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.
887
datasets available to search
ShareScore release 0.9.0
Dataset results
887 results for “British”
British Library Books genre detection model
<p><strong>Model description</strong></p> <p>This model is intended to predict, from the title of a book, whether it is 'fiction' or 'non-fiction'.</p> <p>This model was trained on data created from the <a href="https://www.bl.uk/collection-guides/digitised-printed-books">Digitised printed books (18th-19th Century)</a> book collection. The datasets in this collection are comprised and derived from 49,455 digitised books (65,227 volumes), mainly from the 19th Century. This dataset is dominated by English language books and includes books in several other languages in much smaller numbers. </p> <p>This model was originally developed for use as part of the <a href="https://livingwithmachines.ac.uk/">Living with Machines</a> project to be able to 'segment' this large dataset of books into different categories based on a 'crude' classification of genre i.e. whether the title was `fiction` or `non-fiction`.</p> <p>The model's training data (discussed more below) primarily consists of 19th Century book titles from the <a href="https://www.bl.uk/collection-guides/digitised-printed-books">British Library Digitised printed books (18th-19th century)</a> collection. These books have been catalogued according to British Library cataloguing practices. The model is likely to perform worse on any book titles from earlier or later periods. While the model is multilingual, it has training data in non-English book titles; these appear much less frequently.</p> <p><strong>How to use</strong></p> <p>To use this within fastai, first install version 2 of the fastai library. Following the documentation <a href="https://docs.fast.ai/#Installing">instructions</a>. Once you have fastai installed, you can use the model as follows:</p> <pre><code class="language-python">from fastai.text.all import load_learner learn = load_learner("20210928-model.pkl") learn.predict("Oliver Twist")</code></pre> <p><strong>Limitations and bias</strong></p> <p>The model was developed based on data from the <a href="https://www.bl.uk/collection-guides/digitised-printed-books">British Library's Digitised printed books (18th-19th Century)</a> collection. This dataset is not representative of books from the period covered with biases towards certain types (travel) and a likely absence of books that were difficult to digitise.</p> <p>The formatting of the British Library books corpus titles may differ from other collections, resulting in worse performance on other collections. It is recommended to evaluate the performance of the model before applying it to your own data. Likely, this model won't perform well for contemporary book titles without further fine-tuning.</p> <p><strong>Training data</strong></p> <p>The training data for this model will be available from the British Libary Research Repository shortly.</p> <p>The training data was created using the Zooniverse platform. British Library cataloguers carried out the majority of the annotations used as training data. More information on the process of creating the training data will be available soon. </p> <p><strong>Training procedure</strong></p> <p>Model training was carried out using the fastai library version 2.5.2. </p> <p>The notebook using for training the model will be available at: https://github.com/Living-with-machines/bl-books-genre-prediction</p> <p><strong>Eval result</strong></p> <p>The model was evaluated on a held out test set:</p> <pre> precision recall f1-score support Fiction 0.91 0.88 0.90 296 Non-fiction 0.94 0.95 0.95 554 accuracy 0.93 850 macro avg 0.93 0.92 0.92 850 weighted avg 0.93 0.93 0.93 850</pre>
Supplementary material for 'Station to Station: Linking and Enriching Historical British Railway Data'
<p>Supplementary material for the <a href="https://github.com/Living-with-machines/station-to-station">station-to-station</a> Github repository, containing the underlying code and materials for the paper 'Station to Station: Linking and Enriching Historical British Railway Data', accepted to CHR2021 (Computational Humanities Research).</p> <p>Mariona Coll Ardanuy, Kaspar Beelen, Jon Lawrence, Katherine McDonough, Federico Nanni, Joshua Rhodes, Giorgia Tolfo, and Daniel C.S. Wilson. "Station to Station: Linking and Enriching Historical British Railway Data." In Computational Humanities Research (CHR2021). 2021.</p>
Diachronic and diatopic word embeddings from newspapers digitised by the British Library (1830-1889): North and South England
