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Research data keyboard_double_arrow_right Dataset 2023Publisher:Zenodo Funded by:EC | OceanNETs, EC | COMFORTEC| OceanNETs ,EC| COMFORTJeltsch-Thömmes, Aurich; Tran, Giang; Lienert, Sebastian; Keller, David; Oschlies, Andreas; Joos, Fortunat;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.10040569&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 add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.10040569&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:Zenodo Funded by:SNSF | NCCR Automation (phase I)SNSF| NCCR Automation (phase I)Di Natale, Loris; Funk, Luca; Rüdisüli, Martin; Svetozarevic, Bratislav; Pareschi, Giacomo; Heer, Philipp; Sansavini, Giovanni;This repository gathers the data used in the paper: Loris Di Natale, Luca Funk, Martin Rüdisüli, Bratislav Svetozarevic, Giacomo Pareschi, Philipp Heer and Giovanni Sansavini. The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland. Energies. 2021; 14(16):4812. https://doi.org/10.3390/en14164812. The linked code can be found here. Small description of the different files: Car_trips.csv: List of trips from different cars in Switzerland. Data provided by Giacomo Pareschi and based on the result of the 2015 edition of MZMV (Bundesamt für Statistik / Bundesamt für Raumentwicklung, Verkehrsverhalten der Bevölkerung, Ergebnisse des Mikrozensus Mobilität und Verkehr 2015, Neuchâtel und Bern (2017), https://www.are.admin.ch/are/de/home/mobilitaet/grundlagen-und-daten/mzmv.html ). Each weekly profile is not representative and any result obtained with less than 50 profiles should be interpreted with extreme caution. ch.bfe.ladestellen-elektromobilitaet.json: Data on the charging stations in Switzerland. Online data from the Swiss Federal Office of Energy. cs_power_Home.csv and cs_power_Work.csv: Own data on the charging powers of charging stations located at home or at work. energy_system_model_empa_results_sc_1.csv: Swiss Energy System model used in our work to generate the fixed hydropower output profile. Data provided by Dr. Martin Rüdisüli. EVs_cap.csv: Data on different EV brands, from own research. gCO2_eq_kWh_techs.csv: CO2-equivalent greenhouse gas emission factors for different technologies, from own research. Heat_BEV_demand_2018.csv: Electricity demand for heating and EVs in Switzerland. Data provided by Dr. Martin Rüdisüli. inflows_Beer.csv: Data on the water inflows in the Swiss dams over the year. Data provided by Michael Beer, from Beer, M. Abschätzung des Potenzials der Schweizer Speicherseen zur Lastdeckung bei Importrestriktionen. Z. Energiewirtschaft 2018, 42, 1–12. MeteoSchweiz_pop_weight_2018.csv: Temperature data in Switzerland taken from MeteoSwiss and population-weighted. Data provided by Dr. Martin Rüdisüli. Scenarios.csv and Scenarios+.csv: Different scenarios for electricity production and consumption, generated in-house based on the Energy Strategy 2050 (Kirchner, A.; Bredow, D.; Ess, F.; Grebel, T.; Hofer, P.; Kemmler, A.; Ley, A.; Piégsa, A.; Schütz, N.; Strassburg, S.; et al. Energy Perspectives, Die Energieperspektiven für die Schweiz bis 2050; Prognos AG: Basel, Switzerland, 2012), respectively the Energy Strategy 2050+ (Prognos AG and INFRAS AG and TEP Energy GmbH and Ecoplan AG. ENERGIEPERSPEKTIVEN 2050+ Kurzbericht. 2020). transfer_15min_2018.csv: Swiss power system model of electricity production and consumption in 2018. Data provided by Dr. Martin Rüdisüli.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 133visibility views 133 download downloads 321 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.5242900&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 EnglishPublisher:Zenodo Funded by:SNSF | SeaO2 - Past changes in S...SNSF| SeaO2 - Past changes in Southern Ocean overturning circulation - implications for the partitioning of carbon and oxygen between the ocean and the atmosphereJonkers, Lukas; Cartapanis, Olivier; Langner, Michael; McKay, Nicholas; Mulitza, Stefan; Strack, Anne; Kucera, Michal;{"references": ["Jonkers, L., Cartapanis, O., Langner, M., McKay, N., Mulitza, S., Strack, A., and Kucera, M.: Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis, Earth Syst. Sci. Data, 12, 1053\u20131081, https://doi.org/10.5194/essd-12-1053-2020, 2020"]} Palaeoclimate time series in the PALMOD 130k marine palaeoclimate data synthesis v1.0.1. This table lists the site names and location, parameters including additional information as well as the source of the data and the original publications where the data were presented.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.3739018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 159visibility views 159 download downloads 99 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.3739018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Embargo end date: 20 May 2016 EnglishPublisher:Dryad Funded by:NSF | EAGER: Building and analy..., NSF | Collaborative Research: U..., SNSF | Effect of Eddies on South...NSF| EAGER: Building and analyzing dynamic brain functional networks ,NSF| Collaborative Research: Understanding Climate Change: A Data Driven Approach ,SNSF| Effect of Eddies on Southern Ocean Water Mass Characteristics and Carbon Uptake, and its Sensitivity to Climate Change - Analysis of resolution dependence of climate model simulationsFaghmous, James H.; Frenger, Ivy; Yao, Yuanshun; Warmka, Robert; Lindell, Aron; Kumar, Vipin;doi: 10.5061/dryad.gp40h
