Geoscience Data Journal最新文献

{"title":"Spatially consistent physical characteristics of UK rivers: 1-km data","authors":"Helen N. Davies,&nbsp;Ponnambalam Rameshwaran,&nbsp;Victoria A. Bell,&nbsp;Simon Dadson","doi":"10.1002/gdj3.209","DOIUrl":"10.1002/gdj3.209","url":null,"abstract":"<p>The physical river characteristics datasets described here provide spatially consistent information to support hydrological and inundation modelling at a 1 km × 1 km resolution across the United Kingdom, on the British National Grid. The datasets of physical river characteristics provide gridded datasets (outflow drainage directions, catchment areas, widths of bankfull rivers and depths of bankfull rivers) and a comma-separated table of NRFA (National River Flow Archive) gauging station locations. These datasets are derived from a range of sources: outflow drainage directions, catchment area and bankfull river widths are derived from existing higher resolution datasets, whereas bankfull river depths were harder to source and instead are derived from sparse historical measurements. The new gridded datasets provide a derived value for each UK land cell on the British National Grid (BNG). The comma-separated NRFA gauging station locations table provides the most appropriate locations of 1,499 river flow gauging stations on the 1 km resolution grids, together with the approximate error in the 1 km × 1 km gridded delineation of the upstream catchment area. This article explains how UK-wide 1-km grids of these variables were estimated, their format and how to use them. The data are available from the Environmental Information Data Centre (EIDC).</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"284-291"},"PeriodicalIF":3.3,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.209","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49251284","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":"Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage","authors":"Kate de Smeth,&nbsp;Joanne Comer,&nbsp;Conor Murphy","doi":"10.1002/gdj3.206","DOIUrl":"10.1002/gdj3.206","url":null,"abstract":"<p>Extended hydrometric (water level and flow) records are presented for eight Irish catchments subject to arterial drainage. The procedures employed to collect and process historical data, extend flow records and compile key metadata and information about each gauging station are described. Procedures are developed to handle data quality issues related to hydrometric practices and equipment malfunction and to quality assure rescued data using quality codes that complement modern hydrometric practices. The workflow developed will assist other hydrometric data rescue efforts and minimize subjectivity during the rescue process. The newly extended records represent the longest continuous river flow series available in Ireland, extending to the commencement of formal hydrometric monitoring in the country in 1940. The resultant data sets add 150 years of daily data across eight stations and will provide a key new resource for hydrological studies into the impacts of arterial drainage and flow nonstationarity.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"176-196"},"PeriodicalIF":3.2,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.206","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43509155","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":"Issue Information","authors":"","doi":"10.1111/oet.12861","DOIUrl":"https://doi.org/10.1111/oet.12861","url":null,"abstract":"","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44322660","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}

{"title":"Surface water quality in Amazonian Floodplain Lakes, data set of the Lago Grande de Curuai Floodplain Lake, Pará-Brazil","authors":"Derlayne Dias Roque,&nbsp;Marie-Paule Bonnet,&nbsp;Jérémie Garnier,&nbsp;Cleber Kraus Nunes,&nbsp;Patrick Seyler,&nbsp;David Motta Marques","doi":"10.1002/gdj3.207","DOIUrl":"10.1002/gdj3.207","url":null,"abstract":"<p>Between 2013 and 2017, we carried out nine field missions in the Lago Grande de Curuai floodplain, located in Pará state – North of Brazil – to collect samples for monitoring surface water quality. This site separated from the river by a narrow bank is composed of a network of channels and shallow lakes, a morphology shared by the floodplains of the lower Amazon. A multiparameter probe was used <i>in situ</i> to measure electrical conductivity, temperature, pH, dissolved oxygen, chlorophyll, turbidity, depth and a Secchi disk to estimate transparency. Water grab samples were analysed for suspended material, alkalinity, humic acid, phosphorus, nitrogen, carbon and chlorophyll. Sampling stations were distributed over the seven larger lakes in the floodplain and sampled at different periods of the hydrological cycle. The number of samples varied with the floodplain water level, with a minimum of 25 samples for each field visit. This data set is a collection of water quality data to assist in the limnological or biogeochemical studies of surface waters in Amazonian floodplain lakes, and the product of successive French-Brazilian projects: (1) the Clim-FABIAM ‘Climate changes and Floodplain lake biodiversity in the Amazon Basin: how to cope and help the ecological and economic sustainability’ funded by the French Foundation for biodiversity research (FRB), (2) the project Bloom-ALERT –‘Environmental sensitivity and population health vulnerability to cyanobacteria in the Amazon: towards shared indicators’ funded by the French-Brazilian research program GUYAMAZON 2014, and the project (3) ‘Ecossistemas das várzeas e biodiversidade: Impactos das mudanças ambientais e climáticas considerando cenários de desenvolvimento sustentáveis’ (Project number 490634/2013-3) funded by the Brazilian National scientific Research Council CNPq.