<p>Diachronic word embeddings (decade-level) trained with Word2Vec (via Gensim) on different geographic subcorpora of the Heritage Made Digital British and the Living with Machines historical newspaper collections:</p> <p>- North England (north.zip)</p> <p>- South England (south.zip)</p> <p>At the moment, for each subcorpus, Word2Vec models are available for each decade in the period 1830-1889. More models are on the way for the following:</p> <p>- each decade in the periods 1780-1829 and 1890-1920 for both North and South England.</p> <p>- diachronic models for the following regions: Scotland, Wales, and Midlands.</p> <p>The models were trained using the following parameters:</p> <pre><code>sg = True min_count = 1 window = 5 vector_size = 200 epochs = 5</code></pre> <p>Like the embeddings in <a href="https://doi.org/10.5281/zenodo.7181682">this repository</a>, the model for each decade was aligned to the most recent one with Orthogonal Procrustes.</p> <p>See related GitHub repository for the full documentation: <a href="https://github.com/Living-with-machines/DiachronicEmb-BigHistData">https://github.com/Living-with-machines/DiachronicEmb-BigHistData</a>.</p> <p>Project website (Living with Machines): <a href="https://livingwithmachines.ac.uk/">https://livingwithmachines.ac.uk/</a></p> <p>Data related to: Nilo Pedrazzini & Barbara McGillivray, <em>Diachronic and diatopic word embeddings from British historical newspapers</em>, presented at AIUCD (Convegno dell’Associazione per l’Informatica Umanistica e la Cultura Digitale) in Siena (Italy), June 2023.</p>
Seismicity catalog of hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia
<p>Seismicity catalog of 8,731 hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia between 1 July 2017 to 31 Dec 2020. The Study area covers the Kiskatinaw area, wich extends over parts of the Montney Formation, a major shale gas play within the Western Canada Sedimentary Basin. Catalog corresponds to:</p> <p>Roth, M. P., A. Verdecchia, R. M. Harrington, and Y. Liu (2020). High-Resolution Imaging of Hydraulic-Fracturing-Induced Earthquake Clusters in the Dawson-Septimus Area, Northeast British Columbia, Canada, Seismol. Res. Lett. 91, 2744–2756, doi: 10.1785/0220200086.</p>
British Tallow Imports Database, 1800-1901
<p>British imports database used in Jim Clifford, “London’s Soap Industry and the Development of Global Ghost Acres in the Nineteenth Century,” <em>Environment and History, </em>2020, <a href="https://doi.org/10.3197/096734019X15463432086982">https://doi.org/10.3197/096734019X15463432086982</a>; <a href="https://hcommons.org/deposits/item/hc:24957/">https://hcommons.org/deposits/item/hc:24957/</a>.</p> <p>Most of the data in this spreadsheet is extracted from a relational database that I have been developing with a team of students starting in 2014 from the following sources “Ledgers of Imports Under Articles, 1800”, Boards of Customs, Excise, and Customs and Excise, and HM Revenue and Customs, CUST 5/1B, British National Archives; 1831-1844 are from “Tables of Trade of United Kingdom with Foreign Countries and British Possessions, 1831-40” and “Return of Quantities of Tallow, Palm Oil, Hemp, Flax, Hides, Skins and Sheep's Wool imported into United Kingdom, 1844-53”; and the 1853 to 1901 data are from a series of documents in the Nineteenth Century and Twentieth Century House of Commons Sessional Papers, with titles that begin with “Annual Statement of the Trade and Navigation of the United Kingdom” until 1870 and the “Annual Statement of Trade of United Kingdom” through to the twentieth century. They were all accessed through the ProQuest UK Parliamentary Papers.</p> <p>The larger database includes all imports every five years from 1856 to 1906. Email me for access to the whole database.</p> <p>Tallow imports from 1802-1828 were entered directly into Excel from the following sources: 1800-1821 is from United Kingdom, House of Commons, “Account of Quantity of Tallow imported into Great Britain, 1800-24,” Nineteenth Century House of Commons Sessional Papers, 1825, ProQuest UK Parliamentary Papers (1825-009633): 2-5; 1827-1828: is from United Kingdom, House of Commons, “Account of Quantity of Tallow, Flax, Hemp, Hides and Seeds imported, 1826-27,” Nineteenth Century House of Commons Sessional Papers, 1828, ProQuest UK Parliamentary Papers (1828-011166): 10.</p>
Tatocnemis malgassica. a. Insect, natural size. b in Descriptions of new Genera and Species of Odonata in the Collection of the British Museum, chiefly from Africa.
