This dataset contains sampling and genetic accession information for single-cell transcriptomic data from bottle samples collected with CTD profiles (BCO-DMO dataset doi:10.26008/1912/bco-dmo.879380.1) and also from shore-based tide pool collections. Bottle samples were collected with R/V Connecticut in the Long Island Sound on 14-15 June 2022. Individual ciliates were picked for sequencing. Single-cell transcriptomes were based on poly-A selected gene sequences from individual ciliates that...
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See the "Related Datasets" section for methods and data from additional datasets from this study (CTD profile data and marine metabarcoding data).
The Single-cell transcriptomics dataset (988253) and metabarcoding dataset (988266) are the omics data associated with the collections from the CTD dataset (879380). Both omics datasets used the same bottle samples collected with the CTD profiles.
The Single-cell transcriptomics dataset (988253) and metabarcoding dataset (988266) are the omics data associated with the collections from the CTD dataset (879380). Both omics datasets used the same bottle samples collected with the CTD profiles.
BioProject for transcriptome accessions (one of two BioProjects for transcriptomes)
The Bioproject containing the Sequence Read Archive (SRA) sequence accessions included in the transcriptome data table.
Amplicon = communities collected on filters at varying sizes and amplified using primers as described in Grow et al. (2023)
Transcriptomes: single-cell amplification of polyA transcripts as described in Shazib et al (2025)
Scripts developed under this study to analyze the NCBI data can be found at the GitHub (see Wiki https://github.com/Katzlab/EukPhylo/wiki), with versions of scripts developed through this project from 2020-2024. A full version of EukPhylo version 1 i...
Katz, L. A. (2025). Single-cell transcriptomic data from ciliates isolated in New England waters between 2019 and 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-11-04 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/988253 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.