Geoscience Data Journal最新文献

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A convection-permitting dynamically downscaled dataset over the Midwestern United States 美国中西部上空允许对流的动态缩小数据集
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-05-11 DOI: 10.1002/gdj3.188
Abraham Lauer, Jesse Devaney, Chanh Kieu, Ben Kravitz, Travis A. O'Brien, Scott M. Robeson, Paul W. Staten, The Anh Vu
{"title":"A convection-permitting dynamically downscaled dataset over the Midwestern United States","authors":"Abraham Lauer,&nbsp;Jesse Devaney,&nbsp;Chanh Kieu,&nbsp;Ben Kravitz,&nbsp;Travis A. O'Brien,&nbsp;Scott M. Robeson,&nbsp;Paul W. Staten,&nbsp;The Anh Vu","doi":"10.1002/gdj3.188","DOIUrl":"10.1002/gdj3.188","url":null,"abstract":"<p>Climate change is expected to have far-reaching effects at both the global and regional scale, but local effects are difficult to determine from coarse-resolution climate studies. Dynamical downscaling can provide insight into future climate projections on local scales. Here, we present a new dynamically downscaled dataset for Indiana and the surrounding regions. Output from the Community Earth System Model (CESM) version 1 is downscaled using the Weather Research and Forecasting model (WRF). Simulations are run with a 24-hr reinitialization strategy and a 12-hr spin-up window. WRF output is bias corrected to the National Centers for Environmental Protection/National Center for Atmospheric Research 40-year Reanalysis project (NCEP) using a modified quantile mapping method. Bias-corrected 2-m air temperature and accumulated precipitation are the initial focus, with additional variables planned for future releases. Regional climate change signals agree well with larger global studies, and local fine-scaled features are visible in the resulting dataset, such as urban heat islands, frontal passages, and orographic temperature gradients. This high-resolution climate dataset could be used for down-stream applications focused on impacts across the domain, such as urban planning, energy usage, water resources, agriculture and public health.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 4","pages":"429-446"},"PeriodicalIF":3.2,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43661851","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
Detrital zircon U–Pb ages and Hf isotope analyses of modern and Quaternary sediments in China: A new dataset with preliminary analysis 中国现代和第四纪沉积物碎屑锆石U-Pb年龄和Hf同位素分析:一个新数据集及其初步分析
IF 3.3 3区 地球科学
Geoscience Data Journal Pub Date : 2023-05-08 DOI: 10.1002/gdj3.193
Xiyun Chen, Ping Wang, Hongsen Xie, Longchen Zhu, Xia Liao, Xinggong Kong
{"title":"Detrital zircon U–Pb ages and Hf isotope analyses of modern and Quaternary sediments in China: A new dataset with preliminary analysis","authors":"Xiyun Chen,&nbsp;Ping Wang,&nbsp;Hongsen Xie,&nbsp;Longchen Zhu,&nbsp;Xia Liao,&nbsp;Xinggong Kong","doi":"10.1002/gdj3.193","DOIUrl":"10.1002/gdj3.193","url":null,"abstract":"<p>Developments of detrital zircon geochronology have resulted in an explosion of publications that report or discuss detrital zircon data. Combined detrital zircon U–Pb ages with Hf isotope analyses from modern and Quaternary sediments have been widely carried out with the aim of characterizing continental crustal evolution and tracing sediment provenance. Although several detrital zircon databases have compiled U–Pb and Hf data on global scale, the dataset of detrital zircon with a special focus on modern sediment has rarely been compiled. Here, we publish a new detrital zircon dataset of modern and Quaternary sediments in China with 59,535 U–Pb ages and 4,971 Hf isotope data, with detailed information of isotope ratios, ages, Th/U, etc. Four types of sediments have been classified according to sedimentary environments, including fluvial, marine, aeolian and alluvial sediments. Preliminary analysis is carried out on these compiled data to provide new insights into sedimentary provenance and crustal evolution in China. Eight age populations are identified corresponding to tectonic–thermal or magmatic events, including 2,300–2,700 Ma, 1,800–2,000 Ma, 700–1,000 Ma, 400–500 Ma, 200–300 Ma, 120–200 Ma, 80–120 Ma and &lt; 60 Ma. Accompanying with quantitative comparison between sediments from various sedimentary environments, these U–Pb age distributions reveal the provenance link between “source” and “sink” in both exorheic and endorheic drainages. The compiled ε<sub>Hf</sub>(<i>t</i>) data reflect that the crustal history of China is apparently episodic, whose pattern is similar to that of global record. Further work will be implemented for database construction, including the integration of latest literatures, AI-based data extraction and data aggregation.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"374-384"},"PeriodicalIF":3.3,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42542850","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 isotopes for the Middle East (Iranian and Arabian plates) 中东(伊朗板块和阿拉伯板块)碎屑锆石 U-Pb 年龄和 Hf 同位素数据库
