Geoscience Data Journal最新文献_第10页

A database for sea-level monitoring in French Polynesia 法属波利尼西亚海平面监测数据库

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-09-05 DOI: 10.1002/gdj3.172

Jean-Pierre Barriot, Fangzhao Zhang, Bernard Ducarme, Guy Wöppelmann, Gaël André, Alban Gabillon

{"title":"A database for sea-level monitoring in French Polynesia","authors":"Jean-Pierre Barriot, Fangzhao Zhang, Bernard Ducarme, Guy Wöppelmann, Gaël André, Alban Gabillon","doi":"10.1002/gdj3.172","DOIUrl":"10.1002/gdj3.172","url":null,"abstract":"This article presents a curated database of the sea-level measurements acquired by the network of the five geodetic tide gauges managed over French Polynesia by the Geodesy Observatory of Tahiti from 13 June 2009 to 28 January 2021. A unique feature of this database, with respect to previous databases that host the same raw data, like the Intergovernmental Oceanographic Commission database (IOC, www.ioc-sealevelmonitoring.org) and the database of ‘Réseaux de référence des observations marégraphiques’ (REFMAR, http://refmar.shom.fr) is that all the time-tags of the raw measurements (1- or 2-min sampling) have been validated and, if necessary, corrected with a precision of 2 min (time shifts of up to 1 hr can be present in the raw data). Possible outliers have also been flagged, but not removed. In addition, smoothed hourly data are also provided, along with tidal analysis results and estimations of the sea-level trends for the five tide gauges, with respect to their local geodetic datum. The database, entitled ‘SEA LEVEL collected from TIDE STATIONS in South Pacific Ocean from 2009-06-13 to 2021-01-28’, can be accessed on the NOAA data servers as ‘NCEI Accession 0244182’ and contains two subsets: The first one is relative to the original sampling rate and the second one is relative to an hourly re-sampling with harmonic tide models for each tide gauge station.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.172","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46985844","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: 1

Early meteorological records from Corrientes and Bahía Blanca, Argentina: Initial ACRE‐Argentina data rescue and related activities 来自阿根廷Corrientes和Bahía Blanca的早期气象记录:最初的ACRE - Argentina数据救援和相关活动

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-08-25 DOI: 10.1002/gdj3.176

S. G. Lakkis, P. Canziani, Joaquín O. Rodriquez, A. Yuchechen

{"title":"Early meteorological records from Corrientes and Bahía Blanca, Argentina: Initial ACRE‐Argentina data rescue and related activities","authors":"S. G. Lakkis, P. Canziani, Joaquín O. Rodriquez, A. Yuchechen","doi":"10.1002/gdj3.176","DOIUrl":"https://doi.org/10.1002/gdj3.176","url":null,"abstract":"The international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative works to recover global climate history and build an accessible databank, with data from the past 250 years of terrestrial and marine surface. Argentina is part of that effort with ACRE Argentina recovering data from various sources that have been recorded throughout the country since the 19th century. In this paper, weather observations transcribed from the original records into digital form and taken every day during the years 1860–1879 at Bahía Blanca and from 1873–1886 at Corrientes are presented. The digitization was carried out through the project Meteorologum ad Extremum Terrae (MET) launched in the Zooniverse interface, which is currently working with near 900 citizen scientist volunteers per day. The present analysis corresponds to data retrieved from the collection ‘Anales de la Oficina Meteorológica Argentina’ and contains information on atmospheric pressure, air temperature, relative humidity, cloud cover, cloud types, wind direction, wind speed, rainfall and weather remarks. For the present analysis, only temperature and pressure values, measured in °C and mm of Hg, respectively, were considered, after a quality control of the digitization process was applied. Data values were tested and used to rebuild the time series of both places and correlation with SOI index and monthly pressure values for both places was tested using Spearman correlation. Results show that the influence of El Niño episode during 1877–1878 can be found in the pressure values at Corrientes.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50954006","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: 1

Early meteorological records from Corrientes and Bahía Blanca, Argentina: Initial ACRE-Argentina data rescue and related activities 阿根廷Corrientes和Bahía Blanca的早期气象记录：阿根廷ACRE的初步数据救援和相关活动

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-08-25 DOI: 10.1002/gdj3.176

Susan Gabriela Lakkis, Pablo O. Canziani, Joaquín O. Rodriquez, Adrián E. Yuchechen

