AndreaBozzo/ceres-open-data-index huggingface dataset:
Volunteer Seabirds at Sea (VSAS) England Survey Data

Data from Volunteer Seabirds at Sea (VSAS) surveys completed in England, funded by the Marine Natural Capital and Ecosystem Assessment (mNCEA) programme. VSAS is a citizen science programme that trains volunteers to conduct ESAS surveys on vessels of opportunity around the UK. Surveys were conducted using the European Seabirds at Sea (ESAS) method and recorded seabirds, marine mammals, large fish and turtles observed during monthly surveys on three ferry routes out of ports in England. The three routes were Penzance to St Marys, Newhaven to Dieppe and Heysham to Dublin.

Organization: Marine Environmental Data & Information Network
2024 Balearic Shearwater Monitoring Survey Data

This dataset contains survey data collected in 2024 as part of the Balearic Shearwater monitoring project, which delivers data on the UK’s at-sea non-breeding Balearic shearwater population. Funding from the Marine Natural Capital and Ecosystems Assessment (mNCEA) programme allowed a combination of ESAS-trained JNCC surveyors and volunteer surveyors to be deployed on Cefas annual PELTIC survey (PELagic ecosystem in the western English Channel and eastern CelTIC Sea) to collect Balearic shearwater data. These data will increase the evidence base and data time series for this species.

Organization: Marine Environmental Data & Information Network
Datasets from sediment cores collected from the Semenov Hydrothermal Field during the RRS James Cook cruises JC224 (2022) and JC254 (2023)

This dataset comprises a variety of sediment core data from the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge, collected during RRS James Cook cruises JC224 (March - April 2022) and JC254 (October - November 2023). A total of 29 gravity cores, 9 mega-cores, and 25 push cores were successfully recovered. Analysis of the sediment core samples was conducted at the British Ocean Sediment Core Research Facility (BOSCORF), where the cores are held for long term storage, and included: imaging, spectrometry, geophysical and geochemical measurements of sediment and porewaters, radiocarbon dating, and stable isotope analysis. The main coring equipment used during both cruises was a gravity corer to collect sediment cores of up to 3 m in length. For JC224, a mega-core, with a USBL transponder attached to the frame, was used to obtain undisturbed cores from the upper 40 cm of the sediment surface. For JC254, push cores were also collected during several Remotely Operated Vehicle (ROV) dives using the Isis vehicle. The key objectives of the sediment coring were: (1) to reconstruct the history of the hydrothermal activity by dating plume fallout layers in the sedimentary record, and (2) to assess the role of the sediment cover in the preservation of seafloor massive sulphide (SMS) deposits in an ultra-slow spreading scenario. The data were collected as part of a PhD project funded under the Natural Environment Research Council (NERC) project Ultramafic-hosted mineral Resource Assessment (ULTRA) grant, NE/S004068/1. This collection consists only of the data collected under the PhD project and not all data associated with the ULTRA project.

Organization: Marine Environmental Data & Information Network
Hydrographic and biological time series data from the Western Channel Observatory (WCO) UK, from 1988 onwards, predominantly at stations L4 and E1

