AndreaBozzo/ceres-open-data-index huggingface dataset:
Council spending

The government recommends that local authorities publish expenditure over £500 and all expenditure made on purchasing cards. As of January 2014 and in line with our commitment to openness and transparency we will now be publishing ALL transactions (note; areas may be redacted as they may be commercially sensitive or there may be data protection issues).

Local Government Transparency Code 2015
---------------------------------------

*   This is a key dataset which the government wants local authorities to publish.
*   [https://www.gov.uk/government/publications/local-government-transparency-code-2015](https://www.gov.uk/government/publications/local-government-transparency-code-2015)

Tags: 500, CC, dclg, expenditure, finance, spending, str
Organization: Leeds City Council
Business rates

Information on all business who pay business rates in Leeds. Information includes business name, rateable value and full postal address.

For a visualisation of the information contained in this data set please visit [ODI Leeds](https://odileeds.org/projects/business-rates/)

Information
-----------

*   Individuals who are registered and work from their home address have been removed for data protection purposes.
*   After Friday 27th October 2017, the business rates dataset will be updated quarterly.

Blog
----

*   Check out this blog written by strategist [Edafe Onerhime](mailto:edafe@ekoner.com). Edafe does not work for Leeds City Council and the comments contained in the blog are her views:
*   [http://ekoner.com/2015/05/06/the-missing-guide-to-leeds-business-rates-open-data/](http://ekoner.com/2015/05/06/the-missing-guide-to-leeds-business-rates-open-data/)

Tags: CC, business rates, rateable value, rates, str
Organization: Leeds City Council
Translink Bus & Rail Stations

This service contains Translink bus and rail stations data.

Tags: Bus, Bus Stations, Bus and Rail, DRD, Department of Regional Development, INSPIRE, Integrated, Metadata, NI, NIR, Northern Ireland, Passengers, Public, Public Government Services, Rail, Rail Transport, Railway Station, Railway Stations, Railways, Railways NI, Translink, Transport, Transport Networks
Organization: OpenDataNI
FCA: The retail intermediary market 2020

The FCA provides a latest analysis of the intermediary sector based on data drawn from the Retail Mediation Activities Return (RMAR) for 2020.

Firms that provide advice on, or arrange, mortgages, insurance policies or retail investment products for consumers must send the FCA information about their activities on the RMAR.

The FCA uses this information to help it supervise the activities of these intermediary firms and inform its other regulatory functions. It has published data from the RMAR since 2016. This analysis gives an update on firms in the retail intermediary sector based on data for 2020.

The data reflects returns submitted to us by firms for periods ending within 2020. Firms have different reporting cycles, so the extent to which their data covers the coronavirus (COVID-19) affected period from March 2020 will vary from firm to firm.

Organization: Financial Conduct Authority (FCA)
GSNI Tellus Rural Soil Survey

The Geological Survey of Northern Ireland (GSNI) and the British Geological Survey (BGS) completed a regional geochemical survey of Northern Ireland's soils between 2004 and 2006. Sampling and quality control were undertaken according to the G-BASE protocol of BGS. 6,862 sites were sampled (at depths of 20 cms and 50 cms) an average of one site per 2 km2.

See https://www.opendatani.gov.uk/dataset/rural-soil-survey/resource/330e2a8f-db4e-42ec-9a66-145a5eb07c93 for methodology and detection limits.

Tags: Geochemical Data, Rural, Soil, Survey
Organization: OpenDataNI
FCA: Access to cash coverage in the UK 2021 Q1

The FCA provides an overview of geographical cash access coverage in the UK at the end of the first quarter of 2021. This is the first in a series of regular updates that will monitor coverage over time.

The FCA, together with the Payment Systems Regulator (PSR), gathered data on cash access point locations and other access characteristics, including temporary closures, opening hours, and accessibility, for brick-and-mortar and mobile bank and building society branches, automated teller machines (ATMs), and the Post Office network. This analysis provides insights on the proportion of the population within a range of distances of certain types of cash access points measured from where people live.

