bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sedimentological and geochemical characteristics of the Lower Eocene-Upper Oligocene carbonate rocks: a key to understand the origin of the Gaziantep formation in the vicinity of Egil-Diyarbakir, Turkiye
Authors: Dinç Salih , Keskin Faruk 
Published: February 2025

Resumen
Este estudio se ha realizado para evaluar el origen de las rocas carbonatadas del Eoceno Inferior- Oligoceno Superior de la formación Gaziantep en las proximidades de Egil-Diyarbakir, ubicada en Anatolia Oriental, Turquía. Para lograrlo, se investigaron las propiedades estratigráficas y petrográficas, así como las composiciones químicas e isotópicas de las 56 muestras representativas de rocas carbonatadas tomadas de cuatro secciones estratigráficas medidas dentro de la formación Gaziantep. Según los datos obtenidos, la mayoría de las rocas carbonatadas examinadas se han clasificado como dolomita (D), dolomita calcítica (CD), caliza dolomítica (DL) y caliza (L). Las muestras tienen valores de Ce que van de 0,23 a 1,55, con un promedio de 0,80, lo que indica un entorno de formación óxica. Los valores de Eu varían de 0,00 a 1,89, con un promedio de 0,97. Los valores de Ce de las muestras presentan una anomalía negativa, mientras que los valores de Eu muestran una anomalía parcialmente positiva. Por lo tanto, los valores de REE de las rocas carbonatadas sugieren que la contaminación terrestre es inexistente o insignificante. Los valores de δ18O para las calizas investigadas varían entre -7,83‰ y -5,33‰ PDB, mientras que los valores de δ13C varían entre -0,17‰ y ‰ -6,90‰ PDB. Las dolomías, por otro lado, tienen valores de δ18O que varían entre -7,74‰ y -1,23‰ PDB y valores de δ13C que varían entre -6,79‰ y -0,68‰ PDB. Además, la temperatura de formación de las dolomías varía entre 39oC y 86oC. Los datos obtenidos, incluyendo la temperatura y las composiciones de δ18O y δ13C, mostraron evidencia significativa de que la dolomita se formó en la Formación Gaziantep en dos etapas distintas. La primera etapa implicó la formación de dolomita (D) en la zona de mezcla a bajas temperaturas durante la etapa diagenética temprana. La segunda etapa implicó la formación de dolomita (CD y DL) en aguas meteóricas y temperaturas en aumento durante la etapa diagenética tardía.
Building a modern data platform based on the data lakehouse architecture and cloud-native ecosystem
Authors: AbouZaid Ahmed , Barclay Peter J. , Chrysoulas Christos , Pitropakis Nikolaos 
Published: February 2025

Abstract
In today’s Big Data world, organisations can gain a competitive edge by adopting data-driven decision-making. However, a modern data platform that is portable, resilient, and efficient is required to manage organisations’ data and support their growth. Furthermore, the change in the data management architectures has been accompanied by changes in storage formats, particularly open standard formats like Apache Hudi, Apache Iceberg, and Delta Lake. With many alternatives, organisations are unclear on how to combine these into an effective platform. Our work investigates capabilities provided by Kubernetes and other Cloud-Native software, using DataOps methodologies to build a generic data platform that follows the Data Lakehouse architecture. We define the data platform specification, architecture, and core components to build a proof of concept system. Moreover, we provide a clear implementation methodology by developing the core of the proposed platform, which are infrastructure (Kubernetes), ingestion and transport (Argo Workflows), storage (MinIO), and finally, query and processing (Dremio). We then conducted performance benchmarks using an industry-standard benchmark suite to compare cold/warm start scenarios and assess Dremio’s caching capabilities, demonstrating a 12% median enhancement of query duration with caching.
Sustainability reporting practices of Hungarian food subsectors from EU taxonomy perspectives
Authors: Gombkötő Nóra , Hámori Judit , Rózsa Andrea , Troján Szabolcs , Hegyi Judit , Lámfalusi Ibolya , Kacz Károly 
Published: February 2025

