In this DataVerse we publish datasets related to the ASTRIAGraph project. ASTRIAGraph is a framework that enables monitoring, assessment, and verification of space-actor-behavior in the context of legal and policy instruments. The goal of ASTRIAGraph is to achieve space safety, security, and sustainability. It supports Anthropogenic Space Objects (ASOs) visualization and tracking, as well as space traffic management queries through a publicly-accessible web platform.

ASTRIAGraph is supported by a NEO4J graph database where multiple private and public data sources of space domain information are automatically ingested, curated, organized, integrated, and analyzed to solve scientific inquiries relevant to Space Domain Awareness (SDA). Data organization is based on a data model designed in relation to scientific case studies contributed by the community of researchers, policy makers, and the public interested in SDA. Amongst the scientific case studies supported by ASTRIAGraph are: orbital determination of ASO's, identification of GEO satellite disposal in compliance with international regulations, and compliance with registration requirements of the United Nations (UN) Office for Outer Space Affairs.

Led by Dr. Moriba Jah (https://sites.utexas.edu/moriba/about/), the interdisciplinary research team is formed by faculty, researchers, and students from the Department of Aerospace Engineering and Engineering Mechanics (https://www.ae.utexas.edu/) and from the Texas Advanced Computing Center (https://www.tacc.utexas.edu) at the University of Texas at Austin.

For information on how data is curated in ASTRIAGraph see: Maria Esteva, Weijia Xu, Nevan Simone, Amit Gupta, Moriba Jah. Modeling Data Curation to Scientific Inquiry: A Case Study for Multimodal Data Integration. The ACM/IEEE Joint Conference on Digital Libraries in 2020. June 19-23, Wuhan, China. Doi: https://doi.org/10.1145/3383583.3398539

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1 to 6 of 6 Results
Jul 14, 2022
Esteva, Maria; Weijia Xu; Nevan Simone; Kartik Nagpal; Amit Gupta; Moriba Jah, 2022, "Replication Data for: Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections", https://doi.org/10.18738/T8/OOTALX, Texas Data Repository, V1
The dataset in this publication demonstrates the implementation and capabilities of Synchronic Curation (SC) in ASTRIAGraph. SC is a framework to curate multiple and large datasets for purposes of integration and reuse in research applications. Data driven applications often requ...
Feb 8, 2022
Clark, Matthew, 2022, "Code to Generate Hilbert Curves", https://doi.org/10.18738/T8/BGYMM9, Texas Data Repository, V1
Matlab code used to convert a square image into a vector of lightness/intensity values, with the order of data in the vector following a Hilbert curve of user selected order. Also displays that vector graphically as a Hilbert curve. Hilbertbase.m file is the function used to draw...
Nov 16, 2021
Feuge-Miller, Benjamin; Kucharski, Daniel; Jah, Moriba, 2021, "ASTRIANet Data for: Cosmos-1408", https://doi.org/10.18738/T8/PYWBDN, Texas Data Repository, V2
Overview This dataset contains observations along the expected track of the COSMOS-1408 satellite on Nov. 16, 2021. Objects are observed which have low relative angular velocity with respect to the expected pre-breakup track, possibly having originated from the COSMOS-1408 breaku...
Nov 12, 2021
Feuge-Miller, Benjamin; Kucharski, Daniel; Iyer, Shiva; Jah, Moriba, 2021, "ASTRIANet Data for: Python Computational Inference from Structure (PyCIS)", https://doi.org/10.18738/T8/GV0ASD, Texas Data Repository, V3
Usage and Overview This data set contains FITS-formatted files of annotated image data collected by the ASTRIANet telescope network, along with a technical specification document on the telescope sensor and an Excel-formatted table of example image annotations. Two full passes of...
Aug 3, 2021
Nair, Vishnu, 2021, "Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space", https://doi.org/10.18738/T8/LHX5KM, Texas Data Repository, V2
Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability,...
Mar 1, 2021
Simone, Nevan; Nagpal, Kartik; Gupta, Amit; Esteva, Maria; Xu, Weijia; Jah, Moriba, 2021, "Replication Data for: Transparency and Accountability in Space Domain Awareness: Demonstrating ASTRIAGraph's Capabilities with the United Nations Registry Data", https://doi.org/10.18738/T8/NBWWWZ, Texas Data Repository, V1
United Nations Objects Launched into Outer Space Register Data Under the purview of the Office for Outer Space Affairs UNOOSA, The United Nations maintains a Register of Objects Launched into Outer Space (a.k.a. Anthropogenic Space Objects or ASOs) for purposes of assessing peace...
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