Datasets for article in CARBON: Spatial dependence of the growth of polycyclic aromatic compounds in an ethylene counterflow flame.
The experiment VUV-AMS measurements ("VUV_AMS_C2H4_Counterflow.txt") consists aerosol mass spectra data from an atmospheric-pressure ethylene/oxygen/argon counterflow diffusion flame described in Johansson et al., Proc. Combust. Inst. 36, 799-806 (2017) doi:10.1016/j.proci.2016.07.130., The experiment VUV-MBMS measurements ("VUV_MBMS_C2H4_Counterflow.txt") consists gas-phase data from an atmospheric-pressure ethylene/oxygen/argon counterflow diffusion flame described in Johansson et al., Proc. Combust. Inst. 36, 799-806 (2017) doi:10.1016/j.proci.2016.07.130., 2D CFD simulation results by KAUST mechanism II ("CFD_KM2_results.xlsx") consists stabilized CFD gas-phase species profiles along different x,y,z coordinates. Species are given by mole fractions., The SNapS2 simulation results ("SNapS2_results.zip") consist streamline I (from fuel side), i (from oxidizer side), and middle (DFFO = 5.0mm) for producing results in Fig. 5, Fig. 6, and Table 1. Three folders under each streamline ("C5H6", "C6H5CH3", and "C6H6") represent simulations by using different seeds (cyclopentadiene, toluene, and benzene respectively). The text files inside each folder are a single trace (time-history) for one SNapS2 simulation. Text file name consists "starting time"+"."+"simulation number"+".txt". For example 0.041.25.txt meaning the 25th simulation starting at 0.041s. Four columns inside the text files represent time, molecular mass, reaction index, and SMILES (Simplified molecular-input line-entry system) of the molecule., and Data citation: Wang, Q., Elvati, P., Kim, D., Johansson, K.O., Schrader, P.E., Michelsen, H.A., Violi, A. (2019). Spatial dependence of the growth of polycyclic aromatic compounds in an ethylene counterflow flame: experimental measurements and simulation results [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/69e6-cd20
Citation to related publication:
Wang, Q., Elvati, P., Kim, D., Johansson, K.O., Schrader, P.E., Michelsen, H.A., Violi, A., 2019. Spatial dependence of the growth of polycyclic aromatic compounds in an ethylene counterflow flame. Carbon 149, 328–335. https://doi.org/10.1016/j.carbon.2019.03.017
The modeling research conducted to produce this dataset focuses on the solar wind dynamic pressure drop events and how they affect the Earth's intrinsically coupled Magnetosphere, Ionosphere and Thermosphere systems. This study specifically focuses on the 11 June 2017 event, where the solar wind dynamic pressure dropped significantly following a period of higher pressure. We model the response to this pressure drop using University of Michigan Space Weather Modeling Framework ( http://csem.engin.umich.edu/tools/swmf/). The simulation results were created using BATS-R-US and GITM models. The observational data required for model comparisons were taken from OMNI ( https://omniweb.gsfc.nasa.gov) and CDAWeb ( https://cdaweb.gsfc.nasa.gov/sp_phys/) Databases.
Ozturk, D. S., Zou, S., Slavin, J. A., & Ridley, A. J. ( 2019). Response of the geospace system to the solar wind dynamic pressure decrease on 11 June 2017: Numerical models and observations. Journal of Geophysical Research: Space Physics, 124, 2613– 2627. https://doi.org/10.1029/2018JA026315
This work contains the experimental data and associated analysis that are described in the research publication entitled "Ultra-specific and Amplification-free Quantification of Mutant DNA by Single-molecule Kinetic Fingerprinting". This work contains multiple zip files, each of which represents one of the principal experiment groups presented in the publication. Each experiment group contains movie and analysis files corresponding to various experimental conditions related to that experiment group.
The data corresponds to outputs from the Mars Global Ionosphere Thermosphere Model (M-GITM), the multi-species magnetohydrodynamics (MS-MHD) and multi-fluid magnetohydrodynamics (MF-MHD) codes used during the study presented in "Multi-species and multi-fluid MHD approaches for the study of ionospheric escape at Mars" by Regoli et al. and Dataset citation:
Regoli, L.H. (2018). Model outputs for "Multi-species and multi-fluid MHD approaches for the study of
ionospheric escape at Mars" [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/Z2GH9G49
Regoli, L.H., Dong, C., Ma, Y.J., Dubinin, E., Manchester, W.B., Bougher, S.W., & Welling, D.T. (2018). Multispecies and multifluid MHD approaches for the study of ionospheric escape at Mars. Journal of Geophysical Research: Space Physics, 123. https://doi.org/10.1029/2017JA025117
Included are RegCM simulations driven by three different types of boundary conditions 1. ERA - present day only (1979-2005) 2. GFDL - present day (1978-2005) and future (2041-2065) 3. HadGEM - present day (1978-2005) and future (2041-2065) Each directory has three files with monthly averaged values: ATM: includes 4D (t,z,y,x) atmospheric fields (pressure, winds, temperature, specific humidity, cloud water) and some 3D fields (t,y,x) precipitation, soil temperature, soil water SRF: includes 3D (t,y,x) surface variables (surface pressure, 10m winds, drag coefficient, surface temperature, 2m air temperature, soil moisture, precipitation, runoff, snow, sensible heat flux, latent heat flux, surface radiation components (SW, LW), PBL height, albedo, sunshine duration) RAD: includes 4D radiative transfer variables (SW and LW heating, TOA fluxes, cloud fraction, ice water content) clm_h0 files: CLM land surface files, includes canopy variables, surface fluxes, soil moisture by layers, etc. "
Bryan, A. M., A. L. Steiner, and D. J. Posselt (2015), Regional modeling of surface-atmosphere interactions and their impact on Great Lakes hydroclimate, J. Geophys. Res. Atmos., 120, 1044–1064. https://doi.org/10.1002/2014JD022316
Details of the microphone used for data collection, acoustic environment in which data was collected, and naming convention used are provided here.
