COI amplicon sequence data of environmental DNA collected from the Bronx River Estuary, New York City
Bibliographic record
Abstract
In this data paper, we describe environmental DNA (eDNA) cytochrome c oxidase (COI) amplicon sequence data from New York City’s Bronx River Estuary. As urban systems continue to expand, describing and monitoring their biodiversity is increasingly important for sustainability. Once polluted and overexploited, New York City’s Bronx River Estuary is undergoing revitalization and restoration. To investigate and characterize the area’s diversity, we collected and sequenced river sediment and surface water samples from Hunts Point Riverside and Soundview Parks (ntotal = 48; nsediment = 25; nwater = 23). COI analysis using universal primers mlCOIintF and jgHCO2198 detected 27,328 Amplicon Sequence Variants (ASVs) from 7,653,541 sequences, and rarefaction curves reached asymptotes indicating sufficient sampling depth. Of these, eukaryotes represented 9,841ASVs from 3,562,254 sequences. At the study sites over the sampling period, community composition varied by substrate (river sediment versus surface water) and with water temperature, but not pH. The three most common phyla were Bacillariophyta (diatoms), Annelida (segmented worms), and Ochrophyta (e.g. brown and golden algae). Of the eukaryotic ASVs, we identified 614 (6.2%) to species level, including several dinoflagellates linked to Harmful Algal Blooms such as Heterocapsa spp., as well as the invasive amphipod Grandidierella japonica. The analysis detected common bivalves including blue (Mytilus edulis) and ribbed (Geukensia demissa) mussels, as well as soft-shell clams (Mya arenaria), in addition to Eastern oysters (Crassostrea virginica) that are being reintroduced to the area. Fish species undergoing restoration such as river herring (Alosa pseudoharengus, A. aestivalis) failed to be identified, although relatively common fish including Atlantic silversides (Menidia menidia), menhaden (Brevoortia tyrannus), striped bass (Morone saxatilis), and mummichogs (Fundulus heteroclitus) were found. The data highlight the utility of eDNA metabarcoding for analyzing urban estuarine biodiversity and provide a baseline for future work in the area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".