Mesoscale ocean eddies are ubiquitous coherent rotating structures of water with radial scales on the order of 100 kilometers. Eddies play a key role in the transport and mixing of momentum and tracers across the World Ocean. We present a global daily mesoscale ocean eddy dataset that contains ~45 million mesoscale features and 3.3 million eddy trajectories that persist at least two days as identified in the AVISO dataset over a period of 1993–2014. This dataset, along with the open-source eddy identification software, extract eddies with any parameters (minimum size, lifetime, etc.), to study global eddy properties and dynamics, and to empirically estimate the impact eddies have on mass or heat transport. Furthermore, our open-source software may be used to identify mesoscale features in model simulations and compare them to observed features. Finally, this dataset can be used to study the interaction between mesoscale ocean eddies and other components of the Earth System. Global mesoscale ocean eddy featuresA database of ocean eddies identified in daily satellite altimeter data. Each file contains the eddy features identified on that day. Each day has two file one for cyclonic and another for anticyclonic eddies. Each eddy object contains geographical and physical information as well as the grid cells that make up the eddy's body.eddies.zipGlobal daily eddy trajectoriesUsing the eddies found in our eddy database, we generated trajectories for eddies that had at least 1cm amplitude and 9 grid cells in size. This is just an example eddy trajectories dataset and researchers can filter our eddy database to construct eddy trajectories that meet their needstracks.txttracks_readme.txt
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 160visibility views 160 download downloads 412 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Dryad Digital Repository Funded by:EC | CICHLIDX, SNSF | Diversity through time in...EC| CICHLIDX ,SNSF| Diversity through time in adaptive radiationsAuthors: Meyer, Britta; Matschiner, Michael; Salzburger, Walter;Meyer, Britta; Matschiner, Michael; Salzburger, Walter;Adaptive radiation is thought to be responsible for the evolution of a great portion of the past and present diversity of life. Instances of adaptive radiation, characterized by the rapid emergence of an array of species as a consequence to their adaptation to distinct ecological niches, are important study systems in evolutionary biology. However, because of the rapid lineage formation in these groups, and occasional gene flow between the participating species, it is often difficult to reconstruct the phylogenetic history of species that underwent an adaptive radiation. In this study, we present a novel approach for species-tree estimation in rapidly diversifying lineages, where introgression is known to occur, and apply it to a multimarker data set containing up to 16 specimens per species for a set of 45 species of East African cichlid fishes (522 individuals in total), with a main focus on the cichlid species flock of Lake Tanganyika. We first identified, using age distributions of most recent common ancestors in individual gene trees, those lineages in our data set that show strong signatures of past introgression. This led us to formulate three hypotheses of introgression between different lineages of Tanganyika cichlids: the ancestor of Boulengerochromini (or of Boulengerochromini and Bathybatini) received genomic material from the derived H-lineage; the common ancestor of Cyprichromini and Perissodini experienced, in turn, introgression from Boulengerochromini and/or Bathybatini; and the Lake Tanganyika Haplochromini and closely related riverine lineages received genetic material from Cyphotilapiini. We then applied the multispecies coalescent model to estimate the species tree of Lake Tanganyika cichlids, but excluded the lineages involved in these introgression events, as the multispecies coalescent model does not incorporate introgression. This resulted in a robust species tree, in which the Lamprologini were placed as sister lineage to the H-lineage (including the Eretmodini), and we identify a series of rapid splitting events at the base of the H-lineage. Divergence ages estimated with the multispecies coalescent model were substantially younger than age estimates based on concatenation, and agree with the geological history of the Great Lakes of East Africa. Finally, we formally tested the three hypotheses of introgression using a likelihood framework, and find strong support for introgression between some of the cichlid tribes of Lake Tanganyika. nexussequence alignmentstreesphylogenetic treesMeyer et al., supplementary informationMeyer_et_al_supplementary_information.pdf