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-04-10 DOI: 10.1002/gdj3.187
Gaoyuan Sun, Jianuo Chen
{"title":"A database of detrital zircon U–Pb ages and Hf isotopes for the Middle East (Iranian and Arabian plates)","authors":"Gaoyuan Sun,&nbsp;Jianuo Chen","doi":"10.1002/gdj3.187","DOIUrl":"10.1002/gdj3.187","url":null,"abstract":"<p>The detrital zircon records significant information in the ‘source-sink’ system. With the application of in situ laser ablation technology, a large number of high-quality detrital zircon data have been published since 2000. In this study, a total of 41,342 detrital zircon U–Pb ages and 6,129 Hf isotopes were compiled from the published literatures of the Middle East (Iranian and Arabian plates). Through data filtering and recalculation, valid data were employed for further analysis. The detrital zircons from the Middle East show a Cambrian–Precambrian age population of 500–1,000 Ma, with a major age peak of ~620 Ma and dispersed εHf(t) values of −35 to +20. The Alborz Mountains and central Iran terrane show a Permo–Triassic age range of 200–300 Ma. The Mesozoic–Cenozoic detrital zircons are mostly occurred in the Zagros orogenic belt and Makran accretionary complex, with three obvious age ranges of 145–180 Ma, 80–110 Ma and 15–65 Ma. The Mesozoic zircons yield positive εHf(t) values, while Cenozoic zircons have varied εHf(t) values. This database allows for the further exploration of the provenance analysis and application in constraining the timing of the major tectonic events in the Middle East, and may also help to explore the affinities of plates, thus guiding future palaeogeographic research efforts.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"107-117"},"PeriodicalIF":3.2,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50954339","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 dataset of sandstone detrital composition from Qinghai-Tibet Plateau 青藏高原砂岩碎屑组成数据集
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-15 DOI: 10.1002/gdj3.184
Wen Lai, Xiumian Hu, Xiaolong Dong, Anlin Ma
{"title":"A dataset of sandstone detrital composition from Qinghai-Tibet Plateau","authors":"Wen Lai,&nbsp;Xiumian Hu,&nbsp;Xiaolong Dong,&nbsp;Anlin Ma","doi":"10.1002/gdj3.184","DOIUrl":"10.1002/gdj3.184","url":null,"abstract":"<p>As a hot topic in Earth sciences, the Qinghai-Tibet Plateau has accumulated a large amount of sedimentary-related data. We constructed a dataset of detrital components for Qinghai-Tibet Plateau from 63 peer-reviewed publications. The dataset thus comprises 1813 Late Proterozoic to Pleistocene sandstones from 84 stratigraphic units. For each sample, we present details on reference, detrital composition, GPS, geographic location, depositional age, tectonic setting and depositional environment. It becomes a high-quality dataset after the information on each sandstone sample was standardized and reviewed by sedimentary experts. The dataset can be used for regional geoscience studies, exploring the general laws of the source-to-sink process. The dataset may also be useful in the field of utilities, such as assisting in finding suitable building stones, helping oil and gas and mineral exploration, and so forth.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"86-93"},"PeriodicalIF":3.2,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46828568","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
Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately 使用P - late - T构造工具和GP - late的py - GP - late深时时空数据分析
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-14 DOI: 10.1002/gdj3.185
Ben R. Mather, R. Dietmar Müller, Sabin Zahirovic, John Cannon, Michael Chin, Lauren Ilano, Nicky M. Wright, Christopher Alfonso, Simon Williams, Michael Tetley, Andrew Merdith
{"title":"Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately","authors":"Ben R. Mather,&nbsp;R. Dietmar Müller,&nbsp;Sabin Zahirovic,&nbsp;John Cannon,&nbsp;Michael Chin,&nbsp;Lauren Ilano,&nbsp;Nicky M. Wright,&nbsp;Christopher Alfonso,&nbsp;Simon Williams,&nbsp;Michael Tetley,&nbsp;Andrew Merdith","doi":"10.1002/gdj3.185","DOIUrl":"10.1002/gdj3.185","url":null,"abstract":"<p>PyGPlates is an open-source Python library to visualize and edit plate tectonic reconstructions created using GPlates. The Python API affords a greater level of flexibility than GPlates to interrogate plate reconstructions and integrate with other Python workflows. GPlately was created to accelerate spatio-temporal data analysis leveraging pyGPlates and PlateTectonicTools within a simplified Python interface. This object-oriented package enables the reconstruction of data through deep geologic time (points, lines, polygons and rasters), the interrogation of plate kinematic information (plate velocities, rates of subduction and seafloor spreading), the rapid comparison between multiple plate motion models, and the plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio-temporal analysis over multiple CPU processors.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"3-10"},"PeriodicalIF":3.2,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44685375","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
