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Resources

The CREST Center for Aquatic Chemistry and Environment promotes interdisciplinary collaboration within FIU and beyond, to address the local and regional issues of environmental contamination. Over the course of this project, CREST CAChE will provide various tools to aid both internal and external partners in this collaborative work.

The Resources page will serve as a portal to the Center’s products and outcomes, including information from the original CREST CAChE proposal, presentation slides about the Center and its projects, application information for interested students, funding forms for current participants, citation information, research publications, and project databases.

Only CREST-supported students may apply to receive additional funding for travel, supplies, etc.

Facilities & Equipment

CREST CAChE provides computer stations, labs and workspaces on both the Modesto Maidique and Biscayne Bay Campuses at Florida International University, which are available to all affiliated students, postdocs, faculty and staff.

The Center also operates the CAChE Nutrient Analysis Lab, which represents three distinct services; first, it serves as a NELAC-accredited nutrient analysis laboratory to directly support research; second, it contains a dedicated student area for education and training related to traditional water quality analyses; and finally, it provides a space where students and faculty can work to improve or innovate technologies, and develop alternative or novel techniques.

Research & Development Lab (MMC: ECS-158)

  • YSI research buoys
  • Handheld YSI sonde
  • Field laptops/tablets
  • HOBO water level loggers
  • GoPro field cameras

Data Synthesis & Visualization Lab (MMC: OE-112)

  • Computer stations, including:
    • 43" 4K monitor
    • dual 27" monitors
  • ARC GIS software
  • Molgen software

CREST CAChE Biscayne Bay Offices (BBC: AC1-331)

  • Computer stations
  • Science drones
  • GoPro Field Cameras
  • Office supplies
  • Student library

Publications

Benigni, P., K. Sandoval, C.J. Thompson, M.E. Ridgeway, M.A. Park, P. Gardinali, F. Fernandez-Lima. 2017. Analysis of Photoirradiated Water Accommodated Fractions of Crude Oils Using Tandem TIMS and FT-ICR MS. Environmental Science & Technology 51 (11), 5978-5988.

Flower, H., M. Rains, D. Lewis, J. Zhang, and R. Price. 2016. Saltwater intrusion as potential driver of phosphorus release from limestone bedrock in a coastal aquifer. Estuarine, Coastal and Shelf Science 184, 166-176.

Gonzalez-Raymat, H., G.L. Liu, C. Liriano, Y.B. Li, Y.G. Yin, J.B. Shi, G.B. Jiang, Y. Cai. 2017. Elemental mercury: Its unique properties affect its behavior and fate in the environment. Environmental Pollution 229, 69-86.

Gonzalez-Romero, R., V. Suarez-Ulloa, J. Rodriguez-Casariego, D. Garcia-Souto, G. Diaz, A. Smith, J. J. Pasantes, G. Rand, J. M. Eirin-Lopez. 2017. Effects of Florida Red Tides on histone variant expression and DNA methylation in the Eastern oyster Crassostrea virginica. Aquatic Toxicology 186, 196–204.

Pouyanfar, S., and Chen, S.C. 2017. T-LRA: Trend-based Learning Rate Annealing for Deep Neural Networks. IEEE Third International Conference on Multimedia Big Data, 50-57.

Prego-Faraldo, M.V., L.R. Vieira, J.M. Eirin-Lopez, J. M!endez, L. Guilhermino. 2017. Transcriptional and biochemical analysis of antioxidant enzymes in the mussel Mytilus galloprovincialis during experimental exposures to the toxic dinoflagellate Prorocentrum lima. Marine Environmental Research 129, 304-315.

Rivera-Casas, C., R. Gonzalez-Romero, R.A. Garduño, M.S. Cheema, J. Ausio, J.M. Eirin-Lopez. 2017. Molecular and Biochemical Methods Useful for the Epigenetic Characterization of Chromatin-Associated Proteins in Bivalve Molluscs. Frontiers in Pysiology 8 (490).

Tian, H.M., and Chen, S.C. 2017. MCA-NN: Multiple Correspondence Analysis based Neural Network for Disaster Information Detection. IEEE Third International Conference on Multimedia Big Data, 268-275.

Logos

Here are the different variations of our standardized CREST CAChE logos, plus a guide on how to acknowledge NSF and more in all CREST-supported posters and/or presentations: Poster/Presentation Acknowledgment Guidelines