Published August 27, 2026
| Version 1.0.0
Dataset
Open
Plant Species Trends in Lowland Hay Meadows of Baden-Württemberg: Functional and Ecological Characteristics of Winners and Losers
Creators
- 1. Department of Geosciences, University of Tübingen, Tübingen, Germany
- 2. Plant Ecology Group, Institute of Evolution and Ecology, University of Tübingen, Tübingen, Germany
- 3. Plant Evolutionary Ecology, Institute of Evolution and Ecology, University of Tübingen, Tübingen, Germany
Description
This dataset contains data and code used to analyse changes in plant species composition of lowland hay meadows in Baden-Württemberg, Germany.
Files
01_species_and_sources.zip
Files
(421.2 kB)
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Additional details
Data quality
- Accuracy
- The deposited derived datasets and analytical outputs represent the final versions used for the reported analyses. Taxonomic names, variable definitions and derived values were checked during data preparation and analysis. Derived variables and analytical outputs are generated reproducibly by the accompanying R scripts. Known limitations of the underlying source data and analytical procedures are documented in the accompanying documentation.
- Completeness
- The deposit contains the redistributable derived data, analytical results, code and documentation relevant for understanding and reproducing the reported analyses. Third-party source data for which redistribution rights are not available are deliberately excluded from the public files and are identified in the documentation together with their provenance and required input locations.
- Conformity
- Tabular data are provided in standard machine-readable formats with consistent variable names and column structures. Text files and source code use standard text encoding, and dates, identifiers and metadata follow established conventions where applicable. The repository metadata and file descriptions follow the requirements of FDAT.
- Consistency
- Variable names, species names, units and analytical definitions are used consistently across the deposited data, code and documentation. Data from different sources were harmonized before analysis, and derived outputs were checked against the corresponding analytical inputs. The deposited files represent one consistent final version of the analysis.
- Credibility
- The resource was produced as part of a Master's thesis at the University of Tübingen. Data provenance and external data sources are documented, and the deposited analytical code provides a transparent record of data processing and statistical analysis. Creator, supervisor, institutional affiliation and contact information are provided in the repository metadata.
- Processability
- Tabular data are provided in machine-readable formats and analytical procedures are provided as R source code. Files use explicit variable names and structured tables suitable for automated processing. Software and package dependencies required for the analyses are documented with the code.
- Relevance
- The deposit is limited to material relevant to the analysis of long-term plant species occurrence changes in lowland hay meadows and their relationships with functional traits, plant strategies and Ellenberg indicator values. Intermediate or unrelated working files are excluded so that the deposited material remains focused on the analyses and results reported in the associated Master's thesis.
- Timeliness
- This deposit is a versioned snapshot of the data and analytical workflow used for the final Master's thesis submitted in 2026. The underlying occurrence data refer to explicitly defined historical survey periods and are therefore not intended to represent a continuously updated or real-time dataset. Any future revisions of the deposited resource will be documented through repository versioning.
- Understandability
- The deposit includes documentation describing the purpose and structure of the resource, data provenance, relevant variables, file organization and the analytical workflow. Files and variables use descriptive names, and the accompanying code documents the main processing and analysis steps. The metadata provide the temporal, geographic and scientific context required to interpret the deposited material.