{"type": "FeatureCollection", "features": [{"id": "10.1007/s11368-022-03203-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:40Z", "type": "Journal Article", "created": "2022-04-23", "title": "Improving the design and implementation of sediment fingerprinting studies: summary and outcomes of the TRACING 2021 Scientific School", "description": "Identifying best practices for sediment fingerprinting or tracing is important to allow the quantification of sediment contributions from catchment sources. Although sediment fingerprinting has been applied with reasonable success, the deployment of this method remains associated with many issues and limitations.Seminars and debates were organised during a 4-day Thematic School in October 2021 to come up with concrete suggestions to improve the design and implementation of tracing methods.First, we suggest a better use of geomorphological information to improve study design. Researchers are invited to scrutinise all the knowledge available on the catchment of interest, and to obtain multiple lines of evidence regarding sediment source contributions. Second, we think that scientific knowledge could be improved with local knowledge and we propose a scale of participation describing different levels of involvement of locals in research. Third, we recommend the use of state-of-the-art sediment tracing protocols to conduct sampling, deal with particle size, and examine data before modelling and accounting for the hydro-meteorological context under investigation. Fourth, we promote best practices in modelling, including the importance of running multiple models, selecting appropriate tracers, and reporting on model errors and uncertainty. Fifth, we suggest best practices to share tracing data and samples, which will increase the visibility of the fingerprinting technique in geoscience. Sixth, we suggest that a better formulation of hypotheses could improve our knowledge about erosion and sediment transport processes in a more unified way.With the suggested improvements, sediment fingerprinting, which is interdisciplinary in nature, could play a major role to meet the current and future challenges associated with global change.The online version contains supplementary material available at 10.1007/s11368-022-03203-1.", "keywords": ["[SDE] Environmental Sciences", "DATA", "550", "[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "01 natural sciences", "333", "source-to-sink", "basin", "local knowledge", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "11. Sustainability", "[SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology", "14. Life underwater", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "catchment", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "watershed", "FAIR", "0105 earth and related environmental sciences", "sediment tracing", "ddc:550", "Frontiers in Soils and Sediments \u2022 Research Article", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "sediment fingerprinting", "Chemistry", "critical Zone", "13. Climate action", "Earth and Environmental Sciences", "[SDE]Environmental Sciences", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11368-022-03203-1.pdf"}, {"href": "https://doi.org/10.1007/s11368-022-03203-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Soils%20and%20Sediments", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11368-022-03203-1", "name": "item", "description": "10.1007/s11368-022-03203-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11368-022-03203-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-23T00:00:00Z"}}, {"id": "10.5281/zenodo.10836974", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-30T16:23:04Z", "type": "Dataset", "title": "Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan", "description": "The current dataset was compiled to study sediment fingerprintings practices, i.e tracer selection and contribution modelling. Organic matter, elemental geochemistry, visible difuse spectrocolorimetric properties, radiocesium properties, and grain size were analysed were analysed in potential source material that may supply sediment to coastal rivers, here the upper part of the Mano river, draining the main Fukushima radioactive pollution plume (Japan). Four potential soil source materials (n = 68) were considered: undecontaminated cropland (n = 24), as non-decontaminated soil before the application of local decontamination policies, remediated cropland (n = 10), as decontaminated soil after the application of local decontamination policies, forest soils (n = 24) and subsurface material originating from channel bank collapse or landslides (n = 10; referred to as subsoil). A sediment core was collected in the Mano Dam lake (Hayama lake) on the 6th June 2021 and was sectionned into 1-cm layers (n = 38). Laboratory mixtures (n = 27) were made to assess different contribution levels from the sources.  The current dataset comprises four .csv files including data and metadata information and their respective descriptions of variables. The data set is composed of soil samples, sediment core layer and laboratory mixtures. Laboratory mixtures were prepared to provide a dataset to calibrate/validate un-mixing models implemented to address this research question and analysed in the same conditions and using the same equipment as the source/target material.  Recommended encoding format: latin1", "keywords": ["Sediment Tracing", "Fukushima Daiichi Nuclear Power Plan", "15. Life on land", "Sediment Source Fingerprinting", "Sediment transport", "7. Clean energy", "6. Clean water", "FDNPP", "Source-to-Sink", "Japan", "13. Climate action", "11. 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