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Research data keyboard_double_arrow_right Dataset 2020 QatarPublisher:Mendeley Authors: Dana Alghool (10340691); Tarek Elmekkawy (10340694); Mohamed Haouari (10340697); Adel Elomri (8984063);handle: 10576/38707
Part of the data is collected on the main components of the solar assisted district cooling system. While the other part of the data is collected on parameters related to the system's components . The data of the system components includes, solar collectors unit price ($/m2), type, and efficiency; absorption chiller capacity (kW), type, initial cost ($), and COP; the hot/chilled water thermal energy storage tank type, initial cost ($) and capacity (kWh); and auxiliary boiler initial cost ($), capacity (kW), type and efficiency. While, the other part of the data is collected on hourly cooling demand over the year for state of Qatar (kW), hourly global solar irradiance over the year for state of Qatar (W/m2) and variable cost of producing and storing chilled and hot water ($/kWh, $/kW). The data are collected from different resources such as government website, commercial websites, government sectors, journals and real-life case studies. The value of this data comes from that most of the data required to conduct such research in this area are available in one resource. Also, some of the data such as the annual hourly cooling demand and global solar radiation are not available online. Moreover, the collected data are already filtered and the units are consistent and ready to be used. Finally, the data which considered to be crucial and the core of such research are available in this paper. This data is cited in: Alghool, Dana; Elmekkawy, Tarek; Haouari, Mohamed; Elomri, Adel (2020), “Data on the Design of Solar Assisted District Cooling Systems”, Mendeley Data, V2, doi: 10.17632/754wphy77k.2
Mendeley Data arrow_drop_down Qatar University Institutional RepositoryDataset . 2020Data sources: Qatar University Institutional RepositorySmithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Qatar University: QU Institutional RepositoryDatasetData sources: Bielefeld Academic Search Engine (BASE)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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/754wphy77k.2&type=result"></script>'); --> </script>
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more_vert Mendeley Data arrow_drop_down Qatar University Institutional RepositoryDataset . 2020Data sources: Qatar University Institutional RepositorySmithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Qatar University: QU Institutional RepositoryDatasetData sources: Bielefeld Academic Search Engine (BASE)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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/754wphy77k.2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 QatarPublisher:Mendeley Authors: Dana Alghool (10340691); Tarek Elmekkawy (10340694); Mohamed Haouari (10340697); Adel Elomri (8984063);handle: 10576/38707
Part of the data is collected on the main components of the solar assisted district cooling system. While the other part of the data is collected on parameters related to the system's components . The data of the system components includes, solar collectors unit price ($/m2), type, and efficiency; absorption chiller capacity (kW), type, initial cost ($), and COP; the hot/chilled water thermal energy storage tank type, initial cost ($) and capacity (kWh); and auxiliary boiler initial cost ($), capacity (kW), type and efficiency. While, the other part of the data is collected on hourly cooling demand over the year for state of Qatar (kW), hourly global solar irradiance over the year for state of Qatar (W/m2) and variable cost of producing and storing chilled and hot water ($/kWh, $/kW). The data are collected from different resources such as government website, commercial websites, government sectors, journals and real-life case studies. The value of this data comes from that most of the data required to conduct such research in this area are available in one resource. Also, some of the data such as the annual hourly cooling demand and global solar radiation are not available online. Moreover, the collected data are already filtered and the units are consistent and ready to be used. Finally, the data which considered to be crucial and the core of such research are available in this paper. This data is cited in: Alghool, Dana; Elmekkawy, Tarek; Haouari, Mohamed; Elomri, Adel (2020), “Data on the Design of Solar Assisted District Cooling Systems”, Mendeley Data, V2, doi: 10.17632/754wphy77k.2
