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apps Other research productkeyboard_double_arrow_right Other ORP type 2021 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Machine learning methods for processing big Earth data; Geomorphological landforms of the oceanic trenches, their formation and variation of the geometric shapes is a question of special importance to the scientific community in marine geology. The actuality of this question has significantly increased since the beginning of the rapid development of the IT tools and methods of the advanced data analysis, yet its understanding remains patchy. Since the majority of the oceanic trenches are located along the margins of the Pacific Ocean, it plays a central role for their analysis and understanding their formation oceanic trenches. Specific geological conditions, presence of the tectonic subduction zones, vast territory of the Pacific Ocean with complex circulation system, extension of the ’Ring of Fire’, a seismically active belt of the earthquakes and volcanic, make the trenches of the Pacific Ocean highly sensitive to the factors affecting their formation which cause variations in their geomorphic shape forms. In this context, the most representative indicators of the variations in the deep-sea trenches are geological and tectonic factors, such as dynamics of lithosphere crust affecting speed and intensity of plates subduction, magnitude and frequency of the submarine volcanoes causing active sedimentation. Nowadays, studying marine geological phenomena and complex processes by programming and scripting has been a powerful method. Rapid development of the advanced methods of data analysis presented such effective tools as GMT, Octave/MATLAB, R and Python. It is particularly efficient when applied to the massive amounts of marine geological data. Big data processing by advanced scripting is a crucial approach, as algorithms of libraries give access to the accurate and rapid data analysis [373]. Specific information about distant and hard-to-reach deep-sea trenches can be gained for precise visual- ization and analysis of their submarine geomorphology from local to regional and global scales. However, despite all the efforts, there is a lack of uniformity in studying deep-sea trenches, a shortage of systematic mapping of the Pacific trenches and a lack of understanding of the geomorphological variation between the trench profiles in different parts of the ocean: southern and northern, eastern and western, and their response to the geological and tectonic local settings in the places of formation. Therefore, this dissertation develops a systematic approach to monitoring and comparative analysis of the geomorphological shape forms of the deep-sea trenches formed under specific geological and tectonic conditions along the margins of the Pacific Ocean. The study area encompasses Pacific Ocean, and more specifically, includes 20 selected target trenches: Aleutian, Mariana, Philippine, Kuril-Kamchatka, Middle America, Peru-Chile, Palau, Japan, Kermadec, Tonga, Izu-Bonin, New Britain, San Cristobal, Manila, Yap, New Hebrides, Puysegur, Hikurangi, Vityaz and Ryukyu. These are the major trenches of the Pacific Ocean and, therefore, the most representative for the geomorphological modelling. This dissertation identifies tectonic plates formation, slab subduction, historical geological development, earthquakes and submarine volcanoes as the primary types of impact factors affecting trenches formation. Secondary factors include ocean currents, sedimentation and biota contributing to the sedimentation. Seafloor geomorphology in hadal trenches is strongly affected by a variety of factors that necessarily affect the shape of their landforms. Using data modelling, the shapes of the profiles transecting the trenches in an orthogonal direction were compared and analyzed in order to highlight the differences and variations in their geomorphology. The objective of this PhD study is to perform a geomorphological classification of the shape forms of the trenches through ordering them into groups base don the common characteristics of the trenches’ landforms in plan and attaching labels to these groups. Following geomorphological profile shape types have been identifies and trenches are classified into seven types: U-formed (in plan), V-formed (in plan), asymmetric, crescent-formed, sinuous-formed, elongated, cascade-formed. For each type (U, V, asymmetric and so on) characteristic steepness sub-types are identified: strong, very strong, extreme, steep, very steep. Valley slopes are classified as follows: very high, high, moderate, low, based on the curvature degree. Size and valley slope classes are analyzed in the context of physical environment and tectonic and geological development of the area of trench formation.Technical aim of this PhD study was to experiment with and extend current methods of geospatial modelling for geomorphological classification of the submarine landforms of the trenches. Using methods of the advanced data analysis is crucial for the precise and reliable data processing, since understanding seafloor landforms can only be based on the computer-based data modelling due to their unreachable location. The selection of the methodology, tools and algorithms is explained by research objectives and goals. The specifics of the marine geology consists in the high requirements towards data processing. Datasets were processed, computed and analyzed in semi-automatic regime by Machine Learning (ML) approaches, using advanced algorithms of data analysis and effective visualization through application of the advanced programming tools and Generic Mapping Tools (GMT) scripting