AndreaBozzo/ceres-open-data-index huggingface dataset:
OSPAR

This record is for Approval for Access product AfA023. The Convention for the Protection of the Marine Environment of the North-East Atlantic known as the OSPAR Convention 1998 (Oslo Convention 1972 & Paris Convention 1974), is an agreement signed by a number of European countries (including the United Kingdom) to protect the quality of the North East Atlantic. The objective of the OSPAR Convention is to take all possible steps to prevent and eliminate pollution entering the sea.
The OSPAR Convention provides standard methods for estimating the inputs of selected pollutants to the sea by using fixed sampling schedule and a standard input calculation.
All principal rivers are sampled monthly (12 times a year) just upstream of their tidal limits. For those rivers carrying the heaviest contaminant loads the sampling frequency maybe increased beyond the minimum of 12. Major trade effluents and sewage effluents to estuaries or coastal waters are also sampled monthly to assess direct discharges to marine waters. Flow values of discharges direct to estuary or sea are sometimes provided by the operators themselves. This is usually part of statutory monitoring arrangements.
The aim of these programmes is to assess the level of contamination entering the sea from England and Wales (the ‘load’) and to chart the progress in the reduction of this load.
The substances controlled under OSPAR are: Mercury, Cadmium, Copper, Zinc, Lead, PCB, gamma-HCH, Orthophosphate, Phosphorous (total), Nitrate, Nitrogen (total) and suspended particulate material. The load of contamination to the sea is measured at over 300 sites around the coast of England and Wales. These sites have been grouped into thirty two coastal zones.
OSPAR data is updated annually approximately 6 months through the year for the previous year. Data held ranges from 1998 to the present. It’s high/low based on twelve annual samples.
This product provides a pair of annual estimates for each sampling point, known as high load, and low load.
The difference between the high and low load estimates is owing to the way in which the samples with results at the 'limit of detection' are treated. The limit of detection is the lowest concentration of a substance that can be reliably measured – any real concentration lower than this level, including zero, is reported as being present at “less than” the limit of detection concentration.
Where the substance has been analysed for but the concentration is below the limit of detection, a calculation can be made assuming that it is not present at all (a low load estimate). Alternatively, a calculation can be made by assuming that the substance is present exactly at the limit of detection (a high load estimate). The low load calculation gives an optimistic estimate of the real load, whereas the high load calculation gives a pessimistic estimate. The real load discharged will be somewhere between these two figures. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: OpenData, marine environment, marine pollution, river, sampling
Organization: Environment Agency
Environment Agency and Natural England Public Facing Area Names v2

This is the controlled list of 14 operational area names, codes and descriptions of the Environment Agency and Natural England. This is the standard list for re-use across the Environment Agency and Natural England. The previous version contained only Environment Agency Area Names, but was updated to merge with Natural England public facing Areas. Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.

Tags: Administrative Boundary, OpenData
Organization: Environment Agency
1991 - 2014 Centre for Environment, Fisheries & Aquaculture Science (Cefas) Ecosystem model (ecopath with ecosim) Key Run for North Sea 1991-2013 - time series trends in biomass

Model outputs of time series data on the biomass, catch, mortality and feeding 
from 69 ecological groups in the North Sea, ranging from zooplankton, benthos, 
fish to seabirds and marine mammals. The 'key run' model is published in ICES 
WGSAM, and used in investigations of multispecies impacts of fisheries and 
response of ecosystems to fisheries and climate.





Organization: Centre for Environment, Fisheries & Aquaculture Science
National Diabetes Inpatient Audit (NaDIA) - 2013

The National Diabetes Inpatient Audit is a snapshot audit of diabetes inpatient care in England and Wales. The audit is set out to answer the following questions:

* Did diabetes management minimise the risk of avoidable complications?

* Did harm result from the inpatient stay?

* Was patient experience of the inpatient stay favourable?

* Has the quality of care and patient feedback changed since NaDIA 2010, NaDIA 2011 and NaDIA 2012?

This publication was produced in two parts: the comparative hospital-level analysis was published on 5 March 2014 and the National Report was published on 26 June 2014.

The National Diabetes Inpatient Audit (NaDIA) is commissioned by the Healthcare Quality Improvement Partnership (HQIP) and delivered by the Health and Social Care Information Centre, working with Diabetes UK.

Organization: NHS Digital
Map based index (GeoIndex) waste sites

This layer of the map based index (GeoIndex) shows the location of waste sites within England and Wales. The information is taken from an index listing of some 3500 waste sites in England and Wales identified by BGS as part of a survey carried out on behalf of the Department of the Environment in 1973. The index has been corrected and updated to a limited extent, but the data itself has not been changed. The data was collected in 1972 and the information reflects the knowledge at that time. It does not reflect current interpretation. Not all authorities made returns and there are not records for all of the sites listed. However, the data is an invaluable source of information about pre-1974 sites. The records themselves contain interpretations of the geology, ground and surface water risk assessments and information about the quantities and types of waste. Data visible at all map scales.