Mendeley Data arrow_drop_down Qatar University Institutional RepositoryDataset . 2020Data sources: Qatar University Institutional RepositorySmithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Qatar University: QU Institutional RepositoryDatasetData sources: Bielefeld Academic Search Engine (BASE)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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/754wphy77k.2&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 Mendeley Data arrow_drop_down Qatar University Institutional RepositoryDataset . 2020Data sources: Qatar University Institutional RepositorySmithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Qatar University: QU Institutional RepositoryDatasetData sources: Bielefeld Academic Search Engine (BASE)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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/754wphy77k.2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Zenodo Funded by:EC | DTADDEC| DTADDAuthors:Alejandro, Jiménez Rios;
Alejandro, Jiménez Rios
Alejandro, Jiménez Rios in OpenAIREMaria, Nogal;
Maria, Nogal
Maria, Nogal in OpenAIREVagelis, Plevris;
Vagelis, Plevris
Vagelis, Plevris in OpenAIRERafael, Ramirez;
+1 AuthorsRafael, Ramirez
Rafael, Ramirez in OpenAIREAlejandro, Jiménez Rios;
Alejandro, Jiménez Rios
Alejandro, Jiménez Rios in OpenAIREMaria, Nogal;
Maria, Nogal
Maria, Nogal in OpenAIREVagelis, Plevris;
Vagelis, Plevris
Vagelis, Plevris in OpenAIRERafael, Ramirez;
Rafael, Ramirez
Rafael, Ramirez in OpenAIREMargarita, L. Petrou;
Margarita, L. Petrou
Margarita, L. Petrou in OpenAIREThis database contains all the responses from the participants in the survey: Industry 5.0 Concepts and Enabling Technologies, Towards an Enhanced Conservation Practice. The main purpose of this survey was to explore how the Architecture, Engineering, Construction, Management, Operation, and Conservation (AECMO&C)industry can adapt and better prepare to embrace the innovative principles and enabling technologies of Industry 5.0. This could ultimately result inenhanced conservation practices for built cultural heritage.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.12277020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.12277020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Zenodo Funded by:EC | DTADDEC| DTADDAuthors:Alejandro, Jiménez Rios;
Alejandro, Jiménez Rios
Alejandro, Jiménez Rios in OpenAIREMaria, Nogal;
Maria, Nogal
Maria, Nogal in OpenAIREVagelis, Plevris;
Vagelis, Plevris
Vagelis, Plevris in OpenAIRERafael, Ramirez;
+1 AuthorsRafael, Ramirez
Rafael, Ramirez in OpenAIREAlejandro, Jiménez Rios;
Alejandro, Jiménez Rios
Alejandro, Jiménez Rios in OpenAIREMaria, Nogal;
Maria, Nogal
Maria, Nogal in OpenAIREVagelis, Plevris;
Vagelis, Plevris
Vagelis, Plevris in OpenAIRERafael, Ramirez;
Rafael, Ramirez
Rafael, Ramirez in OpenAIREMargarita, L. Petrou;
Margarita, L. Petrou
Margarita, L. Petrou in OpenAIREThis database contains all the responses from the participants in the survey: Industry 5.0 Concepts and Enabling Technologies, Towards an Enhanced Conservation Practice. The main purpose of this survey was to explore how the Architecture, Engineering, Construction, Management, Operation, and Conservation (AECMO&C)industry can adapt and better prepare to embrace the innovative principles and enabling technologies of Industry 5.0. This could ultimately result inenhanced conservation practices for built cultural heritage.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.12277020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.12277020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Alkhatib, Fathy; Maalouf, Maher;This dataset is utilized to conduct a comparative analysis of various deep learning methods and techniques for global horizontal irradiance forecasting in three cities with different climates in the US. The cities are Rochester, Seattle, and Tucson. The data is for the year 2021.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/xw3bcstvc2&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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/xw3bcstvc2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:Mendeley Data Authors: Alkhatib, Fathy; Maalouf, Maher;This dataset is utilized to conduct a comparative analysis of various deep learning methods and techniques for global horizontal irradiance forecasting in three cities with different climates in the US. The cities are Rochester, Seattle, and Tucson. The data is for the year 2021.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/xw3bcstvc2&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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.17632/xw3bcstvc2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Embargo end date: 30 May 2022Publisher:Harvard Dataverse Authors:Mawad, Ramy;
Madbouly, Hanafy M.; Ghamry, Essam; Mahdy, Ehab M. B.;Mawad, Ramy
Mawad, Ramy in OpenAIREdoi: 10.7910/dvn/cbjk2t
Collected data for pandemic viruses during every solar activity ctcle.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.7910/dvn/cbjk2t&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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.7910/dvn/cbjk2t&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Embargo end date: 30 May 2022Publisher:Harvard Dataverse Authors:Mawad, Ramy;
Madbouly, Hanafy M.; Ghamry, Essam; Mahdy, Ehab M. B.;Mawad, Ramy
Mawad, Ramy in OpenAIREdoi: 10.7910/dvn/cbjk2t
Collected data for pandemic viruses during every solar activity ctcle.
