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", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16025-1A", "sti_keywords_passed_thresholds": [ "nlp:computation", "nlp:three dimensional flow", "nlp:computational grid", "nlp:computer graphic", "nlp:software development tool", "nlp:multigrid method", "nlp:computational geometry", "nlp:scientific visualization", "nlp:computational fluid dynamic", "nlp:grid generation (mathematics)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_10PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-16050-1A", "name": "Man-Machine Integration Design and Analysis System, (MIDAS) Version 5", "tags": [ "NASA", "ARC", "U.S. and Foreign Release", "Crew and Life Support" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "d9f51a6f-b898-4c2f-9708-0310fe4d7541", "description": "MIDAS is a 3D rapid-prototyping human-performance modeling environment that facilitates the design, visualization, and computational evaluation of complex man-machine system concepts in simulated operational environments. The tool links a virtual human to a computational cognitive structure that represents human capabilities and limitations. MIDAS operates on a Microsoft Windows-based PC platform. An easy-to-use graphical user interface makes the software an accessible tool for designers; no expertise in computer science, programming, or human performance modeling is required.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16050-1A", "sti_keywords_passed_thresholds": [ "nlp:graphical user interface", "nlp:hydroelectricity", "nlp:computer aided design", "nlp:computer systems design", "nlp:systems engineering", "nlp:man machine system", "nlp:personal computer", "nlp:human-computer interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_10PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-15658-1", "name": "Virtual Airspace Simulation Technology, Real Time (VAST-RT), Capability Two", "tags": [ "NASA", "ARC", "U.S. and Foreign Release", "Aeronautics" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "458af58b-6915-42ce-b15a-076d24771f48", "description": "Designed to assess advanced automation concepts and procedures being considered for the next-generation air traffic management system, VAST-RT offers real-time simulations across all air traffic control domains. 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The software enables visualization of current-day airspace elements; graphical creation of new elements; and runway-to-runway agent-based simulation and analysis of air traffic concepts.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16433-1", "sti_keywords_passed_thresholds": [ "nlp:air traffic control", "nlp:computerized simulation", "nlp:systems simulation", "nlp:finite element method", "nlp:computer graphic", "nlp:simulation", "nlp:software development tool", "nlp:traffic", "nlp:scientific visualization", "nlp:grid generation (mathematics)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_11PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-15262-1B", "name": "NEQAIR v14.x, Nonequilibrium Radiative Transport and Spectra Program", "tags": [ "NASA", "ARC", "U.S. and Foreign Release", "Design and Integration Tools" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-12-11" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "eb2c6c7b-6074-4cdf-9e7f-679f77bd1a17", "description": "NEQAIR is a line-by-line radiation code that computes spontaneous emission, absorption and stimulated emission due to transitions between various energy states of chemical species along a line-of-sight. \r\nNEQAIR v14.0 is a complex code that enables the calculation of: (1) Nonequlibrium or equilibrium populations of excited energy levels for atomic and diatomic molecules, (2) Optical radiation emitted and absorbed by atomic and diatomic rotational lines along a line-of-sight or across a shock tube, (3)Transport of optical radiation through a non uniform gas mixture to a solid surface and (4) Detailed spectra at points along a line-of-sight and at a surface and plots them.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-15262-1B", "sti_keywords_passed_thresholds": [ "nlp:electron transition", "nlp:spontaneous emission", "nlp:molecular rotation", "nlp:molecular energy level", "nlp:emission spectra", "nlp:line spectra", "nlp:molecular spectra", "nlp:gas mixture", "nlp:light emission", "nlp:molecular gas" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_11PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-16197-1A", "name": "Terrestrial Observation and Prediction System (TOPS) Biogeochemical cycle (BGC) model", "tags": [ "NASA", "ARC", "U.S. and Foreign Release", "Environmental Science (Earth, Air, Space, Exoplanet)" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-19" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "76297701-fea8-4e97-b2e2-039a53cb27de", "description": "The Terrestrial Observation and Prediction System (TOPS) is a modeling software that integrates data from satellites, weather stations, climate models with ecosystem models to produce nowcasts and forecasts of ecological conditions. 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", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16197-1A", "sti_keywords_passed_thresholds": [ "nlp:leaf", "nlp:agriculture", "nlp:biomas", "nlp:ecosystem", "nlp:vegetation growth", "nlp:photosynthesi", "nlp:farm crop", "nlp:grassland", "nlp:plants (botany)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_11PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-14407-1", "name": "Low-Order Potential Flow Panel Code (PMARC), Version 14", "tags": [ "NASA", "ARC", "U.S. and Foreign Release", "Design and Integration Tools" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "21d07c79-64ca-4cd4-a4cb-a648e4443f39", "description": "PMARC is a three-dimensional panel code to solve potential flow around wings and bodies. 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The code supports implicit boundary conditions, generalized multi-block topologies, grid alignment to flow features, and generalized chemical kinetics and thermodynamic property databases.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16021-1A", "sti_keywords_passed_thresholds": [ "nlp:reacting flow", "nlp:three dimensional flow", "nlp:alignment", "nlp:computational grid", "nlp:grid generation (mathematics)", "nlp:finite volume method", "nlp:software development tool", "nlp:topology", "nlp:computational fluid dynamic", "nlp:data base" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_11PM" }, { "repositoryURL": "https://software.nasa.gov/software/ARC-15117-1A", "name": "Pegasus 5.2: Software For Automated Pre-Processing of Overset CFD Grids", "tags": [ "NASA", "ARC", "U.S. Release Only", "Aeronautics" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-06-08" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "73d8ddc9-2a90-4449-8447-0f8a2ecc0c83", "description": "The Pegasus software is used as a pre-processor for overset-grid Computational Fluid Dynamics (CFD) simulations. 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PATO also uses the open source (GNU LGPL) thermodynamics, transport, and chemistry library Mutation++ produced by the von Karman Institute for Fluid Dynamics.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-16680-1", "sti_keywords_passed_thresholds": [ "nlp:thermodynamic property", "nlp:mass transfer", "nlp:pyrolysi", "nlp:vaporizing", "nlp:morphology", "nlp:surface reaction", "nlp:combustion chemistry", "nlp:transport property", "nlp:heat transfer", "nlp:combustion" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_12PM" }, { "repositoryURL": "https://software.nasa.gov/software/DRC-010-044", "name": "Half-Cycle Crack Growth", "tags": [ "NASA", "DFRC", "General Public Release", "Structures and Mechanisms" ], "contact": { "email": "afrc-ipo-softwarecatalogue@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "DFRC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "8bcef816-6e7c-474d-8479-83703df1d100", "description": "This NASA-developed software program predicts the operational flight life of critical aero-structural components. The tool offers a reliable method for calculating theoretical fatigue crack growths that could lead to catastrophic structural component failures. The program builds upon and integrates Armstrong's proven half-cycle and closed-form aging theories and is especially accurate because it considers every half-cycle of loading spectra for specific structural components. The program works by reading test data files and determining maximum and minimum loads of each half-cycle of random loading spectra in order to calculate theoretical crack growth. The innovation is an improvement on traditional prediction software (and in particular on visual inspections) because it considers mini-amplitude stress loading and half-cycles based on the duty cycle of a particular component or structure.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/DRC-010-044", "sti_keywords_passed_thresholds": [ "nlp:stress", "nlp:failure", "nlp:loads (forces)", "nlp:fatigue (biology)", "nlp:model" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_12PM" }, { "repositoryURL": "https://software.nasa.gov/software/DRC-014-004", "name": "Quad channel Transport Class Model Simulation (Quad TCM)", "tags": [ "NASA", "DFRC", "General Public Release", "Aeronautics" ], "contact": { "email": "afrc-ipo-softwarecatalogue@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-03-14" }, "organization": "DFRC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "1cfafbc8-40a2-4c0d-ab56-758c75043032", "description": "The Quad TCM is a non-proprietary, non-sensitive aircraft Simulink () model derived from Langley Research Center's Transport Class Model (TCM). The Quad TCM is a flight control system (FCS) oriented simulation with multi-channel (FCS) components, including flight control computers (FCCs), sensors, actuators, and interconnect. The models for the components are the original TCM components with modifications to account for the multichannel nature, to allow for replacement with like components, and to enable test and evaluation. 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Using predefined criteria (rules), CAT will ingest messages in real-time, analyze the content and context, and determine if the predefined criteria has been met. If so, an associated set of predefined actions is automatically triggered. Pre-defined actions can also be disabled. A decision-making, action-triggering component, such as CAT, can contribute to system-wide situational awareness, provide system-wide process orchestration, and enable system automation.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17185-1", "sti_keywords_passed_thresholds": [ "nlp:decision theory", "nlp:message processing", "nlp:decision making", "nlp:real time operation", "nlp:cybernetic", "nlp:knowledge based system", "nlp:expert system", "nlp:automation", "nlp:decision support system", "nlp:automatic control" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17234-1", "name": "Goddard Mission Services Evolution Center (GMSEC) Reusable Events Analysis Toolkit (GREAT) Version 3.0", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Operations" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "aa767e0d-4c05-4b6c-aefc-77f514de97a6", "description": "GREAT is a toolkit for event/log messages, supporting single and multiple satellite systems. It provides real-time message display and message archive & retrieval. 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Using call chains and call trees, ANSR supports call acknowledgement and call escalation allowing for multiple contingencies. As a central point of alarm configuration, notification, and reporting, it also provides a graphical configuration tool, a console-based monitoring tool, and a web-based log viewer.