{"type": "FeatureCollection", "features": [{"id": "10.1002/maco.201810655", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:00Z", "type": "Journal Article", "created": "2019-04-04", "title": "Volatilization kinetics of chromium oxide, manganese oxide, and manganese chromium spinel at high temperatures in environments containing water vapor", "description": "Abstract<p>Performance degradation of solid oxide fuel cells due to chromium volatilization is a well\uffe2\uff80\uff90investigated issue in the literature. Therefore, retention coatings were developed to distinctly reduce the chromium volatilization. One approach was by alloying with manganese to ferritic steels to form manganese chromium spinel which is reported to decrease chromium volatilization by 61\uffe2\uff80\uff9375%. In the present paper, the volatilization rates of pure manganese chromium spinel ceramics were examined as well as those of the two oxides forming this spinel\uffe2\uff80\uff94pure chromium oxide and pure manganese oxide\uffe2\uff80\uff94in synthetic air containing 10% water vapor (high p(O2)) and argon/hydrogen containing 10% water vapor (low p(O2)) at 850\uffc2\uffb0C, 950\uffc2\uffb0C, and 1,050\uffc2\uffb0C. Chromium oxide showed higher volatilization rates in high p(O2), whereas manganese oxide demonstrated higher volatilization rates in low p(O2). Contradictory to the literature, manganese chromium spinel displayed the highest volatilization rates in both atmospheres and nonlinear kinetics behavior. This deviation from linear behavior can be attributed to diffusion\uffe2\uff80\uff90controlled volatilization in high p(O2).</p>", "keywords": ["0103 physical sciences", "02 engineering and technology", "0210 nano-technology", "01 natural sciences", "chromium oxide", " diffusion\u2010controlled volatilization", " manganese chromium spinel", " manganese oxide", " water vapor corrosion"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/maco.201810655"}, {"href": "https://doi.org/10.1002/maco.201810655"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Materials%20and%20Corrosion", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/maco.201810655", "name": "item", "description": "10.1002/maco.201810655", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/maco.201810655"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-03T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2010.06.047", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:40Z", "type": "Journal Article", "created": "2010-07-06", "title": "Trace Element Availability In A Sewage Sludge-Amended Cotton Grown Mediterranean Soil", "description": "Long-term field investigations on the use of biosolids are scarce in the Mediterranean region, especially on non-food high-profit crops. Thus we studied the effects of repeated sludge application for 4 yr on trace element (both essential and non-essential) availability to cotton, by applying sludge at four increasing rates up to 50 Mg ha(-1). Although sludge had low metal concentrations, sludge-added trace element availability (assessed with soil-to-plant transfer coefficient) was higher in the first year compared to those in the subsequent years of experiment, but it decreased with time to the value of the unamended control. This shows that trace element mobility can be reduced within a time-scale of a few years, provided soils have a relatively sufficient retention capacity (high CEC, clay, and non-acidic pH) and applied sludge has low heavy metal content. We also found that sludge-borne organic matter greatly affected metal availability, since metal transfer coefficients decreased with elevated organic matter content.", "keywords": ["2. Zero hunger", "Gossypium", "Manganese", "Greece", "Sewage", "Climate", "04 agricultural and veterinary sciences", "01 natural sciences", "6. Clean water", "Trace Elements", "12. Responsible consumption", "Plant Leaves", "Zinc", "Biodegradation", " Environmental", "Lead", "Nickel", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Copper", "Cadmium", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2010.06.047"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2010.06.047", "name": "item", "description": "10.1016/j.chemosphere.2010.06.047", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2010.06.047"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-09-01T00:00:00Z"}}, {"id": "10.1016/j.ecoenv.2005.10.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:43Z", "type": "Journal Article", "created": "2005-12-22", "title": "Heavy Metal Concentrations In Ground Beetles, Leaf Litter, And Soil Of A Forest Ecosystem", "description": "The objective of this study was to quantify the relationships between heavy metal concentrations in soil, leaf litter, and ground beetles at four sampling sites of a forest ecosystem in Medvednica Nature Park, Croatia. Ground beetles were sampled by pitfall trapping. Specimens were dry-ashed and soil and beetle samples digested with nitric acid. Lead, cadmium, copper, zinc, manganese, and iron were analyzed using atomic absorption spectrometry. Statistically significant differences between plots were found for lead, cadmium, and iron in ground beetles. Correlations between ground beetles and soil or leaf litter were positive for lead and cadmium concentrations and negative for iron concentration. Differences in species metal concentrations were recorded. Higher concentrations of all studied metals were found in female beetles. However, a significant difference between sexes was found only for manganese. Significant differences in species metal concentrations were found for species that differ in feeding strategies and age based on breeding season and emergence of young adults.", "keywords": ["Male", "cadmium", "Croatia", "arthropods; biological indicator; cadmium; copper; iron; lead; manganese; zinc; Medvednica Nature Park; Croatia", "arthropods", "01 natural sciences", "Trees", "Soil", "iron", "Sex Factors", "Metals", " Heavy", "Animals", "Ecosystem", "0105 earth and related environmental sciences", "lead", "Spectrophotometry", " Atomic", "zinc", "biological indicator", "15. Life on land", "Coleoptera", "Plant Leaves", "copper", "manganese", "Female", "Medvednica Nature Park", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoenv.2005.10.017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology%20and%20Environmental%20Safety", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoenv.2005.10.017", "name": "item", "description": "10.1016/j.ecoenv.2005.10.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoenv.2005.10.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.1016/j.tplants.2023.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:11Z", "type": "Journal Article", "created": "2023-02-27", "title": "Heritage genetics for adaptation to marginal soils in barley", "description": "Future crops need to be sustainable in the face of climate change. Modern barley varieties have been bred for high productivity and quality; however, they have suffered considerable genetic erosion, losing crucial genetic diversity. This renders modern cultivars vulnerable to climate change and stressful environments. We highlight the potential to tailor crops to a specific environment by utilising diversity inherent in an adapted landrace population. Tapping into natural biodiversity, while incorporating information about local environmental and climatic conditions, allows targeting of key traits and genotypes, enabling crop production in marginal soils. We outline future directions for the utilisation of genetic resources maintained in landrace collections to support sustainable agriculture through germplasm development via the use of genomics technologies and big data.", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "EFFICIENCY", "genetic resilience", "IMPACT", "/dk/atira/pure/subjectarea/asjc/1100/1110", "630", "12. Responsible consumption", "diversity", "Soil", "03 medical and health sciences", "FUTURE", "MANGANESE DEFICIENCY", "PLANTS", "2. Zero hunger", "580", "0303 health sciences", "barley landraces", "Hordeum", "Agriculture", "15. Life on land", "LANDRACES", "Adaptation", " Physiological", "CULTIVARS", "CLIMATE", "Plant Breeding", "climate change", "marginal soil", "13. Climate action", "name=Plant Science", "local adaptation", "RESISTANCE"]}, "links": [{"href": "https://doi.org/10.1016/j.tplants.2023.01.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Trends%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.tplants.2023.01.008", "name": "item", "description": "10.1016/j.tplants.2023.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.tplants.2023.01.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-01T00:00:00Z"}}, {"id": "10.1071/ar00043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:55Z", "type": "Journal Article", "created": "2002-09-16", "title": "Effects Of Lime And Gypsum On Growth Of Sweet Potato In Two Strongly Acid Soils", "description": "<p> There were strong relationships between exchangeable aluminium (Al) and relative top yield, and between soil pH and relative top yield in the Garret and Bisinella soils. Sweet potato plants produced maximum top yields at soil exchangeable Al &lt;3.0 cmol ((+)/kg, with a 10% yield reduction coinciding with a value of approximately 5.0 cmol (+)/kg. The value was lower for the Bisinella soil than the Garret soil. In the case of pH, maximum yield in both soils was evident at a soil pH of 5.0 with 90% of maximum yield being achieved at about pH 4.7. These results suggest that soil pH would be a good index for Al toxicity. The close relationships between sweet potato growth and both exchangeable Al and soil pH need to be explored further to determine whether it will hold across a wide range of acid soil groups.</p>", "keywords": ["2. Zero hunger", "Manganese", "Multidisciplinary", "Ph", "Cultivars", "Agriculture", "04 agricultural and veterinary sciences", "C1", "Land and Farm Management", "Subsoil Horizons", "0401 agriculture", " forestry", " and fisheries", "Calcium", "Root Elongation", "Aluminum", "0701 Agriculture"], "contacts": [{"organization": "Ilaava, Vele P., Blamey, Pax, Asher, Colin J.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1071/ar00043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Australian%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/ar00043", "name": "item", "description": "10.1071/ar00043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/ar00043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2000-01-01T00:00:00Z"}}, {"id": "10.1111/j.1438-8677.2011.00552.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:51Z", "type": "Journal Article", "created": "2012-01-30", "title": "Water Regime And Growth Of Young Oak Stands Subjected To Air-Warming And Drought On Two Different Forest Soils In A Model Ecosystem Experiment", "description": "Abstract<p>Global climate change is expected to increase annual temperatures and decrease summer precipitation in Central Europe. Little is known of how forests respond to the interaction of these climate factors and if their responses depend on soil conditions. In a 3\uffe2\uff80\uff90year lysimeter experiment, we investigated the growth response of young mixed oak stands, on either acidic or calcareous soil, to soil water regime, air\uffe2\uff80\uff90warming and drought treatments corresponding to an intermediate climate change scenario. The air\uffe2\uff80\uff90warming and drought treatments were applied separately as well as in combination. The air\uffe2\uff80\uff90warming treatment had no effect on soil water availability, evapotranspiration or stand biomass. Decreased evapotranspiration from the drought\uffe2\uff80\uff90exposed stands led to significantly higher air and soil temperatures, which were attributed to impaired transpirational cooling. Water limitation significantly reduced the stand foliage, shoot and root biomass as droughts were severe, as shown in low leaf water potentials. Additional air warming did not enhance the drought effects on evapotranspiration and biomass, although more negative leaf water potentials were observed. After re\uffe2\uff80\uff90watering, evapotranspiration increased within a few days to pre\uffe2\uff80\uff90drought levels. Stands not subjected to the drought treatment produced significantly less biomass on the calcareous soil than on the acidic soil, probably due to P or Mn limitation. There was no difference in biomass and water regime between the two soils under drought conditions, indicating that nutrient availability was governed by water availability under these conditions. The results demonstrate that young oak stands can cope with severe drought and therefore can be considered for future forestry.