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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.7910/dvn/cbjk2t&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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.7910/dvn/cbjk2t&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Zenodo Funded by:EC | LIFEPLAN, EC | BIODESERTEC| LIFEPLAN ,EC| BIODESERTAuthors:Tedersoo, Leho;
Tedersoo, Leho
Tedersoo, Leho in OpenAIREMikryukov, Vladimir;
Mikryukov, Vladimir
Mikryukov, Vladimir in OpenAIREZizka, Alexander;
Bahram, Mohammad; +105 AuthorsZizka, Alexander
Zizka, Alexander in OpenAIRETedersoo, Leho;
Tedersoo, Leho
Tedersoo, Leho in OpenAIREMikryukov, Vladimir;
Mikryukov, Vladimir
Mikryukov, Vladimir in OpenAIREZizka, Alexander;
Bahram, Mohammad;Zizka, Alexander
Zizka, Alexander in OpenAIREHagh-Doust, Niloufar;
Hagh-Doust, Niloufar
Hagh-Doust, Niloufar in OpenAIREAnslan, Sten;
Anslan, Sten
Anslan, Sten in OpenAIREPrylutskyi, Oleh;
Prylutskyi, Oleh
Prylutskyi, Oleh in OpenAIREDelgado-Baquerizo, Manuel;
Delgado-Baquerizo, Manuel
Delgado-Baquerizo, Manuel in OpenAIREMaestre, Fernando T.;
Pärn, Jaan;Maestre, Fernando T.
Maestre, Fernando T. in OpenAIREÖpik, Maarja;
Öpik, Maarja
Öpik, Maarja in OpenAIRESOUDZILOVSKAIA, Nadejda;
SOUDZILOVSKAIA, Nadejda; SOUDZILOVSKAIA, Nadejda; SOUDZILOVSKAIA, Nadejda;SOUDZILOVSKAIA, Nadejda
SOUDZILOVSKAIA, Nadejda in OpenAIREAntonelli, Alexandre;
Antonelli, Alexandre
Antonelli, Alexandre in OpenAIREKõljalg, Urmas;
Kõljalg, Urmas
Kõljalg, Urmas in OpenAIREAbarenkov, Kessy;
Abarenkov, Kessy
Abarenkov, Kessy in OpenAIREMoora, Mari;
Moora, Mari
Moora, Mari in OpenAIREZobel, Martin;
Espenberg, Mikk; Mander, Ülo; Khalid, Abdul Nasir; Corrales, Adriana; Agan, Ahto; Vasco-Palacios, Aída-M.; Saitta, Alessandro; Rinaldi, Andrea C.; Verbeken, Annemieke; Sulistyo, Bobby P.; Tamgnoue, Boris; Furneaux, Brendan; Ritter, Camila Duarte; Nyamukondiwa, Casper; Sharp, Cathy; Marín, César; Gohar, Daniyal; Klavina, Darta; Sharmah, Dipon; Dai, Dong Qin; Nouhra, Eduardo; Biersma, Elisabeth Machteld; Rähn, Elisabeth; Cameron, Erin K.; De Crop, Eske; Otsing, Eveli; Davydov, Evgeny A.; Albornoz, Felipe E.; Brearley, Francis Q.; Buegger, Franz; Zahn, Geoffrey; Bonito, Gregory; Hiiesalu, Inga; Barrio, Isabel C.; Heilmann-Clausen, Jacob; Ankuda, Jelena; Kupagme, John Y.;Zobel, Martin
Zobel, Martin in OpenAIREMaciá-Vicente, Jose G.;
