Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Location of Terrestrial Ecosystem Research Network Monitoring Sites. TERN aims to connect and enable ecosystem scientists to collect, contribute, store, share and integrate data across disciplines.

Purpose

To locate Terrestrial Ecosystem Research Network Monitoring Sites.

Dataset History

TERN AusPlots sites downloaded from the AEKOS data portal 15/11/13 Citation: TERN AusPlots, ( 2015 ) Terrestrial Ecosystem Research Network AusPlots - Ausplots Rangelands Survey Program (biodiversity mapping supplement/subset). Adelaide, South Australia. AEKOS - TERN Ecoinformatics. , DOI: 10.4227/05/54C1B45A4CF2F see http://portal.aekos.org.au/dataset/172373

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Terrestrial Ecosystem Research Network Monitoring Sites - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/c826109d-add0-45d4-9a77-39f672b48980.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This dataset gives the extents of South Australian pastoral lease stations and other properties within the pastoral region of SA. The extents of the properties shown are based on the areas being managed by the leasees and boundaries are defined by fence lines rather than legal lease boundaries. Fences and legal lease boundaries are frequently divergent.

Purpose

This dataset will show the extents of South Australian pastoral lease stations within the pastoral region of SA.

Dataset History

Assessment/Inspection officers visit each station and drive around the property using a mobile device with GPS capability for field data entry including tracking and waypoints of features. The station owner/manager also contribute new information. Maps are often used to explain complex fencing changes. The GIS officer is responsible for adding the changes collected in the field into the database using ESRI ArcGIS software. Imagery and GoogleEarth are often used to verify data collected however often this is based on 2007 or older imagery.Linework is based on data captured from a variety of sources, some of which are not known.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Pastoral Stations - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/22ce4795-d3a9-432a-89a7-8fe53391d50d.

JavaGenes is a fairly general purpose evolutionary software system written in Java. It implements several versions of the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques. JavaGenes has been used to evolve molecules, atomic force field parameters, digital circuits, Earth Observing Satellite schedules, and antennas.

URL: https://geoscience.data.qld.gov.au/dataset/cr116217

EPM 25703, CONNORS ARC, PARTIAL RELINQUISHMENT REPORT FOR PERIOD ENDING 4/11/2019

Pathdroid is a framework to analyze binary Android applications for program defects and malicious behaviors. Pathdroid is based on the Java Pathfinder (JPF) verification system (http://babelfish.arc.nasa.gov/trac/jpf), and thus provides model checking capabilities for applications that are distributed as standard Android .dex or .apk files.

The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of land elevations. The radars used during the SRTM mission were actually developed and flown on two Endeavour missions in 1994. The C-band Spaceborne Imaging Radar and the X-Band Synthetic Aperture Radar (X-SAR) hardware were used on board the space shuttle in April and October 1994 to gather data about Earth's environment. The technology was modified for the SRTM mission to collect interferometric radar, which compared two radar images or signals taken at slightly different angles. This mission used single-pass interferometry, which acquired two signals at the same time by using two different radar antennas. An antenna located on board the space shuttle collected one data set and the other data set was collected by an antenna located at the end of a 60-meter mast that extended from the shuttle. Differences between the two signals allowed for the calculation of surface elevation. Endeavour orbited Earth 16 times each day during the 11-day mission, completing 176 orbits. SRTM successfully collected radar data over 80% of the Earth's land surface between 60° north and 56° south latitude with data points posted every 1 arc-second (approximately 30 meters). Two resolutions of finished grade SRTM data are available through EarthExplorer from the collection held in the USGS EROS archive: 1 arc-second (approximately 30-meter) high resolution elevation data offer worldwide coverage of void filled data at a resolution of 1 arc-second (30 meters) and provide open distribution of this high-resolution global data set. Some tiles may still contain voids. The SRTM 1 Arc-Second Global (30 meters) data set will be released in phases starting September 24, 2014. Users should check the coverage map in EarthExplorer to verify if their area of interest is available. 3 arc-second (approximately 90-meter) medium resolution elevation data are available for global coverage. The 3 arc-second data were resampled using cubic convolution interpolation for regions between 60° north and 56° south latitude. [Summary provided by the USGS.]

CODE is a software framework for control and observation in distributed environments. The basic functionality of the framework allows a user to observe a distributed set of resources, services, and applications. A user can also use the framework to manage distributed resources, services, and applications.

Mutil provides mcp and msum, which are drop-in replacements for cp and md5sum that utilize multiple types of parallelism to achieve maximum copy and checksum performance on clustered file systems.

Livingstone2 is a reusable artificial intelligence (AI) software system designed to assist spacecraft, life support systems, chemical plants or other complex systems in operating robustly with minimal human supervision, even in the face of hardware failures or unexpected events. Livingstone2 diagnoses the current state of the spacecraft or other system and recommends commands or repair actions that will allow the system to continue operations.

Data provided by the Historic Preservation Program, Arlington County, Va.

Shift is a lightweight framework for high performance local and remote file transfers that provides resiliency across a wide variety of failure scenarios through various techniques. These include end-to-end integrity via cryptographic hashes, throttling of transfers to prevent resource exhaustion, balancing transfers across resources based on load and availability, and parallelization of transfers across multiple source and destination hosts for increased redundancy and performance.

Save is a framework for implementing highly available network-accessible services. Save consists of a command-line utility and a small set of extensions for the existing Mon monitoring utility. Mon is a flexible command scheduler that has the ability to take various actions (called 'alerts') depending on the exit conditions of the periodic commands (called 'monitors') it executes. Save provides a set of monitors and alerts that execute within the Mon scheduler.

ECHO is a clearinghouse of Earth science Metadata under the EOS Program.

The Crisis Mapping Toolkit (CMT) is a collection of tools for processing geospatial data (images, satellite data, etc.) into cartographic products that improve understanding of large-scale crises, such as natural disasters. The cartographic products produced by CMT include flood inundation maps, maps of damaged or destroyed structures, forest fire maps, population density estimates, etc. CMT is designed to rapidly process large-scale data using Google Earth Engine and other geospatial data systems.

The Execution Service allows users to submit, monitor, and cancel complex jobs. Each job consists of a set of tasks that perform actions such as executing applications and managing data. Each task is executed based on a starting condition that is an expression on the states of other tasks. This formulation allows tasks to be executed in parallel and also allows a user to specify tasks to execute when other tasks succeed, fail or are cancelled.

Mariana is an algorithm that efficiently optimizes the hyperparameters for Support Vector Machines for regression and classification.

Libibvpp is a C++ wrapper around libibverbs, which is part of the OpenFabrics software suite (www.openfabrics.org).

IND is applicable to most data sets consisting of independent instances, each described by a fixed length vector of attribute values. An attribute value may be a number, one of a set of attribute specific symbols, or omitted. One of the attributes is delegated the 'target' and IND grows trees to predict the target. Prediction can then be done on new data or the decision tree printed out for inspection.

Surfer is an extensible framework designed to select and rank grid resources where a resource is defined to be anything that may need selecting such as compute resources, storage resources, data resources, etc.

Swim is a software information service for the grid built on top of Pour, which is an information service framework developed at NASA. Swim provides true software resource discovery integrated with the tools used by administrators to install software.