Geoscience Data Journal最新文献_第5页

MERRA2_CNN_HAQAST_PM25: Hourly Bias-Corrected PM2.5 Datasets for Global Air Quality Assessment MERRA2_CNN_HAQAST_PM25：全球空气质量评估逐小时偏差校正PM2.5数据集

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-27 DOI: 10.1002/gdj3.70070

Pawan Gupta, Alqamah Sayeed

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-27

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-22

引用次数: 0

A Database of Low-Temperature Thermochronology in East Asia 东亚低温热年代学数据库

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-22 DOI: 10.1002/gdj3.70069

Chenghao Liu, Shaofeng Liu, Bo Zhang

{"title":"A Database of Low-Temperature Thermochronology in East Asia","authors":"Chenghao Liu, Shaofeng Liu, Bo Zhang","doi":"10.1002/gdj3.70069","DOIUrl":"https://doi.org/10.1002/gdj3.70069","url":null,"abstract":"The low closure temperature of the dating system in low-temperature thermochronology allows shallow crustal movements to be recorded. In recent decades, this approach has been used extensively in studies of orogenic belt exhumation, sedimentary basin evolution, and topographic and geomorphologic evolution. A substantial portion of the data for East Asia is documented in both Chinese and English literature, so establishing a unified database greatly enhances data reuse, which is crucial for studying regional geological evolution. This paper compiles data from four low-temperature thermochronology methods—zircon fission track, zircon (U-Th)/He, apatite fission track and apatite (U-Th)/He—for East Asia. Based on these data, a comprehensive low-temperature thermochronology database for East Asia has been established. It includes details of sample source (source literature, lithology, geological age), location (longitude, latitude, elevation), experimental methods, measurement results and related measurement information. Currently, the database contains 8804 sample records and 10,751 dating results from 1010 literature sources. The database is designed to help researchers understand the current research landscape, avoid redundant data collection, and prevent reprocessing of the same samples.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567921","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 Low-Temperature Thermochronology in East Asia 东亚低温热年代学数据库

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-22 DOI: 10.1002/gdj3.70069

Chenghao Liu, Shaofeng Liu, Bo Zhang

{"title":"A Database of Low-Temperature Thermochronology in East Asia","authors":"Chenghao Liu, Shaofeng Liu, Bo Zhang","doi":"10.1002/gdj3.70069","DOIUrl":"10.1002/gdj3.70069","url":null,"abstract":"The low closure temperature of the dating system in low-temperature thermochronology allows shallow crustal movements to be recorded. In recent decades, this approach has been used extensively in studies of orogenic belt exhumation, sedimentary basin evolution, and topographic and geomorphologic evolution. A substantial portion of the data for East Asia is documented in both Chinese and English literature, so establishing a unified database greatly enhances data reuse, which is crucial for studying regional geological evolution. This paper compiles data from four low-temperature thermochronology methods—zircon fission track, zircon (U-Th)/He, apatite fission track and apatite (U-Th)/He—for East Asia. Based on these data, a comprehensive low-temperature thermochronology database for East Asia has been established. It includes details of sample source (source literature, lithology, geological age), location (longitude, latitude, elevation), experimental methods, measurement results and related measurement information. Currently, the database contains 8804 sample records and 10,751 dating results from 1010 literature sources. The database is designed to help researchers understand the current research landscape, avoid redundant data collection, and prevent reprocessing of the same samples.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568193","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

