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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: El yazidi, Mayssa;

    Master Thesis

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Other literature type . 2026
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Thesis . 2026
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other literature type . 2026
      License: CC BY
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      ZENODO
      Thesis . 2026
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alexander de Meij; Cornelis Cuvelier; Philippe Thunis; Enrico Pisoni; +1 Authors

    Despite the application of an increasingly strict EU air quality legislation, air quality remains problematic in large parts of Europe. To support the abatement of these remaining problems, a better understanding of the potential impacts of emission abatement measures on air quality is required, and air chemistry transport models (CTMs) are the main instrument to perform emission reduction scenarios. In this study, we study the robustness of the model responses to emission reductions when emission input is changed. We investigate how inconsistencies in emissions impact the modelling responses in the case of emission reduction scenarios. Based on EMEP simulations over Europe fed by four emission inventories – EDGAR 5.0, EMEP-GNFR, CAMS 2.2.1 and CAMS version 4.2 (including condensables) – we reduce anthropogenic emissions in six cities (Brussels, Madrid, Rome, Bucharest, Berlin and Stockholm) and two regions (Po Valley in Italy and Malopolska in Poland) and study the variability in the concentration reductions obtained with these four emission inventories. Our study reveals that the impact of reducing aerosol precursors on PM10 concentrations result in different potentials and potencies, differences that are mainly explained by differences in emission quantities, differences in their spatial distributions as well as in their sector allocation. In general, the variability among models is larger for concentration changes (potentials) than for absolute concentrations. Similar total precursor emissions can, however, hide large variations in sectorial allocation that can lead to large impacts on potency given their different vertical distribution. Primary particulate matter (PPM) appears to be the precursor leading to the major differences in terms of potentials. From an emission inventory viewpoint, this work indicates that the most efficient actions to improve the robustness of the modelling responses to emission changes would be to better assess the sectorial share and total quantities of PPM emissions. From a modelling point of view, NOx responses are the more challenging and require caution because of their non-linearity. For O3, we find that the relationship between emission reduction and O3 concentration change shows the largest non-linearity for NOx (concentration increase) and a quasi-linear behaviour for volatile organic compounds (concentration decrease). We also emphasise the importance of accurate ratios of emitted precursors since these lead to changes in chemical regimes, directly affecting the responses of O3 or PM10 concentrations to emission reductions.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Geoscientific Model ...arrow_drop_down
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    ZENODO
    Article . 2023
    License: CC BY
    Data sources: ZENODO
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    Geoscientific Model Development
    Article . 2024 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
    DOAJ
    Article . 2024
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    ZENODO
    Article . 2023
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Geoscientific Model ...arrow_drop_down
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      ZENODO
      Article . 2023
      License: CC BY
      Data sources: ZENODO
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      Geoscientific Model Development
      Article . 2024 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
      DOAJ
      Article . 2024
      Data sources: DOAJ
      ZENODO
      Article . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Hohmann, Niklas;

