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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: Oboh, Eugene;

    The Biofilm grazer model is an agent based model (ABM) built upon the MESA ABM framework ( https://mesa.readthedocs.io/en/stable/ ). The model helps us understand the effects of nutrient, light and grazing on the spatio-temporal development of rivernine biofilm. Instructions from the README.md will help you set up the environment and run the model.

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    ZENODO
    Model . 2024
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    ZENODO
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      ZENODO
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      ZENODO
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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: Buttigieg, Pier Luigi; Christoffersen, Shannon; Ingram, Rebekah; Manley, William; +11 Authors

    In this letter, we introduce The Polar Vocabularies and Semantics Working Group, originally established as a joint effort between the joint SAON/IASC Arctic Data Committee and the Data Management Collaboration Team of the Interagency Arctic Research Policy Committee. We Invite, communities of practice to actively engage with us in our activities (described below), to advance the state of semantics-based applications in polar activities (and to increase interoperability between stakeholders and rights holders within existing and emerging digital ecosystems).

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    ZENODO
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      ZENODO
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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: Lüdecke, Cornelia; Gazert, Volker;
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    Authors: Bradley, Alexander T.; Arthern, Robert J.; Bett, David; Williams, C. Rosie; +1 Authors

    WAVI ice sheet model

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    ZENODO
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    ZENODO
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      ZENODO
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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: Chust, Guillem; Villarino, Ernesto; McLean, Matthew; Mieszkowska, Nova; +34 Authors

    cti_cross_region_taxon This repository provides the data and codes used in the manuscript: Guillem Chust, Ernesto Villarino, Matthew McLean, Nova Mieszkowska, Lisandro Benedetti-Cecchi, Fabio Bulleri, Chiara Ravaglioli, Angel Borja, Iñigo Muxika, José A. Fernandes-Salvador, Leire Ibaibarriaga, Ainhize Uriarte, Marta Revilla, Fernando Villate, Arantza Iriarte, Ibon Uriarte, Soultana Zervoudaki, Jacob Carstensen, Paul J. Somerfield, Ana M. Queirós , Andrea J. McEvoy, Arnaud Auber, Manuel Hidalgo, Marta Coll, Joaquim Garrabou, Daniel Gómez-Gras, Cristina Linares, Francisco Ramírez, Núria Margarit, Mario Lepage, Chloé Dambrine, Jérémy Lobry, Myron A. Peck, Paula de la Barra, Anieke van Leeuwen, Gil Rilov, Erez Yeruham, Anik Brind'Amour, and Martin Lindegren. Cross-basin and cross-taxa patterns of marine community tropicalization and deborealization in warming European seas. Nature Communications Please check the github repo cti_cross_region_taxon for updates. Abstract Ocean warming and acidification, decreases in dissolved oxygen concentrations, and changes in primary production are causing an unprecedented global redistribution of marine life. The identification of underlying ecological processes underpinning marine species turnover, particularly the prevalence of tropicalization over deborealization, has been recently debated in the context of ocean warming. Here, we track changes in the mean thermal affinity of marine communities across European seas by calculating the Community Temperature Index for 65 biodiversity time series collected over four decades and containing 1,817 species from different communities (zooplankton, coastal benthos, pelagic and demersal invertebrates and fish). We show most communities and sites have clearly responded to ongoing ocean warming via abundance increases of warm-water species (tropicalization; 54%) and decreases of cold-water species (deborealization; 18%). Tropicalization dominated Atlantic sites compared to semi-enclosed basins such as the Mediterranean and Baltic Seas, probably due to physical barrier constraints to connectivity and species colonization. Semi-enclosed basins appeared to be particularly vulnerable to ocean warming, experiencing the fastest rates of warming and biodiversity loss through deborealization. Keywords: climate change, community temperature index, CTI, ocean connectivity. Acknowledgements This study has been supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 869300 (FutureMARES project) (G.C., E.V., J.F-S., M.P., M.Lin., C.D., D.G-G., G.R., L.B., C.R., M.C., F.R., G.R., P.B., M.P., M.Lep., J.L., A.B., N.M., J.G., F.B., L.B.C, A.Q., F.V., A.I., and I.U.), and by the Urban Klima 2050 -- LIFE 18 IPC 000001 project, which has been received funding from European Union's LIFE programme (G.C., E.V., L.I., A.B., A.U., and M.R.). Additional financial support was obtained from the Basque Government (PIBA2020-1-0028 & IT1723-22). We thank the NOAA Climate Prediction Center for providing Sea Temperature data through the NCEP Global Ocean Data Assimilation System (GODAS) www.cpc.ncep.noaa.gov/products/GODAS. We also thank Ocean Biodiversity Information System (OBIS) for providing global occurrences of the biological group studied here. Data from the Basque Country were obtained from the Basque Water Agency (URA) monitoring network, through a Convention with AZTI. M.C., J.G., D.G.-G. and F.R. acknowledge the 'Severo Ochoa Centre of Excellence' accreditation (CEX2019-000928-S). Authors M.H. and M.Lin. are grateful for the support from ICES Working Group on Comparative Ecosystem-based Analyses of Atlantic and Mediterranean marine systems (WGCOMEDA) for this research. This paper is contribution nº xxxx from AZTI, Marine Research, Basque Research and Technology Alliance (BRTA)

