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DNA sequencing raw data and analytical results by bioinformatics for column study on algal roganic matter impact.
The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Jeon, Y., l. li, J. Calvillo, H. Ryu, J. Santo Domingo, O. Choi, J. Brown, and Y. Seo. Impact of algal organic matter on the performance, cyanotoxin removal, and biofilms of biologically-active filtration systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 184: 116120, (2020).
연관 데이터
DNA sequencing raw data and analytical results by bioinformatics for column study on algal roganic matter impact.
공공데이터포털
The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Jeon, Y., l. li, J. Calvillo, H. Ryu, J. Santo Domingo, O. Choi, J. Brown, and Y. Seo. Impact of algal organic matter on the performance, cyanotoxin removal, and biofilms of biologically-active filtration systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 184: 116120, (2020).
Metadata for biofilm samples and their DNA concentrations
공공데이터포털
The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Li, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).
Metadata for biofilm samples and their DNA concentrations
공공데이터포털
The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Li, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).
metadata
공공데이터포털
The dataset consists of public domain acute and chronic toxicity and chemistry data for algal species. Data are accessible at: https://envirotoxdatabase.org/ Data include algal species, chemical identification, and the concentrations that do and do not affect algal growth.
metadata
공공데이터포털
The dataset consists of public domain acute and chronic toxicity and chemistry data for algal species. Data are accessible at: https://envirotoxdatabase.org/ Data include algal species, chemical identification, and the concentrations that do and do not affect algal growth.
Microplastics in the Alplaus Kill at Glenridge, NY (01355470), 2018-2019
공공데이터포털
This dataset enumerates the type, size, and color of microplastic particles collected every two weeks from the Alplaus Kill at Glenridge Road in Schenectady, NY (01355470) between November 2018 and December 2019. Ancillary data include stream discharge, sampling net dimensions, and stream velocity. Sampling and analytical methodology are described in the metadata.
Bacterial community on biofilms from MAIFAS reactors
공공데이터포털
Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).
Bacterial community on biofilms from MAIFAS reactors
공공데이터포털
Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).
Physical and biological data collected along the Texas, Mississippi, Alabama, and Florida Gulf coasts in the Gulf of Mexico as part of the Harmful Algal BloomS Observing System from 1953-08-19 to 2024-03-25 (NCEI Accession 0120767)
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HABSOS (Harmful Algal BloomS Observing System) is a data collection and distribution system for harmful algal bloom (HAB) information in the Gulf of Mexico. The goal of HABSOS is to provide environmental managers, scientists, and the public with a data driven resource for HAB events. Cell counts and environmental information are combined into a single product and distributed using the HABSOS Mapping System. HABSOS strives to provide the most accurate picture of harmful algal bloom location and quantity by using the latest sample data available. This dataset contains data from Texas, Mississippi, Alabama, and Florida, as well as data along the Florida Shelf in the Gulf of Mexico and along the eastern coast of Florida in the North Atlantic Ocean.
EPA-Generated Data for Banerji et al. Ecological Role of MC
공공데이터포털
Data used to generate Figures 2, 3, and 4 as we ll as Table 3. This dataset is associated with the following publication: Banerji, A., M. Bagley, J. Shoemaker, D. Tettenhorst, C. Nietch, J. Allen, and J. Santodomingo. Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data. Harmful Algae. Elsevier B.V., Amsterdam, NETHERLANDS, 86: 84-95, (2019).