Abstract
The importance and relevance of sustainability reporting by food companies is growing in the wake of green compliance, especially in EU Member States, where–in line with the EU Taxonomy–stricter legislation requires more accurate and transparent sustainability reporting. From 2014, the NFRD (Non-Financial Reporting Directive) legislation made non-financial reporting mandatory only for companies with at least 500 employees and of public interest, while the CSRD (Corporative Sustainability Reporting Directive) legislation, which came into force in 2023, made it mandatory for all companies. The aim of this paper is to examine how companies are prepared to comply with the new legislation. The sustainability reporting of food companies by subsector was analysed to identify differences and compare the quality of reporting with financial performance data. The study used a content analysis with a scoring method to assess the quality of sustainability reports from the point of view of EU Taxonomy produced by companies in 2020 and 2021. The proportions of critical financial performance data within subsectors were also examined. In 2020 and 2021, the companies analysed accounted for over 50% of the sector’s total net revenue, net profit, and foreign registered capital, highlighting significant financial concentration. The results show that the content and quality of sustainability reporting by food companies varies considerably between subsectors. The subsectors, dairy products manufacturing, processing, and preserving of fruit and vegetables scored the highest on sustainability objectives, particularly excelling in climate change mitigation and adaptation. The significance of the study lies in the fact that the methodology provides an opportunity to track and re-examine the future reporting practices of companies following the legislative changes.
Pan‐European Landslide Risk Assessment: From Theory to Practice
Authors: Caleca Francesco , Lombardo Luigi , Steger Stefan , Tanyas Hakan , Raspini Federico , Dahal Ashok , Nefros Constantinos , Mărgărint Mihai Ciprian , Drouin Vincent , Jemec‐Auflič Mateja , Novellino Alessandro , Tonini Marj , Loche Marco , Casagli Nicola , Tofani Veronica 
Published: February 2025

AbstractAssessing landslide risk is a fundamental requirement to plan suitable prevention actions. To date, most risk studies focus on individual slopes or catchments. Whereas regional, national or continental scale assessments are hardly available because of methodological and/or data limitations. In this contribution, we present an overview of all requirements and limitations in landslide risk studies across all spatial scales, by means of a hybrid form that combines elements of original research with the comprehensive characteristics of a review study. The review critically analyses each component in the landslide risk analysis providing a detailed explanation of their state‐of‐the‐art, with dedicated sections on susceptibility, hazard, exposure, and vulnerability. To put the theoretical framework to test, we also dive into a case study, expressed at the continental scale. Specifically, we take the main European mountain ranges and provide the reader with a textbook example of risk assessment for such a large territory. In doing so, we take into account issues associated with cross‐national differences in landslide mapping. As a result, we identify landslide‐prone European landscape and explore the associated possible economic consequences (human settlements and agricultural areas). We also analyze the population at risk during daytime and nighttime. Moreover, a modern view of the problem is explored in the form of how risk outcomes should be delivered to master planners and geoscientific personnel alike. Specifically, we convert our output into an interactive Web Application (https://pan‐european‐landslide‐risk.github.io/) to include notions of scientific communication both to a large public as well as to a technical audience.
An Observation‐Driven Framework for Modeling Post‐Fire Hydrologic Response: Evaluation for Two Central California Case Studies
Authors: Lahmers Timothy M. , Kumar Sujay V. , Ahmad Shahryar K. , Holmes Thomas , Getirana Augusto , Orland Elijah , Locke Kim , Biswas Nishan Kumar , Nie Wanshu , Pflug Justin , Whitney Kristen , Anderson Martha , Yang Yun 
Published: February 2025

