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Showing results for: [ Information and Computing Sciences ]
This is a tutorial demonstration of a DCM plug-in for drawing 3D geometrical shapes, and embedding them in a HTML document.
To view this document, the Google Chrome browser is recommended on the MS-Wi... morendows system.
The native Safari browser on an iOS device or the native browser on an Android device should also be fine.less
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 01 Sep 2017
A collection of images that are used for benchmarking insect classifications, with the aim of supporting reproducible research
RESEARCH - Machine Learning - Reproducible Research - Published 29 Jul 2017
These are benchmark datasets collected from public sources for reproducibility of experimental results.
The final dataset contains 25551 unique pedestrians, allowing for a dataset of over 50K images with mirroring. Additionally, TDB allows the generation of several permutations per source image in order... more to further bolster the training set. Large negative datasets will also be provided, although researchers training cascaded classifiers may require their own bootstrapped negative datasets. Apart from the datasets linked here the authors are willing, within reason, to produce further pedestrian datasets for the scientific community.less
6066000 - AutoMap Business - Toyota Grant - Pedestrian Dataset - Published 19 Jul 2017
Data61 / 2D3D dataset has been prepared for outdoor scene understanding which consists of a series of 2D panoramic images with corresponding 3D LIDAR point clouds. It contains 10 outdoor scenes, each ... moreof which includes a block of 3D point cloud together with several panoramic images. The number of 3D points in the scenes varies from 1 to 2 millions, and each scene contains between 11 and 21 panoramic images.less
6066000 - AutoMap Business - Toyota Grant - 2D3D Dataset - Published 17 Jul 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
AliStat has been written to allow users to evaluate how complete their multiple sequence alignments (MSA) of nucleotides or amino acids are.
In particular, AliStat allows a user to generate four usef... moreul metrics (i.e. the completeness of an MSA (Ca), of a row in an MSA (Cr), of a column in an MSA (Cc), and of homologous sites in a sub-alignment of sequences i and j (Cij)), each of which will tell the user something useful about the distribution of missing data in an MSA.
The information thus obtained can be used to make educated decisions about how the data in the MSA should be analysed phylogenetically.
The output is a set of informative figures, tables, and sub-alignments.
In addition, AliStat produces information that meets the Minimum Reporting Standard (MRS) for MSAs, a concept that we introduce in Wong TFK, Kalyaanamoorthy S, Meusemann K, Yeates DK, Misof B, Jermiin LS. 2017. AliStat: Quality-control metrics for multiple sequence alignments. Nature Methods (in prep).less
CLSD Strategic: Solving Biodiversity Cha - Bioinformatics Software - Published 02 Jun 2017
A program to simulate the evolution of DNA under the mixture models of heterogeneity across lineage and heterogeneity across sites.
Hetero was written to facilitate the development and testing of phy... morelogenetic methods.
In particular, Hetero 2 allows the user to generate nucleotide sequences on a phylogenetic tree under complex conditions.
The complexity of the conditions are such that the evolutionary process can differ from site to site in the DNA as well as from edge to edge in the phylogenetic tree, with the evolutionary process being the variable.
The output is a set of alignments of nucleotides.
For further details, see the manual, which is included with the software.less
HAL-HAS is a program package, comprising HAL-BU, HAL-TD, and HAS, that was written to allow users to infer an optimal model of evolution for a given data set, a given tree.
We introduce a family of n... moreon-stationary and non-homogeneous mixture models that approximate the rate Heterogeneity Across Lineages (HAL) and the rate Heterogeneity Across Sites (HAS) without the assumption of an underlying predefined statistical distribution.less
A set of RDFgraphs representing the International [Chrono]stratigraphic Chart, comprising Turtle serializations of data from the2016 version, along with updated ontologies that define the structure of... more the data.
