Geoscience Data Journal最新文献

{"title":"Daily Weather Data From Central and Eastern King George Island (West Antarctica) for 2018–2023","authors":"Joanna Plenzler,&nbsp;Tomasz Budzik,&nbsp;Kornelia Anna Wójcik-Długoborska,&nbsp;Robert Józef Bialik","doi":"10.1002/gdj3.287","DOIUrl":"https://doi.org/10.1002/gdj3.287","url":null,"abstract":"<p>The dataset presented in the paper contains meteorological data from four automatic weather stations (AWS) located in the central and western parts of King George Island (near Arctowski Station and Cape Lions Rump). The dataset includes daily mean, maximum and minimum values of air temperature, relative air humidity, air pressure, wind speed and daily sum of solar radiation. The measurement period ran from 2018.01.01 to 2023.12.31, but it is shorter for two of the stations. Mean values were calculated from measurements taken every 10 min. Direct measurements were used to identify extreme values. The described dataset consists offour files, each for one AWS. It is available in the PANGEA online repository under a non-restrictive CC BY 4.0 licence for anyone after registration. Despite a strong correlation between the daily mean values of the parameters measured at certain stations, some differences between them were also noticeable. These were due to their location at different altitudes, in a place open to the sea or in a shaded place. Generally, values of wind speed, air humidity, solar radiation and pressure are similar to Arctowski during 2013–2017. The only notable distinction is that the mean annual air temperature and the mean air temperature in the winter months were higher than during 1977–1999 and 2013–2017. The data presented can be used as background for other research projects on King George Island, as well as for analysis of the meteorological conditions themselves. They may also be useful for the evaluation of the management plans of the eight Antarctic Specially Protected Areas or Antarctic Specially Managed Area no. 1 that are located on King George Island.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.287","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861623","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 multi-tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions","authors":"Chen Wang,&nbsp;Justin E. Stopa,&nbsp;Doug Vandemark,&nbsp;Ralph Foster,&nbsp;Alex Ayet,&nbsp;Alexis Mouche,&nbsp;Bertrand Chapron,&nbsp;Peter Sadowski","doi":"10.1002/gdj3.282","DOIUrl":"https://doi.org/10.1002/gdj3.282","url":null,"abstract":"<p>A dataset of multi-tagged sea surface roughness synthetic aperture radar (SAR) satellite images was established near Barbados from January to June 2016 to 2019. It is an advancement of the Sentinel-1 Wave Mode TenGeoP-SARwv (a labelled SAR imagery dataset of 10 geophysical phenomena from Sentinel-1 wave mode) dataset that targets SAR marine atmospheric boundary layer (MABL) coherent structures. Twelve tags define roll vortices, convective cells, mixed rolls and convective cells, fronts, rain cells, cold pools and low winds. Examples are provided for each signature. The final dataset is comprised of 2100 Sentinel-1 wave mode SAR images acquired at 36 incidence angle over an 8° × 8°region centered at 51° W, 15° N. Each image is tagged with one or multiple phenomena by five experts. This strategy extends the TenGeoP-SARwv by identifying coexisting phenomena within a single SAR image and by the addition of mixed roll/cell states and cold pools. The dataset includes PNG-formatted SAR image files along with two text files containing the file name, the central latitude/longitude, expert tags for each image, and all dataset metadata. There is a high degree of consensus among expert tags. The dataset complements existing hand-labelled ocean SAR image datasets and offers the potential for new deep-learning SAR image classification model developments. Future use is also expected to yield new insights into the tradewind MABL processes such as structure transitions and their relation to the stratification.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 1","pages":"1-14"},"PeriodicalIF":3.3,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.282","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860440","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":"PCOT: An open-source toolkit for multispectral image processing","authors":"James Finnis,&nbsp;Helen C. Miles,&nbsp;Ariel Ladegaard,&nbsp;Matt Gunn","doi":"10.1002/gdj3.283","DOIUrl":"https://doi.org/10.1002/gdj3.283","url":null,"abstract":"<p>PCOT is a Python program and library which allows users to manipulate multispectral images and associated data. It is in active development in support of the ExoMars mission and intended to be used on data from the Rosalind Franklin rover, but it has much greater potential for use beyond this specific context. PCOT operates on a graph model – the data are processed through a set of nodes which manipulate it in various ways (e.g. add regions of interest, perform maths, splice images together, merge image channels, plot spectra). A PCOT document describes this graph, and we intend that documents are distributed along with the data they generate to help reproducibility. PCOT is open-source, and contributions can be made to the core software, as plugins, or by using PCOT as a library in your own code.