Madon, Maël; Madon, Maël
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMadon, Maël in OpenAIRE Lago, Patricia; Lago, Patricia
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLago, Patricia in OpenAIREThis dataset is published for transparency and open data purposes, as part of the work "'We are always on, is that really necessary?' Exploring the Path to Digital Sufficiency in Flexible Work" published at ICT4S 2023 conference. The study: We conducted three focus groups with a total of 11 participants, inside two different companies. Our aim was to investigate the notion of digital sufficiency in the context of flexible work. Content: Preliminary interview guide.pdf: the interview guide containing the questions for the preliminary interview Focus group slides.pdf: the slides presented to the participants of the three focus groups Focus group participant print-outs.pdf: the sheets distributed to the participants of the three focus groups, for individual note-taking Codebook.xlsx: the codes extracted (with the help of the software Saturate) from the transcripts of the three focus groups: tab CODEBOOK: the codes, sorted by three levels and by research question, along with their definition and a description on when the code is applicable, tab Code Count: the number of occurrence of each code in the transcripts, tab Clustering Tactics: the thematic analysis performed on the codes with level 1 "tactic". Corresponds to the Table III in the paper For privacy reason, all names are removed and the transcript and audio recording are not part of this replication package.
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Powered by BIP!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.<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.7645519&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Madon, Maël;
Madon, Maël
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMadon, Maël in OpenAIRE Lago, Patricia; Lago, Patricia
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLago, Patricia in OpenAIREThis dataset is published for transparency and open data purposes, as part of the work "'We are always on, is that really necessary?' Exploring the Path to Digital Sufficiency in Flexible Work" published at ICT4S 2023 conference. The study: We conducted three focus groups with a total of 11 participants, inside two different companies. Our aim was to investigate the notion of digital sufficiency in the context of flexible work. Content: Preliminary interview guide.pdf: the interview guide containing the questions for the preliminary interview Focus group slides.pdf: the slides presented to the participants of the three focus groups Focus group participant print-outs.pdf: the sheets distributed to the participants of the three focus groups, for individual note-taking Codebook.xlsx: the codes extracted (with the help of the software Saturate) from the transcripts of the three focus groups: tab CODEBOOK: the codes, sorted by three levels and by research question, along with their definition and a description on when the code is applicable, tab Code Count: the number of occurrence of each code in the transcripts, tab Clustering Tactics: the thematic analysis performed on the codes with level 1 "tactic". Corresponds to the Table III in the paper For privacy reason, all names are removed and the transcript and audio recording are not part of this replication package.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.7645519&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jansen, Laura;
Jansen, Laura
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJansen, Laura in OpenAIRE van Loo, Ellen; van Loo, Ellen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Loo, Ellen in OpenAIRE Bennin, Kwabena; Bennin, Kwabena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBennin, Kwabena in OpenAIRE van Kleef, Ellen; van Kleef, Ellen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Kleef, Ellen in OpenAIREThis study aims to identify opportunities and barriers in developing and implementing Food Shopping Support Systems (FSSS) for healthier and more sustainable choices, given the growing consumer demand and persistent societal problems related to food. The study examined the social and technical value of FSSS in an early development stage through one-on-one expert interviews (n=20) and consumer focus groups (4 groups, n=19).
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.8164318&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Jansen, Laura;
Jansen, Laura
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJansen, Laura in OpenAIRE van Loo, Ellen; van Loo, Ellen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Loo, Ellen in OpenAIRE Bennin, Kwabena; Bennin, Kwabena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBennin, Kwabena in OpenAIRE van Kleef, Ellen; van Kleef, Ellen
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Kleef, Ellen in OpenAIREThis study aims to identify opportunities and barriers in developing and implementing Food Shopping Support Systems (FSSS) for healthier and more sustainable choices, given the growing consumer demand and persistent societal problems related to food. The study examined the social and technical value of FSSS in an early development stage through one-on-one expert interviews (n=20) and consumer focus groups (4 groups, n=19).
