AndreaBozzo/ceres-open-data-index huggingface dataset:
Agricultural Land Classification detailed Post 1988 survey ALCC01899

Survey name: Kesgrave, Land At Long Strops
Post 1988 Agricultural Land Classification (ALC) site survey data – scanned original paper maps and survey reports for individual sites surveyed in detail between 1989 and 1999 by the Ministry of Agriculture Fisheries and Food. Where Grade 3 is mapped this includes the subdivision of Grade 3 into subgrades 3a and 3b. Surveys use the current grading methodology as described in "Agricultural Land Classification of England and Wales," a link for which is provided with the data. Individual sites have been mapped at varying scales and level of detail from 1:5,000 to 1:50,000 (typically 1:10,000). Unedited sample point soils data and soil pit descriptions are also available for some surveys. 
Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Attribution statement: Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

Organization: Natural England
Agricultural Land Classification detailed Post 1988 survey ALCR26994

Survey name: Winkfield, Chavey Down Farm (Bracknell LP Wink/14)
Post 1988 Agricultural Land Classification (ALC) site survey data – scanned original paper maps and survey reports for individual sites surveyed in detail between 1989 and 1999 by the Ministry of Agriculture Fisheries and Food. Where Grade 3 is mapped this includes the subdivision of Grade 3 into subgrades 3a and 3b. Surveys use the current grading methodology as described in "Agricultural Land Classification of England and Wales," a link for which is provided with the data. Individual sites have been mapped at varying scales and level of detail from 1:5,000 to 1:50,000 (typically 1:10,000). Unedited sample point soils data and soil pit descriptions are also available for some surveys. 
Attribution statement: Natural England copyright. Contains Ordnance Survey data Crown copyright and database right [year]. Attribution statement: Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

Organization: Natural England
Attainment Data by Ward for Primary Schools

Attainment data for children at various stages in early years and primary education:

*   Early years foundation stage profile (EYFSP);
*   Year 1 Phonics;
*   Key Stage 1 (KS1);
*   Key Stage 2 (KS2).

The data is by school location, rather than by pupil residence, in determining which ward the data relates to. A list of schools by wards is also provided.

The data source is the National Consortium of Examination Results (NCER).

A summary of Calderdale school performance can be found on the Council website: [School performance tables](http://www.calderdale.gov.uk/v2/residents/education-and-learning/schools/school-performance-tables-and-statistics) .

School performance for individual schools can be found at [Compare school performance](http://www.education.gov.uk/schools/performance/geo/la381_all.html) .

Organization: Calderdale Metropolitan Borough Council
HambletonDC Tree Preservation Orders - Individual

Points representing individual and, groups of, individual trees included in Preservation Orders. Captured as applications are received, after a site visit. Locations inferred from drawings taken on site. 
REFVAL - Order Number TNUM - Number of tree within the order TREETYPE - Tree Type

Released to comply with the INSPIRE Directive
For personal non commercial use under the Ordnance Survey PSMA INSPIRE End User Licence

Organization: Hambleton District Council
HambletonDC Hedgerow Planning Applications

Polygons representing planning applications pertaining to Hedgerows in the Hambleton District
REFVAL - Planning application Number DCSTAT - Status of the application - PER - Permitted REF - Refused WDN - Withdrawn PDE - Decision Ongoing PCO - Consultation Ongoing

Released to comply with the INSPIRE Directive
For personal non commercial use under the Ordnance Survey PSMA INSPIRE End User Licence

Organization: Hambleton District Council
HambletonDC Open Spaces

Polygon representation of open spaces across Hambleton classified as Amenity, Provision for Children, Outdoor Sports, Recreational Areas for Families, Allotments and School Playing Fields and then by further sub categories.Data collected using consultation sessions with council staff for their local knowledge, followed up with a scoring review of play areas in the district.

