The Index to Marine and Lacustrine Geological Samples (IMLGS): Sample Once, Use Many Times
Bibliographic record
Abstract
The Index to Marine and Lacustrine Geological Samples (IMLGS) is a long-standing, community designed and maintained resource that enables researchers to discover and access (i) digital geological data gleaned from seabed and lakebed geological samples collected worldwide as well as (ii) the actual physical samples underlying the digital data and curated at partner institutions. As of July 2023, the IMLGS database contains data and information from 228,785 samples submitted over the years by 30 entities representing the U.S., Canada, France, Germany, and the United Kingdom. Using an agreed upon metadata, including a controlled set of vocabularies, Curators submit data and information to NCEI, whereupon sample data, after passing through a series of quality control measures, are ingested into the IMLGS database. Data are subsequently made discoverable and accessible to the public through the web-accessible IMLGS map viewer, which presents a map interface that enables users to find, preview, and download data from the IMLGS database, and other linked resources if available. The IMLGS map viewer provides the user four main approaches for querying the database: (i) selecting an individual sample on the map interface; (ii) conducting a search through the sample control panel; (iii) drawing a bounding box around a group of samples on the map interface; and (iv) selecting the “Table View” feature for a tabular list of sample information. These four main approaches for querying the database can be combined in a number of ways at the preference of the user, ultimately landing the user at a sample's Sample Detail page, where all data and information about a sample can be evaluated. If the user determines they would like access to a physical sample(s) for their own research, the user can then locate the contact information of the repository curating the sample(s) of interest from the “Repository” link on Sample Detail page and request access.
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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.077 |
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".