This dataset is part of the publication ‘Mapping the quality of German language health information on the treatment of knee osteoarthritis - a cross-sectional analysis’ and contains the information quality ratings, assessed using the MAPPinfo checklist.

This dataset includes functional connectivity data layers for all terrestrial vertebrates within and surrouding the European Union. These data were produced by the Horizion EU project NaturaConnect (Task 6.3) as detailed in Deliverable 6.2 "Protected area connectivity: prioritising trans-European ecological connectivity". These data are derived from a novel framework that integrates Omniscape, graph-theory metrics, and randomized shortest paths (RSP) to identify key connectivity pinch points and prioritize ecological corridors for 30 terrestrial vertebrate archetypes hat constitute all vertebrate species in the EU.The dpc_nodes.zip contains a .RDS point spatial layer for each archetype. These are the protected area nodes and their corresponding dPC values that were used for RSP analysis. The omniscape.zip folders are divided by major taxonomic groups. They contain cumulative current density and normalized current density maps for each archetype. The cumulative_rsp.zip contains archetype-specific RSP shapefiles and a merged all vertebrate species shapefile. The "cmltv_n" attribute column should be treated as the integrated corridor priority value.

An analysis workflow quantifies the connectivity of terrestrial habitat types by combining continuous habitat-probability surfaces with fragmentation pressures-road infrastructure—and masking land-cover mismatches. A consistent Europe-wide set of maps quantifies structural connectivity for EUNIS Level-3 habitats, derived from 100 m habitat-probability surfaces (0–1) produced by NaturaConnect (Si-Moussi et al., 2024; Horizon EU, Task 6.3, Deliverable 6.2).Connectivity is measured using probability-weighted, normalized Effective Mesh Size (Meff_pw_norm; Jaeger, 2000) in a moving-window approach. Pixels with low probability (P < 0.1) are excluded; land-cover mismatches are masked using a CLC–EUNIS crosswalk (Si-Moussi et al., 2024) with CORINE Land Cover 2018 (EEA, 2021); and road corridors are removed using a binary OpenStreetMap roads raster. Meff is computed on probability-weighted connected components within a 10.1 × 10.1 km window and divided by the window area (102.01 km²), yielding a 0–1 fraction of effectively connected habitat per pixel.The resulting dataset offers a practical, comparable basis to describe the state of ecological connectivity for habitats of interest, including those protected under the Natura 2000 network.

This dataset is part of the publication ‘Mapping the quality of German language health information on the treatment of knee osteoarthritis - a cross-sectional analysis’ and contains the information quality ratings, assessed using the MAPPinfo checklist.

An analysis workflow quantifies the connectivity of terrestrial habitat types by combining continuous habitat-probability surfaces with fragmentation pressures-road infrastructure—and masking land-cover mismatches. A consistent Europe-wide set of maps quantifies structural connectivity for EUNIS Level-3 habitats, derived from 100 m habitat-probability surfaces (0–1) produced by NaturaConnect (Si-Moussi et al., 2024; Horizon EU, Task 6.3, Deliverable 6.2).Connectivity is measured using probability-weighted, normalized Effective Mesh Size (Meff_pw_norm; Jaeger, 2000) in a moving-window approach. Pixels with low probability (P < 0.1) are excluded; land-cover mismatches are masked using a CLC–EUNIS crosswalk (Si-Moussi et al., 2024) with CORINE Land Cover 2018 (EEA, 2021); and road corridors are removed using a binary OpenStreetMap roads raster. Meff is computed on probability-weighted connected components within a 10.1 × 10.1 km window and divided by the window area (102.01 km²), yielding a 0–1 fraction of effectively connected habitat per pixel.The resulting dataset offers a practical, comparable basis to describe the state of ecological connectivity for habitats of interest, including those protected under the Natura 2000 network.

This dataset includes functional connectivity data layers for all terrestrial vertebrates within and surrouding the European Union. These data were produced by the Horizion EU project NaturaConnect (Task 6.3) as detailed in Deliverable 6.2 "Protected area connectivity: prioritising trans-European ecological connectivity". These data are derived from a novel framework that integrates Omniscape, graph-theory metrics, and randomized shortest paths (RSP) to identify key connectivity pinch points and prioritize ecological corridors for 30 terrestrial vertebrate archetypes hat constitute all vertebrate species in the EU.The dpc_nodes.zip contains a .RDS point spatial layer for each archetype. These are the protected area nodes and their corresponding dPC values that were used for RSP analysis. The omniscape.zip folders are divided by major taxonomic groups. They contain cumulative current density and normalized current density maps for each archetype. The cumulative_rsp.zip contains archetype-specific RSP shapefiles and a merged all vertebrate species shapefile. The "cmltv_n" attribute column should be treated as the integrated corridor priority value.