Released to comply with the INSPIRE directive

For personal non commercial use under the Ordnance Survey PSMA INSPIRE End User Licence

Organization: Hambleton District Council
HambletonDC Town Centre Shop Classifications

Polygons representing the footprints of all the commercial properties in and around the five market towns of Hambleton. Every record is classfiied in accordance with its business type and the classification of retail area that it falls within i.e. Primary, Secondary or External. Shop front measurements are also given.

Released to comply with the INSPIRE directive
For personal non commercial use under the Ordnance Survey PSMA INSPIRE End User Licence

Organization: Hambleton District Council
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: Rural Payments Agency
Cancer Registration: Epidemiology of Renal Cancer (1985-2016)

National Cancer Registration And Analysis Service (NCRAS). (2018). Cancer Registration: Epidemiology of Renal Cancer (1985-2016) [Data set]. Public Health England. https://doi.org/10.25503/9H7X-TY21 

• PSEUDO_TUMOURID (Project specific Pseudonymised Tumour ID)

• AGE (aggregated in 3 categories: 0-44, 45-74, 75+) 

• GENDER (coded as Male and Female) 

• Ethnicity (coded as White, Non-white, Not-stated) 

• DIAGYEAR_GROUPED (year of diagnosis  aggregated in five year age bands)

• BASIS OF DIAGNOSIS (broken down by clinical,  clinical investigation, Cytology, Death Certificate, Histology of a metastasis, Histology of a primary tumour, Specific Tumour markers) 

• DCO (Diagnosis of death certificate only coded as N=No, Y=Yes, unknown) 

• SITE_ICD9 (valid 4-digit code, coded as 1890, 1891, blank) 

• SITE_ ICD10_o2 (cancer site coded as C64, C649, C65)

• GRADE (grade of tumour coded as 1, 2, 3, 4, G1, G2, G3, G4, GX)

• STAGE OF ONS (coded as 1 or blank)

• STAGE_BEST (where stage 1 is coded 1, 1A, 1B,1B1, 1E; stage 2 is coded as 2, 2A, 2B, 2S; stage 3 is coded as 3, 3A, 3B, 3C, 3S; stage 4 is coded as 4, 4A, 4B, 4C, 4S; unknown or cannot be staged is coded as 0, 6, ?, U, X, blanks) 

• STAGE_PATH (where stage 1 is coded 1, 1A, 1B, 1S; stage 2 is coded as 2, 2A, 2B; stage 3 is coded as 3, 3A, 3B, 3C; stage 4 is coded as 4, 4B; unknown or cannot be staged is coded as 0, 6, ?, 0A, 0IS, U, X, blanks) 

• TYPE 5 (Histology as recorded by ONS

• HISTOLOGY_CODED (histology as recorded by NCRAS)  

• HISTOLOGY_CODED_DESC (description of histology code as recorded by NCRAS)  

• QUINT 12 TO 16 (Quintile score [1-5], describing income deprivation where 1= least deprived to 5= most deprived)

• DEATHYEAR_GROUP (1985-1989, 1990-1994, [in 5 year age bands], 1995-1999, 2000-2004, 2005-2009, 2010-2014, 2015-2017)

Whenever it is possible and practicable to do so, data released by PHE will be anonymous and made available under an Open Government License. To render the data anonymous it must be stripped of direct identifiers and privacy by design methods applied in line with the rules layed out in the ISB Anonymisation Standard for Publishing Health and Social Care Data Specification (2013).


Organization: Public Health England
HambletonDC Tree Preservation Orders - Areas

Polygons representing areas of trees included in Preservation Orders. 
Captured as applications are received, after a site visit. Locations inferred from drawings taken on site. REFVAL - Order Number TNUM - Number of tree within the order TREETYPE - Tree Type

Released to comply with the INSPIRE directive
For personal non commercial use under the Ordnance Survey PSMA INSPIRE End User Licence

Organization: Hambleton District Council
Northern Ireland Multiple Deprivation Measures 2017

The 2017 Northern Ireland Multiple Deprivation Measures (NIMDM 2017) were published on 23rd November 2017. It provides information for 7 distinct types of deprivation, known as domains, along with an overall multiple deprivation measure (MDM). The NIMDM 2017 comprises of 38 indicators in total.