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17233-1", "sti_keywords_passed_thresholds": [ "nlp:trees (mathematics)", "nlp:distributed processing", "nlp:markov chain", "nlp:warning system", "nlp:interactive control", "nlp:electronic mail", "nlp:on-line system", "nlp:world wide web", "nlp:configuration management", "nlp:graphs (charts)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17081-1", "name": "Interface Between STAR-CCM+ and 42 for Enhanced Fuel Slosh Analysis", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Design and Integration Tools" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "607995ee-8088-47e3-b911-37d1a4e1f937", "description": "STAR-CCM+, a commercially available computational fluid dynamics (CFD) code, is linked with this software tool to 42, a user -friendly NASA in-house flight simulation program, to enable the modeling of fuel slosh as a part of the 42 flight simulation.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17081-1", "sti_keywords_passed_thresholds": [ "nlp:dynamic structural analysi", "nlp:user manuals (computer programs)", "nlp:computerized simulation", "nlp:systems simulation", "nlp:simulation", "nlp:software development tool", "nlp:control simulation", "nlp:flight simulation", "nlp:flight control", "nlp:computational fluid dynamic" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17484-1", "name": "Delta-V Along Line of Sight (DVALOS) Software", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Propulsion" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "6e206328-5065-4ca9-9ec6-7330f75245ee", "description": "The Delta-V Along Line of Sight (DVALOS) Software provides a capability to calculate an expected radial delta-V as seen from a supporting Deep Space Network (DSN) tracking station based on a planned maneuver for a DSN tracked spacecraft. DVALOS may then be used post maneuver to compare observed versus expected delta-V in order to discern maneuver burn performance.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17484-1", "sti_keywords_passed_thresholds": [ "nlp:deep space network", "nlp:spacecraft tracking", "nlp:spacecraft performance", "nlp:spacecraft control", "nlp:satellite tracking", "nlp:satellite network", "nlp:space navigation", "nlp:tracking (position)", "nlp:orbital maneuver", "nlp:spacecraft maneuver" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-16822-1", "name": "GMSEC Remote Application Service Provider (GRASP) 2.0", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "6df94fa1-532c-41cf-a565-6d80520bbe3a", "description": "This entirely new software utility facilitates the secure transmission of GMSEC messages from a secure environment to a less secure environment and makes these messages available to web applications operating in the less secure environment via a generic, language independent mechanism.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-16822-1", "sti_keywords_passed_thresholds": [ "nlp:message processing", "nlp:distributed processing", "nlp:programming language", "nlp:language", "nlp:data transmission", "nlp:software development tool", "nlp:programming environment", "nlp:high level language", "nlp:hardware description language", "nlp:world wide web" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-16783-1", "name": "Advanced Spacecraft Integration & System Test Software (ASIST) Version 20.0", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "edc1a1d9-b3f9-474e-8c3e-0a2a6c2d0b84", "description": "Since the early 1990's, a government/contractor team has developed a spacecraft ground system capable of being used for all phases of a spacecraft's life: for box-level development and testing, satellite integration and test, and post-launch mission operations. This system uses a single, industry-standard protocol, to ease integration with other products, and uses both COTS, GOTS and public domain software to form a single, cohesive system. It is composed of several parts:\r\n\r\nThe Advanced System for Integration and Spacecraft Testing (ASIST) is the user-interface, providing user with the ability to view and analyze telemetry, send commands, and automate tests. The Front End Data System reads telemetry from spacecrafts, distributing requested data packets to subscribing clients; additionally, it controls the forward (command) link to the spacecraft, formatting command packets so that the spacecraft can read them and verifying that commands are transferred correctly. The Digital History Data Store (DHDS) archives the raw telemetry received from the spacecraft and distributes historical telemetry data to clients.\r\n\r\nThis system can be configured in a number of ways. For small labs, a single ASIST workstation may be used, while in I&T or mission operations, the configuration may include up to 31 ASIST workstations. All configurations provide the user with the same standard interface to their flight hardware.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-16783-1", "sti_keywords_passed_thresholds": [ "nlp:systems integration", "nlp:data system", "nlp:electronic equipment", "nlp:protocol (computers)", "nlp:airborne/spaceborne computer", "nlp:mission planning", "nlp:onboard data processing", "nlp:telemetry", "nlp:workstation" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-16168-1", "name": "GMSEC API Performance Testing Utility v3.0", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Operations" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "5fd9d614-d887-4319-ad39-8923f39b446e", "description": "Statistical performance testing tool used to test and measure the GMSEC middleware systems by recreatihng test scenarios under various configurations. The benchmarks run simulations at increasing loads, measuring the performance in terms of message transmission delay. The results can be visually inspected in Microsoft Excel graphs, or raw numerical data. The utility features the ability to compare performance of middleware based systems against raw TCP socket to socket communications, providing a better perspective on the relative worths of the GMSEC compliant middleware systems.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-16168-1", "sti_keywords_passed_thresholds": [ "nlp:message processing", "nlp:distributed processing", "nlp:computerized simulation", "nlp:interprocessor communication", "nlp:graph theory", "nlp:simulation", "nlp:data transmission", "nlp:loads (forces)", "nlp:system effectivenes", "nlp:performance test" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17483-1", "name": "Goddard Mission Service Evolution Center (GMSEC) System Agent 3.1", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Operations" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "e1cc618d-0c31-4b51-9ac0-99a8161f01f2", "description": "The GMSEC SystemAgent is a GMSEC-compliant software component that provides health information about the computer hosting the agent to other GMSEC components utilizing a middleware-based architecture. It also provides the capability for executing command(s) received from a GMSEC Directive message(s) as well as the capability for monitoring specified log files.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17483-1", "sti_keywords_passed_thresholds": [ "nlp:distributed processing", "nlp:information system", "nlp:computerized simulation", "nlp:information theory", "nlp:computer systems design", "nlp:artificial intelligence", "nlp:software development tool", "nlp:architecture (computers)", "nlp:file maintenance (computers)", "nlp:information management" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17186-1", "name": "Goddard Mission Services Evolution Center (GMSEC) CountdownClock (CC) 2.0", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "1cff0673-f7c8-4283-91ee-688defc66158", "description": "Adaptation of the original 2-D CountdownClock, that internally treats countdown records uniformly. Displays in two modes: alternating record (like the original), and multi-record. Allows dynamic configuration of a number of features, including font size. Capable of reading WOTIS files, but can also read TRMM TDX-PLAN files and can readily add compatible file formats through the use of Java interface implementations.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17186-1", "sti_keywords_passed_thresholds": [ "nlp:dynamic structural analysi", "nlp:data base management system", "nlp:configuration management", "nlp:human-computer interface", "nlp:display device", "nlp:computer graphic", "nlp:interface", "nlp:file maintenance (computers)", "nlp:graphical user interface", "nlp:graphs (charts)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17417-1", "name": "GMSEC Architecture Application Programming Interface (API) [Software Release Version 3.7]", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-07-18" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "628681b7-64ec-462d-a9f6-c8f6a7e4cda8", "description": "The GMSEC architecture is a comprehensive flight and ground system architecture that spans the full mission lifecycle. Software components use the GMSEC Architecture API to connect to a middleware software messaging bus that in turn is responsible for message routing and delivery. The innovation of the GMSEC Architecture API is the isolation of the middleware from the components, and the normalization of the middleware behavior. This provides an isolation layer and prevents vendor lock-in. \r\n\r\nThis software release contains major enhancements to previous releases of the GMSEC API, including greater reliability and enhanced usability. For example, this release includes a new feature which allows users to determine quickly and easily if their current operations environment has been correctly configured to use GMSEC.\"\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17417-1", "sti_keywords_passed_thresholds": [ "nlp:airborne/spaceborne computer", "nlp:message processing", "nlp:mission planning", "nlp:computer systems design", "nlp:software development tool", "nlp:programming environment", "nlp:architecture (computers)", "nlp:flight control", "nlp:reliability analysi", "nlp:reliability" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_26PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17288-1", "name": "TestEVAL is a python software tool to assist in mechanical testing", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Data and Image Processing" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "bb68e4d8-cc0d-479f-9f0d-8c3edeb16d57", "description": "TestEVAL was generated to provide a tool for processing and plotting mechanical test data. This tool is used for both handling pre-test planning and post test processing. The tool provides plotting capability for different data formats, including Nastran xyplot punch files, Excel files, CSV files, Matlab files, and network communication via pipes. The data can plotted in linear, log or semi-log scales. 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Automated and remote interrogation scripts provide configuration information in the form of \"as-built\" reports. 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This informal approach uses a Metrologic/Honeywell Scanpal2 Bar Code Scanner along with Microsoft Excel macros that take the scanner output data and updates an organization's database derived from NASA's N-PROP property management on-line database.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17055-1", "sti_keywords_passed_thresholds": [ "nlp:data management", "nlp:organization", "nlp:on-line system", "nlp:symbol", "nlp:data base", "nlp:data base management system" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_32PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-17110-1", "name": "Engineering Status Reporting Tool (ESRT)", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Business Systems and Project Management" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "743cbaab-69c3-43c9-a265-03e568f2db19", "description": "The purpose of this tool is to provide a common system across the Code 500 Directorate for reporting and tracking engineering issues/concerns. 