Geoscience Data Journal最新文献

{"title":"The Magnetic Signature of Shear Zones in Marbles and Experimental Simulations","authors":"Vladimír Kusbach,&nbsp;Zuzana Roxerová,&nbsp;Matěj Machek,&nbsp;Monika Kučeráková,&nbsp;Stanislav Vratislav,&nbsp;Anna Vávrová,&nbsp;Martin Chadima,&nbsp;Pedro F. Silva,&nbsp;Martin Racek","doi":"10.1002/gdj3.70098","DOIUrl":"https://doi.org/10.1002/gdj3.70098","url":null,"abstract":"<p>The presented datasets were acquired to bridge the gap between microscale deformation structures and bulk fabric signals by integrating anisotropy of magnetic susceptibility, microstructural, crystallographic texture and experimental data from shear zones. They provide a standardized and reproducible framework for linking deformation mechanisms to magnetic fabric development, which improves interpretations of strain localization and tectonic evolution in shear zones. This dataset consists of three sets of data that document how deformation mechanisms and conditions affect deformation localization: (1) microstructural and magnetic records from a low-temperature (~500°C), mesoscale shear zone in marble formed by a single deformation event with strong localization on microscale; (2) microstructural and magnetic data from a high-temperature (~600°C) mesoscale shear zone in marble with one main acting ductile deformation mechanism; and (3) data from analogue experiments simulating pure shear, simple shear, and shear zone deformation in submagmatic systems using a shear-thinning thixotropic material. All the datasets are openly accessible via PANGAEA repository. This collection enables researchers to investigate the influence of deformation localization, deformation mechanisms, and pre-existing fabrics on anisotropy of magnetic susceptibility signatures not only for marbles, while also providing insights into the general principles governing magnetic fabric development in shear zones. It provides a valuable resource for studies in structural geology, rock magnetism and geophysics, and can be reused for numerical modelling of magnetic fabric development, deformation mechanisms and slip systems studies, as well as for educational purposes related to rock deformation.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148848601","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 Data-Driven Review of Geoscience Research Evolution Using SciBERT-Based Topic and Network Analysis","authors":"Sooyeon Han,&nbsp;Ju-seop Kim","doi":"10.1002/gdj3.70095","DOIUrl":"https://doi.org/10.1002/gdj3.70095","url":null,"abstract":"<p>This review provides a data-driven synthesis of the evolution of geoscience research from 2004 to 2023. A field-level bibliometric overview of 439,680 records indexed in the Web of Science Core Collection (Geosciences, Multidisciplinary) characterises broad publication patterns, while the in-depth structural and semantic analysis focuses on the 200 most-cited papers per year (4000 articles in total), to which keyword co-occurrence network analysis and SciBERT-based BERTopic modelling were applied. This two-tier design situates an analysis of the field's most influential literature within its full publication landscape, enabling systematic examination of both the structural and semantic dynamics of geoscience. The keyword-network analysis indicates that model, climate and water have consistently constituted the structural backbone of geoscience research, whereas the centrality of evolution, initially a dominant hub, declined steadily over the study period, while data- and technology-oriented themes, such as remote sensing, GIS and machine learning, have gained increasing prominence since the 2010s. Complementary semantic patterns identified through the SciBERT-based topic model reveal a parallel progression: early research emphasised geological and geotechnical processes; the 2010s were characterised by expanding attention to climate change, paleoenvironmental reconstruction and ecosystem dynamics; and the late 2010s onward show a growing focus on disaster response, resource management and advanced technological applications. In the most recent period, AI- and data-intensive approaches emerge as a dominant thematic direction. Together, this review identifies three major paradigm transitions in geoscience research—from geology-centred foundations, through climate- and environment-oriented expansion, to AI-driven and data-intensive Earth science. Trend and change-point analysis of annual topic prevalence in a single 2004–2023 topic model dates the statistically significant shift towards AI- and data-intensive research to 2013–2014, whereas the climate- and environment-oriented expansion proceeded gradually, without an abrupt transition. By offering a systematic and reproducible synthesis of long-term disciplinary change, this review complements conventional narrative reviews and provides a reference framework for future cross-domain research in the era of foundation models and scientific large language model applications.