</p>", "keywords": ["0301 basic medicine", "0106 biological sciences", "Hot Temperature", "Global Warming", "01 natural sciences", "Trees", "03 medical and health sciences", "Quercus", "Soil", "Stress", " Physiological", "Root: shoot ratio", "Soil temperature", "Biomass", "Ecosystem", "Manganese", "Evapotranspiration", "Air", "Water use efficiency", "Water", "Phosphorus", "Plant Transpiration", "04 agricultural and veterinary sciences", "15. Life on land", "Adaptation", " Physiological", "6. Clean water", "Droughts", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Plant Structures", "Soil-plant interactions"]}, "links": [{"href": "https://doi.org/10.1111/j.1438-8677.2011.00552.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1438-8677.2011.00552.x", "name": "item", "description": "10.1111/j.1438-8677.2011.00552.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1438-8677.2011.00552.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-30T00:00:00Z"}}, {"id": "10.1111/tpj.15611", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:05Z", "type": "Journal Article", "created": "2021-11-28", "title": "Root\u2010to\u2010shoot iron partitioning in Arabidopsis requires IRON\u2010REGULATED TRANSPORTER1 (IRT1) protein but not its iron(II) transport function", "description": "SUMMARY<p>IRON\uffe2\uff80\uff90REGULATED TRANSPORTER1 (IRT1) is the root high\uffe2\uff80\uff90affinity ferrous iron (Fe) uptake system and indispensable for the completion of the life cycle of Arabidopsis thaliana without vigorous Fe supplementation. Here we provide evidence supporting a second role of IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot partitioning of Fe. We show that irt1 mutants overaccumulate Fe in roots, most prominently in the cortex of the differentiation zone in irt1\uffe2\uff80\uff902, compared to the wild type. Shoots of irt1\uffe2\uff80\uff902 are severely Fe\uffe2\uff80\uff90deficient according to Fe content and marker transcripts, as expected. We generated irt1\uffe2\uff80\uff902 lines producing IRT1 mutant variants carrying single amino\uffe2\uff80\uff90acid substitutions of key residues in transmembrane helices IV and V, Ser206 and His232, which are required for transport activity in yeast. Root short\uffe2\uff80\uff90term 55Fe uptake rates were uninformative concerning IRT1\uffe2\uff80\uff90mediated transport. Overall irt1\uffe2\uff80\uff90like concentrations of the secondary substrate Mn suggested that the transgenic Arabidopsis lines also remain incapable of IRT1\uffe2\uff80\uff90mediated root Fe uptake. Yet, IRT1S206A partially complements rosette dwarfing and leaf chlorosis of irt1\uffe2\uff80\uff902, as well as root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning and gene expression defects of irt1\uffe2\uff80\uff902, all of which are fully complemented by wild\uffe2\uff80\uff90type IRT1. Taken together, these results suggest a regulatory function for IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning that does not require Fe transport activity of IRT1. Among the genes of which transcript levels are partially dependent on IRT1, we identify MYB DOMAIN PROTEIN10, MYB DOMAIN PROTEIN72 and NICOTIANAMINE SYNTHASE4 as candidates for effecting IRT1\uffe2\uff80\uff90dependent Fe mobilization in roots. Understanding the biological functions of IRT1 will help to improve Fe nutrition and the nutritional quality of agricultural crops.</p", "keywords": ["0301 basic medicine", "570", "metal", "Arabidopsis", "NRAMP1", "NAS4", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "Plant Roots", "03 medical and health sciences", "Fe2+", "iron deficiency", "transceptor", "http://metadata.un.org/sdg/2", "Gene Expression Regulation", " Plant", "homeostasis", "MYB10", "Homeostasis", "ddc:580", "Ferrous Compounds", "MYB72", "Cation Transport Proteins", "Nutrition", "580", "2. Zero hunger", "0303 health sciences", "Metal", "Arabidopsis Proteins", "iron uptake", "Iron-Regulatory Proteins", "Biological Transport", "Cell Differentiation", "15. Life on land", "Plant Leaves", "nutrition", "manganese", "Transcriptome", "ZIP", "Plant Shoots"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.15611"}, {"href": "https://doi.org/10.1111/tpj.15611"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/tpj.15611", "name": "item", "description": "10.1111/tpj.15611", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/tpj.15611"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-14T00:00:00Z"}}, {"id": "10.1594/pangaea.922724", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:44Z", "type": "Journal Article", "title": "Yedoma domain Mineral Concentrations Assessment (YMCA)", "description": "Mineral elements play a crucial role for organic carbon stabilization, which is key for organic carbon mineralization rates in soils. With thawing permafrost, especially in ice-rich regions such as the Yedoma domain, vast amounts of organic carbon previously stored in deep frozen deposits are unlocked and therefore available to undergo microbial mineralization leading to potential carbon dioxide and methane emissions. Mineral elements interfere with organic carbon degradation through various processes: i) mineral protection (aggregation, adsorption, and complexation) stabilizes organic carbon and mitigates its mineralization, and ii) change in mineral nutrients availability affects microorganisms growth and metabolic activity. Despite huge efforts to assess organic carbon stocks and lability in permafrost regions, there is a lack of studies on the mineral component assessment, which we aim to close with this dataset. Here, we provide a large-scale Yedoma domain Mineral Concentrations Assessment (YMCA) dataset of never thawed (since deposition) ice-rich Yedoma permafrost and previously thawed and partly refrozen Alas deposits. We used a portable X-ray fluorescence device (pXRF) for Si, Al, Fe, Ca, K, Ti, Mn, Zn, Sr and Zr concentration measurements on 1,292 sediment samples. Portable XRF measured concentrations trueness was calibrated using standard alkaline fusion and ICP-OES measurement from a subset of 144 samples (R\u00b2 from 0.725 to 0.996). This methodology lead to the creation of the Yedoma domain Mineral Concentration Assessment (YMCA) dataset, a necessary step to estimate mineral element stocks in never thawed Yedoma and previously thawed Alas deposits. Practically, the YMCA dataset is organized as follow: (i) all site and sample properties: sample ID, type of deposit, site location, profile ID, GPS coordinates, country, lithology, unconsolidated sediment type, geological epoch, samples depth below surface level (b.s.l) or height above sea/river level (a.s.l), sediment characteristics, bulk density, gravimetric and absolute ice content, total organic carbon content; (ii) the Si, Al, Fe, Ca, K, Ti, Mn, Zn, Sr and Zr concentrations (corrected based on linear regressions) in Yedoma and Alas deposits (n=1292).", "keywords": ["Density", "Permafrost", "Profile ID", "gravimetric", "Density", " bulk", " permafrost", "Aluminium", "total", "Sample code/label", "Portable X ray fluorescence device", "Titanium", "Mineral element", "Yedoma", "Portable X-ray fluorescence device", "Description", "Number", "Lithology/composition/facies", "Sample code label", "6. Clean water", "Deposit type", "Country", "sediment rock", "Zinc", "Earth System Research", "Alas", "Profile", "Silicon", "Lithology composition facies", "Height above sea level", "organic", "Iron", "Site", "DEPTH", " sediment/rock", "bulk", "Ice content", " gravimetric", "LONGITUDE", "Organic carbon", "Manganese", "Sediment type", "organic carbon", "15. Life on land", "Ice content", "Carbon", "Epoch", "Sample ID", "13. Climate action", "Strontium", "DEPTH", "LATITUDE", "Potassium", "Calcium", "Zirconium", "permafrost", "Carbon", " organic", " total"]}, "links": [{"href": "https://doi.org/10.1594/pangaea.922724"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.922724", "name": "item", "description": "10.1594/pangaea.922724", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.922724"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.5061/dryad.51r23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:24Z", "type": "Dataset", "title": "Data from: Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million year dune chronosequence", "description": "unspecifiedJurien Bay leaf nutrient dataDescription Leaf nutrient concentration and  C/N stable isotope data for 18 plant species across five dune  chronosequence stages along the Jurien Bay chronosequence. Format A data  frame with 508 observations on the following 22 variables: plot factor  with names of 50 10x10-m plots stage factor indicating chronosequence  stage (1 = youngest, 5 = oldest) species factor with full plant species  names state factor with leaf state: mature or senesced date sampling date  ICP factor stating whether nutrients other than C and N were analysed with  a radial or axial ICP equipment for each sample C leaf carbon  concentration (%) Ca leaf calcium concentration (microg g^-1) Cd leaf  boron concentration (microg g^-1) Cu leaf copper concentration (microg  g^-1) Fe leaf iron concentration (microg g^-1) K leaf potassium  concentration (microg g^-1) Mg leaf magnesium concentration (microg g^-1)  Mn leaf manganese concentration (microg g^-1) Mo leaf molybdenum  concentration (microg g^-1) Na leaf sodium concentration (microg g^-1) P  leaf phosphorus concentration (microg g^-1) S leaf sulfur concentration  (microg g^-1) Zn leaf zinc concentration (microg g^-1) N leaf nitrogen  concentration (microg g^-1) d15N delta-N-15 (permil Air) d13C delta-C-13  (permil VPDB) Details For leaf sampling, we used 50 plots (10 m x 10 m  each) from five chronosequence stages where vegetation had been  characterised previously. Using the vegetation survey data, we ranked  species in each of the five chronosequence stages from the most to the  least abundant, based on canopy cover estimates. We then selected 5\u20137  species from each stage, targeting the most abundant species for each of  four contrasting nutrient-acquisition strategies: arbuscular mycorrhizal  (AM), ectomycorrhizal (EM), N-fixing (NF) and non-mycorrhizal (NM) (see  juriensp for strategies). Ericoid mycorrhizal species were not considered  because they were not among the most abundant species. We note that  N-fixing species are generally AM and/or EM, but we considered them as a  separate group because they often show high foliar [N]. Species were  selected from the ten most-abundant species per stage, with the exception  of stage 4 where the 18 most-abundant species were considered. The  selected species accounted for between 38% (stage 5) and 65% (stage 1) of  the total canopy cover of each stage. A total of 18 species were selected  for leaf sampling. All leaf material was collected over a two-month period  between late March and early May 2012, near the end of the dry summer  season. In each of the 50 plots, only healthy mature individuals were  selected for sampling. In general, mature and senesced leaves were sampled  from one individual plant per species in each plot. A species was  considered absent from a plot if it could not be found within ~30 m of its  centre. The number of individual collections (one collection = both mature  and senesced leaves) per species in each chronosequence stage ranged from  five to ten. In each case, representative samples of mature and senesced  leaves were collected using nitrile gloves in order to minimise sample  contamination. Leaves were not washed prior to nutrient analyses but we  consider dust contamination to be highly unlikely, given the sandy nature  of the soils. Mature leaves were undamaged, fully expanded and exposed to  full sunlight. In most cases, senesced leaves were collected directly from  the plant by gently shaking the plant and collecting fallen leaves.  