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-19

引用次数: 0

Fluorescence Quantum Efficiency Data for Europe 2018–2025 欧洲2018-2025年荧光量子效率数据

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-19 DOI: 10.1002/gdj3.70068

David Herrera, Uwe Rascher, Zbyněk Malenovský, Bastian Siegmann

{"title":"Fluorescence Quantum Efficiency Data for Europe 2018–2025","authors":"David Herrera, Uwe Rascher, Zbyněk Malenovský, Bastian Siegmann","doi":"10.1002/gdj3.70068","DOIUrl":"10.1002/gdj3.70068","url":null,"abstract":"Top-of-canopy solar-induced chlorophyll fluorescence (SIF) is strongly affected by canopy structure and illumination conditions, which limits the use of current satellite-based SIF products for detecting vegetation stress. To address this, we present a new dataset that combines TROPOMI SIF observations with MODIS photosynthetically active radiation (PAR) data (MCD18C2/A2) to derive a fluorescence quantum efficiency (ΦF) product across continental Europe, the UK and Ireland and northern Africa from 2018 to 2025. The dataset has a spatial resolution of 0.05° and daily, decadal and monthly temporal coverage. Building on a multi-sensor ΦF formulation from the literature, a previous analysis in Germany demonstrated that ΦF is sensitive to agricultural drought, revealing stress-related signals with a two-day lag in both agricultural and forest ecosystems, signals that were not detectable using top-of-canopy SIF alone or traditional vegetation indices. The dataset includes all input bands, allowing users to adapt or refine the calculation of ΦF. It also provides quality layers, including phase angle, solar zenith angle (SZA), cloud fraction and the retrieval error of the top-of-canopy SIF product. This dataset is designed to facilitate further research on the relationship between ΦF and vegetation stress across European biomes, notably in the context of drought detection.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567474","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

Fluorescence Quantum Efficiency Data for Europe 2018–2025 欧洲2018-2025年荧光量子效率数据

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-19 DOI: 10.1002/gdj3.70068

David Herrera, Uwe Rascher, Zbyněk Malenovský, Bastian Siegmann

{"title":"Fluorescence Quantum Efficiency Data for Europe 2018–2025","authors":"David Herrera, Uwe Rascher, Zbyněk Malenovský, Bastian Siegmann","doi":"10.1002/gdj3.70068","DOIUrl":"https://doi.org/10.1002/gdj3.70068","url":null,"abstract":"Top-of-canopy solar-induced chlorophyll fluorescence (SIF) is strongly affected by canopy structure and illumination conditions, which limits the use of current satellite-based SIF products for detecting vegetation stress. To address this, we present a new dataset that combines TROPOMI SIF observations with MODIS photosynthetically active radiation (PAR) data (MCD18C2/A2) to derive a fluorescence quantum efficiency (ΦF) product across continental Europe, the UK and Ireland and northern Africa from 2018 to 2025. The dataset has a spatial resolution of 0.05° and daily, decadal and monthly temporal coverage. Building on a multi-sensor ΦF formulation from the literature, a previous analysis in Germany demonstrated that ΦF is sensitive to agricultural drought, revealing stress-related signals with a two-day lag in both agricultural and forest ecosystems, signals that were not detectable using top-of-canopy SIF alone or traditional vegetation indices. The dataset includes all input bands, allowing users to adapt or refine the calculation of ΦF. It also provides quality layers, including phase angle, solar zenith angle (SZA), cloud fraction and the retrieval error of the top-of-canopy SIF product. This dataset is designed to facilitate further research on the relationship between ΦF and vegetation stress across European biomes, notably in the context of drought detection.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567476","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

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-16

引用次数: 0

Deep Quake Dynamics: A Multimodal Fault-Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting 深震动力学：地震震级和发生时间预测的多模态故障感知方法

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-03-16 DOI: 10.1002/gdj3.70066

Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu

{"title":"Deep Quake Dynamics: A Multimodal Fault-Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting","authors":"Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu","doi":"10.1002/gdj3.70066","DOIUrl":"10.1002/gdj3.70066","url":null,"abstract":"Earthquake (EQ) forecasting is critical for early warning systems. We propose an EQ Magnitude-Time (EQMT) Forecasting Model that integrates real-world inter-fault relations, multiple data sources, and advanced modelling techniques to forecast EQ magnitudes and classify occurrence times. The model converts fault lines into graph representations and extracts node embeddings to capture spatial inter-fault dependencies. We evaluated EQMT on seismic events in the northern Aegean region, where the North Anatolian Fault intersects the Aegean extensional system. The proposed model attains a mean absolute error of 0.33 for magnitude forecasting and an F1 score of 81.39% for occurrence-time classification. Furthermore, to enhance the interpretability of both magnitude and occurrence time forecasting tasks, we applied SHapley Additive exPlanations (SHAP)-based explainable Artificial Intelligence (XAI) analyses, which provide insights into the contribution of individual seismic and fault-related features to the model's forecast. SHAP-based explainability analysis reveals that observation-duration features and graph embeddings are the primary contributors to model predictions. These results demonstrate the potential of fault-aware, graph-based approaches for operational EQ forecasting.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147566476","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