Issue Information 问题信息
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-03-01 DOI: 10.1111/teth.12609
{"title":"Issue Information","authors":"","doi":"10.1111/teth.12609","DOIUrl":"https://doi.org/10.1111/teth.12609","url":null,"abstract":"","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42359427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance GeoDeepShovel:一个在人工智能帮助下从地学文献中建立科学数据库的平台
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-02-28 DOI: 10.1002/gdj3.186
Shao Zhang, Hui Xu, Yuting Jia, Ying Wen, Dakuo Wang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
{"title":"GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance","authors":"Shao Zhang,&nbsp;Hui Xu,&nbsp;Yuting Jia,&nbsp;Ying Wen,&nbsp;Dakuo Wang,&nbsp;Luoyi Fu,&nbsp;Xinbing Wang,&nbsp;Chenghu Zhou","doi":"10.1002/gdj3.186","DOIUrl":"10.1002/gdj3.186","url":null,"abstract":"<p>With the rapid development of big data science, the research paradigm in the field of geosciences has also begun to shift to big data-driven scientific discovery. Researchers need to read a huge amount of literature to locate, extract and aggregate relevant results and data that are published and stored in PDF format for building a scientific database to support the big data-driven discovery. In this paper, based on the findings of a study about how geoscientists annotate literature and extract and aggregate data, we proposed GeoDeepShovel, a publicly available AI-assisted data extraction system to support their needs. GeoDeepShovel leverages state-of-the-art neural network models to support researcher(s) easily and accurately annotate papers (in the PDF format) and extract data from tables, figures, maps, etc., in a human–AI collaboration manner. As a part of the Deep-Time Digital Earth (DDE) program, GeoDeepShovel has been deployed for 8 months, and there are already 400 users from 44 geoscience research teams within the DDE program using it to construct scientific databases on a daily basis, and more than 240 projects and 50,000 documents have been processed for building scientific databases.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 4","pages":"519-537"},"PeriodicalIF":3.2,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44436857","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
Evolution of symmetry index in minerals 矿物中对称指数的演化
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2023-01-14 DOI: 10.1002/gdj3.177
Marko Bermanec, Noa Vidović, Liubomyr Gavryliv, Shaunna M. Morrison, Robert M. Hazen
{"title":"Evolution of symmetry index in minerals","authors":"Marko Bermanec,&nbsp;Noa Vidović,&nbsp;Liubomyr Gavryliv,&nbsp;Shaunna M. Morrison,&nbsp;Robert M. Hazen","doi":"10.1002/gdj3.177","DOIUrl":"10.1002/gdj3.177","url":null,"abstract":"<p>Crystal structures of minerals are defined by a specific atomic arrangement within the unit-cell, which follows the laws of symmetry specific to each crystal system. The causes for a mineral to crystallize in a given crystal system have been the subject of many studies showing their dependency on different formation conditions, such as the presence of aqueous fluids, biotic activity and many others. Different attempts have been made to quantify and interpret the information that we can gather from studying crystal symmetry and its distribution in the mineral kingdom. However, these methods are mostly outdated or at least not compatible for use on large datasets available today. Therefore, a revision of symmetry index calculation has been made in accordance with the growing understanding of mineral species and their characteristics. In the gathered data, we observe a gradual but significant decrease in crystal symmetry through the stages of mineral evolution, from the formation of the solar system to modern day. However, this decrease is neither uniform nor linear, which provides further implications for mineral evolution from the viewpoint of crystal symmetry. The temporal distribution of minerals based on the number of essential elements in their chemical formulae and their symmetry index has been calculated and compared to explore their behaviour. Minerals with four to eight essential elements have the lowest average symmetry index, while being the most abundant throughout all stages of mineral evolution. There are many open questions, including those pertaining to whether or not biological activity on Earth has influenced the observed decrease in mineral symmetry through time and whether or not the trajectory of planetary evolution of a geologically active body is one of decreasing mineral symmetry/increasing complexity.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"69-85"},"PeriodicalIF":3.2,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42681835","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
