Reconstructed CT slices for Right maxilla with M1/ and roots of P4/ of Plesiadapis gingerichi (University of Michigan Museum of Paleontology catalog number UMMP 68409) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
The H2O concentration and H2O/Ce ratio in olivine-hosted melt inclusions are high (H2O up to 1410 ppm; H2O/Ce up to 77) in lunar sample 74220 but lower (H2O up to 430 ppm; H2O/Ce up to 9.4) in all other lunar samples studied before this work. This difference is absent for other volatiles (F, S, and Cl) in melt inclusions in 74220 and other lunar samples. Because H2O (or H) is a critical volatile component with significant ramifications on the origin and evolution of the Moon, it is important to understand what causes such a large gap in H2O/Ce ratio between 74220 and other lunar samples. Two explanations have been advanced. One is that volcanic product in sample 74220 has the highest cooling rate and thus best preserved H2O in melt inclusions compared to melt inclusions in other samples. The other explanation is that sample 74220 is a localized heterogeneity enriched in some volatiles. To distinguish the two possibilities, here we present new data from three rapidly cooled lunar samples: olivine-hosted glassy melt inclusions (OHMIs) in 74220 regolith and 79135 regolith breccia, and pyroxene-hosted glassy melt inclusions (PHMIs) in 15597 pigeonite basalts. If the gap is due to the difference in cooling rates, samples with cooling rates between 74220 and other studied lunar samples should have preserved intermediate H2O concentrations and H2O/Ce ratios. Our results show that melt inclusions in 79135 and 15597 contain high H2O concentrations (up to 969 ppm in 79135 and up to 793 ppm in 15597) and high H2O/Ce ratios (up to 21 in 79135 and up to 13 in 15997). Combined with literature data, we confirm that H2O/Ce ratios of different lunar samples are positively correlated to the cooling rates and independent of the type of mare basalts. Our work bridges the big gap in H2O/Ce ratio among 74220 and other lunar samples. We hence reinforce the interpretation that the lunar sample with the highest cooling rate best represents pre-eruptive volatiles in lunar basalts due to the least degassing. H2O, F, P, S and Cl concentrations in the lunar primitive mantle are also estimated in this work. and *** 2024-03-19: In addition to the files in the previous version, this updated deposit contains more data files as the supplementary files of the paper. For example, we added a summary excel file containing data that are used for figures in the paper, and an excel file contains data in the tables of the paper for easy use by readers. See ReadMe.txt for changes.
Reconstructed CT slices for Left dentary with P/4-M/1, M/2 trigonid, P/3 roots of Plesiadapis gingerichi (University of Michigan Museum of Paleontology catalog number UMMP 68409) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
Data consists largely of UV-VIs spectra, both raw and analyzed, that were used to calibrate the relevant sensor. A more detailed description of individual files' contents can be found in the ReadMe word document.
This merged Global Precipitation Measurement (GPM) Core Observatory and atmospheric river dataset contains gridded Goddard Profiling (GPROF) algorithm v7 precipitation rates (Kummerow et al. 2015; Randel et al. 2020), Remote Sensing Systems (RSS) atmospheric water vapor (Meissner et al. 2012), and Mattingly et al. (2018) atmospheric rivers in the North Atlantic and North Pacific oceans. The GPROF precipitation rates and RSS atmospheric water vapor are both derived using the GPM Microwave Imager (GMI) brightness temperature observations. The atmospheric river data is derived from MERRA-2 (Modern-Era Retrospective analysis for Research and Applications Reanalysis, Version 2) integrated water vapor transport (Mattingly et al. 2018).
, The data coverage starts at the beginning of the GPM data record (GPM launched in Feb 2014 and the processed data coverage starts in May 2014). Subsequent years will be added throughout the lifetime of the project.
, The monthly files are compressed into year and basin: either the North Atlantic (NA) or the North Pacific (NP) (e.g., NA_2014) and zipped. The files have the basin name indicated and are by year and month (e.g., gridded_atlantic_201405.nc). The files produced are in NetCDF format ( https://www.unidata.ucar.edu/software/netcdf/) and conform to all standard NetCDF metadata conventions ( http://cfconventions.org/cf-conventions/cf-conventions.html), and Kummerow, C. D., Randel, D. L., Kulie, M., Wang, N. Y., Ferraro, R., Joseph Munchak, S., & Petkovic, V. (2015). The evolution of the Goddard profiling algorithm to a fully parametric scheme. Journal of atmospheric and oceanic technology, 32(12), 2265-2280. https://doi.org/10.1175/JTECH-D-15-0039.1
Mattingly, K. S., Mote, T. L., & Fettweis, X. (2018). Atmospheric river impacts on Greenland Ice Sheet surface mass balance. Journal of Geophysical Research: Atmospheres, 123(16), 8538-8560. https://doi.org/10.1029/2018JD028714
Meissner, T., F. J. Wentz, and D. Draper, 2012: GMI Calibration Algorithm and Analysis Theoretical Basis Document, Remote Sensing Systems, Santa Rosa, CA, report number 041912, 124 pp.