Senesced leaves were easily distinguished from green leaves, since they  were yellow or brown and detached easily from the plant. However, for a  few species it was not possible to collect senesced leaves from live  plants, in which case senesced leaves were collected directly beneath the  plant from recently fallen litter. In all cases, there was no visible  degradation of senesced leaves collected from this litter, which had  predominantly fallen during the summer and had not been exposed to any  significant rain between litter fall and collection. Therefore, we assumed  that losses of nutrients through leaching or decomposition were minimal,  although some photodegradation may have occurred. A total of 508 leaf  samples (mature and senesced) were collected for nutrient analyses. Each  leaf sample was oven-dried (70 degrees C, 48 h) and finely ground using a  Teflon-coated stainless steel ball mill. A subsample was analysed for  carbon (C) and nitrogen (N) concentrations using a continuous-flow system  consisting of a SERCON 20-22 mass spectrometer connected with an automated  nitrogen/carbon analyser (Sercon, Crewe, UK). Stable isotopes of C and N  were analysed using a continuous flow system consisting of a SERCON 20-22  mass spectrometer connected with an automated N/C analyser (Sercon, Crewe,  UK). These analyses were done at the Western Australian Biogeochemistry  Centre, located at the University of Western Australia. A second subsample  was acid-digested using concentrated HNO3:HClO4 (3:1) and analysed for Ca,  Cd, Cu, Fe, K, Mg, Mn, Mo, Na, P, S and Zn concentrations using  inductively coupled plasma-atomic emission spectrometry (ICP-AES;  ChemCentre, Perth, Australia). All digests were first analysed using a  simultaneous Varian Vista Pro (Australia), radially configured ICP-AES  equipment fitted with a charge-coupled device (CCD) detection system and  an A.I. Scientific AIM-3600 auto-sampler. Samples with P concentrations  close to minimum reporting limit were re-run on more sensitive  axially-configured ICP-AES equipment. The ICP analyses were done at the WA  Chemcentre.jurienleafnut.csv", "keywords": ["Banksia leptophylla", "soil fertility gradient", "nutrient-resorption efficiency", "Acacia rostellifera", "Acanthocarpus preissii", "Spyridium globulosum", "Conostylis candicans", "Banksia attenuata", "Jacksonia floribunda", "Scaevola crassifolia", "nutrient-use efficiency", "Holocene", "manganese accumulation", "nutrient-resorption proficiency", "Mesomelaena pseudostygia", "Phosphorus", "Melaleuca systena", "15. Life on land", "Olearia axillaris", "Banksia menziesii", "Lepidosperma squamatum", "Hardenbergia comptoniana", "Melaleuca leuropoma", "Zinc", "Banksia sessilis", "Hibbertia hypericoides", "Acacia spathulifolia"], "contacts": [{"organization": "Hayes, Patrick, Turner, Benjamin L., Lambers, Hans, Lalibert\u00e9, Etienne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51r23"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51r23", "name": "item", "description": "10.5061/dryad.51r23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51r23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-18T00:00:00Z"}}, {"id": "10.3390/w10101476", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:07Z", "type": "Journal Article", "created": "2018-10-19", "title": "The Impact of River Discharge and Water Temperature on Manganese Release from the Riverbed during Riverbank Filtration: A Case Study from Dresden, Germany", "description": "<p>The climate-related variables, river discharge, and water temperature, are the main factors controlling the quality of the bank filtrate by affecting infiltration rates, travel times, and redox conditions. The impact of temperature and discharge on manganese release from a riverbed were assessed by water quality data from a monitoring transect at a riverbank filtration site in Dresden-Tolkewitz. Column experiments with riverbed material were used to assess the Mn release for four temperature and three discharge conditions, represented by varying infiltration rates. The observed Mn release was modeled as kinetic reactions via Monod-type rate formulations in PHREEQC. The temperature had a bigger impact than the infiltration rates on the Mn release. Infiltration rates of &lt;0.3 m3/(m2\uffc2\uffb7d) required temperatures &gt;20 \uffc2\uffb0C to trigger the Mn release. With increasing temperatures, the infiltration rates became less important. The modeled consumption rates of dissolved oxygen are in agreement with results from other bank filtration sites and are potentially suited for the further application of the given conditions. The determined Mn reduction rate constants were appropriate to simulate Mn release from the riverbed sediments but seemed not to be suited for simulations in which Mn reduction is likely to occur within the aquifer. Sequential extractions revealed a decrease of easily reducible Mn up to 25%, which was found to reflect the natural stratification within the riverbed, rather than a depletion of the Mn reservoir.</p>", "keywords": ["riverbank filtration", "droughts", "PHREEQC", "0208 environmental biotechnology", "0207 environmental engineering", "column experiments", "02 engineering and technology", "6. Clean water", "climate change", "13. Climate action", "floods", "manganese", "riverbed", "organic matter degradation"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/10/1476/pdf"}, {"href": "https://doi.org/10.3390/w10101476"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10101476", "name": "item", "description": "10.3390/w10101476", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10101476"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-19T00:00:00Z"}}, {"id": "10.5517/cc1jl24b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:42Z", "type": "Dataset", "title": "CCDC 1417541: Experimental Crystal Structure Determination", "description": "unspecifiedAn entry from the Cambridge Structural Database, the world\u2019s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.", "keywords": ["Space Group", "Crystallography", "(mu-cyclopentadienyl(ethoxy)methylidene)-(eta5-cyclopentadienyl)-pentacarbonyl-di-manganese", "Crystal System", "Crystal Structure", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Fraser, Roan, Van Rooyen, Petrus H., Landman, Maril\u00e9,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5517/cc1jl24b"}, {"rel": "self", "type": "application/geo+json", "title": "10.5517/cc1jl24b", "name": "item", "description": "10.5517/cc1jl24b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5517/cc1jl24b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5517/ccyl59z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:43Z", "type": "Dataset", "title": "CCDC 881401: Experimental Crystal Structure Determination", "description": "unspecifiedRelated Article: Lu-Fang Ma, Min-Le Han, Jian-Hua Qin, Li-Ya Wang, Miao Du|2012|Inorg.Chem.|51|9431|doi:10.1021/ic3012537", "keywords": ["catena-(bis(mu~6~-5-t-Butylisophthalato)-bis(mu~4~-5-t-butylisophthalato)-(mu~2~-1", "1'-propane-1", "3-diylbis(1H-imidazole))-tetra-manganese dihydrate)", "Space Group", "Crystallography", "Crystal System", "Crystal Structure", "Cell Parameters", "Experimental 3D Coordinates"], "contacts": [{"organization": "Ma, Lu-Fang, Han, Min-Le, Qin, Jian-Hua, Wang, Li-Ya, Du, Miao,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5517/ccyl59z"}, {"rel": "self", "type": "application/geo+json", "title": "10.5517/ccyl59z", "name": "item", "description": "10.5517/ccyl59z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5517/ccyl59z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "11343/310023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:48Z", "type": "Journal Article", "created": "2021-11-28", "title": "Root\u2010to\u2010shoot iron partitioning in Arabidopsis requires IRON\u2010REGULATED TRANSPORTER1 (IRT1) protein but not its iron(II) transport function", "description": "SUMMARY<p>IRON\uffe2\uff80\uff90REGULATED TRANSPORTER1 (IRT1) is the root high\uffe2\uff80\uff90affinity ferrous iron (Fe) uptake system and indispensable for the completion of the life cycle of Arabidopsis thaliana without vigorous Fe supplementation. Here we provide evidence supporting a second role of IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot partitioning of Fe. We show that irt1 mutants overaccumulate Fe in roots, most prominently in the cortex of the differentiation zone in irt1\uffe2\uff80\uff902, compared to the wild type. Shoots of irt1\uffe2\uff80\uff902 are severely Fe\uffe2\uff80\uff90deficient according to Fe content and marker transcripts, as expected. We generated irt1\uffe2\uff80\uff902 lines producing IRT1 mutant variants carrying single amino\uffe2\uff80\uff90acid substitutions of key residues in transmembrane helices IV and V, Ser206 and His232, which are required for transport activity in yeast. Root short\uffe2\uff80\uff90term 55Fe uptake rates were uninformative concerning IRT1\uffe2\uff80\uff90mediated transport. Overall irt1\uffe2\uff80\uff90like concentrations of the secondary substrate Mn suggested that the transgenic Arabidopsis lines also remain incapable of IRT1\uffe2\uff80\uff90mediated root Fe uptake. Yet, IRT1S206A partially complements rosette dwarfing and leaf chlorosis of irt1\uffe2\uff80\uff902, as well as root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning and gene expression defects of irt1\uffe2\uff80\uff902, all of which are fully complemented by wild\uffe2\uff80\uff90type IRT1. Taken together, these results suggest a regulatory function for IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning that does not require Fe transport activity of IRT1. Among the genes of which transcript levels are partially dependent on IRT1, we identify MYB DOMAIN PROTEIN10, MYB DOMAIN PROTEIN72 and NICOTIANAMINE SYNTHASE4 as candidates for effecting IRT1\uffe2\uff80\uff90dependent Fe mobilization in roots. Understanding the biological functions of IRT1 will help to improve Fe nutrition and the nutritional quality of agricultural crops.