cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30559440.v1
title: Co-variation of nitrogen isotopes and Palaeo-redox conditions during the Middle Triassic Luoping biota preservation in South China

description: The early Middle Triassic (Anisian) Luoping biota serves as a significant example of marine ecosystem recovery following the Permian–Triassic mass extinction. However, the specific burial environment and mechanisms responsible for this exceptional preservation remain to be fully elucidated. The nitrogen isotopic composition of ancient sediments can provide valuable insights into the nitrogen biogeochemical cycle of the ocean and the redox conditions of the water column. In this study, we present bulk nitrogen isotopic compositions (δ<sup>15</sup>N<sub>bulk</sub>), C/N<sub>mol</sub> ratios, and the concentrations of Al and K<sub>2</sub>O content from Member II of the Middle Triassic Guanling Formation at the Xiangdongpo (XDP) section in Luoping County, Yunnan Province, South China. The lower and upper fossiliferous layers of the Luoping biota exhibit distinct nitrogen isotopic compositions. The lower fossiliferous layers demonstrate relatively low nitrogen isotope values (−4.01‰ to +4.24‰, mean =  +1.61‰), indicating non-quantitative assimilation of upwelled NH<sub>4</sub><sup>+</sup>, while the upper layers display relatively high nitrogen isotope values (+3.04‰ to +8.91‰, mean =  +6.52‰) with a temporary moderately negative bias, suggesting assimilation of upwelled NO<sub>3</sub><sup>−</sup> from non-quantitative denitrification. The δ<sup>15</sup>N<sub>bulk</sub> shows a negative correlation with productivity and redox proxies (TOC/Al, P/Al, Mo<sub>EF</sub>, and U<sub>EF</sub>), indicating that the negative deviations of nitrogen isotopes correspond to high productivity and anoxic conditions, both of which are beneficial for the preservation of the biota. The concentrations of Al and K<sub>2</sub>O, which indicate clay mineral content, show a significant increase in interval IV compared to interval II. This increase may further enhance the burial efficiency of the fossils. In summary, our results indicate that the negative nitrogen isotope deviations are consistent with relatively high productivity and anoxic water conditions, which facilitate the burial of the Luoping biota. Additionally, the increase in clay minerals can also promote fossil preservation to some extent, further enhancing the burial process.
DOI: 10.6084/m9.figshare.30715259
title: Meso–Neoproterozoic rift system along the southwestern North China Craton: evidence from recent drilling and seismic data

description: It is widely accepted that three Meso–Neoproterozoic rift systems exist within the North China Craton (NCC): Xiong’er Rift System, Zhaertai-Bayan Obo Rift System, and Yanliao Rift System. However, the presence of an additional rift system on the southwestern margin of the NCC has long been debated, primarily because volcanic rocks have not been identified in outcrops. To address this gap, we conducted geochronological, geochemical, and stratigraphic investigations using drilling cores from the Pantan 1 well together with a regional two-dimensional seismic profile. Moreover, by comparing the lithology of the Xiong’er Group in the Mesoproterozoic Changcheng System of the Xiong’er Rift System, we reconstructed a Mesoproterozoic sedimentary – volcanic stratigraphic sequence for the southwestern margin of the NCC. Therefore, this study proposes the existence of a fourth Meso–Neoproterozoic rift, here referred to as the Guyuan Rift, located along the southwestern margin of the NCC. This rift is distinguished by a unique lithological assemblage that includes volcanic rocks such as basaltic andesite and diabase. The U–Pb ages of the basaltic andesite are 1768.51 ± 0.39 Ma and 1778.70 ± 8.0 Ma. These values correspond to the U–Pb age of 1772.50 ± 4.9 Ma obtained for volcanic rocks in the upper part of the Xiong’er Group in the Zhongtiao Mountains. In addition, the U–Pb age of the diabase is 813.5 ± 7 Ma. The basaltic andesite appears as a wave-impedance layer in the deep seismic reflection profile. The geochemical characteristics of both the basaltic andesite and the diabase dykes indicate that continental rift basins formed along the southwestern margin of the NCC during the Early Mesoproterozoic and Neoproterozoic. Taken together, these findings support the existence of a Meso–Neoproterozoic rift system on the southwestern margin of the NCC. They also provide new evidence for reconstructing the tectonic framework of the NCC during this interval.
DOI: 10.6084/m9.figshare.30715259.v1
title: Meso–Neoproterozoic rift system along the southwestern North China Craton: evidence from recent drilling and seismic data