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.283","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142764322","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":"Exploring Jalisco's water quality: A comprehensive web tool for limnological and phytoplankton data","authors":"Cristofer Camarena-Orozco,&nbsp;Eduardo Juárez Carrillo,&nbsp;Martha Alicia Lara González,&nbsp;Edlin Guerra-Castro","doi":"10.1002/gdj3.277","DOIUrl":"https://doi.org/10.1002/gdj3.277","url":null,"abstract":"<p>This study presents a comprehensive dataset of hydrological information gathered from five key eastern basins in Jalisco, Mexico. The dataset encompasses approximately 50 limnological variables and phytoplankton counts specifically for one of these basins. Water-quality data were collected by the State Water Commission of Jalisco, adhering to the methods outlined in the Official Mexican Norm ‘NOM-127’. Monthly samplings were conducted to assess environmental variables such as pH, temperature, oxygen, nutrients and heavy metals. Monitoring has been ongoing for three basins since 2009, while the remaining two basins have been monitored since 2015 and 2020. Phytoplankton data were obtained from monthly samples taken by the University of Guadalajara between 2014 and 2019 in Lake Cajititlán. The original data were cleaned and organized using tidy data principles, with codes accessible on GitHub. To facilitate data exploration and visualization, we developed a user-friendly web application with the Shiny package in R. This application enables users to explore the dataset through summary statistics tables, time series plots and phytoplankton community analysis. The dataset is accessible on Zenodo. The presented data hold significance for environmental and water-quality assessment and applications in machine learning, neural network models, community ecology and broader environmental research. Notably, the raw data, publicly accessible from the State Water Commission of Jalisco, have been previously utilized for these purposes. This dataset offers value due to its diverse limnological and phytoplankton variables, an extended time frame of availability, a curated and streamlined accessibility process and the inclusion of a web application for intuitive exploration and visualization.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"495-503"},"PeriodicalIF":3.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435110","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":"HSPEI: A 1-km spatial resolution SPEI dataset across the Chinese mainland from 2001 to 2022","authors":"Haoming Xia,&nbsp;Yintao Sha,&nbsp;Xiaoyang Zhao,&nbsp;Wenzhe Jiao,&nbsp;Hongquan Song,&nbsp;Jia Yang,&nbsp;Wei Zhao,&nbsp;Yaochen Qin","doi":"10.1002/gdj3.276","DOIUrl":"https://doi.org/10.1002/gdj3.276","url":null,"abstract":"<p>The Standardized Precipitation Evapotranspiration Index (SPEI) is a widely recognized and effective tool for monitoring meteorological droughts. However, existing SPEI datasets suffer from spatial discontinuity or coarse spatial resolution problems, which limits their applications at the local level for drought monitoring research. Therefore, we calculated the SPEI index at meteorological stations, combined with the Global Precipitation Measurement (GPM) Precipitation (Pre), Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST), ERA5-Land Shortwave Radiation (SR), Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) datasets and Random Forest Regression (RFR) model, developed a high spatial resolution (1 km) SPEI (HSPEI) datasets with multiple time scales in mainland China from 2001 to 2022. Compared to other SPEI datasets, the HSPEI datasets have higher spatial resolution and can effectively identify the detailed characteristics of drought in mainland China from 2001 to 2022. Overall, the HSPEI datasets can be effectively applied to the research of different droughts in China from 2001 to 2022.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"479-494"},"PeriodicalIF":3.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.276","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435086","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":"High-resolution atmospheric CO2 concentration data simulated in WRF-Chem over East Asia for 10 years","authors":"Min-Gyung Seo,&nbsp;Hyun Mee Kim,&nbsp;Dae-Hui Kim","doi":"10.1002/gdj3.273","DOIUrl":"10.1002/gdj3.273","url":null,"abstract":"<p>In this study, high-resolution CO₂ concentration data were generated for East Asia to analyse long-term changes in atmospheric CO₂ concentrations, as East Asia is an important region for understanding the global carbon cycle. Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), atmospheric CO₂ concentrations were simulated in East Asia at a resolution of 9 km for a period of 10 years (2009–2018). The generated CO₂ concentration data include CO₂ concentrations, biogenic CO₂ concentrations, anthropogenic CO₂ concentrations, oceanic CO₂ concentrations, biospheric CO₂ uptake, biospheric CO₂ release and meteorological variables at 3-h intervals. The simulated high-resolution CO₂ concentrations, biogenic CO₂ concentrations and anthropogenic CO₂ concentrations are stored in NetCDF-4 (Network Common Data Form, version 4) format and are available for download at https://doi.org/10.7910/DVN/PJTBF3. The simulated annual mean surface CO₂ concentrations in East Asia were 391.027 ppm in 2009 and 412.949 ppm in 2018, indicating an increase of 21.922 ppm over the 10-year period with appropriate seasonal variabilities. The monthly mean CO₂ concentrations in East Asia were verified using surface CO₂ observations and satellite column-averaged CO₂ mole fraction (XCO₂) from Orbiting Carbon Observatory 2 (OCO-2). Based on surface CO₂ observations and OCO-2 XCO₂ concentrations, the average root-mean-square error (RMSE) of the simulated CO₂ concentrations in WRF-Chem was 2.474 and 0.374 ppm, respectively, which is smaller than the average RMSE of the low-resolution CarbonTracker 2019B (CT2019B) simulation. Therefore, the simulated high-resolution atmospheric CO₂ concentrations in East Asia in WRF-Chem over 10 years are reliable data that resemble the observed values and could be highly valuable in understanding the carbon cycle in East Asia.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"1024-1043"},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.273","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264428","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 Irish drought impacts database: A 287-year database of drought impacts derived from newspaper archives","authors":"Eva Jobbová,&nbsp;Arlene Crampsie,&nbsp;Conor Murphy,&nbsp;Francis Ludlow,&nbsp;Robert McLeman,&nbsp;Csaba Horvath,&nbsp;Natascha Seifert,&nbsp;Therese Myslinski,&nbsp;Laura Sente","doi":"10.1002/gdj3.272","DOIUrl":"10.1002/gdj3.272","url":null,"abstract":"<p>Understanding of past droughts has been mostly shaped by meteorological data, with relatively less known about the human aspects of droughts, their socio-economic impacts, as well as choices people make in response to droughts in different environmental and socio-political contexts. The lack of data that systematically record and categorize drought impacts is an important reason for this disparity. In this paper, we present an Irish drought impacts database (IDID) containing 6094 newspaper reports and 11,351 individual impact records for the island of Ireland, covering the period 1733–2019. Relevant articles were identified through systematic searching of the Irish Newspaper Archives, and recorded impacts were categorized using a modified version of the classification scheme employed by the European drought impact inventory (EDII). Drawing on the wealth and diversity of content provided by the newspapers, the IDID database provides information on the documented temporal and geographical extent of drought events, their socio-economic and political contexts, their consequences, mitigation strategies employed and their change over time. The IDID also facilitates analysis of long-term patterns in drought incidence, individual impact categories, as well as detailed insight into the impacts of individual drought events over nearly three centuries of Ireland's history. In addition, by allowing an examination of the coherence between meteorological records and identified impacts, it advances our understanding of the influences that contemporary economic, political, environmental and societal events had on the human experience, perception and impact of droughts. This new open-access database, therefore, provides opportunities for improving understanding of drought vulnerability and is an important step in developing greater capacity to cope with and respond to future droughts on the island of Ireland.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"1007-1023"},"PeriodicalIF":3.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213341","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":"Analysis and evaluation of the usefulness of open data for research projects—The case of the BrineRIS project","authors":"Justyna Górniak-Zimroz,&nbsp;Magdalena Worsa-Kozak,&nbsp;Karolina Szostak","doi":"10.1002/gdj3.269","DOIUrl":"10.1002/gdj3.269","url":null,"abstract":"<p>Open research data refer to publicly available scientific information that can be accessed free of charge, usually provided by public data sources. Users must comply with specific requirements set by the institutions providing the data and always acknowledge the source of the data when processing, transmitting, storing or publishing it. One of the tasks of the BrineRIS project is the mapping of brine resources, requiring reliable data on the