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.8164318&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| MAGICMatthews, K.B.; Blackstock, K.L.;
Blackstock, K.L.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBlackstock, K.L. in OpenAIRE Waylen, K.A.; Waylen, K.A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWaylen, K.A. in OpenAIRE Juarez-Bourke, A.; +9 AuthorsJuarez-Bourke, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJuarez-Bourke, A. in OpenAIREMatthews, K.B.; Blackstock, K.L.; Blackstock, K.L.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBlackstock, K.L. in OpenAIRE Waylen, K.A.; Waylen, K.A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWaylen, K.A. in OpenAIRE Juarez-Bourke, A.; Miller, D.G.;Juarez-Bourke, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJuarez-Bourke, A. in OpenAIRE Wardell-Johnson, D.H.; Wardell-Johnson, D.H.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWardell-Johnson, D.H. in OpenAIRE Rivington, M.; Rivington, M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRivington, M. in OpenAIRE Hague, A.; Fisher, D.;Hague, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHague, A. in OpenAIRE Renner, A.; Renner, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRenner, A. in OpenAIRE Cadillo-Benalcazar, J.; Cadillo-Benalcazar, J.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCadillo-Benalcazar, J. in OpenAIRE Schyns, J.; Schyns, J.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSchyns, J. in OpenAIRE Giampietro, M.; Giampietro, M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGiampietro, M. in OpenAIREThis repository contains datasets used in the production of figures contained in MAGIC Deliverable 5.1 Matthews K.B. (Hutton), Blackstock K.L. (Hutton), Waylen K.A. (Hutton), Juarez-Bourke A. (Hutton) Miller D.G. (Hutton), Wardell-Johnson D.H. (Hutton), Rivington M. (Hutton), Hague A. (Hutton), Fisher D. (Hutton), Renner A. (UAB), Cadillo-Benalzacar J. (UAB), Schyns J. (UT), Giampietro M. (UAB) MAGIC (H2020-GA 689669) Project Deliverable 5.1 - July 2020 MAGIC Deliverable 5.1
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.4147094&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| MAGICMatthews, K.B.; Blackstock, K.L.;
Blackstock, K.L.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBlackstock, K.L. in OpenAIRE Waylen, K.A.; Waylen, K.A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWaylen, K.A. in OpenAIRE Juarez-Bourke, A.; +9 AuthorsJuarez-Bourke, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJuarez-Bourke, A. in OpenAIREMatthews, K.B.; Blackstock, K.L.; Blackstock, K.L.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBlackstock, K.L. in OpenAIRE Waylen, K.A.; Waylen, K.A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWaylen, K.A. in OpenAIRE Juarez-Bourke, A.; Miller, D.G.;Juarez-Bourke, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJuarez-Bourke, A. in OpenAIRE Wardell-Johnson, D.H.; Wardell-Johnson, D.H.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWardell-Johnson, D.H. in OpenAIRE Rivington, M.; Rivington, M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRivington, M. in OpenAIRE Hague, A.; Fisher, D.;Hague, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHague, A. in OpenAIRE Renner, A.; Renner, A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesRenner, A. in OpenAIRE Cadillo-Benalcazar, J.; Cadillo-Benalcazar, J.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCadillo-Benalcazar, J. in OpenAIRE Schyns, J.; Schyns, J.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSchyns, J. in OpenAIRE Giampietro, M.; Giampietro, M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesGiampietro, M. in OpenAIREThis repository contains datasets used in the production of figures contained in MAGIC Deliverable 5.1 Matthews K.B. (Hutton), Blackstock K.L. (Hutton), Waylen K.A. (Hutton), Juarez-Bourke A. (Hutton) Miller D.G. (Hutton), Wardell-Johnson D.H. (Hutton), Rivington M. (Hutton), Hague A. (Hutton), Fisher D. (Hutton), Renner A. (UAB), Cadillo-Benalzacar J. (UAB), Schyns J. (UT), Giampietro M. (UAB) MAGIC (H2020-GA 689669) Project Deliverable 5.1 - July 2020 MAGIC Deliverable 5.1
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.4147094&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Chia, Shaphan Yong;
Chia, Shaphan Yong
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChia, Shaphan Yong in OpenAIRE Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim; +7 AuthorsTanga, Chrysantus M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTanga, Chrysantus M in OpenAIRE Chia, Shaphan Yong; Chia, Shaphan Yong
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChia, Shaphan Yong in OpenAIRE Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim;Tanga, Chrysantus M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTanga, Chrysantus M in OpenAIRE Salifu, Daisy; Salifu, Daisy
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSalifu, Daisy in OpenAIRE Sevgan, Subramanian; Sevgan, Subramanian
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSevgan, Subramanian in OpenAIRE Fiaboe, Komi K M; Niassy, Saliou;Fiaboe, Komi K M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFiaboe, Komi K M in OpenAIRE van Loon, Joop J A; van Loon, Joop J A
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Loon, Joop J A in OpenAIRE Dicke, Marcel; Dicke, Marcel
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDicke, Marcel in OpenAIRE Ekesi, Sunday; Ekesi, Sunday