</p", "keywords": ["0301 basic medicine", "570", "metal", "Arabidopsis", "NRAMP1", "NAS4", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "Plant Roots", "03 medical and health sciences", "Fe2+", "iron deficiency", "transceptor", "http://metadata.un.org/sdg/2", "Gene Expression Regulation", " Plant", "homeostasis", "MYB10", "Homeostasis", "ddc:580", "Ferrous Compounds", "MYB72", "Cation Transport Proteins", "Nutrition", "580", "2. Zero hunger", "0303 health sciences", "Metal", "Arabidopsis Proteins", "iron uptake", "Iron-Regulatory Proteins", "Biological Transport", "Cell Differentiation", "15. Life on land", "Plant Leaves", "nutrition", "manganese", "Transcriptome", "ZIP", "Plant Shoots"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.15611"}, {"href": "https://doi.org/11343/310023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11343/310023", "name": "item", "description": "11343/310023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11343/310023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-14T00:00:00Z"}}, {"id": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Zea mays"}, {"id": "Poaceae"}, {"id": "Shoots"}, {"id": "leaves"}, {"id": "Nitrates"}, {"id": "Nitrogen"}, {"id": "Elements"}, {"id": "Chlorophylls"}, {"id": "nutrient cycling in ecosystems"}, {"id": "Plant morphology"}, {"id": "Catch cropping"}, {"id": "Crop rotation"}, {"id": "Catch crops"}, {"id": "Sinapis alba"}, {"id": "Phacelia tanacetifolia"}, {"id": "Mustard"}, {"id": "Trifolium alexandrinum"}, {"id": "Mustard"}, {"id": "Phacelia"}, {"id": "oats"}, {"id": "maize"}, {"id": "Phosphorus"}, {"id": "Potassium"}, {"id": "Iron"}, {"id": "Carbon"}, {"id": "Magnesium"}, {"id": "Zinc"}, {"id": "Manganese"}, {"id": "Tillering"}, {"id": "biomass"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Maize"}, {"id": "Nutritional state"}, {"id": "pre-grown catch crops mineral elements"}, {"id": "opendata"}], "scheme": "Individual"}], "rights": "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 BonaRes Module A-Project - CATCHY's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and 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 BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2019-06-17", "type": "Dataset", "created": "2019-01-09", "language": "eng", "title": "Shoot development and nutritional status of maize 1st crop rotation cycle", "description": "A central aspect when including catch crops into a crop rotation is the conservation of nutrients in their biomass for the subsequently grown crop. However, the nutrient carry-over to the following crop depends not only on the amount of nutrients accumulated in individual catch crop plant materials but also on the specific degradation properties of their tissues, i.e. the temporal quantitative and qualitative release of scavenged nutrients. In our experiment we investigated the morphological and nutritional response of maize to 6 different pre-grown catch crop variants including pure stands and mixtures. \nAt two field sites in Germany (Asendorf - Lower Saxony and Triesdorf - Bavaria), maize (seeding rate: 9.4 seeds m-2) was established either after pure cultures of mustard, phacelia, bristle oat and Egyptian clover, after a mixture of these 4 species or after a commercial mixture of the DSV with a higher species diversity called TerraLife MaisPro. Their single-species nutrient accumulation was already published in the BonaRes-database under \u201cCatch crop nutrient uptake 1st crop rotation cycle\u201d.  Fallow plots were included as control. Maize was fertilized with 160 kg N ha-1 in Asendorf and 190 kg N ha-1 in Triesdorf. Since nutrient release from catch cops might temporarily vary, we studied the morphological and nutritional response of maize at 4 developmental stages ranging from leaf development over shoot elongation and flowering to cob development. As morphological parameters we investigated the number of leaves, tillers and cobs. In order to study the nutritional response we examined the shoot biomass, chlorophyll content or SPAD values and different nutrient concentrations in young and old leaves as well as the nitrate concentration in the press sap obtained from a 1 cm-piece of the stem base as marker for the nitrogen nutritional status. At both locations, the experiment was repeated in two subsequent years (2016 and 2017) and represented each the initial starting point of a wheat-catch crop-maize long-term rotation. Thus, maize response was tested in total in 4 environments. \nIn general we could not observe any significant impact of the pre-grown catch crop variant on morphological or nutritional shoot parameters at any of the investigated developmental stages and in none of the test environments. However, catch crop effects often develop in the long run when included regularly in a crop rotation.", "formats": [{"name": "CSV"}], "keywords": ["Zea mays", "Poaceae", "Shoots", "leaves", "Nitrates", "Nitrogen", "Elements", "Chlorophylls", "nutrient cycling in ecosystems", "Plant morphology", "Catch cropping", "Crop rotation", "Catch crops", "Sinapis alba", "Phacelia tanacetifolia", "Mustard", "Trifolium alexandrinum", "Mustard", "Phacelia", "oats", "maize", "Phosphorus", "Potassium", "Iron", "Carbon", "Magnesium", "Zinc", "Manganese", "Tillering", "biomass", "Landwirtschaftliche Anlagen und Aquakulturanlagen", "Maize", "Nutritional state", "pre-grown catch crops mineral elements", "opendata"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049 39482 5514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"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}]}, {"organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "roles": ["contributor"]}], "title_alternate": "Biomass, development and nutrient accumulation in the above-ground biomass of maize after different catch crop variants in the first cycle of a wheat-catch crop-maize long-term rotation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "name": "item", "description": "2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2dcc638c-6eca-4f91-a860-8ccd5cf3a2ef"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-17T00:00:00Z"}}, {"id": "3146683732", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:00Z", "type": "Dataset", "title": "Yedoma domain Mineral Concentrations Assessment (YMCA)", "description": "Mineral elements play a crucial role for organic carbon stabilization, which is key for organic carbon mineralization rates in soils. With thawing permafrost, especially in ice-rich regions such as the Yedoma domain, vast amounts of organic carbon previously stored in deep frozen deposits are unlocked and therefore available to undergo microbial mineralization leading to potential carbon dioxide and methane emissions. Mineral elements interfere with organic carbon degradation through various processes: i) mineral protection (aggregation, adsorption, and complexation) stabilizes organic carbon and mitigates its mineralization, and ii) change in mineral nutrients availability affects microorganisms growth and metabolic activity. Despite huge efforts to assess organic carbon stocks and lability in permafrost regions, there is a lack of studies on the mineral component assessment, which we aim to close with this dataset. Here, we provide a large-scale Yedoma domain Mineral Concentrations Assessment (YMCA) dataset of never thawed (since deposition) ice-rich Yedoma permafrost and previously thawed and partly refrozen Alas deposits. We used a portable X-ray fluorescence device (pXRF) for Si, Al, Fe, Ca, K, Ti, Mn, Zn, Sr and Zr concentration measurements on 1,292 sediment samples. Portable XRF measured concentrations trueness was calibrated using standard alkaline fusion and ICP-OES measurement from a subset of 144 samples (R\u00b2 from 0.725 to 0.996). This methodology lead to the creation of the Yedoma domain Mineral Concentration Assessment (YMCA) dataset, a necessary step to estimate mineral element stocks in never thawed Yedoma and previously thawed Alas deposits. Practically, the YMCA dataset is organized as follow: (i) all site and sample properties: sample ID, type of deposit, site location, profile ID, GPS coordinates, country, lithology, unconsolidated sediment type, geological epoch, samples depth below surface level (b.s.l) or height above sea/river level (a.s.l), sediment characteristics, bulk density, gravimetric and absolute ice content, total organic carbon content; (ii) the Si, Al, Fe, Ca, K, Ti, Mn, Zn, Sr and Zr concentrations (corrected based on linear regressions) in Yedoma and Alas deposits (n=1292).", "keywords": ["Density", "Permafrost", "Profile ID", "gravimetric", "Density", " bulk", " permafrost", "Aluminium", "total", "Sample code/label", "Portable X ray fluorescence device", "Titanium", "Mineral element", "Yedoma", "Portable X-ray fluorescence device", "Description", "Number", "Lithology/composition/facies", "Sample code label", "6. Clean water", "Deposit type", "Country", "sediment rock", "Zinc", "Earth System Research", "Alas", "Profile", "Silicon", "Lithology composition facies", "Height above sea level", "organic", "Iron", "Site", "DEPTH", " sediment/rock", "bulk", "Ice content", " gravimetric", "LONGITUDE", "Organic carbon", "Manganese", "Sediment type", "organic carbon", "15. Life on land", "Ice content", "Carbon", "Epoch", "Sample ID", "13. Climate action", "Strontium", "DEPTH", "LATITUDE", "Potassium", "Calcium", "Zirconium", "permafrost", "Carbon", " organic", " total"]}, "links": [{"href": "https://doi.org/3146683732"}, {"rel": "self", "type": "application/geo+json", "title": "3146683732", "name": "item", "description": "3146683732", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3146683732"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "36858842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:15Z", "type": "Journal Article", "created": "2023-02-27", "title": "Heritage genetics for adaptation to marginal soils in barley", "description": "Future crops need to be sustainable in the face of climate change. Modern barley varieties have been bred for high productivity and quality; however, they have suffered considerable genetic erosion, losing crucial genetic diversity. This renders modern cultivars vulnerable to climate change and stressful environments. We highlight the potential to tailor crops to a specific environment by utilising diversity inherent in an adapted landrace population. Tapping into natural biodiversity, while incorporating information about local environmental and climatic conditions, allows targeting of key traits and genotypes, enabling crop production in marginal soils. We outline future directions for the utilisation of genetic resources maintained in landrace collections to support sustainable agriculture through germplasm development via the use of genomics technologies and big data.", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "EFFICIENCY", "genetic resilience", "IMPACT", "/dk/atira/pure/subjectarea/asjc/1100/1110", "630", "12. Responsible consumption", "diversity", "Soil", "03 medical and health sciences", "FUTURE", "MANGANESE DEFICIENCY", "PLANTS", "2. Zero hunger", "580", "0303 health sciences", "barley landraces", "Hordeum", "Agriculture", "15. Life on land", "LANDRACES", "Adaptation", " Physiological", "CULTIVARS", "CLIMATE", "Plant Breeding", "climate change", "marginal soil", "13. Climate action", "name=Plant Science", "local adaptation", "RESISTANCE"]}, "links": [{"href": "https://doi.org/36858842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Trends%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "36858842", "name": "item", "description": "36858842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/36858842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-01T00:00:00Z"}}, {"id": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Elements"}, {"id": "pH"}, {"id": "Carbon"}, {"id": "Soil pore system"}, {"id": "Iron"}, {"id": "Aluminium"}, {"id": "Manganese"}, {"id": "Phosphorus"}, {"id": "Fractionation"}, {"id": "Calcium"}, {"id": "Potassium"}, {"id": "Magnesium"}, {"id": "Zinc"}, {"id": "Soil sorption"}, {"id": "Soil density"}, {"id": "Nitrogen content"}, {"id": "Sulphur"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}, {"id": "Bodennutzung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "phosphorus fractionation"}, {"id": "phosphorus sorption capacity"}, {"id": "degree of phosphorus