The data set comprises measurement of physical and biological oceanographic parameters from the Western English Channel, initially collected as part of the Plankton Monitoring Programme at Station L4 from 1988 onwards. L4 is one of a series of hydrographic stations in the Western English Channel which have also been the basis of a series of hydrographic surveys carried out during the 20th Century by scientists at the Marine Biological Association in Plymouth. In May 2002 sampling expanded to include Station E1, approximately 25 nautical miles south-west of Plymouth. Plankton Monitoring began through the work of the Plymouth Marine Laboratory (PML) Zooplankton Group. Other stations include Rame head, Jennycliff, Plmouth Deep and Cawsand. A long-term time-series of weekly observations has been established by exploiting the activities of small boats (Sepia, Squilla and Plymouth Quest) in an opportunistic way as by-product of their other sampling activities, for example the collection of live plankton, sea-water, trawling for fish and squid. Initially no formal research programme or long-term funding for the Plankton Monitoring existed but the series was included in NERC Oceans 2025 funding as a Sustained Observatory and continues to be funded under NERC National Capability. Funding has been provided over different time periods under various names but the programme is commonly referred to as the Western Channel Observatory (WCO), with additional funding allowing additional data collection to take place, taking advantage of the core measurements. Although every attempt has been made to standardise methodology and achieve data consistency it is important to recognize that the varied personnel and research objectives that have contributed to this dataset may impact on the nature of the data set. The core datasets are made available through the westernchannelobservatory.org website. Data are also submitted to BODC where it is archived and published with a DOI at finer granules. At BODC further meta(data) checks take place and metadata are enriched and served through BODC systems with PML originators informed of any changes to data.

Organization: Marine Environmental Data & Information Network
Output Area (2011) to Output Area (2021) to LAD (December 2022) Best Fit Lookup in EW

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'>A best fit lookup file between Output Areas (OA) as at December 2011 and OAs as at December 2021 in England and Wales.</span><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'><br /></span></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, Helvetica, Arial, sans-serif'><span style='font-size:17px;'>It contains all the 2011 OAs (181,408) and these point in polygon to the 2021 OAs full extent boundaries (which contains a total of 180,814, so 8,066 are missing from 2021 OAs)</span></font><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'><br /></span></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'>(File Size 9MB).</span><br /></div><div><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, Helvetica, Arial, sans-serif'><span style='font-size:17px;'><br /></span></font><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><p style='margin-top:0px; margin-bottom:0.0001pt;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt;'>Field Names – OA11CD, OA21CD, LAD22CD, LAD22NM, LAD22NMW</span></p><p style='margin-top:0px; margin-bottom:0.0001pt;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt;'>Field Types – Text, Text, Text, Text, </span><span style='font-family:Helvetica, sans-serif; font-size:15.3333px;'>Text</span></p><p style='margin-top:0px; margin-bottom:0.0001pt;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt;'>Field Lengths – 9, 9, 9, 40, 40</span></p></div></div></div><div><br /></div><div><div></div></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Output_Areas_2011_to_Output_Areas_2021_to_Local_Authority_District_2022_Loo_2022/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Output_Areas_2011_to_Output_Areas_2021_to_Local_Authority_District_2022_Loo_2022/FeatureServer</a></div></div>

Tags: 2021, Census Lookups, DEC_2021, England and Wales, LAD, LUP_BFT, LUP_BFT_LUP_OA_2011_OA_2021, LUP_BFT_OutputAs_2011_OutputAs_2021, LUP_OA_2021_LAD, Local Authority, Local Authority District, Local Authority Districts, Output Area, Output Areas
Organization: Office for National Statistics
International Territorial Levels Level 3 (January 2025) Names and Codes in the UK

<span style='font-family:Lato, &quot;Avenir Next&quot;; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'>This file contains names and codes for International Territorial Levels, Level 3 (ITL1) in the United Kingdom as at the 1st January 2025.  (File Size - 32 KB)</span><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'><span style='font-family:Lato, &quot;Avenir Next&quot;;'>Field Names - ITL325CD, ITL325NM</span><br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'><span style='font-family:Lato, &quot;Avenir Next&quot;; box-sizing:border-box; max-width:100%;'>Field Types - Text, Text</span></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'><span style='font-family:Lato, &quot;Avenir Next&quot;; box-sizing:border-box; max-width:100%;'>Field Lengths - 5, 70</span></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'><br /></div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0);'><span style='font-family:Arial, sans-serif; box-sizing:border-box; max-width:100%; font-size:11pt;'>To distinguish the UK classification from its EU predecessor, the UK-managed classification will be referred to as UK International Territorial Levels (ITLs). We are committed to ITLs aligning with international standards, enabling comparability both over time and internationally, and we will actively monitor global standards to ensure we are following and contributing to the development of world-class statistics. To ensure continued alignment between UK official statistics and international standards, the ITLs will be established as a mirror to the pre-existing NUTS system and will follow a similar timetable to the review of the NUTS system, meaning ITLs will be reviewed every 3 years. New official GSS codes will be developed for the ITL geography aligned with existing NUTS codes. Statistical users are encouraged to adopt the ITL geography from 1 January 2021 as a replacement to NUTS.</span></div>