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEkesi, Sunday in OpenAIREEfforts to recycle organic wastes using black soldier fly (BSF) Hermetia illucens into high-nutrient biomass that constitutes a sustainable fat (biodiesel) and high-quality protein ingredient in animal feeds have recently gained momentum worldwide. However, there is little information on the most suitable rearing conditions for growth, development and survivorship of these flies, which is a prerequisite for mass production technologies. We evaluated the physiological requirements for growth and reproduction of H. illucens on two diets [spent grains supplemented with brewers' yeast (D1) and un-supplemented (D2)]. Development rates at nine constant temperatures (10 - 42°C) were fitted to temperature-dependent linear and non-linear day-degree models. Thereafter, life history table parameters were determined within a range of favourable temperatures. The thermal maximum (TM) estimates for larval, pre-pupal and pupal development using non-linear model ranged between 37.2 ± 0.3 and 44.0 ± 2.3°C. The non-linear and linear day-degree model estimations of lower developmental temperature threshold for larvae were 11.7 ± 0.9 and 12.3 ± 1.4 °C for D1, and 10.4 ± 1.7 and 11.7 ± 3.0 °C for D2, respectively. The estimated thermal constant of immature life stages development of BSF was higher for the larval stage (250±25 DD for D1 and 333±51 for D2) than the other stages evaluated. Final larval wet weight was higher on D1 compared to D2. The population growth rate was most favourable at 30-degree celsius (°C) with higher intrinsic rate of natural increase (r_m=0.127 for D1 and 0.122 for D2) and shorter doubling time (5.5 days for D1 and 5.7 days for D2) compared to the other temperatures. These results are valuable for the optimization of commercial mass rearing procedures of BSF under various environmental conditions and prediction of population dynamics patterns using computer simulation models. Supplement to: Chia, Shaphan Yong; Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim; Salifu, Daisy; Sevgan, Subramanian; Fiaboe, Komi K M; Niassy, Saliou; van Loon, Joop J A; Dicke, Marcel; Ekesi, Sunday (2018): Threshold temperatures and thermal requirements of black soldier fly Hermetia illucens: Implications for mass production. PLoS ONE, 13(11), e0206097
1 citations 1 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.1594/pangaea.895274&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Chia, Shaphan Yong;
Chia, Shaphan Yong
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChia, Shaphan Yong in OpenAIRE Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim; +7 AuthorsTanga, Chrysantus M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTanga, Chrysantus M in OpenAIRE Chia, Shaphan Yong; Chia, Shaphan Yong
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesChia, Shaphan Yong in OpenAIRE Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim;Tanga, Chrysantus M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTanga, Chrysantus M in OpenAIRE Salifu, Daisy; Salifu, Daisy
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSalifu, Daisy in OpenAIRE Sevgan, Subramanian; Sevgan, Subramanian
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSevgan, Subramanian in OpenAIRE Fiaboe, Komi K M; Niassy, Saliou;Fiaboe, Komi K M
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesFiaboe, Komi K M in OpenAIRE van Loon, Joop J A; van Loon, Joop J A
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan Loon, Joop J A in OpenAIRE Dicke, Marcel; Dicke, Marcel
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDicke, Marcel in OpenAIRE Ekesi, Sunday; Ekesi, Sunday
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesEkesi, Sunday in OpenAIREEfforts to recycle organic wastes using black soldier fly (BSF) Hermetia illucens into high-nutrient biomass that constitutes a sustainable fat (biodiesel) and high-quality protein ingredient in animal feeds have recently gained momentum worldwide. However, there is little information on the most suitable rearing conditions for growth, development and survivorship of these flies, which is a prerequisite for mass production technologies. We evaluated the physiological requirements for growth and reproduction of H. illucens on two diets [spent grains supplemented with brewers' yeast (D1) and un-supplemented (D2)]. Development rates at nine constant temperatures (10 - 42°C) were fitted to temperature-dependent linear and non-linear day-degree models. Thereafter, life history table parameters were determined within a range of favourable temperatures. The thermal maximum (TM) estimates for larval, pre-pupal and pupal development using non-linear model ranged between 37.2 ± 0.3 and 44.0 ± 2.3°C. The non-linear and linear day-degree model estimations of lower developmental temperature threshold for larvae were 11.7 ± 0.9 and 12.3 ± 1.4 °C for D1, and 10.4 ± 1.7 and 11.7 ± 3.0 °C for D2, respectively. The estimated thermal constant of immature life stages development of BSF was higher for the larval stage (250±25 DD for D1 and 333±51 for D2) than the other stages evaluated. Final larval wet weight was higher on D1 compared to D2. The population growth rate was most favourable at 30-degree celsius (°C) with higher intrinsic rate of natural increase (r_m=0.127 for D1 and 0.122 for D2) and shorter doubling time (5.5 days for D1 and 5.7 days for D2) compared to the other temperatures. These results are valuable for the optimization of commercial mass rearing procedures of BSF under various environmental conditions and prediction of population dynamics patterns using computer simulation models. Supplement to: Chia, Shaphan Yong; Tanga, Chrysantus M; Khamis, Fathiya Mbarak; Mohamed, Samira Abuelgasim; Salifu, Daisy; Sevgan, Subramanian; Fiaboe, Komi K M; Niassy, Saliou; van Loon, Joop J A; Dicke, Marcel; Ekesi, Sunday (2018): Threshold temperatures and thermal requirements of black soldier fly Hermetia illucens: Implications for mass production. PLoS ONE, 13(11), e0206097
1 citations 1 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.1594/pangaea.895274&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Marcé, Rafael;
Marcé, Rafael
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarcé, Rafael in OpenAIRE
Mercado, Daniel; Mercado, Daniel
Harvested from ORCID Public Data FileMercado, Daniel in OpenAIRE Vanderkelen, Inne; Vanderkelen, Inne
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVanderkelen, Inne in OpenAIRE Tigli, Maddalena; +7 AuthorsTigli, Maddalena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTigli, Maddalena in OpenAIRE Marcé, Rafael; Marcé, Rafael
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarcé, Rafael in OpenAIRE Mercado, Daniel; Mercado, Daniel
