Repository: https://isda.ncsa.illinois.edu/svn/nara/trunk/3DUtilities
Documentation: Web | PDF
License: NCSA Open Source
Status: Supported

The 3D Utilities are a Java library and set of tools built on top of OpenGL to load, save, view, manipulate, and compare 3D file content from a variety of formats. Including supported formats from NCSA Portfolio, the 3D Utilities contains loaders for 3DS, AC, BYU, COB, DAE, DXF, FACET, GEO, GTS, IOB, JVX, KMZ, LWS, MS3D, NFF, OBJ, OFF, PHD, PLG, PLY, POLY, Q3O, RAW, SDML, STP, STL, TET, TM, TRI, VTK, WRL, X, and X3D. Data loaded from the 3D files are returned in a simple Mesh data structure containing the models vertices and faces.

Repository: https://opensource.ncsa.illinois.edu/stash/projects/CATS
Documentation: Web
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Clowder is a web-based content repository for structured and unstructured data providing a platform for automatic metadata extraction, automatic data previews, distributed/heterogeneous data sources, social curation, and provenance. Clowder addresses the problem of data preservation in a world with growing amounts of digital data, much of which is not properly curated.

CSR

URL: http://isda.ncsa.illinois.edu/NARA/CSR
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Supported

The Conversion Software Registry (CSR) is a registry of software indexed according to the file formats they are capable of opening and saving. The CSR complements file format registries (such as PRONOM and GDFR) and addresses a need to identify software capable of carrying out specific data conversions without having to obtain the software first.

Project Page: https://opensource.ncsa.illinois.edu/projects/CBI
Repository: https://opensource.ncsa.illinois.edu/stash/scm/cbi/cyberintegrator-3.git
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Archived

This project is replaced by http://opensource.ncsa.illinois.edu/projects/WOLF

CyberIntegrator is an exploratory workflow system emphasizing distributed execution of arbitrary software, data reproducibility, and ease of use. CyberIntegrator addresses the problem of analytical reproducibility in an era where nearly all research/practice involves software and digital data, and where both software and digital data can change over time thus preventing the reproduction of results. The projects using Cyberintegrator have developed interactive Web applications with easy-to-use interfaces supported by sophisticated back-end analyses and models for specific science, industry, and policy domains.

Repository: https://opensource.ncsa.illinois.edu/stash/scm/dfdl/daffodil.git
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Daffodil is an implementation of the Data Format Description Language (DFDL, http://www.ogf.org/documents/GFD.174.pdf) allowing for the creation and archival of computer readable file format specifications. Once a DFDL specification is created Daffodil would allow new software to incorporate support for loading and saving content to that file type. In terms of digital preservation DFDL offers a potential means of archiving, in an accessible and reusable manner, the specification needed to read a format so that future data might not suffer the fate of legacy data where the software to load that files contents no longer exists and the data, though in existence, can no longer be interpreted.

Project Page: Data Wolf
Documentation: Manual | PDF | Javadoc
Downloads: Artifacts
Source Code: GIT Repository
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Repository: https://opensource.ncsa.illinois.edu/stash/scm/vs/doc2learn.git
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Supported

Doc2Learn provides functionality to do side-by-side visual comparisons of documents to quickly explore their contents in terms of word frequency (text, integers and floating point numbers), image color histograms (frequency of colors in an image), and frequency of encoded vector graphics. It can also perform automated grouping of documents based on a similarity of all components in the documents. The pair-wise similarities can be displayed and interacted with to investigate different parameters for grouping documents. Once grouping parameters were selected, the software enables manual re-shuffling of documents among groups, as well as re-ordering the documents within a group. The order of documents within a group is automatically established based on file time stamps. Finally, several attributes of documents in each group are extracted and displayed according to their temporal order. The attributes are evaluated using a few rules in order to perform integrity checks of a set of related documents in a group.

Repository: https://opensource.ncsa.illinois.edu/stash/projects/ERGO
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

NCSA and the Mid-America Earthquake Center developed MAEviz, now Ergo, to provide detailed predictions of the damage resulting from an earthquake, including the toll on people, infrastructure, and services. With Ergo, “what if” models and risk-reduction strategies can be evaluated by both researchers and decision makers in an effort to avoid a catastrophic impact on society in the event of an earthquake. Ergo integrates the latest research findings, most accurate data, and new methodologies into a single software product.

Repository: CVS (contact kooper@illinois.edu)
License: NCSA Open Source
Status: Archived

GeoLearn is designed to enable rapid processing of large size satellite remote sensing data available in HDF EOS format. It has been tested primarily with MODIS land-surface data products. Use and analysis of these datasets are at the heart of a variety of scientific investigations pertaining to the study of the interaction between land-surface and climate, and prediction of terrestrial hydrologic processes.

Repository: https://opensource.ncsa.illinois.edu/stash/scm/image/im2learn.git
Documentation: PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Supported

The Im2Learn (Image to Learn) suite of tools is designed to address the gap between complex multi-instrument raw data and knowledge. Im2Learn automates repetitive analysis tasks and builds user-friendly decision-making systems for a variety of applications, including machine vision, precision farming, land use and land cover classification, map analysis, geo-spatial information systems (GIS), synthetic aperture radar (SAR) target and multi-spectral scene modeling, video surveillance, bioinformatics, microscopy and medical image processing, and advanced sensor environments.

Project Page: Polyglot
Documentation: Manual | PDF | Javadoc
Downloads: Artifacts
Source Code: GIT Repository
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Utilizing a tool called a Software Server to program against functionality within arbitrary 3rd party software, Polyglot is a distributed service which carries out file format conversions utilizing the open, save, import, and export capabilities amongst a dynamic and extensible collection of available software. Polyglot addresses the need to access content amongst the many possible formats available to store data digitally. Polyglot also addresses the problem of information loss that inevitably occurs through conversion and provides means of quantifying that loss and then minimizing it during future conversions.

Repository: https://opensource.ncsa.illinois.edu/stash/scm/pol/polyglot.git
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Software Servers re-introduce an API on compiled software so that it can once again be called within new code. The current implementation uses a RESTful interface as the API, allowing any programming/scripting language that supports accessing URLs to access the functionality.

Repository: https://opensource.ncsa.illinois.edu/stash/scm/vs/
Documentation: Web | PDF
Bug Reporting: Jira
License: NCSA Open Source
Status: Active

Versus is a framework which decomposes digital content based comparisons into reusable components of adapters which load data, extractors which extract semantically meaningful features within the data, descriptors which represent the data contents, measures which compare two descriptors to obtain a numerical difference, and indexers which organize a set of content descriptors according to some measure for efficient retrieval. Versus addresses a need to compare digital content amongst unstructured data (e.g. raw sensor data) and search collections for similar data.

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