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 60visibility views 60 download downloads 32 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2023Publisher:Zenodo Funded by:EC | OceanNETs, EC | COMFORTEC| OceanNETs ,EC| COMFORTJeltsch-Thömmes, Aurich; Tran, Giang; Lienert, Sebastian; Keller, David; Oschlies, Andreas; Joos, Fortunat;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.10040569&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 add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.10040569&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 EnglishPublisher:Zenodo Funded by:SNSF | NCCR Automation (phase I)SNSF| NCCR Automation (phase I)Di Natale, Loris; Funk, Luca; Rüdisüli, Martin; Svetozarevic, Bratislav; Pareschi, Giacomo; Heer, Philipp; Sansavini, Giovanni;This repository gathers the data used in the paper: Loris Di Natale, Luca Funk, Martin Rüdisüli, Bratislav Svetozarevic, Giacomo Pareschi, Philipp Heer and Giovanni Sansavini. The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland. Energies. 2021; 14(16):4812. https://doi.org/10.3390/en14164812. The linked code can be found here. Small description of the different files: Car_trips.csv: List of trips from different cars in Switzerland. Data provided by Giacomo Pareschi and based on the result of the 2015 edition of MZMV (Bundesamt für Statistik / Bundesamt für Raumentwicklung, Verkehrsverhalten der Bevölkerung, Ergebnisse des Mikrozensus Mobilität und Verkehr 2015, Neuchâtel und Bern (2017), https://www.are.admin.ch/are/de/home/mobilitaet/grundlagen-und-daten/mzmv.html ). Each weekly profile is not representative and any result obtained with less than 50 profiles should be interpreted with extreme caution. ch.bfe.ladestellen-elektromobilitaet.json: Data on the charging stations in Switzerland. Online data from the Swiss Federal Office of Energy. cs_power_Home.csv and cs_power_Work.csv: Own data on the charging powers of charging stations located at home or at work. energy_system_model_empa_results_sc_1.csv: Swiss Energy System model used in our work to generate the fixed hydropower output profile. Data provided by Dr. Martin Rüdisüli. EVs_cap.csv: Data on different EV brands, from own research. gCO2_eq_kWh_techs.csv: CO2-equivalent greenhouse gas emission factors for different technologies, from own research. Heat_BEV_demand_2018.csv: Electricity demand for heating and EVs in Switzerland. Data provided by Dr. Martin Rüdisüli. inflows_Beer.csv: Data on the water inflows in the Swiss dams over the year. Data provided by Michael Beer, from Beer, M. Abschätzung des Potenzials der Schweizer Speicherseen zur Lastdeckung bei Importrestriktionen. Z. Energiewirtschaft 2018, 42, 1–12. MeteoSchweiz_pop_weight_2018.csv: Temperature data in Switzerland taken from MeteoSwiss and population-weighted. Data provided by Dr. Martin Rüdisüli. Scenarios.csv and Scenarios+.csv: Different scenarios for electricity production and consumption, generated in-house based on the Energy Strategy 2050 (Kirchner, A.; Bredow, D.; Ess, F.; Grebel, T.; Hofer, P.; Kemmler, A.; Ley, A.; Piégsa, A.; Schütz, N.; Strassburg, S.; et al. Energy Perspectives, Die Energieperspektiven für die Schweiz bis 2050; Prognos AG: Basel, Switzerland, 2012), respectively the Energy Strategy 2050+ (Prognos AG and INFRAS AG and TEP Energy GmbH and Ecoplan AG. ENERGIEPERSPEKTIVEN 2050+ Kurzbericht. 2020). transfer_15min_2018.csv: Swiss power system model of electricity production and consumption in 2018. Data provided by Dr. Martin Rüdisüli.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.5242900&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 133visibility views 133 download downloads 321 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.5242900&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 EnglishPublisher:Zenodo Funded by:SNSF | SeaO2 - Past changes in S...SNSF| SeaO2 - Past changes in Southern Ocean overturning circulation - implications for the partitioning of carbon and oxygen between the ocean and the atmosphereJonkers, Lukas; Cartapanis, Olivier; Langner, Michael; McKay, Nicholas; Mulitza, Stefan; Strack, Anne; Kucera, Michal;{"references": ["Jonkers, L., Cartapanis, O., Langner, M., McKay, N., Mulitza, S., Strack, A., and Kucera, M.: Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PalMod 130k marine palaeoclimate data synthesis, Earth Syst. Sci. Data, 12, 1053\u20131081, https://doi.org/10.5194/essd-12-1053-2020, 2020"]} Palaeoclimate time series in the PALMOD 130k marine palaeoclimate data synthesis v1.0.1. This table lists the site names and location, parameters including additional information as well as the source of the data and the original publications where the data were presented.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.3739018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 159visibility views 159 download downloads 99 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All 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=10.5281/zenodo.3739018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Embargo end date: 20 May 2016 EnglishPublisher:Dryad Funded by:NSF | EAGER: Building and analy..., NSF | Collaborative Research: U..., SNSF | Effect of Eddies on South...NSF| EAGER: Building and analyzing dynamic brain functional networks ,NSF| Collaborative Research: Understanding Climate Change: A Data Driven Approach ,SNSF| Effect of Eddies on Southern Ocean Water Mass Characteristics and Carbon Uptake, and its Sensitivity to Climate Change - Analysis of resolution dependence of climate model simulationsFaghmous, James H.; Frenger, Ivy; Yao, Yuanshun; Warmka, Robert; Lindell, Aron; Kumar, Vipin;doi: 10.5061/dryad.gp40h