Harvested from ORCID Public Data FileMercado, Daniel in OpenAIRE Vanderkelen, Inne; Vanderkelen, Inne
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVanderkelen, Inne in OpenAIRE Tigli, Maddalena; Tigli, Maddalena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTigli, Maddalena in OpenAIRE Janssen, Annette B. G.; Kraemer, Benjamin; Piccolroaz, Sebastiano;Janssen, Annette B. G.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJanssen, Annette B. G. in OpenAIRE Thiery, Wim; Thiery, Wim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThiery, Wim in OpenAIRE Woolway, R. Iestyn; Yaghouti, Mahtab;Woolway, R. Iestyn
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWoolway, R. Iestyn in OpenAIRE Pierson, Don; Pierson, Don
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPierson, Don in OpenAIREEmpirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven projections of future climate for a relatively small number of lakes. As a result, our understanding of the effects of climate change on lakes is fragmentary, based on scattered studies using different data sources and modelling protocols, and mainly focused on individual lakes or lake regions. This has precluded identification of the main impacts of climate change on lakes at global and regional scales and has likely contributed to the lack of lake water quality considerations in policy-relevant documents, such as the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). The Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) was founded for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios. The protocol prescribes lake simulations driven by climate forcing from gridded observations and different Earth system models under various Representative Greenhouse Gas Concentration Pathways, all consistently bias-corrected on a 0.5° × 0.5° global grid. The ISIMIP Lake Sector is the largest international effort to project future water temperature, thermal structure, and ice phenology of lakes at local and global scales and paves the way for future simulations of the impacts of climate change on water quality and biogeochemistry in lakes. For a comprehensive description of ISIMIP, sectors, and protocols please see https://www.isimip.org/ In order to simulate the impacts of climate change on lakes worldwide, the ISIMIP3 Lake Sector protocol has defined a set of lakes to be modelled by all participating lake models, as well as the basic morphometry (i.e., hypsographic curves) information for each lake. This repository includes all calculations performed to obtain the final set of lake location and mosphometry inpput information for ISIMIP3 runs. For this, available datasets on global lake extension and morphometry were used first for selecting a set of representative lakes on Earth (~40000 lakes, one for each 0.5º pixel of the normalized input/putput grid for ISIMIP across sectors), and then morphological characteristics were assigned to each representative lake using a database on global lake morphology. The final set of files constitute the input data for lake morphology and location for ISIMIP3 Lake Sector runs, which are produced in netCDF format. {"references": ["https://www.hydrosheds.org/pages/hydrolakes", "https://doi.org/10.1038/ncomms13603", "https://doi.org/10.6084/m9.figshare.c.5243309.v1", "https://doi.org/10.1038/s41597-022-01132-9"]}
1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!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.<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.6457813&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Marcé, Rafael;
Marcé, Rafael
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarcé, Rafael in OpenAIRE Mercado, Daniel; Mercado, Daniel
Harvested from ORCID Public Data FileMercado, Daniel in OpenAIRE Vanderkelen, Inne; Vanderkelen, Inne
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVanderkelen, Inne in OpenAIRE Tigli, Maddalena; +7 AuthorsTigli, Maddalena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTigli, Maddalena in OpenAIRE Marcé, Rafael; Marcé, Rafael
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMarcé, Rafael in OpenAIRE Mercado, Daniel; Mercado, Daniel
Harvested from ORCID Public Data FileMercado, Daniel in OpenAIRE Vanderkelen, Inne; Vanderkelen, Inne
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVanderkelen, Inne in OpenAIRE Tigli, Maddalena; Tigli, Maddalena
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesTigli, Maddalena in OpenAIRE Janssen, Annette B. G.; Kraemer, Benjamin; Piccolroaz, Sebastiano;Janssen, Annette B. G.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesJanssen, Annette B. G. in OpenAIRE Thiery, Wim; Thiery, Wim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesThiery, Wim in OpenAIRE Woolway, R. Iestyn; Yaghouti, Mahtab;Woolway, R. Iestyn
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesWoolway, R. Iestyn in OpenAIRE Pierson, Don; Pierson, Don
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPierson, Don in OpenAIREEmpirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven projections of future climate for a relatively small number of lakes. As a result, our understanding of the effects of climate change on lakes is fragmentary, based on scattered studies using different data sources and modelling protocols, and mainly focused on individual lakes or lake regions. This has precluded identification of the main impacts of climate change on lakes at global and regional scales and has likely contributed to the lack of lake water quality considerations in policy-relevant documents, such as the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). The Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) was founded for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios. The protocol prescribes lake simulations driven by climate forcing from gridded observations and different Earth system models under various Representative Greenhouse Gas Concentration Pathways, all consistently bias-corrected on a 0.5° × 0.5° global grid. The ISIMIP Lake Sector is the largest international