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    ZENODO
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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: Maoum, Ahmadreza;

    These are the required files and the CLIMBER-X model coupeled with PDAF that was used to obtain the results that are presented in the paper "Paleoclimate Data Assimilation with CLIMBER-X: An ensemble Kalman filter for the Last Deglaciation". This paper will be published in PLOS ONE journal. For the original code of CLIMBER-X, see : (https://doi.org/10.5281/zenodo.6877358, Willeit, 2022) For PDAF source codes, see https://pdaf.awi.de/trac/wiki.

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    Authors: Haas, Christian; Happ, Lena; Landy, Jack; Krumpen, Thomas;
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    Authors: Boike, Julia; Stünzi, Simone Maria; Gottuk, Jannika; Bornemann, Niko; +1 Authors
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    Authors: Steiglechner, Peter;

    Noise and Opinion Dynamics This repository contains model code for our manuscript: Steiglechner, P., Keijzer, M.A., Smaldino, P.e., Moser, D., Merico, A. (in press) ‘Noise and opinion dynamics: How ambiguity promotes pro-majority consensus in the presence of confirmation bias’. Journal of the Royal Society Open Science. Preprint available at: https://doi.org/10.31235/osf.io/u2t7r. The model We investigate here the impact of four different types of noise on the bounded confidence (BC) model of opinion formation. The four types of noise include: Selectivity, Adaptation, Exogenous and Ambiguity Noise.

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    Authors: Danilov, Sergey; Sidorenko, Dnitry; Patrick, Scholz; Koldunov, Nikolay; +4 Authors

    Version of FESOM2 model used for Bastin et al.

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    Authors: Oboh, Eugene;

    The Biofilm grazer model is an agent based model (ABM) built upon the MESA ABM framework ( https://mesa.readthedocs.io/en/stable/ ). The model helps us understand the effects of nutrient, light and grazing on the spatio-temporal development of rivernine biofilm. Instructions from the README.md will help you set up the environment and run the model.

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    Authors: Buttigieg, Pier Luigi; Christoffersen, Shannon; Ingram, Rebekah; Manley, William; +11 Authors

    In this letter, we introduce The Polar Vocabularies and Semantics Working Group, originally established as a joint effort between the joint SAON/IASC Arctic Data Committee and the Data Management Collaboration Team of the Interagency Arctic Research Policy Committee. We Invite, communities of practice to actively engage with us in our activities (described below), to advance the state of semantics-based applications in polar activities (and to increase interoperability between stakeholders and rights holders within existing and emerging digital ecosystems).

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    Authors: Lüdecke, Cornelia; Gazert, Volker;
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    Authors: Bradley, Alexander T.; Arthern, Robert J.; Bett, David; Williams, C. Rosie; +1 Authors

    WAVI ice sheet model

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    Authors: Chust, Guillem; Villarino, Ernesto; McLean, Matthew; Mieszkowska, Nova; +34 Authors