    Presentation "Bringing Realistic Stratigraphy into Evolutionary Biology through Age-Depth Modeling" held at the "Stratigraphy in Modern Geoscience: methodologies, applications and future relevance" meeting London, 23rd of January 2024) organized by The Geological Society. Abstract text: The stratigraphic record allows observation of fossil evolution over longer time scales than are accessible to direct human observation. However, direct dating of fossils in deep time is impossible, making it necessary to estimate their age from indirect methods. The age inference is complicated by stratigraphic effects such as changing sedimentation rates and hiatuses. Age-depth models assign chronological ages to stratigraphic positions, thus establishing a temporal framework for the fossils they contain, but are themselves dependent on stratigraphic architectures. A robust understanding of these architectures is fundamental for establishing realistic, accurate age-depth models, and reconstructing evolutionary change from the fossil record. We present a novel mathematical framework for age-depth modeling implemented in the R software. It includes two non-parametric methods to estimate age-depth models from complex stratigraphic data and to quantify the associated geochronological uncertainties. In contrast to other age-depth modeling frameworks, it allows to directly transform complex data structures and mathematical objects such as phylogenetic trees and time series from the time domain to the stratigraphic domain and vice versa. As examples of the developed framework, we 1. construct age-depth models for Devonian strata in the La Thure section, Belgium, using sedimentation rates constrained by cyclostratigraphic methods. 2. use measurements of extraterrestrial 3He from ODP site 960 (Maud Rise, Weddell Sea) to construct age-depth models for the Paleocene–Eocene thermal maximum. 3. examine the preservation of phylogenetic relationships along the onshore-offshore gradient in a carbonate platform simulated in the CarboKitten model. The presented framework simplifies the interface between stratigraphy and other domains of science, making it easier for communities outside of sedimentology to understand and use stratigraphic information in inter-disciplinary approaches. It demonstrates that a modern, model-driven understanding of stratigraphy is highly relevant to all disciplines drawing information from geohistorical records.

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    ZENODO
    Other literature type . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Presentation . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Other literature type . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Presentation . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    NASA Data for Your Air Quality Applications Made Easier 104th American Meteorological Society Annual Meeting 15th Conference on Environment and Health Problems evident throughout Earth’s systems, especially those related to air quality, require radical and rapid innovation. NASA facilitates innovation by prioritizing access to free and open data essential for monitoring and mapping complex systems and their dynamics. However, accessing and using this data can be complicated, demanding expert knowledge of the datasets and related tools. In July 2023, ESDS revised the Air Quality Data Pathfinder, one of the 15 in the series, designed to facilitate access and use of data for various transdisciplinary Earth System Science applications. Data Pathfinders provide resources and tools for a variety of user communities around common Earth systems themes, with the goal of reducing barriers to NASA data so that users can engage in exploration, analysis, and application. The updated Air Quality Data Pathfinder addresses specific concerns shared by the Air Quality user community over the past year, as articulated in the UNBOUND for Air Quality Report released in May 2023 by Earth Science Information Partners (ESIP). Data users reflected on difficulties accessing and using NASA data due to a lack of technical knowledge and skills, encountering limitations in data discovery due to perceived requirements, as well as misunderstanding metadata. The 2023 Air Quality Data Pathfinder attempts to address several pain points expressed by these users with the following updates: Data organized by resolution for easy identification Resources grouped by parameter Data tools organized by purpose Specific resources featured for GIS users, programmers, etc. The Air Quality Data Pathfinder demystifies NASA data for research and applications. This resource supports users with various interests, including monitoring the movement of wildfire smoke and dust plumes, identifying concentrations of trace gases in your region, as well as understanding how these pollutant concentrations change over time, among others. From beginners to experienced data users, this pathfinder offers data access, visualization, subsetting, and more resources in one place, allowing users more time for scientific pursuits.

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    ZENODO
    Other literature type . 2024
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Other literature type . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Conference object . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Other literature type . 2024
      License: CC BY
      Data sources: ZENODO
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      ZENODO
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      ZENODO
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    Authors: Sagarminaga, Yolanda; Borja, Angel; Fontán, Almudena;
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Remote Sensing of En...arrow_drop_down
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    Remote Sensing of Environment; ZENODO
    Other literature type . Article . 2024 . 2023 . Peer-reviewed
    License: Elsevier TDM
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      Remote Sensing of Environment; ZENODO
      Other literature type . Article . 2024 . 2023 . Peer-reviewed
      License: Elsevier TDM
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    Authors: Khatri-Chhetri, Pratima; Wagtendonk, Liz van; Hendryx, Sean M; Kane, Van R;

    The repository contains data for Khatri-Chhetri et al. (2023), Remote Sensing of Environment

