Datasets: All

  1. Circadian Disruption Decreases Gluconeogenic Flux

    2022-11-01 13:29:58 | Datasets | Contributor(s): Theresa M. Casey, Shawn Donkin | doi:10.4231/JB0Q-DR06

    The data provide here are 13C enrichment ratios of amino acids following incubation in [U-13C] propionate to evaluate carbon flux towards glucose or tricarboxylic acid (TCA) cycle intermediates. These data are presented and discussed in a manuscript.

    https://purr.purdue.edu/publications/4161

  2. Unmanned Aircraft Systems (UAS) Sighting Data 2016 to 2019

    2022-10-25 17:02:12 | Datasets | Contributor(s): Cheng Wang, Sarah M Hubbard | doi:10.4231/H31Y-7197

    This dataset is based on the UAS Sightings Report published by FAA. The dataset contains 6,551 reports from Sep. 2016 to Aug. 2019. The dataset also includes information about airports from the National Plan for Integrated Airport Systems (NPIAS)...

    https://purr.purdue.edu/publications/4159

  3. Structure-function relationships of cholesterol mobilization from the endo-lysosome compartment of NPC1-deficient human cells by β-CD polyrotaxanes

    2022-10-25 15:17:07 | Datasets | Contributor(s): David H Thompson, Judith Storch | doi:10.4231/NK5J-6T74

    2-Hydroxypropyl-β-cyclodextrin containing polyrotaxanes represent an attractive approach for treatment of a rare metabolic disorder Niemann-Pick Type C.

    https://purr.purdue.edu/publications/4135

  4. Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene

    2022-10-24 19:23:37 | Datasets | Contributor(s): Bailu Zhao, Qianlai Zhuang, Steve Frolking | doi:10.4231/FV42-TZ12

    This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost...

    https://purr.purdue.edu/publications/4054

  5. North Central Region Household Data (NCR-Stat): Baseline Survey

    2022-10-20 15:55:50 | Datasets | Contributor(s): Zuzana Bednarikova, Maria I. Marshall, Renee D. Wiatt, Michael D. Wilcox, Jr | doi:10.4231/2DEM-Z333

    The NCRCRD collected data for the 12 states in the North Central Region with an emphasis on demography, economics, health, housing, environment, and social behavior.

    https://purr.purdue.edu/publications/4156

  6. Data for: Simulations for x-ray imaging of wave-packet dynamics

    2022-10-17 16:39:10 | Datasets | Contributor(s): Akilesh Venkatesh, Francis Robicheaux | doi:10.4231/1YVE-FW43

    Data used in the figures of Phys. Rev. A 106, 033125 (2022) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.

    https://purr.purdue.edu/publications/4155

  7. The importance of interactions between snow, permafrost and vegetation dynamics in terrestrial carbon balance in circumpolar regions

    2022-10-04 17:50:19 | Datasets | Contributor(s): Qianlai Zhuang, Yiming Xu | doi:10.4231/E1AD-DB33

    This data contains model output of net primary production (NPP), heterotrophic respiration (RH), foliage projection cover (FPC) and soil temperature.

    https://purr.purdue.edu/publications/4153

  8. Evaluation of water-deficit responses in wild-by-cultivated rice introgression lines

    2022-10-04 13:22:15 | Datasets | Contributor(s): Rachel Katrina Imel, Diane Ran Wang | doi:10.4231/0JP3-WK59

    Rice introgression lines were analyzed for their response to water-deficit conditions under controlled environments at Purdue University as well as a field setting in Stuttgart, Arkansas.

    https://purr.purdue.edu/publications/4097

  9. Heavy Fleet and Facilities Optimization: Electronic Tool for Generating Optimal Snow Routes (Python Version)

    2022-10-03 15:33:32 | Datasets | Contributor(s): Runjia Du, Richard Ajagu, Ramanujam Ramaswamy, Sam Labi | doi:10.4231/VCTK-A223

    The Snow Route Generation tool helps INDOT’s winter operations personnel to generate snow removal routes in an optimal manner and minimize the deadhead miles of the trucks deployed in snow removal. The manual explains how to use the SRG tool.

    https://purr.purdue.edu/publications/4005

  10. Data and Code from: Humans prioritize walking efficiency or walking stability based on environmental risk

    2022-09-29 18:22:20 | Datasets | Contributor(s): Ashwini Kulkarni, Chuyi Cui, Shirley Rietdyk, Satyajit S Ambike | doi:10.4231/J887-SN98

    Margin of stability (MOS) and MOS synergy indices that quantify coordination between the step length and the body's motion as healthy young adults approach and cross an obstacle. Code to generate figures from data.

    https://purr.purdue.edu/publications/4150

  11. Trajectory Dataset for translation of driver-pedestrian behavioral models at semi- controlled crosswalks into a quantitative framework.