{"title":"Early meteorological records from Corrientes and Bahía Blanca, Argentina: Initial ACRE-Argentina data rescue and related activities","authors":"Susan Gabriela Lakkis, Pablo O. Canziani, Joaquín O. Rodriquez, Adrián E. Yuchechen","doi":"10.1002/gdj3.176","DOIUrl":"https://doi.org/10.1002/gdj3.176","url":null,"abstract":"The international Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative works to recover global climate history and build an accessible databank, with data from the past 250 years of terrestrial and marine surface. Argentina is part of that effort with ACRE Argentina recovering data from various sources that have been recorded throughout the country since the 19th century. In this paper, weather observations transcribed from the original records into digital form and taken every day during the years 1860–1879 at Bahía Blanca and from 1873–1886 at Corrientes are presented. The digitization was carried out through the project Meteorologum ad Extremum Terrae (MET) launched in the Zooniverse interface, which is currently working with near 900 citizen scientist volunteers per day. The present analysis corresponds to data retrieved from the collection ‘Anales de la Oficina Meteorológica Argentina’ and contains information on atmospheric pressure, air temperature, relative humidity, cloud cover, cloud types, wind direction, wind speed, rainfall and weather remarks. For the present analysis, only temperature and pressure values, measured in °C and mm of Hg, respectively, were considered, after a quality control of the digitization process was applied. Data values were tested and used to rebuild the time series of both places and correlation with SOI index and monthly pressure values for both places was tested using Spearman correlation. Results show that the influence of El Niño episode during 1877–1878 can be found in the pressure values at Corrientes.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50143086","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: 1

Incorporate temporal topology in a deep-time knowledge base to facilitate data-driven discovery in geoscience 将时间拓扑整合到一个深度时间知识库中，以促进地球科学数据驱动的发现

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-07-17 DOI: 10.1002/gdj3.171

Chao Ma, Shaunna M. Morrison, A. Drew Muscente, Chengbin Wang, Xiaogang Ma

{"title":"Incorporate temporal topology in a deep-time knowledge base to facilitate data-driven discovery in geoscience","authors":"Chao Ma, Shaunna M. Morrison, A. Drew Muscente, Chengbin Wang, Xiaogang Ma","doi":"10.1002/gdj3.171","DOIUrl":"10.1002/gdj3.171","url":null,"abstract":"Data-driven discovery in geoscience requires an enormous amount of FAIR (findable, accessible, interoperable and reusable) data derived from a multitude of sources. Many geology resources include data based on the geologic time scale, a system of dating that relates layers of rock (strata) to times in Earth history. The terminology of this geologic time scale, including the names of the strata and time intervals, is heterogeneous across data resources, hindering effective and efficient data integration. To address that issue, we created a deep-time knowledge base that consists of knowledge graphs correlating international and regional geologic time scales, an online service of the knowledge graphs, and an R package to access the service. The knowledge base uses temporal topology to enable comparison and reasoning between various intervals and points in the geologic time scale. This work unifies and allows the querying of age-related geologic information across the entirety of Earth history, resulting in a platform from which researchers can address complex deep-time questions spanning numerous types of data and fields of study.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.171","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44298439","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: 1

The importance of scientific data and historical heritage of the geophysical and astronomical observatory of coimbra university for the study of geophysical sciences 科因布拉大学地球物理和天文台的科学数据和历史遗产对地球物理科学研究的重要性

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-06-29 DOI: 10.1002/gdj3.160

Ana Gomes, Anabela Ramos, Fernando Figueiredo, Paulo Ribeiro

{"title":"The importance of scientific data and historical heritage of the geophysical and astronomical observatory of coimbra university for the study of geophysical sciences","authors":"Ana Gomes, Anabela Ramos, Fernando Figueiredo, Paulo Ribeiro","doi":"10.1002/gdj3.160","DOIUrl":"10.1002/gdj3.160","url":null,"abstract":"The Geophysical and Astronomical Observatory of the University of Coimbra (OGAUC) was officially created in 2013 after merging of two historical institutions: the Astronomical Observatory and the Geophysical Institute. As a result of almost 200 years of observations and research in astronomy and geophysical sciences, the OGAUC possesses a unique and valuable collection of long-term observational and instrumental records. These data have an indispensable value in current geophysical and climatic studies, being among the most complete and significant in Portugal and the world. The OGAUC's data collections are complemented by a vast technical-scientific production such as reports, research memoranda, articles, books, and instruments. This archive is largely not inventoried and poorly studied (particularly concerning meteorological, geomagnetic, and seismological data). This paper highlights the importance of the OGAUC's extensive data collection and discusses the difficulties and barriers related to its inventorying, preservation, and dissemination to the scientific community, policymakers, stakeholders, and the general public.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45236663","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: 1

Over seven decades of solar microwave data obtained with Toyokawa and Nobeyama Radio Polarimeters 七十多年的太阳微波数据获得与丰川和Nobeyama无线电极化计

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-06-28 DOI: 10.1002/gdj3.165

