Geoscience Data Journal最新文献

{"title":"A brief introduction to the detrital zircon U–Pb and Hf isotopic datasets for mainland China and adjacent regions","authors":"Jianghai Yang,&nbsp;Ping Wang,&nbsp;Hu Huang,&nbsp;Xiumian Hu","doi":"10.1002/gdj3.229","DOIUrl":"10.1002/gdj3.229","url":null,"abstract":"<p>Improvements in analytical technique and data processing lead to a large deposit of detrital zircon U–Pb and Hf isotopic data in published journal articles, thesis and reports. With the support of Deep-time Digital Earth Big Science Program, OneSediment Project conducted a team-working effort to assemble the detrital zircon U–Pb and Hf isotopic data for mainland China and adjacent regions. Entity-relationship diagram was constructed for detrital zircon data to determine what information need to be collected. Researchers and students from 13 institutions were organized together to fulfil this task and generated 13 detrital zircon datasets. The assembled datasets totally include 6635 samples and 560,596 analyses. The samples were checked in terms of lithology and stratigraphy according to the latest stratigraphic framework. Collected detrital zircon U–Pb and Hf isotopic data were recalculated for the best U–Pb age and εHf(t) values. They can be used to track crustal growth, tectonic evolution, provenance analysis and palaeogeographical change in regional and, when combined with other dataset, global scales.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"531-537"},"PeriodicalIF":3.3,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.229","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135168515","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 synthesis of available detrital zircon data from the Qilian-Qaidam-Kunlun collage, northern Tibet","authors":"Weidong He,&nbsp;Jiaopeng Sun,&nbsp;Yunpeng Dong,&nbsp;Tao Qian,&nbsp;Teng Wang,&nbsp;Lei He,&nbsp;Yukun Qi","doi":"10.1002/gdj3.225","DOIUrl":"10.1002/gdj3.225","url":null,"abstract":"<p>In this article, we present a brief introduction to the procedure, methods and results of the collection and summarization of an updated detrital zircon U–Pb geochronology database for the Qilian-Qaidam-Kunlun collage in northern Tibet. A total of 620 samples with 59,830 raw data were compiled from 121 published papers, including 70 samples with in-situ detrital zircon Lu–Hf isotopes. Samples from seven different geologic subunits are categorized. For sediments with different ages of deposition, we highlight the characteristics of age spans, probability density distributions, major peaks and εHf(t) values. Further syntheses of this metadata collection, the detailed raw data of which will be periodically accessible in the Deep-Time Digital Earth repository, would be effectively applied to a variety of scientific attempts concerning the geologic history of the Qilian-Qaidam-Kunlun collage, in particular, provenance analyses, crustal evolution studies and supercontinent reconstructions.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"465-478"},"PeriodicalIF":3.3,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135618077","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":"Building a multi-scale, collaborative, and time-integrated digital crust: The next stage of the Macrostrat data system","authors":"Daven P. Quinn,&nbsp;Casey R. Idzikowski,&nbsp;Shanan E. Peters","doi":"10.1002/gdj3.189","DOIUrl":"10.1002/gdj3.189","url":null,"abstract":"<p>Macrostrat is a platform for deep-time geoscientific research that integrates stratigraphic columns and geologic maps into a digital description of the crust. The database and supporting software track crustal evolution and provide location-based geological information to geoscience end users. Macrostrat houses multiple scales of mapping and stratigraphic data, from continent- and basin level summaries to single quadrangles and measured sections. Currently, Macrostrat's primary data holdings consist of regional stratigraphic columns with a spatial footprint weighted heavily to North America. While the data are of sufficient scale and resolution to generate insights about Earth evolution, increasing resolution and expanding spatial coverage will allow a new generation of scientific and interpretive uses. The next phase of Macrostrat's development will increase the detail and complexity of Macrostrat's multiscale data holdings, largely by engaging a wider range of geoscientists in entering stratigraphic data. To support broad collaboration, we are building new web-based software to assemble and visualize regional stratigraphic sequences, refine multiple working age models, and compose regional records from measured stratigraphic sections. These tools will allow Macrostrat to draw on the expertise of a wide range of geoscience workers and grow a dataset with global relevance and a variety of end uses. New capabilities will pave the way to processes for submission, review, coordination, and assimilation of community-contributed stratigraphic datasets. Digital compilation of geological maps and columns requires substantial effort, and well-designed systems for distributing this work in the geoscience community will allow Macrostrat to build more adaptable and scientifically relevant products.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"11-26"},"PeriodicalIF":3.2,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135889913","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":"The London, Paris and De Bilt sub-daily pressure series","authors":"Richard C. Cornes,&nbsp;Phil D. Jones,&nbsp;Theo Brandsma,&nbsp;Denis Cendrier,&nbsp;Sylvie Jourdain","doi":"10.1002/gdj3.226","DOIUrl":"10.1002/gdj3.226","url":null,"abstract":"<p>The construction of sub-daily pressure series is described for the cities of London (GB) and Paris (FR). The series extend back 1692 and 1748, respectively, and as such they represent two of the longest sub-daily series of barometric pressure available. These series are updated from the previously documented London and Paris daily series and offer more homogeneous series, and in the case of the London series a more temporally complete sequence of data. A pairwise homogenization procedure has been applied to the two series alongside the long series of pressure that exists for De Bilt (NL). The De Bilt series has been available for some time in the International Surface Pressure Dataset (ISPD), but further quality control and homogeneity-checking procedures have been applied to the data in this paper and therefore the three series are released together in this dataset. The series are of immediate interest for understanding changes to storm activity across the English Channel and North Atlantic region over an extended timeframe but may also be assimilated into reanalysis datasets such as the 20th-century reanalysis.