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 3","pages":"252-266"},"PeriodicalIF":3.3,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.207","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48809537","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":"Climate data for Odesa, Ukraine in 2021–2050 based on EURO-CORDEX simulations","authors":"Halyna Borovska,&nbsp;Valeriy Khokhlov","doi":"10.1002/gdj3.197","DOIUrl":"10.1002/gdj3.197","url":null,"abstract":"<p>Climate change adaptation planning at the municipal level has become mandatory due to the increasing frequency of extreme weather and climate events. The availability of near-future climate data is the first step towards creating an adaptation plan for a city. We created the CP_OdU (Climate Projections for Odesa, Ukraine) dataset, which contains daily output variables from the 102 model runs and monthly (yearly) indices calculated for 2021–2050 in the closest to Odesa land-located model grid point. The future data are based on 26 and 76 simulations for the scenarios RCP4.5 and RCP8.5, respectively, of 14 RCMs from the EURO-CORDEX project. The horizontal resolution of spatial grids in the RCMs is ~0.11° or ~12 km. The CP_OdU dataset contains 76 indices relating to cloudiness, wind parameters, relative humidity, precipitation amount, snow depth and temperature. A very short description of the near-future climate in Odesa for the RCP8.5 scenario shows its trend towards a Mediterranean climate. The rising temperature supported by the change of intra-annual variations of precipitation will result in hot, dry summers and mild, moderately wet winters. The CP_OdU dataset can be used by climate scientists, applied science engineers and climate stakeholders in society for the creation of a climate change adaptation plan for Odesa, Ukraine.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"148-159"},"PeriodicalIF":3.2,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49402534","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 Ottoman daily weather observations of Halkali Agricultural School in Istanbul, Turkiye (1896–1917)","authors":"Ferhat Yilmaz,&nbsp;Michel Tsamados,&nbsp;Dan Osborn","doi":"10.1002/gdj3.205","DOIUrl":"10.1002/gdj3.205","url":null,"abstract":"<p>Daily weather observations measured by students and staff at Halkali Agricultural School (a school opened in 1892 on agriculture and animal husbandry during the Ottoman period) from 1896 to 1917 in Istanbul, Turkiye have been transcribed from the original publications into digital form and translated from Ottoman Turkish (the Perso-Arabic script) to English (Latin alphabet). Over 55,000 observations of daily maximum, minimum and average temperature; rainfall, soil and under soil (0.25 m) temperature; humidity, pressure and wind speed were recovered. In addition, weather observations taken in Kandilli Observatory and Earthquake Research Institute from 1911 to 1936 and taken in Florya Meteorological Station from 1937 to 2022 could inform long-term temperature changes in Istanbul. The publication of a new historical data set that includes, for the first time, digitized and quality-controlled daily meteorological observations in Istanbul will enhance the understanding of weather changes in Turkiye back to the late 19th century. These observations will be used to fill gaps in existing temperature and pressure records and to the improvement of the accuracy of reanalysis products prior to the 1950s. It will be the first data set publication of other parameters such as soil temperature, wind speed and humidity for that period in that region. Data are available on the CEDA Archive in csv file format.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"160-175"},"PeriodicalIF":3.2,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45498041","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":"Investigating the vegetation's temporal–spatial response to meteorological and hydrogeological drought in drylands","authors":"Sedigheh Mohamadi,&nbsp;Ameneh Mianabadi,&nbsp;Sedigheh Anvari","doi":"10.1002/gdj3.203","DOIUrl":"10.1002/gdj3.203","url":null,"abstract":"<p>As the most constraining environmental factor of vegetation development in arid areas, soil moisture is mainly supplied by precipitation and groundwater resources. Considering the varying sensitivity of different plant communities to precipitation and groundwater-induced water shortages, the communities' management requires the study of the effects of both meteorological and hydrogeological droughts on vegetation. Therefore, this study sought to model the effects of meteorological and hydrogeological droughts on vegetation indices obtained from MODIS satellite images in the Sirjan plain from 2000 to 2019. To this end, vegetation communities were first identified and separated based on extensive field operations, taking into account the Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI) at the plant communities' scale. Then, meteorological drought was calculated using Standardized Precipitation Index (SPI) and the hydrogeological drought was also measured by Groundwater Resource Index (GRI) via the Kriging technique. Finally, the relationship was modelled using Multivariate Linear Regression (MLR). The results revealed that SPI at a 6-month time scale (as an important index) played a significant role in elaborating the changes in VCI in eight communities out of 18 ones at the 6-month scale, acting as a strong and reliable estimator. Moreover, 61.6% of VCI changes in <i>Artemisia sieberi-Seidlitzia rosmarinus</i> community were explained with GRI and SPI at a 6-month time scale, indicating the dependence on groundwater and precipitation. Nonetheless, some communities (i.e. six cases) were unresponsive. These findings draw our attention to the importance of considering the special reaction of each plant community in the management.