sorption"}, {"id": "oxalate-extraxtable"}, {"id": "dithionite-extractable"}, {"id": "opendata"}], "scheme": "Individual"}], "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 BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos 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 BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2022-04-08", "type": "Dataset", "created": "2020-03-31", "language": "eng", "title": "Lysimeter data Rostock: pH, density, pore volume and element concentrations in soil (Data collection)", "description": "The dataset contains soil parameter data for soils from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Monoliths of these profiles were later used in lysimeter experiments. Data inform about soil bulk density, pore volume, pH (CaCl2), total element concentrations (Al, Ca, Fe, K, Mg, Mn, P, Zn), total P of different P pools (H2O-P, resin-P, NaHCO3-P, NaOH-P, H2SO4-P, residual-P), oxalate and dithionite extractable pedogenic Al, Fe, Mn-(hydr)oxides, as well as P sorption capacity (PSC) and degree of P saturation (DPS). They are published in Baumann et al. 2020, Speciation and sorption of phosphorus in agricultural soil profiles of redoximorphic character, EGAH, doi: 10.1007/s10653-020-00561-y \n\nResearch area: Soil science\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess the P mobilization potential, three soil profiles with redoximorphic features were selected along a slight hill slope and soil samples were taken from three different depths. For each depth, soil bulk density, pore volume, pH (CaCl2), total element concentrations (Al, Ca, Fe, K, Mg, Mn, P, Zn), total P of different P pools (H2O-P, resin-P, NaHCO3-P, NaOH-P, H2SO4-P, residual-P), oxalate and dithionite extractable pedogenic Al, Fe, Mn-(hydr)oxides, as well as P sorption capacity (PSC) and degree of P saturation (DPS) were determined. Thereby, soil bulk density and pore volume give basic soil information about e.g. soil compaction and thus aeration. Soil pH determines e.g. mineral equilibria as well as biological processes. Total element concentrations give information about e.g. available nutrients including total P. P pools give a hint on e.g. P binding. Oxalate extractions inform about elements derived from poorly crystalline pedogenic oxides, dithionite extractions about elements derived from well crystallized oxides. PSC and DPS, calculated from oxalate extractions, give information about P sorption capacity of the soil and the degree of P saturation. Since soil profiles were excavated during lysimeter monolith sampling, parameters of the soils also reflect the monolith soil parameters at different depths in the lysimeters.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Elements", "pH", "Carbon", "Soil pore system", "Iron", "Aluminium", "Manganese", "Phosphorus", "Fractionation", "Calcium", "Potassium", "Magnesium", "Zinc", "Soil sorption", "Soil density", "Nitrogen content", "Sulphur", "Boden", "Bodennutzung", "phosphorus fractionation", "phosphorus sorption capacity", "degree of phosphorus sorption", "oxalate-extraxtable", "dithionite-extractable", "opendata"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "+49 381 498 3184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/906cdf90-8ee0-4e9f-b13a-68e2175810ef", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "name": "item", "description": "3c0c77b5-bdc7-44e0-a43a-daddbee4b804", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3c0c77b5-bdc7-44e0-a43a-daddbee4b804"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "41c91344-6902-468b-9609-6a607555f471", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:07:54", "type": "Dataset", "language": "de", "title": "INSPIRE-WMS Soil / Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle bis 1m Profiltiefe BB", "description": "Der interoperable INSPIRE-WMS ist ein Darstellungsdienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle bis 1m Profiltiefe Brandenburg) bereitstellt. Er gibt einen \u00dcberblick \u00fcber die relative Bindungsst\u00e4rke f\u00fcr Schwermetalle f\u00fcr den Tiefenbereich bis 1 m Profiltiefe in Brandenburg. Die Karte basiert auf den Legendeneinheiten der Boden\u00fcbersichtskarte (B\u00dcK300) mit entsprechender Zuordnung von parametrisierten Fl\u00e4chenbodenformen, die durch Gel\u00e4nde- und Laboruntersuchungen bestimmt wurden. Dazu wurden f\u00fcr gleiche Horizont-Substrat-Kombinationen die entsprechenden Parameter (Bodenart, Humusgehalt, pH-Wert) statistisch abgeleitet (i.d.R. der Medianwert). Die Abfolge von Horizont-Substrat-Kombinationen in den Fl\u00e4chenbodenformen mit ihren Parametern (Bodenart, Humusgehalt, pH-Wert, Obergrenze des Go-Horizontes) bildeten die Grundlage f\u00fcr die Berechnung der relativen Bindungsst\u00e4rke gegen\u00fcber Schwermetallen (s. Methodendokumentation Bodenkunde,  Hennings 2000, Verkn\u00fcpfungsregel 7.1 bis 7.3). Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Karte INSPIRE-konform vor. Der WMS beinhaltet 11 Layer (SO.sorptionStrength) mit Angaben zur Bindungsst\u00e4rke bis 1 m Profiltiefe f\u00fcr die Schwermetalle Aluminium (Al), Blei (Pb), Cadmium (Cd), Chrom III (Cr(III)), Eisen III (Fe(III)), Kobalt (Co), Kupfer (Cu), Mangan (Mn), Nickel (Ni), Quecksilber (Hg) und Zink (Zn).     ---      The compliant INSPIRE-WMS Soil / Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle bis 1m Profiltiefe Brandenburg is a view service that delivers data in the annex schema Soil (derived from the original data set: Relative sorption strength for heavy metals for the depth up to 1 m Brandenburg). It provides an overview of the relative sorption strength for heavy metals for the depth up to 1 m in Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms determined by field and laboratory investigations. For this purpose, the corresponding parameters (soil type, humus content, pH value) were statistically derived for the same horizon-substrate combinations (usually the median value). The sequence of horizon-substrate combinations in the soil forms with their parameters (soil type, humus content, pH value, upper limit of the Go horizon) formed the basis for the calculation of the relative sorption strength for heavy metals (see Methodendokumentation Bodenkunde, Hennings 2000, methods 7.1 to 7.3). The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WMS includes 11 layers (SO.sorptionStrength) with information about the sorption retention up to 1 m profile depth for the heavy metals aluminum (Al), lead (Pb), cadmium (Cd), chromium III (Cr (III)), iron III (Fe ( III)), cobalt (Co), copper (Cu), manganese (Mn), nickel (Ni), mercury (Hg) and zinc (Zn).", "formats": [{"name": "HTML"}], "keywords": ["adsorptionsvermo\u0308gen", "bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "geologie", "infomapaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "oberboden", "om_observation", "opendata", "ph-wert", "process", "relative-bindungssta\u0308rke-fu\u0308r-schwermetalle", "schwermetall", "soil", "soilbody", "soilderivedobject", "soillayer", "sorption-strength-for-heavy-metals", "sorptionstrengthaluminium", "sorptionstrengthcadmium", "sorptionstrengthchrome", "sorptionstrengthcobalt", "sorptionstrengthcopper", "sorptionstrengthheavymetals", "sorptionstrengthiron", "sorptionstrengthlead", "sorptionstrengthmanganese", "sorptionstrengthmercury", "sorptionstrengthnickel", "sorptionstrengthzinc", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D41c91344-6902-468b-9609-6a607555f471"}, {"href": "https://inspire.brandenburg.de/services/so_boschwerm1m_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/41c91344-6902-468b-9609-6a607555f471~~1"}, {"rel": "self", "type": "application/geo+json", "title": "41c91344-6902-468b-9609-6a607555f471", "name": "item", "description": "41c91344-6902-468b-9609-6a607555f471", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/41c91344-6902-468b-9609-6a607555f471"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "4de1b638-6c37-467a-9933-3f457b0b8ca6", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:07:55", "type": "Dataset", "language": "de", "title": "INSPIRE-WMS Soil / Relative binding strength for heavy metals for groundwater-free soil space BB", "description": "The interoperable INSPIRE WMS is a display service that displays data in the annex schema ground (derived from the original dataset: Relative binding strength for heavy metals for the groundwater-free soil area of Brandenburg). It provides an overview of the relative binding strength for heavy metals for groundwater-free soil space in Brandenburg. The map is based on the legend units of the soil overview map (B\u00dcK300) with corresponding assignment of parameterized surface soil shapes, which were determined by terrain and laboratory tests. For the same horizon-substrate combinations, the corresponding parameters (soil type, humus content, pH value) were statistically derived (usually the median value). The sequence of horizon-substrate combinations in the surface soil forms with their parameters (soil type, humus content, pH value, upper limit of the Go horizon) formed the basis for the calculation of the relative binding strength to heavy metals (see method documentation Soil Science, Hennings 2000, linking rule 7.1 to 7.3). According to the INSPIRE data specification Soil (D2.8.III.3_v3.0), the contents of the card are INSPIRE compliant. The WMS contains 11 layers (SO.sorptionStrength) with data on the binding strength of groundwater-free soil space for the heavy metals aluminium (Al), lead (Pb), cadmium (Cd), chromium III (Cr(III)), iron III (Fe(III)), cobalt (Co), copper (Cu), manganese (Mn), nickel (Ni), mercury (Hg) and zinc (Zn). --- The compliant INSPIRE-WMS Soil is a view service that delivers data in the annex schema Soil (derived from the original data set: Relative sorption strength for heavy metals for the soil space free of groundwater Brandenburg). It provides an overview of the relative sorption strength for heavy metals for the soil space free of groundwater in Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms determined by field and laboratory investigations. For this purpose, the corresponding parameters (soil type, humus content, pH value) were statistically derived for the same horizon-substrate combinations (usually the median value). The sequence of horizon-substrate combinations in the soil forms with their parameters (soil type, humus content, pH value, upper limit of the Go horizon) formed the basis for the calculation of the relative sorption strength for heavy metals (see Methodendokumentation Bodenkunde, Hennings 2000, methods 7.1 to 7.3). The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WMS includes 11 layers (SO.sorptionStrength) with information about the sorption retention in the soil space free of groundwater for the heavy metals aluminum (Al), lead (Pb), cadmium (Cd), chromium III (Cr (III)), iron III (Fe (III)), cobalt (Co), copper (Cu), manganese (Mn), nickel (Ni), mercury (Hg) and zinc (Zn).", "formats": [{"name": "HTML"}], "keywords": ["adsorptionsvermo\u0308gen", "bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "geologie", "grundwasserfreier-bodenraum", "infomapaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "oberboden", "om_observation", "opendata", "ph-wert", "process", "relative-bindungssta\u0308rke-fu\u0308r-schwermetalle", "schwermetall", "soil", "soilbody", "soilderivedobject", "soillayer", "sorption-strength-for-heavy-metals", "sorptionstrengthaluminium", "sorptionstrengthcadmium", "sorptionstrengthchrome", "sorptionstrengthcobalt", "sorptionstrengthcopper", "sorptionstrengthheavymetals", "sorptionstrengthiron", "sorptionstrengthlead", "sorptionstrengthmanganese", "sorptionstrengthmercury", "sorptionstrengthnickel", "sorptionstrengthzinc", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D4de1b638-6c37-467a-9933-3f457b0b8ca6"}, {"href": "https://inspire.brandenburg.de/services/so_boschwermgwf_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/4de1b638-6c37-467a-9933-3f457b0b8ca6~~1"}, {"rel": "self", "type": "application/geo+json", "title": "4de1b638-6c37-467a-9933-3f457b0b8ca6", "name": "item", "description": "4de1b638-6c37-467a-9933-3f457b0b8ca6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/4de1b638-6c37-467a-9933-3f457b0b8ca6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "spring