Datasources and datasets occupy the highest levels of the TERN EcoPlots data hierarchy. All information in EcoPlots belongs to one or multiple datasources. Then the main datasource may be subset into one or more datasets (that may also be referred to as projects).
Datasources
To retrieve more details about the available datasources in EcoPlots, you should use the /datasources endpoint.
Request example:
curl -X POST "https://ecoplots.tern.org.au/api/v1.0/datasources?dformat=ndjson" -H "accept: */*" -H "X-Api-Key: aAbBcC...xXyYzZ" -H "Content-Type: application/json" -d "{\"query\":{}}"
Response excerpt:
{
"dataset":"TERN Surveillance Monitoring",
"datasetId":"http://linked.data.gov.au/dataset/ausplots",
"description":"<p> AusPlots is a collection of ecological data and samples gathered from a network of plots and transects across Australia by the TERN Ecosystem Surveillance team, using standardised methodologies. </p> <p>The AusPlots collection provides the ecological infrastructure to: </p> <ul><li>quantify the richness and cover of plant species (including weeds); </li><li>quantify the diversity and abundance of soil biodiversity; </li><li>assess the state, spatial heterogeneity and structural complexity of vegetation, including life-stage; </li><li>record vegetation and soil parameters that assist with the validation of remotely sensed ecological products;</li><li>analyse vegetation structure and change based on a series of photo reference images; </li><li>better estimate soil carbon and nutrient stocks; </li><li>conduct taxonomic validation studies based on collected plant voucher specimens; </li><li>conduct DNA barcoding and population genetic profiling based on collected tissue samples. </li></ul> <p> Overall this information will progress understanding of ecosystem processes, structure and function, and more generally progress understanding of the response to disturbance and longer-term environmental change of rangeland ecosystems, which underpins sustainable management practice.</p>.",
"abstract":"N/A",
"version":"2023-04-19",
"created":null,
"creator":"TERN Surveillance Monitoring ",
"creatorId":"https://w3id.org/tern/resources/6be8678c-f354-47da-9667-46daf2a23ac7",
"publisher":"Terrestrial Ecosystem Research Network (TERN)",
"publisherId":"https://w3id.org/tern/resources/a083902d-d821-41be-b663-1d7cb33eea66",
"spatial_extent_min_longitude":113.25800323486328,
"spatial_extent_min_latitude":-42.09260177612305,
"spatial_extent_max_longitude":152.89999389648438,
"spatial_extent_max_latitude":-10.70300006866455
}
...
{ ... }
Datasets
Information in EcoPlots may belong to a smaller datasets, a subset of the main datasource. They may also be referred to as a project. To retrieve more details about the available datasets in EcoPlots, you can use the /datasets endpoint.
Request example:
curl -X POST "https://ecoplots.tern.org.au/api/v1.0/datasets?dformat=ndjson" -H "accept: */*" -H "X-Api-Key: aAbBcC...xXyYzZ" -H "Content-Type: application/json" -d "{\"query\":{}}"
Response excerpt:
{
"project":"Biomass",
"projectId":"http://linked.data.gov.au/dataset/tern-ecosystem-processes/dataset-biomass",
"dataset":"TERN Ecosystem Processes",
"datasetId":"http://linked.data.gov.au/dataset/tern-ecosystem-processes",
"description":"The TERN Ecosystem Processes above-ground woody biomass Database contains diameter, height and above-ground woody biomass data collected across 15 TERN operated sites spanning 11 vegetation types such as: Mallee woodlands, Eucalypt forests and Rainforests. This database provides above-ground woody biomass values across multiple spatial scales: plant communities, plant individuals and individual stems.",
"abstract":null,
"version":null,
"created":null,
"creator":"TERN Ecosystem Processes",
"creatorId":"https://w3id.org/tern/resources/8f2acf9f-3cf2-48c7-b911-ed1b1113932e",
"publisher":"Terrestrial Ecosystem Research Network (TERN)",
"publisherId":"https://w3id.org/tern/resources/a083902d-d821-41be-b663-1d7cb33eea66",
"spatial_extent_min_longitude":116.93900299072266,
"spatial_extent_min_latitude":-43.09550094604492,
"spatial_extent_max_longitude":153.08799743652344,
"spatial_extent_max_latitude":-13.178999900817871
}
...
{ ... }
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