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753665","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":"CNR Ozone Sounding Merged (COSM) Dataset From Existing Global Archives","authors":"Fabrizio Marra,&nbsp;Elizabeth C. Weatherhead,&nbsp;Emanuele Tramutola,&nbsp;Marco Rosoldi,&nbsp;Fabio Madonna","doi":"10.1002/gdj3.70094","DOIUrl":"https://doi.org/10.1002/gdj3.70094","url":null,"abstract":"<p>This article presents a unified ozonesonde dataset, COSM (National Research Council of Italy (CNR) Ozone Sounding Merged), integrating observations from the SHADOZ (Southern Hemisphere ADditional OZonesondes), NDACC (Network for the Detection of Atmospheric Composition Change) and WOUDC (World Ozone and Ultraviolet Radiation Data Centre) archives. The dataset spans the period 1978–2024, with actual observations covering this entire range, and contains approximately 101,500 vertical ozone profiles collected at 124 stations worldwide. The COSM dataset was constructed through a harmonization process and the application of systematic quality control procedures designed to detect and correct issues such as unit inconsistencies, implausible values and incomplete metadata, while accounting for differences in instrumentation, reporting formats and vertical resolution across networks. The COSM dataset provides a structured, quality-assessed and well-documented archive of global ozonesonde observations. Compared with the original archives, the COSM dataset improves spatial and temporal coverage, facilitating consistent use in long-term studies of ozone variability and trends. A representativeness assessment, based on satellite-derived ozone profiles, confirms that stations with the longest and most continuous records provide meaningful spatial coverage, particularly in tropical and mid-latitude regions. In addition to ozone, the COSM dataset also includes typical thermodynamic variables such as temperature, pressure and relative humidity. To our knowledge, this is the first unified and openly available collection of ozonesonde records combining SHADOZ, NDACC and WOUDC. The dataset is relevant for a wide range of applications, including climate and chemistry model evaluation, satellite product validation, and data assimilation into reanalysis. By consolidating heterogeneous archives into a single resource, it provides the scientific community with a comprehensive, quality-assessed and accessible dataset, which is openly distributed via Zenodo.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148753060","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":"Inter-Seasonal In Situ Datasets of Important Physicochemical Parameters Adjacent to the Newly Declared Naf MPA of Bangladesh","authors":"Mohammad Tanzil Hasan,&nbsp;Saif Khan Sunny,&nbsp;Syeda Jasia Firdaws,&nbsp;Kayes Mohammad","doi":"10.1002/gdj3.70093","DOIUrl":"https://doi.org/10.1002/gdj3.70093","url":null,"abstract":"<p>Physicochemical data acquisition was carried out within the northeastern Bay of Bengal (BoB), adjacent to the newly declared Naf Marine Protected Area (Naf MPA) of Bangladesh. A total of 21 sampling locations were covered over shallow coastal water for the study during the winter monsoon and pre-monsoon seasons, comprising 12 in situ physicochemical parameters. A multiparameter was used to measure surface water temperature, salinity, pH, dissolved oxygen (DO), and total dissolved solids (TDS). Turbidity was measured using a 2100Q portable turbidimeter (EPA). Surface water samples were taken to measure total suspended solids (TSS), chlorophyll-a (Chl-a), nitrate, phosphate, ammonia, and silica concentration following the standard procedure. A fishing trawler was used as a data collection platform whereas the surface water samples were collected using the HYDRO-BIOS Niskin sampler, a non-metallic interior. As shallow water influences coastal phenomena and its coastal process, physicochemical parameters can play a significant role in knowing the impacts and influence on associated biotic resources around Naf MPA. However, Bangladesh has just started its exploration in view of oceanographic data collection. With the vast area and lack of oceanographic research vessels, there is still a deficiency of oceanographic data. Seasonal datasets are important to know the influence that changes with season in the coastal bay, as well as there is a lack of seasonal in situ data. Thus, these inter-seasonal oceanographic datasets can help the future study and management strategy of the newly declared Naf MPA, as well as to compare satellite-derived datasets with in situ data for sensor validation and algorithm development.