barley"}, {"id": "elements"}, {"id": "dry matter"}, {"id": "carbon"}, {"id": "nitrogen"}, {"id": "sulphur"}, {"id": "aluminium"}, {"id": "calcium"}, {"id": "iron"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "manganese"}, {"id": "phosphorus"}, {"id": "zinc"}, {"id": "straw"}, {"id": "barley straw"}, {"id": "grain"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Ertrag (landwirtschaftlich)"}, {"id": "Kulturpflanze"}, {"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "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 BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos 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 BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2022-04-08", "type": "Dataset", "created": "2021-04-06", "language": "eng", "title": "Lysimeter data Rostock: dry mass and element concentrations of spring barley in 2019 (Data collection)", "description": "The dataset contains yields and element concentrations of spring barley grown in lysimeters under varying redox conditions on three soil profiles from along a hill slope in Northern Germany in 2019. Data inform about dry mass of straw and grain as well as about total C, N, S, Al, Fe, Mn, Ca, K, Mg, P, and Zn in plant parts. They are published in Baumann et al. 2020, Phosphorus cycling and spring barley crop response to varying redox potential, Vadose Zone J., DOI: 10.1002/vzj2.20088\n\nResearch domain: Plant Nutrition\n\nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. After 19 weeks of varying redox conditions in the lysimeter monoliths, spring barley growth and plant nutritional status were determined. Spring barley shoots were harvested and straw and grain dry matter as well as element concentrations of plant parts were determined to gain information about plant element uptake as affected by varying redox conditions.", "formats": [{"name": "CSV"}], "keywords": ["spring barley", "elements", "dry matter", "carbon", "nitrogen", "sulphur", "aluminium", "calcium", "iron", "potassium", "magnesium", "manganese", "phosphorus", "zinc", "straw", "barley straw", "grain", "opendata", "Ertrag (landwirtschaftlich)", "Kulturpflanze", "Landwirtschaftliche Anlagen und Aquakulturanlagen"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "493 814 983 184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "493 814 983 120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=6557043a-ad8c-4e84-a557-0fca9a8fee92", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/906cdf90-8ee0-4e9f-b13a-68e2175810ef", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "name": "item", "description": "6557043a-ad8c-4e84-a557-0fca9a8fee92", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6557043a-ad8c-4e84-a557-0fca9a8fee92"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "6f418905-226b-4c87-b10a-a44511487b53", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-29.7, -34.9], [-29.7, 28.7], [55.4, 28.7], [55.4, -34.9], [-29.7, -34.9]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:51", "type": "Dataset", "language": "eng", "title": "Africa SoilGrids nutrients - Extractable Manganese (Mn)", "description": "Extractable Manganese (Mn) content of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in partnership with EthioSIS (Ethiopia), GhaSIS (Ghana) and NiSIS (Nigeria as made possible by OCP Africa and IITA), combined with soil data as made available by Wageningen University and Research, IFDC, VitalSigns, University of California and the OneAcreFund. [Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). Maps produced for the Environmental Assessment Agency (PBL), funded by the Netherlands government, in collaboration with the AfSIS and the Vital Signs projects.", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "OGC:WMS"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["nutrients", "manganese", "digital soil mapping", "Soil science", "Africa"], "contacts": [{"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/public/af250m_nutrient/af250m_nutrient_mn_m_agg30cm.tif", "name": "Download GeoTIFF at depth 30 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map", "name": "af250m_nutrient_mn_m_agg30cm", "protocol": "OGC:WMS", "rel": "information"}, {"href": "https://isric.org/projects/africa-soilgrids-soil-nutrient-maps-sub-saharan-africa-250-m-resolution", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://link.springer.com/article/10.1007/s10705-017-9870-x", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map&SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&BBOX=-35,-30,29,56&CRS=EPSG:4326&WIDTH=1426&HEIGHT=895&LAYERS=af250m_nutrient_mn_m_agg30cm&STYLES=&FORMAT=png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "6f418905-226b-4c87-b10a-a44511487b53", "name": "item", "description": "6f418905-226b-4c87-b10a-a44511487b53", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6f418905-226b-4c87-b10a-a44511487b53"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1980-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "7520bfe1-d548-4ffb-bdd8-18cc534df855", "type": "Feature", "geometry": null, "properties": {"updated": "2024-09-25T14:47:06", "type": "Dataset", "language": "en", "title": "Tellus Geochemistry \u2014 topsoil", "description": "The latest topsoils data from the Tellus project, managed by the Geological Survey Ireland.  The topsoil (c.5\u201320 cm deep) samples were analysed for: Analytical Method: ICP(-OES/-MS) following aqua regia digestion; soil loss-on-ignition at 450\u00a0\u00b0C The survey was conducted on foot; samples were collected approx. every 4 sq km from. For more information please visit tellus.ie.  The following elements were analysed: Aluminium, Antimony, Arsenic, Barium, Beryllium, Bismuth, Cadmium, caesium, Calcium, Cerium, Chromium, Cobalt, Copper, Gallium, Germanium, Hafnium, indium, Iron, Lanthanum, Lead, Lithium, Loss-on-ignition, Lutetium, Magnesium, Manganese, Mercury, Molybdenum, Nickel, Niobium, pH, Phosphorus, Potassium, Rubidium, scandium, Selenium, Silver, Sodium, Strontium, Sulphur, Tantalum, Tellurium, Terbium, Thallium, Thorium, Tin, Titanium, Tungsten, Uranium, vanadium, Ytterbium, Yttrium, Zinc, Zinc, Zirconium (Al, B, Ba, Ca, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, P, S, S, Sr, Ti, V, Zn, Zr, Ag, Be, Be, Bi, Cd, Ce, Co, Cs, Ga, Ge, Hf, In, La, Lu, P, Mo, Mo, Pb, Rb, Sb, Sb, Sb, Sn, Sn, Tb, Te, Th, Tl, U, W, Yb) The current coverage includes:  Tellus Border survey block (2011-2013, Co Donegal, Sligo, Leitrim, Cavan, Monaghan, Louth)  Some elements have been merged with topsoil data from Northern Ireland conducted in the mid ninties and Noughties.", "formats": [{"name": "ESRI REST"}], "keywords": ["aintrim", "aluminium", "antimony", "aqua-regia", "aqua-regia-digestion", "armagh", "arsenic", "barium", "beryllium", "bismuth", "cadmium", "caesium", "calcium", "cavan", "cerium", "chemistry", "chromium", "cobalt", "copper", "derry", "donegal", "down", "dublin", "earth-science", "environment", "european-union", "fermanagh", "gallium", "galway", "geochemical", "geochemical-survey", "geochemistry", "geological", "geological-survey-ireland", "geology", "geoscientificinformation", "germanium", "hafnium", "icp-ms", "icp-oes", "icpms", "icpoes", "ie", "indium", "interreg", "ireland", "iron", "kildare", "lanthanum", "lead", "lietrim", "lithium", "lithology", "lithosphere", "londonderry", "longford", "loss-on-ignition", "louth", "lutetium", "magnesium", "manganese", "mayo", "meath", "mercury", "molybdenum", "monaghan", "nickel", "niobium", "offaly", "organics", "phosphorus", "potassium", "rocks", "roscommon", "rubidium", "scandium", "selenium", "silver", "sligo", "sodium", "soil", "soil-loss-on-ignition", "soil-ph", "strontium", "sulphur", "tantalum", "tellurium", "tellus", "tellus-border", "terbium", "thallium", "thorium", "tin", "titanium", "top-soil", "topsoil", "tungsten", "tyrone", "uranium", "vanadium", "westmeath", "wicklow", "ytterbium", "yttrium", "zinc", "zirconium"], "contacts": [{"organization": "https://data.gov.ie/organization/geological-survey-of-ireland", "roles": ["publisher"]}]}, "links": [{"href": "http://dcenr.maps.arcgis.com/apps/MapSeries/index.html?appid=6304e122b733498b99642707ff72f754"}, {"href": "https://gsi.geodata.gov.ie/server/rest/services/Geochemistry"}, {"href": "https://secure.dccae.gov.ie/GSI_DOWNLOAD/Tellus/PDFs/EBook_Topsoils_Final_03Feb2016.pdf"}, {"href": "https://www.gsi.ie/en-ie/data-and-maps/Pages/Geochemistry.aspx#DeeperTopsoilS"}, {"href": "https://www.gsi.ie/en-ie/data-and-maps/Pages/Geochemistry.aspx#ShallowTopsoilA"}, {"href": "https://www.gsi.ie/en-ie/programmes-and-projects/tellus/activities/ground-survey/Pages/default.aspx"}, {"href": "http://data.europa.eu/88u/dataset/7520bfe1-d548-4ffb-bdd8-18cc534df855"}, {"rel": "self", "type": "application/geo+json", "title": "7520bfe1-d548-4ffb-bdd8-18cc534df855", "name": "item", "description": "7520bfe1-d548-4ffb-bdd8-18cc534df855", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7520bfe1-d548-4ffb-bdd8-18cc534df855"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Bodenbedeckung"}, {"id": "Bodennutzung"}, {"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Shoots"}, {"id": "Plant parts"}, {"id": "nutrient balance"}, {"id": "Avena"}, {"id": "Avena nuda"}, {"id": "Poaceae"}, {"id": "Mustard"}, {"id": "Sinapis alba"}, {"id": "Phacelia tanacetifolia"}, {"id": "Trifolium alexandrinum"}, {"id": ",biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "Elements"}, {"id": "Nitrogen"}, {"id": "Nitrogen content"}, {"id": "Phosphorus"}, {"id": "Carbon"}, {"id": "Magnesium"}, {"id": "Potassium"}, {"id": "Boron"}, {"id": "Aluminium"}, {"id": "Manganese"}, {"id": "Sulphur"}, {"id": "Zinc"}, {"id": "Iron"}, {"id": "Copper"}, {"id": "Calcium"}, {"id": "Catch cropping"}, {"id": "Crop rotation"}, {"id": "cropping systems"}, {"id": "Biological competition"}, {"id": "Interspecific competition"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Shoot biomass"}, {"id": "catch crops"}, {"id": "mineral elements"}, {"id": "macro elements"}, {"id": "micro elements"}, {"id": "C/N ratio"}, {"id": "plant nutrition"}, {"id": "ICP-OES"}, {"id": "EA"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "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 BonaRes Module A-Project - CATCHY's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and 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 BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2019-06-21", "type": "Dataset", "created": "2017-10-19", "language": "eng", "title": "Catch crop nutrient uptake 1st crop rotation cycle", "description": "A central aspect when including catch crops into a crop rotation is the conservation of nutrients in their biomass for the subsequently grown crop. Therefore, it is important to qualify and to quantify the nutrient accumulation in the biomass of catch crop species. Since it was often described, that mixtures yield higher biomasses than pure stands of catch crops, we evaluated the nutrient scavenging potential of pure stands vs. mixtures. \nTest objects were the four species mustard, phacelia, bristle oat and Egyptian clover either grown in pure stands (sowing densities: mustard - 300, phacelia - 706, bristle oat - 588, Egyptian clover - 833) or in a 4-species mixture (sowing densities: mustard - 67, phacelia - 294, bristle oat - 53, Egyptian clover - 233). Additionally, a commercial mixture of the DSV with a higher species diversity called TerraLife MaisPro was included in the experiment. Their single-species nutrient accumulation was evaluated after 2.5 months of cultivation in total shoot material (dryed for 3 d at 80 \u00b0C and ground in a mill) obtained from two sites in Germany (Asendorf - Lower Saxony and Triesdorf - Bavaria), and at two initial starting points of the respective wheat-catch crop-maize long-term rotation (2015 and 2016) - in total 4 test environments. \nGenerally, nutrient concentrations in the shoot biomass often followed species-specific patterns, e.g. phacelia and oat which are described to have a shallow root system with a high amount of fine roots in the upper soil layers had consistently highest P and K concentrations, S, which is prone to leaching, was most concentrated in the cruciferous species mustard, Ca concentration was highest in phacelia but very low abundant in oat as grass species or Mg was highest in clover since photosynthesis rate must be kept high because biologically fixed N has to be incorporated into carbon skeletons. Increasing interspecific competition in the mix (at higher plant survival rates or at vigorous plant development) favored higher concentrations of several nutrients in some of the species, e.g. higher P concentration in phacelia when cultivated in the 4-species mix. Non-favorable conditions like less water availability led, against this, to higher N concentrations in clover likely due to the establishment of N fixation (Triesdorf 2015 and Asendorf 2016).