The FCA estimates that for access to any bank, building society, or Post Office branch, or any ATM (either free or pay-to-use):

* 95.6% of the UK population are currently within 2km of a cash access point
* 99.7% of the UK population are currently within 5km of a cash access point

For free-to-use access points only:

* 95.4% of the UK population are currently within 2km of a cash access point
* 99.7% of the UK population are currently within 5km of a cash access point

Our analysis of other access characteristics finds that:

* About 14% of larger personal current account (PCA) providers, that is, larger banks and building societies which offer PCA, and 10% of other bank and building society branches were temporarily closed for 1 day or more during the first quarter of 2021.
* At the end of the first quarter of 2021, the vast majority of bank and building society branches were operating on reduced hours compared to February 2020.
* Of the brick-and-mortar bank and building society branches, 63% of larger PCA providers and 55% of other branches are wheelchair accessible, have step-free access, and have a hearing/induction loop. Excluding the branches for which some values are unknown as data was not provided, these percentages are 87% and 80% respectively.

Organization: Financial Conduct Authority (FCA)
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: Driving Standards Agency
Green Space

Policy from the South Worcestershire Development Plan. Designated as Policy SWDP38, this dataset shows the Green Spaces.

Released to comply with the INSPIRE directive. For personal non commercial use under the Ordnance Survey PSGA INSPIRE End User Licence.
Upon accessing this Licensed Data you will be deemed to have accepted the terms of the INSPIRE End User Licence.    https://www.ordnancesurvey.co.uk/documents/licensing/inspire-end-user-licence.pdf 

Organization: Worcester City Council
Derg And Mourne Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:10pt">Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Bush Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Ballinderry Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Larne Lough Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Burn Dennet and Foyle Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Lagan Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Lower Bann Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Belfast Lough Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Owenkillew Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Roe Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Faughan Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Glens Rathlin Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
Carlingford and Newry Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
LIDAR Composite DTM 2019 - 1m

This dataset is no longer available on the Data Services Platform.
New version of this dataset, published in June 2020 is available here:
https://environment.data.gov.uk/dataset/668881ad-4f8f-42bd-b835-89acf0269496 and on Survey Data Catalogue. 

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering >80% of England at 1m spatial resolution. Produced by the Environment Agency in 2019, this dataset is derived from a combination of our Time Stamped archive and National LIDAR Programme, which has been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.  

The 2019 LIDAR Composite contains surveys undertaken between 6th June 2000 and 1st September 2019. Please refer to the survey index files which shows, for any location, what Time Stamped survey or National LIDAR Programme block went into the production of the LIDAR composite for a specific location. 

The DTM (Digital Terrain Model) is produced from the last return LIDAR signal. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface. Available to download as GeoTiff files in 5km grids, data is presented in metres, referenced to Ordinance Survey Newlyn, using the OSTN’15 transformation. All LIDAR data has a vertical accuracy of +/-15cm RMSE.  

Light Detection and Ranging (LIDAR) is an airborne mapping technique, which uses a laser to measure the distance between the aircraft and the ground. Up to 500,000 measurements per second are made of the ground, allowing highly detailed terrain models to be generated at spatial resolutions of between 25cm and 2 metres. The Environment Agency’s open data LIDAR archives includes the Point Cloud data, and derived raster surface models of survey specific areas dating back to 1998 and composites of the best data available in any location. 

This metadata record is for Approval for Access product AfA458.  

Attribution statement: (c) Environment Agency copyright and/or database right 2020. All rights reserved. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: OpenData
Organization: Environment Agency
LIDAR Composite DTM 2019 - 2m

This dataset is no longer available on the Data Services Platform.
New version of this dataset, published in June 2020 is available here:
https://environment.data.gov.uk/dataset/73c25700-052a-4d3e-87cf-71326fe2d73a and on Survey Data Catalogue.


The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering >85% of England at 2m spatial resolution. Produced by the Environment Agency in 2019, this dataset is derived from a combination of our Time Stamped archive and National LIDAR Programme, which has been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.  

The 2019 LIDAR Composite contains surveys undertaken between 12th March 1998 and 1st September 2019. Please refer to the survey index files which shows, for any location, what Time Stamped survey or National LIDAR Programme block went into the production of the LIDAR composite for a specific location. 

The DTM (Digital Terrain Model) is produced from the last return LIDAR signal. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface. Available to download as GeoTiff files in 5km grids, data is presented in metres, referenced to Ordinance Survey Newlyn, using the OSTN’15 transformation. All LIDAR data has a vertical accuracy of +/-15cm RMSE.  