In this version the Geological Timescale Model is aligned with the W3C OWL-Time ontology https://www.w3.org/TR/owl-time/ for the temporal topology, with OGC GeoSw3PARQL http://www.opengeospatial.org/standards/geosparql for location data, and with the W3C SOSA/SSN ontology for samples. less
Connecting Information and People Strategic 16-17 - Spatial data on the web - Published 12 May 2017
A conical-shaped pin of cold sprayed titanium was prepared using a CGT Kinetiks 4000 system. After a synchrotron X-ray micro-CT scan the titanium pin was heat treated at 850 degree C for 4 hours. The ... moresecond micro-CT scan was performed. Both X-ray CT data were analysed using DCM for their 3D porosity distributions. less
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 10 Aug 2017
A library for the Arduino platform which provides communication with a NATS streaming server.
Smart Infrastructure Systems - Build decentralised data processing system - Published 23 Feb 2017
This workbook contains the survey data reported in: "Sanderson, Todd; Reeson, Andrew; Box, Paul. Understanding and unlocking the value of public research data: OzNome social architecture report. Canbe... morerra: CSIRO; 2017. csiro:EP168075. https://doi.org/10.4225/08/58a5e8d940904"
There are two CSIRO Data Access Portal (DAP) surveys reported in the workbook, (1) a survey of depositors to the DAP, and (2) a survey of DAP withdrawers (users). Each of these were conducted under CSIRO Social Science Human Research Ethics Committee Approval: project 055/16 “Data Access Portal – costs and benefits for depositors and users”.
(1) The survey of depositors involved semi-structured interviews with depositors of research data collections on the DAP. This group were entirely composed of researchers within CSIRO. Depositors were interviewed using guiding questions which are presented here and in Appendix A of the report. A total of 15 data depositors from a wide variety of research disciplines accepted invitations and were interviewed. Because the interviews were semi-structured, not all questions were answered by respondents; the corresponding cells have been left blank. The interviews were conducted exclusively over the phone for a period of 30 minutes, during April 2016. In order to maintain their anonymity, some responses and some sections of responses have been removed. In these instances, a "YYYYY" will appear in the cell or text to indicate redaction.
(2) The survey of withdrawers (users) of the DAP involved a structured online survey with a focus on eliciting their assessment of the value of the data collections they were using. Withdrawers were presented with questions reported here and in Appendix B of the report. The survey was administered using a Survey Monkey application, to which a link was presented in a banner on the DAP webpage inviting users to participate. Banner advertising text: “Please help us understand the value of data in the Data Access Portal - to take part in our survey please visit https://www.surveymonkey.com/r/529MT2P”. The survey captured responses from 23 users over the period October 2016 - February 2017. less
OzNome Core - Data Access Portal - value of data survey - Published 22 Feb 2017
This references the open source release of the 3rd Eye Scene code library. 3rd Eye Scene is a visual debugger and debugging aid in the vain of the Robot Operating System (ROS) rviz or physics engine v... moreiewers such as Havok Visual Debugger or PhysX Visual Debugger. Whereas those tools are tightly bound to their respective SDKs, 3rd Eye Scene can be used to remotely visualise and debug any real time or non real time 3D algorithm. Conceptually, it can be thought of as a simple remote rendering application. A 3rd Eye Scene (3es) server may be embedded into any program, then 3es render commands may be interspersed throughout the program. The 3es viewer client application is then used to view, record and playback these render commands.
Legacy data - Debugging - Published 08 Dec 2016
This is one of two collection records. Please see the link below for the other collection of associated audio files.
Both collections together comprise an open clinical dataset of three sets of 101 n... moreursing handover records, very similar to real documents in Australian English. Each record consists of a patient profile, spoken free-form text document, written free-form text document, and written structured document.
This collection contains 3 sets of text documents.
Data Set 1 for Training and Development
The data set, released in June 2014, includes the following documents:
Folder initialisation: Initialisation details for speech recognition using Dragon Medical 11.0 (i.e., i) DOCX for the written, free-form text document that originates from the Dragon software release and ii) WMA for the spoken, free-form text document by the RN)
Folder 100profiles: 100 patient profiles (DOCX)
Folder 101writtenfreetextreports: 101 written, free-form text documents (TXT)
Folder 100x6speechrecognised: 100 speech-recognized, written, free-form text documents for six Dragon vocabularies (TXT)
Folder 101informationextraction: 101 written, structured documents for information extraction that include i) the reference standard text, ii) features used by our best system, iii) form categories with respect to the reference standard and iv) form categories with respect to the our best information extraction system (TXT in CRF++ format).