AbstractIn a warming climate, wildfires are becoming increasingly common, especially in semi‐arid environments. Wildfires can disrupt forest ecosystems and induce changes to the land surface. Collectively, these impacts can alter the hydrologic response of a catchment following a fire, resulting in increased potential for surface runoff, reduced evapotranspiration, and, ultimately, a higher risk for flash flooding and mass wasting. The timescale of post‐fire recovery of hydrological processes to return to pre‐fire conditions is not well established due to the lack of ground measurements. Accurate characterization of the impacts of fire on hydrologic response is also challenging to simulate, given the complex interplay of various processes. Here, we present a generalized framework to quantify the impacts of wildfire on runoff generation. We consider the disturbances in the vegetation and soil as the two main factors contributing to post‐fire floods. Using an ensemble modeling structure to account for parameter uncertainty, remotely sensed leaf area index (LAI) is assimilated into a land surface model (LSM) to simulate vegetation disturbance, and the maximum land surface saturation LSM parameter is decreased to parameterize the soil disturbance following observed fires. We consider the impacts of fire‐induced changes to LAI and soil saturation on hydrologic states like runoff and evapotranspiration for two case studies. These case studies demonstrate the general applicability of hydrophobicity formulation to serve as a guideline for exploring the range of hydrologic responses post‐fire.
Observations and Biogeochemical Modeling Reveal Chlorophyll Diel Cycle With Near‐Sunset Maxima in the Red Sea
Authors: Wang Yixin , Mazloff Matthew R. , Verdy Ariane , Cerovecki Ivana , Kheireddine Malika , Naylor Patrick , Krokos George , Hoteit Ibrahim 
Published: February 2025

AbstractThe Red Sea is an extremely warm tropical sea hosting diverse ecosystems, with marine organisms operating at the high end of their thermal tolerance. Therefore, in the context of global warming, it is increasingly important to understand the Red Sea ecosystem, including the variability of chlorophyll at different spatiotemporal scales. Using a coupled physical–biogeochemical model and in situ data, we investigate and quantify the diel cycle in Red Sea chlorophyll concentration for the first time, revealing near‐sunset chlorophyll maxima at 17 ± 1 hr local time over the entire basin. This chlorophyll peak time is considerably later than those reported in most other oceans, reflecting the previously reported high irradiance and further suggesting potentially low grazing rates in the Red Sea. Model‐based analyses reveal that chlorophyll diel cycle is predominantly controlled by light‐driven circadian rhythm (i.e., irradiance), whereas longer‐timescale (e.g., seasonal) chlorophyll variability is regulated by nutrient availability, suggesting a light‐limited biological production on a diel timescale and a nutrient‐limited production on a seasonal scale. The identified chlorophyll diel cycle comprises a fundamental component of the Red Sea ecology and has implications for chlorophyll remote sensing and in situ measurements. Our findings indicate that future field studies investigating phytoplankton growth and zooplankton grazing dynamics—such as phytoplankton community composition and zooplankton diel vertical migration—are still needed to further elucidate the revealed chlorophyll diel cycle in this potentially unique tropical sea.
Can Hot and Cold Slabs Transport Water Into the Deep Mantle Beyond Subduction Zone Magmatism?
Authors: Ribeiro Julia M. , Ryan Jeff , Wu Jonny 
Published: February 2025

AbstractThe slab thermal state model predicts that only cold slabs should retain some of their intra‐slab water beyond subduction zones, while warmer slabs should be nearly dry past the volcanic arc front. Such predictions are yet to be fully tested, as they mostly rely on numerical modeling. To further test the slab thermal model, here we have examined slab‐sensitive elemental and isotopic tracers in recently erupted basalts (<5 Myr) from along and across an arc transect at end‐member types of cold (NE Japan) and hot subduction zones (SW Japan and Ryukyu) and beyond (eastern China intraplate volcanism). We show that the oceanic crust and the incoming hydrated mantle from the cold subducted Pacific plate are the main water carriers beyond subduction zones. Only cold slabs may thus recycle part of their intra‐slab H2O into the lower mantle. Warmer slabs are too dry past the back‐arc or too short‐lived to exert a first order control on deep water recycling.
Humid Summers Promote Urban Aqueous‐Phase Production of Oxygenated Organic Aerosol in the Northeastern United States
Authors: Rogers Mitchell J. , Joo Taekyu , Hass‐Mitchell Tori , Canagaratna Manjula R. , Campuzano‐Jost Pedro , Sueper Donna , Tran Mia N. , Machesky Jo E. , Roscioli Joseph R. , Jimenez Jose L. , Krechmer Jordan E. , Lambe Andrew T. , Nault Benjamin A. , Gentner Drew R. 
Published: February 2025