Light Detection and Ranging (LIDAR) is an airborne mapping technique, which uses a laser to measure the distance between the aircraft and the ground. Up to 500,000 measurements per second are made of the ground, allowing highly detailed terrain models to be generated at spatial resolutions of between 25cm and 2 metres. The Environment Agency’s open data LIDAR archives includes the Point Cloud data, and derived raster surface models of survey specific areas dating back to 1998 and composites of the best data available in any location. 

This metadata record is for Approval for Access product AfA458.  

Attribution statement: (c) Environment Agency copyright and/or database right 2020. All rights reserved. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: OpenData
Organization: Environment Agency
Quoile Network Contribution

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</SPAN></P></DIV></DIV></DIV>

Tags: High Network Contribution, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity
Organization: OpenDataNI
National Audit of Inpatient Falls 2020

National Audit of Inpatient Falls Data from March 2020 facilities audit, reported on in Interim Annual Report, published May 2021. 

Falls are the most frequently reported incident affecting hospital inpatients, with 247,000 falls occurring in inpatient settings each year in England alone (NHS Improvement). The data collected by NAIF and presented below provide  opportunity to identify areas in which to enhance the quality of care for people who sustain an inpatient hip fracture.

In April 2020, due to the COVID-19 pandemic, submission of audit data was
made non-mandatory. To help organisations catch up with data inputting, NAIF extended the clinical audit deadline to the end of 2020. This means that
instead of publishing a single report combining clinical and facilities data,
this interim report describes facilities data (facilities audit open March to August 2020) and further analysis of inpatient hip fractures from the National Hip Fracture Database. Clinical data will be published in a separate report in Autumn 2021. 

Organization: Healthcare Quality Improvement Partnership
Radionuclide biological half-lives for farm animals

[This dataset is embargoed until September 6, 2021]. Data comprise a compilation of quality-controlled biological half-life values (and associated information) from a literature review for animals (mainly farm livestock) which contribute to the human food chain. The dataset contains almost 650 entries for 12 animal types (cattle, sheep, goats, deer, geese, hens, horses, pigs, rabbits, camels, ducks and red grouse) of importance to the human food chain for 32 elements relevant to radiological protection. Entries include values for milk, muscle (meat), eggs, whole body, carcass and various tissues (e.g. liver and kidney); the number of entries available for each element/food-chain product combination is highly variable. The dataset also contains values for other sample types (e.g. urine, faeces etc.) that are not associated with the human food but are presented as the data appeared in the same source reference as those values for human food chain products and they may be useful for modelling purposes. All the source references consulted during the review are provided. The study was conducted as part of the CONFIDENCE project which is part of the CONCERT EJP, which receives funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 662287. Full details about this dataset can be found at https://doi.org/10.5285/d26ea56a-a692-427c-8f5a-a9bb6eb7da6b

Tags: Biological, Element, Environmental Monitoring Facilities, Farm animal, Food chain, Half-life, Radionuclide, Review, food product, meat, milk, tissue
Organization: Environmental Information Data Centre
FCA: Product sales data - 2020

The FCA collects data from the firms it regulates on what products they are selling. Firms operating in the mortgages, retail investments or protection sectors submit product transaction data to the FCA quarterly.

Firms report details of their sales of regulated mortgage contracts, retail investment products and certain pure protection products to retail and private customers. Firms report transaction-level data on both direct sales by their own sales forces and sales made by intermediaries.

The FCA uses the product sales data (PSD) to assist it in regulation of firms and to spot trends in the products sold in the UK market. The FCA publishes the aggregated PSD each year so that consumers and market participants can see what firms are selling and understand the trends.

Organization: Financial Conduct Authority (FCA)
Salt Bin - All Incidents

This dataset contains __all__ salt bin incidents in York recorded in City of York Council’s customer relationship management (CRM) tool from November 2019 onwards. Please note the dataset excludes incidents created in the last 14 days and that incidents with no end date are currently unresolved. For further information about salt bins and reporting salt bin problems please see the [City of York Council’s website](https://www.york.gov.uk/SaltBins).

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset. The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

Organization: City of York Council