Fovo, Joseph Djeugap; Geml, József; Alatalo, Juha M.; Alvarez-Manjarrez, Julieta; Põldmaa, Kadri; Runnel, Kadri; Adamson, Kalev; Bråthen, Kari Anne; Pritsch, Karin; Tchan, Kassim I.; Armolaitis, Kęstutis; Hyde, Kevin D.; Newsham, Kevin K.; Panksep, Kristel; Lateef, Adebola A.; Tiirmann, Liis; Hansson, Linda; Lamit, Louis J.; Saba, Malka; Tuomi, Maria; Gryzenhout, Marieka; Bauters, Marijn; Piepenbring, Meike; Wijayawardene, Nalin; Yorou, Nourou S; Kurina, Olavi; Mortimer, Peter E.; Meidl, Peter; Kohout, Petr; Nilsson, Henrik R.; Puusepp, Rasmus; Drenkhan, Rein; Garibay-Orijel, Roberto; Godoy, Roberto; Alkahtani, Saad; Rahimlou, Saleh; Dudov, Sergey V.; Põlme, Sergei; Ghosh, Soumya; Mundra, Sunil; Ahmed, Talaat; Netherway, Tarquin; Henkel, Terry W.; Roslin, Tomas; Nteziryayo, Vincent; Fedosov, Vladimir E.; Onipchenko, Vladimir G.; Yasanthika, W. A. Erandi; Lim, Young Woon; Tedersoo, Leho; Tedersoo, Leho;Maciá-Vicente, Jose G.
Maciá-Vicente, Jose G. in OpenAIREhandle: 1942/40339
This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general. This repository contains the following data associated with the publication: Supplementary tables S1 - S6 (`Tables_S1-S6.xlsx`): - Table S1. Definition of ecoregions and assignment of samples to ecoregions - Table S2. GSMc dataset used for endemicity analyses - Table S3. Dataset used for modeling endemicity values - Table S4. Dataset used for calculating and mapping vulnerability scores - Table S5. Dataset used for calculating and mapping conservation value - Table S6. Additional funding sources by authors OTU distribution by samples and ecoregions (`Data_taxon_assignment_to ecoregions.xlsx`) Gridded maps: Conservation priorities for all fungi and fungal groups - ConservationPriority_AllFungi.tif - ConservationPriority_AM.tif - ConservationPriority_EcM.tif - ConservationPriority_Moulds.tif - ConservationPriority_NonEcMAgaricomycetes.tif - ConservationPriority_OHPs.tif - ConservationPriority_Pathogens.tif - ConservationPriority_Unicellular.tif - ConservationPriority_Yeasts.tif The average vulnerability of all fungi and fungal groups and the model uncertainty estimates - AverageVulnerability_AllFungi.tif - AverageVulnerability_AM.tif - AverageVulnerability_EcM.tif - AverageVulnerability_Moulds.tif - AverageVulnerability_NonEcMAgaricomycetes.tif - AverageVulnerability_OHPs.tif - AverageVulnerability_Pathogens.tif - AverageVulnerabilityUncertainty_AllFungi.tif - AverageVulnerabilityUncertainty_AM.tif - AverageVulnerabilityUncertainty_EcM.tif - AverageVulnerabilityUncertainty_Moulds.tif - AverageVulnerabilityUncertainty_NonEcMAgaricomycetes.tif - AverageVulnerabilityUncertainty_OHPs.tif - AverageVulnerabilityUncertainty_Pathogens.tif - AverageVulnerabilityUncertainty_Unicellular.tif - AverageVulnerabilityUncertainty_Yeasts.tif - AverageVulnerability_Unicellular.tif - AverageVulnerability_Yeasts.tif The relative importance of predicted vulnerability of all fungi - RelativeImportanceOfVulnerability_AllFungi.tif Vulnerability to drought, heat, and land cover change for all fungi - Vulnerability_AllFungi_Heat-Drought-LandCoverChange.tif - VulnerabilityUncertainty_AllFungi_Heat-Drought-LandCoverChange.tif Human footprint index based on the Land-Use Harmonisation (LUH2; Hurtt et al., 2020, doi:10.5194/gmd-13-5425-2020) - `LandCoverChange_1960-2015.tif` MD5 checksums for all files (`MD5.md5`) Fungal groups: - AM, arbuscular mycorrhizal fungi (including all Glomeromycota but excluding all Endogonomycetes) - EcM, ectomycorrhizal fungi (excluding dubious lineages) - NonEcMAgaricomycetes, non-EcM Agaricomycetes (mostly saprotrophic fungi with usually macroscopic fruiting bodies) - Moulds (including Mortierellales, Mucorales, Umbelopsidales and Aspergillaceae and Trichocomaceae of Eurotiales and Trichoderma of Hypocreales) - Putative pathogens (including plant, animal and fungal pathogens as primary or secondary lifestyles) - OHPs, opportunistic human parasites (excluding Mortierellales) - Yeasts (excluding dimorphic yeasts) - Unicellular, other unicellular (non-yeast) fungi (including chytrids, aphids, rozellids and other early-diverging fungal lineages) Detailed processing steps can be found here: https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general.
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more_vert ZENODO arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Flemish Research Information SpaceDatasetLicense: Dataset LicencesData sources: Flemish Research Information Spaceadd 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 2022 NetherlandsPublisher:Zenodo Funded by:EC | LIFEPLAN, EC | BIODESERTEC| LIFEPLAN ,EC| BIODESERTAuthors:Tedersoo, Leho;
Tedersoo, Leho
Tedersoo, Leho in OpenAIREMikryukov, Vladimir;
Mikryukov, Vladimir
Mikryukov, Vladimir in OpenAIREZizka, Alexander;
Bahram, Mohammad; +105 AuthorsZizka, Alexander
Zizka, Alexander in OpenAIRETedersoo, Leho;
Tedersoo, Leho
Tedersoo, Leho in OpenAIREMikryukov, Vladimir;
Mikryukov, Vladimir
Mikryukov, Vladimir in OpenAIREZizka, Alexander;
Bahram, Mohammad;Zizka, Alexander
Zizka, Alexander in OpenAIREHagh-Doust, Niloufar;
Hagh-Doust, Niloufar
Hagh-Doust, Niloufar in OpenAIREAnslan, Sten;
Anslan, Sten
Anslan, Sten in OpenAIREPrylutskyi, Oleh;
Prylutskyi, Oleh
Prylutskyi, Oleh in OpenAIREDelgado-Baquerizo, Manuel;
Delgado-Baquerizo, Manuel
Delgado-Baquerizo, Manuel in OpenAIREMaestre, Fernando T.;
Pärn, Jaan;Maestre, Fernando T.