toolsets.This dissertation presents an automated workflow enabling large-scale profile cross-sectioning aimed at transect geomorphological mapping, quantitative comparative analysis and classification of the 20 trenches of the Pacific Ocean. The methodology of the GMT includes algorithms of sequential scripting for the cartographic visualization and mapping, automatic digitizing of the cross-section transect profiles, and geomorphic modelling of the trenches. In total 50 modules of GMT scripting toolset were trained on extensive datasets collected from 20 trenches across the whole region of the Pacific Ocean. Using high-resolution bathymetric datasets (General Bathymetric Chart of the Oceans (GEBCO), ETOPO1 and Shuttle Radar Topographic Mission (SRTM)), sample transects of the trenches were modeled, analyzed and compared. Variations in shape forms, steepness and curvature were analyzed by computed models for each trench. The tables were converted from QGIS plugins to Python libraries and R packages, and from GMT to Octave via AWK languages. The results revealed variation in the shape and steepness of the submarine geomorphology in 20 trenches of the Pacific Ocean. A strong correlation between the geomorphic profile shapes with geological factors and level of tectonic activities (earthquakes, volcanism, speed of tectonic plate subduction) and the scale of trench steepness, curvature and shape unevenness is confirmed and analyzed. Geomorphological structure of the trenches and dynamics of the tectonic plates subduction are analyzed and assessed at each trench regionally (north, south, west and east Pacific). The novelty of the study consists in presented systematic classification and comparative modelling of the geomorphic profiles of the deep-sea trenches by means of the sequential usage of the advanced scripting toolsets. Technical innovativeness consists in a combination of GIS, GMT, Python, AWK, R.The actuality of this dissertation lies in its strongly multi-disciplinary nature demonstrating a com- bination of the following approaches: 1) systematic multi-source geospatial data analysis; 2) statistical data modelling and processing by libraries of the Python and R, AWK and Octave/Matlab; 3) geological literature analysis; 4) cartographic mapping and modelling by GMT shell scripts and visualization in QGIS. Technical scripts used for advanced statistical analysis are presented in full in the Appendix A for future replication and reproducible analysis in other trenches of the World Ocean.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Generic Mapping Tools (GMT) methods of mapping for machine learning methods used for processing of big Earth data; The report presents an overview of the classification of morphological structures of the trenches of the Pacific Ocean, performed using advanced methods of data analysis, machine learning, modeling and mapping based on GMT. The study, aimed at analyzing the variability of morphological structure in the 20 deep-sea trenches of the Pacific Ocean, is an interdisciplinary approach that combines cartographic modeling and statistical data analysis.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2021License: CC BYFull-Text: https://hal.science/hal-03246580/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2f5fc21db5114badcd4c347265edf6bb&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2021License: CC BYFull-Text: https://hal.science/hal-03246580/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2f5fc21db5114badcd4c347265edf6bb&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de la Drôme à Livron-sur-Drôme pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de le Gardon à Remoulins pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de l'Arve à Genève pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France EnglishPublisher:HAL CCSD Authors: Sperandio, Céline; Rodriguez, Jean; Quintard, Adrien;Sperandio, Céline; Rodriguez, Jean; Quintard, Adrien;In order to improve epoxides conversion to carbonates by fixation of CO2 a new type of perfluorinated triol catalysts was developed. These simple acyclic scaffolds of enhanced acidity are efficient for catalysis through selective H-bonding activation of the epoxide. In combination with TBAI as co-catalyst, this useful transformation is performed under only 1 atmosphere of CO2 and between 30 to 80 °C. Both the 1,3,5-triol motif and the perfluorinated side chains are crucial in order to observe this epoxide opening under such mild conditions. In addition, the stereochemistry of the starting epoxide can efficiently be conserved during the carbonate formation.
Hal-Diderot arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2020All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::7bffdfd17c862d20ca99ad7c8905065e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hal-Diderot arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2020All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::7bffdfd17c862d20ca99ad7c8905065e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France EnglishPublisher:HAL CCSD Authors: Plutniak, Sébastien;Plutniak, Sébastien;Geological map of southern Sepik area (Papua New Guinea), locating the archaeological site of Paimbumkaja and the main watercourses. Map generated using QGIS. Projection: EPSG 4326.Sources:Geological map: Dow, D. B. and Smit, J. A. J. and Bain, J. H. C. and Ryburn, R. J. 1972. The Geology of the South Sepik Region, New Guinea, Canberra: Australian Government publishing Service, ISBN 0-642-00082-4.Colorchart: Commission for the Geological Map of the World.Rivers: U.N. Office for the Coordination of Humanitarian Affairs. Regional Office for Asia and the Pacific (edited).
