UDTR Global Rights of Nature Radar

Dataset: Enzymatic indicators reveal drought sensitivity of the deadwood–soil system in temperate forests.

Identification

Public canonical key

radar:r-aeac4428f37e68b43fe3403db52de6cb

Authors

Górski, Adam · Lasota, Jarosław · Błońska, Ewa

Reported year

2026

Reported language

und

Source type

Dataset

First detected

2026-11-13T08:38:46.350120+00:00

Last metadata observation

2026-11-13T08:38:46.350120+00:00

Last HTTP verification

Not checked

Institutions reported by the source

University of Agriculture in Krakow

Documentary abstract — original language

This dataset accompanies the published research article "Enzymatic indicators reveal drought sensitivity of the deadwood–soil system in temperate forests" and provides the experimental data used in the study. The dataset consists of two complementary data files: 1. Enzyme activity dataset The dataset contains measurements of five extracellular enzyme activities: β-D-cellobiosidase (CB), β-glucosidase (BG), N-acetyl-β-D-glucosaminidase (NAG), β-xylosidase (XYL) and phosphatase (PH). Measurements were obtained from deadwood and the underlying soil of six temperate forest tree species under control and drought treatments. The dataset covers eight sampling periods between March 2023 and December 2024. 2. Climate monitoring dataset This file contains hourly environmental monitoring data collected during the experimental period (2023–2024). It includes volumetric water content and temperature measurements from the monitored locations, together with calculated differences between measurements. The two datasets provide complementary information on enzymatic activity and environmental conditions in the deadwood–soil system under contrasting moisture conditions. They support the interpretation and reproducibility of the analyses presented in the associated publication and may facilitate further research on drought effects on forest ecosystem processes.

Identifiers

DOI

10.5281/zenodo.23990384

OAI

oai:zenodo.org:23990384

Documentary context

Documentary family

dataset

Source-reported types

Dataset

Publishers

Springer Nature

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

DataCite · Record 1

• Document · https://zenodo.org/doi/10.5281/zenodo.23990384

Documentary status

Relevance pending

Library

This identity is not yet included in the Legal Library.