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Research data keyboard_double_arrow_right Dataset 2023 NetherlandsPublisher:DANS Data Station Social Sciences and Humanities Authors: Gao, X.; De Hoge, I.E.; Fischer, A.R.H.;Fashion products made from repurposed materials (e.g., backpacks made from pineapple leaves) have become more prevalent nowadays, and their environmental sustainability is one of the core advantages. Yet, it is currently unclear how consumers respond to products made from repurposed materials. We conducted three experiments to examine the effects of three material features, namely function, sustainability, and distinguishability, on consumer preferences for fashion products made from repurposed materials. The results indicate that, when the function of repurposed materials is as good as that of conventional materials, consumers prefer a product made from repurposed materials over the same product made from conventional materials. Also, consumers in general prefer repurposed materials to be less visually distinguishable. Finally, when the sustainability of the repurposed products is emphasized, consumers appear more likely to choose products made from repurposed materials, even when these products have an inferior function. In conclusion, to promote fashion products made from repurposed materials, marketers may emphasize the function and sustainability of repurposed materials, and producers may manufacture repurposed materials that visually resemble conventional materials.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Universität Hamburg Authors: Mol, Wouter; Heusinkveld, Bert;This dataset contains measurements of downwelling short wave irradiance, measured in a small scale grid setup at Falkenberg: 20 sensors in 4 by 5 grid with a 50 meter grid spacing. Another 4 sensors were placed in all direction about 5 km away from the main grid at Falkenberg. The sampling rate is 10 Hz, to catch all irradiance variability, and is calibrated against a high quality sun tracker. The strength of this dataset is not the absolute accuracy, but rather the spatial measurements and ability to catch variability. Quality: Accuracy is estimated to be within 5% of a conventional pyranometer. Quality varies depending on weather type, but is best for high solar elevation angles (solar noon +/- 4 hours). Data is manually quality controlled, with detailed quality flags included in the dataset. Some anomalous data is not caught, in particular noisy data due to many insects on the sensor or small dirt from birds that reduces the signal slightly. These effects are much smaller than the driving weather patterns. The data is unsuitable for calculating radiation balances, but it is particularly useful for studying variability and patterns of solar irradiance on small scales. Funding: Dutch Research Council (NWO), Shedding Light On Cloud Shadows: VI.Vidi.192.068 Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Wageningen University Tedersoo, Leho; Mikryukov, Vladimir; Zizka, Alexander; Bahram, Mohammad; Hagh-Doust, Niloufar; Anslan, Sten; Prylutskyi, Oleh; Delgado-Baquerizo, Manuel; Maestre, Fernando T.; Pärn, Jaan; Öpik, Maarja; Moora, Mari; Zobel, 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.; Maciá-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, Rolf Henrik; 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.; Erandi Yasanthika, W.A.; Lim, Young Woon; Soudzilovskaia, Nadejda A.; Antonelli, Alexandre; Kõljalg, Urmas; Abarenkov, Kessy;This repository contains additional data associated to Tedersoo et al. (2022) (https://doi.org/10.1111/gcb.16398).This repository contains those data necessary to rerun the superecoregion design and the endemicity analyses as well as vector maps on the endemicity and OTU richness of individual superecoregions. Further data associated with the same publication, regarding the vulnerability analysis, can be found here: 10.5281/zenodo.6983158. input.zip - Input data needed to run the analysis scripts provided [here](https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability/superecoregions_and_endemicity). The entire folder is to be copied in the working directory to run the pipeline. output.zip - Further data needed to run the analysis scripts provided [here](https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability/superecoregions_and_endemicity). The entire folder is to be copied in the working directory to run the pipeline. maps_otu_numbers_and_se_characteristics - vector maps of the superecoregions and the number of OTUs and endemic OTUs per region for different functional groups maps_traits_endemism - vector maps of endemicity indices per region f different functional groups 01_super_Ecoregions_numbers.pdf - vector map of the superecoregions used in the study numbered from 1 - 174. legend_01_super_ecoregions_numbers.csv - legend with superecoregion names for 01_super_Ecoregions_numbers.pdf. super_eoregions_results - Superecoregions with number of OTUs, number of endemic OTUs and endemicity indices in R data format, for further analyses and visualization super_ecoregions.shp - Superecoregions with number of OTUs, number of endemic OTUs and endemicity indices as shape file, for further analyses and visualization This repository contains additional data associated to Tedersoo et al. (2022) (https://doi.org/10.1111/gcb.16398).This repository contains those data necessary to rerun the superecoregion design and the endemicity analyses as well as vector maps on the endemicity and OTU richness of individual superecoregions. Further data associated with the same publication, regarding the vulnerability analysis, can be found here: 10.5281/zenodo.6983158.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:4TU.ResearchData Arts, Gertie; van Smeden, J.; Wolters, M.F.; Belgers, J.D.M.; Matser, A.M.; Hommen, U.; Bruns, E.; Heine, S.; Solga, A.; Taylor, S.;The dataset covers biotic and abiotic data from the aquatic habitat of a population of the sediment-rooted macrophyte Myriophyllum spicatum in the temperate climate region (The Netherlands). The growth of M. spicatum was monitored in 0.2025 m2 plant baskets installed in an experimental ditch. Parameters monitored included biomass (fresh and dry weight), shoot length, seasonal short-term growth rates of shoots, relevant environmental parameters and weather data. This dataset includes the 2-year experimental biotic (macrophyte biomass and growth data) and environmental data (water quality data, sediment data). A second file includes the statistical data. A third file includes the weather data.
4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)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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more_vert 4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Zenodo Kok; Meijer; Zeist, van; Hilbers; Immovilli; Janse; Stehfest; Bakkenes; Schipper; Alkemade;handle: 2066/250630
Assessing ambitious nature conservation strategies in a below 2 degrees warmer and food-secure world – supplementary spatial data Authors: Marcel Kok, Johan Meijer, Willem-Jan van Zeist, Jelle Hilbers, Marco Immovilli, Jan Janse, Elke Stehfest, Michel Bakkenes, Andrzej Tabeau, Aafke Schipper, Rob Alkemade Point of contact: Marcel.Kok@pbl.nl Research paper summary: Global biodiversity is projected to further decline under a wide range of future socio-economic development pathways, even in sustainability-oriented scenarios. This raises the question how biodiversity can be put on a path to recovery, the core challenge for the CBD post-2020 global biodiversity framework. We designed two contrasting, ambitious global conservation strategies, ‘Half Earth’ (HE) and ‘Sharing the Planet’ (SP), and evaluated their ability to restore terrestrial and freshwater biodiversity and to provide nature’s contributions to people (NCP), while also limiting global warming below 2 degrees and ensuring food security. We applied the integrated assessment framework IMAGE with the GLOBIO biodiversity model, using the ‘Middle of the Road’ Shared Socio-economic Pathway (SSP2) with its projected human population growth as baseline. We found that both conservation strategies reduce the global loss of biodiversity and NCP, but are insufficient to restore biodiversity. The HE strategy performs generally better for terrestrial biodiversity (biodiversity intactness (MSA), Area of Habitat Index, Living Planet Index, Red List Index) in currently still natural regions. The SP strategy yields more improvements for biodiversity in human-used areas, aquatic biodiversity and for regulating NCP (pest control, pollination, erosion control, water quality). However, the ‘conservation only’ scenarios show a considerable increase in food security risks and further global temperature increase, compared to the baseline. To restore biodiversity, it is necessary to combine conservation strategies with a portfolio of ‘integrated sustainability measures’ including climate change mitigation actions to change the energy and food systems, where minimizing food wastes and reducing consumption of animal products are crucial. The combination of conservation strategies and additional sustainability measures will restore biodiversity an NCP while keeping global warming below two degrees and food security risks below the baseline projection. Contents: This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers". Keywords: Nature conservation, Half Earth, Sharing the Planet, Climate Change, Food Security, Solution-oriented scenarios, Biodiversity, Nature’s Contribution to People, NCP This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers".
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:Zenodo Funded by:EC | MAGNITUDEEC| MAGNITUDEKessels, Kris; Madani, Mehdi; Mou, Yuting; Sels, Peter; Shariat Torbaghan, Shahab; Virag, Ana;Dataset (partial) for the journal article Torbaghan, Shahab Shariat, et al. "Designing day-ahead multi-carrier markets for flexibility: Models and clearing algorithms." Applied Energy 285 (2021): 116390. https://doi.org/10.1016/j.apenergy.2020.116390 Historical electricity bids obtained from the website of GME, the Italian power exchange, cannot be redistributed and are not included in the present dataset.
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visibility 99visibility views 99 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 NetherlandsPublisher:Mendeley Data Ngarava, Saul; Vijge, Marjanneke; DuPlessis, Willemien; Zhou, Loecadia; Viljoen, Germarie; Nyambo, Patrick; Mugadza, Alois; Rantlo, John; Mokadem, Naziha; Dalla Fontana, Michele;doi: 10.17632/56zskrvfwf
The data was collected and formed part of a project called Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice which is co-funded by the Dutch Research Council (NWO) in the Netherlands and the National Research Foundation (NRF) in South Africa. The objective of the project was to highlight how social justice is enhanced by conditions of WEF nexus governance. This was achieved through a transdisciplinary approach to how a conceptual “WEF community” can be an agent of change through empowerment in WEF nexus governance by providing legal instruments that can be used and encouraging decision-making synergies from household to national levels. This was envisioned by deciphering how WEF resources and decision-making are produced, used, and distributed, their linkages, and the representation of marginal groups across scales. The opportunities and challenges of incorporating WEF community initiatives in South Africa’s legal framework were also evaluated by comparing them to the EU legislation to increase legal certainty and social justice The data set referred herein concerns part of the project which collected quantitative data through a questionnaire of 1184 household in South Africa. The household were purposively selected from Matatiele, Magareng and Greater Taung Local Municipalities.
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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 | SOS.aquaterra, AKA | Global Water Scarcity Atl...EC| SOS.aquaterra ,AKA| Global Water Scarcity Atlas: understanding resource pressure, causes, consequences, and opportunities (WASCO)Authors: Horton, Alexander J.; Kummu, Matti; Triet, Nguyen V.K.; Hoang, Long P.;Baseline and future (2036-2065) river water levels and discharges at 4 gauging stations along the Cambodian Mekong (Kratie, Kampong Cham, Chrouy Changva, and Neak Loeung) under different scenarios of climate change (RCP 4.5 and 8.5) and infrastructural developments. Average depth and duration flood maps are also included for each scenario. A full description of the methods and results can be found in the article: Alexander J. Horton, Nguyen V. K. Triet, Long P. Hoang, Sokchhay Heng, Panha Hok, Sarit Chung, Jorma Koponen, and Matti Kummu. (2022). The Cambodian Mekong floodplain under future development plans and climate change. Nat. Hazards Earth Syst. Sci.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:4TU.ResearchData Song, Bingnan; Weijma, Jan; van der Weijden, Renata; Buisman, Cees; Tian, Zilin;Results belonging to paper "High-rate biological selenate reduction in a sequencing batch reactor for recovery of hexagonal selenium".Recovery of selenium (Se) from wastewater provides a solution for both securing Se supply and preventing Se pollution. Here, we developed a high-rate process for biological selenate reduction to elemental selenium. Distinctive from other studies, we aimed for a process with selenate as the main biological electron sink, with minimal formation of methane or sulfide. A sequencing batch reactor, fed with an influent containing 120 mgSe L-1 selenate and ethanol as electron donor and carbon source, was operated for 495 days. The high rates (419 �� 17 mgSe L-1 day-1) were recorded between day 446 and day 495 for a hydraulic retention time of 6h. The maximum conversion efficiency of selenate amounted to 96% with a volumetric conversion rate of 444 mgSe L-1 day-1, which is 6 times higher than the rates reported in the literature thus far. At the end of the experiment, a highly enriched selenate reducing biomass had developed, with a specific activity of 856��26 mgSe-1day-1gbiomass-1, which was nearly 1000-fold higher than that of the inoculum. No evidence was found for the formation of methane, sulfide, or volatile reduced selenium compounds like dimethyl-selenide or H2Se, revealing a high selectivity. Ethanol was incompletely oxidized to acetate. The produced elemental selenium partially accumulated in the reactor as pure (���80% Se of the total mixture of biomass sludge flocs and flaky aggregates, and ~100% of the specific flaky aggregates) selenium black hexagonal needles, with cluster sizes between 20-200 ��m. The new process may serve as the basis for a high-rate technology to remove and recover pure selenium from wastewater or process streams with high selectivity.
4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)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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more_vert 4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 NetherlandsPublisher:Zenodo Authors: Kong, Xiangzhen; Determann, Maria; Andersen, Tobias Kuhlmann; Barbosa, Carolina Cerqueira; +6 AuthorsKong, Xiangzhen; Determann, Maria; Andersen, Tobias Kuhlmann; Barbosa, Carolina Cerqueira; Dadi, Tallent; Janssen, Annette B.G.; Paule-Mercado, Ma Cristina; Pujoni, Diego Guimarães Florencio; Schultze, Martin; Rinke, Karsten;This repository contains the dataset linked to the following publication: Article title: Synergistic effects of warming and internal nutrient loading interfere with the long-term stability of lake restoration and induce sudden re-eutrophication Journal: Environmental Science & Technology DOI: 10.1021/acs.est.2c07181 Abstract: Phosphorus (P) precipitation is among the most effective treatments to mitigate lake eutrophication. However, after a period of high effectiveness, studies have shown possible re-eutrophication and the return of harmful algal blooms. While such abrupt ecological changes were attributed to the internal P loading, the role of lake warming and its potential synergistic effects with internal loading, thus far, has been understudied. Here, in a eutrophic lake in central Germany, we quantified the driving mechanisms of the abrupt re-eutrophication and cyanobacterial blooms in 2016 (30 years after the first P precipitation). A process-based lake ecosystem model (GOTM-WET) was established using a high-frequency monitoring dataset covering contrasting trophic states. Model analyses suggested that the internal P release accounted for 68% of the cyanobacterial biomass proliferation, while lake warming contributed to 32%, including direct effects via promoting growth (18%) and synergistic effects via intensifying internal P loading (14%). The model further showed that the synergy was attributed to prolonged lake hypolimnion warming and oxygen depletion. Our study unravels the substantial role of lake warming in promoting cyanobacterial blooms in re-eutrophicated lakes. The warming effects on cyanobacteria via promoting internal loading need more attention in lake management, particularly for urban lakes. SYNOPSIS: Warming synergistically promotes re-eutrophication with internal nutrient loading and exacerbates cyanobacterial blooms in urban lakes 30 years after phosphorus mitigation. Data description by Xiangzhen Kong (xzkong@niglas.ac.cn), 2023-02-20 ---Wet chemical analysis on water samples taken at five depths (0.5, 2.5, 5.0, 7.0 and 9.0 m) from the deepest point in the lake (BA1) at biweekly intervals from 2018.5-2021.8. File name: BAB_BA1_TN_mgL.obs (total nitrogen concentration) BAB_BA1_NH4_mgL.obs (ammonium nitrogen concentration) BAB_BA1_NO3_mgL.obs (nitrate nitrogen concentration) BAB_BA1_TP_mgL.obs (total phosphorus concentration) BAB_BA1_SRP_mgL.obs (Soluble reactive phosphorus concentration) BAB_BA1_DP_mgL.obs (dissolved P concentration) BAB_BA1_DOC_mgL.obs (Dissolved organic carbon concentration) BAB_BA1_Si_mgL.obs (dissolved silicon concentration) BAB_BA1_Chla_HPLC_DIN_mgL.obs (Chl-a concentration) ---CTD probe profile data from the deepest point in the lake (BA1) from 2017.8 to 2021.8 at biweekly basis with approximately 0.1 m vertical resolution File name: t_prof_file_barleber_ctm644.obs (water temperature) oxy_prof_file_barleber_ctm644 (Dissolved oxygen) turb_prof_file_barleber_ctm644.obs (Turbidity) chla_prof_file_barleber_ctm644.obs (Chl-a concentration) ---BBE probe profile data from the deepest point in the lake (BA1) from 2017.8 to 2021.8 at biweekly basis with approximately 0.1 m vertical resolution File name: totalChla_prof_file_barleber_FP2101.obs (Chl-a concentration) bluegreen_prof_file_barleber_FP2101.obs (Blue-green algae Chl-a concentration) green_prof_file_barleber_FP2101.obs (Green algae Chl-a concentration) diatom_prof_file_barleber_FP2101.obs (Diatom Chl-a concentration)
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Research data keyboard_double_arrow_right Dataset 2023 NetherlandsPublisher:DANS Data Station Social Sciences and Humanities Authors: Gao, X.; De Hoge, I.E.; Fischer, A.R.H.;Fashion products made from repurposed materials (e.g., backpacks made from pineapple leaves) have become more prevalent nowadays, and their environmental sustainability is one of the core advantages. Yet, it is currently unclear how consumers respond to products made from repurposed materials. We conducted three experiments to examine the effects of three material features, namely function, sustainability, and distinguishability, on consumer preferences for fashion products made from repurposed materials. The results indicate that, when the function of repurposed materials is as good as that of conventional materials, consumers prefer a product made from repurposed materials over the same product made from conventional materials. Also, consumers in general prefer repurposed materials to be less visually distinguishable. Finally, when the sustainability of the repurposed products is emphasized, consumers appear more likely to choose products made from repurposed materials, even when these products have an inferior function. In conclusion, to promote fashion products made from repurposed materials, marketers may emphasize the function and sustainability of repurposed materials, and producers may manufacture repurposed materials that visually resemble conventional materials.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Universität Hamburg Authors: Mol, Wouter; Heusinkveld, Bert;This dataset contains measurements of downwelling short wave irradiance, measured in a small scale grid setup at Falkenberg: 20 sensors in 4 by 5 grid with a 50 meter grid spacing. Another 4 sensors were placed in all direction about 5 km away from the main grid at Falkenberg. The sampling rate is 10 Hz, to catch all irradiance variability, and is calibrated against a high quality sun tracker. The strength of this dataset is not the absolute accuracy, but rather the spatial measurements and ability to catch variability. Quality: Accuracy is estimated to be within 5% of a conventional pyranometer. Quality varies depending on weather type, but is best for high solar elevation angles (solar noon +/- 4 hours). Data is manually quality controlled, with detailed quality flags included in the dataset. Some anomalous data is not caught, in particular noisy data due to many insects on the sensor or small dirt from birds that reduces the signal slightly. These effects are much smaller than the driving weather patterns. The data is unsuitable for calculating radiation balances, but it is particularly useful for studying variability and patterns of solar irradiance on small scales. Funding: Dutch Research Council (NWO), Shedding Light On Cloud Shadows: VI.Vidi.192.068 Project: FESSTVaL (Field Experiment on submesoscale spatio-temporal variability in Lindenberg), a measurement campaign initiated by the Hans-Ertel-Center for Weather Research.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Wageningen University Tedersoo, Leho; Mikryukov, Vladimir; Zizka, Alexander; Bahram, Mohammad; Hagh-Doust, Niloufar; Anslan, Sten; Prylutskyi, Oleh; Delgado-Baquerizo, Manuel; Maestre, Fernando T.; Pärn, Jaan; Öpik, Maarja; Moora, Mari; Zobel, 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.; Maciá-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, Rolf Henrik; 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.; Erandi Yasanthika, W.A.; Lim, Young Woon; Soudzilovskaia, Nadejda A.; Antonelli, Alexandre; Kõljalg, Urmas; Abarenkov, Kessy;This repository contains additional data associated to Tedersoo et al. (2022) (https://doi.org/10.1111/gcb.16398).This repository contains those data necessary to rerun the superecoregion design and the endemicity analyses as well as vector maps on the endemicity and OTU richness of individual superecoregions. Further data associated with the same publication, regarding the vulnerability analysis, can be found here: 10.5281/zenodo.6983158. input.zip - Input data needed to run the analysis scripts provided [here](https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability/superecoregions_and_endemicity). The entire folder is to be copied in the working directory to run the pipeline. output.zip - Further data needed to run the analysis scripts provided [here](https://github.com/Mycology-Microbiology-Center/Fungal_Endemicity_and_Vulnerability/superecoregions_and_endemicity). The entire folder is to be copied in the working directory to run the pipeline. maps_otu_numbers_and_se_characteristics - vector maps of the superecoregions and the number of OTUs and endemic OTUs per region for different functional groups maps_traits_endemism - vector maps of endemicity indices per region f different functional groups 01_super_Ecoregions_numbers.pdf - vector map of the superecoregions used in the study numbered from 1 - 174. legend_01_super_ecoregions_numbers.csv - legend with superecoregion names for 01_super_Ecoregions_numbers.pdf. super_eoregions_results - Superecoregions with number of OTUs, number of endemic OTUs and endemicity indices in R data format, for further analyses and visualization super_ecoregions.shp - Superecoregions with number of OTUs, number of endemic OTUs and endemicity indices as shape file, for further analyses and visualization This repository contains additional data associated to Tedersoo et al. (2022) (https://doi.org/10.1111/gcb.16398).This repository contains those data necessary to rerun the superecoregion design and the endemicity analyses as well as vector maps on the endemicity and OTU richness of individual superecoregions. Further data associated with the same publication, regarding the vulnerability analysis, can be found here: 10.5281/zenodo.6983158.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:4TU.ResearchData Arts, Gertie; van Smeden, J.; Wolters, M.F.; Belgers, J.D.M.; Matser, A.M.; Hommen, U.; Bruns, E.; Heine, S.; Solga, A.; Taylor, S.;The dataset covers biotic and abiotic data from the aquatic habitat of a population of the sediment-rooted macrophyte Myriophyllum spicatum in the temperate climate region (The Netherlands). The growth of M. spicatum was monitored in 0.2025 m2 plant baskets installed in an experimental ditch. Parameters monitored included biomass (fresh and dry weight), shoot length, seasonal short-term growth rates of shoots, relevant environmental parameters and weather data. This dataset includes the 2-year experimental biotic (macrophyte biomass and growth data) and environmental data (water quality data, sediment data). A second file includes the statistical data. A third file includes the weather data.
4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)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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more_vert 4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022 NetherlandsPublisher:Zenodo Kok; Meijer; Zeist, van; Hilbers; Immovilli; Janse; Stehfest; Bakkenes; Schipper; Alkemade;handle: 2066/250630
Assessing ambitious nature conservation strategies in a below 2 degrees warmer and food-secure world – supplementary spatial data Authors: Marcel Kok, Johan Meijer, Willem-Jan van Zeist, Jelle Hilbers, Marco Immovilli, Jan Janse, Elke Stehfest, Michel Bakkenes, Andrzej Tabeau, Aafke Schipper, Rob Alkemade Point of contact: Marcel.Kok@pbl.nl Research paper summary: Global biodiversity is projected to further decline under a wide range of future socio-economic development pathways, even in sustainability-oriented scenarios. This raises the question how biodiversity can be put on a path to recovery, the core challenge for the CBD post-2020 global biodiversity framework. We designed two contrasting, ambitious global conservation strategies, ‘Half Earth’ (HE) and ‘Sharing the Planet’ (SP), and evaluated their ability to restore terrestrial and freshwater biodiversity and to provide nature’s contributions to people (NCP), while also limiting global warming below 2 degrees and ensuring food security. We applied the integrated assessment framework IMAGE with the GLOBIO biodiversity model, using the ‘Middle of the Road’ Shared Socio-economic Pathway (SSP2) with its projected human population growth as baseline. We found that both conservation strategies reduce the global loss of biodiversity and NCP, but are insufficient to restore biodiversity. The HE strategy performs generally better for terrestrial biodiversity (biodiversity intactness (MSA), Area of Habitat Index, Living Planet Index, Red List Index) in currently still natural regions. The SP strategy yields more improvements for biodiversity in human-used areas, aquatic biodiversity and for regulating NCP (pest control, pollination, erosion control, water quality). However, the ‘conservation only’ scenarios show a considerable increase in food security risks and further global temperature increase, compared to the baseline. To restore biodiversity, it is necessary to combine conservation strategies with a portfolio of ‘integrated sustainability measures’ including climate change mitigation actions to change the energy and food systems, where minimizing food wastes and reducing consumption of animal products are crucial. The combination of conservation strategies and additional sustainability measures will restore biodiversity an NCP while keeping global warming below two degrees and food security risks below the baseline projection. Contents: This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers". Keywords: Nature conservation, Half Earth, Sharing the Planet, Climate Change, Food Security, Solution-oriented scenarios, Biodiversity, Nature’s Contribution to People, NCP This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers".
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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.6401265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:Zenodo Funded by:EC | MAGNITUDEEC| MAGNITUDEKessels, Kris; Madani, Mehdi; Mou, Yuting; Sels, Peter; Shariat Torbaghan, Shahab; Virag, Ana;Dataset (partial) for the journal article Torbaghan, Shahab Shariat, et al. "Designing day-ahead multi-carrier markets for flexibility: Models and clearing algorithms." Applied Energy 285 (2021): 116390. https://doi.org/10.1016/j.apenergy.2020.116390 Historical electricity bids obtained from the website of GME, the Italian power exchange, cannot be redistributed and are not included in the present dataset.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4923182&type=result"></script>'); --> </script>
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visibility 99visibility views 99 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4923182&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024 NetherlandsPublisher:Mendeley Data Ngarava, Saul; Vijge, Marjanneke; DuPlessis, Willemien; Zhou, Loecadia; Viljoen, Germarie; Nyambo, Patrick; Mugadza, Alois; Rantlo, John; Mokadem, Naziha; Dalla Fontana, Michele;doi: 10.17632/56zskrvfwf
The data was collected and formed part of a project called Water-Energy-Food Nexus: Multi-Actor Governance for Social Justice which is co-funded by the Dutch Research Council (NWO) in the Netherlands and the National Research Foundation (NRF) in South Africa. The objective of the project was to highlight how social justice is enhanced by conditions of WEF nexus governance. This was achieved through a transdisciplinary approach to how a conceptual “WEF community” can be an agent of change through empowerment in WEF nexus governance by providing legal instruments that can be used and encouraging decision-making synergies from household to national levels. This was envisioned by deciphering how WEF resources and decision-making are produced, used, and distributed, their linkages, and the representation of marginal groups across scales. The opportunities and challenges of incorporating WEF community initiatives in South Africa’s legal framework were also evaluated by comparing them to the EU legislation to increase legal certainty and social justice The data set referred herein concerns part of the project which collected quantitative data through a questionnaire of 1184 household in South Africa. The household were purposively selected from Matatiele, Magareng and Greater Taung Local Municipalities.
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=10.17632/56zskrvfwf&type=result"></script>'); --> </script>
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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=10.17632/56zskrvfwf&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 | SOS.aquaterra, AKA | Global Water Scarcity Atl...EC| SOS.aquaterra ,AKA| Global Water Scarcity Atlas: understanding resource pressure, causes, consequences, and opportunities (WASCO)Authors: Horton, Alexander J.; Kummu, Matti; Triet, Nguyen V.K.; Hoang, Long P.;Baseline and future (2036-2065) river water levels and discharges at 4 gauging stations along the Cambodian Mekong (Kratie, Kampong Cham, Chrouy Changva, and Neak Loeung) under different scenarios of climate change (RCP 4.5 and 8.5) and infrastructural developments. Average depth and duration flood maps are also included for each scenario. A full description of the methods and results can be found in the article: Alexander J. Horton, Nguyen V. K. Triet, Long P. Hoang, Sokchhay Heng, Panha Hok, Sarit Chung, Jorma Koponen, and Matti Kummu. (2022). The Cambodian Mekong floodplain under future development plans and climate change. Nat. Hazards Earth Syst. Sci.
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.6341785&type=result"></script>'); --> </script>
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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.6341785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021 NetherlandsPublisher:4TU.ResearchData Song, Bingnan; Weijma, Jan; van der Weijden, Renata; Buisman, Cees; Tian, Zilin;Results belonging to paper "High-rate biological selenate reduction in a sequencing batch reactor for recovery of hexagonal selenium".Recovery of selenium (Se) from wastewater provides a solution for both securing Se supply and preventing Se pollution. Here, we developed a high-rate process for biological selenate reduction to elemental selenium. Distinctive from other studies, we aimed for a process with selenate as the main biological electron sink, with minimal formation of methane or sulfide. A sequencing batch reactor, fed with an influent containing 120 mgSe L-1 selenate and ethanol as electron donor and carbon source, was operated for 495 days. The high rates (419 �� 17 mgSe L-1 day-1) were recorded between day 446 and day 495 for a hydraulic retention time of 6h. The maximum conversion efficiency of selenate amounted to 96% with a volumetric conversion rate of 444 mgSe L-1 day-1, which is 6 times higher than the rates reported in the literature thus far. At the end of the experiment, a highly enriched selenate reducing biomass had developed, with a specific activity of 856��26 mgSe-1day-1gbiomass-1, which was nearly 1000-fold higher than that of the inoculum. No evidence was found for the formation of methane, sulfide, or volatile reduced selenium compounds like dimethyl-selenide or H2Se, revealing a high selectivity. Ethanol was incompletely oxidized to acetate. The produced elemental selenium partially accumulated in the reactor as pure (���80% Se of the total mixture of biomass sludge flocs and flaky aggregates, and ~100% of the specific flaky aggregates) selenium black hexagonal needles, with cluster sizes between 20-200 ��m. The new process may serve as the basis for a high-rate technology to remove and recover pure selenium from wastewater or process streams with high selectivity.
