Summary Data: Monitoring and Observations Effort by Terrestrial Ecoregion

Summary of terrestrial environmental monitoring and observation effort by networks associated with three Australian National Research Infrastructures from 2010 to the present organised by State/Territory, IBRA region, feature type and year. Metadata records were aggregated from biodiversity survey events from the Atlas of Living Australia (ALA, https://ala.org.au/), marine observations collected by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and site-based monitoring and survey efforts by the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/). See Aggregated Data: Environmental Monitoring and Observations Effort for information on the metadata included. This dataset processes data from the Aggregated Data: Environmental Monitoring and Observations Effort dataset to offer counts of metadata records grouped by State/Territory, IBRA region, feature type and year. Feature types follow the EcoAssets Earth Science Features vocabulary (https://doi.org/10.26197/w2a2-6s86). The elements in this dataset are as follows: Year in which activity occurred (2010 to present) State/Territory IBRA7 terrestrial region Feature ID from EcoAssets Earth Science Features vocabulary Feature name associated with feature ID Feature facet 1 - high-level facet based on feature ID - a top-level GCMD Earth Science category (6 terms) Feature facet 2 - intermediate-level facet based on feature ID - second-level GCMD/ANSL category (29 terms) Feature facet 3 - lower-level facet with more fine-grained taxonomic structure based on feature ID - typically a third-level GCMD/ANSL category (36 terms) Count of metadata records matching columns 1-8 Citation Please cite these data as follows: EcoAssets (2023), Summary Data: Monitoring and Observations Effort by Terrestrial Ecoregion (1.0.2023-03-23) [Data set], EcoAssets partnership (Atlas of Living Australia, Integrated Marine Observing System, Terrestrial Ecosystem Research Network, Australian Research Data Commons), DOI: https://doi.org/10.26197/1yz9-x585