effort to project future water temperature, thermal structure, and ice phenology of lakes at local and global scales and paves the way for future simulations of the impacts of climate change on water quality and biogeochemistry in lakes. For a comprehensive description of ISIMIP, sectors, and protocols please see https://www.isimip.org/ In order to simulate the impacts of climate change on lakes worldwide, the ISIMIP3 Lake Sector protocol has defined a set of lakes to be modelled by all participating lake models, as well as the basic morphometry (i.e., hypsographic curves) information for each lake. This repository includes all calculations performed to obtain the final set of lake location and mosphometry inpput information for ISIMIP3 runs. For this, available datasets on global lake extension and morphometry were used first for selecting a set of representative lakes on Earth (~40000 lakes, one for each 0.5º pixel of the normalized input/putput grid for ISIMIP across sectors), and then morphological characteristics were assigned to each representative lake using a database on global lake morphology. The final set of files constitute the input data for lake morphology and location for ISIMIP3 Lake Sector runs, which are produced in netCDF format. {"references": ["https://www.hydrosheds.org/pages/hydrolakes", "https://doi.org/10.1038/ncomms13603", "https://doi.org/10.6084/m9.figshare.c.5243309.v1", "https://doi.org/10.1038/s41597-022-01132-9"]}
1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!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.<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.6457813&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| FULFILL Alexander-Haw, Abigail;
Alexander-Haw, Abigail
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlexander-Haw, Abigail in OpenAIRE Dütschke, Elisabeth; Dütschke, Elisabeth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDütschke, Elisabeth in OpenAIRE Helferich, Marvin; Helferich, Marvin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHelferich, Marvin in OpenAIRE Preuß, Sabine; +1 AuthorsPreuß, Sabine
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPreuß, Sabine in OpenAIRE Alexander-Haw, Abigail; Alexander-Haw, Abigail
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlexander-Haw, Abigail in OpenAIRE Dütschke, Elisabeth; Dütschke, Elisabeth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDütschke, Elisabeth in OpenAIRE Helferich, Marvin; Helferich, Marvin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHelferich, Marvin in OpenAIRE Preuß, Sabine; Preuß, Sabine
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPreuß, Sabine in OpenAIRE Schleich, Joachim; Schleich, Joachim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSchleich, Joachim in OpenAIREThis dataset and codebook correspond to the initial round of survey data gathered in Italy in 2022, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.13341244&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| FULFILL Alexander-Haw, Abigail;
Alexander-Haw, Abigail
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlexander-Haw, Abigail in OpenAIRE Dütschke, Elisabeth; Dütschke, Elisabeth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDütschke, Elisabeth in OpenAIRE Helferich, Marvin; Helferich, Marvin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHelferich, Marvin in OpenAIRE Preuß, Sabine; +1 AuthorsPreuß, Sabine
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPreuß, Sabine in OpenAIRE Alexander-Haw, Abigail; Alexander-Haw, Abigail
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlexander-Haw, Abigail in OpenAIRE Dütschke, Elisabeth; Dütschke, Elisabeth
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesDütschke, Elisabeth in OpenAIRE Helferich, Marvin; Helferich, Marvin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHelferich, Marvin in OpenAIRE Preuß, Sabine; Preuß, Sabine
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPreuß, Sabine in OpenAIRE Schleich, Joachim; Schleich, Joachim
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSchleich, Joachim in OpenAIREThis dataset and codebook correspond to the initial round of survey data gathered in Italy in 2022, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.13341244&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 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.<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=10.5061/dryad.6hf6b&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euadd 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.<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=10.5061/dryad.6hf6b&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- NWO| ENabling LARGE-scale integration of technology hubs to enhance community resiliency via DDS in various urban FWE nexuses ,EC| EXPAND IIKaandorp, Chelsea; van de Giesen, N.C. (Nick); Abraham, Edo;
van de Giesen, N.C. (Nick)
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan de Giesen, N.C. (Nick) in OpenAIREThis workbook includes calculations and input data on for the study presented in 'The water use of heating pathways to 2050: analysis of national and urban energy scenarios'.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.4121/22257079&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NWO| ENabling LARGE-scale integration of technology hubs to enhance community resiliency via DDS in various urban FWE nexuses ,EC| EXPAND IIKaandorp, Chelsea; van de Giesen, N.C. (Nick); Abraham, Edo;
van de Giesen, N.C. (Nick)
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesvan de Giesen, N.C. (Nick) in OpenAIREThis workbook includes calculations and input data on for the study presented in 'The water use of heating pathways to 2050: analysis of national and urban energy scenarios'.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.4121/22257079&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Muntjewerf, Laura;
Muntjewerf, Laura
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMuntjewerf, Laura in OpenAIRE Bintanja, Richard; Bintanja, Richard
