Geoscience Data Journal最新文献_第7页

Online data service for geologic formations (Lexicons) of China, India, Vietnam and Thailand with one‐click visualizations onto East Asia plate reconstructions 中国、印度、越南和泰国地质构造的在线数据服务（Lexicons），一键可视化东亚板块重建

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-07-16 DOI: 10.1002/gdj3.210

W. Du, Suyash Mishra, J. Ogg, Yuzheng Qian, Sabrina Chang, Karan Oberoi, A. Ault, S. Zahirovic, H. Hou, D. Raju, O’Neil Mamallapalli, Gabriele M. Ogg, Haipeng Li, C. Scotese, Bui Dong

引用次数: 0

A data screening approach to confirming a target mineral is chlorite using EPMA and LA-ICPMS data 利用EPMA和LA - ICPMS数据确定目标矿物为绿泥石的数据筛选方法

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-07-10 DOI: 10.1002/gdj3.190

N. Freij, D. D. Gregory, Y. Liu

引用次数: 1

Spatially consistent physical characteristics of UK rivers: 1-km data 英国河流的空间一致物理特征：1公里数据

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-07-06 DOI: 10.1002/gdj3.209

Helen N. Davies, Ponnambalam Rameshwaran, Victoria A. Bell, Simon Dadson

{"title":"Spatially consistent physical characteristics of UK rivers: 1-km data","authors":"Helen N. Davies, Ponnambalam Rameshwaran, Victoria A. Bell, Simon Dadson","doi":"10.1002/gdj3.209","DOIUrl":"10.1002/gdj3.209","url":null,"abstract":"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).","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"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}

引用次数: 0

Hydrometric data rescue and extension of river flow records: Method development and application to catchments modified by arterial drainage 水文数据抢救和河流流量记录的扩展:方法发展和应用于经动脉排水修改的集水区

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-07-05 DOI: 10.1002/gdj3.206

Kate de Smeth, Joanne Comer, Conor Murphy

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 : 2023-07-01 DOI: 10.1111/oet.12861

引用次数: 0

Surface water quality in Amazonian Floodplain Lakes, data set of the Lago Grande de Curuai Floodplain Lake, Pará-Brazil 亚马逊洪泛平原湖泊的地表水质量，巴西帕拉艾湖的数据集

IF 3.3 3区地球科学

Geoscience Data Journal Pub Date : 2023-06-23 DOI: 10.1002/gdj3.207

Derlayne Dias Roque, Marie-Paule Bonnet, Jérémie Garnier, Cleber Kraus Nunes, Patrick Seyler, David Motta Marques

{"title":"Surface water quality in Amazonian Floodplain Lakes, data set of the Lago Grande de Curuai Floodplain Lake, Pará-Brazil","authors":"Derlayne Dias Roque, Marie-Paule Bonnet, Jérémie Garnier, Cleber Kraus Nunes, Patrick Seyler, David Motta Marques","doi":"10.1002/gdj3.207","DOIUrl":"10.1002/gdj3.207","url":null,"abstract":"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 in situ 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.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"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}

引用次数: 0

Climate data for Odesa, Ukraine in 2021–2050 based on EURO-CORDEX simulations 基于EURO‐CORDEX模拟的乌克兰敖德萨2021-2050年气候数据

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-06-18 DOI: 10.1002/gdj3.197

Halyna Borovska, Valeriy Khokhlov

{"title":"Climate data for Odesa, Ukraine in 2021–2050 based on EURO-CORDEX simulations","authors":"Halyna Borovska, Valeriy Khokhlov","doi":"10.1002/gdj3.197","DOIUrl":"10.1002/gdj3.197","url":null,"abstract":"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.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"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}

引用次数: 0

Digitizing Ottoman daily weather observations of Halkali Agricultural School in Istanbul, Turkiye (1896–1917) 数字化土耳其伊斯坦布尔Halkali农业学校的奥斯曼每日天气观测（1896–1917）

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-06-13 DOI: 10.1002/gdj3.205

Ferhat Yilmaz, Michel Tsamados, Dan Osborn

{"title":"Digitizing Ottoman daily weather observations of Halkali Agricultural School in Istanbul, Turkiye (1896–1917)","authors":"Ferhat Yilmaz, Michel Tsamados, Dan Osborn","doi":"10.1002/gdj3.205","DOIUrl":"10.1002/gdj3.205","url":null,"abstract":"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.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"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}

引用次数: 0

Investigating the vegetation's temporal–spatial response to meteorological and hydrogeological drought in drylands 旱地植被对气象和水文地质干旱的时空响应研究

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-06-07 DOI: 10.1002/gdj3.203

Sedigheh Mohamadi, Ameneh Mianabadi, Sedigheh Anvari

{"title":"Investigating the vegetation's temporal–spatial response to meteorological and hydrogeological drought in drylands","authors":"Sedigheh Mohamadi, Ameneh Mianabadi, Sedigheh Anvari","doi":"10.1002/gdj3.203","DOIUrl":"10.1002/gdj3.203","url":null,"abstract":"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 Artemisia sieberi-Seidlitzia rosmarinus 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.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"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}

引用次数: 0

A database of detrital zircon U–Pb geochronology and Hf isotopes from the Songpan–Ganzi and Western Qinling terranes 松潘-甘孜和西秦岭碎屑锆石U–Pb地质年代学和Hf同位素数据库

IF 3.2 3区地球科学

Geoscience Data Journal Pub Date : 2023-05-29 DOI: 10.1002/gdj3.195

Yingdi Pan, Xiumian Hu

引用次数: 1