description: It is widely accepted that three Meso–Neoproterozoic rift systems exist within the North China Craton (NCC): Xiong’er Rift System, Zhaertai-Bayan Obo Rift System, and Yanliao Rift System. However, the presence of an additional rift system on the southwestern margin of the NCC has long been debated, primarily because volcanic rocks have not been identified in outcrops. To address this gap, we conducted geochronological, geochemical, and stratigraphic investigations using drilling cores from the Pantan 1 well together with a regional two-dimensional seismic profile. Moreover, by comparing the lithology of the Xiong’er Group in the Mesoproterozoic Changcheng System of the Xiong’er Rift System, we reconstructed a Mesoproterozoic sedimentary – volcanic stratigraphic sequence for the southwestern margin of the NCC. Therefore, this study proposes the existence of a fourth Meso–Neoproterozoic rift, here referred to as the Guyuan Rift, located along the southwestern margin of the NCC. This rift is distinguished by a unique lithological assemblage that includes volcanic rocks such as basaltic andesite and diabase. The U–Pb ages of the basaltic andesite are 1768.51 ± 0.39 Ma and 1778.70 ± 8.0 Ma. These values correspond to the U–Pb age of 1772.50 ± 4.9 Ma obtained for volcanic rocks in the upper part of the Xiong’er Group in the Zhongtiao Mountains. In addition, the U–Pb age of the diabase is 813.5 ± 7 Ma. The basaltic andesite appears as a wave-impedance layer in the deep seismic reflection profile. The geochemical characteristics of both the basaltic andesite and the diabase dykes indicate that continental rift basins formed along the southwestern margin of the NCC during the Early Mesoproterozoic and Neoproterozoic. Taken together, these findings support the existence of a Meso–Neoproterozoic rift system on the southwestern margin of the NCC. They also provide new evidence for reconstructing the tectonic framework of the NCC during this interval.
DOI: 10.6084/m9.figshare.30604686
title: ARMADILLO_MB: a user-friendly multiplatform Excel<sup>TM</sup> spreadsheet for least-squares major elements mass balance regression analysis applied to magmatic systems

description: ARMADILLO_MB is a user-friendly Excel<sup>TM</sup> spreadsheet to perform least-squares major element oxide mass balance regression analysis applied to igneous petrogenetic processes such as Rayleigh fractional crystallization (FC), cumulate formation, equilibrium batch melting (EBM), and assimilation (solid phase(s) and/or a third magma) coupled fractional crystallization. The novelty of ARMADILLO_MB is that it is written the old way, with cells directly hosting formulas containing built-in functions without VBA programming and macro-enabled worksheets. This design is conceived to enable rapid evaluation of models <i>via</i> copy-and-paste from the user’s own data tables, allow compatibility with several (current and earlier) versions of Excel<sup>TM</sup>, and to prevent macro-security risk/block and to overcome conflict/incompatibility problems due to different processor architectures. This makes ARMADILLO_MB an easy-to-use multiplatform Excel<sup>TM</sup> spreadsheet to help dig into igneous petrological processes.
DOI: 10.6084/m9.figshare.30604686.v1
title: ARMADILLO_MB: a user-friendly multiplatform Excel<sup>TM</sup> spreadsheet for least-squares major elements mass balance regression analysis applied to magmatic systems

description: ARMADILLO_MB is a user-friendly Excel<sup>TM</sup> spreadsheet to perform least-squares major element oxide mass balance regression analysis applied to igneous petrogenetic processes such as Rayleigh fractional crystallization (FC), cumulate formation, equilibrium batch melting (EBM), and assimilation (solid phase(s) and/or a third magma) coupled fractional crystallization. The novelty of ARMADILLO_MB is that it is written the old way, with cells directly hosting formulas containing built-in functions without VBA programming and macro-enabled worksheets. This design is conceived to enable rapid evaluation of models <i>via</i> copy-and-paste from the user’s own data tables, allow compatibility with several (current and earlier) versions of Excel<sup>TM</sup>, and to prevent macro-security risk/block and to overcome conflict/incompatibility problems due to different processor architectures. This makes ARMADILLO_MB an easy-to-use multiplatform Excel<sup>TM</sup> spreadsheet to help dig into igneous petrological processes.
DOI: 10.6084/m9.figshare.30695362
title: Volcanic-Plutonic links in the Peruvian Coastal Batholith: insights from Geochronology and arc migration