An Independent Data Set 2
The aforementioned data set was supplemented in April 2015 with an independent set that was used as a test set in the CLEFeHealth 2015 Task 1a on clinical speech recognition and can be used as a validation set in the CLEFeHealth 2016 Task 1 on handover information extraction. Hence, when using this set, please avoid its repeated use in evaluation – we do not wish to overfit to these data sets.
The set released in April 2015 consists of 100 patient profiles (DOCX), 100 written, and 100 speech-recognized, written, free-form text documents for the Dragon vocabulary of Nursing (TXT). The set released in November 2015 consists of the respective 100 written free-form text documents (TXT) and 100 written, structured documents for information extraction.
An Independent Data Set 3
For evaluation purposes, the aforementioned data sets were supplemented in April 2016 with an independent set of another 100 synthetic cases.
Legacy data - Generation of synthetic nursing handover data set - Published 21 Mar 2017
This is one of two collection records. Please see the link below for the other collection of associated text files.
The two collections together comprise an open clinical dataset of three sets of 10 ... morenursing handover records, very similar to real documents in Australian English. Each record consists of a patient profile, spoken free-form text document, written free-form text document, and written structured document.
This collection contains 3 X 100 spoken free-form audio files in WAV less
Lansdown pasture photograph series - nadir-pointing cameras on two separate 2.8m x 2.0m plots.
Series of digital photographs of pasture captured by two digital cameras 2.5 m above the ground in a dow... morenward-pointing position. Camera field of view approximately 2.8m x 2.0m at ground level. Images captured at 30 minute intervals from 2011-09-07 to 2013-08-10.
Cameras were Pentax Optio WG-1 digital cameras (13.8 megapixels). Images saved in JPG format.
Node 1081 (fenced): Lon. 146.85058, Lat. -19.66143
Node 1080 (unfenced): Lon. 146.85090, Lat. -19.66113
Distance between nodes approx. 50m.less
CLOSED-Application real-time sensor net - A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures - Published 08 Sep 2016
A set of machine readable resources that are part of the output of a project undertaken for the Commonwealth Department of Environment, under the Essential Environmental Measures program. These repres... moreent an information model for vegetation sites data, comprising
- a UML model in a .EAP file (database for use with Sparx Systems Enterprise Architect)
- an OWL Ontology implementation
- RDF files (TTL format) of some example data
- XML files of the same example dataless
LWF-Water Resource Management-Consultanc - Information model for vegetation sites data - Published 28 Jul 2016
Workspace plugin for interacting with geospatial data sets. Building upon the Geospatial Data Abstraction Library (GDAL), the Workspace Geospatial Plugin allows users to ingest and process geospatial ... moredatasets such as GeoTIFF files in their workflows. Users are also able to ingest a number of web service standards by the Open Geospatial Consortium, such as the Web Mapping Service and Web Coverage Service.less
CSS-TCP - Workspace - Workspace version 4.0.0 - Published 12 Jan 2017
DCM plugin for generating hydrogen atom wave functions and electron probability densities for interactive visualization using a web browser.
CSS-TCP - Data Constrained Mater - Data-constrained modelling (DCM) - Published 20 Oct 2016
This is a library of many hundreds of hours of wireless body area network (BAN) channel measurements of BAN radio channel transmit-receive link gain, featuring many different transmit-receive position... mores.
The two VSA subfolders imply that a A National Instruments Vector Signal Analyzer (VSA) was used for the data measurements recorded in those subfolders.
The wearable radio data was captured using a NICTA developed wearable channel sounder/radio.
Please see Info.txt in sub-folders that can further describe the process, links, environment, carrier frequencies, measurement scenario, etc. for capturing body area network (BAN) channel gain data (majority on-body, but some off-body, none in-body).
Except, where otherwise indicated the measurement environment for the Wearable radio data, is "Everyday" mixed-activity data denoting a range of person-wearing-radio measurement locations.
All data is stored in Matlab binary .mat files as structs which when loaded contains one struct named "data". Most fields in the data struct, labeled 'pl*' represent a particular Tx/Rx link, containing a contiguous data-series of negative path loss in dB, which is equivalent to channel gain (magnitude) in dB.