location of exploration facilities, environmental characteristics, brine exploitation parameters and formal and legal information. These data come from a review of various archives, databases and survey results. Initially, information on the location of the sources should be obtained, which may be available in publicly accessible databases. Next, geological and hydrogeological parameters, which can be obtained from scientific papers and reports, are useful. An important part of the project is also the analysis of legal regulations concerning water extraction and environmental protection. Therefore, data should be obtained from various sources, such as public administration, state institutions or research units. These will serve to develop the database needed to perform further analyses within the BrineRIS research project. It is therefore crucial to carefully collect, analyse and assess the usefulness of the data.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"948-973"},"PeriodicalIF":3.3,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213366","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":"LETKF-based Ocean Research Analysis (LORA) version 1.0","authors":"Shun Ohishi,&nbsp;Takemasa Miyoshi,&nbsp;Takafusa Ando,&nbsp;Tomohiko Higashiuwatoko,&nbsp;Eri Yoshizawa,&nbsp;Hiroshi Murakami,&nbsp;Misako Kachi","doi":"10.1002/gdj3.271","DOIUrl":"10.1002/gdj3.271","url":null,"abstract":"<p>Local ensemble transform Kalman filter (LETKF)-based Ocean Research Analysis (LORA) version 1.0 datasets for western North Pacific (WNP) and Maritime Continent (MC) regions (LORA-WNP and -MC, respectively) are released through the JAXA-RIKEN Ocean Analysis website. The LORA datasets are created using an eddy-resolving LETKF-based ocean data assimilation system with satellite sea-surface temperature, salinity, and height data and with in-situ temperature and salinity data assimilated daily. The LORA datasets include 128-member ensemble analyses at the sea surface (2D), each term of mixed-layer temperature and salinity budget equations, and the related variables (2D) such as mixed-layer depth and heat and freshwater fluxes as well as system grid information and analysis ensemble mean and spread (3D), from August 2015 to January 2024 (as of June 2024). The LORA datasets are useful for geoscience research and practical applications, especially for particle tracking, boundary conditions of atmospheric models, and research on spatiotemporal variations in sea-surface temperature and salinity.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"995-1006"},"PeriodicalIF":3.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213367","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 database of tsunami deposits","authors":"María Teresa Ramírez-Herrera,&nbsp;Oswaldo Coca","doi":"10.1002/gdj3.270","DOIUrl":"https://doi.org/10.1002/gdj3.270","url":null,"abstract":"<p>Geomorphic environments play a crucial role in influencing the preservation and characteristics of tsunami deposits. This paper introduces a global database of tsunami deposits, encompassing information on deposit locations, thematic data such as geomorphic environments and proxies and bibliographic details. Additionally, the database features maps incorporating environmental parameters and the precise locations of tsunami deposits. The primary utility of this database lies in assessing progress and identifying gaps in knowledge. It also involves analysing the relationship between environmental parameters and interpreting areas with varying probabilities of tsunami deposit preservation. The files are readily compatible with GIS software and can seamlessly integrate into spatial databases associated with tsunamis or other hazards. This contributes significantly to disaster risk management, enhancing preparedness and response efforts by providing a comprehensive historical dataset on tsunamis. Future applications of the database include the incorporation of modern deposits, boulders and new data from paleotsunami and historical studies. By enhancing data with thematic information, such as dating techniques and creating timelines, the database facilitates a more comprehensive understanding. The correlation between geomorphic environments and proxies aids in selecting sampling sites and identifying suitable proxies for analysis. Encouraging an open-access approach, this database invites all interested researchers to include and modify additional information. The information compiled for this database serves multiple purposes: (1) assessing the global distribution of tsunami deposits; (2) identifying knowledge gaps in tsunami deposits; (3) guiding the selection of study areas for further research and finally; (4) enabling a meta-analysis of the information gathered.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"974-994"},"PeriodicalIF":3.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.270","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435893","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}