The NIMDM 2017 provide a mechanism for ranking areas within Northern Ireland in the order of the most deprived to the least deprived. However, they do not quantify the extent to which one area is more or less deprived than another.

The Northern Ireland Multiple Deprivation Measures 2017 report is available at https://www.nisra.gov.uk/publications/nimdm17-results 

Organization: OpenDataNI
Northern Ireland Business Register and Employment Survey

The Northern Ireland Business Register and Employment Survey (BRES) is a survey of employers in Northern Ireland that collects employee job counts.  Results are available according to gender, full or part-time working, industrial activity based on the Standard Industrial Classification (SIC2007) and location, subject to confidentiality constraints. 

The BRES covers employee jobs only. It excludes agriculture (but includes animal husbandry service activities and hunting, trapping and game propagation), self employed, HM Armed Forces, private domestic servants, homeworkers, Jobskills trainees without a contract of employment (non-employed status). Figures for the number of employees in Agriculture are available separately from the Department of Agriculture, Environment and Rural Affairs (DAERA) Agriculture Census. 


Organization: OpenDataNI
LIDAR - Lough Neagh Environs - 2017

Terrain (DTM) & Surface (DSM) elevation models of the environs of Lough Neagh derived from airborne LIDAR survey systems. 

Data is provided in __ASCII__ and __LAS__ formats.

A Digital Terrain Model (DTM) consists of a grid of regularly spaced points of known height which, when used with other digital data such as maps or orthophotographs, can provide a 3D image of the land surface. This data is typically provided in tiles of 1km x 1km containing elevations in a 1m x 1m grid. 

Tiles are grouped into four quadrant groups and can be downloaded by area as shown on the index ‘LiDAR_Extents_Grid_Index Map.pdf’. 

Data was acquired (surveyed) in April 2017.

This data is not supported. Supporting documentation has been provided to assist / offer guidance on the data itself.

__NOTE__: Large file sizes.

__DSM_DTM.zip:__  file size up to 240Mb.

__LAS_PartXofY.zip:__ files size up to 750Mb.

Organization: OpenDataNI
Datasets from Financial Abuse of Older People in Northern Ireland: The Unsettling Truth

Data generated from interviews about Financial Abuse, with 1,025 older people aged 60 or over, in the respondents home between 27th January and 2nd March 2016.  The survey asked 50+ questions, of which 29 were used to calculate a prevalence of Financial Abuse against older people. 

The sample of older people was representative of the older population by age, gender, location (Council area), and quintile of deprivation.
This survey also formed the basis of the "Levels of cold calls and scams of older people in Northern Ireland (December 2016)" report.

Organization: OpenDataNI
Disease Prevalence

Data has been collected annually since 2004/05.  A new GMS Contract was introduced in April 2004 and a fundamental funding stream called the Quality and Outcomes Framework (QOF) was introduced at that time.  QOF is a reward framework of indicators designed to remunerate general practices for providing good quality care to their patients.  An important feature of QOF is the maintenance of registers which allow prevalence of a number of long-term conditions to be calculated.  Register counts and prevalence per 1,000 GP registered population are published.  Where registers are age-specific, prevalence per 1,000 age-specific population are also published.

Organization: OpenDataNI
Health Inequalities Strategy Indicators

Health inequalities are the differences in health and wellbeing, risk or outcomes, between different groups of people. Tackling health inequalities requires knowledge about the factors affecting health. With input from key stakeholders we selected 12 indicators of health and the wider determinants of health which we will monitor over time. These indicators will improve our understanding of health inequalities.

Go to [Tackling London’s Health Inequalities](https://www.london.gov.uk/what-we-do/health/health-inequalities) for more information on the HIS Health Inequalities Strategy and the Indicators.

