Inter- and transdisciplinary mountain data in the Carpathians

Meteorology and climate science Climate change (mitigation and/or adaptation) Cryopshere Hydrology Biosphere / ecology Natural hazards / DRR Energy Society and economy Agriculture Tourism Environmental management Sustainable development Other (please specify below)

Local (e.g. small field sites) Regional (e.g. catchment-scale, administrative districts, etc.) Mountain range (e.g. entire Carpathians) Global Across scales

Historical: Paleo Historical: Recent years and decades Future: Real-time or near real-time forecasting Future: Seasonal projections Future: Longer term projections / planning, including probabilistic approaches Multiple time horizons

Word of mouth / from colleagues From reading journal articles and technical reports From conference / virtual presentations Via web-searches (e.g. Google) By searching dedicated geospatial catalogues (e.g. NASA Earth Explorer, Copernicus Open Access Hub, GEO System of Systems) All of the above Other (please specify below)

Never Sometimes Often

Making the actual measurements / data processing Generating informative metadata Finding a suitable persistent and discoverable repository Selecting an appropriate licencing option Not applicable (e.g. I am a not a data provider) Other (please specify below)

Limited time / funding Limited technical capacity Institutional competition Not all journals / funding agencies require data sharing (lack of incentive) Large file sizes / IT constraints Other (please specify below)

Extend existing in situ observatories and establish new ones, ultimately developing a network of Mountain Observatories with some common standards Exploit the potential of contemporary high-resolution satellite-based Earth Observation products and related technologies (e.g. Data Cubes) Combine in situ data, remotely-sensed data, and numerical models to generate spatially and temporally complete datasets that are informed to the greatest extent possible by all available observations Exploit the latest climate models for both historical reanalyses and future predictions Other (please specify below)

Efficient filtering by region / discipline Link to / provision of associated documentation and metadata Link to data repository and straightforward data download Geospatial visualisation Geospatial interaction (e.g. querying layers) Ability to create and download spatio-temporal subsets Ability to combine datasets to generate metrics oriented towards policy- and decision makers Information on associated licencing conditions for each dataset Other (please specify below)