Medical CT data of unopened transport containers from the German Tendaguru Expedition 1909-1913
Bibliographic record
Abstract
In this dataset, 40 bamboo corset and 6 wooden crates from the German Tendaguru Expedition, originally packed and unopened, are presented by their computed tomographic data. The German Tendaguru Expedition (GTE) was led by members of the Museum fuer Naturkunde with the aim to exploit a rich Late Jurassic (ca. 150 MA) fossil deposit in Southern Tanzania, then the German colony Deutsch Ostafrika. The Tendaguru locality yielded one of the most important dinosaur faunas of the Late Jurassic so far. It was very well documented and, because of its colonial background and the intense contribution of about 500 Tanzanian workers, receives high interest not only from the paleontological side, but also for historical studies. However, whereas most of the material has been prepared and properly curated and described, there is still a number of unopened transport containers in the fossil vertebrate collection of the Museum für Naturkunde Berlin, which were now studied virtually via their computed tomographic scans. The computed tomography was achieved both at the Institute for Zoo- and Wildlife Research (IZW) Berlin, and the Charité. The dataset contains the original DICOM data from these scans for download and study, and a movie of each transport container with the digitally prepared specimens. Most of the bamboo corsets and boxes contained vertebrae, girdle and limb bones of the small ornithopod dinosaur Dysalotosaurus lettowvorbecki, but there were also rare finds of the thyreophoran dinosaur Kentrosaurus aethiopicus and different sauropod dinosaurs. The results of the CT scans and the documentation of the content of the unopened containers from Tendaguru are used to supplement the inventory of material from this locality, to define priorities for future preparation, but also to document field practices under colonial condition and therefore serve as an archive also for historical studies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.081 | 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".