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"197-215"},"PeriodicalIF":3.2,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47028708","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 database of detrital zircon U–Pb geochronology and Hf isotopes from the Songpan–Ganzi and Western Qinling terranes","authors":"Yingdi Pan,&nbsp;Xiumian Hu","doi":"10.1002/gdj3.195","DOIUrl":"10.1002/gdj3.195","url":null,"abstract":"<p>Since the advent of detrital geochronology, significant progress has been made in the study of sedimentary sources. The detrital zircon U–Pb age spectrum, especially when combined with zircon Hf isotopes, provides a powerful tool for determining the provenance location, nature, and evolutionary history of sediments. The Western Qinling–Songpan tectonic junction, located in central China, is a giant structure on the crustal scale. A total of 20,640 zircon U–Pb ages of 281 sandstone samples from the Songpan–Ganzi and Western Qinling terranes were obtained. Among these, 1,636 zircons from 33 samples contained Hf isotopic data. Moreover, we compiled data on papers, samples, analytical methods, and results and obtained a total of 76 zircon U–Pb and 60 Hf isotope data heads. The obtained dataset has multiple data interfaces, which can be well associated with research or applications in different fields, for provenance analysis, climate change, and paleogeographic reconstruction studies.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"394-404"},"PeriodicalIF":3.3,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47653090","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":"OpenMindat: Open and FAIR mineralogy data from the Mindat database","authors":"Xiaogang Ma,&nbsp;Jolyon Ralph,&nbsp;Jiyin Zhang,&nbsp;Xiang Que,&nbsp;Anirudh Prabhu,&nbsp;Shaunna M. Morrison,&nbsp;Robert M. Hazen,&nbsp;Lesley Wyborn,&nbsp;Kerstin Lehnert","doi":"10.1002/gdj3.204","DOIUrl":"10.1002/gdj3.204","url":null,"abstract":"<p>The open data movement has brought revolutionary changes to the field of mineralogy. With a growing number of datasets made available through community efforts, researchers are now able to explore new scientific topics such as mineral ecology, mineral evolution and new classification systems. The recent results have shown that the necessary open data coupled with data science skills and expertise in mineralogy will lead to impressive new scientific discoveries. Yet, feedback from researchers also reflects the needs for better FAIRness of open data, that is, findable, accessible, interoperable and reusable for both humans and machines. In this paper, we present our recent work on building the open data service of Mindat, one of the largest mineral databases in the world. In the past years, Mindat has supported numerous scientific studies but a machine interface for data access has never been established. Through the OpenMindat project we have achieved solid progress on two activities: (1) cleanse data and improve data quality, and (2) build a data sharing platform and establish a machine interface for data query and access. We hope OpenMindat will help address the increasing data needs from researchers in mineralogy for an internationally recognized authoritative database that is fully compliant with the FAIR guiding principles and helps accelerate scientific discoveries.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"94-104"},"PeriodicalIF":3.2,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45781796","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 Kimberlina synthetic multiphysics dataset for CO2 monitoring investigations","authors":"David Alumbaugh,&nbsp;Erika Gasperikova,&nbsp;Dustin Crandall,&nbsp;Michael Commer,&nbsp;Shihang Feng,&nbsp;William Harbert,&nbsp;Yaoguo Li,&nbsp;Youzuo Lin,&nbsp;Savini Samarasinghe","doi":"10.1002/gdj3.191","DOIUrl":"10.1002/gdj3.191","url":null,"abstract":"<p>We present a synthetic multi-scale, multi-physics dataset constructed from the Kimberlina 1.2 CO₂ reservoir model based on a potential CO₂ storage site in the Southern San Joaquin Basin of California. Among 300 models, one selected reservoir-simulation scenario produces hydrologic-state models at the onset and after 20 years of CO₂ injection. Subsequently, these models were transformed into geophysical properties, including P- and S-wave seismic velocities, saturated density where the saturating fluid can be a combination of brine and supercritical CO₂, and electrical resistivity using established empirical petrophysical relationships. From these 3D distributions of geophysical properties, we have generated synthetic time-lapse seismic, gravity and electromagnetic responses with acquisition geometries that mimic realistic monitoring surveys and are achievable in actual field situations. We have also created a series of synthetic well logs of CO₂ saturation, acoustic velocity, density and induction resistivity in the injection well and three monitoring wells. These were constructed by combining the low-frequency trend of the geophysical models with the high-frequency variations of actual well logs collected at the potential storage site. In addition, to better calibrate our datasets, measurements of permeability and pore connectivity have been made on cores of Vedder Sandstone, which forms the primary reservoir unit. These measurements provide the range of scales in the otherwise synthetic dataset to be as close to a real-world situation as possible. This dataset consisting of the reservoir models, geophysical models, simulated time-lapse geophysical responses and well logs forms a multi-scale, multi-physics testbed for designing and testing geophysical CO₂ monitoring systems as well as for imaging and characterization algorithms. The suite of numerical models and data have been made publicly available for downloading on the National Energy Technology Laboratory's (NETL) Energy Data Exchange (EDX) website.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 2","pages":"216-234"},"PeriodicalIF":3.2,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44808617","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}