Maestre, Fernando T. in OpenAIREÖpik, Maarja;
Öpik, Maarja
Öpik, Maarja in OpenAIRESOUDZILOVSKAIA, Nadejda;
SOUDZILOVSKAIA, Nadejda; SOUDZILOVSKAIA, Nadejda; SOUDZILOVSKAIA, Nadejda;SOUDZILOVSKAIA, Nadejda
SOUDZILOVSKAIA, Nadejda in OpenAIREAntonelli, Alexandre;
Antonelli, Alexandre
Antonelli, Alexandre in OpenAIREKõljalg, Urmas;
Kõljalg, Urmas
Kõljalg, Urmas in OpenAIREAbarenkov, Kessy;
Abarenkov, Kessy
Abarenkov, Kessy in OpenAIREMoora, Mari;
Moora, Mari
Moora, Mari in OpenAIREZobel, Martin;
Espenberg, Mikk; Mander, Ülo; Khalid, Abdul Nasir; Corrales, Adriana; Agan, Ahto; Vasco-Palacios, Aída-M.; Saitta, Alessandro; Rinaldi, Andrea C.; Verbeken, Annemieke; Sulistyo, Bobby P.; Tamgnoue, Boris; Furneaux, Brendan; Ritter, Camila Duarte; Nyamukondiwa, Casper; Sharp, Cathy; Marín, César; Gohar, Daniyal; Klavina, Darta; Sharmah, Dipon; Dai, Dong Qin; Nouhra, Eduardo; Biersma, Elisabeth Machteld; Rähn, Elisabeth; Cameron, Erin K.; De Crop, Eske; Otsing, Eveli; Davydov, Evgeny A.; Albornoz, Felipe E.; Brearley, Francis Q.; Buegger, Franz; Zahn, Geoffrey; Bonito, Gregory; Hiiesalu, Inga; Barrio, Isabel C.; Heilmann-Clausen, Jacob; Ankuda, Jelena; Kupagme, John Y.;Zobel, Martin
Zobel, Martin in OpenAIREMaciá-Vicente, Jose G.;
Fovo, Joseph Djeugap; Geml, József; Alatalo, Juha M.; Alvarez-Manjarrez, Julieta; Põldmaa, Kadri; Runnel, Kadri; Adamson, Kalev; Bråthen, Kari Anne; Pritsch, Karin; Tchan, Kassim I.; Armolaitis, Kęstutis; Hyde, Kevin D.; Newsham, Kevin K.; Panksep, Kristel; Lateef, Adebola A.; Tiirmann, Liis; Hansson, Linda; Lamit, Louis J.; Saba, Malka; Tuomi, Maria; Gryzenhout, Marieka; Bauters, Marijn; Piepenbring, Meike; Wijayawardene, Nalin; Yorou, Nourou S; Kurina, Olavi; Mortimer, Peter E.; Meidl, Peter; Kohout, Petr; Nilsson, Henrik R.; Puusepp, Rasmus; Drenkhan, Rein; Garibay-Orijel, Roberto; Godoy, Roberto; Alkahtani, Saad; Rahimlou, Saleh; Dudov, Sergey V.; Põlme, Sergei; Ghosh, Soumya; Mundra, Sunil; Ahmed, Talaat; Netherway, Tarquin; Henkel, Terry W.; Roslin, Tomas; Nteziryayo, Vincent; Fedosov, Vladimir E.; Onipchenko, Vladimir G.; Yasanthika, W. A. Erandi; Lim, Young Woon; Tedersoo, Leho; Tedersoo, Leho;Maciá-Vicente, Jose G.