Mémoires en Sciences... arrow_drop_down Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotOther ORP type . 2020License: CC BYAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::a0f9796d8b3aede1dd877f17924fef0a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotOther ORP type . 2020License: CC BYAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::a0f9796d8b3aede1dd877f17924fef0a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2019 France FrenchPublisher:HAL CCSD Authors: Schmitz, Hermann; Galland-Szymkowiak, Mildred;Schmitz, Hermann; Galland-Szymkowiak, Mildred;Cette traduction est également disponible en libre accès en ligne sur le site de la revue : https://journals.openedition.org/cps/3354; traduction; In this article (first published in 2011), Hermann Schmitz investigates the elements that make up the atmosphere of a city. He finds them in the interaction between the buildings and the sensitive and affective life of the inhabitants. In order to elucidate the constitution of urban atmospheres, he makes use of several major concepts of the philosophy that he has been working out since the 1960’s under the name of “New Phenomenology”: dynamics of the felt and feeling body (Leib), movement suggestions, synaesthetic characters.; Dans cet article ici en traduction inédite, dont la première version allemande date de 2011, Hermann Schmitz s’interroge sur les éléments qui, se déployant dans l’interaction entre les édifices et la vie sensible et affective des habitants, constituent l’atmosphère d’une ville. Dans cette perspective, il met à contribution plusieurs grands concepts de sa philosophie (la « Nouvelle Phénoménologie » développée dès les années 1960), destinée à élucider l’expérience vécue involontaire : dynamique du corps de chair (Leib), suggestions de mouvements, caractères synesthésiques.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture 2019 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Doctoral; Current presentation reports Mid-Term progress of the PhD research. Research Goals: Investigating the geology and submarine geomorphology of the Pacific trenches.Technical improving and testing of the advanced algorithms of geodata analysis. Applying innovative methods in cartographic data visualization and mapping. Developing techniques of the automatic digitizing of the cross-section profiles. Sequential data processing & modelling by QGIS, Python, R, GMT, AWK, Octave. Automatization in geological data analysis aims at: precision and reliability of the results, increased speed of the data processing, accuracy and precision of the data modelling, crucial for the big data processing common for geological field marine observations. Geospatial analysis to identify variations and to highlights correlations between the geomorphic shape of the trenches (slope steepness gradient, depth ranges). Research Object: Deep-sea trenches of the Pacific Ocean. Research Focus. Submarine geomorphology of the trenches: comparative analysis of their structure. Seafloor bathymetry of the trenches: modelling spatial variations of their patterns. Impact factors affecting trench formation: highlighting their variability. Research Techniques. Methods: data analysis, processing, visualization, statistical modelling, cartographic mapping, 3D and 2D simulation models, graphical plotting. Tools: Generic Mapping Tools (GMT); QGIS plugins; statistical libraries of the programming languages: Python, R, Matlab/Octave and AWK. Presentation includes viculaized maps, preliminary statistical results and discussions.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::b1071f7058e5dc2d1986854e35829ebd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::b1071f7058e5dc2d1986854e35829ebd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture 2019 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Doctoral; Presentation reports current progress of the PhD research. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc) for Mariana Trench modelling and cartographic mapping. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. Research aim is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench: steepness angle and structure of the sediment compression. Research focus is upon understanding variability of factors responsible for the deep ocean trench formation and comparative analysis of its geomorphic structure. It contributes towards investigations of the geology of the Pacific Ocean and the interplay between geomorphic, geological, tectonic and volcanic factors affecting submarine landform formation.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::95ca5481a8ccc8199cf1f36c069259f2&type=result"></script>'); --> </script>
