This collection contains research data produced by University of Stirling researchers. http://hdl.handle.net/11667/40 2026-04-18T04:57:07Z 2026-04-18T04:57:07Z http://hdl.handle.net/11667/273 2026-04-02T11:55:01Z

Title: Workshop Transcripts for: Combined storytelling and mapping approaches for increasing community engagement with woodland creation and expansion projects Dataset Description (Abstract): Workshop transcripts from community engagement workshops (storytelling and participatory mapping) held in May-August 2024. Coding notes for thematic analysis are included.

http://hdl.handle.net/11667/272 2026-04-03T04:31:47Z

Title: The role of the Public Library in Combating Misinformation and Disinformation: a Review Dataset Description (Abstract): This study undertook a review of the role of public libraries in England in addressing misinformation and disinformation in UK society. The project was led by the University of Stirling in collaboration with the University of Glasgow. it was conducted via survey of library staff in England. The deposited data provided here is the Questionnaire data. The Questionnaire consisted of five sections: respondent (library staff) demographics; members of the public that respondents (library) staff interact with; respondent (library staff) mis/disinformation practices; respondent (library staff) mis/disinformation capacity and challenges; and respondent (library staff) mis/disinformation perspectives.

http://hdl.handle.net/11667/271 2026-03-25T05:49:31Z

Title: Community Resilience to Extreme Events Dataset Description (Abstract): Qualitative interview data conducted in 2019. The sample was made up of researchers, policymakers, practitioners and people involved in community groups with a knowledge of community resilience and community development in Scotland and internationally. The final sample included three academics (two faculty, one PhD student), three policy makers from both the national and local level, and six individuals who represented different community groups (n=12).

http://hdl.handle.net/11667/270 2026-03-06T04:27:42Z

Title: Evidences of drought-induced forest decline and tree mortality in the hygrophilous forests of central Chile Dataset Description (Abstract): This dataset compiles field measurements, high‑resolution UAV imagery products, satellite‑derived vegetation indices, and precipitation records to characterize vegetation condition, canopy structure, and long‑term productivity patterns across forested sites in central Chile. The first component consists of phytosociological field data collected over a total sampled area of 5,375 m² across seven protected areas. These records include species identity, diameter at breast height (DBH ≥ 5 cm), and canopy cover for all measured individuals. Tree vitality was classified into three categories, Healthy, Stressed, and Highly Stressed/Dead, based on the proportion of live canopy cover, following a simplified version of the criteria proposed by Dobbertin (2005). These field measurements provide ground‑based information on forest structure and condition. The second component includes multispectral UAV imagery products acquired during the 2022–2023 summer season over two forest sites. The flights produced 8 cm spatial resolution orthomosaics with six spectral bands (Blue, Green, Red, Red Edge, Near‑Infrared, and NDVI). Using supervised classification (maximum likelihood algorithm), five land‑cover classes were mapped: alive canopy, leafless canopy, naked soil, shade, and additional background categories. The classification was trained using manually interpreted polygons and evaluated with a confusion matrix. The resulting land‑cover products quantify defoliated and non‑defoliated canopy areas at fine spatial resolution. The third component contains satellite‑based vegetation productivity products derived from the Harmonized Landsat–Sentinel (HLS) collection. These data include monthly NDVI composites at 30‑m resolution from 2013 onward, produced from atmospherically corrected and cloud‑masked reflectance images. Each NDVI time series was converted into standardized anomaly products based on long‑term means and standard deviations, enabling comparisons of vegetation condition across years. Complementing these, the dataset also includes MODIS NDVI products at 250‑m resolution, covering the period 2002–2025. Monthly NDVI values were used to compute seasonal cumulative NDVI (cNDVI) for each growing season, and these values were standardized relative to a 2002–2007 baseline. The resulting z‑standardized cNDVI (zcNDVI) products provide long‑term regional indicators of vegetation productivity and include extracted time series for the sites where mortality was observed. Finally, the dataset provides precipitation records from weather stations located within 15 km of the affected forest sites. Annual precipitation data from 2002-2024 were transformed into standardized anomalies using the same 2002-2007 reference period. Only stations with complete observations for that baseline were included, resulting in a final set of 18 stations. Supplementary tables list all selected stations and the total number of reporting stations per year.