Masumi Shimojo, Kazumasa Iwai

引用次数: 1

Advanced tools for guiding data-led research processes of Upper-Atmospheric phenomena 用于指导高层大气现象的数据主导研究过程的先进工具

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-06-23 DOI: 10.1002/gdj3.170

Yoshimasa Tanaka, Norio Umemura, Shuji Abe, Atsuki Shinbori, Satoru UeNo

{"title":"Advanced tools for guiding data-led research processes of Upper-Atmospheric phenomena","authors":"Yoshimasa Tanaka, Norio Umemura, Shuji Abe, Atsuki Shinbori, Satoru UeNo","doi":"10.1002/gdj3.170","DOIUrl":"10.1002/gdj3.170","url":null,"abstract":"This paper presents tools that help researchers implement the processes of data-led studies of upper-atmospheric phenomena. These tools were developed as a part of the activities of the Inter-university Upper atmosphere Global Observation NETwork (IUGONET) of Japan, which is a project to develop infrastructure for upper-atmospheric research data. This paper focuses on the data service named IUGONET Type-A, which was launched in October 2016 and has since evolved. In addition to being a conventional metadata catalogue, it has many other useful functions: an easy cross-searching system, a quick-look data-plotting procedure, an interactive data visualization system named UDAS web, and strong linkage with analysis software. Users can pick up relevant data from a huge number of data sets using either lists categorized by instruments/projects, observed regions and special campaigns or a world map of observatories. Users can quickly find the time, location and nature of phenomena that occurred by comparing the quick-look plots of various data displayed by the browser. UDAS web allows researchers to interactively create stacked plots of various data types that can facilitate the understanding of the relationships among phenomena observed in different regions. Furthermore, it presents a command list for software dedicated to data analysis that can smoothly lead users to perform detailed analyses. IUGONET Type-A provides a one-stop data service that can assist users in searching, examining and comprehending data for advanced analysis. It is also capable of handling old data, including analogue data and written paper documents. Thus, it will provide useful support for innovative interdisciplinary scientific research on solar–terrestrial phenomena.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44589833","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: 1

Service of rapid magnetic variations, an update 服务的快速磁变化，一个更新

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-06-17 DOI: 10.1002/gdj3.164

Juan José Curto, Antoni Segarra, David Altadill, Aude Chambodut

引用次数: 1

Millions of digitized historical sea-level pressure observations rediscovered 数百万数字化历史海平面压力观测结果被重新发现

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2022-06-12 DOI: 10.1002/gdj3.163

Ed Hawkins, Lisa V. Alexander, Rob J. Allan

引用次数: 2

A novel deep learning-based single shot multibox detector model for object detection in optical remote sensing images 一种新的基于深度学习的单镜头多盒探测器模型，用于光学遥感图像中的目标检测

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2022-05-16 DOI: 10.1002/gdj3.162

Liguo Wang, Yin Shoulin, Hashem Alyami, Asif Ali Laghari, Mamoon Rashid, Jasem Almotiri, Hasan J. Alyamani, Fahad Alturise

{"title":"A novel deep learning-based single shot multibox detector model for object detection in optical remote sensing images","authors":"Liguo Wang, Yin Shoulin, Hashem Alyami, Asif Ali Laghari, Mamoon Rashid, Jasem Almotiri, Hasan J. Alyamani, Fahad Alturise","doi":"10.1002/gdj3.162","DOIUrl":"10.1002/gdj3.162","url":null,"abstract":"Remote sensing image object detection is widely used in civil and military fields. The important task is to detect objects such as ships, planes, airports, harbours and so on, and then it can obtain object category and position information. It is of great significance to use remote sensing images to observe the densely arranged and directional targets such as cars and ships parked in parking lots and harbours. The object detection task mainly includes object localization and classification. Remote sensing images contain large number of small objects and dense scenes due to the long shooting distance and wide coverage. Small objects occupy few pixels in the image, and they are easily miss-detected. In dense scenes, the overlapping part of each object is large, so it is easy to detect objects repeatedly. The traditional small object detection methods deliver low accuracy and take long time. Therefore, object detection is very challenging. We put forward a novel deep learning-based single shot multibox detector (SSD) model for object detection. First, we propose an improved inception network to optimize SSD to strengthen the small object feature extraction ability (FEA) in the shallow network. Second, the feature pyramid network is modified to enhance the fusion effect. Third, the deep feature fusion module is designed to improve the FEA of the deep network. Finally, the extracted image features are matched with candidate boxes with different aspect ratios to perform object detection and location with different scales. Experiments on DOTA show that the proposed algorithm can adapt to the remote sensing object detection in different backgrounds, and effectively improve the detection effect of remote sensing objects in complex scenes.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42872672","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