Randel, D. L., Kummerow, C. D., & Ringerud, S. (2020). The Goddard Profiling (GPROF) precipitation retrieval algorithm. Satellite Precipitation Measurement: Volume 1, 141-152. https://doi.org/10.1007/978-3-030-24568-9_8
Research data supporting, 'Flexible Synthesis Scheme and Application of AuNP Surface-Conjugatable Meta-Iodobenzylguanidine Derivatives for Enhanced Cellular Internalization', 10.1021/acsmaterialslett.3c00781, AuNP = Au nanoparticle.
In 10.1021/acsmaterialslett.3c00781, we report the synthesis and application of two metaiodobenzylguanidine (MIBG) derivatives decorated on the surface of AuNPs at high molar ratios; greatly enhanced cellular uptake is observed across neuroblastoma (NB), HeLa, and HEK cell lines.
This dataset consists of synthetic NMR and mass spec data for the small molecules and their intermediates, dark-field microscopy data, inductively-coupled plasma mass spectrometry data, and raw data for characterizing the AuNPs (TEM, DLS, zeta potential).
Flexible Synthesis Scheme and Application of AuNP Surface-Conjugatable Metaiodobenzylguanidine Derivatives for Enhanced Cellular Internalization Natalie S. Potter, Alan McLean, Evan C. Bornowski, Thomas Hopkins, Jingyi Luo, John P. Wolfe, Wei Qian, and Raoul Kopelman ACS Materials Letters Article ASAP DOI: 10.1021/acsmaterialslett.3c00781
Bacteria live in a broad range of environmental temperatures that require adaptations of their RNA sequences to maintain function. Riboswitches are regulatory RNAs that change conformation upon binding of typical metabolite ligands to control bacterial gene expression. The paradigmatic small class-I preQ1 riboswitches from the mesophile Bacillus subtilis (Bsu) and the thermophile Thermoanaerobacter tengcongensis (Tte) adopt similar pseudoknot structures when bound to preQ1. Here, we use single-molecule detected chemical denaturation by urea to compare the thermodynamic and kinetic folding properties of the two riboswitches, and the urea-countering effects of trimethylamine N-oxide (TMAO). This data includes the experimental findings and associated analyses detailed in the research article titled "Single-molecule FRET observes opposing effects of urea and TMAO on structurally similar meso- and thermophilic riboswitch RNAs". The data consists of multiple zip files, each representing an experiment that corresponds to the key results in the publication. Each experiment includes movies, qualifying smFRET trajectories, and analysis files related to various conditions within that experimental group.
Data used in the paper "Theory of Magnetic Switchbacks Fully Supported by Parker Solar Probe Observations" by G. Toth, M. Velli and B. van der Holst, ApJ 2023.
The Observations directory contains the PSP observations as simple text files that can be easily read by the IDL macros in the BATSRUS/share/IDL/General/ or any other plotting software.
The Simulations directory contains BATSRUS simulations including input and output files. The runlog files show the Git references. The output files are in binary format that can be read by the IDL macros in the BATSRUS/share/IDL/General/ or with the SpacePy software.
The BATSRUS directory contains the source code that can be used to reproduce the simulations.
G. Toth, M. Velli, B. van der Holst, 2023, Theory of Magnetic Switchbacks Fully Supported by Parker Solar Probe Observations, The Astrophysical Journal, in press
As part of the Flaring & Fossil Fuels: Uncovering Emissions & Losses (F3UEL) project, in 2022 the aircraft measurement platform sampled offshore oil & gas facilities in the US Gulf of Mexico to quantify facility-level emissions using the approach detailed in Conley et al. (2017). Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data file contains all merged flight data from each flight day.
Reference: Conley, S., Faloona, I., Mehrotra, S., Suard, M., Lenschow, D. H., Sweeney, C., Herndon, S., Schwietzke, S., Pétron, G., Pifer, J., Kort, E. A., and Schnell, R.: Application of Gauss’s theorem to quantify localized surface emissions from airborne measurements of wind and trace gases, Atmos. Meas. Tech., 10, 3345 – 3358, 2017.