In 2024, Amazon's net revenue from subscription services segment amounted to 44.37 billion U.S. dollars. Subscription services include Amazon Prime, for which Amazon reported 200 million paying members worldwide at the end of 2020. The AWS category generated 107.56 billion U.S. dollars in annual sales. During the most recently reported fiscal year, the company’s net revenue amounted to 638 billion U.S. dollars. Amazon revenue segments Amazon is one of the biggest online companies worldwide. In 2019, the company’s revenue increased by 21 percent, compared to Google’s revenue growth during the same fiscal period, which was just 18 percent. The majority of Amazon’s net sales are generated through its North American business segment, which accounted for 236.3 billion U.S. dollars in 2020. The United States are the company’s leading market, followed by Germany and the United Kingdom. Business segment: Amazon Web Services Amazon Web Services, commonly referred to as AWS, is one of the strongest-growing business segments of Amazon. AWS is a cloud computing service that provides individuals, companies and governments with a wide range of computing, networking, storage, database, analytics and application services, among many others. As of the third quarter of 2020, AWS accounted for approximately 32 percent of the global cloud infrastructure services vendor market.

General description. This dataset contains a set of non-linear registration warps between some of the most commonly used rhesus macaque brain templates (D99, INIA19, MNI macaque, NMT, Yerkes19). Non-linear registration warps were generated using ANTs. The code used to generate the warps and example code on how to use them to remap data between different standard spaces is available on GitHub as RheMAP (doi 10.5281/zenodo.3673082). The actual templates are not included in this dataset since redistribution is often not allowed. Links to there sources can be found in the documentation of RheMAP.

Rationale. Group analysis of (f)MRI data is commonly performed in a standard template space to which individual data is registered. The choice and adoption of such a standard space is becoming especially relevant now that data sharing initiatives make it much more feasible to obtain larger sample sizes. For human fMRI, the MNI template provides a widely adopted standard space. For non-human fMRI, widely adopted standard templates are often lacking. In 2018, the PRIME-DE (PRIMatE Data Exchange) consortium launched a platform for the exchange of non-human primate MRI data. The initiative was expanded in 2020 with PRIME-RE (PRIMatE Resource Exchange) that aims to provide a portal to analysis approaches related to the non-human primate MRI. Since the generation of non-linear registrations between different brains is a timely and computationally heavy operation, we have created a set of non-linear registration warps that allow the direct remapping of (f)MRI data across different common template brains. Since the code for this approach is also provided, the set can easily be expanded to include additional template brains.

Code. All code and extensive documentation is available on GitHub as RheMAP. The RheMAP repository is also archived by Zenodo under doi 10.5281/zenodo.3673082.

Data structure. The data is provided both as a directory structure compressed as all_the_data.zip (preferred way) and as individual files. The correspondence between the directory structure and the individual files is contained in the file tree.json (uploaded as tree.json.txt due to issues with the Zenodo uploader). The bash command source unflatten.sh can be used to convert the individual files into the original directory structure. The warps/linear folder contains the affine registration, the warps/nonlinear folder contains the nonlinear warps of the already linearly aligned volumes, and the warps/final folder contains the full warps across templates. Similarly, the warped_templates/linear folder contains the results of the affine registration, the warped_templates/nonlinear folder contains the results of the nonlinear registration of the already linearly aligned volumes, and the warped_templates/final folder contains the results of all final template-to-template registrations (linear + non-linear).

Diagnostic images. A set of diagnostic images is included for quality control and visual inspection of the results:

• 00_RegisterTemplates.pdf outlines the general approach.
• 01_Templates.pdf displays the included template brains.
• 02_Linear_reg.pdf outlines gives the results of linear alignment.
• 03x_

NaDIA-Harms is a mandatory year-round collection of four harms that can occur to diabetic inpatients in Acute hospitals in England. The objective of NaDIA Harms is to help reduce the rates of serious inpatient harms by collecting and providing case mix adjusted benchmarked feedback to hospital trusts to inform quality improvement work. Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. What information is being made available? National Diabetes Inpatient Audit – Harms data for 2019 is available at national level for: Audit participation The number of harms

Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister restated the commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. The National Lung Cancer Audit (NLCA) was identified as the pilot for this data release. The data was released in an open and standardised format for the first time in December 2011, and each year onward, data from the National Lung Cancer Audit will be made available in CSV format. The data are also being made available on the data.gov website. Covering all Strategic Clinical Networks and NHS Trusts in England, the data from the audit includes information about data completeness, audit process and outcome measures. The data will be available in a pdf format with the National Lung Cancer Audit 2014 annual report. ♯ What information is being made available? ♯ ☼ Measures about the process of care given to patients ☼ Information about care outcomes and treatment. ☼ The data also provides Audit participation by Trust and data completeness for the key fields. This data does not list data about individual patients nor does it contain any patient identifiable data. ♯ Using and interpreting the data ♯ Data from the National Lung Cancer Audit requires careful interpretation, and the information should not be looked at in isolation when assessing standards of care. Data is analysed either by cancer network or by place first seen in secondary care for the calendar year 2013 (except where noted). As a result, some trusts that only provide some specialist treatments for patients and do not routinely supply diagnostic data are not properly represented in these data. This is because all the analyses of the NLCA to date have been carried out by 'place first seen' and clinical networks. The ‘place first seen' most closely represents the Clinical Multi-Disciplinary Team (MDT) which makes the first treatment decisions (in partnership with representatives from the specialist centres who sit on these peripheral MDTs). We largely know the population base for these MDTs and that number provides the ‘denominator' for the outcome measures. It is much more difficult to define a population denominator for specialist centres and the treatment they provide is usually only one part of a complex care pathway. So taking the raw data at face value gives a very distorted picture both of their activity and performance. ♯ Accessing the data ♯ The data are being made available on the data.gov website. Each year three files of data from the National Lung Cancer Audit will be made available in CSV format. Trusts and Networks are identified by name and their national code. ♯ What does the data cover? ♯ The data measure levels of completeness for data submitted to the NLCA and measures of performance in the audit at trust level for key performance measures for assessing standards of care for lung cancer in secondary care. Details of these standards can be found in appendix 2 of the NLCA report. ♯ Are all Trusts included? ♯ All Trusts in England that manage patients diagnosed with lung cancer (excluding mesothelioma) are included. The audit also covers Wales. ♯ What period does the data cover? ♯ This data were extracted from the NLCA database in July 2014 and covers patients first seen in the calendar year 2013 (except where noted).

Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. Each year data from the National Diabetes Audit will be made available in CSV format. The data are also being made available on the data.gov website. What information is being made available? Audit participation by Primary Care Trusts (PCTs) Measures about the process of care given to patients. Information about care outcomes and treatment. Information about complications and mortality PCTs are identified by name and their national code. These data do not list individual patient information, nor do they contain any patient identifiable data. The National Diabetes Audit is a high profile, collaborative, national clinical audit for diabetes. The National Diabetes Audit was run by the NHS Information Centre with Diabetes UK and Yorkshire and Humber Public Heath Observatory, commissioned by HQIP. The audit aims to improve the quality of care in people with diabetes. It meets the requirements as set out in the NICE guidelines. The National Diabetes Audit 2010/11 covers the time period from 1 January 2010 up to 31 March 2011 with information from GP Practices and specialist diabetes units in England.

The information available from this webpage comes from the National Diabetes Inpatient Audit. The National Diabetes Inpatient Audit is a snapshot audit of diabetes inpatient care. During September 2019, hospitals across England collected data on the characteristics of the hospital, including participation, staffing levels and care improvement initiatives. Wales did not participate in NaDIA 2019. Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. What information is being made available? National Diabetes Inpatient Audit data for 2019 is available at hospital site level for: Audit participation and data completeness for the key fields Measures about the process of care given to patients Information about care outcomes and treatment. These data do not list individual patient information nor do they contain any patient identifiable data. Using and interpreting the data Data from the National Diabetes Inpatient Audit should not be looked at in isolation when assessing standards of care. Accessing the data The data are being made available on the data.gov website. Each year a data file from the National Diabetes Inpatient Audit will be made available in CSV format. Hospitals are identified by name and their national code. What period does the data cover? This report covers hospital characteristics during September 2019. The audit report was published on 13 November 2020. Historic data is available for previous audit years (2010-2013, 2015-2017) where survey questions were comparable.

The information available from this webpage comes from the 8th National Audit of Pulmonary Hypertension (NAPH). The NAPH sets out to measure the quality of care provided to people referred to pulmonary hypertension services in Great Britain. Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. What information is being made available? NAPH data for 2016-17 is available at PH centre level for: National Standards Reference data NAPH data for 2016-17 is available at Great Britain level for: National Standards Survival analysis Reference data These data do not list individual patient information nor do they contain any patient identifiable data. Using and interpreting the data Data from the NAPH should not be looked at in isolation when assessing standards of care. Accessing the data The data are being made available on the data.gov website. Each year a data file from the NAPH will be made available in CSV format. Hospitals are identified by name and their national code. What does the data cover? The audit looks at the following areas: The 12 National Standards Survival Analysis Reference tables relating to patients and drug therapies What period does the data cover? This data covers the Pulmonary Hypertension standards and survival analysis from the 2016-17 NAPH for the period 1 April 2016 to 31 March 2017. Data is also available for previous audit years from 2009-10. This National Report was published on 31 October 2017.

This deposit contains three do files which were constructed as part of the project “Intergenerational income mobility: Gender, Partnerships and Poverty in the UK”, UKRI grant number ES/P007899/1. The aim of the do files is to convert partnership, fertility, and labour market activity information provided with the age 55 wave of the National Child Development Study into monthly panel format. There are separate do files to do this for each of the three aspects.This important new work looks to fill an 'evidence deficit' within the literature on intergenerational economic mobility by investigating intergenerational income mobility for two groups who are often overlooked in existing research: women and the poorest in society. To do this, the research will make two methodological advancements to previous work: First, moving to focus on the family unit in the second generation and total family resources rather than individual labour market earnings and second, looking across adulthood to observe partnership, fertility and poverty dynamics rather than a point-in-time static view of these important factors. Specifically it will ask four research questions: 1) What is the relationship between family incomes of parents in childhood and family incomes of daughters throughout adulthood? The majority of previous studies of intergenerational income mobility have focused on the relationship between parents' income in childhood and sons' prime-age labour market earnings. Women have therefore been consistently disregarded due to difficulties observing prime-age labour market earnings for women. This is because women often exit the labour market for fertility reasons, and the timing of this exit and the duration of the spell out of the labour market are related to both parental childhood income and current labour market earnings. This means that previous studies that have focused on employed women only are not representative of the entire population of women. By combining our two advancements, considering total family income and looking across adulthood for women, we can minimise these issues. The life course approach enables us to observe average resources across a long window of time, dealing with issues of temporary labour market withdrawal, while the use of total family income gives the most complete picture of resources available to the family unit including partner's earnings and income from other sources, including benefits. 2) What role do partnerships and assortative mating play in this process across the life course? The shift to focusing on the whole family unit emphasises the importance of partnerships including when they occur and breakdown and who people partner with in terms of education and current labour market earnings. Previous research on intergenerational income mobility in the UK has suggested an important role for who people partner with but has been limited to only focusing on those in partnerships. This work will advance our understanding of partnership dynamics by looking across adulthood at both those in partnerships and at the importance of family breakdown and lone parenthood in this relationship. 3) What is the extent of intergenerational poverty in the UK, and does this persist through adulthood? The previous focus on individuals' labour market earnings has often neglected to consider intergenerational income mobility for the poorest in society: those without labour market earnings for lengthy periods of time who rely on other income from transfers and benefits. The shift in focus to total family resources and the life course approach will allow us to assess whether those who grew up in poor households are more likely to experience persistent poverty themselves in adulthood. 4) What is the role of early skills, education and labour market experiences, including job tenure and progression, in driving these newly estimated relationships? Finally our proposed work will consider the potential mechanisms for these new estimates of intergenerational income mobility for women and the poorest in society for the first time and expand our understanding of potential mechanisms for men. While our previous work showed the importance of early skills and education in transmitting inequality across generations for males, this new work will also consider the role of labour market experiences including job tenure and promotions as part of the process. The NCDS covers all children in England, Scotland and Wales born in one week in 1958. The archived materials are do files that alter the format of existing NCDS datasets to create derived datasets. Original data can be accessed via Related Resources.

In recent years, the advent of a new generation of radial velocity instruments has allowed us to detect lower and lower mass planets, breaking the one Earth-mass barrier. Here we report a new milestone in this context, by announcing the detection of the lightest planet measured so far using radial velocities: L 98-59 b, a rocky planet with half the mass of Venus which is part of a system composed of three known transiting terrestrial planets (planets b to d). We announce the discovery of a fourth non-transiting planet with a minimum mass of 3.06_-0.37_^+0.33^M_{Earth) and an orbital period of 12.796-0.019_^+0.020^ days and report hints for the presence of a fifth non-transiting terrestrial planet. If confirmed, with a minimum mass of 2.46_-0.82_^+0.66^M_{Earth} and an orbital period 23.15-0.17_^+0.60^ days, this planet would sit in the middle of the habitable zone of the L 98-59 system. L 98-59 is a bright M-dwarf located 10.6pc away. Positioned at the border of the continuous viewing zone of the James Webb space telescope, this system is destined to become a corner stone for comparative exoplanetology of terrestrial planets. The three transiting planets have transmission spectrum metrics ranging from 49 to 255 which undoubtedly make them prime targets for atmospheric characterization with the James Webb space telescope, the Hubble space telescope, Ariel or ground-based facilities like NIRPS or ESPRESSO. With equilibrium temperature ranging from 416 to 627K, they offer a unique opportunity to study the diversity of warm terrestrial planets without the unknowns associated with different host stars. L 98-59 b and c have densities of 3.6_-1.5_^+1.4^ and 4.57_-0.85_^+0.77^g/cm^3^ respectively and have very similar bulk compositions with a small iron core, representing only 12 to 14% of the total mass, and a small amount of water. However, with a density of 2.95_-0.51_^+0.79^g/cm^3^ and despite a similar core mass fraction, up to 30% of L 98-59 d's mass could be made of water.

Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. The National Diabetes Foot Care Audit (NDFA) is a continuous audit of diabetic foot disease in England and Wales. The audit enables all diabetes foot care services to measure their performance against NICE clinical guidelines and peer units, and to monitor adverse outcomes for people with diabetes who develop diabetic foot disease. What information is being made available?  Trust, service, sustainability and transformation partnership (STP), and clinical commissioning group (CCG) audit participation and data completeness for the key fields Measures about the process of care given to patients  Information about care outcomes and treatment. These data do not list individual patient information nor do they contain any patient identifiable data. Using and interpreting the data Data from the National Diabetes Foot Care Audit should not be looked at in isolation when assessing standards of care. Accessing the data The data are being made available on the data.gov website. Each year a data file from the National Diabetes Foot Care Audit will be made available in CSV format. Trusts and CCGs are identified by name and national code. Foot care services and STPs are identified by name and locally derived code. What does the data cover? The audit looks at the following areas: Structures: are the nationally recommended care structures in place for the management of diabetic foot disease? Processes: does the treatment of active diabetic foot disease comply with nationally recommended guidance? Outcomes: are the outcomes of diabetic foot disease optimised? What period does the data cover? This data covers patients first seen with a diabetic foot ulcer by a specialist foot team between 14 July 2014 and 31 March 2017. This National Report was published on 14 March 2018.