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apps Other research productkeyboard_double_arrow_right Other ORP type 2021 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Machine learning methods for processing big Earth data; Geomorphological landforms of the oceanic trenches, their formation and variation of the geometric shapes is a question of special importance to the scientific community in marine geology. The actuality of this question has significantly increased since the beginning of the rapid development of the IT tools and methods of the advanced data analysis, yet its understanding remains patchy. Since the majority of the oceanic trenches are located along the margins of the Pacific Ocean, it plays a central role for their analysis and understanding their formation oceanic trenches. Specific geological conditions, presence of the tectonic subduction zones, vast territory of the Pacific Ocean with complex circulation system, extension of the ’Ring of Fire’, a seismically active belt of the earthquakes and volcanic, make the trenches of the Pacific Ocean highly sensitive to the factors affecting their formation which cause variations in their geomorphic shape forms. In this context, the most representative indicators of the variations in the deep-sea trenches are geological and tectonic factors, such as dynamics of lithosphere crust affecting speed and intensity of plates subduction, magnitude and frequency of the submarine volcanoes causing active sedimentation. Nowadays, studying marine geological phenomena and complex processes by programming and scripting has been a powerful method. Rapid development of the advanced methods of data analysis presented such effective tools as GMT, Octave/MATLAB, R and Python. It is particularly efficient when applied to the massive amounts of marine geological data. Big data processing by advanced scripting is a crucial approach, as algorithms of libraries give access to the accurate and rapid data analysis [373]. Specific information about distant and hard-to-reach deep-sea trenches can be gained for precise visual- ization and analysis of their submarine geomorphology from local to regional and global scales. However, despite all the efforts, there is a lack of uniformity in studying deep-sea trenches, a shortage of systematic mapping of the Pacific trenches and a lack of understanding of the geomorphological variation between the trench profiles in different parts of the ocean: southern and northern, eastern and western, and their response to the geological and tectonic local settings in the places of formation. Therefore, this dissertation develops a systematic approach to monitoring and comparative analysis of the geomorphological shape forms of the deep-sea trenches formed under specific geological and tectonic conditions along the margins of the Pacific Ocean. The study area encompasses Pacific Ocean, and more specifically, includes 20 selected target trenches: Aleutian, Mariana, Philippine, Kuril-Kamchatka, Middle America, Peru-Chile, Palau, Japan, Kermadec, Tonga, Izu-Bonin, New Britain, San Cristobal, Manila, Yap, New Hebrides, Puysegur, Hikurangi, Vityaz and Ryukyu. These are the major trenches of the Pacific Ocean and, therefore, the most representative for the geomorphological modelling. This dissertation identifies tectonic plates formation, slab subduction, historical geological development, earthquakes and submarine volcanoes as the primary types of impact factors affecting trenches formation. Secondary factors include ocean currents, sedimentation and biota contributing to the sedimentation. Seafloor geomorphology in hadal trenches is strongly affected by a variety of factors that necessarily affect the shape of their landforms. Using data modelling, the shapes of the profiles transecting the trenches in an orthogonal direction were compared and analyzed in order to highlight the differences and variations in their geomorphology. The objective of this PhD study is to perform a geomorphological classification of the shape forms of the trenches through ordering them into groups base don the common characteristics of the trenches’ landforms in plan and attaching labels to these groups. Following geomorphological profile shape types have been identifies and trenches are classified into seven types: U-formed (in plan), V-formed (in plan), asymmetric, crescent-formed, sinuous-formed, elongated, cascade-formed. For each type (U, V, asymmetric and so on) characteristic steepness sub-types are identified: strong, very strong, extreme, steep, very steep. Valley slopes are classified as follows: very high, high, moderate, low, based on the curvature degree. Size and valley slope classes are analyzed in the context of physical environment and tectonic and geological development of the area of trench formation.Technical aim of this PhD study was to experiment with and extend current methods of geospatial modelling for geomorphological classification of the submarine landforms of the trenches. Using methods of the advanced data analysis is crucial for the precise and reliable data processing, since understanding seafloor landforms can only be based on the computer-based data modelling due to their unreachable location. The selection of the methodology, tools and algorithms is explained by research objectives and goals. The specifics of the marine geology consists in the high requirements towards data processing. Datasets were processed, computed and analyzed in semi-automatic regime by Machine Learning (ML) approaches, using advanced algorithms of data analysis and effective visualization through application of the advanced programming tools and Generic Mapping Tools (GMT) scripting toolsets.This