description: The formation of the Peruvian Coastal Batholith (PCB) in the Central Peruvian Margin (7–15°S) is closely related to volcanic activity. This study integrates geochronological data and geospatial analysis to examine the temporal and spatial development of magmatic events within this region, focusing on the relationship between volcanic and plutonic events. Geochronological data, including new U-Pb zircon ages, show that the PCB formed concurrently with volcanic activity in the West Peruvian Trough during episodic flare-ups beginning in the Lower Cretaceous (136 Ma) and continuing through the Miocene. Geospatial analysis indicates that plutonic and volcanic centres followed the same arc migration pattern, supporting a model of integrated volcanic–plutonic arc development and arc migration (~1 km/Ma) through subduction erosion and the gradual shallowing of the slab.
DOI: 10.6084/m9.figshare.30695362.v1
title: Volcanic-Plutonic links in the Peruvian Coastal Batholith: insights from Geochronology and arc migration

description: The formation of the Peruvian Coastal Batholith (PCB) in the Central Peruvian Margin (7–15°S) is closely related to volcanic activity. This study integrates geochronological data and geospatial analysis to examine the temporal and spatial development of magmatic events within this region, focusing on the relationship between volcanic and plutonic events. Geochronological data, including new U-Pb zircon ages, show that the PCB formed concurrently with volcanic activity in the West Peruvian Trough during episodic flare-ups beginning in the Lower Cretaceous (136 Ma) and continuing through the Miocene. Geospatial analysis indicates that plutonic and volcanic centres followed the same arc migration pattern, supporting a model of integrated volcanic–plutonic arc development and arc migration (~1 km/Ma) through subduction erosion and the gradual shallowing of the slab.
DOI: 10.5281/zenodo.18326566
title: RDMO-Arbeitsgemeinschaft

description: Im Herbst 2020 endete die DFG-Förderung für RDMO, die Forschungsdatenmanagementsoftware Research Data Management Organiser. Die RDMO-Software wird an vielen Forschungseinrichtungen in Deutschland als Werkzeug zur dynamischen Begleitung des Forschungsdatenmanagements in Projekten sowie zur Erstellung von Datenmanagementplänen eingesetzt. Um die Open-Source-Software weiterhin nutzbar zu halten und kontinuierlich weiterzuentwickeln, wurde mit der Unterzeichnung eines Memorandum of Understanding (MoU) die Arbeitsgemeinschaft (AG) RDMO gegründet.

Auf RDMO-Community-Treffen in Potsdam wurde hierfür der Weg geebnet, indem eine künftige Organisationsstruktur mit verschiedenen Gremien etabliert wurde. Diese Struktur soll die zukünftige Entwicklung von RDMO tragen und ist im MoU detailliert beschrieben. Die RDMO-Arbeitsgemeinschaft hat drei Arbeitsgruppen gebildet: die Softwaregruppe, die Steuerungsgruppe und die Contentgruppe.
DOI: 10.5281/zenodo.18326567
title: RDMO-Arbeitsgemeinschaft

description: Im Herbst 2020 endete die DFG-Förderung für RDMO, die Forschungsdatenmanagementsoftware Research Data Management Organiser. Die RDMO-Software wird an vielen Forschungseinrichtungen in Deutschland als Werkzeug zur dynamischen Begleitung des Forschungsdatenmanagements in Projekten sowie zur Erstellung von Datenmanagementplänen eingesetzt. Um die Open-Source-Software weiterhin nutzbar zu halten und kontinuierlich weiterzuentwickeln, wurde mit der Unterzeichnung eines Memorandum of Understanding (MoU) die Arbeitsgemeinschaft (AG) RDMO gegründet.

