Biochar amendment is one of the most promising agricultural approaches to tackle climate change by enhancing soil carbon (C) sequestration. Microbial\uffe2\uff80\uff90mediated decomposition processes are fundamental for the fate and persistence of sequestered C in soil, but the underlying mechanisms are uncertain. Here, we synthesise 923 observations regarding the effects of biochar addition (over periods ranging from several weeks to several years) on soil C\uffe2\uff80\uff90degrading enzyme activities from 130 articles across five continents worldwide. Our results showed that biochar addition increased soil ligninase activity targeting complex phenolic macromolecules by 7.1%, but suppressed cellulase activity degrading simpler polysaccharides by 8.3%. These shifts in enzyme activities explained the most variation of changes in soil C sequestration across a wide range of climatic, edaphic and experimental conditions, with biochar\uffe2\uff80\uff90induced shift in ligninase:cellulase ratio correlating negatively with soil C sequestration. Specifically, short\uffe2\uff80\uff90term (<1\uffc2\uffa0year) biochar addition significantly reduced cellulase activity by 4.6% and enhanced soil organic C sequestration by 87.5%, whereas no significant responses were observed for ligninase activity and ligninase:cellulase ratio. However, long\uffe2\uff80\uff90term (\uffe2\uff89\uffa51\uffc2\uffa0year) biochar addition significantly enhanced ligninase activity by 5.2% and ligninase:cellulase ratio by 36.1%, leading to a smaller increase in soil organic C sequestration (25.1%). These results suggest that shifts in enzyme activities increased ligninase:cellulase ratio with time after biochar addition, limiting long\uffe2\uff80\uff90term soil C sequestration with biochar addition. Our work provides novel evidence to explain the diminished soil C sequestration with long\uffe2\uff80\uff90term biochar addition and suggests that earlier studies may have overestimated soil C sequestration with biochar addition by failing to consider the physiological acclimation of soil microorganisms over time.Title: Supplementary material to: Quality Assessment of Meta-Analyses on Soil Organic Carbon Content: Supplementary material to article Table S1: List of resources for assessing the quality of, reporting or creating meta-analyses in several disciplines Table S2: 31 soil organic carbon meta-analyses and their individual scores per (sub)-criterium Table S3: Literature gathering Table S4: Information on screening process Table S5: Results for all meta-analyses per group and (sub)-criterium Table S6: Quick quality assessment of meta-analyses in IPCC report with the help of 'cut-off' criteria Table S7: Results for criteria 1-5 and 9-17 from meta-analyses that passed and did not pass the 'cut-off' criteria Table S8: Template for quality assessment", "keywords": ["2. Zero hunger", "meta-analysis", "treatment effect", "synthesis", "effect size", "tillage", "weighting", "15. Life on land", "soil management"], "contacts": [{"organization": "Fohrafellner, Julia, Zechmeister-Boltenstern, Sophie, Murugan, Rajasekaran, Valkama, Elena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7551493"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7551493", "name": "item", "description": "10.5281/zenodo.7551493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7551493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-28T00:00:00Z"}}, {"id": "10871/131886", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:34Z", "type": "Journal Article", "created": "2022-10-19", "title": "Synthesizing the evidence of nitrous oxide mitigation practices in agroecosystems", "description": "Abstract
Nitrous oxide (N2O) emissions from agricultural soils are the main source of atmospheric N2O, a potent greenhouse gas and key ozone-depleting substance. Several agricultural practices with potential to mitigate N2O emissions have been tested worldwide. However, to guide policymaking for reducing N2O emissions from agricultural soils, it is necessary to better understand the overall performance and variability of mitigation practices and identify those requiring further investigation. We performed a systematic review and a second-order meta-analysis to assess the abatement efficiency of N2O mitigation practices from agricultural soils. We used 27 meta-analyses including 41 effect sizes based on 1119 primary studies. Technology-driven solutions (e.g. enhanced-efficiency fertilizers, drip irrigation, and biochar) and optimization of fertilizer rate have considerable mitigation potential. Agroecological mitigation practices (e.g. organic fertilizer and reduced tillage), while potentially contributing to soil quality and carbon storage, may enhance N2O emissions and only lead to reductions under certain pedoclimatic and farming conditions. Other mitigation practices (e.g. lime amendment or crop residue removal) led to marginal N2O decreases. Despite the variable mitigation potential, evidencing the context-dependency of N2O reductions and tradeoffs, several mitigation practices may maintain or increase crop production, representing relevant alternatives for policymaking to reduce greenhouse gas emissions and safeguard food security.Anthropogenic climate change is altering precipitation regimes at a global scale. While precipitation changes have been linked to changes in the abundance and diversity of soil and litter invertebrate fauna in forests, general trends have remained elusive due to mixed results from primary studies. We used a meta\uffe2\uff80\uff90analysis based on 430 comparisons from 38 primary studies to address associated knowledge gaps, (i) quantifying impacts of precipitation change on forest soil and litter fauna abundance and diversity, (ii) exploring reasons for variation in impacts and (iii) examining biases affecting the realism and accuracy of experimental studies. Precipitation reductions led to a decrease of 39% in soil and litter fauna abundance, with a 35% increase in abundance under precipitation increases, while diversity impacts were smaller. A statistical model containing an interaction between body size and the magnitude of precipitation change showed that mesofauna (e.g. mites, collembola) responded most to changes in precipitation. Changes in taxonomic richness were related solely to the magnitude of precipitation change. Our results suggest that body size is related to the ability