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBintanja, Richard in OpenAIRE Reerink, Thomas; Reerink, Thomas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesReerink, Thomas in OpenAIRE Van der Wiel, Karin; Van der Wiel, Karin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVan der Wiel, Karin in OpenAIRE1. Contents Available variables in KNMI-LENTIS request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt Where is the data deposited on the ECWMF's tape storage (section 4) LENTIS_on_ECFS.zip Data of all variables for 1 year for 1 ensemble member (section 5) tree_of_files_one_member_all_data.txt {AERmon,Amon,Emon,LImon,Lmon,Ofx,Omon,SImon,fx,Eday,Oday,day,CFday,3hr,6hrPlev,6hrPlevPt}.zip 2. Description of this Zenodo dataset This Zenodo dataset pertains to the full KNMI-LENTIS dataset: a large ensemble of simulations with the Global Climate Model EC-Earth3. The periods are for the present-day period (2000-2009) and a future +2K period (2075-2084 following SSP2-4.5). KNMI-LENTIS has 1600 simulated years for both the two climates. This level of sampled climate variability allows for robust and in-depth research into extreme events. The available variables are listed in the file request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt. All variables are cmorised following CMIP6 data format convention. Further details on the variables and their output dimensions is available via the following search tool. The total size of KNMI-LENTIS is 128 TB. KNMI-LENTIS is stored at the high performance storage system of the ECMWF (ECFS). The Global Climate Model that is used for generating this Large Ensemble is EC-Earth3 - VAREX project branch https://svn.ec-earth.org/ecearth3/branches/projects/varex (access restricted to ECMWF members). The goal of this Zenodo dataset is : to provide an accurate description and example of how the KNMI-LENTIS dataset is organised. to describe in which servers the data are deposited and how to gain access to the data for future users to provide links to related git repositories and other content relating to the KNMI-LENTIS production 3. How KNMI-LENTIS is organised KNMI-LENTIS consists of 2 times 160 runs of 10 years. All simulations have a unique ensemble member label that reflects the forcing, and how the initial conditions are generated. The initial conditions have two aspects: the parent simulation from which the run is branched (macro perturbation, there are 16), and the seed relating to a particular micro-perturbation in the initial three-dimensional atmosphere temperature field (there are 10). The ensemble member label thus is a combination of: forcing (h for present-day/historical and s for +2K/SSP2-4.5) parent ID (number between 1 and 16) micro perturbation ID (number between 0 and 9) In this Zenodo dataset we publish 1 year from 1 member to give insight into the type of data and metadata that is representative of the full KNMI-LENTIS dataset. The published data is year 2000 from member h010. See Section 4 Further, all KNMI-LENTIS simulations are labeled per the CMIP6 convention of variant labelling. A variant label is made from four components: the realization index r, the initialization index i, the physics index p and the forcing index f. Further details on CMIP6 variant labelling be found in The CMIP6 Participation Guidance for Modelers. In the KNMI-LENTIS data set, the forcing is reflected in the first digit of the realization index r of the variant label. For the historical simulations, the one thousands (r1000-r1999) have been reserved. For the SSP2-4.5 the five thousands (r5000-r5999) have been reserved. The parent is reflected in the second and third digit of the realization index r of the variant label (r?01?-r?16?). The seed is reflected in the fourth digit of the realization index r: (r???0-r???9). The seed is also reflected in the initialization index i of the variant label (i0-i9), so this is double information. The physics index p5 has been reserved for the ECE3p5 version: all KNMI-LENTIS simulations have the p5 label. The forcing index f of the variant label is kept at 1 for all KNMI-LENTIS simulations. As an example, variant label r5119i9p5f1 refers to: the 2K time slice with parent 11 and randomizing seed number 9. The physics index is 5, meaning the run is done with the ECE3p5 version of EC-Earth3. 4. Where is the data deposited on the ECWMF's tape storage In this Zenodo folder, there are several text files and several netcdf files. The text files provide Data from KNMI-LENTIS is deposited in the ECMWF ECFS tape storage system. Data can be freely downloaded by to those who have access to the ECMWF ECFS. Else, the data can be made available by the authors upon request. The way the dataset is organised is detailed in LENTIS_on_ECFS.zip. This contains details on all available KNMI-LENTIS files, in particular details for how these are filed in ECFS. The files on ECFS are tar zipped per ensemble member & variable: these contain 10 years of ensemble member data (10 separate netcdf files). The location on ECFS of the tar-zipped files that are listed in the various text files in this Zenodo dataset is ec:/nklm/LENTIS/ec-earth/cmorised_by_var/ #!/bin/bash #------------------- # script to write out LENTIS details on ECFS #------------------- for freq in AERmon Amon Emon LImon Lmon Ofx Omon SImon fx Eday Oday day CFday 3hr 6hrPlev 6hrPlevPt; do for scen in hxxx sxxx; do els -l ec:/nklm/LENTIS/ec-earth/cmorised_by_var/${scen}/${freq}/* >> LENTIS_on_ECFS_${scen}_${freq}.txt done done Further, part of the data will be made publicly available from the Earth System Grid Federation (ESGF) data portal. We aim to upload most of the monthly variables for the full ensemble. As search terms use EC-Earth for model and p5 for physical index to locate the KNMI-LENTIS data. 5. Data of all variables for 1 year for 1 ensemble member The netcdf files of the data of 1 year from 1 member h010 are published here to give insight into the type of data and metadata that is representative of the full KNMI-LENTIS dataset. The data are in zipped folders per output frequencies: AERmon, Amon, Emon, LImon, Lmon, Ofx, Omon, SImon, fx, Eday, Oday, day, CFday, 3hr, 6hrPlev, 6hrPlevPt. The text file request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt gives an overview of variables available per output frequency. the text files tree_of_files_one_member_all_data.txt gives an overview of the files in the zipped folders. 6. Related links The production of the KNMI-LENTIS ensemble was funded by the KNMI (Royal Dutch Meteorological Institute) multi-year strategic research fund KNMI MSO Climate Variability And Extremes (VAREX) GitHub repository corresponding to this Zenodo dataset: https://github.com/lmuntjewerf/KNMI-LENTIS_dataset_description.git Github repository for KNMI-LENTIS production code: https://github.com/lmuntjewerf/KNMI-LENTIS_production_script_train.git