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    ZENODO
    Other literature type . 2023
    License: CC BY NC
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    Remote Sensing of Environment
    Article . 2024 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
    ZENODO
    Other literature type . 2023
    License: CC BY NC
    Data sources: Datacite
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      ZENODO
      Other literature type . 2023
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      Data sources: ZENODO
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      Remote Sensing of Environment
      Article . 2024 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      ZENODO
      Other literature type . 2023
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    Authors: Pilar Sánchez-Pastor; Sin-Mei Wu; Ketil Hokstad; Bjarni Kristjánsson; +6 Authors

    Harvesting geothermal energy often leads to a pressure drop in reservoirs, decreasing their profitability and promoting the formation of steam caps. While steam caps are valuable energy resources, they also alter the reservoir thermodynamics. Accurately measuring the steam fraction in reservoirs is essential for both operational and economic perspectives. However, steam content estimations are very limited both in space and time since current methods rely on direct measurements within production wells. Besides, these estimations normally present large uncertainties. Here, we present a pioneering method for indirectly sampling the steam content in the subsurface using the ever-present seismic background noise. We observe a consistent annual velocity drop in the Hengill geothermal field (Iceland) and establish a correlation between the velocity drop and steam buildup using in-situ borehole data. This application opens new avenues to track the evolution of any gas reservoir in the crust with a surface-based and cost-effective method. Communications Earth & Environment, 4 (1) ISSN:2662-4435

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    Authors: Duran Mantilla, Juan Mateo; Obando Nunez, Daniel Ricardo; Vogt, Ulrich;

    Abstract Rail transport is generally considered eco-friendly compared to other transport methods. However, it still contributes to environmental impacts, particularly in relation to air quality. Transport emissions can be classified into two categories: exhaust emissions from engine combustion processes and non-exhaust emissions, including brake wear, wheel-rail abrasion, as well as particle resuspension. While environmental regulations have been well-established for exhaust emissions, non-exhaust emissions remain relatively less explored. This research project focuses on measuring and analyzing non-exhaust particle emissions generated during train braking cycles, with a special interest on ultrafine particles and black carbon, due to their potential health implications. To accomplish these research goals, this project encompasses a literature review of non-exhaust-related emissions in train systems, a comprehensive data analysis from the brake test bench utilizing various measuring devices and under multiple measuring programs following the DIN EN 16452:2019. Different operating conditions were evaluated such as the train mass, initial velocity, and contact force between the wheels and braking pads to determine the most critical operating condition for the emission of particles, ultrafine particles and black carbon

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    Authors: Lambert, Olivier; Collareta, Alberto; Benites-Palomino, Aldo; Merella, Marco; +4 Authors

    Lambert, Olivier, Collareta, Alberto, Benites-Palomino, Aldo, Merella, Marco, Muizon, Christian de, Bennion, Rebecca, Urbina, Mario, Bianucci, Giovanni (2023): A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna. Geodiversitas 45 (22): 659-679, DOI: 10.5252/geodiversitas2023v45a22, URL: https://sciencepress.mnhn.fr/sites/default/files/articles/pdf/g2023v45a22.pdf