Auf RDMO-Community-Treffen in Potsdam wurde hierfür der Weg geebnet, indem eine künftige Organisationsstruktur mit verschiedenen Gremien etabliert wurde. Diese Struktur soll die zukünftige Entwicklung von RDMO tragen und ist im MoU detailliert beschrieben. Die RDMO-Arbeitsgemeinschaft hat drei Arbeitsgruppen gebildet: die Softwaregruppe, die Steuerungsgruppe und die Contentgruppe.
DOI: 10.6084/m9.figshare.30223681
title: Geological and biological characterization of the Miramare Marine Protected Area, north-eastern Adriatic Sea (Italy)

description: Marine protected areas are essential for the conservation of marine environment, biodiversity and geodiversity. Ecosystems are closely linked to the variability of different geological settings and it is important to integrate different data for effective management. To this purpose, geophysical, geological and biological surveys have been carried out in the Miramare Marine Protected Area (north-eastern Adriatic Sea) since 2003 to characterize the seabed and the subsurface. We present seven thematic maps: subsurface maps, morpho-bathymetric maps, sediment texture, bionomic maps and the synthesis in the geo-biological map, which combines and integrates data interpretations from both the geological and biological domains to illustrate the marine environment of Miramare.
DOI: 10.6084/m9.figshare.30223681.v2
title: Geological and biological characterization of the Miramare Marine Protected Area, north-eastern Adriatic Sea (Italy)

description: Marine protected areas are essential for the conservation of marine environment, biodiversity and geodiversity. Ecosystems are closely linked to the variability of different geological settings and it is important to integrate different data for effective management. To this purpose, geophysical, geological and biological surveys have been carried out in the Miramare Marine Protected Area (north-eastern Adriatic Sea) since 2003 to characterize the seabed and the subsurface. We present seven thematic maps: subsurface maps, morpho-bathymetric maps, sediment texture, bionomic maps and the synthesis in the geo-biological map, which combines and integrates data interpretations from both the geological and biological domains to illustrate the marine environment of Miramare.
DOI: 10.5281/zenodo.18326760
title: Seismic data of RIS 12619 AFG 356580 - Svalbard
DOI: 10.5281/zenodo.18326761
title: Seismic data of RIS 12619 AFG 356580 - Svalbard
DOI: 10.6084/m9.figshare.30621185
title: A multi-objective Giant Pacific Octopus optimizer for scheduling resource-constrained multi-project systems with transfer constraints

description: This study introduces a novel bio-inspired algorithm, the Multi-Objective Giant Pacific Octopus Optimizer (MOGPOO), designed to solve the Resource-Constrained Multi-Project Scheduling Problem with resource transfer (RCMPSP with resource transfer). MOGPOO integrates multi-objective optimization principles with the adaptive search behavior of the Giant Pacific Octopus to effectively balance exploration and exploitation in complex, high-dimensional search spaces. The algorithm explicitly considers both time and cost in multi-mode resource transfers across projects – an aspect often neglected in existing scheduling methods. Computational experiments demonstrate that MOGPOO significantly outperforms benchmark algorithms, including Multi-objective Slime Mold Algorithm (MOSMA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-objective Elk Herd Optimization (MOEHO) and Multi-Objective Crested Porcupines Optimization (MOCPO), across several performance metrics such as makespan, total cost, average project delay (APD) and portfolio percentage delay (PDEL). Further assessment using standard quality indicators – Hypervolume (HV), Inverted Generational Distance Plus (IGD<sup>+</sup>), and Spacing (SP) – confirms its superior convergence and solution diversity. The algorithm’s effectiveness is reinforced by a theoretical convergence analysis using a Markov chain framework. These findings highlight MOGPOO as a robust and efficient solution for complex multi-project scheduling scenarios with dynamic inter-project resource coordination.
DOI: 10.6084/m9.figshare.30621185.v1
title: A multi-objective Giant Pacific Octopus optimizer for scheduling resource-constrained multi-project systems with transfer constraints

description: This study introduces a novel bio-inspired algorithm, the Multi-Objective Giant Pacific Octopus Optimizer (MOGPOO), designed to solve the Resource-Constrained Multi-Project Scheduling Problem with resource transfer (RCMPSP with resource transfer). MOGPOO integrates multi-objective optimization principles with the adaptive search behavior of the Giant Pacific Octopus to effectively balance exploration and exploitation in complex, high-dimensional search spaces. The algorithm explicitly considers both time and cost in multi-mode resource transfers across projects – an aspect often neglected in existing scheduling methods. Computational experiments demonstrate that MOGPOO significantly outperforms benchmark algorithms, including Multi-objective Slime Mold Algorithm (MOSMA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-objective Elk Herd Optimization (MOEHO) and Multi-Objective Crested Porcupines Optimization (MOCPO), across several performance metrics such as makespan, total cost, average project delay (APD) and portfolio percentage delay (PDEL). Further assessment using standard quality indicators – Hypervolume (HV), Inverted Generational Distance Plus (IGD<sup>+</sup>), and Spacing (SP) – confirms its superior convergence and solution diversity. The algorithm’s effectiveness is reinforced by a theoretical convergence analysis using a Markov chain framework. These findings highlight MOGPOO as a robust and efficient solution for complex multi-project scheduling scenarios with dynamic inter-project resource coordination.
DOI: 10.6084/m9.figshare.31113315
title: A multi-pathway feature engineering framework for total phosphorus retrieval from field hyperspectral data: a case study of Dianshan Lake