Data for THz DAC:This includes the following folders:-1) 3_bit_DAC : It contains raw electrical response from 3-bit DAC device and the calculation of its corresponding DNL and INL. It is in the form of a jupyter lab notebook "DNL_INL_analysis_3bit.ipynb" which requires the file "Raw_3bit.csv" and generates a file "DNL_INL_3.csv".2) 4_bit_DAC : It contains raw electrical response from 4-bit DAC device and the calculation of its corresponding DNL and INL. It is in the form of a jupyter lab notebook "DNL_INL_analysis_4bit.ipynb" which requires the file "Raw_4bit.csv" and generates a file "DNL_INL_4.csv".3) Preliminary_3_bit_FM : It contains raw data for electrical response from individual Ferromagnetic stripes and corresponding thin film hysteresis from MOKE measurement.4) Preliminary_4_bit_FMstripes : It contains raw data for electrical response from individual arrays of STE stripes of different widths with error analysis and the hysteresis of STE layer thin film from MOKE measurement.

Data for THz DAC:This includes the following folders:-1) 3_bit_DAC : It contains raw electrical response from 3-bit DAC device and the calculation of its corresponding DNL and INL. It is in the form of a jupyter lab notebook "DNL_INL_analysis_3bit.ipynb" which requires the file "Raw_3bit.csv" and generates a file "DNL_INL_3.csv".2) 4_bit_DAC : It contains raw electrical response from 4-bit DAC device and the calculation of its corresponding DNL and INL. It is in the form of a jupyter lab notebook "DNL_INL_analysis_4bit.ipynb" which requires the file "Raw_4bit.csv" and generates a file "DNL_INL_4.csv".3) Preliminary_3_bit_FM : It contains raw data for electrical response from individual Ferromagnetic stripes and corresponding thin film hysteresis from MOKE measurement.4) Preliminary_4_bit_FMstripes : It contains raw data for electrical response from individual arrays of STE stripes of different widths with error analysis and the hysteresis of STE layer thin film from MOKE measurement.

Recruitment is the most sensitive plant life stage to environmental filters. Yet, most research linking functional traits to environmental filters has focused on adult plants with little known about early plant traits, their interactions with environmental filters, or their relation to species abundance. Likewise, how such relationships might vary between native and exotic species or influence plant invasion outcomes is unclear. We quantified regeneration traits for 12 native and 12 exotic (naturalized and invasive) forbs and evaluated trait relationships and their associations with species abundance across an environmental gradient in semi-arid grasslands. Species differentiated along two orthogonal trait axes suggestive of two distinct trait syndromes. The first trait syndrome, likely associated with competitive ability, was correlated with seed mass and growth-related seedling traits. Conversely, the second trait syndrome revealed a tradeoff between traits related to development and growth with traits related to resource management. This syndrome may reflect different approaches to seedling stress tolerance and avoidance. Neither trait syndromes nor mean trait values differed between native and exotic species, whether exotics were invasive or naturalized. Two traits and one trait syndrome were significantly associated with adult species abundance on the landscape. First, species with faster seedling maturation were generally more abundant. Naturalized exotic species with lower specific leaf area were also more abundant, suggesting a possible link between lower specific leaf area and greater drought survival. Abundance of native and invasive exotic species was greater for taxa with faster development and growth and thin, carbon-rich leaves, traits associated with stress avoidance. Importantly, the greater abundance of invasive exotics over other taxa was not accounted for by differences in regeneration traits.

The dataset contains processed vegetation data from the BDGF monitoring platform (BDGF: Berchtesgaden-Dachstein glacier forefield), covering four glacier forefields in the Northern Limestone Alps: Hallstätter Glacier (1) and Großer Gosau Glacier (2) (both at Dachstein massif, Austria: DS), Blaueis (3) and Watzmann Glacier (4) (both at Berchtesgaden Alps, Germany: BG). It is associated with the study “Introducing a glacier forefield monitoring site network to understand succession in the Northern Limestone Alps” by Ingolf Kühn, Christian Hecht, Ulrike Herzschuh, and Dirk Scherler. In total, 52 permanent plots (each 1 m² with one hundred 10 x 10 cm² grid cells) were established along the chronosequences to study succession since deglaciation. The survey method follows the 1 m² subplot-frequency counts of the GLORIA protocol (Pauli et al., 2015). Total cover of all vascular plant species were estimated in percent. Dataset includes species richness, total frequency, provides a pre-computed Bray-Curtis dissimilarity matrix of the vegetation for ordination and median frequencies of all species with median values greater than zero for each glacier forefield. Data are from 2017 (Dachstein) and 2018 (Berchtesgaden), while cover of vascular plants refers to 2022. In addition, the dataset is accompanied by the R code used to generate the main analyses and figures of the study.