In the century between Napoleon's defeat and the outbreak of the First World War (known as the "Pax Britannica"), the British Empire grew to become the largest and most powerful empire in the world. At its peak in the 1910s and 1920s, it encompassed almost one quarter of both the world's population and its land surface, and was known as "the empire on which the sun never sets". The empire's influence could be felt across the globe, as Britain could use its position to affect trade and economies in all areas of the world, including many regions that were not part of the formal empire (for example, Britain was able to affect trading policy in China for over a century, due to its control of Hong Kong and the neighboring colonies of India and Burma). Some historians argue that because of its economic, military, political and cultural influence, nineteenth century Britain was the closest thing to a hegemonic superpower that the world ever had, and possibly ever will have. "Rule Britannia" Due to the technological and logistical restrictions of the past, we will never know the exact borders of the British Empire each year, nor the full extent of its power. However, by using historical sources in conjunction with modern political borders, we can gain new perspectives and insights on just how large and influential the British Empire actually was. If we transpose a map of all former British colonies, dominions, mandates, protectorates and territories, as well as secure territories of the East India Trading Company (EIC) (who acted as the precursor to the British Empire) onto a current map of the world, we can see that Britain had a significant presence in at least 94 present-day countries (approximately 48 percent). This included large territories such as Australia, the Indian subcontinent, most of North America and roughly one third of the African continent, as well as a strategic network of small enclaves (such as Gibraltar and Hong Kong) and islands around the globe that helped Britain to maintain and protect its trade routes. The sun sets... Although the data in this graph does not show the annual population or size of the British Empire, it does give some context to how Britain has impacted and controlled the development of the world over the past four centuries. From 1600 until 1920, Britain's Empire expanded from a small colony in Newfoundland, a failing conquest in Ireland, and early ventures by the EIC in India, to Britain having some level of formal control in almost half of all present-day countries. The English language is an official language in all inhabited continents, its political and bureaucratic systems are used all over the globe, and empirical expansion helped Christianity to become the most practiced major religion worldwide. In the second half of the twentieth century, imperial and colonial empires were eventually replaced by global enterprises. The United States and Soviet Union emerged from the Second World War as the new global superpowers, and the independence movements in longstanding colonies, particularly Britain, France and Portugal, gradually succeeded. The British Empire finally ended in 1997 when it seceded control of Hong Kong to China, after more than 150 years in charge. Today, the United Kingdom consists of four constituent countries, and it is responsible for three crown dependencies and fourteen overseas territories, although the legacy of the British Empire can still be seen, and it's impact will be felt for centuries to come.

British English Speech Dataset for recognition task

Dataset comprises 200 hours of high-quality audio recordings featuring 310 speakers, achieving an impressive 95% Sentence Accuracy Rate. This extensive collection of speech data is designed for NLP tasks such as speech recognition, dialogue systems, and language understanding. By utilizing this dataset, developers and researchers can advance their work in automatic speech recognition and improve recognition systems. - Get the data… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/british-english-speech-recognition-dataset.

DuckyBlender/british-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource line data for fish.

In 2020/21 there were approximately 696,000 Polish nationals living in the United Kingdom, the highest non-British population at this time. Indian and Irish were the joint second-largest nationalities at approximately 370,000 people.

American lobsters (Homarus americanus) are native to the east coast of North American and Canada, but have been imported live into Europe for several decades resulting in their escape into the wild. American lobsters have the potential to have a significant impact on the European lobster (Homarus gammarus) fisheries in Europe, but the status of American lobsters is not well understood, especially in Great Britain (GB) where reports have been sporadic. Reports were collated from across GB of American lobsters being caught in coastal waters. Between 1988 and 2011, 26 individuals have been positively identified using standard taxonomic techniques. American lobsters were found predominantly in waters off southern England, with no confirmed reports from Wales and a single report from Scotland. However, there are anecdotal reports of American lobsters being found in much greater numbers from around GB. The potential threat that American lobsters pose to fisheries in GB and the rest of Europe is discussed along with recommendations to better estimate the numbers of animals being released.