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The models allow the ISIM flight software to be executed within a COTS emulator product, Wind River Simics. This technology was primarily developed under the NASA IV&V Chief Engineer Support contract with contributions from the 2013 GSFC Software Simulations for Spacecraft Development IRAD (HK model and verification work) to support JWST IV&V work. 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Finally, the GOES-R Flight Software contains a non-flight, Self Test Software (SELTS) component that allows for closed loop execution of the Flight Software during Integration and Test activities on the GOES-R Spacecraft. 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", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-17145-1", "sti_keywords_passed_thresholds": [ "nlp:systems integration", "nlp:evaluation", "nlp:automatic test equipment", "nlp:electronic equipment test", "nlp:simulator", "nlp:computer program integrity", "nlp:program verification (computers)", "nlp:proving", "nlp:automation", "nlp:performance test" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_33PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-16918-1", "name": "SpF: A Software Framework for Pseudospectral Numerical Simulation at Extreme Scales", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Data Servers Processing and Handling" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "1bbc45ca-bb8d-4b88-88b4-1e2cd0a76a22", "description": "Applications based upon pseudospectral algorithms share many characteristics and present common challenges to developers pushing the limits of high performance computing. Each investigation team generally tackles these challenges independently and reach various plateaus of performance that are well below those that are theoretically and demonstrably achievable. At the same time, pseudospectral algorithms have many unique characteristics that limit the applicability/efficacy of many software frameworks used by the high performance computing community. Such characteristics include \"transposes\" - large redistributions of data across an entire computing platform, nontrivial computational domains (e.g. spherical harmonic modes), little-or-no nearest-neighbor communication, and high computational intensity (DGEMM, FFT, etc). The goals of SpF (Spectral Framework) are to (1) reduce complexity and duplication of effort across multiple investigation teams, (2) achieve near optimal scalability on existing computing architectures (10\"4-10\"5 cores), (3) provide automation for domain decomposition and load balancing that circumvent hardwired constraints in existing applications, (4) provide automated and optimized global data \"transpososes\" that dominate compute time for large problems, (5) provide access to optimized numerical libraries including libraries implemented on hardware accelerators, and (6) provide a flexible/optimized input/output layer.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/GSC-16918-1", "sti_keywords_passed_thresholds": [ "nlp:distributed processing", "nlp:response time (computers)", "nlp:massively parallel processor", "nlp:software development tool", "nlp:loads (forces)", "nlp:complexity", "nlp:architecture (computers)", "nlp:algorithm", "nlp:data processing", "nlp:parallel processing (computers)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_01_33PM" }, { "repositoryURL": "https://software.nasa.gov/software/GSC-16741-1", "name": "JWST IV&V Simulation and Test (JIST) Solid State Recorder (SSR) Simulator", "tags": [ "NASA", "GSFC", "U.S. Government Purpose Release", "Design and Integration Tools" ], "contact": { "email": "gsfc-softwarerequest@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-05" }, "organization": "GSFC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "bb02f3ad-baad-4241-8419-e686a3381613", "description": "The James Webb Space Telescope (JWST) IV&V Simulation and Test (JIST) Solid State Recorder (SSR) Simulator is a component of the JIST system and is responsible for simulating basic SSR functionality. 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Input is saved as XML data files, and output is provided by the state-machine implementation code in C, C++, Python, or Promela. A test suite validates output products, and a test harness allows a developer to execute and animate a model with a graphical state-machine monitor. 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Because policy statements can be domain independent this software can equally be applied to a vast variety of different applications. We developed a process for automating the process of executing natural language enterprise policies. To support this process, a user interface needed to be built to allow users to initialize and monitor the process. 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This effort will culminate with the system-level radiation test of complete ISAAC technology that matures it to TRL 6. 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Unfortunately, due to the nature of digital imaging hardware, the captured image is a degraded representation of the actual object or phenomenon of interest. This software coded in MATLAB, a widely used analysis software package, that takes as input any image of an object or phenomenon of scientific interest, along with two reference images generated by the same digital imaging hardware, applies corrections for the three most prominent sources of image degradation, and outputs a corrected image of the object or phenomenon. 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Based on standards developed by NASA for the Orion spacecraft, it simulates various phases of flight and various malfunction situations to help users understand operating a spacecraft exclusively through computer screens instead of a large number of physical switches, gauges, and other controls.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25185-1", "sti_keywords_passed_thresholds": [ "nlp:spacecraft control", "nlp:airborne/spaceborne computer", "nlp:glas", "nlp:cockpit", "nlp:man machine system", "nlp:standard", "nlp:interface", "nlp:flight control", "nlp:human-computer interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_01PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24873-1", "name": "Gaseous Nitrogen (GN2) Orifice Mass-Flow Calculator", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Propulsion" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "f254bf28-9bf1-454d-a5e4-e00f9c01d05f", "description": "This calculator has been used to determine GN2 high-pressure tank-source depletion rates for the Space Shuttle Orbiter Water Spray Boiler (WSB), and it has also been used to gauge the ability of GN2 consumables to support APU lubrication cooling during entry.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24873-1", "sti_keywords_passed_thresholds": [ "nlp:liquid cooling", "nlp:pressure effect", "nlp:cooling", "nlp:spray characteristic", "nlp:high pressure", "nlp:sprayer", "nlp:gas pressure", "nlp:space shuttle", "nlp:storage tank", "nlp:water" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_01PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25673-1", "name": "Configurable Real-Time Analysis System (CRANS) Software Program, Version 7", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Data and Image Processing" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "3624f2fb-ed11-434b-ac60-aff493bda0d7", "description": "CRANS provides status of an avionics system utilizing an expert system for standard failure and correction options for potential failures. 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POSLOGIN has been developed to ensure that processes remain in place and continue to be executed during shift changes.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25483-1", "sti_keywords_passed_thresholds": [ "nlp:process control (industry)", "nlp:spacecraft control", "nlp:flight control", "nlp:space flight", "nlp:mission planning", "nlp:clock", "nlp:controller", "nlp:space station", "nlp:ground based control", "nlp:control systems design" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_01PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25252-1", "name": "Space Shuttle Ascent/Entry Trainer (AET), Version 5", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "0c384658-cd61-4b68-a649-8f6adb22d3aa", "description": "Version 5 of the Space Shuttle Ascent/Entry Trainer (AET) is a simulation software package that models NASA's Space Shuttle in both ascent and entry scenarios in order to train astronauts. Functionally, the AET handles operator inputs to the hand controllers and to virtual switches on the computer monitor, and it provides feedback to the operator via the computer monitor in the form of simulated out-the-window graphics and emulated display and control panels.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25252-1", "sti_keywords_passed_thresholds": [ "nlp:telerobotic", "nlp:computerized simulation", "nlp:computer graphic", "nlp:simulation", "nlp:manual control", "nlp:operator performance", "nlp:display device", "nlp:robot control", "nlp:control systems design", "nlp:space shuttle" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_01PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25615-1", "name": "Orion Guidance, Navigation & Control Flight Software", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "9cb2ce87-4784-46c0-a6df-5affd9b4225b", "description": "The Orion Crew Exploration Vehicle's onboard Guidance, Navigation & Control (GN&C) flight software has been developed to a class-A, human-spaceflight-ready standard. The technology uses a MATLAB/Simulink tool suite to embrace a model-based development approach.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25615-1", "sti_keywords_passed_thresholds": [ "nlp:space flight", "nlp:navigation", "nlp:flight control", "nlp:spacecraft control", "nlp:guidance (motion)", "nlp:spacecraft design", "nlp:manned space flight", "nlp:space navigation", "nlp:spacecrew", "nlp:spacecraft guidance" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24763-1", "name": "Visiting Vehicle Ground Trajectory Tool", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release ", "Operations" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "6d9bab20-5eb7-4d11-b74a-af1d460f8d9f", "description": "This targeting tool provided the ability to perform planning and real-time operations for the visiting International Space Station (ISS) vehicle group.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24763-1", "sti_keywords_passed_thresholds": [ "nlp:group theory", "nlp:real time operation", "nlp:mission planning", "nlp:management planning", "nlp:time dependence", "nlp:trajectory planning", "nlp:space station", "nlp:manned spacecraft", "nlp:planning" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24614-1", "name": "Semantic Text Mining and Annotation for Information Extraction and Trend Analysis Tool (STAT)", "tags": [ "NASA", "JSC", "U.S. Release Only", "Data Servers Processing and Handling" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "033ad04e-aae1-4762-9536-e86af2b23caa", "description": "The Semantic Trend Analysis Tool uses linguistic analysis software and an ontology to extract new dimensions in data records that contain natural language text fields. Text fields in problem report data records (e.g., discrepancy reports, problem reports, corrective-action reports, and software change reports) might contain information that is critical to finding trends and groupings of recurring problems. STAT overcomes problems with scoping by linking up meaningful phrases that could be separated by text (e.g., \"not aligned\" versus \"not completely aligned\"). STAT's use of hierarchical ontologies overcomes the limitations of data codes, which are flat, closed, and have small sets of values that are often difficult to interpret. The ontology organizes aerospace terminology in hierarchies of types of problems, properties, objects, and functions. The tool identifies and tags types of problems and equipment mentioned in text fields, thereby providing new data files for record keeping. These new data files support text mining and clustering, report generation, browsing, and search at various levels of abstraction.