Mesoscale ocean eddies are ubiquitous coherent rotating structures of water with radial scales on the order of 100 kilometers. Eddies play a key role in the transport and mixing of momentum and tracers across the World Ocean. We present a global daily mesoscale ocean eddy dataset that contains ~45 million mesoscale features and 3.3 million eddy trajectories that persist at least two days as identified in the AVISO dataset over a period of 1993–2014. This dataset, along with the open-source eddy identification software, extract eddies with any parameters (minimum size, lifetime, etc.), to study global eddy properties and dynamics, and to empirically estimate the impact eddies have on mass or heat transport. Furthermore, our open-source software may be used to identify mesoscale features in model simulations and compare them to observed features. Finally, this dataset can be used to study the interaction between mesoscale ocean eddies and other components of the Earth System. Global mesoscale ocean eddy featuresA database of ocean eddies identified in daily satellite altimeter data. Each file contains the eddy features identified on that day. Each day has two file one for cyclonic and another for anticyclonic eddies. Each eddy object contains geographical and physical information as well as the grid cells that make up the eddy's body.eddies.zipGlobal daily eddy trajectoriesUsing the eddies found in our eddy database, we generated trajectories for eddies that had at least 1cm amplitude and 9 grid cells in size. This is just an example eddy trajectories dataset and researchers can filter our eddy database to construct eddy trajectories that meet their needstracks.txttracks_readme.txt
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 160visibility views 160 download downloads 412 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Dryad Digital Repository Funded by:EC | CICHLIDX, SNSF | Diversity through time in...EC| CICHLIDX ,SNSF| Diversity through time in adaptive radiationsAuthors: Meyer, Britta; Matschiner, Michael; Salzburger, Walter;Meyer, Britta; Matschiner, Michael; Salzburger, Walter;Adaptive radiation is thought to be responsible for the evolution of a great portion of the past and present diversity of life. Instances of adaptive radiation, characterized by the rapid emergence of an array of species as a consequence to their adaptation to distinct ecological niches, are important study systems in evolutionary biology. However, because of the rapid lineage formation in these groups, and occasional gene flow between the participating species, it is often difficult to reconstruct the phylogenetic history of species that underwent an adaptive radiation. In this study, we present a novel approach for species-tree estimation in rapidly diversifying lineages, where introgression is known to occur, and apply it to a multimarker data set containing up to 16 specimens per species for a set of 45 species of East African cichlid fishes (522 individuals in total), with a main focus on the cichlid species flock of Lake Tanganyika. We first identified, using age distributions of most recent common ancestors in individual gene trees, those lineages in our data set that show strong signatures of past introgression. This led us to formulate three hypotheses of introgression between different lineages of Tanganyika cichlids: the ancestor of Boulengerochromini (or of Boulengerochromini and Bathybatini) received genomic material from the derived H-lineage; the common ancestor of Cyprichromini and Perissodini experienced, in turn, introgression from Boulengerochromini and/or Bathybatini; and the Lake Tanganyika Haplochromini and closely related riverine lineages received genetic material from Cyphotilapiini. We then applied the multispecies coalescent model to estimate the species tree of Lake Tanganyika cichlids, but excluded the lineages involved in these introgression events, as the multispecies coalescent model does not incorporate introgression. This resulted in a robust species tree, in which the Lamprologini were placed as sister lineage to the H-lineage (including the Eretmodini), and we identify a series of rapid splitting events at the base of the H-lineage. Divergence ages estimated with the multispecies coalescent model were substantially younger than age estimates based on concatenation, and agree with the geological history of the Great Lakes of East Africa. Finally, we formally tested the three hypotheses of introgression using a likelihood framework, and find strong support for introgression between some of the cichlid tribes of Lake Tanganyika. nexussequence alignmentstreesphylogenetic treesMeyer et al., supplementary informationMeyer_et_al_supplementary_information.pdf
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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