Sunspot observations at Kawaguchi Science Museum: 1972 – 2013 河口科学博物馆的太阳黑子观测:1972–2013
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-12-26 DOI: 10.1002/gdj3.158
Hisashi Hayakawa, Daisuke Suzuki, Sophie Mathieu, Laure Lefèvre, Hitoshi Takuma, Eijiro Hiei
{"title":"Sunspot observations at Kawaguchi Science Museum: 1972 – 2013","authors":"Hisashi Hayakawa,&nbsp;Daisuke Suzuki,&nbsp;Sophie Mathieu,&nbsp;Laure Lefèvre,&nbsp;Hitoshi Takuma,&nbsp;Eijiro Hiei","doi":"10.1002/gdj3.158","DOIUrl":"10.1002/gdj3.158","url":null,"abstract":"<p>Individual sunspot observations have formed a ground basis of international sunspot number, a unique reference for long-term solar variability in the centennial timescale. The original datasets were subjected to exploitations and analyses upon the recalibrations of the sunspot number series. In this context, this study reviewed and analysed original sunspot records and their databases in the Kawaguchi Science Museum (KSM) in Japan. KSM hosts sunspot drawings and logbooks from 1972 to 2013. This dataset has a longer chronological coverage than what was known to the scientific community (1981–2010). These records have been digitized and publicized in a museum database, which allows users to access individual sunspot drawings and numerical data in KSM logbooks. These records are highly homogeneous as a single observer's dataset (Hitoshi Takuma), who used a 15-cm refractor at the Kawaguchi Juvenile Museum in 1972–2003 and a 20-cm refractor at KSM in 2003–2013. We also reviewed the Takuma data series, his monthly observation days (21.3 days/month), sunspot number in the whole disk and each hemisphere, and sunspot positions in a butterfly diagram. We also assessed Takuma's data stability in comparison with the international sunspot number and reference datasets of the SILSO. Takuma's data appear stable until 2003, when he changed the observation site and instrument. His data stability was quantitatively compared with the SILSO reference datasets, confirming the substantial long-term stability of the data and establishing its reliability as an alternative reference for sunspot number recalibration.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 1","pages":"87-98"},"PeriodicalIF":3.2,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45055973","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: 2
Data rescue process in the context of sea level reconstructions: An overview of the methodology, lessons learned, up-to-date best practices and recommendations 海平面重建背景下的数据救援过程:方法概述、经验教训、最新最佳做法和建议
IF 3.2 3区 地球科学
Geoscience Data Journal Pub Date : 2022-12-14 DOI: 10.1002/gdj3.179
Alexa Latapy, Yann Ferret, Laurent Testut, Stefan Talke, Thorkild Aarup, Frederic Pons, Gwenaele Jan, Elizabeth Bradshaw, Nicolas Pouvreau
{"title":"Data rescue process in the context of sea level reconstructions: An overview of the methodology, lessons learned, up-to-date best practices and recommendations","authors":"Alexa Latapy,&nbsp;Yann Ferret,&nbsp;Laurent Testut,&nbsp;Stefan Talke,&nbsp;Thorkild Aarup,&nbsp;Frederic Pons,&nbsp;Gwenaele Jan,&nbsp;Elizabeth Bradshaw,&nbsp;Nicolas Pouvreau","doi":"10.1002/gdj3.179","DOIUrl":"10.1002/gdj3.179","url":null,"abstract":"<p>Coastal water level measurements represent one of the earliest geophysical measurements and allow an assessment of historical sea level rise and trends in tides, river flow and storm surge. However, recovery and digitization of archival tidal records have been much less widespread and systematic than, for example meteorological records. In this contribution, we discuss data rescue efforts and lessons learned in France, the United States and the United Kingdom, countries with early and extensive tide gauge networks by the mid-19th century. We highlight the importance of (a) cataloguing the historical gauge records, as a first step towards locating them; (b) locating data in archives, and then recovering and saving data by any means necessary, including photographs and scanning; (c) obtaining metadata, including both quantitative survey records, gauge checks and clock data, but also qualitative records such as gauge notes, letters and reports; and (d) quantitative statistical analysis of data and datum quality, using both standard data-entry checks but also tools that leverage the unique predictability of tide measurements. Methods for digitizing original analogue records are also discussed, including semi-automatic, computer-based methods of digitizing tidal charts (marigrams). Although the current best practice is described, future improvements are desirable and needed to make the more than estimated 10,000 station years of unused, undigitized records available to the scientific community.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"10 3","pages":"396-425"},"PeriodicalIF":3.2,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44373353","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: 2
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