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Trojan Detection Software Challenge - nlp-question-answering-sep2021-train
Data provided by National Institute of Standards and Technology
Round 8 Train Dataset
Modified:
Source: https://drive.google.com/drive/folders/14HRUuFyw7S7JZsJroUEy1sqeEPaJyiGh?usp=drive_link
Trojan Detection Software Challenge - nlp-question-answering-sep2021-test
Data provided by National Institute of Standards and Technology
Round 8 Test Dataset
Modified:
Source: https://drive.google.com/drive/folders/1cngI3oe9hAmYKg2dAxxcwWZG2u_vIX1G?usp=drive_link
Trojan Detection Software Challenge - nlp-question-answering-sep2021-holdout
Data provided by National Institute of Standards and Technology
Round 8 Holdout Dataset
Modified:
Source: https://drive.google.com/drive/folders/1ELIK-Ix_EpQG802Zbhu0lSa-b7ROlt8x?usp=drive_link
Aged and unaged ultra high molar mass polyethylene flexible unidirectional composite laminate tensile testing for soft body armor applications
Data provided by National Institute of Standards and Technology
This dataset contains mechanical testing data at two different loading rates for two different aging conditions (wet and dry at 70 °C) for five different extraction time points for ultra high molar mass polyethylene (UHMMPE) unidirectional (UD) laminate. In each folder there is a spreadsheet (.csv) with the test data collected during loading, and a (.avi) video file for each of the tests done under those conditions.
Modified:
Deep Video Understanding (DVU) Dataset
Data provided by National Institute of Standards and Technology
The DVU dataset consists of 10 creative common movies for training and 4 creative common movies for testing used in the Deep Video Understanding grand challenges in 2020 and 2021. Total duration is about 17 hr.
Modified:
Source: https://www-nlpir.nist.gov/projects/trecvid/dvu/training/
Single fiber tensile testing data for multiple fibers at multiple gauge lengths
Data provided by National Institute of Standards and Technology
A compilation of single fiber tensile tests for 6 different materials at 8 different gauge lengths. Fibers included are 3 different aramids, a liquid crystal polyester, regenerated cellulose, and nylon 6,6.
Modified:
Modeling MCPTT and User Behavior in ns-3
Data provided by National Institute of Standards and Technology
This dataset contains the raw data for the paper: Garey, W.; Henderson, T.; Sun, Y.; Rouil, R. and Gamboa, S. (2021). Modeling MCPTT and User Behavior in ns-3. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH, ISBN 978-989-758-528-9, pages 30-41. DOI: 10.5220/0010513200300041. This includes: Figure 4 - The talk spurt and talk session duration CDF. Figure 5 - Orchestrator pusher model example. Figure 7 - MCPTT Access Time for immediately granted requests with queuing disabled.
Modified:
Results of flow-FISH for RNA degradation
Data provided by National Institute of Standards and Technology
Flow cytometry measurements of FISH-labeled RNA at timepoints following rifampicin addition. These data folders contain raw data (.fcs files), analysis files, and summary statistics ("summary.csv") for each experiment. The "v1" data represent biological replicates. The "v2" data represent technical replicates of the original sample preparations for each experiment. Both "v2" datasets were collected on July 16, 2021.
Modified:
The NIST Scan Framework for ARTIQ
Data provided by National Institute of Standards and Technology
The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.
Modified:
Source: https://pages.nist.gov/artiq_scan_framework/
Datasets from an interlaboratory comparison to characterize a multi-modal polydisperse sub-micrometer bead dispersion
Data provided by National Institute of Standards and Technology
These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.
Modified:
