Biodeterioration symptoms of internal part of buildings (numerical value of deterioration in a 4-point scale).

<p>a) the middle part of building, damages of the floor (3– ground floor: intensive changes, 2– walls: moderate changes); b) block master’s room and storeroom, damages of the wood floor, algae and cyanobacteria colonization (3– ground floor: intensive changes, 1– walls: small changes); c) bunk bed partitions, bulging and crumbling plaster (3– intensive changes); d) damages of bunk beds board caused by wood-decaying fungi (2– moderate changes, locally).</p

Temperature inside the studied buildings [°C]; SD values did not exceed ±1.4°C.

<p>Temperature inside the studied buildings [°C]; SD values did not exceed ±1.4°C.</p

Microbial contamination of building surfaces [CFU 100 cm⁻²].

<p>R - range; M - mean; SD - standard deviation; nd - not detected; nc - not calculated.</p><p>Microbial contamination of building surfaces [CFU 100 cm⁻²].</p

Moisture content and microbial counts in mineral materials depending on distance from the ground: ▴ moisture content [%]; □ number of microorganisms [log CFU g⁻¹].

<p>Moisture content and microbial counts in mineral materials depending on distance from the ground: ▴ moisture content [%]; □ number of microorganisms [log CFU g⁻¹].</p

Technical condition of the buildings and the extent of deterioration.

<p>(+) element present; (*) element damaged; A - algae and cyanobacteria; B - bryophytes; L - lichens; F - wood-decaying fungi; G - ground floor; W - wall; P - bunk beds.</p><p>Scale: 0- no changes, 1- small changes (up to 20% of the area), 2- moderate changes (from 20% to 50% of the area), 3- intensive changes (over 50% of the area).</p><p>Technical condition of the buildings and the extent of deterioration.</p

Brick barracks in section BI (photo by Ł. Szoblik).

<p>Brick barracks in section BI (photo by Ł. Szoblik).</p

Picea abies natural regeneration dataset

<div>There are two datasets in this repository:</div><div>1. plots - it covers densities of natural P. abies regeneration, distance from river, DIFN (light availability) and soil pH </div><div>2. Vegetation - abundances of understory plant species within plots </div><div>All data comes from study plots (squares 25 m2) established in Góry Stołowe National Park, Poland. </div