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.<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.7573136&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Muntjewerf, Laura;
Muntjewerf, Laura
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMuntjewerf, Laura in OpenAIRE Bintanja, Richard; Bintanja, Richard
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBintanja, Richard in OpenAIRE Reerink, Thomas; Reerink, Thomas
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesReerink, Thomas in OpenAIRE Van der Wiel, Karin; Van der Wiel, Karin
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVan der Wiel, Karin in OpenAIRE1. Contents Available variables in KNMI-LENTIS request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt Where is the data deposited on the ECWMF's tape storage (section 4) LENTIS_on_ECFS.zip Data of all variables for 1 year for 1 ensemble member (section 5) tree_of_files_one_member_all_data.txt {AERmon,Amon,Emon,LImon,Lmon,Ofx,Omon,SImon,fx,Eday,Oday,day,CFday,3hr,6hrPlev,6hrPlevPt}.zip 2. Description of this Zenodo dataset This Zenodo dataset pertains to the full KNMI-LENTIS dataset: a large ensemble of simulations with the Global Climate Model EC-Earth3. The periods are for the present-day period (2000-2009) and a future +2K period (2075-2084 following SSP2-4.5). KNMI-LENTIS has 1600 simulated years for both the two climates. This level of sampled climate variability allows for robust and in-depth research into extreme events. The available variables are listed in the file request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt. All variables are cmorised following CMIP6 data format convention. Further details on the variables and their output dimensions is available via the following search tool. The total size of KNMI-LENTIS is 128 TB. KNMI-LENTIS is stored at the high performance storage system of the ECMWF (ECFS). The Global Climate Model that is used for generating this Large Ensemble is EC-Earth3 - VAREX project branch https://svn.ec-earth.org/ecearth3/branches/projects/varex (access restricted to ECMWF members). The goal of this Zenodo dataset is : to provide an accurate description and example of how the KNMI-LENTIS dataset is organised. to describe in which servers the data are deposited and how to gain access to the data for future users to provide links to related git repositories and other content relating to the KNMI-LENTIS production 3. How KNMI-LENTIS is organised KNMI-LENTIS consists of 2 times 160 runs of 10 years. All simulations have a unique ensemble member label that reflects the forcing, and how the initial conditions are generated. The initial conditions have two aspects: the parent simulation from which the run is branched (macro perturbation, there are 16), and the seed relating to a particular micro-perturbation in the initial three-dimensional atmosphere temperature field (there are 10). The ensemble member label thus is a combination of: forcing (h for present-day/historical and s for +2K/SSP2-4.5) parent ID (number between 1 and 16) micro perturbation ID (number between 0 and 9) In this Zenodo dataset we publish 1 year from 1 member to give insight into the type of data and metadata that is representative of the full KNMI-LENTIS dataset. The published data is year 2000 from member h010. See Section 4 Further, all KNMI-LENTIS simulations are labeled per the CMIP6 convention of variant labelling. A variant label is made from four components: the realization index r, the initialization index i, the physics index p and the forcing index f. Further details on CMIP6 variant labelling be found in The CMIP6 Participation Guidance for Modelers. In the KNMI-LENTIS data set, the forcing is reflected in the first digit of the realization index r of the variant label. For the historical simulations, the one thousands (r1000-r1999) have been reserved. For the SSP2-4.5 the five thousands (r5000-r5999) have been reserved. The parent is reflected in the second and third digit of the realization index r of the variant label (r?01?-r?16?). The seed is reflected in the fourth digit of the realization index r: (r???0-r???9). The seed is also reflected in the initialization index i of the variant label (i0-i9), so this is double information. The physics index p5 has been reserved for the ECE3p5 version: all KNMI-LENTIS simulations have the p5 label. The forcing index f of the variant label is kept at 1 for all KNMI-LENTIS simulations. As an example, variant label r5119i9p5f1 refers to: the 2K time slice with parent 11 and randomizing seed number 9. The physics index is 5, meaning the run is done with the ECE3p5 version of EC-Earth3. 4. Where is the data deposited on the ECWMF's tape storage In this Zenodo folder, there are several text files and several netcdf files. The text files provide Data from KNMI-LENTIS is deposited in the ECMWF ECFS tape storage system. Data can be freely downloaded by to those who have access to the ECMWF ECFS. Else, the data can be made available by the authors upon request. The way the dataset is organised is detailed in LENTIS_on_ECFS.zip. This contains details on all available KNMI-LENTIS files, in particular details for how these are filed in ECFS. The files on ECFS are tar zipped per ensemble member & variable: these contain 10 years of ensemble member data (10 separate netcdf files). The location on ECFS of the tar-zipped files that are listed in the various text files in this Zenodo dataset is ec:/nklm/LENTIS/ec-earth/cmorised_by_var/ #!