dissertation presents an automated workflow enabling large-scale profile cross-sectioning aimed at transect geomorphological mapping, quantitative comparative analysis and classification of the 20 trenches of the Pacific Ocean. The methodology of the GMT includes algorithms of sequential scripting for the cartographic visualization and mapping, automatic digitizing of the cross-section transect profiles, and geomorphic modelling of the trenches. In total 50 modules of GMT scripting toolset were trained on extensive datasets collected from 20 trenches across the whole region of the Pacific Ocean. Using high-resolution bathymetric datasets (General Bathymetric Chart of the Oceans (GEBCO), ETOPO1 and Shuttle Radar Topographic Mission (SRTM)), sample transects of the trenches were modeled, analyzed and compared. Variations in shape forms, steepness and curvature were analyzed by computed models for each trench. The tables were converted from QGIS plugins to Python libraries and R packages, and from GMT to Octave via AWK languages. The results revealed variation in the shape and steepness of the submarine geomorphology in 20 trenches of the Pacific Ocean. A strong correlation between the geomorphic profile shapes with geological factors and level of tectonic activities (earthquakes, volcanism, speed of tectonic plate subduction) and the scale of trench steepness, curvature and shape unevenness is confirmed and analyzed. Geomorphological structure of the trenches and dynamics of the tectonic plates subduction are analyzed and assessed at each trench regionally (north, south, west and east Pacific). The novelty of the study consists in presented systematic classification and comparative modelling of the geomorphic profiles of the deep-sea trenches by means of the sequential usage of the advanced scripting toolsets. Technical innovativeness consists in a combination of GIS, GMT, Python, AWK, R.The actuality of this dissertation lies in its strongly multi-disciplinary nature demonstrating a com- bination of the following approaches: 1) systematic multi-source geospatial data analysis; 2) statistical data modelling and processing by libraries of the Python and R, AWK and Octave/Matlab; 3) geological literature analysis; 4) cartographic mapping and modelling by GMT shell scripts and visualization in QGIS. Technical scripts used for advanced statistical analysis are presented in full in the Appendix A for future replication and reproducible analysis in other trenches of the World Ocean.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2021License: CC BYFull-Text: https://hal.science/hal-03245754/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::18351c271fb10b9769a868ba5401f260&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Generic Mapping Tools (GMT) methods of mapping for machine learning methods used for processing of big Earth data; The report presents an overview of the classification of morphological structures of the trenches of the Pacific Ocean, performed using advanced methods of data analysis, machine learning, modeling and mapping based on GMT. The study, aimed at analyzing the variability of morphological structure in the 20 deep-sea trenches of the Pacific Ocean, is an interdisciplinary approach that combines cartographic modeling and statistical data analysis.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2021License: CC BYFull-Text: https://hal.science/hal-03246580/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2f5fc21db5114badcd4c347265edf6bb&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2021License: CC BYFull-Text: https://hal.science/hal-03246580/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2f5fc21db5114badcd4c347265edf6bb&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de la Drôme à Livron-sur-Drôme pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de le Gardon à Remoulins pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France FrenchPublisher:HAL CCSD Gruat, Alexandra; Thollet, Fabien; Le Coz, Jérôme; Coquery, Marina; Lepage, Hugo;Fiche technique; Cette fiche décrit les équipements mis en place à la station de l'Arve à Genève pour l'acquisition de données sur les flux de matières en suspension (MES) et de contaminants particulaires. Cette station fait partie du réseau de mesure de l'Observatoire des Sédiments du Rhône (OSR).
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France EnglishPublisher:HAL CCSD Authors: Sperandio, Céline; Rodriguez, Jean; Quintard, Adrien;Sperandio, Céline; Rodriguez, Jean; Quintard, Adrien;In order to improve epoxides conversion to carbonates by fixation of CO2 a new type of perfluorinated triol catalysts was developed. These simple acyclic scaffolds of enhanced acidity are efficient for catalysis through selective H-bonding activation of the epoxide. In combination with TBAI as co-catalyst, this useful transformation is performed under only 1 atmosphere of CO2 and between 30 to 80 °C. Both the 1,3,5-triol motif and the perfluorinated side chains are crucial in order to observe this epoxide opening under such mild conditions. In addition, the stereochemistry of the starting epoxide can efficiently be conserved during the carbonate formation.
