Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity and characteristics, breeding habitat, and morphological characteristics. The database also contains data regarding species distribution, conservation status, and temporal trends for abundance and occupancy. This database can be used for a wide array of purposes including further fundamental research on species and community responses to environmental change, conservation and management studies, and evolutionary biology. A more recent version of the dataset is available at https://doi.org/10.5285/33a66d6a-dd9b-4a19-9026-cf1ffb969cdb entitled 'Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2022'.

This zip file contains the Code History Database for the United Kingdom as at June 2021. To download the zip file click the Download button.File includes updates to: E04 - Civil Parishes, E05 - Electoral wards/divisions, E15 - European Electoral Regions, E37 - Local Enterprise Partnerships, E43 - Non-Civil Parished Areas, E58 - County Electoral Divisions, N07 - European Electoral Regions, S15 - European Electoral Regions, S16 - Scottish Parliamentary Constituencies, S17 - Scottish Parliamentary Regions, W04 - Communities, W08 - European Electoral Regions

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for United Kingdom is 1000.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

List of mines and quarries in the UK including information about operational status, products, lithostratigraphy, chronostratigraphy, pit and operator addresses, minerals planning authority. Digital data has been sold from the BritPits database, since 1994, this has been customised to suit purchasers. Use is also made of sets of operational workings data by Bureau Services who pay royalties and get updates. Older data on operators tends to be incomplete as it was not recorded. Updating is ongoing to update litho- and chronostrat data. Originally, only details of currently active sites were included in the database but, because of the importance of former workings for waste disposal and as Sites of Special Scientific Interest, information is now collected on both inactive and closed operations. The data is held in a relational database using an Oracle server and a Microsoft Access front-end. The database can be used for many purposes: mailing lists, route planning, market intelligence/analysis, and resource planning, and data has been supplied to a wide range of customers.

This dataset contains species data extracted from Natural England's Environmental Monitoring Database (EMD) in January 2016. The EMD was developed to hold vegetation, bird and other species data gathered by a wide range of surveys. Most (but not all) of these Surveys were designed to monitor habitats and species being targeted for management by agri-environment schemes. The data has almost all been gathered since 1987 and the main schemes involved comprise the Environmentally Sensitive Areas, Countryside Stewardship schemes and Environmental Stewardship. The data comprise species records from a wide range of moorland, grassland, wetland and coastal habitats. As the dataset comprises records from many surveys, designed with specific individual purposes, the distribution of sampling points are a function of those individual surveys rather than representing any systematic coverage within the dataset as a whole. There are no sensitive records in this dataset. The EMD is no longer used, and this dataset will no longer be updated.

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This dataset contains parametric data (epicentre, magnitude, depth, etc) for over one million earthquakes worldwide. The dataset has been compiled gradually over a period of thirty years from original third-party catalogues, and parameters have not been revised by BGS, although erroneous entries have been flagged where found. The dataset is kept in two versions: the complete "master" version, in which all entries for any single earthquake from contributing catalogue are preserved, and the "pruned" version, in which each earthquake is represented by a single entry, selected from the contributing sources according to a hierarchy of preferences. The pruned version, which is intended to be free from duplicate entries for the same event, provides a starting point for studies of seismicity and seismic hazard anywhere in the world.

BGS have collected environmental radioactivity data for various purposes over several decades. This is being drawn together to produce a database of baseline gamma radioactivity and radon. Data includes the relevant portions of airborne and ground gamma spectrometer surveys, mineral exploration, baseline geochemistry and environmental radiometric surveys along with lithogeochemical and borehole log data. It is predominantly a specialist subset of other existing BGS databases. Incomplete UK coverage.

The Geotechnical Database contains information about site investigation reports, boreholes and samples. It contains geotechnical measurements taken over borehole intervals and on samples. Some of the data is obtained digitally from AGS files (Association of Geotechnical and Geoenvironmental Specialists - File Transfer Format), some is obtained manually from Site Investigation Reports stored in the National Geoscience Data Centre. The database currently contains geotechnical data from over 450 000 laboratory test samples and core descriptions, borehole observations and in situ tests from over 96 000 boreholes extracted from over 4800 site investigation reports. The database underpins BGS Geo-engineering properties and processes research and is an important information resource for answering enquiries and providing for the data needs of external customers.

Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.