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    SHARE Complete the Poll Slides in Mentimeter - Go to www.menti.com, Enter the code: 8677 9810 EXPLORE Air Quality Data Pathfinder FINDABLE Earthdata Search Use NASA Earthdata Search to discover and access Earth observation data collections from NASA EOSDIS and other U.S and international entities. Multiple search and filtering options are available! To learn how to use Earthdata Search Giovanni NASA Worldview Tutorial: Getting Started with NASA Worldview Worldview 4-pager, an official "How-To" from Worldview Science Discovery Engine Common Metadata Repository ACCESSIBLE NASA Worldview Tutorial: Getting Started with NASA Worldview Worldview 4-pager, an official "How-To" from Worldview User Registration System (aka Earthdata Login) Earthdata Log-in Earthdata Login Tips Earthdata Forum Tutorials NASA Earthdata Forum Quick Video Guide: Menu Features NASA Earthdata Forum Quick Video Guide: How to Post a New Question NASA Earthdata Forum Quick Video Guide: Faceted Search NASA Earthdata Forum Quick Video Guide: Favorite Tags Webinar: NASA's Earthdata Forum Connect to a Growing Body Data in the Cloud NASA Earthdata Cloud Cookbook GIS GIS Data Pathfinder: https://www.earthdata.nasa.gov/learn/pathfinders/gis-pathfinder GIS How Tos: https://www.earthdata.nasa.gov/learn/gis/gis-how-tos Earthdata GIS Playlist on Earthdata YouTube Enterprise Earthdata GIS (NEW!): https://gis.earthdata.nasa.gov/portal/home/ Global Imagery Browse Services (GIBS) Webinars and Tutorials Data discovery and data access webinars and video tutorials available online. View Recipes and Tutorials This Getting Started Guide will help you learn about NASA Earth science data and show you how to find tools and resources for accessing the data you need. CONNECT Elizabeth Joyner, Elizabeth.r.joyner@nasa.gov, LinkedIn Profile To sign-up to receive announcements for upcoming webinars: Send an email to: earthdatawebinars-join@lists.nasa.gov leave the subject and body of the email blank. Get NASA Earth science data news in your inbox: Sign up for the ESDS Monthly Newsletter NASA Earthdata X: @NASAEarthdata , NASA Earthdata Facebook: www.facebook.com/NASAEarthdata ENGAGE AGU Pre-Conference Workshop: SCIWS12 Getting Started with NASA Earth Science Data: From Beginner to Expert SUNDAY, DECEMBER 10, 2023 8:00 AM PT - 3:00 PM PT $175.00/each (A separate registration will be required.) Pre-Enroll in Open Science 101 NASA's OS101 is a 5-module curriculum designed to equip researchers, students and citizen scientists with the knowledge and skills to navigate the principles and practices of open science, including developing an open science and data management plan. Sign up to be notified of the curriculum launch, coming late 2023! Information about University of Colorado Boulder: Earth Lab's Environmental Data Science Weekly Seminar This is a *regular weekly* 50-min seminar series on topics related to Environmental Data Science (EDS) that *use big data to advance knowledge of the dynamics and interactions of the Earth systems, towards actionable insights and tools*. Feel free to attend either in-person (SEEC S372) or via zoom (see info below). The weekly schedule can be viewed here: https://tinyurl.com/Earth-Lab-EDS-schedule Join the seminar mailing list for email reminders about upcoming seminar topics using the instructions listed at the bottom of the seminar webpage: https://earthlab.colorado.edu/seminar. See Earth Lab's website (https://earthlab.colorado.edu/seminar) for more details.

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    Authors: El yazidi, Mayssa;

    Master Thesis

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    Authors: Alexander de Meij; Cornelis Cuvelier; Philippe Thunis; Enrico Pisoni; +1 Authors