AbstractAqueous‐phase uptake and processing of water‐soluble organic compounds can promote secondary organic aerosol (SOA) production. We evaluated the contributions of aqueous‐phase chemistry to summertime urban SOA at two sites in New York City. The relative role of aqueous‐phase processing varied with chemical and environmental conditions, with evident daytime SOA enhancements (e.g., >1 μg/m3) during periods with relative humidities (RH) exceeding 65% and often higher temperatures. Oxygenated organic aerosol (OOA) production was also sensitive to secondary inorganic aerosols, in part through their influence on aerosol liquid water. On average, high‐RH periods exhibited a 69% increase in less‐oxidized OOA production in Queens, NY. These enhancements coincided with southerly backward trajectories and greater inorganic aerosol concentrations, yet showed substantial intra‐city variability between Queens and Manhattan. The observed aqueous‐phase SOA production, even with historically low sulfate and nitrate aerosol loadings, highlights both opportunities and challenges for continued reductions in summertime PM2.5 in urban communities.
Record Early Sea Ice Loss in Southeastern Hudson Bay in Spring 2024
Authors: Soriot C. , Stroeve J. , Crawford A. 
Published: February 2025

AbstractHudson Bay seasonal sea‐ice cover plays an important role in marine ecosystems and human activities. Spring 2024 witnessed a uniquely early southeastern opening, leading to basin‐wide sea ice extent falling 5 below the 1979–2023 average. Here, we show that a strong pressure gradient between high pressure over the Canadian Archipelago and low pressure to the south led to unusually strong and persistent winds from the east during May 2024. Consequently, the median sea ice opening date in the southeast was 31 days earlier than the 1979–2023 median, while sea ice opening in the west was delayed by 13 days. Early opening and warmer than average sea surface temperatures have extended the ice‐free period to 202 days in southeastern Hudson Bay, with potentially dramatic consequences on the local marine ecosystem and contributed to the record low Arctic‐wide sea ice extent by December 2024.
The Role of Bedrock Circulation Depth and Porosity in Mountain Streamflow Response to Prolonged Drought
Authors: Carroll Rosemary W. H. , Manning Andrew H. , Williams Kenneth H. 
Published: February 2025

AbstractQuantitative understanding is lacking on how the depth of active groundwater circulation in bedrock affects mountain streamflow response to a multi‐year drought. We use an integrated hydrological model to explore the sensitivity of a variety of streamflow metrics to bedrock circulation depth and porosity under a plausible extreme drought scenario lasting up to 5 years. Endmember depth versus hydraulic conductivity relationships and porosity values for fractured crystalline rock are simulated. With drought, a deeper circulation system with higher drainable porosity more effectively buffers minimum flow and significantly limits perennial stream loss in comparison to a shallow circulation system. Streamflow buffering is accomplished through extensive groundwater storage loss. However, deeper circulation systems experience prolonged recovery from drought in comparison to storage‐limited shallow systems. Research highlights the importance of characterizing the deeper bedrock hydrogeology in mountainous watersheds to better understand and predict drought impacts on stream ecosystem health and water resource sustainability.
Impact of Sea Ice Over the Greenland Sea on the Indian Ocean Dipole Mode During Boreal Autumn
Authors: Chen Chen , Zeng Gang , Datti Aminu Dalhatu 
Published: February 2025

AbstractThis study identifies a significant positive relationship between Indian Ocean dipole mode (IODM) and Greenland Sea sea ice concentration (GSSIC) in autumn during 1980–2023. The increasing GSSIC can lead to a vertical circulation cell anomaly between the polar region and middle latitude over the North Atlantic due to the thermal condition anomalies. The associated anomalous ascending flow over the coast of western Europe generates wave train propagating southeastward from mid‐high latitude Atlantic to the North Indian Ocean (IO), causing anomalous anticyclone over the Indian Ocean. The related anomalous easterlies over tropical IO contribute to the positive IODM (warmer SSTA over west tropical IO but cooler SSTA off Sumatra–Java) through weakening the wind‐evaporation‐SST feedback over tropical IO and shallowing (deepening) thermocline along the coastal of Sumatra‐Java (west tropical IO). Moreover, the numerical experiments can basically reproduce the observed mechanisms.
Long‐Term High‐Resolution Radiosonde Measurements Reveal More Intensified and Frequent Turbulence at Cruising Altitude in China
Authors: Sun Yuping , Guo Jianping , Chen Tianmeng , Li Ning , Guo Xiaoran , Xu Hui , Zhang Zhen , Shi Yu , Zeng Liping , Chen Juan , Meng Deli 
Published: February 2025