DoReCo Southern England

DoReCo (Language DOcumentation REference COrpus) contains 100 hours of speech across 53 languages. It contains phonemic annotations using the sounds supported by X-SAMPA. You can read more about the Southern England portion here. It was compiled by Nils Norman Schiborr and further processed by Ludger Paschen and Matthew Stave.

  This Processed Version

We have processed the dataset into an easily consumable Hugging Face dataset using this data… See the full description on the dataset page: https://huggingface.co/datasets/KoelLabs/DoReCo.

Finland Imports: Middle America: British Virgin Islands data was reported at 453.000 EUR in Jul 2018. This records a decrease from the previous number of 6,267.000 EUR for May 2018. Finland Imports: Middle America: British Virgin Islands data is updated monthly, averaging 1,049.000 EUR from Jan 2000 (Median) to Jul 2018, with 135 observations. The data reached an all-time high of 12,640,401.000 EUR in Jul 2013 and a record low of 0.000 EUR in Sep 2001. Finland Imports: Middle America: British Virgin Islands data remains active status in CEIC and is reported by Finnish Customs. The data is categorized under Global Database’s Finland – Table FI.JA007: Imports: by Region and Country.

Dataset Card for British Library Books

This dataset is the same as https://huggingface.co/datasets/TheBritishLibrary/blbooks, however, this version is stored as parquet to avoid needing to run a datasets script. This also makes loading this dataset much quicker.

  Dataset Summary

This dataset consists of books digitised by the British Library in partnership with Microsoft. The dataset includes ~25 million pages of out of copyright texts. The majority of the texts were… See the full description on the dataset page: https://huggingface.co/datasets/biglam/blbooks-parquet.

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource polygonal data for marine mammals.

Data from geophysical surveys in many South American and Caribbean countries carried out by the British Geological Survey for different agencies. The surveys range from regional gravity and airborne magnetic mapping to targetted surveys for mineral and water. Individual surveys do not yet have metadata entries: this entry describes a notional database that represents all geophysical surveys carried out within the region.

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Abstract copyright UK Data Service and data collection copyright owner. This research project represents a pilot scheme which investigated the feasibility of (1) multiple manual coding of British and American election programmes; (2) testing new coding schemes for the analysis of British and American election programmes, and (3) computerisation of coding of election programmes. The base for the project was the work of the Manifesto Research Group (MRG) which was established in the early 1980s by Ian Budge and collaborators to enable the cross-national and cross-temporal analysis of election programmes on the basis of a common coding scheme. This had produced a robust and detailed dataset of material pertaining to 19 countries which provided large numbers of scholars with material to test hypotheses covering substantive issues relating to parties and government, such as the dynamics of coalition formation or the relationship between party policy and government expenditure. Any single coding scheme, however robust, will necessarily abstract drastically from the content of the original documents under scrutiny. Even within political science there is debate on the extent to which specific promises might tell us something different from the general priorities abstracted. Other disciplines may also find that different coding schemes could offer them new avenues for research which were hitherto unable to be pursued. Furthermore, there have been extensive studies based on surveys, e.g. the World Values study, which could be combined with programmatic material to monitor whether political parties reflect the concerns of electorates if the manifestos were coded in a manner more appropriate to their purposes. In addition, it was felt that new approaches to coding, such as multiple manual coding assisted by computer, and fully computerised coding, would help to accelerate the process of data collection, help to reduce costs, and in the case of the latter create a more reliable basis for analysis. Other studies by Ian Budge and the Manifesto Research Group are currently held at the UK Data Archive under SN 3437 Comparative Manifestos Project : Programmatic Profiles of Political Parties in Twenty Countries, 1945-1988, and SN 2139 ECPR Party Manifestos Project, 1921-1987.

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains data representing the shelf boundary (the seaward extent of the shelf edge reef).

