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Figure 5
No full textFig. 5 Effects of 0.01% Intralipid on the efficacy of PDT in ovarian cancer cell lines. (a) Dose-response curves for OVCAR-3, Caov-3, OVCAR-8 and OVCAR-5 cells treated with PDT using 0.125 μM BPD alone (0%, gray) or with 0.01% Intralipid (purple), where BPD was incubated with cells for 90 min, and Intralipid was added prior and removed immediately after irradiation. (b) Dose-response curves under the same conditions as in (a), but and Intralipid were left in the plates for 72 h post-irradiation. (c) Effect of post-irradiation presence of PDT-exposed Intralipid at a 0.1 J/cm2 across the four cell lines
Town of Matthews North Carolina Vision Zero Safety Action Plan (2025). Matthews, North Carolina
No full textVision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context
Data Management and Sharing Plan for: Triggering Aberrant RNA Processing for RCC Therapy
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Safe Streets Arlington: Comprehensive Safety Action Plan. November 2024.
No full textVision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context
Data Management and Sharing Plan for: Targeting PEN-GPR83 as a as a strategy to reduce opioid abuse liability
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Composition and Function of Membrane Contact Sites in Differentiation and Disease
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Imaging hemostasis with fibrinolysis inhibitor
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: TBCRC-065: A Single-Arm, Phase II Study of Sequential Therapy with Curative Intent in de novo HER2+ Metastatic Breast Cancer: The SAPPHO study
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
CMAQ Model Version 5.4-5.5 CRACMM Input Data -- 1/1/2019 - 12/31/2019 12km CONUS
No full textData SummaryCMAQv5.4-5.5 input data for the CRACMM chemical mechanism for a 01/01/2019 - 12/31/2019 simulation over the Continental US.
Note: The datasets are part of the CMAS Center Amazon Web Services (AWS) Open Data Program and are saved in an AWS S3 bucket. The metadata associated with this DOI contain the link to the S3 bucket and instructions for downloading the data.File Location and Download Instructions
Link to CRACMM specific input files for 2019_12US1 case
Link to download instructions
Additional required inputs for CMAQ
Link to additional EQUATES 2019 meteorology and mechanism-independent CMAQ inputs
This S3 bucket contains CMAQ-ready input files suitable for running a simulation using the CRACMM chemical mechanism at 12 km horizontal resolution over the continental U.S. This time period includes the summertime Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) field campaign (https://csl.noaa.gov/projects/firex-aq/).
Recommended citations
For traceability, please cite use of these inputs with the dataset doi of 10.15139/S3/WZNGQB for CRACMM speciation and https://doi.org/10.15139/S3/F2KJSK for EQUATES meteorology. For method documentation, please cite at least one of the following CMAQ-CRACMM publications that best matches your usage of the data:
Pye et al. (2023): CRACMM1 emission speciation methods
Vannucci et al. (2024): Application of CRACMM to 2019 summertime with a focus on PM2.5
Pye et al. (2024): Application of CRACMM to FIREX-AQ and wildfire smoke
Skipper et al. (2024): CRACMM version 2, formaldehyde, and application to 2019
In addition to one of the above manuscripts, please cite Foley et al. (2023) for EQUATES emission activity methods.
A note on versions: While originally prepared for CMAQv5.4 and CRACMM1, the runscript and DESID control file inputs provided are configured for CMAQv5.5 and CRACMM2. Emission, boundary condition, and initial condition inputs can be used with older versions of CRACMM (CRACMM1 or CRACMM1AMORE) and CMAQ (v5.4) with small adjustments in the DESID control file. CRACMM version 1 uses XYL and XYE for xylene-like aromatics while CRACMM2 recasts these species as STY (about 7% of XYM), XYL (about 70% of XYE + 93% of XYM), and EBZ (about 30% of XYE) (See Skipper et al., 2024). For any new simulation, review the main log file and at least one processor log for warnings about emitted species that are used or not used during the simulation. These warnings could indicate DESID control files are not customized to the emission inputs.
The following inputs are needed for a 2019 12US1 simulation of CMAQ with CRACMM:
Model-ready emissions inputs using CRACMM speciation are located under cmaq-2019-modeling-platform/CMAQv53_TS/2019_12US1/emis/cracmmv1_20220923/
BC and IC files are located under cmaq-2019-modeling-platform/CMAQv53_TS/2019_12US1/icbc/
Sample 2019 runscript and DESID control files are included in the cmaq-2019-modeling-platform/CMAQv53_TS/2019_12US1/scripts folder
Note: The cmaq-2019-modeling-platform/CMAQv53_TS/2019_12US1/epic/ folder contains files needed for calculating bidirectional ammonia exchange.
Resources for setting up a CMAQ simulation
CMAQ benchmark tutorial (describes how to prepare your Linux system for installing and running CMAQ)
File FormatThe 2019 model input are stored as netcdf/hdf5 formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on the model projection and grid structure is contained in the header information of the netcdf file. The netcdf files can be opened and manipulated using I/O API utilities (e.g. M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (e.g. Fortran, R, Python).h3>Emissions Inputs
2019 emission activity follows methods of the EQUATES project with chemical speciation updated to be compatible with the CRACMMv1.0 mechanism. Note that emissions of primary organic aerosol (POA) are represented on the emission input files as the species PMNCOMN2 and PMOCN2 for the non-carbon and carbon components. The DESID control files provided as sample scripts reallocate these two POA species into a series of semivolatile species at runtime.
Lightning NO: lightning NO estimated online in CMAQ using NLDN lightning flash data
Biogenics: BEIS model run online in CMAQ with BELD5 land use data
Boundary Condition Inputs for 12US1 CMAQ Simulation
Hourly values from EQUATES CB6r3_ae7 simulation over the Northern Hemisphere mapped to CRACMM
Initial conditions for 12US1 CMAQ Simulation
Select chemical initial conditions for 4 times of year mapped from an EQUATES cb6r3_ae7 simulation. Use of these initial conditions requires a spinup period prior to the time period of analysis. A minimum of 10 days and ideally a month is recommended for spinup due to the mismatch in chemical mechanisms in the ICON files vs a CMAQ-CRACMM simulation.
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NEMO 1km Emissions Data for CONUS 2017
No full textNeighborhood Emission Mapping Operation (NEMO), is an anthropogenic emission dataset over CONUS based on the United States Environmental Protection Agency (US EPA) National Emission Inventories 2017. The fine-scale spatial allocation was achieved through distributing the emission sources using 108 spatial surrogates, factors representing the portion of a source in each 1 km grid. It is produced at hourly intervals for four representative days (Saturday, Sunday, Monday, and other weekdays) each month. Gaseous and particulate pollutants are speciated into model species for the Carbon Bond 6 chemical mechanism. Sources, including nonpoint sources, onroad and nonroad mobile sources, and nonelevated point sources, are grouped in 9 sectors. The hourly and monthly emissions data are stored in NetCDF format and the annual emissions are in shapefile format. A publication describing this dataset is available at: Neighborhood Emission Mapping Operation (NEMO): A 1-km anthropogenic emission dataset in the United States
Please see the following form to download this data:
NEMO Data Request Form</a