Data

R package of Species Sensitivity Distribution (SSD) benchmark datasets

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/7c0c95ec-23ca-4269-a9a9-e3fd003dea1a&rft.title=R package of Species Sensitivity Distribution (SSD) benchmark datasets&rft.identifier=https://apps.aims.gov.au/metadata/view/7c0c95ec-23ca-4269-a9a9-e3fd003dea1a&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=ssddata is an R package of Species Sensitivity Distribution (SSD) benchmark datasets that can serve as a reference standard for testing and evaluation.The package includes a range of data sets sourced from the Canadian Council of Ministers of the Environment (ccme), the Australian Institute of Marine Science (aims), the CSIRO (csiro), and the Australian and New Zealand water water quality guideline website (angz), as well as anonymous datasets supplied by the Department of Agriculture Water and Environment and other parties (anon). The source of each dataset are indicated using a pre-fix in the data name (e.g. ccme, aims, etc), with the actual chemical name following (e.g. ccme_boron).Please see the GitHub page more info information.Maintenance and Update Frequency: asNeeded&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=westlimit=115.81483035741685; southlimit=-31.983817316419696; eastlimit=115.81483035741685; northlimit=-31.983817316419696&rft.coverage=westlimit=115.81483035741685; southlimit=-31.983817316419696; eastlimit=115.81483035741685; northlimit=-31.983817316419696&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2022). R package of Species Sensitivity Distribution (SSD) benchmark datasets. https://apps.aims.gov.au/metadata/view/7c0c95ec-23ca-4269-a9a9-e3fd003dea1a, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

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CC-BY

Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2022). R package of Species Sensitivity Distribution (SSD) benchmark datasets. https://apps.aims.gov.au/metadata/view/7c0c95ec-23ca-4269-a9a9-e3fd003dea1a, accessed[date-of-access]".

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Full description

ssddata is an R package of Species Sensitivity Distribution (SSD) benchmark datasets that can serve as a reference standard for testing and evaluation.


The package includes a range of data sets sourced from the Canadian Council of Ministers of the Environment (ccme), the Australian Institute of Marine Science (aims), the CSIRO (csiro), and the Australian and New Zealand water water quality guideline website (angz), as well as anonymous datasets supplied by the Department of Agriculture Water and Environment and other parties (anon). The source of each dataset are indicated using a pre-fix in the data name (e.g. ccme, aims, etc), with the actual chemical name following (e.g. ccme_boron).


Please see the GitHub page more info information.

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Maintenance and Update Frequency: asNeeded

Modified: 18 09 2026

This dataset is part of a larger collection

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115.81483,-31.98382

115.81483035742,-31.98381731642

text: westlimit=115.81483035741685; southlimit=-31.983817316419696; eastlimit=115.81483035741685; northlimit=-31.983817316419696

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oceans |

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Other Information
Fox D.R., Fisher R., Thorley J.L., Schwarz C. (2022) Joint Investigation into statistical methodologies underpinning the derivation of toxicant guideline values in Australia and New Zealand. Report prepared for the Department of Agriculture, Water and the Environment. Environmetrics Australia, Beaumaris, Vic and the Australian Institute of Marine Science, Perth, WA. (167 pp)

url : https://environmetrics.net/docs/FOX and FISHER Final_final_report_rev2.3.pdf?189db0&189db0

Species Sensitivity Distribution Data GitHub link - https://open-aims.github.io/ssddata/

url : https://open-aims.github.io/ssddata/

Identifiers
  • global : 7c0c95ec-23ca-4269-a9a9-e3fd003dea1a
ACN 633 798 857