five

Enriched Time-Series Dataset of Polish Forest Composition (2009-2019)

收藏
DataCite Commons2025-11-28 更新2026-05-04 收录
下载链接:
https://mostwiedzy.pl/en/open-research-data/enriched-time-series-dataset-of-polish-forest-composition-2009-2019,1126091312111231-0
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains processed forest inventory data from Polish State Forests covering the period 2009-2019. The dataset includes both original inventory measurements and derived metrics calculated using established forestry and ecological methods. Dataset Contents: Data files: Original data with standardized classifications (1,260 records) Annual summary statistics (11 years) Biodiversity indices (Shannon, Simpson, Pielou's evenness, species richness) Forest structure metrics (age distribution, weighted mean age) Composition analysis (coniferous/deciduous ratios, dominant species) Growth and productivity metrics (MAI, CAI, volume density) Temporal trends (year-over-year changes) Species-specific annual metrics (110 records: 10 species × 11 years) Data Provenance System Each calculated variable includes a companion column indicating its source: RAW: Original measurement from inventory RAW_SUMMED: Aggregated raw values CALCULATED: Formula-derived from raw data COUNTED: Direct count from data DETERMINED: Identified through analysis Documentation: Data dictionary: Definitions for 100+ variables Methodology: Formulas and scientific references for all calculations Metadata: Explanation of source type categories README: Dataset overview and usage information Limitations: Species are taxonomically aggregated (e.g., "Oak" includes multiple Quercus species) National-level data without regional breakdowns Avg_Age field provided only for species-level totals (Total_Area), not for age class breakdowns (110/1,260 records) Age class midpoints estimated where exact distributions unavailable
提供机构:
Gdańsk University of Technology
创建时间:
2025-11-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作