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24614-1", "sti_keywords_passed_thresholds": [ "nlp:computation", "nlp:data reduction", "nlp:object-oriented programming", "nlp:language", "nlp:programming language", "nlp:hierarchy", "nlp:data structure", "nlp:linguistic", "nlp:data processing", "nlp:file maintenance (computers)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-23445-1", "name": "DSMC Analysis Code (DAC) Software for Simulating Rarefied Gas Dynamic Environments", "tags": [ "NASA", "JSC", "U.S. Release Only", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "ff2551b3-5a9f-4660-a028-8ce7237e54f8", "description": "Innovators at NASA's Johnson Space Center have developed software that is an easy-to-use implementation of the Direct Simulation Monte Carlo (DSMC) method that can be applied to a broad base of low-density flow problems. Its built-in flexibility, automation, and intuitiveness, combined with the potential of its parallel processing capabilities, provides an easy-to-use, high-performance solution for analyzing rarefied flows.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-23445-1", "sti_keywords_passed_thresholds": [ "nlp:three dimensional flow", "nlp:computerized simulation", "nlp:systems simulation", "nlp:simulation", "nlp:software development tool", "nlp:automation", "nlp:computational fluid dynamic", "nlp:problem solving" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24582-1", "name": "Micrometeoroid and Orbital Debris (MMOD) Shield Ballistic Limit Analysis Program", "tags": [ "NASA", "JSC", "U.S. Release Only", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "dd413244-63bd-4c58-8f47-62f369fa14c7", "description": "This technology evaluates proposed shield configurations for probability and depth of penetration if hit by orbital debris. The software enables a user to calculate preliminary dimensions of a shield configuration (thickness, density, and spacing) and then analyze the performance of the user-defined shield configuration over a range of relevant in-orbit impact conditions.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24582-1", "sti_keywords_passed_thresholds": [ "nlp:depth", "nlp:systems engineering", "nlp:man machine system", "nlp:protective clothing", "nlp:virtual reality", "nlp:performance test", "nlp:probability theory", "nlp:three dimensional model", "nlp:anthropometry", "nlp:human-computer interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25186-1", "name": "eProc Electronic Procedure System for Spacecraft Glass Cockpits (eProc System)", "tags": [ "NASA", "JSC", "U.S. Release Only", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "73c6983a-f9ad-4d81-89e9-a1f9f4d2fa28", "description": "Crew members have the ability to perform all display tasks manually or with electronic procedures. This electronic procedure system, referred to as eProc, is designed as a powerful alternative to reduce crew workload. eProc assists crew members by highlighting vehicle states on a display and cueing up appropriate displays, pop-ups, and commands. eProc is also linked to fault messages, so that crew members can quickly access procedures to any message that appears on the fault summary or log displays.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25186-1", "sti_keywords_passed_thresholds": [ "nlp:workloads (psychophysiology)", "nlp:mental performance", "nlp:man machine system", "nlp:task", "nlp:human factors engineering", "nlp:operator performance", "nlp:task complexity", "nlp:spacecrew", "nlp:display device", "nlp:flight crew" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/featuredsoftware/edge", "name": "Engineering DOUG Graphics for Exploration (EDGE)", "tags": [ "NASA", "JSC", "General Public Release", "Data Servers Processing and Handling" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "a27adda8-e217-4255-a63b-7e85d399d18d", "description": "EDGE is a real-time 3d graphics rendering package based on the Dynamic On-board Ubiquitous Graphics (DOUG) graphics engine. It combines key elements from graphics software tools developed for Space Shuttle and International Space Station (ISS) programs and adapts them for integration with other engineering simulations and facilities. The tool allows drop-in integration with the NASA Trick Simulation Environment and provides a fusion of 3D graphics and simulation outputs.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24663-1", "sti_keywords_passed_thresholds": [ "nlp:systems integration", "nlp:real time operation", "nlp:computerized simulation", "nlp:systems simulation", "nlp:finite element method", "nlp:computer graphic", "nlp:computer aided design", "nlp:software development tool", "nlp:programming environment", "nlp:flight simulation" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25492-1", "name": "Tools for Security Planning and Assessment of Risk (TSPAR)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Business Systems and Project Management" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "2532ee85-e694-4bf8-ad2e-5d62c4fc9597", "description": "The TSPAR software tool provides computer security officials the functionality to create, review, and analyze IT security risk assessment matrices and risk configuration documents.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25492-1", "sti_keywords_passed_thresholds": [ "nlp:numerical control", "nlp:risk", "nlp:matrices (mathematics)", "nlp:warning system", "nlp:security", "nlp:computer program integrity", "nlp:software development tool", "nlp:matrix theory", "nlp:computer information security", "nlp:configuration management" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24014-1", "name": "Decelerator System Simulation (DSS)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Aeronautics" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-24" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "98c99ff1-3bf1-4015-96b5-1ab8acb208b9", "description": "Decelerator System Simulation (DSS) is a FORTRAN software tool used to predict the motion of a vehicle coupled to a parachute. Separate equations of motion for the parachute and vehicle are employed. DSS was modified from an existing NASA software program for the Space Shuttle solid rocket booster (SRB) recovery system simulation. Martin Marietta Corp. developed the program, called UD233A, for the NASA Marshall Space Flight Center. DSS was used to study performance of parachute descent of flight test vehicle versions of the NASA Orion space craft. DSS incorporates 6 degrees of translational and rotational motion for both the vehicle and attached parachute, It models the deployment and inflation of the parachute system. DSS has separate aerodynamic and mass properties for both the vehicle and parachute.\r\nDSS is an in-house analysis tool. As such there is little documentation on the modifications made to UD233A to create DSS.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24014-1", "sti_keywords_passed_thresholds": [ "nlp:dynamic characteristic", "nlp:computerized simulation", "nlp:simulation", "nlp:performance prediction", "nlp:flight simulation", "nlp:flight control", "nlp:equations of motion", "nlp:space shuttle" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_02PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25457-1", "name": "Orbital Debris Engineering Model (ORDEM), Version 3", "tags": [ "NASA", "JSC", "General Public Release", "Environmental Science (Earth, Air, Space, Exoplanet)" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "db5e66bb-219f-425d-a608-75e1866eaddb", "description": "ORDEM offers flux as a function of debris size and year. The technology can be operated in spacecraft mode or telescope mode. An upgraded user interface uses project-oriented organization and provides graphical representations of numerous output data products.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25457-1", "sti_keywords_passed_thresholds": [ "nlp:spaceborne telescope", "nlp:spacecraft instrument", "nlp:flux (rate)", "nlp:spacecraft", "nlp:onboard data processing", "nlp:measuring instrument", "nlp:space debri", "nlp:project management", "nlp:telescope", "nlp:technology utilization" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25379-1", "name": "Failure Modes and Effects Analysis Tool (FMEA)", "tags": [ "NASA", "JSC", "General Public Release", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-06" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "8219e649-3c1a-41c5-9f9f-515fc607de55", "description": "The scope of this project is to develop a prototype failure analysis software tool. The tool models a system's components, their connective relationships, and functions in order to assist in Failure Modes and Effect analysis (FMEA) early in the design lifecycle.\r\n\r\nThe purpose of the tool is to semi-automatically generate a model with functions and failure modes to support FMEA. This will be accomplished by:\r\nA graphical component-connection model is created by arranging and connecting components selected from the Master Equipment list.\r\n\r\nFor each component, a pick-list user interface asks a few questions to narrow down potential failure modes. This uses a failure mode library in MS Excel based on standard failure modes and associated component functions and features.\r\n\r\nPick-lists for types failure mode causes and immediate effects help the analyst complete initial draft FMEA worksheets, which link to the components in the model.\r\n\r\nThe graphical model, which is marked with redundant components and paths, shows upstream/downstream dependencies, to help the analyst add further effects and criticality to the FMEA worksheets.\r\n\r\nThis tool is innovative because it saves analysis time and provides a standardized and systematic approach in failure analysis, thereby enabling risk mitigation early in system design. There are also potential benefits of tool use during the operations phase to identify the cause(s) of a fault or failure. \r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25379-1", "sti_keywords_passed_thresholds": [ "nlp:fault tolerance", "nlp:mathematical model", "nlp:failure analysi", "nlp:design analysi", "nlp:computer systems design", "nlp:software development tool", "nlp:systems engineering", "nlp:systems analysi", "nlp:failure mode" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24958-1", "name": "Spacecraft Trajectory Analysis and Mission Planning Simulation (STAMPS) Software", "tags": [ "NASA", "JSC", "U.S. Release Only", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "a0651236-bb13-49d9-9620-fe0c4a21f430", "description": "STAMPS simulates either three- or six-degrees-of-freedom cases for all shuttle flight phases using translated HAL flight software or generic GN&C models. Single or multiple trajectories can be simulated for use in optimization and dispersion analysis. The technology includes math models for the vehicle and environment and a C version of shuttle onboard flight software.