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Data · dataset · 2019

Photographic repository and RTI imaging of paleopathological lesions in fetal and perinatal human remains

Listed in DATADOI

This repository does not include all the 43 specimens of the sample.

Description

The dataset was created with the specific purpose of showing in the most detailed way possible the lesions related to metabolic disease discovered in this sample, with the hope of being of aid to any other operator working with infantile human remains in the future. Therefore, a thorough selection of the specimens and of the lesions to be recorded and photographed was conducted. 9 standard light directions, obtained from the dome, were selected for this preliminary work.

These are the zenith direction (90° above the specimen), the principal cardinal points (above, below, left and right), and intermediate light directions (upper-right, upper-left, lower-right, lower-left). In addition, two standard RTI rendering modes were adopted (Specular Enhancement and Normal Visualization). For any query, or to request pictures of other specimens, please contact the corresponding author.

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This repository is a further step in the study of perinatal metabolic disease patterns. The paleopathological findings of six child burials discovered in the Medieval and Early Modern cemetery of St Jacob (Tartu, Estonia) are reported using standard photography and Reflectance Transformation Imaging (RTI). This is the first time RTI is used on human remains with the specific aim of examining pathological lesions of the bone.

This photographic material is associated to the paper "Hunger, disease and subtle lesions: investigating infant systemic metabolic disease in osteological material from 13th-15th century Tartu, Estonia", and is also part of a larger research project focused on the use of RTI imaging in paleopathology. This photographic collection adds to the number of changes that can be identified in immature skeletal remains, serving as a model for future research.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Other
From keywords
Medicine & Health
Inferred from text
Disease 75% · Imaging 75% · Medical biochemistry and metabolomics 71%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DATADOIdoi:10.15155/RE-6110 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · datadoi eekeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3205enrichment · datadoi eetaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].dataverse_subject:othersource · datadoi eeconnector:datadoi_ee@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · datadoi eeconnector:datadoi_ee@1.0.0/subjects
concepts[modality].local:modality:imagingenrichment · datadoi eekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · datadoi eeconnector:datadoi_ee@1.0.0
descriptionsource · datadoi eeconnector:datadoi_ee@1.0.0/description
publication_datesource · datadoi eeconnector:datadoi_ee@1.0.0
titlesource · datadoi eeconnector:datadoi_ee@1.0.0/name
updated_datesource · datadoi eeconnector:datadoi_ee@1.0.0
version_labelsource · datadoi eeconnector:datadoi_ee@1.0.0