Tags: 2025, Eurostat Names and Codes, ITL, ITL Level 3, International Territorial Levels, JAN_2025, Latest_Names_and_Codes, NAC_EUR, NAC_ITL3, UK, United Kingdom
Organization: Office for National Statistics
Deaths from Respiratory Disease

This data shows premature deaths (Age under 75) from Respiratory Disease, numbers and rates by gender, as 3-year range.

Smoking is the major cause of chronic obstructive pulmonary disease (COPD), one of the major Respiratory diseases. COPD (which includes chronic bronchitis and emphysema) results in many hospital admissions.  Respiratory diseases can also be caused by environmental factors (such as pollution, or housing conditions) and influenza. Respiratory disease mortality rates show a socio-economic gradient.

Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas.  The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death.

Data source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF) indicator 4.07i.  This data is updated annually.


Tags: deaths, health, respiratory disease
Organization: Lincolnshire County Council
Children in Care

The number of Children In Care at 31 March in the financial year, for Lincolnshire and by District.

This dataset shows the number of:

-	Children In Need
-	Children In Care by Home Address
-	Children In Care by Placement Address

The term 'Children In Care' includes all children accommodated by the local authority, i.e. those subject to a care order under section 31 of the Children Act 1989; and those looked after on a voluntary basis with the agreement of their parents under section 20 of that Act.

Numbers below 5 have been removed, and where needed one or more additional counts of 5 or greater have also been removed.  This means some records may be omitted and figures might not tally precisely.

The data is updated annually.  Data source: Lincolnshire County Council Children's Services.  For any enquiries about this publication contact  [childrenstargetedreporting@lincolnshire.gov.uk](mailto: childrenstargetedreporting@lincolnshire.gov.uk)


Tags: children, children in care, social care
Organization: Lincolnshire County Council
Average Rainfall and Temperature

Average Rainfall (mm) and average Temperature (centigrade) for the North East England and East England Met Office Climate district, which includes Lincolnshire.

This dataset shows the average Rainfall in millimetres and average Temperature in centigrade, by month, meteorological season, and annual calendar year.

The data is sourced from the UK Met Office website.  See the Source link for more information about the data and the area it covers.

Tags: environment, rainfall, temperature, weather
Organization: Lincolnshire County Council
Deaths from Liver Disease

This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages.

Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions.

Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas.  The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death.  Low numbers may result in zero values or missing data.

Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 40601 (E06a).  The data is updated annually.


Tags: deaths, health, liver disease
Organization: Lincolnshire County Council
Business Demography

Business demography data counts numbers of active businesses with turnover or employment in a reporting year.  It also indicates numbers of new businesses (business births) and numbers of businesses terminated (business deaths) during the reporting year.

Numbers and percentages of businesses that were newly created during years leading up to the latest reporting year, and which were still surviving, are also shown.

When using the data, comparative business birth or death rates may be constructed adhoc if needed, by dividing the number of births or deaths by the number of active businesses.

Please note that due to being required early in the reporting cycle, numbers of business deaths are provisional and may be subject to later revision.  For more information about the dataset and its methodology, see the source link.

Source: Office for National Statistics (ONS)


Tags: business, economy
Organization: Lincolnshire County Council
Emergency Hospital Admissions for Intentional Self-Harm (all ages)

Mental health and well-being is an important aspect of public health. Self-harm is an expression of personal distress. There is a significant and persistent risk of future suicide following an episode of self-harm.