Hal-Diderot arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2020All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::7bffdfd17c862d20ca99ad7c8905065e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hal-Diderot arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationOther ORP type . 2020All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::7bffdfd17c862d20ca99ad7c8905065e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 France EnglishPublisher:HAL CCSD Authors: Plutniak, Sébastien;Plutniak, Sébastien;Geological map of southern Sepik area (Papua New Guinea), locating the archaeological site of Paimbumkaja and the main watercourses. Map generated using QGIS. Projection: EPSG 4326.Sources:Geological map: Dow, D. B. and Smit, J. A. J. and Bain, J. H. C. and Ryburn, R. J. 1972. The Geology of the South Sepik Region, New Guinea, Canberra: Australian Government publishing Service, ISBN 0-642-00082-4.Colorchart: Commission for the Geological Map of the World.Rivers: U.N. Office for the Coordination of Humanitarian Affairs. Regional Office for Asia and the Pacific (edited).
Mémoires en Sciences... arrow_drop_down Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotOther ORP type . 2020License: CC BYAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::a0f9796d8b3aede1dd877f17924fef0a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotOther ORP type . 2020License: CC BYAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::a0f9796d8b3aede1dd877f17924fef0a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2019 France FrenchPublisher:HAL CCSD Authors: Schmitz, Hermann; Galland-Szymkowiak, Mildred;Schmitz, Hermann; Galland-Szymkowiak, Mildred;Cette traduction est également disponible en libre accès en ligne sur le site de la revue : https://journals.openedition.org/cps/3354; traduction; In this article (first published in 2011), Hermann Schmitz investigates the elements that make up the atmosphere of a city. He finds them in the interaction between the buildings and the sensitive and affective life of the inhabitants. In order to elucidate the constitution of urban atmospheres, he makes use of several major concepts of the philosophy that he has been working out since the 1960’s under the name of “New Phenomenology”: dynamics of the felt and feeling body (Leib), movement suggestions, synaesthetic characters.; Dans cet article ici en traduction inédite, dont la première version allemande date de 2011, Hermann Schmitz s’interroge sur les éléments qui, se déployant dans l’interaction entre les édifices et la vie sensible et affective des habitants, constituent l’atmosphère d’une ville. Dans cette perspective, il met à contribution plusieurs grands concepts de sa philosophie (la « Nouvelle Phénoménologie » développée dès les années 1960), destinée à élucider l’expérience vécue involontaire : dynamique du corps de chair (Leib), suggestions de mouvements, caractères synesthésiques.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture 2019 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Doctoral; Current presentation reports Mid-Term progress of the PhD research. Research Goals: Investigating the geology and submarine geomorphology of the Pacific trenches.Technical improving and testing of the advanced algorithms of geodata analysis. Applying innovative methods in cartographic data visualization and mapping. Developing techniques of the automatic digitizing of the cross-section profiles. Sequential data processing & modelling by QGIS, Python, R, GMT, AWK, Octave. Automatization in geological data analysis aims at: precision and reliability of the results, increased speed of the data processing, accuracy and precision of the data modelling, crucial for the big data processing common for geological field marine observations. Geospatial analysis to identify variations and to highlights correlations between the geomorphic shape of the trenches (slope steepness gradient, depth ranges). Research Object: Deep-sea trenches of the Pacific Ocean. Research Focus. Submarine geomorphology of the trenches: comparative analysis of their structure. Seafloor bathymetry of the trenches: modelling spatial variations of their patterns. Impact factors affecting trench formation: highlighting their variability. Research Techniques. Methods: data analysis, processing, visualization, statistical modelling, cartographic mapping, 3D and 2D simulation models, graphical plotting. Tools: Generic Mapping Tools (GMT); QGIS plugins; statistical libraries of the programming languages: Python, R, Matlab/Octave and AWK. Presentation includes viculaized maps, preliminary statistical results and discussions.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::b1071f7058e5dc2d1986854e35829ebd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::b1071f7058e5dc2d1986854e35829ebd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture 2019 France EnglishPublisher:HAL CCSD Authors: Lemenkova, Polina;Lemenkova, Polina;Doctoral; Presentation reports current progress of the PhD research. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc) for Mariana Trench modelling and cartographic mapping. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. Research aim is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench: steepness angle and structure of the sediment compression. Research focus is upon understanding variability of factors responsible for the deep ocean trench formation and comparative analysis of its geomorphic structure. It contributes towards investigations of the geology of the Pacific Ocean and the interplay between geomorphic, geological, tectonic and volcanic factors affecting submarine landform formation.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::95ca5481a8ccc8199cf1f36c069259f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotLecture . 2019License: CC BY NCAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2592::95ca5481a8ccc8199cf1f36c069259f2&type=result"></script>'); --> </script>
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