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24958-1", "sti_keywords_passed_thresholds": [ "nlp:trajectory", "nlp:mathematical model", "nlp:spacecraft trajectory", "nlp:optimization", "nlp:space shuttle orbiter", "nlp:thermal analysi", "nlp:flight simulation", "nlp:space shuttle", "nlp:trajectory optimization", "nlp:trajectory analysi" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25353-1", "name": "Power Quality Impedance Tester Software", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Electronics and Electrical Power" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "70002333-ca99-495e-abac-eb9bc3a10f38", "description": "The Power Quality Impedance Tester Software and the Frequency-Response Analyzer (FRA) combined deliver a complete frequency-response measurement system. The software runs on any personal computer using Microsoft Windows XP/2007. Data, displayed on a graphical user interface, can be saved to a text file.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25353-1", "sti_keywords_passed_thresholds": [ "nlp:impedance measurement", "nlp:automatic test equipment", "nlp:measuring instrument", "nlp:electrical impedance", "nlp:impedance", "nlp:interface", "nlp:personal computer", "nlp:data processing", "nlp:frequency measurement", "nlp:frequency response" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25736-1", "name": "Space Habitability Observation Reporting Tool (iSHORT)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Data and Image Processing" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "5e9225f7-1168-40d7-9c66-1e76a49b0aaa", "description": "Designed for use on the iPad 2 (or newer technology), iSHORT allows users to capture text, audio, video, and photographs within a single interface. The app allows users to indicate the priority of their observation (no change needed, nice to have, or must be addressed); provides a list of memory joggers to assist users in recalling items of interest related to human factors and habitability; and allows for simple report submission within the app.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25736-1", "sti_keywords_passed_thresholds": [ "nlp:graphical user interface", "nlp:computer storage device", "nlp:memory (computers)", "nlp:memory", "nlp:human factors engineering", "nlp:interface", "nlp:video signal", "nlp:habitability", "nlp:human-computer interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25376-1", "name": "InSight Software", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Data Servers Processing and Handling" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-11-13" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "4f36f87c-19e0-456a-8578-687359669cee", "description": "The InSight application is designed to execute on Windows XP or later platforms. Its basic premise is to provide a common command and data display graphical user interface (GUI) for data streams originating from an extensible set of data sources. A data source may be either a physical interface type (i.e., serial or GPIB buses) or a virtual interface represented by an application programming interface (API) provided by a vendor that abstracts the underlying physical interface (i.e., Trick simulations using the Trick API or NIDAQmx).\r\nMultiple devices/instruments under test (DUT) may be connected to a single data source depending upon what the underlying operating system interface (OSI) media layers allow. Each data source type is abstracted to the GUI through a dynamic link library (DLL) that provides a common programming interface. Multiple data sources of each type are allowed. By authoring a new DLL that adheres to the InSight API, new data source types can be added.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25376-1", "sti_keywords_passed_thresholds": [ "nlp:data link", "nlp:human-computer interface", "nlp:computerized simulation", "nlp:operating systems (computers)", "nlp:interactive control", "nlp:computer graphic", "nlp:interface", "nlp:display device", "nlp:data processing", "nlp:graphical user interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25719-1", "name": "CriticalThreads-A Low-Level Parallelization Architecture for Critical Applications", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Data Servers Processing and Handling" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "92612e62-313f-4c5d-9e58-cc6b1bb8fee9", "description": "Critical Threads is alight weight \"pthreading\" application interface that allows software developers to parallelize C++ segments without suffering the normally unavoidable operating system level context switching overhead.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25719-1", "sti_keywords_passed_thresholds": [ "nlp:evaluation", "nlp:human-computer interface", "nlp:hydroelectricity", "nlp:computerized simulation", "nlp:operating systems (computers)", "nlp:distributed processing", "nlp:software reliability", "nlp:software development tool", "nlp:interface", "nlp:graphical user interface" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25681-1", "name": "NASA Performance Evaluation Profile (PEP)", "tags": [ "NASA", "JSC", "General Public Release", "Business Systems and Project Management" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "7948184c-9f68-4525-b9a0-b2f01f2773b0", "description": "NASA's Performance Evaluation Profile (PEP) program provides a PC-based method for conducting standardized self-assessments of operational and system safety program processes. PEP features software applications and a modified Management Oversight and Risk Tree (MORT) logic diagram to analyze both the strengths and weaknesses of occupational and system safety programs.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25681-1", "sti_keywords_passed_thresholds": [ "nlp:evaluation", "nlp:risk", "nlp:safety", "nlp:computer program integrity", "nlp:management method", "nlp:project management", "nlp:personal computer", "nlp:management system", "nlp:computer systems performance" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-26142-1", "name": "Score 3.2 and Subs(3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Operations" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-03-01" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "f4b233f0-0d5f-4124-a605-2914ebdebed9", "description": "Score is a application used to build and edit timelines with resource and constraint checking capabilities. It allows for statusing of activities, the inclusion of hyperlinks to activities, the ability to check and manipulate constraints and resource usage by activities.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-26142-1", "sti_keywords_passed_thresholds": [ "nlp:computation", "nlp:java (programming language)", "nlp:mission planning", "nlp:computerized simulation", "nlp:scheduling", "nlp:interactive control", "nlp:defense program", "nlp:resource allocation", "nlp:constraint", "nlp:technology utilization" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_03PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24723-1", "name": "NASA Aircraft Management Information System (NAMIS)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Business Systems and Project Management" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "6d2fe1e8-7db2-42d8-ad8f-5ddc7653d02e", "description": "The NASA Aircraft Management Information System (NAMIS) is an enterprise resource planning/mission support software suite designed from the ground up to meet both the mission support requirements and the business management requirements of JSC's Aircraft Operations Division (AOD). The system features tools and processes that: 1) eliminate the risk of conducting flight operations in aircraft with overdue inspections, in aircraft with grounding discrepancies, and in aircraft not properly configured for the mission; 2) provide continuous and positive control of all assets including materials, parts, and equipment that exceed a customer-defined value; and 3) reduce material costs and labor hours. NAMIS includes the data, information, and metrics required to support flight operations management and business decisions, as well as the data required by other systems and external components to support consistent and accurate financial reporting and asset accounting.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24723-1", "sti_keywords_passed_thresholds": [ "nlp:risk", "nlp:decision making", "nlp:management planning", "nlp:mission planning", "nlp:support system", "nlp:industrial management", "nlp:flight control", "nlp:decision support system", "nlp:cost effectivenes", "nlp:cost analysi" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-24760-1", "name": "GCR Event-Based Risk Model (GERMCode) Code", "tags": [ "NASA", "JSC", "General Public Release", "Crew and Life Support" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-09-18" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "f267327e-51dc-452f-898a-25f404c77583", "description": "The GERMCode provides scientists data interpretation of experiments; modeling of beam line, shielding of target samples and sample holders; and estimation of basic physical and biological outputs of their experiments.\r\nFor mono-energetic ion beams, basic physical and biological properties are calculated for a selected ion type, such as kinetic energy, mass, charge number, absorbed dose, or fluence. Evaluated quantities are linear energy transfer (LET), range (R), absorption and fragmentation cross sections, and the probability of nuclear interactions after 1 or 5 cm of water equivalent material. In addition, a set of biophysical properties are evaluated, such as, the Poisson distribution for a specified cellular area, cell survival curves, and DNA damage yields per cell.\r\n\r\n Also, the GERM code calculates the radiation transport of the beam line for either a fixed number of user specified depths or at multiple positions along the Bragg curve of the particle in a selected material. \r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-24760-1", "sti_keywords_passed_thresholds": [ "nlp:energy transfer", "nlp:linear energy transfer (let)", "nlp:heavy ion", "nlp:ion", "nlp:ionizing radiation", "nlp:ion beam", "nlp:deoxyribonucleic acid", "nlp:particle accelerator", "nlp:radiation measurement", "nlp:radiation dosage" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25004-1", "name": "GFEChutes Lo-Fi", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Vehicle Management (Space/Air/Ground)" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-03-30" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "84d3916a-3cbc-41a5-9009-f1a0ccf2ae88", "description": "The GFE Lo-Fi Chutes Model provides basic modeling capability of a sequential series of parachute activities. Actions include deploying the parachute, changing the reefing on the parachute, and cutting away the parachute. Multiple chutes can be deployed at any given time, but all chutes in that case are assumed to behave as individually isolated chutes; there is no modeling of any interactions between deployed chutes. Drag characteristics of a deployed chute are based on a coefficient of drag, the face-area of the chute, and the local dynamic pressure only. The orientation of the chute is approximately modeled for purposes of obtaining torques on the vehicle, but the dynamic state of the chute as a separate entity is not integrated, the treatment is simply an approximation. \r\n\r\nPlans for every post-shuttle manned vehicle which will reenter Earth's atmosphere, or for that matter, the Martian atmosphere, include a descent phase controlled by some sort of parachute system. Having a NASA-certified parachute model which can be plugged into various flight simulators is a huge advantage. Building a special purpose parachute simulator for a specific simulation is at least a million dollar job. Lockheed Martin had to do exactly that in order to support Pad Abort I, and GFEChutes Lo-Fi was tested against the Lockheed prototype. \r\n\r\nHaving a verified, Class C parachute model, packaged in a reusable (plug-and-play) form, is smart technically and an outstanding strategic move as we enter the world of commercial manned space flight. ", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25004-1", "sti_keywords_passed_thresholds": [ "nlp:mathematical model", "nlp:model", "nlp:computerized simulation", "nlp:aerodynamic drag", "nlp:flight mechanic", "nlp:spacecraft model", "nlp:aircraft model", "nlp:space shuttle" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25998-1", "name": "Class A Core Flight Software (SBN653)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Operations" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-04-12" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "397d1a8b-9db5-49af-9955-2b0d947e1942", "description": "This software provides a communication pass through between NASA's Core Flight Software (CFS) framework's software bus and the ARINC-653 standard sampling port mechanisms. It is provided to adapt the CFS framework to run within ARINC-653 partitioned operating environments.