Tatocnemis malgassica. a. Insect, natural size. b. Extremity of abdomen, showing appendages, magnified 7 ½ times.
Display of grave goods from the Nilgiri Hills in the British Museum
<p>Graved goods from the burial sites on the tops of the Nilgiri Hills are on permanent display in the Sir Joseph E. Hotung Gallery of China and South Asia at the British Museum.</p>
Figure 4 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 4. Elytral sculpture of Onthophagus fracticornis (a, b) and O. massai (c, d), to show the prominent presetal granules of the interstices in O. fracticornis (white-bordered black arrow) and the prominent perisetal punctures in O. massai (white arrow). a, modern, Šar Planina, Macedonia; b, Bronze Age, Wilsford, Wiltshire, England, age about 4000 years; c, modern, Parco dei Nebrodi, Sicily; d, Last Interglacial, Trafalgar Square, London, age about 120,000 years.
Figure 3 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 3. Mitotic chromosomes of Onthophagus fracticornis (a – l) and O. massai (m, n), arranged as karyotypes. a, c, e, g, i, k, m, plain, b, d, f, h, j, l, n, the same nuclei C-banded. a, b, Spain; c, d, England; e, f, Macedonia, Šar Planina; g, h, Macedonia, Mavrovo National Park, with one B-chromosome and autosome 5 heterozygous for a pericentric inversion; i, j, Czech Republic; k, l, Italy; m, n, Sicily, Piano Zucchi.
Figure 2 in Chromosomal separation of difficult species of Copris Geoffroy, 1762 and Onthophagus Latreille, 1802 (Coleoptera, Scarabaeidae), with discussion of O. massai Baraud as a British Pleistocene fossil
Figure 2. Mitotic chromosomes of Copris hispanus hispanus (a, b) and C. h. cavolinii (c, d) arranged as karyotypes. a, c, plain, b, d, the same nuclei C-banded.
Figure 2. Collection sites A-D. Site A in Survey of rove beetles (Coleoptera, Staphylinidae) from Stanley Park, Vancouver, British Columbia, Canada, with new records and description of a new species. Part 2
Figure 2. Collection sites A-D. Site A: Aquarium (2007). Site B: Hollow Tree/Rawlings Trail (2007). Site C: South Creek Trail (2008). Site D: Merilees Trail (2008).
Figure 1 in Survey of rove beetles (Coleoptera, Staphylinidae) from Stanley Park, Vancouver, British Columbia, Canada, with new records and description of a new species. Part 2
Figure 1. Map of Stanley Park, Vancouver, British Columbia, showing collecting locations for the 2007 and 2008 insect surveys.
Figures 3–5. Sonoma squamishorum. Scale line equals 0.1 in Survey of rove beetles (Coleoptera, Staphylinidae) from Stanley Park, Vancouver, British Columbia, Canada, with new records and description of a new species. Part 2
Figures 3–5. Sonoma squamishorum. Scale line equals 0.1 mm: 3 ventral view male genitalia 4 ventral view male sternite 6 5 ventral view female sternites 6–7.
Fig. 21 in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 21. Frequency distribution of number of antennal flagellar segments in four species of the Enicospilus ramidulus species-group.
Fig. 22 in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 22. Phenology of the five British species of the Enicospilus ramidulus species-group, expressed as proportions of the total, excluding reared specimens.
Fig. 20. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 20. Distribution maps. A. Enicospilus inflexus (Ratzeburg, 1844). B. E. undulatus (Gravenhorst, 1829).
Fig. 19. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 19. Distribution maps. A. Enicospilus merdarius (Gravenhorst, 1829). B. E. repentinus (Holmgren, 1860).
Fig. 18. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 18. Distribution maps. A. Enicospilus adustus (Haller, 1885). B. E. cerebrator Aubert, 1966. C. E. combustus (Gravenhorst, 1829). D. E. myricae sp. nov. E. E. ramidulus (Linnaeus, 1758).
Fig. 16 in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 16. Enicospilus myricae sp. nov., habitus, paratype, ♀, Monks Wood, England, BMNH(E) 962209. Scale bar = 10 mm.
Fig. 17 in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 17. Enicospilus adustus (Haller, 1885) neotype ♀. Dorsal view of head and mesosoma, fore wing discosubmarginal cell and, inset, original locality label.
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.