To open the file .mat file, type load filename (whatever the file name is for the particular data) at the Matlab command prompt.
To access any field's data in the "data" struct, type data.fieldname (whatever the fieldname is) at the Matlab command prompt.
In the VSA folders all fields are the BAN Tx/Rx link data,
whereas in the wearable_radio folders the first three fields, which are the same for all data in these folders are:
-carrier_frequency (in Hz)
-fs (packets per second across whole wearable radio network being measured - not necessarily the channel gain sampling rate for a particular link, please see relevant "info.txt" in each particular sub-folder for more details) and
-tx_power in dBm.
Across all measurements there were 22 adult subjects used to capture this BAN channel data. In each .mat file filename, each adult subject is referred to anonymized, with gender, i.e. Male or Female, followed by a number identifier. Thus, e.g., any filename that contains "Male1" implies the BAN link data captured for the same male person accross all filenames containing "Male1", similar for "Female1", "Male2", etc...
The first 8 characters of each .mat filename refer to the date on which the particular data was collected, i.e., "20081030" implies the data was collected on 30-October-2008.
Each Tx/Rx link field in the .mat data is referred to with *_Txlocation_Rxlocation in the fieldname.
Please also note that in all of the wearable_radio data when the channel power dropped below receiver sensitivity of the wearable radio, the path loss data value is recorded as not-a-number NAN. (A NAN is generally recorded when the channel gain drops below -100 dB in the wearable radio data here).
However the measurement process for the VSA was sufficiently sensitive to capture all values of channel gain data (hence there are no NANs in this data).less
Legacy data - Body Area Networks measurements - Published 19 Jun 2017
These data sets have been simulated to appear similar to natural real world data sets, but with known characteristics. In particular, the number of endmembers is known. The data are stored in Matlab f... moreormat and further compressed as a zip file. The name of each data set has the format "name_subnwv_simnems.mat.zip", where
"name" is a shorthand name for the corresponding real world data set;
"nwv" is the number of wavelengths/bands in the simulated data set; and
"nems" is the number of endmembers used in the simulated data set.
In addition, the Mt. Isa data set, which does not cover the full rectangle, has associated with it a binary mask, "mtisa_mask.mat.zip", over which any analysis should be applied.less
Legacy data - Simulation results - Published 27 Jul 2016
KSN Project 2.2.2 provides key information on the oceanographic and biological forcing associated with nutrient supply that determines the near-shore productivity of the Kimberley region, and links th... moreese with higher trophic levels. Key objectives of the research were - To make new estimates of pelagic primary productivity, identifying the key physical and community processes driving production in the region. - To better describe the phytoplankton and zooplankton communities in coastal waters of the Kimberley, to determine the trophic linkages within these communities and to identify the key factors controlling pelagic secondary productivity. - To integrate these parameters into an extensible biogeochemical modelling framework, allowing predictive linkages between physical and biological processes in the region. This metadata records specifically relates to modelling aspects of the project completed by CSIRO. The data originates from a number of model simulations conducted between 3/1/2010 to 21/12/2010. All field data is held by AIMS.less
WAMSI-Kim 2.2.2 Biogeochemical pr - Biogeochemical modelling - Published 22 Jun 2016
SISSVoc is a Linked Data API for accessing published vocabularies. SISSVoc provides a RESTful interface via a set of URI patterns that are aligned with SKOS. These provide a standard web interface for... more any vocabulary which uses SKOS classes and properties.
SISSVoc provides web pages for human-readable views, and machine-readable resources for client applications (in RDF, JSON, and XML). SISSVoc is implemented using a Linked Data API façade over a SPARQL endpoint. This approach streamlines the configuration of content negotiation, styling, query construction and dispatching.less
Auscope Grid SISS CLOSED - SISSVoc - Published 31 May 2016
The Water and Energy Supply and Consumption (WESC) data standard has been developed by CSIRO to support a common represention of data for supply and consumption of water and energy and its delivery vi... morea standardised OGC services.
The information model allows for data to be delivered in a consistent format and is the basis for the exchange format (XML schemas) for encoding datasets.less
AURIN Lens 6/2 - WESC Information modelling - Published 31 May 2016