    2022-10-03 15:46:15 | Datasets | Contributor(s): Jon D. Fricker, Yunchang Zhang | doi:10.4231/KMQX-R785

    On-site cameras provided a bird-eye view of an unsignalized crosswalk. Computer Vision algorithms generate a large-scale spatial-temporal trajectory dataset from more than three hours of videos.

    https://purr.purdue.edu/publications/4137

  12. Peatlands and their carbon dynamics in northern high latitudes from 1990 to 2300: A process-based biogeochemistry model analysis

    2022-09-20 18:02:32 | Datasets | Contributor(s): Bailu Zhao, Qianlai Zhuang | doi:10.4231/QP7V-V527

    This study simulates the C dynamics of northern peatlands during1990-2300. Before 2100, northern peatlands are a C source under all climate scenarios except for the mildest one. Afterwards, northern peatlands under all scenarios are C sources.

    https://purr.purdue.edu/publications/4139

  13. Data and code from: Locomotion control during curb descent: Bilateral ground reaction variables covary consistently during the double support phase regardless of future foot placement constraints

    2022-09-16 12:02:24 | Datasets | Contributor(s): Chuyi Cui, Ashwini Kulkarni, Shirley Rietdyk, Satyajit Ambike | doi:10.4231/65GZ-K658

    Spatial-temporal variables, foot placements, and synergy indices that quantify the coordination between the ground reaction variables under both feet while stepping down from a curb. Code for generating figures from the data.

    https://purr.purdue.edu/publications/4140

  14. BreakOut Automatic Picking From Image Logs (BOAPFIL)

    2022-09-06 15:18:58 | Datasets | Contributor(s): Wenjing Wang, Douglas R Schmitt | doi:10.4231/Q677-QE32

    A Matlab-based algorithm that picks breakout azimuth and width from ultrasonic image logs automatically

    https://purr.purdue.edu/publications/4068

  15. The establishment history of three invasive anuran species across the Florida peninsula

    2022-09-06 14:48:16 | Datasets | Contributor(s): Andrew Joseph Mularo, James Andrew DeWoody, Ximena E Bernal | doi:10.4231/4AGY-FT54

    Associated data downloaded from both VertNet and the USGS Nonindigenous Aquatic Species Database for the publication "The establishment history of three invasive anuran species across the Florida peninsula"

    https://purr.purdue.edu/publications/4108

  16. Volume Measurement of Biological Materials in Livestock or Vehicular Settings Using Computer Vision

    2022-08-25 13:22:31 | Datasets | Contributor(s): Matthew B Rogers, Dennis Buckmaster | doi:10.4231/NE9P-HC76

    A Velodyne Puck VLP-16 LiDAR and a Carnegie Robotics Multisense S21 stereo camera were compared for use in dusty agricultural conditions in a dust chamber. Next, the stereo camera was used for volume measurements in a feed bunk and in a grain truck.

    https://purr.purdue.edu/publications/4111

  17. Data for Proteomics and Metabolomics Profiling of Meat Exudate to Understand the Impact of Postmortem Aging on Oxidative Stability of Beef Muscles

    2022-08-24 14:52:29 | Datasets | Contributor(s): Bruce R Cooper, Derico Setyabrata, Uma K Aryal, Yuan H Kim | doi:10.4231/60Q7-GP95

    Metabolomics and proteomics data used in the proteomics and metabolomics profiling of meat exudate study

    https://purr.purdue.edu/publications/4133

  18. Indiana’s Future Freight Traffic Optimization Model

    2022-08-18 18:20:22 | Datasets | Contributor(s): Ananth V. Iyer, Steven Dunlop, Thomas Brady, Dutt J. Thakkar, Saichandar Naini, Srinath Jayan, Sanjayraj Mohanraj, Janani Srinvasan | doi:10.4231/X1M2-TV82

    The results of this study indicate that systematic, model-based capacity planning analysis can be used effectively in planning transportation infrastructure improvements that are linked to specific industry clusters.

    https://purr.purdue.edu/publications/4131

  19. Code for the severe convective storm (SCS) environmental sounding model described in Chavas and Dawson (2021, JAS).

    2022-08-16 14:59:27 | Datasets | Contributor(s): Daniel Robert Chavas, Daniel Thomas Dawson | doi:10.4231/DP2D-YF95

    Code to produce an idealized severe convective storm (SCS) environmental sounding as described in the paper Chavas and Dawson (2021, JAS).

    https://purr.purdue.edu/publications/4122

  20. Origin-Destination (O-D) Matrix from Indianapolis

    2022-08-16 12:52:40 | Datasets | Contributor(s): Christos Gkartzonikas, Lisa Lorena Losada-Rojas, Zimo Zhang, Konstantina Gkritza | doi:10.4231/543K-FR90

    The Origin-Destination matrix for Indy contains the flows of the 42 Transportation Analysis Zones surrounding the Indianapolis area. It also presents the total amount of travel within each region.

    https://purr.purdue.edu/publications/4123

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