Dataset for: “Shifts in habitat use and demography of American lobsters in coastal Maine (USA) over the past quarter century”
Bibliographic record
Abstract
This is the dataset for the manuscript "Shifts in habitat, habitat use, and demography of American lobsters in coastal Maine over the past quarter century." Our study revisited 20 long-term monitored sites at 10 m depth along more than 320 km of the Gulf of Maine. Sampling used quadrat sampling via scuba divers. We recorded fundamental changes in lobster habitat use and distribution. The data include count, size, sex, number of claws, and shelter use of lobster in addition to substrate type, percent cover of kelp and other macroalgae. The data are included in six .csv format files: (1) data from 1993-1995, (2) 1996-2000, (3) 2019, (4) 2021, (5) study site locations revisited in 2019 and 2021, and (6) metadata describing the other files. Zipped folder containing datafiles is found in “Additional Files” at DigitalCommons@UMaine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.129 | 0.048 |
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".