This data set is a collection of Highly Important Papers in Ecology (HIPE). Three files are included: VoteArticles.final.csv : a comma-delimited text file with the vote assessments on the relative quality of the submitted papers (Top 10, Between 11-25, Between 26-100 or Not in the top "100") and an indication of how well each voter knew the paper (Read it, Know it or Don't know it) HIP.refs.txt : tab-delimited text file with all paper bibliographic information citation.csv : a comma-delimited text file with the citation data (Google Scholar, Web of Knowledge) for each paper and each journal (Impact Factor).

<br>This dataset lists plant species and their abundance identified at rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br>Plant occurrences (i.e. a sample of a plant at a particular point and time) are methodically identified at each site as part of the AusPlots Point intercept method. Plant species are identified at each site as part of the AusPlots Vegetation vouchering and Basal Area methods. In addition to site visit date and location, the information provided includes growth form, vegetative height and whether the plant is dead. In-canopy-sky is also recorded if there is no intercept to foliage or branches when viewing the canopy through the densitometer and can be used to calculate species cover or aerial cover. Other recorded information includes dead plants basal area and the number of sampling points. Species identification is updated once confirmed by Herbaria. Plant occurrences data can be aggregated across the site to calculate relative species abundance, green ground cover, species- growth form- and -community-level basal area.<br /> <br>In addition, at least one specimen is taken from each species at the site, assigned a barcode and provided for vouchering and further analyses. See AusPlots Rangelands Vocabularies for a list of parameters collected. </br>

<p>The Biological Databases of South Australia (BDBSA) is South Australia's flora and fauna database that stores and manages specimen and observation records. This record is the fauna component that contains over 2.3 million measurements collected from over 200,000 sites, across 726 species since 1976. This dataset includes occurrence data and morphometric information for invertebrates, fish, mammals, birds, reptiles and amphibians. The resulting database provides a comprehensive record of biodiversity across sites visited during a diverse range of biodiversity projects undertaken in South Australia and provides a basis for future monitoring or other relevant work such as species modelling.</p> <p>Only validated BDBSA data is made publicly available and all records of sensitive taxa have been masked from the dataset. Data is accessible from the TERN EcoPlots portal, which provides the ability to extract subsets of fauna data across multiple data collections and bioregions for more than 27 variables including animal body size, body length, head length, number of individual animals, and number of individual plants. </p>

<p>The Biological Databases of South Australia (BDBSA) is South Australia's flora and fauna database that stores and manages specimen and observation records. This record is the flora component that contains 1,050,631 plant measurements collected from 224,572 sites, across 5565 plant species since 1976. This dataset includes vegetation structural attributes, observations on individual plants such as stem diameter, crown extent and crown density, as well as occurrence data. The resulting database provides a comprehensive record of plant diversity across sites ground-truthed during a diverse range of biodiversity projects undertaken in South Australia and provides a basis for future updating of mapping or other relevant work such as species modelling.</p> <p>Only validated BDBSA data is made publicly available and all records of confidential taxa have been masked from the dataset. Data is accessible from the TERN Data Infrastructure, which provides the ability to extract subsets of vegetation data across multiple data collections and bioregions for more than 31 variables including stem diameter, tree crown extent, and number of individual plants. </p>