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Data Management and Sharing Plan for: Relation of individual differences in fMRI-Assessed Satiation Signaling to Obesity Risk and Future Weight Gain
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
Family Demographics, Parent, Kindergarten, Early Education in Rural North Carolina, 2018
No full textThe Early Education in Rural North Carolina project was one of the 6 research sites in the Early Learning Network, investigating the impact of policy context surrounding a cohort of children as they progressed from prekindergarten through third grade in six rural counties. The North Carolina (NC) team focused on whether policies were aligned in ways to sustain learning across the early grades. This project collected semi-structured interviews, survey data from school and program administrators, observations, and content analysis of policy documents.
This record includes student, family, and household demographic data
Data Management and Sharing Plan for: Minibeam Radiation Therapy Enhanced Delivery of Nanoparticle Anticancer Agents to Pancreatic Cancer Tumors
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: Development of a contact-free assay to evaluate stored blood quality using ultrasound viscoelasticity techniques
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
Vaping-induced Oxidation of CBD Causes Adduction of TOP2A and Interferes with Cellular Proliferation
No full textDatasets used to generate the publication: "Vaping-induced Oxidation of CBD Causes Adduction of TOP2A and Interferes with Cellular Proliferation" by Love, C. A. et al. Included are raw counts for RNA-seq, RNA-seq differential expression results ("results" files), and GC-MS raw data. Code for RNA-Seq analysis can be found https://github.com/UNC-CEMALB/Vaping-induced-Oxidation-of-CBD-Causes-Adduction-of-TOP2A-and-Interferes-with-Cellular-Proliferation.git
Data Management and Sharing Plan for: Grandfather Mountain Drone
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
Supp Figure 5 Data
No full textIncludes all applicable data pertaining to Supplemental Figure 5. Representation of the effect of dose increase of stimulatory antibody on cell viability. Plate-bound CA17.6F9+5B8 and CA17.2A12+5B8 were used to stimulate PBMCs from three canine donors. On day 3 viability was evaluated. Data includes all applicable FCS and Prism files
CMAQ Model Versions 5.5 CRACMM2 Input Data -- 12/01/2022 - 12/31/2023 12km CONUS + Canada
No full textData SummaryCMAQv5.5 input data for the CRACMM2 chemical mechanism for a 12/22/2021 - 12/31/2022 simulation over the Continental US and Canada.
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.
Disclaimer: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.
See below for how to cite this data.File Location and Download Instructions
Link to emissions, initial, and boundary conditions input files for 2023 12US4 CRACMM2
Link to download instructions
This S3 buckets contain CMAQ-ready meteorology, emissions, initial, and boundary conditions input files suitable for running a simulation using the CRACMM2 (also compatible with CRACMM3) chemical mechanism. Full documentation on these inputs is available in the Supplemental Information of Pye et al. (2025). A brief overview is presented here.
Meteorology Inputs
Meteorology was generated with WRFv4.6.0 and processed by MCIP resulting in CMAQ-ready files that are located in the 2023_12US4/met directory. An evaluation of the meteorology, as html pages within a tar file, is available in 2023_12US4/meteval directory.
Emissions Inputs
Model-ready emissions inputs use CRACMM2 speciation and are available in the 2023_12US4/emis directory. Files linking representative day emissions to specific calendar days are provided in the 2023_12US4/smk_dates directory.
2023 CRACMM2 emissions largely follow the 2022 modeling platform inventory methods used to generate the data available from this AWS S3 bucket except for CRACMM2 VOC speciation (Skipper et al., 2024) and year-specific information when available including for fires. Note CRACMM2 changes how emissions inventories of primary organic aerosol (POA) are allocated to model species of different volatility and functionality. In CRACMM2, POA emissions are assigned to CRACMM species in S2S-Tool+SMOKE and present in the CMAQ-ready files with CRACMM names. The POA inventory is aligned with species of saturation concentrations of 100 µg/m3 and below as described by Pye et al. (2025). DESID should not be used to apply POA volatility profiles to emissions as they have already been applied upstream.
Year-specific retrospective Canada fire emissions inventories used in the ptfire_othna sector emissions inputs are available in the 2023_12US4/inven/ptfire_canada directory.
Daily county, province, or other jurisdiction emissions of PM2.5 from wood combustion in kg/day are provided in csv files available in the 2023_12US4/inven/woodcombustiontotals directory.
Boundary and Initial Conditions Inputs for 12US4 CMAQ CRACMM2 Simulation
Boundary conditions files are in the 2023_12US4/icbc/ directory.
An initial conditions file generated from typical vertical profile of concentrations distributed with CMAQ BCON is located in the 2023_12US4/icbc/ICON_v55_2023_12US4_prof2cracmm2 directory.
Boundary conditions were obtained from GEOS-CF and mapped to CRACMM using aqmbc (https://github.com/barronh/aqmbc). Data from GEOS-CF was downloaded for every three hours and regridded and mapped to the CMAQ domain.
Initial conditions are based on the profile distributed with CMAQv5.5 and mapped from CB6 to CRACMM using combine and the species definitions files from CMAQ.
Additional required inputs for CMAQ
In addition to these meteorology, emissions, initial, and boundary conditions files, users will also need certain other input files to perform a 2023 12US4 simulation of CMAQv5.5 using CRACMM. The following files are included with this 2023 data repository:
GRIDDESC grid description file for the 12US4 domain available here: 2023_12US4/GRIDDESC
Input files for land surface properties including ocean area for sea spray emissions, land use and other data for biogenic emissions, and Environmental Policy Integrated Climate (EPIC) outputs to drive ammonia bidirectional flux. Files are available in the 2023_12SU4/surface directory
Lightning NO emission input files based on lightning data from WWLLN. Files are available in the 2023_12US4/met/lightning directory.
Scripts and control files
Inputs here may be used in CMAQv5.5 or later versions with CRACMM2, CRACMM3, or CRACMM3HAPs. CRACMM2 and CRACMM3 emissions are fully cross-compatible.
For an example build script, run script, and control file for running CRACMM3HAPs see https://doi.org/10.5281/zenodo.16099070. The user may need to customize these files to work for other model mechanisms and versions. The run script can be configured for CRACMM3 or CRACMM2 by removing the explicit HAPs (see also https://github.com/USEPA/CMAQ).
Resources for setting up a CMAQ simulation
CMAQ benchmark tutorial for CRACMM2: describes how to prepare your Linux system for installing and running CMAQ.
File Format
The 2023 model inputs are stored as uncompressed netcdf formatted files using I/O API data structures. Information on the model projection and grid structure is contained in the header information of the netcdf files. 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).
CRACMM2 emissions are compatible with the CRACMM3 mechanism
No changes are needed to the DESID emissions rules for switching between CRACMM2 and CRACMM3. Note that the example scripts are for CRACMM3HAPs and some tracer emissions should be removed when using CRACMM2 and CRACMM3 (without HAPs).
Using these emissions in CRACMM1 requires minor adjustments following this guidance: https://usepa.github.io/CRACMM/emissions/README.html
Data Management and Sharing Plan for: Toward the Deconvolution of the Mechanism of Action (MoA) of Triptonide
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: Identifying interactions between metastatic breast cancer tumor cells and the lung Microenvironment
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