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887 results for “British”
Plant Atlas 2020 — British and Irish plant conservation statuses
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind the conservation status tables presented on the Conservation tabs of species’ pages of the Plant Atlas 2020 website (<a href="http://www.plantatlas2020.org"><span>www.plantatlas2020.org</span></a><span>).</span></p>
Khotanese Manuscripts from Chinese Turkestan in the British Library (XML records)
<p>The file contains XML records matching the print edition of Skjaervo's catalogue, in TEI schema P4.</p> <p>The records in this file are a <strong>draft version</strong>. They have not yet been proofed and checked against physical holdings, which will be done with the next version release.</p> <p>The XML records have been produced as part of the work for the project <em>Beyond Boundaries: Religion, Region, Language and the State</em> (An ERC Synergy project from the European Research Council under the EU's 7th Framework Programme (FP7/2007-2013)/ERC grant agreement no.609823)</p>
Plant Atlas 2020 — British and Irish vascular plant and charophyte 2 x 2 km grid square locations up to 2019
<p><span>This resource provides the data behind the 2 × 2 km grid square (tetrad) British and Irish distribution maps, for 3,431 taxa, presented in both the Plant Atlas 2020 book and website (</span><a href="http://www.plantatlas2020.org"><span><span>www.plantatlas2020.org</span></span></a><span><span>), up to 2019. These are presence-only data, indicating where a taxon was reported from a tetrad</span></span><span>. These 2 km square presences are based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s.</span></p>
Plant Atlas 2020 — British and Irish vascular plant and charophyte 10 x 10 km grid square locations, subdivided by survey period, up to 2019
<p><span>This resource provides the data behind the 10 × 10 km grid square (hectad) British and Irish distribution maps, for 3,497 taxa, presented in both the Plant Atlas 2020 book and website (</span><a href="http://www.plantatlas2020.org"><span><span>www.plantatlas2020.org</span></span></a><span><span>), subdivided by time period<a><span>.</span></a> These are presence-only data, indicating where a taxon was reported from a hectad, within a given</span><span><span></span></span></span><span> multi-year period, up to 2019. These time periods cover the 20<sup>th</sup> Century, but also extend back to the earliest botanical records known for Britain and Ireland in the first period (pre-1930). These 10 km square presences are based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s.</span></p>
Diachronic word embeddings from 19th-century newspapers digitised by the British Library (1800-1919)
<p>Word vectors related to the paper <em>Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers </em>by Nilo Pedrazzini and Barbara McGillivray (2022).</p> <p>The embeddings were trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters:</p> <pre><code>sg = True min_count = 1 window = 3 vector_size = 200 epochs = 5</code></pre> <p>The embeddings are divided into periods of ten years each, with the vectors from each decade aligned to the ones from the most recent decade (1910s) using 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 webpage (Living with Machines): <a href="https://livingwithmachines.ac.uk/">https://livingwithmachines.ac.uk/</a></p>
Plant Atlas 2020 — British and Irish phenological data (flowering and leafing ranges)
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind the phenological diagrams (flowering and leafing) presented on the Plant Atlas 2020 website (<a href="http://www.plantatlas2020.org"><span>www.plantatlas2020.org</span></a><span>) and in the <em>Plant Atlas 2020</em> book. </span><span>Note that for non-flowering plants included in the atlas (e.g. ferns, horsetails etc.), the “flowering” fields in the phenology file included here are equivalent to the months when spore-bearing structures are visible.</span></p>
Plant Atlas 2020 — British altitude-by-latitude diagrams
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data behind the British altitude-by-latitude diagrams presented in the Plant Atlas book (Stroh et al., 2023) and on the website (www.plantatlas2020.org).</p>
Plant Atlas 2020 — British and Irish species weekly apparency (including by-latitude breakdown for Britain), 2000–2019
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource contains the species weekly “apparency” metrics presented within the Plant Atlas book and website, including a breakdown of species apparency by latitude for Britain. Apparency at the scale presented here (2 x 2 km spatially, smoothed over the period 2000–2019) combines aspects of recorder activity and detectability, with the latter being primarily influenced by phenology at this spatio-temporal scale.</p>