    Despite the application of an increasingly strict EU air quality legislation, air quality remains problematic in large parts of Europe. To support the abatement of these remaining problems, a better understanding of the potential impacts of emission abatement measures on air quality is required, and air chemistry transport models (CTMs) are the main instrument to perform emission reduction scenarios. In this study, we study the robustness of the model responses to emission reductions when emission input is changed. We investigate how inconsistencies in emissions impact the modelling responses in the case of emission reduction scenarios. Based on EMEP simulations over Europe fed by four emission inventories – EDGAR 5.0, EMEP-GNFR, CAMS 2.2.1 and CAMS version 4.2 (including condensables) – we reduce anthropogenic emissions in six cities (Brussels, Madrid, Rome, Bucharest, Berlin and Stockholm) and two regions (Po Valley in Italy and Malopolska in Poland) and study the variability in the concentration reductions obtained with these four emission inventories. Our study reveals that the impact of reducing aerosol precursors on PM10 concentrations result in different potentials and potencies, differences that are mainly explained by differences in emission quantities, differences in their spatial distributions as well as in their sector allocation. In general, the variability among models is larger for concentration changes (potentials) than for absolute concentrations. Similar total precursor emissions can, however, hide large variations in sectorial allocation that can lead to large impacts on potency given their different vertical distribution. Primary particulate matter (PPM) appears to be the precursor leading to the major differences in terms of potentials. From an emission inventory viewpoint, this work indicates that the most efficient actions to improve the robustness of the modelling responses to emission changes would be to better assess the sectorial share and total quantities of PPM emissions. From a modelling point of view, NOx responses are the more challenging and require caution because of their non-linearity. For O3, we find that the relationship between emission reduction and O3 concentration change shows the largest non-linearity for NOx (concentration increase) and a quasi-linear behaviour for volatile organic compounds (concentration decrease). We also emphasise the importance of accurate ratios of emitted precursors since these lead to changes in chemical regimes, directly affecting the responses of O3 or PM10 concentrations to emission reductions.

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    Geoscientific Model Development
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      Geoscientific Model Development
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    Authors: Hohmann, Niklas;

    Presentation "Bringing Realistic Stratigraphy into Evolutionary Biology through Age-Depth Modeling" held at the "Stratigraphy in Modern Geoscience: methodologies, applications and future relevance" meeting London, 23rd of January 2024) organized by The Geological Society. Abstract text: The stratigraphic record allows observation of fossil evolution over longer time scales than are accessible to direct human observation. However, direct dating of fossils in deep time is impossible, making it necessary to estimate their age from indirect methods. The age inference is complicated by stratigraphic effects such as changing sedimentation rates and hiatuses. Age-depth models assign chronological ages to stratigraphic positions, thus establishing a temporal framework for the fossils they contain, but are themselves dependent on stratigraphic architectures. A robust understanding of these architectures is fundamental for establishing realistic, accurate age-depth models, and reconstructing evolutionary change from the fossil record. We present a novel mathematical framework for age-depth modeling implemented in the R software. It includes two non-parametric methods to estimate age-depth models from complex stratigraphic data and to quantify the associated geochronological uncertainties. In contrast to other age-depth modeling frameworks, it allows to directly transform complex data structures and mathematical objects such as phylogenetic trees and time series from the time domain to the stratigraphic domain and vice versa. As examples of the developed framework, we 1. construct age-depth models for Devonian strata in the La Thure section, Belgium, using sedimentation rates constrained by cyclostratigraphic methods. 2. use measurements of extraterrestrial 3He from ODP site 960 (Maud Rise, Weddell Sea) to construct age-depth models for the Paleocene–Eocene thermal maximum. 3. examine the preservation of phylogenetic relationships along the onshore-offshore gradient in a carbonate platform simulated in the CarboKitten model. The presented framework simplifies the interface between stratigraphy and other domains of science, making it easier for communities outside of sedimentology to understand and use stratigraphic information in inter-disciplinary approaches. It demonstrates that a modern, model-driven understanding of stratigraphy is highly relevant to all disciplines drawing information from geohistorical records.