Tags: Aquifers, Ground water, Land filling, NERC_DDC, Pollution, Surface waters, Waste disposal
Organization: Scottish Government SpatialData.gov.scot
National Diabetes Foot Care Audit 2014-2018

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.

__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?__

Aggregated National Diabetes Foot Care Audit (NDFA) data for 2015-18 at NHS trust, specialist foot care service, sustainability and transformation partnership (STP), and clinical commissioning group (CCG) level.

__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 service between 1 April 2015 and 31 March 2018. This National Report was published on 9 May 2019.

Organization: NHS Digital
National Diabetes Inpatient Audit - Harms, 2018

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 2018 is available at national level for:

* Audit participation
* The number of harms

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 – Harms 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 - Harms will be made available in CSV format.

__What period does the data cover?__

The report covers impatient harms between May and October 2018. The audit report was published on 9 May 2019.

Organization: NHS Digital
DFID Workforce Management Information - Public body

Monthly management information on staff numbers and paybill costs in DFID.
For workforce numbers, both payroll and non-payroll (contingent labour, including consultants) information is provided, split between full-time equivalents (FTE) and headcount, with payroll staff numbers mapped to standard Civil Service grades.
For costs, payroll paybill information is broken down into its component parts i.e. salaries, allowances, employers pensions contributions etc. For non-payroll costs, these are split between costs for consultancy and those of other non-payroll workers.
Staffing numbers are as at the last day of the month for the reference month. Cost information is that for the reference month. For baseline 2010/11 returns, staffing numbers are as at 31 March 2011, and paybill costs are for the financial year 2010/11.

Organization: Department for International Development
Technology Tracker

The Technology Tracker started in 2004. This research measures awareness, access, use of and attitudes towards fixed and mobile telecoms, internet, multi-channel TV, and radio, among UK adults (aged 16+). 
Across the UK overall, and within each UK nation, the Technology Tracker provides detailed analysis by key population demographics, sub-region, and by urban vs. rural. It collects data that enable comparisons to be made with older data collected by Ofcom, informing Ofcom analysis, reports and decisions.

Up to and including 2014, there were three waves of research per year: from 2015 to 2017, there were two waves per year, in April and October. From 2018  there will be one wave of research per year.

The data have  been published in csv format since 2011. The datasets from 2011 to 2015 inclusive contain the chart data only: from 2016 onwards they will contain all the data from the .spss files.

Organization: Ofcom
News consumption in the UK

Ohe aim of this series of reports is to inform an understanding of news consumption across the UK, and within each UK nation.

The findings are published as part of our range of market research publications that examine people’s consumption of, and attitudes towards, different types of content on different platforms. The report also provides ‘share of references’ data. This is a cross-media measure used by Ofcom to compare the share of individual news sources, consumed across all platforms.

Organization: Ofcom
Consumer Concerns: Experience of nuisance calls

Data collected from a face-to-face survey of UK consumers about their concerns, issues or problems in the communications market, specifically with regard to nuisance calls. We are considering ceasing the Nuisance Calls Diary Study that previously run every other year, as we believe it no longer provides significant additional value to our understanding of experience of nuisance calls. The regular Nuisance Calls Tracker will still be continuing, dependent on our return to face to face fieldwork. 
If this change would adversely affect you then please email market.research@ofcom.org.uk by 21 September 2020 explaining how you currently use the study and the impact of no longer having this research study.

Organization: Ofcom
UK fixed-line broadband performance

Data on the performance of UK residential fixed-line broadband services.  These data show the actual broadband speeds received by a sample of consumers who have had speed monitoring equipment installed in their homes. The dataset shows the average performance of ADSL, cable and fibre broadband packages. We present this information at national average level as well as separately by package for the major internet service providers (ISPs). We publish this data to provide consumers and other stakeholders with useful comparative information on the performance of broadband services. This is consistent with Ofcom’s duty to carry out and publish research on the experience of consumers.

Organization: Ofcom
The Communications Market Report

The Ofcom Communications Market Report has been published every year since 2004. It is now an interactive data portal, which allows users to interrogate data collected from industry by Ofcom, data from Ofcom’s consumer research, as well as headline figures from selected third parties (including BARB and RAJAR). The interactive portal will be updated throughout the year.

The report contains statistics and analysis of the UK communications sector and is a reference for industry, stakeholders and consumers. It also provides context to the work Ofcom undertakes in furthering the interests of consumers and citizens in the markets we regulate. It includes data and analysis on broadcast television and radio, fixed and mobile telephony, internet take-up and consumption and post.

We publish this report to support Ofcom’s regulatory goal to research markets constantly and to remain at the forefront of technological understanding. It fulfils the requirements on Ofcom under Section 358 of the Communications Act 2003 to publish an annual factual and statistical report. It also addresses the requirement to undertake and make public our consumer research (as set out in Sections 14 and 15 of the same Act).

Organization: Ofcom
Telecoms and pay-TV complaints data

These files present complaints recorded by Ofcom against the largest telecoms and pay-TV providers. Since May 2015 we have released these quarterly datasets in csv format.


This information is intended to help consumers make better-informed decisions. We believe that the publication of such information is useful for consumers, especially those who are thinking about changing provider or purchasing a new service. We also believe that publication of provider-specific complaint volumes incentivises providers to improve their performance. 


Organization: Ofcom
National Diabetes Footcare Audit Hospital Admissions Report 2014-2016

__What information is being made available?__

Trust, service, and clinical commissioning group (CCG) audit participation and data completeness for the key fields

__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.

__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, CCGs and Networks are identified by name and their national code. Foot care services 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 8 April 2016. This National Report was published on 8 March 2017.

Organization: NHS Digital
Careers Advice and Guidance and University

This data relates to careers advice and guidance to year 11 and 12 pupils in Northern Ireland and their university aspirations. Data is presented for year 11 and 12 pupils on their confidence making career decisions, the support they require to achieve their career goals, their awareness of the all-age Careers Service, their knowledge of how to contact a Careers Adviser outside school and also their university aspirations. The data is derived from the Young Persons’ Behaviour and Attitudes Survey, carried out between September 2019 and February 2020.

Tags: Careers advice, Northern Ireland, University aspirations, Year 11 and 12 pupils
Organization: OpenDataNI
Organogram of Staff Roles & Salaries

Organogram (organisation chart) showing all staff roles. Names and salaries are also listed for the Senior Civil Servants.

Organogram data is released by all central government departments and their agencies since 2010. Snapshots for 31st March and 30th September are published by 6th June and 6th December each year. The published data is validated and released in CSV format and OGL-licensed for reuse. For more information about this series, see: http://guidance.data.gov.uk/organogram-data.html

Organization: Government Legal Department
National Diabetes Inpatient Audit (NaDIA) - 2018

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 and October 2018, hospitals across England and Wales collected data on the characteristics of the hospital, including participation, staffing levels and care improvement initiatives.

2018 was a designated NaDIA Quality Improvement Collaborative (QIC) year. To reduce the burden on QIC participants, the NaDIA 2018 collection undertook the Hospital Characteristics (HC) survey only.
# 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 2018 is available at hospital site level for:

* Audit participation
* Measures of staffing levels and care improvement initiatives.

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 does the data cover?
The audit looks at the following areas:
* Participation in the audit
* Inpatient staffing levels
* Take-up of care improvement initiatives
# What period does the data cover?
This report covers hospital characteristics during September and October 2018. The audit report was published on 9 May 2019. Historic data is available for previous audit years (2010-2013, 2015-2017) where survey questions were comparable.

Organization: NHS Digital
Higher Level Apprenticeships in Northern Ireland at Higher Education Institutions

The data details enrolments of Higher Level Apprenticeships, Level 6 and  7 at Higher Education Institutions in Northern Ireland for academic year 2018/19 and characteristics of the enrolled participants. The data is derived from the Higher Education Statistics Agency (HESA).

Tags: Economy, Education, Higher Level Apprenticeships, Skills, essential skills
Organization: OpenDataNI
National Diabetes Audit - Diabetes Prevention Programme, 2017-18 Diagnoses and Demographics

The information available from this webpage comes from the National Diabetes Audit - Diabetes Prevention Programme report. 

The NHS Diabetes Prevention Programme (NHS DPP) is a joint commitment from NHS England, Public Health England and Diabetes UK to deliver, at scale, evidence based behavioural interventions that can prevent or delay the onset of Type 2 diabetes in adults who have been identified as having non-diabetic hyperglycaemia.

This report uses data collected alongside the National Diabetes Audit (NDA) for the period January 2017 to March 2018 inclusive. 

This report is for England only. Unlike the NDA, it does not include information on Wales.

__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 Audit - Diabetes Prevention Programme data for 2017-18 is available at England, Clinical Commissioning Group (CCG) and GP practice-level for:

* Patient list size
* Patient demographics
* Diabetes characteristics
* Diabetes Prevention Programme take-up

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 Audit - Diabetes Prevention Programme 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 Audit - Diabetes Prevention Programme 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:

* Registrations and prevalence
* Offers of DPP
* Demographics

__What period does the data cover?__

This report covers data collected alongside the National Diabetes Audit (NDA) for the period January 2017 to March 2018 inclusive. The audit report was published on 11 July 2019. 

Organization: NHS Digital