AbstractTurbulence is of great importance for aviation safety, but its long‐term trend in China remains unclear due to the scarcity of in‐situ measurements. Here the national‐scale assessment of turbulence dissipation rate (ε) at flight cruising altitude (200 hPa) in China is conducted for the period from 2010 to 2022 using high‐resolution radiosonde measurements. Results show that both the intensity and frequency of turbulence exhibit a significant upward trend, particularly in the mid‐latitude regions. Furthermore, 12 other turbulence diagnostic parameters from ERA5 reanalysis show a similar increasing trend, corroborating the intensified trend in radiosonde‐derived turbulence. This more intensified and frequent turbulence is found to be closely associated with the increasing occurrence of jet streams, which could be attributed to the dynamic instability induced by the wind shear around jet streams. The findings help advance our understanding of turbulence trend and its underlying mechanism in the mid‐latitude regions under global warming.
Evolution of Plume Volcanism at Atla Regio, Venus
Authors: Mason P. J. , Klidaras A. , Cirium D. , Ghail R. C. , Lea‐Wurzbach S. 
Published: February 2025

AbstractAtla Regio is a large topographic rise, at the equator of Venus, considered to sit above a young mantle upwelling. Hosting several giant shield volcanoes, including Maat Mons, it is a strong candidate for recent eruptive activity. Through detailed analysis of material units and structures at Ozza, Maat and Sapas Mons, northern Dali Chasma and the surrounding plains, we have unraveled the tectono‐magmatic evolution at Atla Regio. Lithostratigraphic analysis, of the volcanic styles, lava flow relationships, rift–associated shield clusters, graben‐fissure systems and pit cratering, in relation to the regional plains and other older features, has enabled the establishment of a model of the evolution of volcanism. Structural analysis reveals that graben‐fissure systems at Ozza Mons transition outward into three major rifts, and two new, unnamed volcanoes are identified. Our model is evidenced by analysis of lava flow stratigraphy and cross‐cutting relationships with respect to the stratigraphic marker provided by the ejecta halo of the Uvaysi impact, and using sound stratigraphic principles. A relative chronostratigraphic framework for the area around Ozza and Maat Mons has thus been constructed, and our findings are in agreement with prior research. A new regional history is proposed here, where volcanism was initially concentrated along Dali Chasma, before plume volcanism took over at Ozza Mons and finally, Maat Mons became the most recent locus of volcanism. We propose that the pattern of large shield volcanoes with displaced centers here is indicative of minor crustal adjustments above a relatively long‐lived mantle plume.
Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona
Authors: Wang Tingyu , Luo Bingxian , Wang Jingjing , Ao Xianzhi , Shi Liqin , Zhong Qiuzhen , Liu Siqing 
Published: February 2025

AbstractWith the increasing number of large constellations, it is crucial to accurately predict satellite positions and movements using upper atmosphere models driven by geomagnetic indices. Machine learning (ML) can quickly provide geomagnetic index predictions. However, previous research using ML to forecast Stream Interaction Region‐driven (SIR‐driven) geomagnetic storms primarily follows two approaches: using real‐time observations at the L1 point with historical geomagnetic indices, which lacks solar source information, or using solar images as input. To forecast SIR‐driven storms over longer horizons (3 days), a neural network model is constructed by incorporating coronal magnetic field physical parameters and the coronal hole features extracted from solar images (). We first select the appropriate combination of coronal magnetic parameters for forecasting geomagnetic indices. Using the Explainable AI technique, we find that the model can learn the propagation characteristics of interactions between high‐ and low‐speed solar wind from historical coronal parameters, which relate to the physical process of SIR formation, providing a physical basis for the approach. We then introduce and the historical Kp index to develop an optimal model. Based on accuracy evaluations across different activity levels and solar cycle phases, the model has proven to provide reasonable forecast results for SIR‐driven events over the next 2–3 days. The model outperforms an empirical model and two ML models in terms of event detection ability for horizons longer than one day. This study offers a new approach for 3‐day geomagnetic disturbance forecasting using a deep neural network.