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148662142","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":"Multi-Element Soil-Geochemistry Dataset, La Negra Formation, Chile","authors":"Elizabeth Lam-Esquenazi,&nbsp;Joseline Tapia-Zamora,&nbsp;Brian Keith-Norambuena,&nbsp;Ítalo Montofré-Bacigalupo,&nbsp;Angélica Flores-Bustos,&nbsp;Carolina Flores-Bustos,&nbsp;Rodrigo Rojas-Ardiles,&nbsp;William Marín-Machado,&nbsp;Patricio Loayza-Montofré","doi":"10.1002/gdj3.70090","DOIUrl":"https://doi.org/10.1002/gdj3.70090","url":null,"abstract":"<p>This data article describes a multi-element soil-geochemistry dataset collected over a six-week field campaign (2 June–9 July 2025) across the La Negra Formation outcrop in the Antofagasta Region of northern Chile. The dataset comprises 101 primary Atacama Desert soil samples, 15 systematic field duplicates and 7 outcrop rock pulps collected in the field distributed across two parallel north–south transects with an average along-transect spacing of ~10 km between consecutive points. The transects span six sectors in the communes of Tocopilla, Antofagasta and Taltal. Every sample was prepared following the Chilean national protocol for soil studies: air-dried, sieved to the &lt; 2 mm fine-earth fraction, and pulverised for analysis, so the dataset characterises the conventional fine-earth fraction of the soils. Each sample was analysed at AGS Análisis Geoquímicos (Coquimbo, Chile; lab batch CL25-7655) under a single, internally consistent protocol. The AGS panel covers 62 analytes per sample, reported as aqua-regia-extractable concentrations quantified by ICP-MS; because aqua regia is a partial digestion, values for elements hosted in resistant silicate phases are lower bounds on total contents. Six elements (Mn, Co, Ni, Cu, Zn, Pb) were re-analysed by atomic-absorption spectroscopy (AAS) on the same pulps at the Laboratorio de Geoquímica, Universidad Católica del Norte (UCN, Antofagasta, Chile), providing an independent inter-method and inter-laboratory check on the ICP-MS values for these environmentally relevant trace metals. Quality assurance and quality control includes per-element duplicate <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>R</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$$ {R}^2 $$</annotation>\u0000 </semantics></math>, the fraction of samples above the method detection limit, an inter-method relative-difference table, per-element soil-versus-rock comparisons and a four-level per-element quality flag (11 of the 62 analytes classify as high-quality, 40 as acceptable, 6 as low-reproducibility and 5 as low-detection) that identifies which analytes support quantitative reuse. We describe the sampling design, the laboratory workflow and the QA/QC outcomes. The dataset is released as a set of well-documented CSV and GeoJSON files under CC-BY-4.0 and provides a single-laboratory, single-protocol baseline of fine-earth soil geochemistry along the two sampled transect corridors of the La Negra Formation, against which future surveys of the soils of the Atacama Desert can be compared.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616682","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 Dataset of Target Cement Plants Between 2012 and 2022 Using Improved YOLOv5-IEG Model in China","authors":"Caihong Ma,&nbsp;Yongze Lv,&nbsp;Dacheng Wang,&nbsp;Yi Zeng,&nbsp;Haoyu Yang,&nbsp;Tianzhu Li","doi":"10.1002/gdj3.70072","DOIUrl":"https://doi.org/10.1002/gdj3.70072","url":null,"abstract":"<p>As the world's largest cement producer, China urgently requires accurate and comprehensive datasets to support environmental policy development. However, existing datasets are outdated, limited in scope, and lack detailed information. In this study, a target cement plant (t-cement) dataset in China was constructed using an improved YOLOv5-IEG model and integrating multi-source data to address these gaps. First, the improved YOLOv5-IEG model, as established by Li et al. (2024), was implemented to determine the areas and locations of t-cement plants, resulting in a comprehensive dataset of 953 records. Then, 23 detailed attributes including 11 production status attributes of each t-cement plant were extracted based on long-term NPP-VIIRS Active Fire/Hotspot (ACF) products from 2012 to 2022, Point Of Interest (POI) data, and corporate enterprise information. Those attributes were used to analyse the production status of each target cement plant, along with its spatiotemporal trends. The analysis revealed that: (1) t-cement plants in China (66.9%) are primarily concentrated east of the Hu Huanyong Line, while 29.9% are located within the Hu Huanyong Line region; only approximately 0.03% of cement plants are situated to the west of the line. (2) The number of operational cement plants increased annually from 2012 to 2016, but began to decline gradually from 2017 onward, with the majority of closures occurring in traditional industrial provinces such as Hebei, Shandong, and Shanxi. (3) Comparative analysis with other available datasets showed a 95% spatial overlap rate and 40% more records, demonstrating the dataset's superior accuracy and comprehensiveness. The dataset, which includes detailed temporal attributes, aligns with China's environmental policies and offers significant potential for applications in pollution control, emissions reduction, and sustainable development. This research provides a valuable resource for supporting informed decision-making in China's environmental governance.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616683","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":"Multi-Scenario Carbon Peak Prediction for Aviation Logistics Based on an Extended STIRPAT Model: Empirical Analysis From Guangxi, China","authors":"Yongchuang Zhang,&nbsp;Qin Li,&nbsp;Gai Hang","doi":"10.1002/gdj3.70089","DOIUrl":"https://doi.org/10.1002/gdj3.70089","url":null,"abstract":"<p>The aviation logistics industry is a significant contributor to global carbon emissions. Guangxi, a critical logistics corridor between China and ASEAN, faces severe challenges to regional carbon reduction targets due to the rapid development of its aviation sector. Existing research lacks systematic carbon emission predictions and multi-scenario comparative analyses for such specific regions. This study integrates the Logarithmic Mean Divisia Index (LMDI) decomposition method, an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, and scenario analysis to uncover the historical driving mechanisms of carbon emissions in Guangxi's aviation logistics industry and to forecast its peaking prospects and emission reduction potential under different development pathways until 2045. The findings reveal that: (1) historical growth was primarily driven by per capita GDP and population scale, while the industrial scale effect showed a significant inhibitory role; (2) elasticity analysis indicates that population scale, industrial scale, urbanization rate and transportation intensity are highly sensitive factors, whereas energy intensity is the only key technical variable with a significantly negative impact; (3) multi-scenario simulations predict that emissions will peak around 2041 under the baseline pathway, but implementing a rapid carbon reduction strategy centred on enhancing energy efficiency could achieve peaking around 2035, reducing the peak by approximately 25.6%; (4) assessment of reduction potential further quantifies the outcomes of different choices, showing that a 1% reduction in energy intensity can mitigate about 70.8 thousand tons of Carbon Dioxide (CO₂), and shifting from a high-development to a rapid carbon reduction pathway could cumulatively avoid about 3.7574 million tons of carbon emissions by 2045. This study confirms that for gateway hubs like Guangxi, a green growth pathway that utilizes technological innovation to absorb growth pressures is superior to mere economic contraction or disorderly expansion, providing a quantitative decision-making basis for the low-carbon transition of regional aviation industries.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148616330","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":"MAPSECC: London v2.0—New Building Roughness and Morphology Parameters","authors":"Denise Hertwig,&nbsp;Yiqing Liu,&nbsp;Sue Grimmond","doi":"10.1002/gdj3.70086","DOIUrl":"https://doi.org/10.1002/gdj3.70086","url":null,"abstract":"<p>Spatial characterisation of building morphology and roughness parameters is critical for modelling urban aerodynamic, thermal and radiative exchange processes and their variability within the urban roughness sublayer. New parameters included in v2.0 of the MAPSECC: London database (Multi-scale harmonisation Across Physical and Socio-Economic Characteristics of a City region) capture the spatial variability of building roughness and morphology both horizontally across neighbourhoods of the city (500 m resolution), as well as vertically (1 m resolution). The latter allows modelling of height variations of roughness-layer state variables including radiative exchange. New data features are: building plan and frontal area indices, total impervious fraction, ratio of exposed building envelope area to footprint area, momentum roughness length and displacement height, street-canyon aspect ratio and vertical profiles of building plan area index, building perimeter length and effective building diameter. The new processing follows the protocol and conventions established with database v1.0 (with &gt; 100 parameters), assuring that consistency is maintained across all building-related parameters and statistics.