description: Eutrophication in inland lakes, driven by excessive total phosphorus (TP), necessitates robust monitoring methods. While hyperspectral remote sensing holds promise, accurate TP retrieval is hindered by its non-optically active nature and the complex spectral interplay in water bodies. This study aimed to develop a novel, interpretable framework to overcome these challenges by synergistically integrating diverse spectral features for improved TP estimation from field hyperspectral data. The key innovation of this study was a multi-pathway feature engineering framework that strategically merged three complementary information streams: spectral indices grounded in bio-optical theory via proxies for suspended solids (SS) and coloured dissolved organic matter (CDOM), statistically optimized features from Lasso regression, and machine learning-derived predictors from XGBoost. This fusion reconciled physical interpretability with data-driven predictive power. Applied to Dianshan Lake, the framework achieved a superior prediction accuracy (R<sup>2</sup> = 0.81) compared to any single pathway. Furthermore, hierarchical optimization distilled the fused features into a compact core set of only 8 predictors, retaining over 90% of the model’s performance and highlighting the framework’s efficiency. The study demonstrates a scalable and physiochemically insightful approach for advancing hyperspectral retrieval of non-optically active water quality parameters.
DOI: 10.6084/m9.figshare.31113315.v1
title: A multi-pathway feature engineering framework for total phosphorus retrieval from field hyperspectral data: a case study of Dianshan Lake

description: Eutrophication in inland lakes, driven by excessive total phosphorus (TP), necessitates robust monitoring methods. While hyperspectral remote sensing holds promise, accurate TP retrieval is hindered by its non-optically active nature and the complex spectral interplay in water bodies. This study aimed to develop a novel, interpretable framework to overcome these challenges by synergistically integrating diverse spectral features for improved TP estimation from field hyperspectral data. The key innovation of this study was a multi-pathway feature engineering framework that strategically merged three complementary information streams: spectral indices grounded in bio-optical theory via proxies for suspended solids (SS) and coloured dissolved organic matter (CDOM), statistically optimized features from Lasso regression, and machine learning-derived predictors from XGBoost. This fusion reconciled physical interpretability with data-driven predictive power. Applied to Dianshan Lake, the framework achieved a superior prediction accuracy (R<sup>2</sup> = 0.81) compared to any single pathway. Furthermore, hierarchical optimization distilled the fused features into a compact core set of only 8 predictors, retaining over 90% of the model’s performance and highlighting the framework’s efficiency. The study demonstrates a scalable and physiochemically insightful approach for advancing hyperspectral retrieval of non-optically active water quality parameters.
DOI: 10.6084/m9.figshare.31046065
title: Risk Management assessment of social sustainability in supply chains: a Bayesian Network model proposal

description: Recently, the social dimension of sustainability has become a focal point for academia and practitioners. Despite this growing attention, several unresolved challenges still exist within supply chain management (SCM), limiting the attainment of satisfactory levels of sustainability. This study fills this gap by proposing a Bayesian Network (BN) model, an Artificial Intelligence (AI) technique, for assessing the risk probability related to the social dimension of sustainability in supplier contracting. This novel approach utilises BN model incorporating the Human Development Index (HDI) and Global Slavery Index (GSI) to ascertain the likelihood of non-compliance risks in social aspects across apparel supply chains. Findings and testing of the BN model in apparel industry revealed that this model represents a proactive tool for decision-makers and practitioners by facilitating the monitoring and control of social burdens across SC tiers. Empirical analysis successfully identified the risk probability levels of non-compliance integrating company-specific data and external sources. The BN model offers a comprehensive understanding of the supply chain to mitigate a company’s risk and leverage its transparency regarding the social dimension of sustainability. The BN model offers an essential resource for practitioners, decision-makers, and academia to address more effectively the social dimension of sustainability in the SCM.