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    NASA Data for Your Air Quality Applications Made Easier 104th American Meteorological Society Annual Meeting 15th Conference on Environment and Health Problems evident throughout Earth’s systems, especially those related to air quality, require radical and rapid innovation. NASA facilitates innovation by prioritizing access to free and open data essential for monitoring and mapping complex systems and their dynamics. However, accessing and using this data can be complicated, demanding expert knowledge of the datasets and related tools. In July 2023, ESDS revised the Air Quality Data Pathfinder, one of the 15 in the series, designed to facilitate access and use of data for various transdisciplinary Earth System Science applications. Data Pathfinders provide resources and tools for a variety of user communities around common Earth systems themes, with the goal of reducing barriers to NASA data so that users can engage in exploration, analysis, and application. The updated Air Quality Data Pathfinder addresses specific concerns shared by the Air Quality user community over the past year, as articulated in the UNBOUND for Air Quality Report released in May 2023 by Earth Science Information Partners (ESIP). Data users reflected on difficulties accessing and using NASA data due to a lack of technical knowledge and skills, encountering limitations in data discovery due to perceived requirements, as well as misunderstanding metadata. The 2023 Air Quality Data Pathfinder attempts to address several pain points expressed by these users with the following updates: Data organized by resolution for easy identification Resources grouped by parameter Data tools organized by purpose Specific resources featured for GIS users, programmers, etc. The Air Quality Data Pathfinder demystifies NASA data for research and applications. This resource supports users with various interests, including monitoring the movement of wildfire smoke and dust plumes, identifying concentrations of trace gases in your region, as well as understanding how these pollutant concentrations change over time, among others. From beginners to experienced data users, this pathfinder offers data access, visualization, subsetting, and more resources in one place, allowing users more time for scientific pursuits.

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    Authors: Sagarminaga, Yolanda; Borja, Angel; Fontán, Almudena;
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    Remote Sensing of Environment; ZENODO
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      Remote Sensing of Environment; ZENODO
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    Authors: Khatri-Chhetri, Pratima; Wagtendonk, Liz van; Hendryx, Sean M; Kane, Van R;

    The repository contains data for Khatri-Chhetri et al. (2023), Remote Sensing of Environment

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    Remote Sensing of Environment
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      Remote Sensing of Environment
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    Authors: Pilar Sánchez-Pastor; Sin-Mei Wu; Ketil Hokstad; Bjarni Kristjánsson; +6 Authors

    Harvesting geothermal energy often leads to a pressure drop in reservoirs, decreasing their profitability and promoting the formation of steam caps. While steam caps are valuable energy resources, they also alter the reservoir thermodynamics. Accurately measuring the steam fraction in reservoirs is essential for both operational and economic perspectives. However, steam content estimations are very limited both in space and time since current methods rely on direct measurements within production wells. Besides, these estimations normally present large uncertainties. Here, we present a pioneering method for indirectly sampling the steam content in the subsurface using the ever-present seismic background noise. We observe a consistent annual velocity drop in the Hengill geothermal field (Iceland) and establish a correlation between the velocity drop and steam buildup using in-situ borehole data. This application opens new avenues to track the evolution of any gas reservoir in the crust with a surface-based and cost-effective method. Communications Earth & Environment, 4 (1) ISSN:2662-4435

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    Authors: Duran Mantilla, Juan Mateo; Obando Nunez, Daniel Ricardo; Vogt, Ulrich;

    Abstract Rail transport is generally considered eco-friendly compared to other transport methods. However, it still contributes to environmental impacts, particularly in relation to air quality. Transport emissions can be classified into two categories: exhaust emissions from engine combustion processes and non-exhaust emissions, including brake wear, wheel-rail abrasion, as well as particle resuspension. While environmental regulations have been well-established for exhaust emissions, non-exhaust emissions remain relatively less explored. This research project focuses on measuring and analyzing non-exhaust particle emissions generated during train braking cycles, with a special interest on ultrafine particles and black carbon, due to their potential health implications. To accomplish these research goals, this project encompasses a literature review of non-exhaust-related emissions in train systems, a comprehensive data analysis from the brake test bench utilizing various measuring devices and under multiple measuring programs following the DIN EN 16452:2019. Different operating conditions were evaluated such as the train mass, initial velocity, and contact force between the wheels and braking pads to determine the most critical operating condition for the emission of particles, ultrafine particles and black carbon

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    Authors: Lambert, Olivier; Collareta, Alberto; Benites-Palomino, Aldo; Merella, Marco; +4 Authors