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25998-1", "sti_keywords_passed_thresholds": [ "nlp:airborne/spaceborne computer", "nlp:interprocessor communication", "nlp:operating systems (computers)", "nlp:channels (data transmission)", "nlp:data transmission", "nlp:software development tool", "nlp:programming environment", "nlp:avionic", "nlp:flight simulation", "nlp:flight control" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25937-1", "name": "RITRACKS: A software for simulation of stochastic radiation track structure, micro- and nano-dosimetry, radiation chemistry and DNA damage by heavy ions", "tags": [ "NASA", "JSC", "General Public Release", "Crew and Life Support" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2015-02-06" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "9caf4a08-7dc5-4861-a789-eb7b0062109e", "description": "The code RITRACKS (Relativistic Ion Tracks) has been developed over the last years at the NASA Johnson Space Center to simulate the effects of ionizing radiations at the microscopic scale and to understand the effects of space radiation at the biological level. The fundamental part of this code is the stochastic simulation of radiation track structure of heavy ions, an important component of space radiations. The code can calculate many relevant quantities such as the radial dose, voxel dose, and may also be used to calculate the dose in spherical and cylindrical targets of various sizes. Recently, we have incorporated DNA structure and damage simulations at the molecular scale in RITRACKS. The direct effect of radiations is simulated by introducing a slight modification of the existing particle transport algorithms, using the Binary-Encounter-Bethe model of ionization cross sections for each molecular orbitals of DNA. The simulation of radiation chemistry is done by a step-by-step diffusion-reaction program based on the Greens functions of the diffusion equation. This approach is also used to simulate the indirect effect of ionizing radiation on DNA. The software can be installed independently on PC and tablets using the Windows operating system and does not require any coding from the user. It includes a Graphic User Interface (GUI) and a 3D OpenGL visualization interface. The calculations are executed simultaneously (in parallel) on multiple CPUs. ", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25937-1", "sti_keywords_passed_thresholds": [ "nlp:radiation damage", "nlp:mathematical model", "nlp:computational astrophysic", "nlp:heavy ion", "nlp:computerized simulation", "nlp:ionizing radiation", "nlp:deoxyribonucleic acid", "nlp:extraterrestrial radiation", "nlp:model", "nlp:stochastic processe" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-23945-1", "name": "The DEBRIS code for tracking particles with mass and drag through computational fluid dynamics solutions on overset grids", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "System Testing" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-04-19" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "3e986b01-655d-4c35-a8a9-9fb5c13a38b6", "description": "The DEBRIS software performs particle tracking within an overset grid system from a computational fluid dynamics (CFD) solution. The particle tracking is based on the particle's mass properties and local aerodynamic characteristics within the flowfield. The software allows the user to specify the location and initial conditions for release of the particle. The code then traces the particle's ballistic trajectory (i.e. any lift force is ignored) through the grid system. The resulting trajectory is output to a file which can be viewed/processed as needed by the user.\r\n\r\nThe DEBRIS software was created to accurately and efficiently analyze the debris transport environment for liberated debris from the Space Shuttle Launch Vehicle (SSLV) during ascent. The motivation for its development is a consequence of the Columbia accident, where foam used to insulate the external tank dislodged during ascent and struck the wing leading edge of the Orbiter. The resulting impact critically breached the thermal protection system for the wing, allowing hot gases to enter the structure of the vehicle, which led to the catastrophic loss of crew and vehicle.\r\n", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-23945-1", "sti_keywords_passed_thresholds": [ "nlp:dynamic structural analysi", "nlp:computational fluid dynamic" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_04PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-25510-1", "name": "Advanced Life Support Sizing Analysis Tool (ALSSAT), Version 12.0", "tags": [ "NASA", "JSC", "U.S. Release Only", "Design and Integration Tools" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "a7ee1a82-f5a1-4fe4-90fd-8717951ee829", "description": "The Advanced Life Support Sizing Analysis Tool (ALSSAT) is a computer model for sizing and analyzing designs of environmental-control and life support systems (ECLSS) for spacecraft and surface habitats involved in the exploration of Mars and the Moon. It performs conceptual designs of advanced life support (ALS) subsystems that recycle air and water and process wastes in order to reduce the need for resource resupply. ALSSAT is a means of investigating combinations of such subsystems' technologies and thereby assists in determining the most cost-effective technology combination available. Using the Microsoft Excel spreadsheet software with Visual Basic programming language, ALSSAT has been developed to perform multiple-case trade studies based on the calculated ECLSS mass, volume, power, and Equivalent System Mass, as well as parametric studies by varying the input parameters. 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The purpose of this tool is to perform life support system trade studies and analysis. ALSSAT aids in the creation of conceptual designs for advanced systems using physiochemical and biological processes in either open-loop systems or closed-loop systems that recycle air and water as well as process human waste products. The regenerative life support processes can be used as a means to decrease the amount of consumable re-supply required for a range of missions including in-space transit vehicles or habitats, and surface habitats on the moon or Mars. Since not all missions are long enough to payback the mass of the recycling hardware, or may not need all possible resources that could be recycled, determining the best suite of technologies to provide the right amount of resource recovery for each mission is very difficult. Because so many technological combinations are possible, the development of an Advanced Life Support Sizing Analysis Tool (ALSSAT) was created as a means to investigate these combinations. This tool assists in the determination of the most mass effective and reliable combination of methods available for a steady-state operating condition. ALSSAT has been developed using the Microsoft Excel spreadsheet program and has been programmed to perform multiple-case mission scenarios through Visual Basic (VB) interface forms for data input and computational analysis of ALS subsystems. Based on the preliminary design considerations, the Advanced Life Support system mass, power, and volume are computed for various mission specifications. 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Offering a novel approach to modeling, BLAST couples extensive MER research with the ability to assess mission changes instantaneously by analyzing sensitivity sweeps of several parameters at once.", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/MSC-25505-1", "sti_keywords_passed_thresholds": [ "nlp:sensitivity", "nlp:spacecraft control", "nlp:mission planning", "nlp:large space structure", "nlp:spacecraft design", "nlp:manned space flight", "nlp:low earth orbit", "nlp:aerospace engineering", "nlp:space mission", "nlp:space transportation" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_06PM" }, { "repositoryURL": "https://software.nasa.gov/software/MSC-26217-1", "name": "Database and Reporting Application for Code coverage on Orion (DRACO)", "tags": [ "NASA", "JSC", "U.S. Government Purpose Release", "Data and Image Processing" ], "contact": { "email": "jsc-ttco-software-request@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2016-10-13" }, "organization": "JSC", "permissions": { "licenses": [ { "URL": "https://software.nasa.gov/faq", "name": "Pending Release" } ], "usageType": "governmentWideReuse", "exemptionText": null }, "local-id": "201e33de-bedf-44bc-b132-cdc3402724d8", "description": "The DRACO (Database and Reporting Application for Code coverage on Orion) tool suite provides streamlined collection of code coverage metrics and reporting capability for the Orion program. 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Data and analyses of accelerations is important for phemomena and systems that are sensitive to gravity, such as multiphase fluid flow (e.g., gas and liquid concurrent flows). These data measurements are required for parabolic, suborbital and/or space testing and operations to evaluate research and hardware under the dynamic and different test/operational environment in zero- and/or low-gravity. The current data viewer configuration was developed using the COTS Labview Runtime Engine executable available for free download from the National Instruments website (http://www.ni.com/download/labview-run-time-engine-2012/3433/en/; http://ftp.ni.com/support/softlib/labview/labview_runtime/2012/Windows/LVRTE2012f3std.exe). In addition, the viewer uses COTS apps for retrieval/transfer of data from an Apple iTouch into the customizable Labview program . 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(2) The second component of the software kit is the Client/Server to Create, Modify, and Query VERITAS File System Quotas on an NFS-Mounted File System with a Secure Web-Based Interface (KSC-12268). In this technology, the client (which exists on an internal secure platform with a secure interface) can be accessed from any authorized platform capable of running a Web browser. The server software exists on a UNIX platform configured with the VERITAS file system. 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It was designed to provide similar, but not exact, representation of aircraft performance. The emphasis was on flexibility and simplicity. Originally the intent was to use the model for testing simulation hardware and for demonstrations. No proprietary data is used in the model. Most of the coefficients are linearized, and based on the set of parameters provided in Roskam, Airplane Flight Dynamics (Reference 1) when available. The intent was that any other transport aircraft could be modeled at the same level by providing the equivalent set of data. (Appendix C describes levels of simulation modeling.) 