5 research outputs found

    VARDA (VARved sediments DAtabase) – providing and connecting proxy data from annually laminated lake sediments

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    Varved lake sediments provide long climatic records with high temporal resolution and low associated age uncertainty. Robust and detailed comparison of well-dated and annually laminated sediment records is crucial for reconstructing abrupt and regionally time-transgressive changes as well as validation of spatial and temporal trajectories of past climatic changes. The VARved sediments DAtabase (VARDA) presented here is the first data compilation for varve chronologies and associated palaeoclimatic proxy records. The current version 1.0 allows detailed comparison of published varve records from 95 lakes. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. VARDA additionally provides a technical environment that enables to explore the database of varved lake sediments using a connected data-model and can generate a state-of-the-art graphic representation of multi-site comparison. This allows to reassess existing chronologies and tephra events to synchronize and compare even distant varved lake records. Furthermore, the present version of VARDA permits to explore varve thickness data. In this paper, we report in detail on the data mining and compilation strategies for the identification of varved lakes and assimilation of high-resolution chronologies as well as the technical infrastructure of the database. Additional paleoclimate proxy data will be provided in forthcoming updates. The VARDA graph-database and user interface can be accessed online at https://varve.gfz-potsdam.de, all datasets of version 1.0 are available at http://doi.org/10.5880/GFZ.4.3.2019.003 (Ramisch et al., 2019)

    FAIR WISH "FAIR SAMPLES Template"

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    <p>This template presents the suggested IGSN metadata elements for sample descriptions of different sample types relevant in the context of the FAIR WISH project and shall serve as the basis for batch uploading sample-metadata to the IGSN server (FAIR SAMPLES TEMPLATE). The modular template was developed as an all-in-one solution for the varying use cases, with the ability for users to select only the variables needed for their specific sample type. This template can serve for the description of individual samples and for hierarchical sample structures later during the project (i.e. vegetation plot > soil pit > soil horizon > soil sample).</p> <p>The FAIR SAMPLES TEMPLATE was developed as Microsoft Excel spreadsheet and will be the source for semi-automated generation of standardised XML files required for the IGSN registration and IGSN landing pages. The development strategy of the template was explicitly followed to meet the practice of researchers who mainly organise their sample descriptions in tables. Furthermore, as often information for 100 and more samples are to be registered, submitting information via bulk uploads is favoured compared to submitting information for each sample individually via a webform. We develop the template for Excel, as this is widely used in the community. It will further be possible to work with the template with Open Source programs, like Libre Office or organise the information as ASCII csv files.</p> <p>The FAIR SAMPLES TEMPLATE includes a “Guide” which describes all available fields and additionally enables the selection of those variables which are necessary to describe one’s sample data. For this deliverable, we provide the full metadata schema, including the metadata fields and (sub)properties required for the IGSN registration schema (that will be provided by the allocating agent) and metadata fields that can be derived automatically and do not need to be provided by the users (e.g. the ROR identifier that will be included via an API). In addition, we adjusted the field names for the user template [column "Variable (Column name)" in the “Guide”] so that they are understandable by researchers and more intuitive than the original metadata field names in the IGSN metadata schema.</p> <p>The template will be updated on a regular basis.</p> <p>Version history:</p> <p>(10 January 2023) publication of the first version 1.0</p> <p>(30 April 2023) metadata update: change of title and exchange of first and second authors</p&gt

    Data inventory of the varve database (VARDA): Sediment profiles, chronologies, radiocarbon dates, tephra layers and varve thickness data

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    The data collection presented here is the data inventory of the VARved sediments DAtabase (VARDA) in version 1.1. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. All data were collected as raw data from freely available online sources, either from online data repositories (Pangaea, NOAA, and Neotoma) or data archives within the supplementary materials section of online publications. The current data collection consists of meta information and datasets from 95 lake archives. The data is stored in JSON and CSV format. All datasets are stored as individual files (JSON and CSV). Each dataset consists of samples for either i) chronologies; ii) radiocarbon data; iii) tephra layer; or iv) varve thickness data. Meta-information for each dataset is summarized in one csv and seven JSON files. Additional paleoclimate proxy data will be provided in forthcoming updates of VARDA. The data collection of VARDA Version 1.1 is provided as an archive (.tar.gz) with the following files/folders. Overview lists with categories, cores, countries, datasets, lakes and publications included in VARDA. Each item in the lists is cross-referenced with the other files via its $ref property which includes the corresponding list index or the dataset's UUID (from the VARDA database). The data points themselves are provided in the "records" folder and named with each dataset's UUID respectively. For more information on the data structure please read the "index.html" file included in the archive and available on the DOI landing page

    Biochemistry of the Peroxisome in the Liver Cell

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    Biochemie des Peroxysoms in der Leberzelle

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