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901 to 910 of 1,740 Results
Oct 4, 2021 - Paleocommunities Dataverse
Muscente, A. Drew; Martindale, Rowan, 2021, "Muscente et al. Appearance and disappearance rates of Phanerozoic marine animal paleocommunities", https://doi.org/10.18738/T8/NZFFME, Texas Data Repository, V1, UNF:6:cQnIJtyveRN3CE00OXAEJA== [fileUNF]
Supplemental Dataset for Muscente et al. in Geology "Appearance and disappearance rates of Phanerozoic marine animal paleocommunities".
Paleocommunities Dataverse(University of Texas at Austin)
Oct 4, 2021
This dataverse contains Paleocommunities datasets.
Oct 2, 2021 - Pavement Science and Engineering
Bhasin, Amit; Filonzi, Angelo; Komaragiri, Satyavati; Hajj, Ramez; Seay, Tyler; Trevino, Manuel, 2021, "Parts and Sample Preparation Guide for the Poker Chip or Asphalt Ductility Test", https://doi.org/10.18738/T8/KTCNVK, Texas Data Repository, V4
This document contains the parts, engineering drawings, and sample preparation method to conduct the poker chip or asphalt ductility test.
Sep 30, 2021 - Peter Miller Dataverse
Miller, Peter, 2021, "P- and S-Wave velocities of exhumed metasediments from the Alaskan subduction zone: Implications for the in-situ conditions along the megathrust", https://doi.org/10.18738/T8/2O49AK, Texas Data Repository, V1
P and S-wave velocity data measured for the manuscript entitled: P- and S-Wave velocities of exhumed metasediments from the Alaskan subduction zone: Implications for the in-situ conditions along the megathrust.
Sep 29, 2021 - UT Austin Planetary Surface Processes Group Dataverse
Tebolt, Michelle, 2021, "Data Archive for Tebolt and Goudge [2021] Global investigation of martian sedimentary fan features: Using stratigraphic analysis to study depositional environment", https://doi.org/10.18738/T8/RXHNIA, Texas Data Repository, V1
HiRISE and CTX data for the sedimentary fans analyzed in Tebolt and Goudge [2021] https://doi.org/10.1016/j.icarus.2021.114718
Sep 27, 2021 - Monfils Fear Memory Lab Dataverse
Laura Agee; Monfils, Marie, 2021, "Appetitive Behavior in the Social Transmission of Food Preference Paradigm Predicts Activation of Orexin-A producing Neurons in a Sex-Dependent Manner", https://doi.org/10.18738/T8/Z9YHMK, Texas Data Repository, V1, UNF:6:5AFWJr5S/81RcJ0JqSt/Lg== [fileUNF]
Orexin-producing cells in the lateral hypothalamic area have been shown to be involved in a wide variety of behavioral and cognitive functions, including the recall of appetitive associations and a variety of social behaviors. Here, we investigated the role of orexin in the acqui...
Sep 23, 2021
Thompson, Jonathan, 2021, "Data archive for: Thompson et al. (2021) Filtering and continuously separating microplastics from water using electric field gradients formed electrochemically in the absence of buffer.", https://doi.org/10.18738/T8/4FBJ4Y, Texas Data Repository, V1, UNF:6:MhNfPxsDde1ACNwALVMIUA== [fileUNF]
Current and conductivity data for straight microchannel experiments.
Sep 23, 2021 - UT Austin Planetary Surface Processes Group Dataverse
Goudge, Timothy, 2021, "Data Archive for: Goudge et al. (2021), The importance of lake breach floods for valley incision on early Mars.", https://doi.org/10.18738/T8/STRFZH, Texas Data Repository, V1
Dataset archive for Goudge et al. (2021), The importance of lake breach floods for valley incision on early Mars, Nature, doi: 10.1038/s41586-021-03860-1. Dataset contains four compressed .TAR.GZ files, each with a distinct component of the archived dataset, fully explained in th...
Sep 22, 2021 - Intelligent Environments Laboratory
Nagy, Gyorgy Zoltan, 2021, "The CityLearn Challenge 2021", https://doi.org/10.18738/T8/Q2EIQC, Texas Data Repository, V1, UNF:6:V/M3U8Unwh5K4Qv+kAjpiw== [fileUNF]
This is the dataset used for the The CityLearn Challenge 2021. It contains the buildings as well as the training (public) and challenge (private) datasets.
Sep 21, 2021
Mihelic, Samuel, 2021, "Segmentation-Less, Automated, Vascular Vectorization Data", https://doi.org/10.18738/T8/NA08NU, Texas Data Repository, V1
Input images, intermediates and outputs used to demonstrate the Segmentation-Less, Automated, Vascular Vectorization (SLAVV) software. Please read the Related Publication, and see the Alternative URL in the metadata for more download options.
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