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
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.
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.
This dataset includes a catalog of events for the Prague, Oklahoma earthquake sequence with uncalibrated and calibrated relative magnitudes that are a product of the relative magnitude method (see Gable & Huang, submitted).
Original earthquake catalog records for the combined catalog used in this analysis and the events used in the relative magnitude to absolute magnitude calibration process are a product of the following studies:
Cochran, E.S., et al. (2020). Activation of optimally and unfavourably oriented faults in a uniform local stress field during the 2011 Prague, Oklahoma, sequence. Geophysical Journal International, 222(1), pp. 153-168. https://doi.org/10.1093/gji/ggaa153
Skoumal, R.J., M.R. Brudzinski, B.S. Currie, & R. Ries (2020). Temporal patterns of induced seismicity in Oklahoma revealed from multi-station template matching. Journal of Seismology, 24, pp. 921-935. https://doi.org/10.1007/s10950-019-09864-9
Sumy, D.F., et al. (2014). Observations of static Coulomb stress triggering of the November 2011 M5.7 Oklahoma earthquake sequence. Journal of Geophysical Research: Solid Earth, 119(3), 1904-1923. https://doi.org/10.1785/0120210115
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.
Single molecule data and analysis code for Figure4 in the paper titled: "A rhythmically pulsing leaf-spring DNA-origami nanoengine that drives a passive follower".
Follow the readme file for deiails.
This research was completed to statistically validate that a data-model refinement technique could integrate real measurements to remove bias from physics-based models via changing the forcing parameters such as the thermal conductivity coefficients.
Ponder, B. M., Ridley, A. J., Goel, A., & Bernstein, D. S. (2023). Improving forecasting ability of GITM using data-driven model refinement. Space Weather, 21, e2022SW003290. https://doi.org/10.1029/2022SW003290
This is the model and observational data referenced in our manuscript entitled “surface and sub-subsurface internal gravity wave kinetic energy spectra from global ocean models and observations.” The model data for the 7 regions from the two global simulations (HYCOM and MITgcm) can be found here.