of a taxon to survive under drought conditions, or to benefit from high precipitation. We also found that most experiments manipulated precipitation in a way that aligns better with predicted extreme climatic events than with predicted average annual changes in precipitation and that the experimental plots used in experiments were likely too small to accurately capture changes for mobile taxa. The relationship between body size and response to precipitation found here has far\uffe2\uff80\uff90reaching implications for our ability to predict future responses of soil biodiversity to climate change and will help to produce more realistic mechanistic soil models which aim to simulate the responses of soils to global change.This study evaluates the dynamics of soil organic carbon (SOC) under perennial crops across the globe. It quantifies the effect of change from annual to perennial crops and the subsequent temporal changes in SOC stocks during the perennial crop cycle. It also presents an empirical model to estimate changes in the SOC content under crops as a function of time, land use, and site characteristics. We used a harmonized global dataset containing paired\uffe2\uff80\uff90comparison empirical values of SOC and different types of perennial crops (perennial grasses, palms, and woody plants) with different end uses: bioenergy, food, other bio\uffe2\uff80\uff90products, and short rotation coppice. Salient outcomes include: a 20\uffe2\uff80\uff90year period encompassing a change from annual to perennial crops led to an average 20% increase in SOC at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (6.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0Mg/ha gain) and a total 10% increase over the 0\uffe2\uff80\uff93100\uffc2\uffa0cm soil profile (5.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa010.9\uffc2\uffa0Mg/ha). A change from natural pasture to perennial crop decreased SOC stocks by 1% over 0\uffe2\uff80\uff9330\uffc2\uffa0cm (\uffe2\uff88\uff922.5\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.2\uffc2\uffa0Mg/ha) and 10% over 0\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9213.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08.9\uffc2\uffa0Mg/ha). The effect of a land use change from forest to perennial crops did not show significant impacts, probably due to the limited number of plots; but the data indicated that while a 2% increase in SOC was observed at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (16.81\uffc2\uffa0\uffc2\uffb1\uffc2\uffa055.1\uffc2\uffa0Mg/ha), a decrease in 24% was observed at 30\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9240.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa016.8\uffc2\uffa0Mg/ha). Perennial crops generally accumulate SOC through time, especially woody crops; and temperature was the main driver explaining differences in SOC dynamics, followed by crop age, soil bulk density, clay content, and depth. We present empirical evidence showing that the FAO perennialization strategy is reasonable, underscoring the role of perennial crops as a useful component of climate change mitigation strategies.Diversified cropping systems, especially those including legumes, have been proposed to enhance food production with reduced inputs and environmental impacts. However, the impact of legume pre-crops on main crop yield and its drivers has never been systematically investigated in a global context. Here, we synthesize 11,768 yield observations from 462 field experiments comparing legume-based and non-legume cropping systems and show that legumes enhanced main crop yield by 20%. These yield advantages decline with increasing N fertilizer rates and crop diversity of the main cropping system. The yield benefits are consistent among main crops (e.g., rice, wheat, maize) and evident across pedo-climatic regions. Moreover, greater yield advantages (32% vs. 7%) are observed in low- vs. high-yielding environments, suggesting legumes increase crop production with low inputs (e.g., in Africa or organic agriculture). In conclusion, our study suggests that legume-based rotations offer a critical pathway for enhancing global crop production, especially when integrated into low-input and low-diversity agricultural systems.International initiatives are emphasizing the capture of atmospheric CO2 in soil organic C (SOC) to reduce the climatic footprint from agroecosystems. One approach to quantify the contribution of management practices towards that goal is through analysis of long-term experiments (LTEs). Our objectives were to analyze knowledge gained in literature reviews on SOC changes in LTEs, to evaluate the results regarding interactions with pedo-climatological factors, and to discuss disparities among reviews in data selection criteria. We summarized mean response ratios (RRs) and stock change rate (SCR) effect size indices from twenty reviews using paired comparisons (N). The highest RRs were found with manure applications (30%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89418), followed by aboveground crop residue retention and the use of cover crops (9\uffe2\uff80\uff9310%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89995 and 129), while the effect of nitrogen fertilization was lowest (6%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89846). SCR for nitrogen fertilization exceeded that for aboveground crop residue retention (233 versus 117\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89183 and 279) and was highest for manure applications and cover crops (409 and 331\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89217 and 176). When data allows, we recommend calculating both RR and SCR because it improves the interpretation. Our synthesis shows that results are not always consistent among reviews and that interaction with texture and climate remain inconclusive. Selection criteria for study durations are highly variable, resulting in irregular conclusions for the effect of time on changes in SOC. We also discuss the relationships of SOC changes with yield and cropping systems, as well as conceptual problems when scaling-up results obtained from field studies to regional levels.An important consideration in the treatment of patients with psoriatic arthritis (PsA) is whether the addition of methotrexate (MTX) to biologics has greater efficacy than biologic monotherapy with respect to efficacy outcomes in these patients.
