Our data can be used by modeler to develop mathematical models to simulate and predict the fate and transport of the next-generation multifunctional carbon-based metal oxide nanohybrids in the subsurface environments. Furthermore, the data can also be employed to assess the potential environmental impacts and risks associated with the release and transport of carbon-based metal oxide nanohybrids in the subsurface under environmentally relevant physicochemical conditions. This dataset is associated with the following publication: Wang, D., C. Park, A. Masud, N. Aich, and C. Su. Carboxymethylcellulose Mediates the Transport of Carbon Nanotube-Magnetite Nanohybrid Aggregates in Water-Saturated Porous Media. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 12405-12415, (2017).

Additional information about the carboxylated SWCNT calibration curve, AFM images, EDS results, solar simulator light and UVB lamp spectra, TEM image of parent carboxylated SWCNTs, XPS spectra of the dark control P3 sample and the irradiated P3 sample, and a table summarizing the kinetic parameters (PDF). This dataset is associated with the following publication: Hou, W., C. He, Y. Wang, D. Wang, and R. Zepp. Phototransformation-Induced Aggregation of Functionalized Single-Walled Carbon Nanotubes: The Importance of Amorphous Carbon. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3494–3502, (2016).

The data involves a prediction of phototoxicities of nano-materials. The prediction is based on the calculated triplet excited states of fullerenols and single-walled carbon nanotubes. The model used is one previously published using actual phototoxicities of polynuclear aromatic hydrocarbons and their calculated triplet excited states. This dataset is associated with the following publication: Betowski, D. Predicted phototoxicities of carbon nano-material by quantum mechanical calculations. Journal of Molecular Graphics and Modelling. Elsevier B.V., Amsterdam, NETHERLANDS, 75: 102-105, (2017).

EPA Nanorelease Dataset. This dataset is associated with the following publication: Wohlleben, W., C. Kingston, J. Carter, E. Sahle-Demessie, S. Vazquez-Campos, B. Acrey, C. Chen, E. Walton, H. Egenolf, P. Muller, and R. Zepp. NanoRelease: Pilot interlaboratory comparison of a weathering protocol applied to resilient and labile polymers with and without embedded carbon nanotubes. CARBON. Pergamon Press Ltd., New York, NY, USA, 113: 346-360, (2017).

This dataset provides the Carbon Flux for Fires. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Excel files and text files with lab results and model time series output data. This dataset is associated with the following publication: Avant, B., D. Bouchard, H. Hsieh, Y. Han, J. Spear, R. Zepp, C. Knightes, X. Chang, and B. Acrey. Environmental fate of multiwalled carbon nanotubes and graphene oxide across different aquatic ecosystems. NanoImpact. Elsevier B.V., Amsterdam, NETHERLANDS, 13: 1-12, (2019).

This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data products for particle receptors co-located with atmospheric column observations from the TCCON ground network. Meteorological fields from the WRF model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio per surface flux, quantifies the influence of upwind surface fluxes on greenhouse gas concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. For each column observation location, the receptors are located at 23 discrete vertical levels throughout the atmospheric column. The CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.

The data set contains the details on the thermal degradation that takes place during 3D printing of acrylonitrile butadiene styrene both with and without carbon nanotubes. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. This dataset is associated with the following publication: Potter, P., S. Al-Abed, D. Lay, and S. Lomnicki. VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites during 3D Printing. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53: 4364-4370, (2019).

Relationships of temperature and CNT mass (SWCNT, MWCNT, MWCNT-COOH) were developed for three environmental matrices (sand, soil and sludge) spiked with known amounts of different types of CNTs that were then irradiated in a microwave at low energies (70-149 W) for a short time (15-30 sec). Temperature rises data were recorded for CNT loaded environmental samples with excess of inorganic/organic carbon and other carbonaceous nanomaterials (C60, GAC and GO). This dataset is associated with the following publication: He, Y., S. Al-Abed, and D. Dionysiou. Quantification of Carbon Nanotubes in Different Environmental Matrices by a Microwave Induced Heating Method. D. Barcelo, and Jay Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 580: 509-517, (2017).

Relationships of temperature and CNT mass (SWCNT, MWCNT, MWCNT-COOH) were developed for three environmental matrices (sand, soil and sludge) spiked with known amounts of different types of CNTs that were then irradiated in a microwave at low energies (70-149 W) for a short time (15-30 sec). Temperature rises data were recorded for CNT loaded environmental samples with excess of inorganic/organic carbon and other carbonaceous nanomaterials (C60, GAC and GO). This dataset is associated with the following publication: He, Y., S. Al-Abed, P. Potter, and D. Dionysios. Rapid and versatile pre-treatment for quantification of multi-walled carbon nanotubes in the environment using microwave-induced heating. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 26(14): 13999-14012, (2019).