Maciá-Vicente, Jose G. in OpenAIREhandle: 1942/40339
This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general. This repository contains the following data associated with the publication: Supplementary tables S1 - S6 (`Tables_S1-S6.xlsx`): - Table S1. Definition of ecoregions and assignment of samples to ecoregions - Table S2. GSMc dataset used for endemicity analyses - Table S3. Dataset used for modeling endemicity values - Table S4. Dataset used for calculating and mapping vulnerability scores - Table S5. Dataset used for calculating and mapping conservation value - Table S6. Additional funding sources by authors OTU distribution by samples and ecoregions (`Data_taxon_assignment_to ecoregions.xlsx`) Gridded maps: Conservation priorities for all fungi and fungal groups - ConservationPriority_AllFungi.tif - ConservationPriority_AM.tif - ConservationPriority_EcM.tif - ConservationPriority_Moulds.tif - ConservationPriority_NonEcMAgaricomycetes.tif - ConservationPriority_OHPs.tif - ConservationPriority_Pathogens.tif - ConservationPriority_Unicellular.tif - ConservationPriority_Yeasts.tif The average vulnerability of all fungi and fungal groups and the model uncertainty estimates - AverageVulnerability_AllFungi.tif - AverageVulnerability_AM.tif - AverageVulnerability_EcM.tif - AverageVulnerability_Moulds.tif - AverageVulnerability_NonEcMAgaricomycetes.tif - AverageVulnerability_OHPs.tif - AverageVulnerability_Pathogens.tif - AverageVulnerabilityUncertainty_AllFungi.tif - AverageVulnerabilityUncertainty_AM.tif - AverageVulnerabilityUncertainty_EcM.tif - AverageVulnerabilityUncertainty_Moulds.tif - AverageVulnerabilityUncertainty_NonEcMAgaricomycetes.tif - AverageVulnerabilityUncertainty_OHPs.tif - AverageVulnerabilityUncertainty_Pathogens.tif - AverageVulnerabilityUncertainty_Unicellular.tif - AverageVulnerabilityUncertainty_Yeasts.tif - AverageVulnerability_Unicellular.tif - AverageVulnerability_Yeasts.tif The relative importance of predicted vulnerability of all fungi - RelativeImportanceOfVulnerability_AllFungi.tif Vulnerability to drought, heat, and land cover change for all fungi - Vulnerability_AllFungi_Heat-Drought-LandCoverChange.tif - VulnerabilityUncertainty_AllFungi_Heat-Drought-LandCoverChange.tif Human footprint index based on the Land-Use Harmonisation (LUH2; Hurtt et al., 2020, doi:10.5194/gmd-13-5425-2020) - `LandCoverChange_1960-2015.tif` MD5 checksums for all files (`MD5.md5`) Fungal groups: - AM, arbuscular mycorrhizal fungi (including all Glomeromycota but excluding all Endogonomycetes) - EcM, ectomycorrhizal fungi (excluding dubious lineages) - NonEcMAgaricomycetes, non-EcM Agaricomycetes (mostly saprotrophic fungi with usually macroscopic fruiting bodies) - Moulds (including Mortierellales, Mucorales, Umbelopsidales and Aspergillaceae and Trichocomaceae of Eurotiales and Trichoderma of Hypocreales) - Putative pathogens (including plant, animal and fungal pathogens as primary or secondary lifestyles) - OHPs, opportunistic human parasites (excluding Mortierellales) - Yeasts (excluding dimorphic yeasts) - Unicellular, other unicellular (non-yeast) fungi (including chytrids, aphids, rozellids and other early-diverging fungal lineages) Detailed processing steps can be found here: https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability This repository contains the data associated with the paper Tedersoo et al. (2022) Global patterns in endemicity and vulnerability of soil fungi // Global Change Biology. DOI:10.1111/gcb.16398 Fungi are highly diverse organisms and provide a wealth of ecosystem functions. However, distribution patterns and conservation needs of fungi have been very little explored compared to charismatic animals and plants. Here we assess endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high-resolution, long-read metabarcoding approach. Endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West-Central Africa, Sri Lanka and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are vulnerable mostly to drought, heat and land cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests and woodlands. We suggest that there should be more attention focused on the conservation of fungi, especially tropical root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi, unicellular early-diverging groups and macrofungi in general. Given the low overlap between endemicity of fungi and macroorganisms, but high matching in conservation needs, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms in general.