ObjectivesTo conduct a network meta-analysis (NMA) comparing biologics by treatment class with and without MTX for treatment of adults with active PsA.
MethodsA systematic literature review (SLR) identified randomised, double-blinded, controlled trials, and a Bayesian NMA compared biologics with and without MTX by treatment class (tumour necrosis factor inhibitors (TNFi), interleukin-23 inhibitors (IL-23i) and IL-17i). Efficacy outcomes included American College of Rheumatology 20%, 50% and 70% (ACR20, ACR50 and ACR70) improvement response.
ResultsThe SLR initially identified 31 studies, of which 17 met feasibility criteria for the NMA by containing the \uffe2\uff80\uff98without MTX\uffe2\uff80\uff99 subgroup. For ACR20 efficacy (the most robust assessment examined), all active treatments were significantly better than placebo. No statistically significant differences were demonstrated between biologic monotherapy (for all classes examined) and biologics in combination with MTX for ACR20/50. IL-17i were comparable to IL-23i, and IL-17i were significantly better than TNFi for ACR20. Although limited by fewer trials, TNFi, IL-23i and IL-17i were not statistically different for ACR50/70.
ConclusionsConcomitant use of MTX and biologics did not improve ACR efficacy outcomes versus biologic monotherapy. MTX does not appear to be necessary as a background therapy when biologics are used for the achievement of ACR20/50 responses in patients with PsA.
", "keywords": ["Adult", "Biological Products", "Psoriatic Arthritis", "Arthritis", " Psoriatic", "Network Meta-Analysis", "R", "Antibodies", " Monoclonal", "Bayes Theorem", "United States", "3. Good health", "Arthritis", " Rheumatoid", "03 medical and health sciences", "Methotrexate", "0302 clinical medicine", "Antirheumatic Agents", "Medicine", "Humans", "Tumor Necrosis Factor Inhibitors"]}, "links": [{"href": "https://doi.org/PMC10831472"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/RMD%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC10831472", "name": "item", "description": "PMC10831472", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC10831472"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "3b08f0fc-f209-425f-86e1-f106f29f4ee6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "climate"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Winter wheat"}, {"id": "yield development"}, {"id": "nitrogen fertilization experiments"}, {"id": "climate change"}, {"id": "climate effects"}, {"id": "phenology"}, {"id": "meta-analysis"}, {"id": "mixed-effect analysis"}, {"id": "soil types"}, {"id": "soil quality rating"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Climate change impact"}, {"id": "climatic change"}, {"id": "environmental impact"}, {"id": "environmental statistics"}, {"id": "data analysis"}, {"id": "statistical analysis"}, {"id": "field experiment"}, {"id": "soil"}, {"id": "heat stress"}, {"id": "water stress"}, {"id": "Land use"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the research activities of the DFG funded project 'Data-Meta Analysis to assess the productivity development of cultivated plants'\"(Grant number: Stu 127/19-3) at the Institute of Horticultural Production Systems of the Faculty of Natural Sciences at the Leibniz Universit\u00e4t Hanover (LUH). Although every care has been taken in preparing and testing the data, the above mentioned project and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the above mentioned project and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The above mentioned project and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-12", "type": "Dataset", "created": "2020-01-28", "language": "eng", "title": "Dataset of winter wheat yields in Germany between 1958 and 2015 from N-fertilization experiments - TRIAL_SITES", "description": "This data set (TRIAL_SITES) is the starting point of a larger data set that contains data and information used in the study \u201cYield development of German winter wheat between 1958 and 2015\u201d in the Project \u201cData-Meta Analysis to assess the productivity development of cultivated plants\u201d funded by the DFG. This starting table contains geographical and environmental information about the experimental sites at which the N-fertilisation experiments were conducted. Amon other topics, this data set can be mainly used to analyse the impact of climatic changes on the development of winter wheat in Germany.\n\nThe data set comprises following data:\n- Winter wheat (Triticum aestivum) yields and nitrogen application amounts from nitrogen fertilization experiments of variable duration (1-6 years) carried out at 43 locations across Germany, between 1958 and 2015, and found in 34 different sources in the literature.\n- The derived maximum yields (Ymax) and optimal nitrogen amounts (Nopt) from the nitrogen experiments, function coefficients, and statistics.\n- Geographical information (latitude, longitude, altitude) and other site specific information of the experimental sites (soil type, soil yield potential, mean annual temperature, mean annual precipitation, mean annual climatic water balance, soil climate region, cultivation region).