    cti_cross_region_taxon This repository provides the data and codes used in the manuscript: Guillem Chust, Ernesto Villarino, Matthew McLean, Nova Mieszkowska, Lisandro Benedetti-Cecchi, Fabio Bulleri, Chiara Ravaglioli, Angel Borja, Iñigo Muxika, José A. Fernandes-Salvador, Leire Ibaibarriaga, Ainhize Uriarte, Marta Revilla, Fernando Villate, Arantza Iriarte, Ibon Uriarte, Soultana Zervoudaki, Jacob Carstensen, Paul J. Somerfield, Ana M. Queirós , Andrea J. McEvoy, Arnaud Auber, Manuel Hidalgo, Marta Coll, Joaquim Garrabou, Daniel Gómez-Gras, Cristina Linares, Francisco Ramírez, Núria Margarit, Mario Lepage, Chloé Dambrine, Jérémy Lobry, Myron A. Peck, Paula de la Barra, Anieke van Leeuwen, Gil Rilov, Erez Yeruham, Anik Brind'Amour, and Martin Lindegren. Cross-basin and cross-taxa patterns of marine community tropicalization and deborealization in warming European seas. Nature Communications Please check the github repo cti_cross_region_taxon for updates. Abstract Ocean warming and acidification, decreases in dissolved oxygen concentrations, and changes in primary production are causing an unprecedented global redistribution of marine life. The identification of underlying ecological processes underpinning marine species turnover, particularly the prevalence of tropicalization over deborealization, has been recently debated in the context of ocean warming. Here, we track changes in the mean thermal affinity of marine communities across European seas by calculating the Community Temperature Index for 65 biodiversity time series collected over four decades and containing 1,817 species from different communities (zooplankton, coastal benthos, pelagic and demersal invertebrates and fish). We show most communities and sites have clearly responded to ongoing ocean warming via abundance increases of warm-water species (tropicalization; 54%) and decreases of cold-water species (deborealization; 18%). Tropicalization dominated Atlantic sites compared to semi-enclosed basins such as the Mediterranean and Baltic Seas, probably due to physical barrier constraints to connectivity and species colonization. Semi-enclosed basins appeared to be particularly vulnerable to ocean warming, experiencing the fastest rates of warming and biodiversity loss through deborealization. Keywords: climate change, community temperature index, CTI, ocean connectivity. Acknowledgements This study has been supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 869300 (FutureMARES project) (G.C., E.V., J.F-S., M.P., M.Lin., C.D., D.G-G., G.R., L.B., C.R., M.C., F.R., G.R., P.B., M.P., M.Lep., J.L., A.B., N.M., J.G., F.B., L.B.C, A.Q., F.V., A.I., and I.U.), and by the Urban Klima 2050 -- LIFE 18 IPC 000001 project, which has been received funding from European Union's LIFE programme (G.C., E.V., L.I., A.B., A.U., and M.R.). Additional financial support was obtained from the Basque Government (PIBA2020-1-0028 & IT1723-22). We thank the NOAA Climate Prediction Center for providing Sea Temperature data through the NCEP Global Ocean Data Assimilation System (GODAS) www.cpc.ncep.noaa.gov/products/GODAS. We also thank Ocean Biodiversity Information System (OBIS) for providing global occurrences of the biological group studied here. Data from the Basque Country were obtained from the Basque Water Agency (URA) monitoring network, through a Convention with AZTI. M.C., J.G., D.G.-G. and F.R. acknowledge the 'Severo Ochoa Centre of Excellence' accreditation (CEX2019-000928-S). Authors M.H. and M.Lin. are grateful for the support from ICES Working Group on Comparative Ecosystem-based Analyses of Atlantic and Mediterranean marine systems (WGCOMEDA) for this research. This paper is contribution nº xxxx from AZTI, Marine Research, Basque Research and Technology Alliance (BRTA)

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    Authors: Maoum, Ahmadreza;

    These are the required files and the CLIMBER-X model coupeled with PDAF that was used to obtain the results that are presented in the paper "Paleoclimate Data Assimilation with CLIMBER-X: An ensemble Kalman filter for the Last Deglaciation". This paper will be published in PLOS ONE journal. For the original code of CLIMBER-X, see : (https://doi.org/10.5281/zenodo.6877358, Willeit, 2022) For PDAF source codes, see https://pdaf.awi.de/trac/wiki.

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    Authors: Haas, Christian; Happ, Lena; Landy, Jack; Krumpen, Thomas;
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    Authors: Boike, Julia; Stünzi, Simone Maria; Gottuk, Jannika; Bornemann, Niko; +1 Authors
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    Authors: Steiglechner, Peter;

    Noise and Opinion Dynamics This repository contains model code for our manuscript: Steiglechner, P., Keijzer, M.A., Smaldino, P.e., Moser, D., Merico, A. (in press) ‘Noise and opinion dynamics: How ambiguity promotes pro-majority consensus in the presence of confirmation bias’. Journal of the Royal Society Open Science. Preprint available at: https://doi.org/10.31235/osf.io/u2t7r. The model We investigate here the impact of four different types of noise on the bounded confidence (BC) model of opinion formation. The four types of noise include: Selectivity, Adaptation, Exogenous and Ambiguity Noise.

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    Authors: Danilov, Sergey; Sidorenko, Dnitry; Patrick, Scholz; Koldunov, Nikolay; +4 Authors

    Version of FESOM2 model used for Bastin et al.

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