This data shows self-harm events severe enough to warrant hospital admission.  Almost all hospital admissions for intentional self-harm are emergency admissions.  Although hospital admissions data is being used as a proxy for the prevalence of severe self-harm, this is only the tip of the iceberg in relation to the health and well-being burden of self-harm.

Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard European population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

Source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 2.10ii (21001-C14b). This data is updated annually.


Tags: health, hospital admissions, self-harm, suicide
Organization: Lincolnshire County Council
Adult Smoking Prevalence

This data shows the percentage of adults (age 18 and over) who are current smokers.

Smoking is the single biggest cause of preventable death and illnesses, and big inequalities exist between and within communities. Smoking is a major risk factor for many diseases, such as lung cancer, chronic obstructive pulmonary disease (COPD, bronchitis and emphysema) and heart disease. It is also associated with cancers in other organs.

Smoking is a modifiable lifestyle risk factor. Preventing people from starting smoking is important in reducing the health harms and inequalities.

This data is based on the Office for National Statistics (ONS) Annual Population Survey (APS).  The percentage of adults is not age-standardised.  In this dataset particularly at district level there may be inherent statistical uncertainty in some data values.  Thus as with many other datasets, this data should be used together with other data and resources to obtain a fuller picture.

Data source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF) indicator 92443 (Number 15). This data is updated annually.


Tags: adults, health, smoking
Organization: Lincolnshire County Council
Deaths from Suicide

This data shows deaths (of people age 10 and over) from Suicide and Undetermined Injury, numbers and rates by gender, as 3-year moving-averages.

Suicide is a significant cause of premature deaths occurring generally at younger ages than other common causes of premature mortality.  It may also be seen as an indicator of underlying rates of mental ill-health.

Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas.  The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

The figures in this dataset include deaths recorded as suicide (people age 10 and over) and undetermined injury (age 15 and over) as those are mostly likely also to have been caused by self-harm rather than unverifiable accident, neglect or abuse.  The population denominators for rates are age 10 and over.  Low numbers may result in zero values or missing data.

Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 41001 (E10).  This data is updated annually.


Tags: deaths, health, self-harm, suicide
Organization: Lincolnshire County Council
Employment by Broad Industrial Group

This data uses a national employer survey to show numbers and percentages of people employed in jobs in industries in each broad industrial group.  Data is shown for Lincolnshire and Districts, and also for smaller areas (such as Wards, and Lower super output areas (LSOAs from the 2011 Census)).

Some limitations of the dataset are that figures for small areas (Wards and LSOAs) exclude employees in farm agriculture (Standard Industrial Classification subclass 01000).  The figures include businesses registered for PAYE but not for VAT.   Values may be rounded and low numbers suppressed (particularly at smaller geographies) so numbers may not tally precisely with figures for larger areas. Figures are shown for the most recent year available, although these are provisional and may be subject to later revision by ONS.

This data is based on the ONS Business Register and Employment Survey (BRES, open access) sourced from the Office for National Statistics (ONS) Nomis website. More detailed breakouts of Standard Industrial Classifications are available from the Source weblink.

This dataset is updated annually


Tags: economy, employment
Organization: Lincolnshire County Council
Emergency Hospital Admissions for Falls (Age 65 and over)

Falls are a major cause of Emergency Hospital Admissions for Older People, and lead to many moving from home into residential care.  The highest risk of falls is in people aged 65 and over.

Falls injuries can be particularly serious for older people, resulting in fractures and hospitalisation.  Inpatient hospital admissions are a proportion of falls incidents, but more may present to Accident and Emergency and GPs, not all of which will lead to hospital admission. This indicator helps to measure falls prevention and joint working between the NHS, public health and social care.

Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard European population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates.

This data uses primary diagnosis of injuries only. This may result in lower values in comparison to using all diagnoses.

Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 2.24i (22401-C29). This data is updated annually.


Tags: falls, health, hospital admissions, older people
Organization: Lincolnshire County Council