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135153521","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

Quaternary sediment datasets for spatial distribution and accumulation on the Yarlung Tsangpo River Basin based on remote sensing and field on-site measurements 基于遥感和现场实地测量的雅鲁藏布江流域第四纪沉积物空间分布和堆积数据集

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-09-10 DOI: 10.1002/gdj3.221

Yalige Bai, Zhipeng Lin, Zhongpeng Han, Xinhang Wang, Chengshan Wang

{"title":"Quaternary sediment datasets for spatial distribution and accumulation on the Yarlung Tsangpo River Basin based on remote sensing and field on-site measurements","authors":"Yalige Bai, Zhipeng Lin, Zhongpeng Han, Xinhang Wang, Chengshan Wang","doi":"10.1002/gdj3.221","DOIUrl":"10.1002/gdj3.221","url":null,"abstract":"Quaternary unconsolidated sediments are pronouncedly widespread features on the planetary surface, documenting significant geological signals of earth surface processes, climate change and biogeochemical cycles. The extensive unconsolidated deposits play a vital role in natural hazards and Anthropogenic activities, especially in alpine regions where massive unconsolidated materials are produced. However, the spatial distribution and total volume of unconsolidated sediments across the Yarlung Tsangpo River Basin (YTRB) remain largely unknown due to the limitation of traditional field surveys and on-site measurements as well as the complex landscape in the remote area. This study presents the datasets for the systematic distribution and spatial accumulation of unconsolidated sediments across the Yarlung Tsangpo River Basin, southern Tibet. Combining remotely sensed data with numerous field investigations, an integrated method based on image processing and kriging interpolation-pixel integration was performed to semi-automatically classify and quantify the unconsolidated sediments. Eleven categories of sediments were mapped and their total accumulation is estimated at approximately 4.97 × 1011 t. Ultimately, 17 groups of classification and thickness maps were derived, revealing the distribution and volume of unconsolidated and Quaternary sediments. The datasets fill the gaps in comprehensive investigations of unconsolidated sediments for YTRB, and provide a fundamental database to support the scientific understanding of potential linkages between the distribution of unconsolidated sediments with environmental changes and human activities.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"452-464"},"PeriodicalIF":3.3,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.221","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136072499","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 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":"11 4","pages":"385-393"},"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

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":"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}

引用次数: 0