Seawater carbonate chemistry and normalised phospholipidome profile of and metadata associated with the abdomen muscle of female Northern shrimp Pandalus borealis collected in the wild from four geogr
Bibliographic record
Abstract
The dataset contains information on the phospholipidome profile of the abdomen muscle of female Northern shrimp Pandalus borealis collected in the wild from four geographic origins in the Northwest Atlantic: St. Lawrence Estuary (SLE; 48° 35' N, 68° 35' W, May 2018; Event SLE_Pandalus_2018), Eastern Scotian Shelf (ESS; 45° 23' N, 61° 04' W, February 2019; Event ESS_Pandalus_2019), Esquiman Channel (EC; 50° 44' N, 57°29' W, July 2019; Event EC_Pandalus_2019) and Northeast Newfoundland Coast (NNC; 50° 18' N, 54° 16' W, November 2019, Event NNC_Pandalus_2019). Female shrimp were exposed for 30 days under laboratory conditions to several ocean global change scenarios, with three temperatures (low temperature of 2 °C, intermediate temperature of 6 °C, and elevated temperature of 10 °C) and pH (current pH 7.75 and low pH 7.40). This experiment aimed to determine the changes in the phospholipidome profiles of shrimp from different origins in response to different scenarios of future ocean global changes combining Ocean Warming (OW) and Ocean Acidification (OA) and low dissolved oxygen (DO). Phospholipid species were quantified in abdomen muscle of female shrimp using high-resolution HILIC-MS/MS. Several datasets are provided, containing (i) the raw data expressed as peak area, (ii) the peak area data recalibrated to the internal standards for each class of phospholipid, and (iii) the final normalised data following transformation using ordered quantile normalisation, along with (iv) the metadata associated with abdomen muscle samples. A total of 269 phospholipids were identified and quantified from 260 female shrimp, with 10 shrimp per treatment exposed sampled from two tanks per treatment (5 shrimp in each). Phospholipid peak areas determined using Xcalibur data system v3.3 (Thermo Fisher Scientific, USA). Shrimp that molted/died during respirometry experiments were excluded from the analysis. Shrimp that were exposed to low DO were removed from the dataset prior to data transformation and downstream statistical analysis, but the raw data is provided.This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from the PANGAEA dataset (see Source). In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2025-07-09.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".