1 - Microphones Used:
The microphones used to collect this dataset belong to 7 different trademarks. Table (1) illustrates the number of used Mics of different trademarks and models.
Table 1: Trademarks and models of Mics
Mic Trademark Mic Model # of Mics
Shure SM-58 3
Electro-Voice RE-20 2
Sennheiser MD-421 3
AKG C 451 2
AKG C 3000 B 2
Neumann KM184 2
Coles 4038 2
The t.bone MB88U 6
Total 22
2- Environment Description:
A brief description of the 6 environments in which the dataset was collected is presented here:
(i) Soundproof room: a small room (nearly 1.5m × 1.5m × 2m), which is closed and completely isolated. With an exception of a small window in the front side of the room which is made of glass, all the walls of the room are made of wood and covered by a layer of sponge from the inner side, and the floor is covered by carpet.
(ii) Class room: standard class room (6m × 5m × 3m).
(iii) Lab: small lab (4m × 4m × 3m). All the walls are made of glasses and the floor is covered by carpet. The lab contains 9 computers.
(iv) Stairs: is in the second floor. The place of recording is 3m × 5m
(v) Parking: is the college parking.
(vi) Garden: is an open space outside the buildings.
3- Naming Convention:
This set of rules were followed as a naming convention to give each file in the dataset a unique name:
(i) The file name is 19 characters long, and consists of 5 sections separated by underscores.
(ii) The first section is of 3 characters indicates the Microphone trademark.
(iii) The second section of 4 characters indicates the microphone model as in table (2).
(iv) The third section of 2 characters indicates a specific microphone within a set of microphones of the same trademark and model, since we have more than one microphone of the same trademark and model.
(v) The fourth section of 2 characters indicates the environment, where
Soundproof room --> 01
Class room --> 02
Lab --> 03
Stairs --> 04
Parking --> 05
Garden --> 06
(vi) The fifth section of 2 characters indicates the language, where
Arabic --> 01
English --> 02
Chinese --> 03
Indonesian --> 04
(vii) The sixth section of 2 characters indicates the speaker.
Table 2: Microphones Naming Criteria
Original Mic Trademark and model --> Naming Convenient
Shure SM-58 --> SHU_0058
Electro-Voice RE-20 --> ELE_0020
Sennheiser MD-421 --> SEN_0421
AKG C 451 --> AKG_0451
AKG C 3000 B --> AKG_3000
Neumann KM184 --> NEU_0184
Coles 4038 --> COL_4038
The t.bone MB88U --> TBO_0088
For example: SEN_0421_02_01_02_03 is an English file recorded by speaker number 3 in the soundproof room using microphone number 2 of Sennheiser MD-421
Muhammad Khurram Khan, Mohammed Zakariah, Hafiz Malik & Kim-Kwang Raymond Choo (2018). A novel audio forensic data-set for digital multimedia forensics, Australian Journal of Forensic Sciences, 50:5, 525-542, http://dx.doi.org/10.1080/00450618.2017.1296186
This collection represents various raw data and analysis of cores extracted during the January 2009 mission of the research vessel Sproul in the Santa Barbara Basin., Cores included: box core SPR0901-04BC, box core SPR0901-unnamed, and Kasten core SPR0901-03KC. Core photos, physical properties and magnetic susceptibility from the multisensor track (MST), and the scanning X-ray fluorescence (XRF) data are included in the collection., and Cruise DOI: 10.7284/901089
This research is funded by NSF-OCE 0752093.
This collection contains estimates of the water balance of the Laurentian Great Lakes that were produced by the Large Lakes Statistical Water Balance Model (L2SWBM). Each data set has a different configuration and was used as the supplementary for a published peer-reviewed article (see "Citations to related material" section in the metadata of individual data sets). The key variables that were estimated by the L2SWBM are (1) over-lake precipitation, (2) over-lake evaporation, (3) lateral runoff, (4) connecting-channel outflows, (5) diversions, and (6) predictive changes in lake storage. and Contact: Andrew Gronewold
Office: 4040 Dana
Phone: (734) 764-6286
Email: drewgron@umich.edu
Smith, J. P., & Gronewold, A. D. (2017). Development and analysis of a Bayesian water balance model for large lake systems. arXiv preprint arXiv:1710.10161., Gronewold, A. D., Smith, J. P., Read, L., & Crooks, J. L. (2020). Reconciling the water balance of large lake systems. Advances in Water Resources, 103505., and Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (under revision)
This collection represents various raw data and analysis of cores extracted during the November 2008 mission of R/V Melville in the Santa Barbara Basin., The core included is the jumbo piston core MV0811-14JC. Core photos, physical properties and magnetic susceptibility from the multisensor track (MST), and the scanning X-ray fluorescence (XRF) data are included in the collection., and Cruise DOI: 10.7284/903459
The research is funded by NSF OCE-1304327.