This data reports natural gas consumption (in billion cubic meters) by country for the years 1965 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com

Abstract copyright UK Data Service and data collection copyright owner. The research projected was a series of two surveys in the US, UK, and France (an extra post 2014 European election wave was added in the UK) investigating factors affecting public opinion about foreign policy by studying the dynamics of opinion about possible military and humanitarian aid interventions in Syria in three major democracies - the United Kingdom, the United States and France. The Syrian situation has great real-world urgency while presenting a significant opportunity to bolster understanding of how public opinion shapes and constrains the policies that elites can choose. The first surveys have a great focus on the Syrian crisis as well as included additional questions tapping the public's attitudes towards foreign policy more generally. The follow-up surveys focused on foreign policy attitudes and how they related to domestic opinion in the three nations. The French and British waves are panelled and were fielded shortly before and after the 2014 European elections, and there is a total of three, not two British waves. This collection contains a two wave survey of representative samples of the British, French, and American populations. Survey work was conducted by YouGov. The French surveys were fielded shortly before and after the 2014 European Elections. A cross sectional British survey was fielded in March 2014 and then a short panel survey was conducted before and after the spring 2014 European elections. The American cross-sections were fielded in March 2014 and September 2014. Simple random sample web-based survey

This data reports hydroelectricity consumption (in million tonnes oil equivalent) by country for the years 1965 to 2005. The data comes from the British Petroleum Statistical Review of World Energy. www.bp.com

Early instrumental observations are an important tool to understand multidecadal climate variability or put in context specific extreme phenomena. This paper provides early instrumental data recovered in Latin-America and the Caribbean. Data have been retrieved from 20 countries (Argentina, Bahamas, Belize, Brazil, British Guiana, Chile, Colombia, Costa Rica, Cuba, Ecuador, France (Martinique and Guadalupe), Guatemala, Jamaica, Mexico, Nicaragua, Panama, Peru, Puerto Rico, El Salvador and Suriname) and they cover the 18th and 19th centuries. The main meteorological variables retrieved are air temperature, atmospheric pressure and precipitation but other variables, such as humidity, wind direction, or state of the sky have been retrieved when possible. In total, more than 300 000 early instrumental observations have been rescued (96% with daily resolution). Special effort has been done to document all the available metadata (instruments, observers, methodology of observation...) in order to allow further post processing. The compilation is far from being exhaustive but the data set will contribute to a better understanding of the climate variability in the region and to enlarge the overlapping period between instrumental data and natural and documentary proxies. This dataset provides early instrumental data recovered in Latin-America and the Caribbean. Data have been retrieved from 20 countries (Argentina, Bahamas, Belize, Brazil, British Guiana, Chile, Colombia, Costa Rica, Cuba, Ecuador, France (Martinique and Guadalupe), Guatemala, Jamaica, Mexico, Nicaragua, Panama, Peru, Puerto Rico, El Salvador and Suriname) and they cover the 18th and 19th centuries. The main meteorological variables retrieved are air temperature, atmospheric pressure and precipitation but other variables, such as humidity, wind direction, or state of the sky have been retrieved when possible. In total, more than 300.000 early instrumental observations have been rescued.Comments contain: All the metadata rescued about the observations or the observer. Also provides extreme or rare events recorded by the observer and any other information that could be useful to interpret the series.

During the Second World War, the three Axis powers of Germany, Italy, and Finland mobilized the largest share of their male population. For the Allies, the Soviet Union mobilized the largest share of men, as well as the largest total army of any country, but it was restricted in its ability to mobilize more due to the impact this would have on its economy. Other notable statistics come from the British Empire, where a larger share of men were drafted from Dominions than from the metropole, and there is also a discrepancy between the share of the black and white populations from South Africa.

However, it should be noted that there were many external factors from the war that influenced these figures. For example, gender ratios among the adult populations of many European countries was already skewed due to previous conflicts of the 20th century (namely WWI and the Russian Revolution), whereas the share of the male population eligible to fight in many Asian and African countries was lower than more demographically developed societies, as high child mortality rates meant that the average age of the population was much lower.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format. Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc. Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:

Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".