Plant Atlas 2020 — British and Irish vascular plant and charophyte 10 x 10 km distribution trends for 1930–2019 (long-term) and 1987–2019 (short-term), including country-level breakdowns
<p>Plant Atlas 2020 is the most comprehensive survey of plants (flowering plants, ferns and charophytes) ever undertaken in Britain and Ireland. It is based on over 30 million records, collected mainly by volunteer recorders of the Botanical Society of Britain and Ireland (BSBI) between 2000 and 2019, as well as previous nationwide surveys undertaken in the 1950s and 1990s. This resource provides the data for the long- (1930–2019) and short- term (1987–2019) 10 x 10 km (“hectad”) distribution trends, presented in both the <em>Plant Atlas 2020</em> book (Stroh et al., 2023) and website (www.plantatlas2020.org).</p>
Photograph of Small Finds. British Museum 1897,0528,0.140
<p>Photograph of Small Finds from Bodhgayā and related sites, the photograph collected by <a href="https://en.wikipedia.org/wiki/Alexander_Cunningham">Alexander Cunningham</a> and acquired by <a href="https://en.wikipedia.org/wiki/Augustus_Wollaston_Franks">A. W. Franks</a> who bequeathed it to the British Museum where it is registered as 1897,0528,0.140.</p>
Decade-level Word2Vec models from automatically transcribed 19th-century newspapers digitised by the British Library (1800-1919)
<p>Word embeddings trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters:</p> <pre><code>sg = True min_count = 5 window = 5 vector_size = 100 epochs = 5</code></pre> <p>The embeddings are divided into periods of ten years each. Unlike those in <a href="https://doi.org/10.5281/zenodo.7181682">this repository</a>, these were not aligned and OCR errors skimmed from the vocabulary. </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>
British Columbia and Alaska Motus Prioritization Tool Data
Addressing survival and movement of priority migratory avian species of concern along the Pacific Flyway is paramount for their conservation. Yet, the migratory life stage is understudied in many avian species. The Motus radiotelemetry receiver network is an established system for tracking survival and movement of avian species. This network is an international collaborative that successfully identifies stopover site duration, connected migratory routes, post-fledging dispersal and survival, and adult survival and fidelity on a landscape-scale; parameters that cannot be easily estimated using non-tagged birds. While the Motus network is highly connected in eastern North America, the western part of the continent is lagging in coverage and connectivity, limiting the ability to obtain sample sizes large enough to robustly model demographic parameters from tagged birds. Thus, the expansion of the Motus network is a high priority for Pacific Flyway State Agencies. To date, no method exists for determining priority locations for new Motus receiving stations. With collaborations from States and the Canadian Province of British Columbia, we used eBird citizen scientist data to prioritize strategic locations for new Motus receiving stations throughout the Pacific Flyway. We model priority species’ co-occupancy of varying abundance states (i.e., absent, present, abundant, abundant in multiple weeks) with spatially varying Landsat (red and near infrared), water, land cover types, and weather covariates while accounting for variable detection with temporally varying survey effort covariates. Using occupancy model predictions, we identify high-use areas of the Pacific Flyway for establishing new Motus receiving towers that have high probabilities of intercepting high presence and /or abundance of multiple species of interest in a series of predictive occupancy maps. This package contains all the necessary files to recreate the data analysis, print out maps based on predictions
Inscriptions from Bodhgayā, unpublished mock-up. British Museum 1897,0528,0.16.
<p>Alexander Cunningham, Inscriptions from Bodhgayā, unpublished mock-up. Probably prepared in 1891. British Museum 1897,0528,16.</p>
Offshore British Columbia microseismicity
<p>Initial and relocations of microseismicity in the Queen Charlotte triple junction and Explorer microplate region offshore British Columbia, Canada from 1995-2021. These data include detections using the Regressive Estimator (REST) algorithm and those from network analysts at the Geological Survey of Canada (GSC). The files include earthquake locations, origin times, and P and S wave travel/arrival times. Centroid moment tensor solutions from the Geological Survey of Canada.</p> <p> </p> <p>1. comb_all_event_4pr_final.dat<br> All (63,566) 4-pair initial data (Unique GSC, REST, and matched events.)<br> Event header format:</p> <p>YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID</p> <p>2. phase_REST_initial_all.dat<br> Detections and locations for all REST events from 1995-2021. Excludes 9,929 events matched with the GSC.