Abstract copyright UK Data Service and data collection copyright owner. The Independent Midwives UK (IMUK) Research Database project was set up in 2002 as a prospective data collection. The aim was to collect a wide range of data from the IMs' case notes, covering antenatal, intrapartum and postpartum care. Each client was asked to sign a consent form giving permission for the data to be used. Research databases are normally designed to provide the minimum dataset that will satisfy the research requirements. The IMUK database took the opposite approach, collecting a wide range of data from the outset, with a 100% sample. This decision was made since it was neither practicable nor possible to contact clients for corrections and additions after the maternity care episode was completed. This has resulted in a dataset both comprehensive in scope and rich in detail. It may be particularly interesting because of the high proportion of home births (over 60%).Study Author's Acknowledgment:In memory of Roger Kistruck, with heartfelt thanks. Without him these datasets could not have been collected or processed.Independent Midwives UK (IMUK) is a membership organisation for independent midwives (IMs) in the UK. All IMUK's full members are professionally trained midwives, and are regulated by the NMC. IMs work autonomously as lead health professionals for maternity care, booking clients outside the NHS system, although almost all clients booked are also entitled to GP, specialist and emergency care as NHS patients. More than 50% of births attended by independent midwives are home births.For the June 2022 release, edits were made to the previous data files to create a standard End User Licence (EUL) access version. Users should note that the documentation may still refer to previous files. The variables contained in the EUL version are listed in the UKDA data dictionary files available in the documentation table. Main Topics: Data were collected on the following topics for each of the approximately 5,500 cases: Details of the woman client, her physical characteristics, age and medical history, particularly in relation to previous pregnancies, smoking and alcohol consumption. Details of the pregnancy and antenatal care, with tests, medication malpresentations and hospital visits. Details of the labour and birth with stage timings, nourishment, pain relief, any hospitalisation, induction of labour, assisted birth and outcome. For each baby (including twin babies) details of place of birth, gender, birthweight, any birthing problems, resuscitation, birth defects, health during the first six weeks, breastfeeding and health at discharge.

Dataset of mineral occurrences in the UK including locations of known mines, mineral showings and localities, including sites where minerals of economic interest have been identified in panned concentrates. Data is normally taken from published sources or from internal BGS records, such as field sheets, rock and stream sediment collection cards. Data compilation started ca. 1994.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

This study contains a systematic transcription of information on individual strikes in every fifth year, as recorded by the Board of Trade Labour Department, and later the Ministry of Labour, in their Strike Registers, now held in class LAB.34 in the UK National Archives.

They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.

The Board of Trade/Ministry of Labour Strike Registers record information on individual industrial disputes and formed the basis for official strike statistics. They contain information supplied by employers via a questionnaire, and consequently should not be assumed to be either comprehensive or entirely reliable; but they still provide the most complete source of information available for the period.

The information provided includes the geographical locality and the industry involved; the start date, duration and number of working days lost. It also includes the dispute's cause, result and settlement, but these are recorded by codes whose meanings have not been established.

The Strike Registers exist continuously, but this transcription is limited to every fifth year with these numbers of disputes in each year:

• 1903: 354
• 1908: 397
• 1913: 1476
• 1918: 1290
• 1923: 642
• 1928: 299
• 1933: 354
• 1938: 863

This zip file contains the Code History Database for the United Kingdom as at December 2020. There is a version 2 now - File updated following late receipt of The Leeds (Reorganisation of Community Governance) Amendment Order 2018. Boundary and code change for Garforth & Swillington, and Temple Newsam wards and also updated to include changes to 6 parishes and Leeds, unparished area in Leeds following the late receipt of a parish order.To download the zip file click the Download button.File includes updates to Civil Parishes in England (E04), Constitutions updated to the end of 2020, SI Details updated to the end of 2020 and the Information Table has been updated.

This zip file contains the Code History Database for the United Kingdom as at November 2020 (Version 2). To download the zip file click the Download button. We have removed 42 Sustainability and Transformation Partnerships from the database

This database stores down-hole stratigraphic data to complement the seismic surface picks stored in the Seismic Locations And Sections Database (LOCSEC). Because these surfaces are chosen for their visibility on seismic data, they may not be directly equivalent to established BGS lithostratigraphic and/or choronstratigraphic divisions. However, the local coding system is based on and can relate to the BGS stratigraphic LEXICON. Stratigraphic picks are stored in terms of depth and seismic one-way travel time. Local borehole summary information (location, elevation, etc.) is used because both onshore and offshore boreholes are stored in this database. These data can be related to the BGS onshore borehole database by borehole registration, and to the offshore well database by DTI well-id. Additional tables (under development) provide information on hydrocarbon tests and their results. Almost all data are within the UK Onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea).