Influence of live and dead earthworms on carbon stabilization and sequestration through mineral weathering - Organo-mineral mixture and leachate
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2025
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| _version_ | 1867172210641207296 |
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| author | Calogiuri, Tullia Hagens, Mathilde van Groenigen, Jan Willem Wichern, Florian Poetra, Reinaldy P Rieder, Lukas Janssens, Ivan A Hartmann, Jens Neubeck, Anna Niron, Harun Singh, Abhijeet Vlaeminck, Siegfried E Vicca, Sara Vidal, Alix |
| author_facet | Calogiuri, Tullia Hagens, Mathilde van Groenigen, Jan Willem Wichern, Florian Poetra, Reinaldy P Rieder, Lukas Janssens, Ivan A Hartmann, Jens Neubeck, Anna Niron, Harun Singh, Abhijeet Vlaeminck, Siegfried E Vicca, Sara Vidal, Alix |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The dataset consists of a list of treatments and relative analyses done to determine different pathways through which live and dead earthworms can influence organic carbon stabilisation and inorganic carbon sequestration through mineral weathering. Data was obtained from a column-experiment of the duration of 120 days, with a mid-term sampling at 60 days to observe changes over time, done between October 2023 and February 2024. The column-experiment was carried out in an incubator at 20 °C, where columns where filled with a mixture of rock powder and 13C labelled plant residues, and earthworms were introduced either alive or dead. The dataset relates to the list of treatments and parameters measured to determine the effect of earthworms, either alive or dead, on carbon dynamics measured at 60 and 120 days. These include measurements such as 13C analyzed in dissolved inorganic carbon, mineral associated organic carbon, microbial analyses, and a series of weathering indicators, as alkalinity and major cations. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_984355 |
| institution | PANGAEA |
| language | en |
| publishDate | 2025 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Influence of live and dead earthworms on carbon stabilization and sequestration through mineral weathering - Organo-mineral mixture and leachate Calogiuri, Tullia Hagens, Mathilde van Groenigen, Jan Willem Wichern, Florian Poetra, Reinaldy P Rieder, Lukas Janssens, Ivan A Hartmann, Jens Neubeck, Anna Niron, Harun Singh, Abhijeet Vlaeminck, Siegfried E Vicca, Sara Vidal, Alix Actinomycetes, per soil dry mass; Alkalinity, total; Atom percent, 13C, dissolved organic carbon; Atom percent, 13C, dissolved total carbon; Bacteria, gram-negative, per soil dry mass; Bacteria, gram-positive, per soil dry mass; BAM!; Bio-Accelerated Mineral Weathering; Calcium; Calculated; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, total dissolved; Carbon/free particulate organic matter; Carbon/mineral-associated organic matter; Carbon/occluded particulate organic matter; Carbon/organo-mineral mixture; carbon sequestration; Carbon stabilization; Column experiment; Column number; Conductivity; Counting, visual; Date/time end, experiment; Date/time start, experiment; Dead earthworms; Earthworms_sample; Elemental Analyzer, Elementar Analysensysteme GmbH, Langenselbold, Germany, Elementar vario MICRO cube; coupled with Isotope Ratio Mass Spectrometer, Sercon, Europa 20-20; Elemental analyzer CHN, LECO, TruSpec; Eukaryotes, per soil dry mass; Experimental treatment; Experiment duration; Fungi, arbuscular mycorrhizal, per soil dry mass; Fungi, per soil dry mass; Gas chromatography-mass spectrometer (GC-MS), Agilent Technologies; ICP-OES, Thermo Scientific, iCAP 6500 dual view; Incubator; Iron; Leachate, gross; Leachate, net; Leachate, tare; Live earthworms; Magnesium; Micro CN elemental analyzer, Thermo Fisher Scientific, FlashSmart; mineral weathering; Multi-parameter portable meter, WTW, MultiLine® 2630 IDS; Number of individuals, survived; Organic matter, mineral-associated; Organic matter, particulate, free; Organic matter, particulate, occluded; pH; pH meter; after titration with 0.02 M HCl until reached pH = 4.5; Phosphorus; Pitchfork; Potassium; Sample mass; Segmented Flow Analyzer (SFA), Skalar Analytical B.V., San++ Automated Wet Chemistry Analyzer; Silicon; Sodium; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Starved and weighed according to Dalby et al. (1996); Treatment: abundance, wet mass; Treatment: coarse basanite; Treatment: fine basanite; Treatment: number of individuals, total; Treatment: pea straw; Treatment: temperature; Type of study; Wageningen, The Netherlands; Weighed; Weighed dry mass of fraction; after organic matter density fractionation according to Cerli et al. (2012) and Plaza et al. (2019); Weighed dry mass of sample used for organic matter density fractionation according to Cerli et al. (2012) and Plaza et al. (2019) The dataset consists of a list of treatments and relative analyses done to determine different pathways through which live and dead earthworms can influence organic carbon stabilisation and inorganic carbon sequestration through mineral weathering. Data was obtained from a column-experiment of the duration of 120 days, with a mid-term sampling at 60 days to observe changes over time, done between October 2023 and February 2024. The column-experiment was carried out in an incubator at 20 °C, where columns where filled with a mixture of rock powder and 13C labelled plant residues, and earthworms were introduced either alive or dead. The dataset relates to the list of treatments and parameters measured to determine the effect of earthworms, either alive or dead, on carbon dynamics measured at 60 and 120 days. These include measurements such as 13C analyzed in dissolved inorganic carbon, mineral associated organic carbon, microbial analyses, and a series of weathering indicators, as alkalinity and major cations. |
| title | Influence of live and dead earthworms on carbon stabilization and sequestration through mineral weathering - Organo-mineral mixture and leachate |
| topic | Actinomycetes, per soil dry mass; Alkalinity, total; Atom percent, 13C, dissolved organic carbon; Atom percent, 13C, dissolved total carbon; Bacteria, gram-negative, per soil dry mass; Bacteria, gram-positive, per soil dry mass; BAM!; Bio-Accelerated Mineral Weathering; Calcium; Calculated; Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, total dissolved; Carbon/free particulate organic matter; Carbon/mineral-associated organic matter; Carbon/occluded particulate organic matter; Carbon/organo-mineral mixture; carbon sequestration; Carbon stabilization; Column experiment; Column number; Conductivity; Counting, visual; Date/time end, experiment; Date/time start, experiment; Dead earthworms; Earthworms_sample; Elemental Analyzer, Elementar Analysensysteme GmbH, Langenselbold, Germany, Elementar vario MICRO cube; coupled with Isotope Ratio Mass Spectrometer, Sercon, Europa 20-20; Elemental analyzer CHN, LECO, TruSpec; Eukaryotes, per soil dry mass; Experimental treatment; Experiment duration; Fungi, arbuscular mycorrhizal, per soil dry mass; Fungi, per soil dry mass; Gas chromatography-mass spectrometer (GC-MS), Agilent Technologies; ICP-OES, Thermo Scientific, iCAP 6500 dual view; Incubator; Iron; Leachate, gross; Leachate, net; Leachate, tare; Live earthworms; Magnesium; Micro CN elemental analyzer, Thermo Fisher Scientific, FlashSmart; mineral weathering; Multi-parameter portable meter, WTW, MultiLine® 2630 IDS; Number of individuals, survived; Organic matter, mineral-associated; Organic matter, particulate, free; Organic matter, particulate, occluded; pH; pH meter; after titration with 0.02 M HCl until reached pH = 4.5; Phosphorus; Pitchfork; Potassium; Sample mass; Segmented Flow Analyzer (SFA), Skalar Analytical B.V., San++ Automated Wet Chemistry Analyzer; Silicon; Sodium; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Starved and weighed according to Dalby et al. (1996); Treatment: abundance, wet mass; Treatment: coarse basanite; Treatment: fine basanite; Treatment: number of individuals, total; Treatment: pea straw; Treatment: temperature; Type of study; Wageningen, The Netherlands; Weighed; Weighed dry mass of fraction; after organic matter density fractionation according to Cerli et al. (2012) and Plaza et al. (2019); Weighed dry mass of sample used for organic matter density fractionation according to Cerli et al. (2012) and Plaza et al. (2019) |
| url | https://doi.org/10.1594/PANGAEA.984355 |