Making clinical audit data transparent. In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. Each year data from the National Head and Neck Cancer Audit will be made available in CSV format. The data are also being made available on the data.gov website. What information is being made available? Audit participation by NHS Trust and data completeness for the key fields. Measures of aspects of the care given to patients. Information about care outcomes and treatment. Trusts and Networks are identified by name and their national code. These data do not list individual patient information, nor do they contain any patient identifiable data. The National Head and Neck Cancer Audit focuses on cancer sites within the head and neck (excluding tumours of the brain and thyroid cancers). The most common of which are the larynx, oropharynx and in the oral cavity. The National Head and Neck Cancer Audit is commissioned and sponsored by the Healthcare Quality Improvement Partnership (HQIP) and developed in partnership with the British Association of Head and Neck Oncologists (BAHNO). The Health and Social Care Information Centre provides project management and technical infrastructure. The National Head and Neck Cancer Audit 2012, Eighth Annual Report provided information that represents 7726 cases of head and neck cancer from England and 546 cases from Wales. The report, therefore, represents a comprehensive overview of head and neck cancer care, and this supporting dataset contains those England indicators in the report. The National Head and Neck Cancer Audit 2011-2012 covers the time period from 1st November 2011 to 31st October 2012. Trusts and networks within England are included.

Making clinical audit data transparent. In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. The National Oesophago-Gastric Cancer Audit covers the quality of care given to patients with Oesophago-Gastric (OG) cancer. The audit evaluates the process of care and the outcomes of treatment for all OG cancer patients, both curative and palliative. From April 2012, the audit has been extended to include patients with Oesophageal High-Grade Dysplasia (HGD). The National Oesophago-gastric Cancer Audit is a high profile, collaborative, national clinical audit for oesophago-gastric cancer run jointly by The Health and Social Care Information Centre, The Association of Upper Gastrointestinal Surgeons of Great Britain & Ireland (AUGIS), British Society of Gastroenterologists (BSG) and The Clinical Effectiveness Unit at the Royal College of Surgeons of England. The audit aims to improve the quality of care and survival of patients with Oesophago-gastric cancer. It meets the requirements as set out in the NHS Cancer Plan and NICE guidelines. Accessing the data The data are being made available on the data.gov website. Each year files of data from the National Oesophago-Gastric Cancer Audit will be made available in CSV format. Trusts and Networks are identified by name and organisation code. What does the data cover? The data measures levels of completeness for data submitted to the National Oesophago-Gastric Cancer Audit and measures of performance and participation in the audit at trust level for key performance measures. Further details of these can be found in the annexes of the National Oesophago-Gastric Cancer Audit Report 2015. Audit participation by NHS Trust and data completeness for the key fields. Measures about the process of care given to patients. Information about care outcomes and treatment. These data do not list individual patient information, nor do they contain any patient identifiable data. Are all Trusts included? All Trusts in England and Wales that manage patients diagnosed with oesophago-gastric cancer are included. What period does the data cover? The National Oesophago-gastric Cancer Audit 2015 covers the time period from 1st April 2012 to 31st March 2014 and includes hospital sites within England and Wales.

Abstract copyright UK Data Service and data collection copyright owner.This study aims to assess the electorate's attitudes towards Britain's economic situation. Main Topics: Attitudinal/Behavioural Questions Satisfaction/dissatisfaction with way Government is running country/Mr Callaghan as Prime Minister/Mrs Thatcher as Leader of Opposition. Intended vote if there was a General Election, party most inclined to support. Degree of seriousness of Britain's economic problems and who is most to blame (Government/Trade Unions/employers), whether Government is taking the right action. Whether wage rises kept pace with price rises previous year, whether unemployment is likely to increase or decrease in near future, whether would prefer a cut in everyone's living standards or a slight rise in unemployment in order to solve Britain's economic problems. Whether family income is same/more/less than a year ago, whether family is better off/worse off/about the same financially as a year ago, whether it is easier/more difficult/same to make ends meet. Background Variables Sex, marital status, whether head of household, age cohort, age finished full-time education, social class, television area, registered elector, employment status, accomodation tenure, telephone ownership, household composition, children's age cohort, income, number of electors/non-electors, occupation of head of household. No information recorded Face-to-face interview