**Data and Resources**

The most recent data for each indicator will be available for download below:

**_Overall measures of health inequality:_**

1.  Slope Index of Inequality for Life Expectancy
2.  Healthy Life Expectancy
3.  Self-reported wellbeing:
    1.  Happiness
    2.  Life Satisfaction
    3.  Worthwhileness
    4.  Anxiety

**_More specific measures of health inequality:_**

4.  School Readiness at age 5
5.  Educational Achievement - Percentage of pupils achieving 5 or more GCSEs at grades A*-C (including English and Maths)
6.  Antenatal late booking - Percentage of pregnant women booking after 12wks +6 days
7.  Flu vaccination proportion of those >65 years and of those at risk
8.  Vulnerable road user risk of fatality or serious injury
9.  Homelessness
    1.  Statutory homelessness
    2.  Homelessness prevention
    3.  Change in number of rough sleepers
10.  Proportion of employees receiving lower income than the London Living Wage
11.  Unemployment rates – model-based estimates; proportion of resident population
12.  Childhood obesity - Proportion of children aged 4-5 classified as overweight or obese.

Organization: Greater London Authority
Unemployment benefit claims

This data has been taken from LGInform at http://lginform.local.gov.uk/ data reference ID 5470 

The figures show the numbers of people claiming unemployment benefits aged between 25-49 and living in Plymouth. The data is monthly and shows data ranging from Jan 2013 to May 2017.
  
Number of people claiming unemployment related benefits, aged 25-49 - This is the total number of people aged 24-49 claiming unemployment related benefits (Claimant Count). 

The Claimant Count is a measure of the number of people claiming benefits principally for the reason of being unemployed, based on administrative data from the benefits system.

From April 2015, the Claimant Count includes all Universal Credit claimants who are required to seek work and be available for work, as well as all Jobseeker's Allowance (JSA) claimants, between May 2013 and March 2015, the Claimant Count includes all out of work Universal Credit claimants as well as all JSA claimants prior to this the Claimant Count is a count of the number of people claiming JSA.

The Claimant Count includes people who claim unemployment related benefits but who do not receive payment. For example some claimants will have had their benefits stopped for a limited period of time by Jobcentre Plus. Some people claim JSA in order to receive National Insurance Credits.

The Claimant Count does not attempt to measure unemployment, which is a concept defined by the International Labour Organisation (ILO) as all those who are out of work, actively seeking work and available to start work. 

However, since the people claiming benefits are generally a particular subset of the unemployed, the Claimant Count can provide a useful indication of how unemployment is likely to vary between areas and over time.

The Claimant Count estimates provide the best available estimates of the number of people claiming unemployment related benefits in the UK. 

Source name: Nomis
Collection name: Claimant county by sex and age
Polarity: No polarity

Polarity is how sentiment is measured "Sentiment is usually considered to have "poles" positive and negative these are often translated into "good" and "bad" sentiment analysis is considered useful to tell us what is good and bad in our information stream



Organization: Plymouth City Council
Elections

This data has been taken from LGInform reference ID 3361.

It shows the percentage of overall turnout for local elections in Plymouth 
from 1997 up to 2016.
  
It shows the percentage of overall turnout for local elections - This metric is the overall percentage turnout for each main round of local council elections. 

It is calculated based on the total number of ballots reported divided by the total electorate (people eligible to vote) for the wards holding elections and is expressed as a percentage. 

Local councillors are elected for 4-year terms by the local community, at the end of this term elections are held for the relevant wards. 

The election cycle varies for different councils, some councils elect all of their councillors at the same time (once every four years), other councils elect half or a third of their councillors at each election. 