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", "supplementaryURLs": [], "contributors": [], "languages": [], "homepageURL": "https://software.nasa.gov/software/ARC-14293-1", "disclaimerURL": "https://ti.arc.nasa.gov/opensource/nosa/javagenes/", "sti_keywords_passed_thresholds": [ "nlp:computation", "nlp:electric network", "nlp:integrated circuit", "nlp:graph theory", "nlp:combinatorial analysi", "nlp:circuit", "nlp:symbol", "nlp:algorithm", "nlp:graphs (charts)" ], "service_version": "4.1.1", "date_AI_tags": "2019_October_03_at_02_26PM" }, { "repositoryURL": "https://ti.arc.nasa.gov/opensource/projects/javagenes/", "name": "JavaGenes-Scheduler: Evolutionary Software for Earth Observing Satellite Scheduling", "tags": [ "NASA", "ARC", "Open Source", "Data Servers Processing and Handling" ], "contact": { "email": "arc-sra-team@mail.nasa.gov", "name": "", "phone": "" }, "laborHours": 0, "date": { "metadataLastUpdated": "2014-04-15" }, "organization": "ARC", "permissions": { "licenses": [ { "URL": "https://opensource.org/licenses/NASA-1.3", "name": "NASA Open Source" } ], "usageType": "openSource", "exemptionText": null }, "local-id": "3fd36450-8efe-4e46-9b3e-d5ae20a2822d", "description": "JavaGenes-Scheduler is a general purpose evolutionary system designed to compare techniques for scheduling observations. 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The toolbox can be used to record simulated flight data, visualize flight profiles, create out-the-window visuals, test autopilots, and test control algorithms. Additionally, the toolbox enables the display of ghost traffic flying predefined flight paths in the simulated airspace, and the visualization of flight plans in the form of waypoints. The toolbox allows custom built or third party autopilot programs to interface with X-Plane through MATLAB, C, C++, Java, or Python . Code examples are included in the open source distribution. 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Presented here is a set of routines written in Microsoft Visual Basic for Applications (VBA) and incorporating functions specific to Microsoft Excel that are useful for predicting the radiative behavior of heated surfaces. These routines include functions for calculating important engineering quantities of primary importance to engineers and scientists such as radiative flux and spectral distributions. 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It includes a tutorial on structural finite element modeling (FEM_Tutorial.m) using elements such as 12 DOF plates and 6 DOF beams. The aero tutorial (DLM_VLM_Tutorial.m) shows how to code doublet lattice and vortex lattice, with symmetry capability. Together the finite element and aero tutorials can be used to compare to experimental studies such as ground vibration testing, cantilever beam analysis, as well as wind tunnel testing. The primary code, EZASE.m, links structures and aero together in a commented way to produce a wing in flutter which can be controlled. The wing may include control surfaces or they can be excluded. A state space model with control surface inputs and accelerometer outputs can be produced. This model is used to design a PID control system and is tested using margin studies and pole plots. Other visualization methods such as V-g plots determined using the K-method are also included. The code is commented for Graduate and Undergraduate students of aeroservoelasticity who want to know the basic concepts of medium fidelity aeroservoelastic modeling. Not all methods are coded to industry standards. But students of the field including practicing engineers may find it useful for basic understanding; theoretical manuals for industry level codes tend to leave out many of the coding details. All of the details of the code are open sourced here and most of it is referenced at the top of the file to its source paper or book section. 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Code for the API that uses models trained by this repo is in `concept-tagging-api` repository.", "contact": { "email": "brian.a.thomas@nasa.gov", "name": "", "phone": "", "URL": "" }, "date": { "lastModified": "2020-12-01", "metadataLastUpdated": "2021-08-13", "created": "2020-10-01" }, "organization": "HQ", "permissions": { "licenses": [ { "name": "MIT", "URL": "https://opensource.org/licenses/MIT" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:model", "nlp:mathematical model", "nlp:natural language processing", "nlp:computation", "nlp:linguistic", "nlp:symbol", "nlp:error correcting code", "nlp:words (language)", "nlp:education", "nlp:computerized simulation" ], "service_version": "4.1.1", "date_AI_tags": "2021_August_13_at_03_45PM", "local-id": "cc40a054-9052-4f83-85a7-d22a434b59d5" }, { "repositoryURL": "https://github.com/nasa/concept-tagging-api", "homepageURL": "https://github.com/nasa/concept-tagging-api", "downloadURL": "https://github.com/nasa/concept-tagging-api/archive/master.zip", "disclaimerURL": "https://raw.githubusercontent.com/nasa/concept-tagging-api/master/LICENSE", "laborHours": 500, "languages": [ "JavaScript", "Python", "HTML", "CSS" ], "name": "concept-tagging-api", "contributors": [ { "name": "Justin Gosses", "email": "justin.c.gosses@nasa.gov", "github": "JustinGOSSES" }, { "name": "Anthony Buonomo", "email": "arb246@georgetown.edu", "github": "abuonomo" } ], "tags": [ "usg-artificial-intelligence", "nlp", "machine-learning", "text", "api", "model", "keyword", "prediction", "natural-language-processing", "concept", "flask", "docker" ], "description": "Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`. An API for exposing models created with concept-tagging-training code project. This project was written about here for the Federal Data Strategy Incubator Project. https://strategy.data.gov/proof-points/2019/05/28/improving-data-access-and-data-management-artificial-intelligence-generated-metadata-tags-at-nasa/", "contact": { "email": "brian.a.thomas@nasa.gov", "name": "Brian Thomas", "phone": "", "URL": "" }, "date": { "lastModified": "2020-11-01", "metadataLastUpdated": "2021-08-13", "created": "2018-08-01" }, "organization": "HQ", "permissions": { "licenses": [ { "name": "MIT", "URL": "https://opensource.org/licenses/MIT" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:data structure", "nlp:computer assisted instruction", "nlp:symbol", "nlp:project management", "nlp:education", "nlp:computerized simulation", "nlp:mathematical model", "nlp:computation", "nlp:error correcting code", "nlp:model" ], "service_version": "4.1.1", "date_AI_tags": "2021_August_13_at_01_44PM", "local-id": "858d60c3-a598-4035-b3d4-cc6c0c7db9e4" }, { "repositoryURL": "https://github.com/nasa/Coordinate-systems-class-library", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 40, "languages": [ "C++" ], "name": "Coordinate-systems-class-library", "contributors": [ { "name": "Justin Strickland", "email": "justin.k.strickland@nasa.gov", "github": "jkstrickland13" } ], "tags": [ "NASA", "LaRC", "Open Source", "Data and Image Processing", "Modeling and Simulation" ], "description": "Library of classes representing various coordinate systems and providing the transformations between them. Coordinate systems represented are: East-North-Up (ENU), Downrange-Crossrange-Above (DCA), Latitude-Longitude-Altitude (LLA), Earth-Centered-Fixed (ECF), and Azimuth-Elevation-Range (AER).", "contact": { "email": "justin.k.strickland@nasa.gov", "name": "Justin Strickland", "phone": null, "URL": "" }, "date": { "lastModified": "2021-09-24", "metadataLastUpdated": "2020-04-09", "created": "2013-12-05" }, "organization": "LaRC", "permissions": { "licenses": [ { "name": "NASA Open Source", "URL": "https://opensource.org/licenses/NASA-1.3" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:complex system", "nlp:computation", "nlp:library", "nlp:numerical analysi", "nlp:computerized simulation", "nlp:graphs (charts)", "nlp:dynamical system", "nlp:transformations (mathematics)" ], "service_version": "4.1.1", "date_AI_tags": "2020_September_10_at_08_36AM", "local-id": "f85c6ff3-f464-429e-8653-a4aa48812008" }, { "repositoryURL": "https://github.com/nasa/delta", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 3000, "languages": [ "Python" ], "name": "DELTA", "contributors": [ { "name": "Brian Coltin", "email": "brian.coltin@nasa.gov", "github": "bcoltin" } ], "tags": [ "usg-artificial-intelligence", "machine learning", "remote sensing", "satellite imagery", "deep learning", "tensorflow" ], "description": "DELTA (Deep Earth Learning, Training and Analysis) is a toolkit for deep learning on satellite imagery. DELTA allows Earth scientists to apply state of the art machine learning techniques to classify satellite imagery.", "contact": { "email": "brian.coltin@nasa.gov", "name": "Brian Coltin", "phone": null, "URL": "https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/" }, "date": { "lastModified": "2020-05-05", "metadataLastUpdated": "2020-05-05", "created": "2019-04-02" }, "organization": "ARC", "permissions": { "licenses": [ { "name": "Apache-2.0", "URL": "https://opensource.org/licenses/Apache-2.0" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:remote sensor", "nlp:satellite observation", "nlp:earth (planet)", "nlp:earth surface", "nlp:artificial satellite", "nlp:education", "nlp:satellite imagery", "nlp:satellite-borne photography", "nlp:technology assessment", "nlp:meteorological satellite" ], "service_version": "4.1.1", "date_AI_tags": "2020_September_10_at_08_36AM", "local-id": "7bacd218-0f62-4bff-9043-5ede394050b7" }, { "repositoryURL": "https://github.com/nasa/CTT", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 7200, "languages": [ "JavaScript", "HTML", "CSS" ], "name": "CTT", "contributors": [ { "name": "Vanessa Pao", "email": "vanessa.l.pao@nasa.gov", "github": "vanessalpao" }, { "name": "Madhavi Puli", "email": "madhavi.puli@nasa.gov", "github": "Madhavipuli" }, { "name": "Ramprasad Varri", "email": "ramprasad.varri@nasa.gov", "github": "varrira" }, { "name": "Deepak Chawla", "email": "deepak.chawla@nasa.gov", "github": "Deepchawla" }, { "name": "Babajide Folarin", "email": "babajide.a.folarin@nasa.gov", "github": "Bfolarin" }, { "name": "Rupa Nallani", "email": "rupa.c.nallani@nasa.gov", "github": "RupaNal" }, { "name": "Esteban Duenas", "email": "esteban.duenas@nasa.gov", "github": "Estey-Sketch" }, { "name": "Priyada Mohan", "email": "priyada.mohan@nasa.gov", "github": "priyadamohan91" }, { "name": "Chris Kusek", "email": "christopher.j.kusek@nasa.gov", "github": "Christopher-JK" }, { "name": "John McCardle", "email": "john.p.mccardle@nasa.gov", "github": "john-mccardle" }, { "name": "Chad Collier", "email": "charles.t.collier@nasa.gov", "github": "chadtcollier" } ], "tags": [ "salesforce", "pandemic", "covid-19", "contact tracing" ], "description": " In order to successfully meet NASA\u2019s goal of safely returning its 60,000 employees to on-site work in the wake of the COVID-19 global pandemic, the Agency transitioned its paper-based contact tracing and tracking solution to a more thorough, modern and unified application solution. The NASA Contact Tracing and Tracking (CTT) application on the Salesforce platform is aiding the organization in its efforts to trace and contain the spread of COVID-19 at its 14 facilities.", "contact": { "email": "vanessa.l.pao@nasa.gov", "name": "Vanessa Pao", "phone": null, "URL": "" }, "date": { "lastModified": "2020-10-04", "metadataLastUpdated": "2020-09-24", "created": "2020-08-13" }, "organization": "HQ", "permissions": { "licenses": [ { "name": "NASA Open Source", "URL": "https://opensource.org/licenses/NASA-1.3" } ], "usageType": "openSource", "exemptionText": null }, "date_AI_tags": "2020_September_24_at_12_30PM", "sti_keywords_passed_thresholds": [ "nlp:tracking (position)", "nlp:research facilitie", "nlp:contact load", "nlp:electric contact", "nlp:wake", "nlp:problem solving", "nlp:turbulent wake" ], "service_version": "4.1.1", "local-id": "12ed0b2b-15cc-4fcf-8ef5-355a8f2e4399" }, { "repositoryURL": "github.com/nasa/Practical-Micromechanics", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 2000, "languages": [ "MATLAB" ], "name": "Practical Micromechanics", "contributors": [ { "name": "Steve Arnold", "email": "Steven.M.Arnold@nasa.gov", "github": "N/A" }, { "name": "Jacob Aboudi", "email": "aboudi@eng.tau.ac.il", "github": "N/A" } ], "tags": [ "Micromechanics", "Thermoelastic", "Composite Materials", "Effective Properties", "Classical Lamination Theory", "Mori-Tanaka", "Method of Cells", "Generalized Method of Cells", "High Fidelity Generalized Method of Cells", "Failure Criteria", "Margin of Safety", "Allowables", "Thermal Stresses" ], "description": "MATLAB software Associated with \"Practical Micromechanics of Composite Materials\" Book. The intent of the book is to provide both students and practitioners with a solid understanding of micromechanics concepts and theories that can be used in practice and provide their theoretical underpinnings in a clear and concise manner. The power of these theories becomes particularly clear with their application (via the MATLAB\nsoftware suite) in multiscale modeling of composites, herein limited to classical lamination theory.