Code to produce "VegVault database v1.0.0"
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902274282881024 |
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| author | Ondřej Mottl |
| author_facet | Ondřej Mottl |
| contents | <h1>VegVault database v1.0.0</h1> <p>The goal of this repo is to create an SQLite database within the <a href="https://bit.ly/VegVault"><strong>VegVault</strong> project</a>.</p> <p>VegVault is compiling extensive paleo- and neo-ecological vegetation data into a single, accessible database, accompanied by functional traits, and abiotic information, such as climate and soil. By bridging historical and contemporary data, VegVault provides a unique resource for examining long-term ecological patterns and processes, thereby enhancing our ability to predict future biodiversity trajectories and ecosystem responses under changing climatic conditions.</p> <p>Creating such an integrated database, in which gathering and processing of the data is reproducible, is a crucial step toward improving our understanding of biodiversity dynamics under changing climatic conditions and safeguarding biodiversity in an uncertain future.</p> <p>This is part of <a href="https://ondrejmottl.github.io/projects/BIODYNAMICS/">BIODYNAMICS project</a>.</p> <h2>Database</h2> <p>The VegVault database v1.0.0 is an SQLite database of a size of ~ 110 GB stored in the <a href="https://doi.org/10.48700/datst.m7ky4-4de51">National Repository('Národní repositář')</a>. It contains > 480 000 Datasets, > 13 000 000 Samples, > 110 00 Taxa, 6 vegetation Traits, > 11 000 000 Trait values, and 8 abiotic variables.</p> <p>VegVault integrates data from multiple well-established sources to provide a comprehensive view of vegetation dynamics.</p> <h2>This Repo</h2> <p>The data processing and integration into VegVault follow a meticulous workflow to ensure consistency and reliability. Each data source is first accessed and processed individually using a specific pipeline. All processing pipelines with their corresponding Tags are then migrated into an SQLite database using this repo, ensuring its reproducibility and transparency of the development of the database.</p> <p>In addition to the consolidation of all processed data into a unified SQLite database, this repo performs three additional procedures: (i) taxa classification, (ii) grouping of traits into Trait Domains, and (iii) creation of gridpoints for abiotic data.</p> <p>Please visit <a href="https://bit.ly/VegVault">VegVault website</a> for more details.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14777448 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Code to produce "VegVault database v1.0.0" Ondřej Mottl <h1>VegVault database v1.0.0</h1> <p>The goal of this repo is to create an SQLite database within the <a href="https://bit.ly/VegVault"><strong>VegVault</strong> project</a>.</p> <p>VegVault is compiling extensive paleo- and neo-ecological vegetation data into a single, accessible database, accompanied by functional traits, and abiotic information, such as climate and soil. By bridging historical and contemporary data, VegVault provides a unique resource for examining long-term ecological patterns and processes, thereby enhancing our ability to predict future biodiversity trajectories and ecosystem responses under changing climatic conditions.</p> <p>Creating such an integrated database, in which gathering and processing of the data is reproducible, is a crucial step toward improving our understanding of biodiversity dynamics under changing climatic conditions and safeguarding biodiversity in an uncertain future.</p> <p>This is part of <a href="https://ondrejmottl.github.io/projects/BIODYNAMICS/">BIODYNAMICS project</a>.</p> <h2>Database</h2> <p>The VegVault database v1.0.0 is an SQLite database of a size of ~ 110 GB stored in the <a href="https://doi.org/10.48700/datst.m7ky4-4de51">National Repository('Národní repositář')</a>. It contains > 480 000 Datasets, > 13 000 000 Samples, > 110 00 Taxa, 6 vegetation Traits, > 11 000 000 Trait values, and 8 abiotic variables.</p> <p>VegVault integrates data from multiple well-established sources to provide a comprehensive view of vegetation dynamics.</p> <h2>This Repo</h2> <p>The data processing and integration into VegVault follow a meticulous workflow to ensure consistency and reliability. Each data source is first accessed and processed individually using a specific pipeline. All processing pipelines with their corresponding Tags are then migrated into an SQLite database using this repo, ensuring its reproducibility and transparency of the development of the database.</p> <p>In addition to the consolidation of all processed data into a unified SQLite database, this repo performs three additional procedures: (i) taxa classification, (ii) grouping of traits into Trait Domains, and (iii) creation of gridpoints for abiotic data.</p> <p>Please visit <a href="https://bit.ly/VegVault">VegVault website</a> for more details.</p> |
| title | Code to produce "VegVault database v1.0.0" |
| url | https://doi.org/10.5281/zenodo.14777448 |