Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “historical books”
Historical uncertainty in Gregory of Tours's History of the Franks (book 7)
<p>Our goal was to create a research dataset based on geographical and chronological uncertainties in the work of Gregory of Tours's *History of the Franks* (book 7). We used and modified a topology of geographical and chronological uncertainty based on a rudimentary schema that would be universal when analysing an historical source :</p> <p>Chronological :<br> * uncertain dating<br> * uncertain method of dating<br> * lack of dating<br> * precise dating</p> <p>Geographical: <br> * uncertain location<br> * general location (region, country)<br> * lack of location <br> * precise location</p> <p>After working on book 7 for a while, that schema was reworked as those 9 types of uncertainty : </p> <p>Chronological :<br> * uncertain_dating<br> * uncertain_method_dating<br> * event_dating_null<br> * precise_dating</p> <p>Geographical: <br> * uncertain_location<br> * general_location <br> * event_location_null<br> * uncertain_method_location<br> * precise_location</p> <p><br> The geographical and chronological focus makes it possible to identify where and when, in a source, the historical uncertainty is higher. </p> <p>Using python, that dataset was then automatically cleaned and enhanced with bounding box based on geo-mapping information for the entries of geographical uncertainty. Those were classified as either precise_location or general_location. </p> <p>For example, anything relating to a city general area (like "in the Rouen area") creates a general_location bounding box encompassing the *current* geographical space occupied by the municipality of Rouen (in the format 'LongMin', 'LongMax', 'LatMin', 'LatMax' in a single column "bbox"). Anything described as a unique point in space (like "in Paris") creates a precise_location and its corresponding lat/long system of coordinates. </p> <p>This is an arbitrary way to translate slightly undefined geographical concepts of uncertainty into formal data, but at least it can be fully explained explicitly.<br> </p> <p>Translation used: Tours G. <em>et alii</em>, <em>The history of the franks</em>, Penguin Books Limited, 1974, <a href="https://books.google.ch/books?id=4Lx-M2RHGgoC">https://books.google.ch/books?id=4Lx-M2RHGgoC</a>.</p>
Historical German Children's Playbooks - 6 Digitized Books with Images, OCR-Fulltext, and Named Entity Recognition
<p>The dataset consists of 6 digitized books with 1750 images and OCR-fulltext.</p> <p>Additionally, named entity recognition has been carried out on basis of flair's de-ner model, see https://github.com/flairNLP for details.</p>
Data for "Modular Bibliographical Profiling of Historic Book Reviews"
<p>This dataset supports the research paper, ""Modular Bibliographical Profiling of Historic Book Reviews." The paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews. The dataset is comprised of book reviews from ProQuest's American Periodicals Series (APS). This kind of bibliographical profiling is often characterized as a Natural Language Processing (NLP) or Named Entity Recognition (NER) task, but it can be more specifically described as a two-part Named Entity Linking (NEL) task, beginning with a feature extraction stage followed by one of several available matching or classification methods. An attempt has been made to formalize constraints for modular bibliographical profiling (MBP) and shed light on some important choices that are often glossed over or obscured by digital humanities (DH) practitioners. Applying these constraints, the paper evaluates combinations of feature selection (naive bag-of-words [BOW], rule-based feature extraction, and NER using a pre-trained model) with a standardized similarity-based matching strategy (cosine similarity). All tasks are performed on derived text data (term frequency tables), so that data can be shared and all methods can be used on materials available only in non-consumptive formats. These comparisons suggest that naive BOW can perform quite robustly, and that using even a basic pretrained NER model in conjunction with a BOW approach may reduce false positives. </p>
Generic Historical Hardback Book
Generic Historical Hardback Book. Low Poly PBR Game Asset. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.