Showing results for: [ Psychology and Cognitive Sciences ]
These data were captured as part of the CSIRO Data Practices and Attitudes Survey. The data files contain the R script and the set of measures used for the multi-level modelling of organisational, dis... moreciplinary and domain factors which influence research data sharing practices. For this reason there are four data files, one representing the data aggregated by disciplinary group (discipline_aggregation), one representing the data aggregated by organisational unit (orgunit_aggregation), one representing the data aggregated by domain group (domain_aggregation), and the corresponding R script. less
Group - Knowledge Discovery & Management - - Published 31 Aug 2020
The Australian Dementia Network (ADNeT) Neuropsychology Norming Tool app is a web application designed for clinical neuropsychologists to enter patient cognitive assessment data. The app will summaris... moree the cognitive assessment results and provide a benchmark with respect to normalisation values found in literature. less
BIG - NHMRC ADNeT - APP1152623 Rowe - - Published 31 Aug 2020
1. Multi-spectral super-resolution dataset (extension to PIRM2018 multi-spectral super-resolution challenge dataset).
The dataset includes
- 272 training stereo registered multi-spectral RGB image pai... morers including the original RGB mosaic images.
- 970 raw multi-spectral images. These need to be downsampled (x2 or x3 etc.) to create low-resolution images for training a CNN for the task of super-resolution.
- 50 test images.
2. Dataset for simultaneous colour-prediction and super-resolution.
This dataset includes:
- 250 registered stereo multi-spectral/RGB image pairs for training
- 25 registered stereo multi-spectral/RGB image pairs for validation
- 21 registered stereo multi-spectral/RGB image pairs for testing.less
AIM FSP_TB07_WP05: Optical sensing for marine environments - - Published 10 Jan 2020
Online survey data from Australian residents, distributed nationally, in October 2017. Rating scores of aesthetic beauty are provided for 181 coral reef images that featured a set of specific attribut... morees that were tested as correlates of aesthetic beauty ratings.less
NESP TWQ - 5.6 - Design of an aesthetics long term monitoring program - - Published 29 May 2019
SELTMP is assisting Reef managers and other decision-makers within the Great Barrier Reef region to incorporate the human dimension into their planning and management. Analogous to the Australian Cens... moreus, SELTMP gathers long-term data specific to Reef users, communities and industries, enabling new insights into relationships, vulnerabilities and dependencies between people and the natural resources.less
SELTMP II Social and economic long term monitoring program for the GBR - - Published 26 Feb 2019
Example code for the protein droplet processing algorithms
Legacy data - - Published 01 Mar 2018
Classification pipeline for images produced at the Collaborative Crystallisation Centre
Multi-Stage LSTM (MS-LSTM) is a deep sequence learning architecture that leverage two types of descriptors, i.e., action-aware and context-aware features to determine the action label. To do it at ear... morely stages, MS-LSTM is trained with a novel loss function that encourages correct prediction as early as possible.less
Legacy data - - Published 22 Feb 2018
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation with stochastic gradient variational Bayes inference.
License: Apache 2.0
Legacy data - Data61 Engineering and Design - Published 02 Oct 2017
These models are the product of research undertaken under the 2017 APS Data Fellowship program. This collection included trained MITIE NER models that are ready for use with a standard MITIE library c... morelassifier. A summary Precision, Recall and F1 performance statistics table is included for future reference.less
Legacy data - NER model training - Published 02 Jun 2017