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Forests supply multiple ecosystem services and host a large proportion of the Earth's terrestrial biodiversity. In particular, they provide habitats for many taxonomic groups which can be threatened by forest unsustainable management practices. Type and intensity of forest management are widely recognized as the main drivers of structure and functions in forests ecosystems. However, to better understand the impacts and the benefits deriving from forest management, there is a big need to standardize procedures of field data collection and data analysis.Here, we provide a georeferenced dataset of vertical and horizontal structure of forest types belonging to 4 habitat types, sensu Council Directive 92/43/EEC. The dataset includes structural indicators commonly linked to old-growth forests in Europe, in particular the amount of standing and lying deadwood. We collected data on 32 plots (24 of 225 m2, and 8 of 100 m2, according to different forests type) during spring and summer of 2022, in Val d'Agri (Basilicata, Southern Italy). The dataset we provide follows the common national standard for field data collection in forest habitat types, published by ISPRA in 2016 with the aim to promote a greater homogeneity in assessment of habitat conservation status at Country and biogeographical level, as requested by the Habitats Directive.

Background: We aimed to assess the usefulness of the falx cerebri and the corpus callosum measurements as imaging markers of the evaluation of patients with bilateral subdural hematomas., Methods: The anterior-posterior and craniocaudal distances between the falx cerebri (FC) and the corpus callosum (CC) were retrospectively measured in 88 head CT scans from 2018 to 2022 from patients with bilateral subdural hematomas and associated with quantitative data and clinical outcomes. Statistical analysis was performed using multivariate regression and receiver operating characteristic curves., Results: Of the 88 patients included, 77.3% were male and the median age of 76.0 years (interquartile range 14.0). The mean craniocaudal and anterior-posterior FC-CC distances were 27.6 ± 6.2 mm and 25.1 ± 6.9 mm, respectively, and showed a positive correlation with hematoma thickness and volume. Both anterior-posterior and craniocaudal FC-CC distances exhibited moderate to good inter-rater reliability. After adjusting for confounders, the craniocaudal FC-CC distance was associated with an increased risk of altered consciousness at admission (OR=1.013; 95% CI 1.001-1.024; p = 0.031), downward displacement of the third ventricle (OR=1.019; 95% CI 1.001-1.038; p = 0.035), and a reduced time to surgery (β = 0.057; 95% CI 0.007-0.107; p = 0.027)., Conclusion: This study emphasizes that increased FC-CC distances in patients with bilateral subdural hematomas may aid clinical decision-making and are associated with larger hematoma volumes, evidence of descending transtentorial herniation on imaging, and a heightened risk of altered consciousness at admission., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare that are relevant to the content of this article., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Forests supply multiple ecosystem services and host a large proportion of the Earth's terrestrial biodiversity. In particular, they provide habitats for many taxonomic groups which can be threatened by forest unsustainable management practices. Type and intensity of forest management are widely recognized as the main drivers of structure and functions in forests ecosystems. However, to better understand the impacts and the benefits deriving from forest management, there is a big need to standardize procedures of field data collection and data analysis. Here, we provide a georeferenced dataset of vertical and horizontal structure of forest types belonging to 4 habitat types, sensu Council Directive 92/43/EEC. The dataset includes structural indicators commonly linked to old-growth forests in Europe, in particular the amount of standing and lying deadwood. We collected data on 32 plots (24 of 225 m 2 , and 8 of 100 m 2 , according to different forests type) during spring and summer of 2022, in Val d'Agri (Basilicata, Southern Italy). The dataset we provide follows the common national standard for field data collection in forest habitat types, published by ISPRA in 2016 with the aim to promote a greater homogeneity in assessment of habitat conservation status at Country and biogeographical level, as requested by the Habitats Directive., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)