\nHowever, total nutrient scavenging was largely influenced by the biomass formed by a catch crop variant. In this case, above-ground nutrient conservation capacities were mostly equally high in mustard, phacelia, partially oat and the mixed cultures. Only in one test environment (Triesdorf 2016) where quite loose pure stands established, the mixed cultivation offered a larger nutrient conservation capacity via the production of higher total biomass.", "formats": [{"name": "CSV"}], "keywords": ["Bodenbedeckung", "Bodennutzung", "Landwirtschaftliche Anlagen und Aquakulturanlagen", "Shoots", "Plant parts", "nutrient balance", "Avena", "Avena nuda", "Poaceae", "Mustard", "Sinapis alba", "Phacelia tanacetifolia", "Trifolium alexandrinum", "", "biomass", "biomass", "biomass", "biomass", "biomass", "biomass", "Elements", "Nitrogen", "Nitrogen content", "Phosphorus", "Carbon", "Magnesium", "Potassium", "Boron", "Aluminium", "Manganese", "Sulphur", "Zinc", "Iron", "Copper", "Calcium", "Catch cropping", "Crop rotation", "cropping systems", "Biological competition", "Interspecific competition", "Shoot biomass", "catch crops", "mineral elements", "macro elements", "micro elements", "C/N ratio", "plant nutrition", "ICP-OES", "EA", "opendata", "Boden"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049394825514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"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}]}, {"organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "roles": ["contributor"]}], "title_alternate": "Nutrient accumulation in the biomass of catch crop species in pure stands vs. mix at the beginning of a wheat-catch crop-maize long-term rotation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "name": "item", "description": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8d34ddab-2bc9-4288-869b-a4afdd68f0dd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-21T00:00:00Z"}}, {"id": "8da97a96-6f5c-4780-8641-53e810393408", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.11, 52.51], [14.11, 52.52], [14.13, 52.52], [14.13, 52.51], [14.11, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Langzeitversuch"}, {"id": "Landwirtschaft"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Laboruntersuchung"}, {"id": "Getreide"}, {"id": "Probenahme"}, {"id": "Me\u00c3\u0178technik"}, {"id": "Kohlenstoff"}, {"id": "Stickstoff"}, {"id": "Spurenelement"}, {"id": "Chemisches Element"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "agriculture"}, {"id": "Field experimentation"}, {"id": "Agricultural research"}, {"id": "Research methods"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "analysis"}, {"id": "plants"}, {"id": "laboratory techniques"}, {"id": "composition"}, {"id": "Carbon"}, {"id": "Nitrogen"}, {"id": "Elements"}, {"id": "Amino acids"}, {"id": "amino sugars"}, {"id": "Amino nitrogen"}, {"id": "Phosphorus"}, {"id": "Sulphur"}, {"id": "Magnesium"}, {"id": "Potassium"}, {"id": "Copper"}, {"id": "Manganese"}, {"id": "Zinc"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE"}, {"id": "LTE"}, {"id": "LTSE"}], "scheme": "individual"}], "rights": "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 re-used from the BonaRes Data Centre (www.bonares.de). These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. 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Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Laboratory data (soil)\". 10.20387/BonaRes-BSVY-R418\n\nThis data/file was excluded from further dissemination and should no longer be used.", "updated": "2020-12-01", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from 1963 to 2009 - Laboratory data (soil)", "description": "This data/file has been withdrawn by the author and is no longer available for free reuse.\n\nAuthor's statement: The published LTE-data was withdrawn and replaced by an updated Version.The usability of the tables is enhanced and the experiment can be analyzed in the new Version as a single factorial experiment. 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil analysis"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Field experimentation"}, {"id": "agriculture"}, {"id": "Soil analysis"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil analysis"}, {"id": "Elements"}, {"id": "Carbon"}, {"id": "Nitrogen"}, {"id": "Sulphur"}, {"id": "Phosphorus"}, {"id": "analysis"}, {"id": "composition"}, {"id": "aquaculture"}, {"id": "methodology"}, {"id": "Potassium"}, {"id": "Magnesium"}, {"id": "Manganese"}, {"id": "Lead"}, {"id": "Calcium"}, {"id": "Calcium carbonate"}, {"id": "Texture"}, {"id": "Sand"}, {"id": "silt"}, {"id": "Clay"}, {"id": "Ammonium"}, {"id": "Titanium"}, {"id": "Cadmium"}, {"id": "Ions"}, {"id": "Nitrates"}, {"id": "Copper"}, {"id": "Molybdenum"}, {"id": "Zinc"}, {"id": "Nitrates"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE"}, {"id": "LTE"}, {"id": "LTSE"}, {"id": "Aqua regia"}], "scheme": "individual"}], "rights": "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 re-used from the BonaRes Data Centre (www.bonares.de). These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Laboratory data (soil)\". 10.20387/BonaRes-BSVY-R418 This data/file was excluded from further dissemination and should no longer be used. To cite the complete datacollection: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g To cite the individual table: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Table: V2_0_2012_BODENLABORWERTE. Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g", "updated": "2021-05-03", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from (launched in 1963) - Laboratory data (soil)", "description": "Child table of long-term field experiment V140 Muencheberg. \n\nTable with laboratory data of soil samples. General description about the V140 experiment can be found in the table V140 - Plots. 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These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 ZALF and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Laboratory data (plants)\". 10.20387/BonaRes-BSVY-R418 This data/file was excluded from further dissemination and should no longer be used. To cite the complete datacollection: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g To cite the individual table: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Table: V2_0_2012_PFLANZENLABORWERTE. Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g", "updated": "2021-05-03", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from (launched in 1963) - Laboratory data (plants)", "description": "Child table of long-term field experiment V140 Muencheberg. \n\nTable with laboratory data of plant samples. General description about the V140 experiment can be found in the table V140 - Plots. 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This data were created as part of BonaRes Module A-Project - CATCHY's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and 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 BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. 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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 BonaRes Module A-Project - CATCHY's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and 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 BonaRes Module A-Project-CATCHY and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. 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INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi= 8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Catchy/ID_1026_CATCHY_SP2_1ST_CROP_ROTATION_CYCLE_IPK_CC_NUTRIENT_UPTAKE_POINT/MapServer/WMSServer?request=GetCapabilities&service=WMS?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "d1bf4e4d-3783-48c0-8cc9-7ca53d9358a7", "name": "item", "description": "d1bf4e4d-3783-48c0-8cc9-7ca53d9358a7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d1bf4e4d-3783-48c0-8cc9-7ca53d9358a7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-14T00:00:00Z"}}, {"id": "f6240842-826d-46c0-a509-5914e3bec6e6", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:07:57", "type": "Dataset", "language": "de", "title": "INSPIRE-WMS Soil / Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle im Oberboden BB", "description": "Der interoperable INSPIRE-WMS ist ein Darstellungsdienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle im Oberboden Brandenburg) bereitstellt. Er gibt einen \u00dcberblick \u00fcber die relative Bindungsst\u00e4rke f\u00fcr Schwermetalle im Oberboden in Brandenburg. Die Karte basiert auf den Legendeneinheiten der Boden\u00fcbersichtskarte (B\u00dcK300) mit entsprechender Zuordnung von parametrisierten Fl\u00e4chenbodenformen, die durch Gel\u00e4nde- und Laboruntersuchungen bestimmt wurden. Dazu wurden f\u00fcr gleiche Horizont-Substrat-Kombinationen die entsprechenden Parameter (Bodenart, Humusgehalt, pH-Wert) statistisch abgeleitet (i.d.R. der Medianwert). Die Abfolge von Horizont-Substrat-Kombinationen in den Fl\u00e4chenbodenformen mit ihren Parametern (Bodenart, Humusgehalt, pH-Wert, Obergrenze des Go-Horizontes) bildeten die Grundlage f\u00fcr die Berechnung der relativen Bindungsst\u00e4rke gegen\u00fcber Schwermetallen (s. Methodendokumentation Bodenkunde,  Hennings 2000, Verkn\u00fcpfungsregel 7.1 bis 7.3). Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Karte INSPIRE-konform vor. Der WMS beinhaltet 11 Layer (SO.sorptionStrength) mit Angaben zur Bindungsst\u00e4rke grundwasserfreien Bodenraum f\u00fcr die Schwermetalle Aluminium (Al), Blei (Pb), Cadmium (Cd), Chrom III (Cr(III)), Eisen III (Fe(III)), Kobalt (Co), Kupfer (Cu), Mangan (Mn), Nickel (Ni), Quecksilber (Hg) und Zink (Zn).     ---      The compliant INSPIRE-WMS Soil / Relative Bindungsst\u00e4rke f\u00fcr Schwermetalle im Oberboden Brandenburg is a view service that delivers data in the annex schema Soil (derived from the original data set: Relative sorption strength for heavy metals in the top soil Brandenburg). It provides an overview of the relative sorption strength for heavy metals in the top soil in Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms determined by field and laboratory investigations. For this purpose, the corresponding parameters (soil type, humus content, pH value) were statistically derived for the same horizon-substrate combinations (usually the median value). The sequence of horizon-substrate combinations in the soil forms with their parameters (soil type, humus content, pH value, upper limit of the Go horizon) formed the basis for the calculation of the relative sorption strength for heavy metals (see Methodendokumentation Bodenkunde, Hennings 2000, methods 7.1 to 7.3). The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WMS includes 11 layers (SO.sorptionStrength) with information about the sorption retention in the soil space free of groundwater for the heavy metals aluminum (Al), plumbum (Pb), cadmium (Cd), chromium III (Cr (III)), iron III (Fe ( III)), cobalt (Co), copper (Cu), manganese (Mn), nickel (Ni), mercury (Hg) and zinc (Zn).", "formats": [{"name": "HTML"}], "keywords": ["adsorptionsvermo\u0308gen", "bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "geologie", "infomapaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "oberboden", "om_observation", "opendata", "ph-wert", "relative-bindungssta\u0308rke-fu\u0308r-schwermetalle", "schwermetall", "soil", "sorption-strength-for-heavy-metals", "sorptionstrengthaluminium", "sorptionstrengthcadmium", "sorptionstrengthchrome", "sorptionstrengthcobalt", "sorptionstrengthcopper", "sorptionstrengthheavymetals", "sorptionstrengthiron", "sorptionstrengthlead", "sorptionstrengthmanganese", "sorptionstrengthmercury", "sorptionstrengthnickel", "sorptionstrengthzinc", "topsoil", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3Df6240842-826d-46c0-a509-5914e3bec6e6"}, {"href": "https://inspire.brandenburg.de/services/so_boschwermoben_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/f6240842-826d-46c0-a509-5914e3bec6e6~~1"}, {"rel": "self", "type": "application/geo+json", "title": "f6240842-826d-46c0-a509-5914e3bec6e6", "name": "item", "description": "f6240842-826d-46c0-a509-5914e3bec6e6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f6240842-826d-46c0-a509-5914e3bec6e6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "opendata"}, {"id": "specific UV absorbance (SUVA)"}], "scheme": "Individual"}, {"concepts": [{"id": "redox potential"}, {"id": "subsoil"}, {"id": "soil water constants"}, {"id": "elements"}, {"id": "plant available phosphorus"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "dissolved inorganic carbon"}, {"id": "dissolved organic carbon"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "nitrites"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "soil solution"}, {"id": "phosphates"}, {"id": "drainage water"}, {"id": "lysimeters"}, {"id": "slope"}, {"id": "nitrogen content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}], "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 BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos 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 BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-28", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: Redox potential, pH and element concentrations of pore water in 2021", "description": "The dataset contains soil pore water data from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Data inform about weekly redox potential (Eh), pH and element concentrations (TC, IC, OC, TN, NH4+ -N, NO2- -N, NO3- -N, PO43- -P, total Ca, P, Fe, Al, and Mn) in filtered (0.45 \u00b5m) soil pore water samples collected in 2021.\n\nResearch domain: Soil Sciences\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess P mobilization at different redox conditions, three soil profiles with redoximorphic features were selected along a slight hill slope and lysimeter monoliths were collected by drilling in 2018. In 2021, lysimeters were cropped with maize. Five maize plants of each lysimeter were supplied with underfoot fertilizer (P and S) while further five plants of each lysimeter were left without fertilizer. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. The redox potential (Eh) was measured in situ and pore water was sampled weekly from three different depths of the lysimeters to determine pH and the element concentrations total C, N, P, Al, Fe, Mn, and Ca as well as inorganic and organic C (DIC, DOC), NH4+-N, NO2- -N, NO3- -N and PO43- -P in solutions (0.45 \u00b5m). Thus, information about different element concentrations at different redox potentials and pH was gained over a period of about 6.5 months in 2021.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "specific UV absorbance (SUVA)", "redox potential", "subsoil", "soil water constants", "elements", "plant available phosphorus", "total phosphorus", "carbon", "dissolved inorganic carbon", "dissolved organic carbon", "ammonium", "nitrates", "nitrites", "calcium", "aluminium", "iron", "manganese", "soil solution", "phosphates", "drainage water", "lysimeters", "slope", "nitrogen content"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Center", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2f559cf4-8685-40b3-a6e1-4ad4a9120168", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "name": "item", "description": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2f559cf4-8685-40b3-a6e1-4ad4a9120168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-28T00:00:00Z"}}, {"id": "1770c71c-b36f-404d-b336-8b96476cfec6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "elements"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "nitrogen"}, {"id": "sulfur"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "zinc"}, {"id": "leaves"}, {"id": "stems"}, {"id": "shoots"}, {"id": "grain"}, {"id": "slope"}, {"id": "spring barley"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Elemente"}, {"id": "Kohlenstoff"}, {"id": "Aluminium"}, {"id": "Calcium"}, {"id": "Eisen"}, {"id": "Phosphor"}, {"id": "Stickstoff"}, {"id": "Zink"}, {"id": "Schwefel"}], "scheme": "Individual"}, {"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 BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos 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 BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-04-17", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: characteristics of maize plants grown with and without underfoot fertilization in 2021", "description": "The dataset contains fresh and dry plant mass, BBCH development stages as well as plant height and element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) of maize grown in lysimeter areas which were either fertilized or unfertilized with P- und S-containing fertilizer pellets. The plants were grown under varying redox conditions on three soil profiles from along a hill slope in Northern Germany in 2021.    \nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. Plant developmental stage, plant height, dry mass as well as element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) were determined to assess the effect of the fertilizer.\n\n\nResearch domain: Plant Nutrition\n\nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. Plant developmental stage, plant height, dry mass as well as element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) were determined to assess the effect of the fertilizer.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "elements", "total phosphorus", "carbon", "calcium", "aluminium", "iron", "manganese", "nitrogen", "sulfur", "potassium", "magnesium", "zinc", "leaves", "stems", "shoots", "grain", "slope", "spring barley", "opendata", "Elemente", "Kohlenstoff", "Aluminium", "Calcium", "Eisen", "Phosphor", "Stickstoff", "Zink", "Schwefel", "Boden"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1770c71c-b36f-404d-b336-8b96476cfec6", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "1770c71c-b36f-404d-b336-8b96476cfec6", "name": "item", "description": "1770c71c-b36f-404d-b336-8b96476cfec6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1770c71c-b36f-404d-b336-8b96476cfec6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-17T00:00:00Z"}}, {"id": "dcc61b52-3767-4d29-bcf0-26c5cec0afd0", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[7.56, 51.39], [7.56, 51.53], [7.74, 51.53], [7.74, 51.39], [7.56, 51.39]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "carbon sequestration"}, {"id": "soil structure"}, {"id": "yield increases"}, {"id": "nitrate-nitrogen"}, {"id": "climatic data"}, {"id": "soil profiles"}, {"id": "soil permeability"}, {"id": "soil fertility"}, {"id": "phosphates"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "base saturation"}, {"id": "total nitrogen"}, {"id": "humus"}, {"id": "biological activity in soil"}, {"id": "soil pore system"}, {"id": "hydraulic conductivity"}, {"id": "cation exchange capacity"}, {"id": "iron"}, {"id": "manganese"}, {"id": "aluminium"}, {"id": "earthworms"}, {"id": "boundary layers"}, {"id": "soil density"}, {"id": "water storage"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "carbon balance"}, {"id": "plant-available phosphate"}, {"id": "plant-available potassium"}, {"id": "plant-available magnesium"}, {"id": "organic label (Biosiegel)"}, {"id": "Boden-pH"}, {"id": "calcium-base saturation"}, {"id": "magnesium-base saturation"}, {"id": "sodium-base saturation"}], "scheme": "Individual"}, {"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 Other's research activities.\" Although every care has been taken in preparing and testing the data, the Other and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Other 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 Other and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-01-09", "type": "Dataset", "created": "2022-11-15", "language": "eng", "title": "Acquisition of soil scientific measurement data as a basis for a later comparison between organic and conventional land management", "description": "The data set contains general characteristic soil features and data on organic matter contents as well as P, K, Mg, Ca, Mg, Na, Nt, NO3,Fe, Al, Mn . They were measured in 1983 at six different sites with alluvial loam sediments in Germany (four cropland and two grassland sites) belonging to one organic farm and one conventional farm at that time. Soil samples were taken for a parallel investigation at each of two comparable sites.\n\nResearch domain: Soil Sciences\n\nResearch question: The initial characteristics of these soils are to serve as a basis for a later study on the question of how organic farming, which has also been practiced on the conventional farm since 1988, has affected the studied characteristics over a period of now 39 and 34 years, respectively.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "carbon sequestration", "soil structure", "yield increases", "nitrate-nitrogen", "climatic data", "soil profiles", "soil permeability", "soil fertility", "phosphates", "potassium", "magnesium", "base saturation", "total nitrogen", "humus", "biological activity in soil", "soil pore system", "hydraulic conductivity", "cation exchange capacity", "iron", "manganese", "aluminium", "earthworms", "boundary layers", "soil density", "water storage", "opendata", "carbon balance", "plant-available phosphate", "plant-available potassium", "plant-available magnesium", "organic label (Biosiegel)", "Boden-pH", "calcium-base saturation", "magnesium-base saturation", "sodium-base saturation", "Boden"], "contacts": [{"name": "Sybille Kurz", "organization": "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sybille_kurz@t-online.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Kristin Meier", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "Kristin.Meier@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Bonares", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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