\nThe compilation of scripts and functions enables a user to perform all examples and exercises presented in the Elsevier Book entitled \"Practical Micromechanics of Composite Materials\" by Prof Aboudi, Arnold and Bednarcyk, to be published in\n2021. Developed in MATLAB R2018a.", "contact": { "email": "brett.a.bednarcyk@nasa.gov", "name": "Brett A. Bednarcyk", "phone": null, "URL": "" }, "date": { "lastModified": "2020-11-01", "metadataLastUpdated": "2020-10-23", "created": "2018-05-04" }, "organization": "GRC", "permissions": { "licenses": [ { "name": "NASA Open Source", "URL": "https://opensource.org/licenses/NASA-1.3" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:structural analysi", "nlp:micromechanic", "nlp:ceramic matrix composite", "nlp:technology utilization", "nlp:laminate", "nlp:metal matrix composite", "nlp:mathematical model", "nlp:fiber orientation", "nlp:composite material", "nlp:structural design" ], "service_version": "4.1.1", "date_AI_tags": "2020_October_23_at_11_30AM", "local-id": "669278c3-7415-420c-a536-43aded120ed2" }, { "repositoryURL": "https://github.com/nasa/cFS-EDS-GroundStation", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 120, "languages": [ "Python" ], "name": "cFS-EDS-GroundStation", "contributors": [ { "name": "Mathew McCaskey", "email": "mathew.j.mccaskey@nasa.gov", "github": "mjmccaskey" } ], "tags": [ "cFS", "Core Flight System", "EDS", "Electronic Data Sheets", "Telemetry", "Telecommand" ], "description": "This software package primarily consists of a python based graphical user interface (GUI) which serves as a generic telemetry and telecommand system for any mission that uses core flight systems (cFS) with CCSDS Electronic Data Sheets (EDS) support. The GUI utilizes python bindings to automatically read all of the information contained in the mission's EDS Library and Core Flight Executive (CFE) Mission Library.\n\nOn the telecommand side this allows instance names, topic names, and subcommand names to be automatically populated in drop-down menus. Command that require a payload will produce text boxes or drop-down menus for user entry. Finally, completed commands are packed and sent to the desired core flight instance.\n\nOn the telemetry side, the GUI will continuously listen for messages. When messages arrive, they are decoded, the contents are displayed to the screen, sorted by topic, and saved internally. Telemetry messages can be saved to binary files for further processing.\n\nAlso included are several utility python scripts. Two such scripts perform the command sending and telemetry decoding functionality of the GUI. The third reads in the saved telemetry data files and converts the messages into a CSV format which can be loaded in an Excel type program.", "contact": { "email": "mathew.j.mccaskey@nasa.gov", "name": "", "phone": "", "URL": "" }, "date": { "lastModified": "2020-10-23", "metadataLastUpdated": "2020-10-28", "created": "2020-09-01" }, "organization": "GRC", "permissions": { "licenses": [ { "name": "Apache-2.0", "URL": "https://opensource.org/licenses/Apache-2.0" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:telemetry", "nlp:systems analysi", "nlp:biomedical data", "nlp:message processing", "nlp:software development tool", "nlp:data processing", "nlp:file maintenance (computers)", "nlp:electronic equipment" ], "service_version": "4.1.1", "date_AI_tags": "2020_October_28_at_02_15PM", "local-id": "bb75ca56-7cc2-4ab0-be0c-0604d44a9621" }, { "repositoryURL": "https://github.com/nasa/simupy-flight", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 120, "languages": [ "Python" ], "name": "SimuPy Flight Vehicle Toolkit", "contributors": [ { "name": "Benjamin Margolis", "email": "benjamin.margolis@nasa.gov", "github": "sixpearls" } ], "tags": [ "simulation", "python", "framework" ], "description": "This software library leverages open source scientific computing tools to implement an efficient simulation framework for flight vehicles in Python. Equations of motion are composed in blocks using the SimuPy library, an open source Python alternative to Simulink, and integrated using SciPys wrappers for standard Fortran implementations of ordinary differential equation solvers. Dynamics equations of the inertial state variables for the position, orientation, and their corresponding rates for integration are developed using the SymPy symbolic library and implemented using code generation. Kinematics equations are implemented through symbolic definition and code generation as well as leveraging other open source software that implements useful functions, such as the solutions to the inverse geodesy problem.", "contact": { "email": "benjamin.margolis@nasa.gov", "name": "Benjamin Margolis", "phone": 6506048933, "URL": "" }, "date": { "lastModified": "2021-02-19", "metadataLastUpdated": "2021-02-25", "created": "2020-06-01" }, "organization": "ARC", "permissions": { "licenses": [ { "name": "NASA Open Source", "URL": "https://opensource.org/licenses/NASA-1.3" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:computerized simulation", "nlp:flight control", "nlp:algorithm", "nlp:flight simulation", "nlp:mathematical model", "nlp:model", "nlp:kinematic", "nlp:simulation" ], "service_version": "4.1.1", "date_AI_tags": "2021_February_25_at_08_15AM", "local-id": "51071867-7e46-4315-9255-9bfe7a99b246" }, { "repositoryURL": "https://github.com/nasa/HyperInSPACE", "homepageURL": "", "downloadURL": "", "disclaimerURL": "", "laborHours": 3000, "languages": [ "Python" ], "name": "HyperInSPACE", "contributors": [ { "name": "Dirk Aurin", "email": "dirk.a.aurin@nasa.gov", "github": "oceancolorcoder" } ], "tags": [ "ocean color", "radiometry", "remote sensing", "validation", "algorithm development", "glint correction", "HyperSAS", "SeaBASS" ], "description": "Provide hyperspectral in situ support for the PACE mission by processing automated, above-water ocean color radiometry using state-of-the-art methods and protocols for quality assurance, uncertainty estimation/propagation, sky/sunglint correction, convolution to satellite wavebands, and ocean color product retrieval. Data output are formatted to text files for submission to the SeaBASS database and saved as comprehensive HDF5 records with automated processing reports. The package is designed to facilitate rigorous, flexible, and transparent data processing for the ocean color remote sensing community, particularly PIs funded by NASA to submit such radiometric data to SeaBASS. Radiometry processed in HyperInSPACE are used for water optical characterization, ocean color product retrieval algorithm development, and orbital platform validation.", "contact": { "email": "dirk.a.aurin@nasa.gov", "name": "Dirk Aurin", "phone": "", "URL": "https://science.gsfc.nasa.gov/sed/bio/dirk.a.aurin" }, "date": { "lastModified": "2021-04-01", "metadataLastUpdated": "2021-04-01", "created": "2021-04-01" }, "organization": "GSFC", "permissions": { "licenses": [ { "name": "MIT", "URL": "https://opensource.org/licenses/MIT" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:atmospheric correction", "nlp:water color", "nlp:proving", "nlp:data processing", "nlp:oceanography", "nlp:remote sensing", "nlp:algorithm", "nlp:ocean", "nlp:in situ measurement", "nlp:data base" ], "service_version": "4.1.1", "date_AI_tags": "2021_April_01_at_02_00PM", "local-id": "ef3be4b6-2b5d-44fe-92ee-383da8f0b6f2" }, { "repositoryURL": "https://github.com/nasa/legacy-mars-global-climate-model", "homepageURL": "https://www.nasa.gov/mars-climate-modeling-center-ames", "downloadURL": "", "disclaimerURL": "https://github.com/nasa/legacy-mars-global-climate-model/blob/main/README.md", "laborHours": 80000, "languages": [ "Markdown", "Fortran", "IDL" ], "name": "legacy-mars-global-climate-model", "contributors": [ { "name": "Richard Urata", "email": "richard.a.urata@nasa.gov", "github": "rurata" } ], "tags": [ "Mars", "atmosphere", "global climate model", "dust", "microphysics", "Ames", "clouds", "GCM" ], "description": "We present the NASA Ames Legacy Mars Global Climate Model for public release. This model uses a modified version of the ARIES/GEOS dynamical core coupled with a set of Mars physics packages to simulate the martian climate. The physics packages include the treatment of surface properties, a ground temperature model, a planetary boundary layer scheme, water and carbon dioxide sublimation/condensation physics, a water ice cloud microphysical scheme, the use of a moment method for tracer transport, a semi-interactive dust tracking scheme, and a two-stream radiative transfer code based on correlated-k\u2019s.", "contact": { "email": "melinda.a.kahre@nasa.gov", "name": "Melinda Kahre", "phone": "", "URL": "" }, "date": { "lastModified": "2021-09-10", "metadataLastUpdated": "2021-09-10", "created": "1993-02-25" }, "organization": "ARC", "permissions": { "licenses": [ { "name": "NASA Open Source", "URL": "https://opensource.org/licenses/NASA-1.3" } ], "usageType": "openSource", "exemptionText": null }, "sti_keywords_passed_thresholds": [ "nlp:carbon dioxide", "nlp:ice", "nlp:cosmic dust", "nlp:numerical analysi", "nlp:water", "nlp:mathematical model", "nlp:surface temperature", "nlp:model", "nlp:dust", "nlp:radiative transfer" ], "service_version": "4.1.1", "date_AI_tags": "2021_September_10_at_01_45PM", "local-id": "2797e6f0-a8a0-4f32-b743-7fbc9764fb38" }, { "repositoryURL": "https://github.com/nasa/earth-imagery-api", "homepageURL": "https://github.com/nasa/earth-imagery-api", "downloadURL": "https://github.com/nasa/earth-imagery-api/archive/refs/heads/main.zip", "disclaimerURL": "https://github.com/nasa/earth-imagery-api/blob/main/README.md", "laborHours": 200, "languages": [ "JavaScript", "Python", "HTML", "CSS", "Markdown" ], "name": "earth-imagery-api", "contributors": [ { "name": "Justin Gosses", "email": "N/A", "github": "JustinGOSSES" }, { "name": "N/A", "email": "N/A", "github": "jnbetancourt" }, { "name": "N/A", "email": "N/A", "github": "jasonduley" } ], "tags": [ "earth", "earth-imagery", "earth-observation", "landsat", "flask", "python", "api", "google-earth-engine", "gee", "beginner-friendly", "start", "satellite", "satellite-imagery" ], "description": "The code repository for earth-imagery-api on https://api.nasa.gov/ . This repository contains a Flask API that provides satellite imagery. It is designed to be very simple and easy to use with minimal functionality and is provided to the public through api.nasa.gov. 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