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"330-341"},"PeriodicalIF":3.3,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136034212","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":"Continued atmospheric electric field measurements following cessation of the long-term water dropper potential equalizer at Kakioka, Japan","authors":"Masashi Kamogawa,&nbsp;Tomoyuki Suzuki,&nbsp;Yasuhiro Minamoto,&nbsp;Toshiyasu Nagao,&nbsp;Tetsuya Kodama,&nbsp;Hironobu Fujiwara,&nbsp;Takeshi Kudo","doi":"10.1002/gdj3.224","DOIUrl":"10.1002/gdj3.224","url":null,"abstract":"<p>Surface atmospheric electric field (AEF) measurements were conducted using a Kelvin water dropper equalizer by the Japan Meteorological Agency's geomagnetic observatory at Kakioka, Ibaraki Prefecture, Japan, from 1929 to February 28, 2021. To obtain AEF data successive to the water dropper measurement, we independently installed the field mills at Kakioka. In this present study, we estimated the calibration coefficients based on comparisons between the water dropper and the field mills through parallel observations over 3 days. The results revealed that the new observations could be regarded as continuous data. Our new data from the field mills in this study have begun the process of being distributed in GLObal Coordination of Atmospheric Electricity Measurements (GloCAEM) as both archived and real-time data in 1 min and 1 s samplings.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"342-350"},"PeriodicalIF":3.3,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.224","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918397","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":"Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes","authors":"Lovemore Chipindu,&nbsp;Walter Mupangwa,&nbsp;Isaiah Nyagumbo,&nbsp;Mainassara Zaman-Allah","doi":"10.1002/gdj3.228","DOIUrl":"10.1002/gdj3.228","url":null,"abstract":"<p>Analysis of hydro-climatological time series and spatiotemporal dynamics of meteorological variables has become critical in the context of climate change, especially in Southern African countries where rain-fed agriculture is predominant. In this work, we compared modern unsupervised time series and segmentation approaches and commonly used time series models to analyse rainfall regime changes in the coastal, sub-humid and semi-arid regions of Southern Africa. Rainfall regimes change modelling and prediction inform farming strategies especially when choosing measures for mixed crop–livestock farming systems, as farmers can decide to do rainwater harvesting and moisture conservation or supplementary irrigation if water resources are available. The main goal of this study was to predict/identify rainfall cluster trends over time using regression with hidden logistic process (RHLP) or hidden Markov model regression (HMMR) supplemented by autoregressive integrated moving average (ARIMA) and Facebook Prophet models. Historical time series rainfall data was sourced from meteorological services departments for selected site over an average period of 55 years. Commonly used approaches forecasted an upward rainfall trend in the coastal and sub-humid regions and a declining trend in semi-arid areas with high variability between and within seasons. For all sites, Ljung-Box Test Statistics suggested the existence of autocorrelation in rainfall time series data. Prediction capabilities were investigated using the root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) which indicated not much difference between ARIMA and Facebook Prophet models. RHLP and HMMR offered a unique clustering and segmentation approach examining between and within-season rainfall variability. A maximum of 20 unique rainfall clusters with similar trend characteristics were determined as going beyond this brought non-significant difference to regime changes. A clear trend was exhibited from 1980 going backwards as compared to recent years signifying how unpredictable is rainfall in Southern Africa. The unsupervised approaches predicted a clear cluster trend in coastal than in sub-humid and semi-arid and the performance was assessed using Akaike information criteria and log-likelihood which showed improvement in prediction power as the number of segmentation clusters approaches 20.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"514-530"},"PeriodicalIF":3.3,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.228","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858570","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":"Digitization of weather records of Seungjeongwon Ilgi: A historical weather dynamics dataset of the Korean Peninsula in 1623–1910","authors":"Zeyu Lyu,&nbsp;Kohei Ichikawa,&nbsp;Yongchao Cheng,&nbsp;Hisashi Hayakawa,&nbsp;Yukiko Kawamoto","doi":"10.1002/gdj3.227","DOIUrl":"10.1002/gdj3.227","url":null,"abstract":"<p>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, <i>Seungjeongwon Ilgi</i>, 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 <i>Seungjeongwon Ilgi</i> 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.</p>","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}

{"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,&nbsp;Zhenjie Zhang,&nbsp;Jie Yang,&nbsp;Guoxiong Chen,&nbsp;Guopeng Wu,&nbsp;Yongzhi Wang,&nbsp;Qiuming Cheng","doi":"10.1002/gdj3.223","DOIUrl":"10.1002/gdj3.223","url":null,"abstract":"<p>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.</p>","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}

{"title":"Digitizing weather observations from World War II US naval ship logbooks","authors":"Praveen Teleti,&nbsp;Ed Hawkins,&nbsp;Kevin R. Wood","doi":"10.1002/gdj3.222","DOIUrl":"10.1002/gdj3.222","url":null,"abstract":"<p>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.</p>","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}

{"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,&nbsp;Zhipeng Lin,&nbsp;Zhongpeng Han,&nbsp;Xinhang Wang,&nbsp;Chengshan Wang","doi":"10.1002/gdj3.221","DOIUrl":"10.1002/gdj3.221","url":null,"abstract":"<p>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.</p>","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}