2875 research outputs found
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Replication Data for: Spikes and Sen Bayesian Analysis of Inclusion Models
No full textData from Anselmetti and Eberli (1997) and Fabricious et al. (2010
Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models
No full textA comprehensive experimental database containing results of a series of dry vacuum-consolidated triaxial compression tests was populated. The tests were performed on sand specimens and conducted under similar experimental conditions, in which specimens’ boundary deformation was captured using a three-dimensional digital image correlation analysis (3D-DIC). The use of a standard triaxial device along with the 3D-DIC technology allowed the specimens’ global and local boundary displacement fields to be computed from start to end of the compression phase. By repeating each test under the same experimental conditions and building the specimens using the same type of sand, the boundary deformation patterns could be identified, and the statistics associated with both global and local displacement fields could be assessed. Making this experimental database available to others should serve to calibrate as well as develop new forward models to account for effects associated with the specimens’ local displacements and material heterogeneity and include statistics to represent a specimen’s random response. Moreover, this work will serve as a basis for the statistical characterization of spatio-temporal boundary localization effects used to develop stochastic models and machine-learning models, and simulate virtual triaxial tests
Replication Data for: Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections
No full textThe 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 require data integrated from different large and continuously updated collections. These collections may present gaps and overlaps, or may conflict with or complement each other. Thus, a curation need is to continuously assess if data are fit for integration and reuse. The SC framework involves processing steps to map different collections to a unifying data model that represents research problems in a scientific area as well as the collections' provenance. Data points from the collections that are integrated to the system are mapped to the data model, and a unified data dictionary is maintained centrally and expanded as needed. The data model is implemented in a graph database where collections are continuously ingested and queried. SC includes a collection analysis and comparison module to track collections updates, and to identify gaps, changes, and irregularities within and across them. Users can query the database or access comparison results interactively through an interactive graph.
We present three files:
1) The Synchronic Curation data model's state in ASTRIAGraph up to the date of this publication. The data model includes labeled classes identified by domain scientists as comprising research problems in the space, their corresponding properties. Classes and properties are defined according to a unified data dictionary maintained by the ASTRIAGraph team. Some terms/labels and definitions are extracted from the Unified Astronomy Thesaurus. The names of the collections that are ingested to ASTRIAGraph are also included in the data model, as well as the relationships between their data points to the classes and properties that they had been mapped to.
2) Schema for comparing data fields of two versions of the collection of the United Nations Office for Outer Space Affairs (UNOOSA) Space Object Register.
3) Matrix with the final tally of the comparison of the two versions. The results can be accessed via web based interactive graphs whose URL are noted in the metadata.
Originally developed for ASTRIAGraph, SC can be applied to other areas of knowledge. It is specially useful for very large and frequently updated datasets. This dataset can be used to learn about the methodology used to process the data for SC and to replicate results
Remembering Options Discussed
No full textWe analyzed data from a prospective Institutional Review Board-approved research project (IRB #2010-0321) that enrolled patients at various stages of breast reconstruction. The study sample consisted of adult breast cancer patients whose legal sex was female and who underwent treatment at the Center for Reconstructive Surgery at The University of Texas MD Anderson Cancer Center from 2011 to 2014. Participants provided written informed consent. We used data collected from 505 participants’ baseline visits
Replication Data for: Factor structure of attention bias task
No full textData needed to reproduce Factor structure of attention bias task result
X-ray CT dataset of Martian shergottite LAR 12095,40
No full textX-ray CT Scans of a chip of Martian shergottite LAR 12095 (LAR 12095,40) for Scott Eckley of The University of Texas at Austin and NASA - Johnson Space Center. Specimen scanned by Scott Eckley at NASA - JSC on 3 January 2020.
Voxel Size X, Y, and Z = 8.57 µm
Please acknowledge The Astromaterials X-ray Computed Tomography Lab at NASA - JSC and Scott Eckley when using this data
Velocity model for the Texas South Delaware Basin
No full textThis a series of velocity models developed compiling various data sets
Data and tested models for AudioIMU
No full textData and weights of the tested models for paper "AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models". Liang et al. 202
Data for: "The viscoplastic behavior of natural hydrate-bearing sediments under uniaxial strain compression (K0 loading)"
No full textData for: "The viscoplastic behavior of natural hydrate-bearing sediments under uniaxial strain compression (K0 loading)