\n- Processed phenological and climatic data for each experimental site.", "formats": [{"name": "CSV"}], "keywords": ["climate", "Winter wheat", "yield development", "nitrogen fertilization experiments", "climate change", "climate effects", "phenology", "meta-analysis", "mixed-effect analysis", "soil types", "soil quality rating", "opendata", "Climate change impact", "climatic change", "environmental impact", "environmental statistics", "data analysis", "statistical analysis", "field experiment", "soil", "heat stress", "water stress", "Land use", "Boden"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Eric B\u00f6necke", "organization": "Leibniz University Hanover", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 511 762-19269"}], "emails": [{"value": "boenecke@igzev.de, boenecke@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hanover", "administrativeArea": "Lower Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Laura Breitsameter", "organization": "Leibniz University Hanover", "position": null, "roles": ["author"], "phones": [{"value": "+49 511 762-19269"}], "emails": [{"value": "breitsameter@igzev.de, boenecke@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hanover", "administrativeArea": "Lower Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Nicolas Br\u00fcggeman", "organization": "Research Centre Julich", "position": "Professor", "roles": ["author"], "phones": [{"value": "+49 246 161 8643"}], "emails": [{"value": "n.brueggemann@fz-juelich.de"}], "addresses": [{"deliveryPoint": ["Wilhelm-Johnen-Stra\u00dfe"], "city": "Julich", "administrativeArea": "North Rhine-Westphalia", "postalCode": "52428", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Till Feike", "organization": "Julius Kuehn-Institute", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 332 034 8312"}], "emails": [{"value": "til.feike@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Stahnsdorfer Damm 81"], "city": "Kleinmachnow", "administrativeArea": "Brandenburg", "postalCode": "14532", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Henning Kage", "organization": "Christian-Albrechts-University Kiel", "position": "Professor", "roles": ["author"], "phones": [{"value": "+49 431 880 3472"}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": ["Hermann-Rodewald-Str. 9"], "city": "Kiel", "administrativeArea": "Schleswig-Holstein", "postalCode": "24118", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kurt-Christian Kersebaum", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": "Scienctist", "roles": ["author"], "phones": [{"value": "+49 334 328 2394"}], "emails": [{"value": "ckersebaum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Stra\u00dfe 84"], "city": "Muencheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hartmut St\u00fctzel", "organization": "Leibniz University Hanover", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 511 762 2635"}], "emails": [{"value": "st\u00fctzel@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hanover", "administrativeArea": "Lower-Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hartmut St\u00fctzel", "organization": "Leibniz University Hanover", "position": "Professor", "roles": ["author"], "phones": [{"value": "+49 511 762 2635"}], "emails": [{"value": "st\u00fctzel@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hanover", "administrativeArea": "Lower-Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Research Centre Julich;Christian-Albrechts-University Kiel;Leibniz University Hanover;Julius Kuehn-Institute;Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3b08f0fc-f209-425f-86e1-f106f29f4ee6", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3b08f0fc-f209-425f-86e1-f106f29f4ee6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3b08f0fc-f209-425f-86e1-f106f29f4ee6", "name": "item", "description": "3b08f0fc-f209-425f-86e1-f106f29f4ee6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3b08f0fc-f209-425f-86e1-f106f29f4ee6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-12T00:00:00Z"}}, {"id": "10.5281/zenodo.7404592", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Project"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "EJPSoil"}], "scheme": "Source"}], "updated": "2025-04-01", "type": "Dataset", "language": "en", "externalIds": [{"value": "https://doi.org/10.5281/zenodo.7404592"}], "title": "Databases to: Soil Organic Carbon Under Conservation Agriculture In Mediterranean And Humid Subtropical Climates: Global Meta-Analysis", "formats": [{"name": "www"}, {"name": "canonical"}], "keywords": ["soil organic carbon", "meta-analysis", "effect size", "synthesis", "conservation agriculture", "mediterranean", "Humid Subtropical", "SOC", "Project", "EJPSoil"], "contacts": [{"name": "Tadiello, Tommaso", "organization": null, "position": null, "roles": ["Tadiello-Tommaso"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Acutis, Marco", "organization": null, 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