4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)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=10.4121/12927563&type=result"></script>'); --> </script>
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more_vert 4TU.ResearchData | s... arrow_drop_down DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)Smithsonian 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)DANS (Data Archiving and Networked Services)DatasetData sources: DANS (Data Archiving and Networked Services)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=10.4121/12927563&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023 NetherlandsPublisher:Zenodo Authors: Kong, Xiangzhen; Determann, Maria; Andersen, Tobias Kuhlmann; Barbosa, Carolina Cerqueira; +6 AuthorsKong, Xiangzhen; Determann, Maria; Andersen, Tobias Kuhlmann; Barbosa, Carolina Cerqueira; Dadi, Tallent; Janssen, Annette B.G.; Paule-Mercado, Ma Cristina; Pujoni, Diego Guimarães Florencio; Schultze, Martin; Rinke, Karsten;This repository contains the dataset linked to the following publication: Article title: Synergistic effects of warming and internal nutrient loading interfere with the long-term stability of lake restoration and induce sudden re-eutrophication Journal: Environmental Science & Technology DOI: 10.1021/acs.est.2c07181 Abstract: Phosphorus (P) precipitation is among the most effective treatments to mitigate lake eutrophication. However, after a period of high effectiveness, studies have shown possible re-eutrophication and the return of harmful algal blooms. While such abrupt ecological changes were attributed to the internal P loading, the role of lake warming and its potential synergistic effects with internal loading, thus far, has been understudied. Here, in a eutrophic lake in central Germany, we quantified the driving mechanisms of the abrupt re-eutrophication and cyanobacterial blooms in 2016 (30 years after the first P precipitation). A process-based lake ecosystem model (GOTM-WET) was established using a high-frequency monitoring dataset covering contrasting trophic states. Model analyses suggested that the internal P release accounted for 68% of the cyanobacterial biomass proliferation, while lake warming contributed to 32%, including direct effects via promoting growth (18%) and synergistic effects via intensifying internal P loading (14%). The model further showed that the synergy was attributed to prolonged lake hypolimnion warming and oxygen depletion. Our study unravels the substantial role of lake warming in promoting cyanobacterial blooms in re-eutrophicated lakes. The warming effects on cyanobacteria via promoting internal loading need more attention in lake management, particularly for urban lakes. SYNOPSIS: Warming synergistically promotes re-eutrophication with internal nutrient loading and exacerbates cyanobacterial blooms in urban lakes 30 years after phosphorus mitigation. Data description by Xiangzhen Kong (xzkong@niglas.ac.cn), 2023-02-20 ---Wet chemical analysis on water samples taken at five depths (0.5, 2.5, 5.0, 7.0 and 9.0 m) from the deepest point in the lake (BA1) at biweekly intervals from 2018.5-2021.8. File name: BAB_BA1_TN_mgL.obs (total nitrogen concentration) BAB_BA1_NH4_mgL.obs (ammonium nitrogen concentration) BAB_BA1_NO3_mgL.obs (nitrate nitrogen concentration) BAB_BA1_TP_mgL.obs (total phosphorus concentration) BAB_BA1_SRP_mgL.obs (Soluble reactive phosphorus concentration) BAB_BA1_DP_mgL.obs (dissolved P concentration) BAB_BA1_DOC_mgL.obs (Dissolved organic carbon concentration) BAB_BA1_Si_mgL.obs (dissolved silicon concentration) BAB_BA1_Chla_HPLC_DIN_mgL.obs (Chl-a concentration) ---CTD probe profile data from the deepest point in the lake (BA1) from 2017.8 to 2021.8 at biweekly basis with approximately 0.1 m vertical resolution File name: t_prof_file_barleber_ctm644.obs (water temperature) oxy_prof_file_barleber_ctm644 (Dissolved oxygen) turb_prof_file_barleber_ctm644.obs (Turbidity) chla_prof_file_barleber_ctm644.obs (Chl-a concentration) ---BBE probe profile data from the deepest point in the lake (BA1) from 2017.8 to 2021.8 at biweekly basis with approximately 0.1 m vertical resolution File name: totalChla_prof_file_barleber_FP2101.obs (Chl-a concentration) bluegreen_prof_file_barleber_FP2101.obs (Blue-green algae Chl-a concentration) green_prof_file_barleber_FP2101.obs (Green algae Chl-a concentration) diatom_prof_file_barleber_FP2101.obs (Diatom Chl-a concentration)
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.7580960&type=result"></script>'); --> </script>
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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.7580960&type=result"></script>'); --> </script>
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