ZENODO arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Flemish Research Information SpaceDatasetLicense: Dataset LicencesData sources: Flemish Research Information Spaceadd 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 2020 QatarPublisher:Elsevier Inc. Authors: Abdu, Hassan Idris; Eid, Kamel; Abdullah, Aboubakr M.; Lu, Xiaoquan;handle: 10576/34693
The presented article reports the preparation and characterization of heterogeneous carbon catalyst enriched with carboxylic group denoted as (ECS) from Eucalyptus as an efficient catalyst for the hydrolysis of woody Eucalyptus biomass. The fabrication process is based on the ball milling of Eucalyptus as a carbon source in the presence of dry ice as an oxidizing agent followed by acidification with the assistance of hydrochloric acid. The data are including the schematic for the full synthesis steps and characterization tools in addition to the thermogravimetric analysis and proton nuclear magnetic resonance analysis for the ECS catalyst. Meanwhile, the catalytic performance of ECS catalyst towards the hydrolysis of Eucalyptus was measured under different temperatures ranged from 160 to 200 °C. The ECS catalyst allowed the selective hydrolysis of Eucalyptus to glucose and xylose, as proved by high-performance liquid chromatography. The data herein are associated with the article entitled “ Unveiling one-pot fabrication of scalable and reusable carboxylated heterogeneous carbon-based catalyst from Eucalyptus plant with the assistance of dry Ice for selective hydrolysis of Eucalyptus Biomass’’ [1]. This work was supported by the Natural Science Foundation of China (Grant Nos. 21575115 , 21327005 ); Program for Chang Jiang Scholars and Innovative Research Team, Ministry of Education, China (Grant No. IRT-16R61, 2017D-01); the Program of Innovation and Entrepreneurial for Talent, Lanzhou, Gansu Province, China (Grant No. 2014-RC-39). This publication was supported by Qatar University Internal Grant No. Project QUCG-CAM-20/21-2. The findings achieved herein are solely the responsibility of the authors.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 QatarPublisher:Elsevier Inc. Authors: Abdu, Hassan Idris; Eid, Kamel; Abdullah, Aboubakr M.; Lu, Xiaoquan;handle: 10576/34693
The presented article reports the preparation and characterization of heterogeneous carbon catalyst enriched with carboxylic group denoted as (ECS) from Eucalyptus as an efficient catalyst for the hydrolysis of woody Eucalyptus biomass. The fabrication process is based on the ball milling of Eucalyptus as a carbon source in the presence of dry ice as an oxidizing agent followed by acidification with the assistance of hydrochloric acid. The data are including the schematic for the full synthesis steps and characterization tools in addition to the thermogravimetric analysis and proton nuclear magnetic resonance analysis for the ECS catalyst. Meanwhile, the catalytic performance of ECS catalyst towards the hydrolysis of Eucalyptus was measured under different temperatures ranged from 160 to 200 °C. The ECS catalyst allowed the selective hydrolysis of Eucalyptus to glucose and xylose, as proved by high-performance liquid chromatography. The data herein are associated with the article entitled “ Unveiling one-pot fabrication of scalable and reusable carboxylated heterogeneous carbon-based catalyst from Eucalyptus plant with the assistance of dry Ice for selective hydrolysis of Eucalyptus Biomass’’ [1]. This work was supported by the Natural Science Foundation of China (Grant Nos. 21575115 , 21327005 ); Program for Chang Jiang Scholars and Innovative Research Team, Ministry of Education, China (Grant No. IRT-16R61, 2017D-01); the Program of Innovation and Entrepreneurial for Talent, Lanzhou, Gansu Province, China (Grant No. 2014-RC-39). This publication was supported by Qatar University Internal Grant No. Project QUCG-CAM-20/21-2. The findings achieved herein are solely the responsibility of the authors.
Qatar University Ins... arrow_drop_down Qatar University Institutional RepositoryDataset . 2020Data sources: Qatar University Institutional RepositoryQatar University: QU Institutional RepositoryDatasetData sources: Bielefeld Academic Search Engine (BASE)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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