/bin/bash #------------------- # script to write out LENTIS details on ECFS #------------------- for freq in AERmon Amon Emon LImon Lmon Ofx Omon SImon fx Eday Oday day CFday 3hr 6hrPlev 6hrPlevPt; do for scen in hxxx sxxx; do els -l ec:/nklm/LENTIS/ec-earth/cmorised_by_var/${scen}/${freq}/* >> LENTIS_on_ECFS_${scen}_${freq}.txt done done Further, part of the data will be made publicly available from the Earth System Grid Federation (ESGF) data portal. We aim to upload most of the monthly variables for the full ensemble. As search terms use EC-Earth for model and p5 for physical index to locate the KNMI-LENTIS data. 5. Data of all variables for 1 year for 1 ensemble member The netcdf files of the data of 1 year from 1 member h010 are published here to give insight into the type of data and metadata that is representative of the full KNMI-LENTIS dataset. The data are in zipped folders per output frequencies: AERmon, Amon, Emon, LImon, Lmon, Ofx, Omon, SImon, fx, Eday, Oday, day, CFday, 3hr, 6hrPlev, 6hrPlevPt. The text file request-overview-CMIP-historical-including-EC-EARTH-AOGCM-preferences.txt gives an overview of variables available per output frequency. the text files tree_of_files_one_member_all_data.txt gives an overview of the files in the zipped folders. 6. Related links The production of the KNMI-LENTIS ensemble was funded by the KNMI (Royal Dutch Meteorological Institute) multi-year strategic research fund KNMI MSO Climate Variability And Extremes (VAREX) GitHub repository corresponding to this Zenodo dataset: https://github.com/lmuntjewerf/KNMI-LENTIS_dataset_description.git Github repository for KNMI-LENTIS production code: https://github.com/lmuntjewerf/KNMI-LENTIS_production_script_train.git
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.<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.7573136&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Steidl, Stella;
Steidl, Stella
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteidl, Stella in OpenAIRE Zabala Figueroa, Alejandro; Zabala Figueroa, Alejandro
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesZabala Figueroa, Alejandro in OpenAIRE Peer, Rebecca; Wilkening, Heinz; +3 AuthorsPeer, Rebecca
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeer, Rebecca in OpenAIRE Steidl, Stella; Steidl, Stella
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteidl, Stella in OpenAIRE Zabala Figueroa, Alejandro; Zabala Figueroa, Alejandro
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesZabala Figueroa, Alejandro in OpenAIRE Peer, Rebecca; Wilkening, Heinz;Peer, Rebecca
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeer, Rebecca in OpenAIRE Alhamwi, Dr Alaa; Alhamwi, Dr Alaa
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlhamwi, Dr Alaa in OpenAIRE Medjroubi, Wided; Medjroubi, Wided
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMedjroubi, Wided in OpenAIRE Haas, Jannik; Haas, Jannik
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHaas, Jannik in OpenAIREThis dataset comprises synthetic residential electricity demand profiles at 1-minute resolution for full-year simulations across four cities: Oldenburg and Karlsruhe (Germany), and Auckland and Christchurch (New Zealand). The profiles were generated using the residential load simulator resLoadSIM (developed by the European Commission), which models appliance-level electricity demand based on occupant behaviour, appliance ownership, and statistical usage patterns. For each city, one reference scenario (reflecting the current energy mix) and four future scenarios (representing varying levels of electrification in space heating and electric vehicle adoption) are included. All profiles are city-aggregated and span 525,600 time steps, using 2022 weather data.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.15362256&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Steidl, Stella;
Steidl, Stella
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteidl, Stella in OpenAIRE Zabala Figueroa, Alejandro; Zabala Figueroa, Alejandro
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesZabala Figueroa, Alejandro in OpenAIRE Peer, Rebecca; Wilkening, Heinz; +3 AuthorsPeer, Rebecca
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeer, Rebecca in OpenAIRE Steidl, Stella; Steidl, Stella
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSteidl, Stella in OpenAIRE Zabala Figueroa, Alejandro; Zabala Figueroa, Alejandro
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesZabala Figueroa, Alejandro in OpenAIRE Peer, Rebecca; Wilkening, Heinz;Peer, Rebecca
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPeer, Rebecca in OpenAIRE Alhamwi, Dr Alaa; Alhamwi, Dr Alaa
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesAlhamwi, Dr Alaa in OpenAIRE Medjroubi, Wided; Medjroubi, Wided
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMedjroubi, Wided in OpenAIRE Haas, Jannik; Haas, Jannik
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesHaas, Jannik in OpenAIREThis dataset comprises synthetic residential electricity demand profiles at 1-minute resolution for full-year simulations across four cities: Oldenburg and Karlsruhe (Germany), and Auckland and Christchurch (New Zealand). The profiles were generated using the residential load simulator resLoadSIM (developed by the European Commission), which models appliance-level electricity demand based on occupant behaviour, appliance ownership, and statistical usage patterns. For each city, one reference scenario (reflecting the current energy mix) and four future scenarios (representing varying levels of electrification in space heating and electric vehicle adoption) are included. All profiles are city-aggregated and span 525,600 time steps, using 2022 weather data.
0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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.15362256&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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