<br> Event header format:</p> <ol> <li>YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID<br> Phase detection format:<br> Station Traveltime Quality Phase</li> </ol> <p>3. phase_matchGSC_initial.dat<br> 9,929 events matched between REST-GSC detections from 1995-2021. Locations and phase detections from the GSC.<br> Event header format:</p> <ol> <li>YYYY MM DD HH MM SC LAT LON DEP 0 0 0 0 ID<br> Phase detection format:<br> Station Traveltime Quality Phase</li> </ol> <p>4. phase_GSC_initial_all_mag_ml.dat<br> 40,839 events from the GSC catalog from 1995-2021. Includes local (ML) magnitudes.<br> Event header format:</p> <ol> <li>YYYY MM DD HH MM SC LAT LON DEP MAG 0 0 0 ID<br> Phase detection format:<br> Station Traveltime Quality Phase</li> </ol> <p>5. hypreloc_fix5_4pr_all.reloc<br> 18,441 final hypoDD relocations in hypoDD file format.</p> <p>6. PGC_CMT.tgz<br> .tgz file includes Geological Survey of Canada centroid moment tensor solutions and associated README file.</p>
CLDF dataset derived from Tolmie and Dawson's "Comparative Vocabulary of the Indigenous Peoples in British Columbia" from 1884
<p>Cite the source of the dataset as:</p> <blockquote> <p>Tolmie, Fraser W. and Dawson, George M. (1884). Comparative vocabularies of the Indian tribes of British Columbia, with a map illustrating distribution. Montreal: Dawson Brothers.</p> </blockquote>
Bodhgayā, Bihar. Photograph of Chinese Inscription. British Museum 1897,0528.0.30 a
<p>Bodhgayā, Bihar. Photograph of the Chinese Inscription dated in the second year of 明道 Míngdào (CE 1032-33) of the Song emperor 真宗 Zhēnzōng (see notes for explanation). Further data in SIDDHAM <a href="https://siddham.network/object/obch0004/">OBCH0004</a>. © British Museum.</p>
British English Cued Speech--interspeech 2019
<p>The first British English Cued Speech (CS) dataset is recorded for this work in Cued Speech UK association without using any artificial mark, and it is also the first one especially for the continuous recognition in British English CS. A professional CS interpreter (with no hearing impairment) is asked to simultaneously utter and encode a set of 97 British English sentences (e.g., I feel it is a time to move to a new chapter in my career). 97 sentences are chosen from the uploaded text file. There are totally 907 monophthongs and 138 diphthongs in the dataset. Color video images of the interpreter’s upper body are recorded at 25 fps, with a spatial resolution of 720x1280. </p> <p>If you use this dataset, please cite the following:</p> <pre>@inproceedings{Liu2019, author={Li Liu and Jianze Li and Gang Feng and Xiao-Ping Zhang}, title={{Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech}}, year=2019, booktitle={Proc. Interspeech 2019}, pages={2285--2289}, doi={10.21437/Interspeech.2019-2353}, url={http://dx.doi.org/10.21437/Interspeech.2019-2353} }</pre>
National Checklists 2017: British Virgin Islands Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from British Virgin Islands collected using effechecka and geonames polygons
National Checklists 2019: British Virgin Islands Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from British Virgin Islands collected using effechecka and geonames polygons
Black Lives, British Justice: Black people in London Criminal Justice Records 1720-1841
<p>This dataset brings together all 698 known references to ‘Black’ or possibly Black African heritage people or groups in records of London criminal justice (1720-1841). Each entry includes references to primary sources mentioning the person(s), including in the <em>Old Bailey Proceedings</em>, <em>Ordinary’s Accounts</em>, and <em>Middlesex Criminal Registers</em>. Individuals are trial witnesses, victims, defendants, and people mentioned in passing during testimony. For each entry, a confidence level is offered by the authors, as a person’s ethnicity cannot always be determined with certainty. Evidence for making that judgment is provided. This dataset is useful for anyone interested in Black history in Britain, Black people and justice, or Black London during the age of enslavement.</p> <p>Significant background material is available on the Old Bailey Online website, which provides additional context for these records. The authors also recommend the following works:</p> <p> * Kathleen Chater. <em>Untold Histories: Black People in England and Wales during the Period of the British Slave Trade, c. 1660-1807</em> (Manchester, 2011).<br> * Norma Myers, <em>Reconstructing the Black Past</em> (Frank Cass, 1996).<br> * Marika Sherwood. ‘Blacks in the Gordon Riots’, <em>History Today</em>, vol. 47 (1997), 24-28.</p> <p><br> Each record includes details on the name of the Black individual(s), as well as information on up to three sources in which he/she/they have been identified, and an indication by the authors on the likelihood the person is actually Black.</p> <p>Each entry has 17 columns of data, all of which are described in full in the ReadMe.txt file.</p>
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