    Lambert, Olivier, Collareta, Alberto, Benites-Palomino, Aldo, Merella, Marco, Muizon, Christian de, Bennion, Rebecca, Urbina, Mario, Bianucci, Giovanni (2023): A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna. Geodiversitas 45 (22): 659-679, DOI: 10.5252/geodiversitas2023v45a22, URL: https://sciencepress.mnhn.fr/sites/default/files/articles/pdf/g2023v45a22.pdf

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    SHARE Complete the Poll Slides in Mentimeter - Go to www.menti.com, Enter the code: 8677 9810 EXPLORE Air Quality Data Pathfinder FINDABLE Earthdata Search Use NASA Earthdata Search to discover and access Earth observation data collections from NASA EOSDIS and other U.S and international entities. Multiple search and filtering options are available! To learn how to use Earthdata Search Giovanni NASA Worldview Tutorial: Getting Started with NASA Worldview Worldview 4-pager, an official "How-To" from Worldview Science Discovery Engine Common Metadata Repository ACCESSIBLE NASA Worldview Tutorial: Getting Started with NASA Worldview Worldview 4-pager, an official "How-To" from Worldview User Registration System (aka Earthdata Login) Earthdata Log-in Earthdata Login Tips Earthdata Forum Tutorials NASA Earthdata Forum Quick Video Guide: Menu Features NASA Earthdata Forum Quick Video Guide: How to Post a New Question NASA Earthdata Forum Quick Video Guide: Faceted Search NASA Earthdata Forum Quick Video Guide: Favorite Tags Webinar: NASA's Earthdata Forum Connect to a Growing Body Data in the Cloud NASA Earthdata Cloud Cookbook GIS GIS Data Pathfinder: https://www.earthdata.nasa.gov/learn/pathfinders/gis-pathfinder GIS How Tos: https://www.earthdata.nasa.gov/learn/gis/gis-how-tos Earthdata GIS Playlist on Earthdata YouTube Enterprise Earthdata GIS (NEW!): https://gis.earthdata.nasa.gov/portal/home/ Global Imagery Browse Services (GIBS) Webinars and Tutorials Data discovery and data access webinars and video tutorials available online. View Recipes and Tutorials This Getting Started Guide will help you learn about NASA Earth science data and show you how to find tools and resources for accessing the data you need. CONNECT Elizabeth Joyner, Elizabeth.r.joyner@nasa.gov, LinkedIn Profile To sign-up to receive announcements for upcoming webinars: Send an email to: earthdatawebinars-join@lists.nasa.gov leave the subject and body of the email blank. Get NASA Earth science data news in your inbox: Sign up for the ESDS Monthly Newsletter NASA Earthdata X: @NASAEarthdata , NASA Earthdata Facebook: www.facebook.com/NASAEarthdata ENGAGE AGU Pre-Conference Workshop: SCIWS12 Getting Started with NASA Earth Science Data: From Beginner to Expert SUNDAY, DECEMBER 10, 2023 8:00 AM PT - 3:00 PM PT $175.00/each (A separate registration will be required.) Pre-Enroll in Open Science 101 NASA's OS101 is a 5-module curriculum designed to equip researchers, students and citizen scientists with the knowledge and skills to navigate the principles and practices of open science, including developing an open science and data management plan. Sign up to be notified of the curriculum launch, coming late 2023! Information about University of Colorado Boulder: Earth Lab's Environmental Data Science Weekly Seminar This is a *regular weekly* 50-min seminar series on topics related to Environmental Data Science (EDS) that *use big data to advance knowledge of the dynamics and interactions of the Earth systems, towards actionable insights and tools*. Feel free to attend either in-person (SEEC S372) or via zoom (see info below). The weekly schedule can be viewed here: https://tinyurl.com/Earth-Lab-EDS-schedule Join the seminar mailing list for email reminders about upcoming seminar topics using the instructions listed at the bottom of the seminar webpage: https://earthlab.colorado.edu/seminar. See Earth Lab's website (https://earthlab.colorado.edu/seminar) for more details.

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