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615714","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":"MarineFlux: A Data Service for Shipboard Air–Sea Fluxes","authors":"S. R. Smith,&nbsp;M. A. Bourassa,&nbsp;M. Castells,&nbsp;A. Lovett,&nbsp;E. M. McDonald,&nbsp;T. Vedagiri,&nbsp;V. Tsontos,&nbsp;J. T. Roberts,&nbsp;F. Platt,&nbsp;L. Bariteau,&nbsp;E. J. Thompson,&nbsp;C. Fairall","doi":"10.1002/gdj3.70087","DOIUrl":"https://doi.org/10.1002/gdj3.70087","url":null,"abstract":"<p>The MarineFlux project is providing access to direct and bulk turbulent air–sea flux observations via an Environmental Research Division's Data Access Program (ERDDAP) service and a graphical user interface, known as the MarineFlux Explorer. These services are designed to meet the needs of the air–sea flux community for in-situ flux observations. Results of a community survey are discussed which partially define the community requirements. The data dissemination, analysis and visualization services described presently include fluxes derived from the International Comprehensive Ocean–Atmosphere Data Set for 1990–2020, the Shipboard Automated Meteorological and Oceanographic Systems (SAMOS) initiative for 2005–2024, and select flux datasets from NOAA Physical Science Laboratory expeditionary cruises from 1991 to 2021. The overall architecture for the services is described along with examples of how to access and use both the ERDDAP and Explorer interfaces.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148615715","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":"Dataset of Microstructural and Dynamic Mechanical Properties of Compacted Loess Modified by Calcium Oxalate Crystals: Implications for Geotechnical Engineering in Loess Regions","authors":"Zijun Zhao,&nbsp;Aizhong Luo,&nbsp;Tao Li,&nbsp;Shuai Shao,&nbsp;Juan Fang,&nbsp;Biao Hu,&nbsp;Weiye Fu","doi":"10.1002/gdj3.70088","DOIUrl":"https://doi.org/10.1002/gdj3.70088","url":null,"abstract":"<p>Loess is a widely distributed and collapsible soil on China's Loess Plateau, and due to its poor dynamic performance under cyclic loads, it poses significant challenges to the stability of infrastructure. However, systematic datasets linking calcium oxalate crystal-induced modification, microstructural characteristics, and dynamic mechanical responses remain limited. The dataset includes compacted loess specimens prepared at oxalic acid concentrations of 0, 0.5, 1.5 and 2.0 mol/L and target moisture contents of 14%, 17% and 20%. Dynamic damping-ratio curves were obtained using a hollow cylindrical torsional shear apparatus, while SEM observations and PCAS analysis were used to quantify pore-size distribution, pore morphology, pore orientation and related microstructural descriptors. Microstructural characterisation was performed using JSM-6700F scanning electron microscopy combined with the Pore and Crack Analysis System. The image-based analysis provided quantitative information on pore-size distribution, pore orientation, pore morphology and the bonding characteristics between crystals and soil particles. This dataset includes the basic physical properties of loess, the dynamic damping ratio curves versus shear strain for calcium oxalate crystal-modified loess and untreated loess, scanning electron microscopy images of microstructures before and after dynamic shear, quantitative pore structure parameters derived from Pore and Crack Analysis System analysis, and Pearson correlation matrices linking oxalic acid concentration, microstructural parameters and dynamic damping ratios. This dataset provides reusable data for Earth system science and civil engineering research. It can be used to validate numerical models of soil modification, compare eco-friendly stabilisation methods for collapsible loess and support further assessment of infrastructure performance in loess regions.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148386284","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}