GLOSSA
GLOSSA is a user-friendly R Shiny app for marine species distribution modeling, developed within the ProOceans project. It features an intuitive interface for analyzing multiple species, assessing habitat suitability, and flexible modeling with BART. With visualization tools and export options, GLOSSA simplifies marine analysis while providing comprehensive support through tutorials and documentation.
GLOSSA Data Repository on GitHub
Climate impacts on global hotspots of marine biodiversity
Climate Impact Hotspots Data is a comprehensive dataset for assessing climate-driven changes in global marine biodiversity hotspots, developed from research published in Science Advances (2017). It provides high-resolution data on sea surface temperature, chlorophyll-a concentration, and ocean currents, offering insights into cumulative environmental impacts. With spatially explicit species richness maps and trend analysis tools, this dataset supports marine conservation planning and climate resilience studies. Available for consultation and download, it enables researchers to explore key oceanic changes and biodiversity shifts.
🔗 Access the dataset: Digital CSIC
Spatial congruence between multiple stressors in the Mediterranean Sea may reduce its resilience to climate impacts (Maps – Raw data)
Spatial Congruence Data is a comprehensive dataset for assessing the spatial overlap of multiple stressors in the Mediterranean Sea, developed from research published in Scientific Reports (2018). It provides detailed information on the long-term distribution of various climate and human-induced stressors, offering insights into the most impacted marine areas. With spatially explicit maps and trend analysis tools, this dataset supports marine conservation planning and climate resilience studies. Available for consultation and download, it enables researchers to explore key oceanic changes and biodiversity shifts.
🔗 Access the dataset: Dipòsit Digital de la Universitat de Barcelona
Products obtained from «Climate and human stressors on global penguin hotspots: current assessments for future conservation»
Penguin Hotspots and Stressors Data is a comprehensive dataset developed from the research “Climate and human stressors on global penguin hotspots: current assessments for future conservation.” It provides detailed data on the distribution of penguin species, fishing efforts, and environmental stressors like sea surface temperature, chlorophyll-a concentrations, sea ice, and nightlights. This dataset offers valuable insights into the current and future impacts on penguin populations, supporting conservation efforts globally. Spatially explicit maps and trend analysis tools are included to aid in understanding the environmental challenges penguins face. Available for consultation and download, it helps researchers explore the relationship between climate change and human stressors on penguin habitats.
🔗 Access the dataset: Digital CSIC
Systematic review of mercury values in penguins’ feathers and blood [Dataset]
Penguin Mercury Exposure Data is a comprehensive dataset providing a systematic review of mercury values found in penguins’ feathers and blood, compiled from scientific publications up to January 2022. The data covers various penguin species across the Southern Hemisphere, offering valuable insights into the levels of mercury contamination in penguin populations. This dataset includes 22 variables, such as species, pollutant concentrations, tissue sample types, and geographic location, to support research on the environmental impact of pollutants. It is a key resource for understanding the effects of mercury on penguins and their ecosystems. Available for consultation and download, it contributes to ongoing conservation efforts and pollution studies.
🔗 Access the dataset: Digital CSIC