Therefore this should be kept in mind when comparing the figures for different councils. 
Source name: The Elections Centre, Plymouth University
Collection name: Local Elections Handbook

Polarity: No polarity

Polarity is how sentiment is measured "Sentiment is usually considered to have "poles" positive and negative these are often translated into "good" and "bad" sentiment analysis is considered useful to tell us what is good and bad in our information stream



Organization: Plymouth City Council
NELA Year 4 Hospital Level Data Spreadsheet 2018

Explanatory notes on the NELA Data:
- Timeframe – Data was collected from December 2016 to November 2017
- Please follow this link to see the Inclusion/Exclusion criteria - http://www.nela.org.uk/NELADocs  
- For an explanation as to why these indicators were selected and reported on please see the Fourth Patient Report of the National Emergency Laparotomy Audit – http://www.nela.org.uk/reports  
- Grey rows indicate Hospitals submitting less than ten cases in the Fourth year of data collection
- Cells with N/A mean that Data was not available / Not able to calculate
- Changes to variables:
              - "Proportion of patients reviewed by a consultant surgeon and/or a consultant anaesthetist before emergency laparotomy if pre-operative p-possum mortality risk >= 5%" - This standard has been changed for Year 4 of the NELA data collection, it includes reviews both in person and carried out remotely. 
              - "Time of booking" is no longer part of the NELA data collection. The name of the variable in Year 3 "Proportion of included cases where neither time of decision to operate nor time of booking for theatre was submitted" has therefore been renamed in Year 4 to "Proportion of included cases where no time of decision to operate for theatre was submitted".  Additionally the variable "Proportion of cases where interval from decision to operate (or time of booking) to arrival in theatre was appropriate to documented operative urgency (for cases with urgency <18 hours)" has been renamed in Year 4 to "Proportion of cases where interval from decision to operate to arrival in theatre was appropriate to documented operative urgency (for cases with urgency <18 hours)"

Organization: Healthcare Quality Improvement Partnership
NELA Year 4 Hospital Level Data Spreadsheet

Explanatory notes on the NELA Data:
- Timeframe – Data was collected from December 2016 to November 2017
- Please follow this link to see the Inclusion/Exclusion criteria - http://www.nela.org.uk/NELADocs  
- For an explanation as to why these indicators were selected and reported on please see the Fourth Patient Report of the National Emergency Laparotomy Audit – http://www.nela.org.uk/reports  
- Grey rows indicate Hospitals submitting less than ten cases in the Fourth year of data collection
- Cells with N/A mean that Data was not available / Not able to calculate
- Changes to variables:
              - "Proportion of patients reviewed by a consultant surgeon and/or a consultant anaesthetist before emergency laparotomy if pre-operative p-possum mortality risk >= 5%" - This standard has been changed for Year 4 of the NELA data collection, it includes reviews both in person and carried out remotely. 
              - "Time of booking" is no longer part of the NELA data collection. The name of the variable in Year 3 "Proportion of included cases where neither time of decision to operate nor time of booking for theatre was submitted" has therefore been renamed in Year 4 to "Proportion of included cases where no time of decision to operate for theatre was submitted".  Additionally the variable "Proportion of cases where interval from decision to operate (or time of booking) to arrival in theatre was appropriate to documented operative urgency (for cases with urgency <18 hours)" has been renamed in Year 4 to "Proportion of cases where interval from decision to operate to arrival in theatre was appropriate to documented operative urgency (for cases with urgency <18 hours)"

Organization: Healthcare Quality Improvement Partnership
Sample Simulacrum underlying tables

The Simulacrum (https://simulacrum.healthdatainsight.org.uk) is a synthetic dataset populated entirely with simulated cancer patients.  In order to enhance public understanding of the methodology used to create the simulacrum, a sample of the underlying data tables was released, along with an explanatory document (see additional resources).

Data within these tables shows incidences of simulation of underlying cause of death code (coded in ICD 10), the stage of the tumour (coded in UICC TNM) and the dose of chemotherapy prescribed to the patient (doses are recorded in mg or other applicable units depending on the drug), for some patients whose first tumours were breast and lung.

No specific disclosure controls are applied, as all counts are at all England level for three years of grouped data 2013-2015, and the denominator populations are large enough to pass the anonymisation standard for Health and Social Care data.

Organization: Public Health England