Abstract
B. Ağbulut, Š. Józsa
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Multiphase response of palynomorphs to the Toarcian Oceanic Anoxic Event (Early Jurassic) in the Réka Valley section, Hungary
10.1016/j.revpalbo.2016.09.011 · 2016
Palynofacies and palaeoenvironmental interpretation
1996
The palynological response to the Toarcian Oceanic Anoxic Event (Early Jurassic) at Peniche, Lusitanian Basin, western Portugal
10.1016/j.marmicro.2017.10.004 · 2017
Fazies, Paläontologie und organische Geochemie der Sachranger Schiefer (Untertoarcium) im Mittelabschnitt der Nördlichen Kalkalpen zwischen Isar und Saalach
1991
Unresolved referenced work
1997
Primary productivity and early diagenesis in the Toarcian Tethys on the example of the Mn-rich black shales of the Sachrang Formation, Northern Calcareous Alps
10.1016/s0146-6380(98)00069-2 · 1998
The Phytoclast Group as a tracer of palaeoenvironmental changes in the early Toarcian
2018
Mask R-CNN
2017
Massive dissociation of gas hydrate during a Jurassic oceanic anoxic event
10.1038/35019044 · 2000
Carbon-isotope record of the early Jurassic (Toarcian) oceanic anoxic event from fossil wood and marine carbonate, Lusitanian Basin, Portugal
10.1016/j.epsl.2006.11.009 · 2007
Geochemistry of oceanic anoxic events
10.1029/2009gc002788 · 2010
YOLOv8-based on-the-fly classifier system for pollen analysis of Guindo Santo (Eucryphia glutinosa) honey and assessment of its monoflorality
2025
Die Lias-Beckenentwicklung der Unkener Synklinale (Nördliche Kalkalpen, Salzburg) unter besonderer Berücksichtigung der Scheibelberg Formation
1997
Feature pyramid networks for object detection
2017
A carbon-isotope perturbation at the Pliensbachian–Toarcian boundary: evidence from the Lias group, NE England
10.1017/s0016756809990458 · 2010
Artificial intelligence applied to the automated detection and identification of Devonian miospores
10.5194/jm-45-405-2026 · 2026
Deep learning-based instance segmentation: a comprehensive review
10.1007/s00371-026-04444-8 · 2026
Biostrat AI: a new artificial intelligence-assisted tool to analyse palynology slides
2024
The fossil frontier: an answer to the 3-billion fossil question
2025
Early Toarcian black shales: a response to an oceanic anoxic event or anoxia in marginal basins?
2019
Redox conditions and depositional environment of the Lower Jurassic Bächental bituminous marls (Tyrol, Austria)
2016
Early diagenesis of organic-rich marls under shifting suboxic to euxinic conditions: the lower Toarcian of the Bächental basin
10.1016/j.marpetgeo.2020.104513 · 2020
Unresolved referenced work
Kept as external metadata until matched
Faster R-CNN: Towards real-time object detection with region proposal networks
2015
Elemental and oxygen isotope composition of Early Jurassic belemnites: salinity vs. temperature signals
10.1306/112603740342 · 2004
Machine learning applied to recognition of dinoflagellate cysts: type study with the species Batioladinium longicornutum
2025
A deep learning system for sporomorph identification and Spore Coloration Index (SCI) calculation for evaluating source rocks’ thermal maturity
10.1016/j.coal.2025.104921 · 2026
Pollen-YOLO: a deep learning framework for automated pollen identification and its application to palaeoecological reconstruction on the Tibetan Plateau
10.3390/quat9010006 · 2026
ArtPOP - Automated RecogniTion of Palynomorphs and Organic sedimentary Particles
2026
Detection, identification and clustering of palynomorphs using AI and machine learning
2023
Unresolved referenced work
1995
Early Jurassic climate change and the radiation of organic-walled phytoplankton in the Tethys Ocean
2005
Scampi - exploring the fossil frontier
2026
The geology of the Toarcian Oceanic Anoxic Event
2004
AI-driven microcharcoal recognition: advancing intelligent automation for paleofire reconstruction
10.1016/j.gloplacha.2026.105356 · 2026
AI-driven microcharcoal recognition: advancing intelligent automation for paleofire reconstruction
10.1016/j.gloplacha.2026.105356 · doi-reference
Pollen-YOLO: a deep learning framework for automated pollen identification and its application to palaeoecological reconstruction on the Tibetan Plateau
10.3390/quat9010006 · doi-reference
A deep learning system for sporomorph identification and Spore Coloration Index (SCI) calculation for evaluating source rocks’ thermal maturity
10.1016/j.coal.2025.104921 · doi-reference
Elemental and oxygen isotope composition of Early Jurassic belemnites: salinity vs. temperature signals
10.1306/112603740342 · doi-reference
Early diagenesis of organic-rich marls under shifting suboxic to euxinic conditions: the lower Toarcian of the Bächental basin
10.1016/j.marpetgeo.2020.104513 · doi-reference
Deep learning-based instance segmentation: a comprehensive review
10.1007/s00371-026-04444-8 · doi-reference
Artificial intelligence applied to the automated detection and identification of Devonian miospores
10.5194/jm-45-405-2026 · doi-reference
A carbon-isotope perturbation at the Pliensbachian–Toarcian boundary: evidence from the Lias group, NE England
10.1017/s0016756809990458 · doi-reference
Geochemistry of oceanic anoxic events
10.1029/2009gc002788 · doi-reference
Carbon-isotope record of the early Jurassic (Toarcian) oceanic anoxic event from fossil wood and marine carbonate, Lusitanian Basin, Portugal
10.1016/j.epsl.2006.11.009 · doi-reference
Massive dissociation of gas hydrate during a Jurassic oceanic anoxic event
10.1038/35019044 · doi-reference
Primary productivity and early diagenesis in the Toarcian Tethys on the example of the Mn-rich black shales of the Sachrang Formation, Northern Calcareous Alps
10.1016/s0146-6380(98)00069-2 · doi-reference
The palynological response to the Toarcian Oceanic Anoxic Event (Early Jurassic) at Peniche, Lusitanian Basin, western Portugal
10.1016/j.marmicro.2017.10.004 · doi-reference
Multiphase response of palynomorphs to the Toarcian Oceanic Anoxic Event (Early Jurassic) in the Réka Valley section, Hungary
10.1016/j.revpalbo.2016.09.011 · doi-reference