This education resource comprises earthquake images with background information and descriptions of each image - includes world plate boundaries and earthquake distribution, distribution of earthquakes in Australia and examples of earthquake events, Australia's Seismological Network that is managed by Geoscience Australia, how earthquakes are measured, a case study of Tennant Creek and a map indicating Australia's earthquake hazard. Suitable for primary level Years 5-6 and secondary level Years 7-12.

Four posters approximately A1 in size (31.5 x 25.59 inches) on prehistoric creatures. Each creature is described with its name, diet, geological period, dimension, and interesting facts. Full-colour sketches are included on the posters. Creatures are Brachiosaurus, Trilobite, Stegosaurus, and Tyrannosaurus Rex.

5 educational posters created for the Sapphire Coast Marine Discovery Centre in Eden on Geomorphology, Geology, Land Use and Type, and Seabed Habitats.

Presentation for the National Science Week 2013, AMOS Seminar "The 2003 Canberra fires - 10 years after: What have we learned" 1-5pm CSIRO Discovery Centre 18 August 2013

A comprehensive black and white teachers' guide reviews the history and development of the United Nation's Convention on the Law of the Sea and its application to Australian marine jurisdiction. Case studies on the North West Shelf, Antarctica and Orange Roughy are included. 108 page booklet with student activities and suggested answers. Suitable for secondary geography and science students Years 8-12.

Weathering, erosion and deposition are all around us. Without these processes we would not have our mountains, river valleys, sandy beaches or even the soil in which we grow our food. This booklet outlines the processes of weathering, erosion and deposition for the information of teachers and students. Inlcudes case studies about the formation of many Australian landforms such as Uluru, the Warrumbungles and the Bungle Bungles. The booklet also includes reproducible student activities that provide students with fun and easy ways to learn about the processes that shape the Earth. - 50 page booklet - 8 student activities - suggested answers A comprehensive resource to introduce your students to the concept of regolith, an important way of looking at, and mapping, the landscape. Suitable for primary Years 5-6 and secondary Years 7-12.

CAML is a five year International Program which will be undertaken as a major activity during the International Polar Year. This project will bring together all known data on Antarctic marine biodiversity and ocean change. The Antarctic Ocean is one of the most sensitive ecosystems in the world. Research undertaken via CAML will produce fascinating images of the Southern Ocean Geoscience Australia's Marine and Coastal Group is contributing expertise in sea floor mapping and sediment core collection to CAML. The Australian Government Antarctic Division is collecting oceanographic data, video footage and sediment cores through hot-water drill holes in the Amery Ice Shelf. The sediment cores are collected using a corer designed and built by Geoscience Australia, and are being analysed by scientists at Geoscience Australia to understand the environmental history beneath this ice shelf. This project has now produced four cores. The only other core ever obtained from beneath an extant ice shelf from under the Ross Ice Shelf in the early 1970s showed no signs of life. However, several Amery cores contain diatom-rich sediments, and one contains a succession of benthic faunas that indicate progressive colonisation of the sub-ice sea floor as ice retreated and currents began to seep nutrients and plankton into the sub-ice shelf cavity.

Second edition of the Australian Coasts booklet, aimed at secondary teachers and their students.

Spatial distribution of sponge species richness and its relationship with environmental variables are important for the informed monitoring of ecosystem health and marine environmental management and conservation within the Oceanic Shoals Commonwealth Marine Reserve, in the Timor Sea region, northern Australia. However, the spatially continuous data of sponge species richness is not readily available, and the relationship is largely unknown. In this study, we modelled sponge species richness data of 77 samples using random forest (RF) and generalised linear model (glm) and their hybrid methods with geostatistical techniques (i.e. ordinary kriging (OK) and inverse distance weighting (IDW)) based on seabed biophysical variables. These methods are RF, RFOK, RFIDW, glm, glmok and glmidw that is a new hybrid method. We also examined effects of model averaging using four averaged methods (RFOKRFIDW, RFRFOKRFIDW, glmokglmidw and glmglmokglmidw) and the effects of various predictor sets on the accuracy of predictive models. Four feature selection methods, 1) averaged variable importance (AVI), 2) Boruta, 3) knowledge informed AVI (KIAVI) and 4) recursive feature selection (rfe), were used for RF; and four variable selection methods: 1) stepAIC, 2) dropterm, 3) anova and 4) RF, were employed to select glm predictive models. Predictive models were validated based on 10-fold cross validation. Finally the spatial distribution of sponge richness was predicted using the most accurate model and examined. The main findings are 1) the initial input predictors affect the status of important and unimportant variables; 2) AVI is not always reliable and KIAVI is recommended for selecting RF predictive model, 3) using Boruta can improve the accuracy in comparison with the full model, but it may lead to sub-optimal models; and features selected using rfe are not optimal and can be even misleading; 4) the accuracy of glm predictive model did not align with AIC, deviance explained (%) and deviance explained adjusted (%), suggesting that conventional model selection approaches for glm is unable to identify reliable predictive models; 5) joint application of RF and AIC is a useful model selection approach for developing glm predictive models; 6) the goodness of fit should not be used to assess glm predictive models; 7) the hybrid methods have significantly improved the predictive accuracy for both RF and glm; and the hybrid methods of RF and geostatistical methods are considerably more accurate and able to effectively model count data; and 8) the relationships of sponge species richness with the predictors are non-linear, and high sponge species richness is usually associated with hard seabed features. This study further confirms that: 1) the initial input predictors affect the model selection for RF; 2) the inclusion of highly correlated predictors could improve predictive accuracy, providing important guideline for pre-selecting predictors for RF; and 3) the effects of model averaging are method dependent or even data dependent. This study also provides important information for future monitoring design, particularly on the areas where the management and conservation of sponge gardens should be focused.

No abstract available