https://ckan.publishing.service.gov.uk/feeds/custom.atomdata.gov.uk - Custom query2024-03-29T09:52:04.763235+00:00dgupython-feedgenRecently created or updated datasets on data.gov.uk. Custom query: 'servings'https://ckan.publishing.service.gov.uk/dataset/bcf403e5-9f68-4fda-8216-5c7be35add8bHigh Speed 2 Safeguarding2023-12-13T08:08:32.972381+00:00This is a buffer around the proposed High Speed 2 railway. Properties applying for planning permission must be flagged. Property owners within the zone who would feel adversely affected can serve government with Statutory Blight notice2014-11-25T17:00:18.817094+00:00https://ckan.publishing.service.gov.uk/dataset/a9de8eaa-5424-40ac-b1b3-3e33e94e1648Natural Capital County Atlas Mapping (England)2023-12-18T15:14:48.918899+00:00This spatial dataset is an output of the Natural England County & City Natural Capital Atlas project (July 2020). It shows variation in ecosystem service flow for habitats across England, based on indicators identified by NE in the 2018 Natural Capital Indicators project. The dataset comprises a hexagonal grid which summarises indicator values across the country (each unit = 5km²).
Natural Capital is an important aspect of current environmental policy and management. This dataset, in combination with the other project outputs, will support understanding of Natural Capital in England and serve as a valuable engagement tool to communicate concepts of the Natural Capital approach to a wide variety of stakeholders.
For full methodology and user guide see documents ‘NCAtlas_Devon’ and ‘NC-Mapping-User-Guidance’ at http://publications.naturalengland.org.uk/publication/6672365834731520.
For full metadata documentation see the data package download below.
Copyright statement:
LCM2015 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. © Defra. Contains Defra information © Defra - Project MB0102. © Environment Agency. © Forestry Commission. © Historic England [year]. © Joint Nature Conservation Committee. © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains data supplied by © NERC - Centre for Ecology & Hydrology. © Natural England copyright. Natural England Licence No. 2011/052 British Geological Survey © NERC, all rights reserved, © NSRI Cranfield University. Contains National Statistics data © Crown copyright and database right [year]. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains Rural Payments Agency. © Barnsley Metropolitan Borough Council. © Bath & North East Somerset Council. © Bedford Borough Council. © London Borough of Bexley. © Birmingham City Council. © Blackburn with Darwen Borough Council. © Blackpool Council. © Bolton Council. © BCP Council. © Bracknell Forest Council. © City of Bradford Metropolitan District Council. © Brighton & Hove City Council. © Bristol City Council. © London Borough of Bromley. © Buckinghamshire County Council. © Bury Council. © Calderdale Council. © Cambridgeshire County Council. © Central Bedfordshire Council. © Cheshire East Council. © Cheshire West and Chester Council. © Cornwall Council. © Cumbria County Council. © Derbyshire County Council. © Devon County Council. © Doncaster Council. © Dorset Council. © Dudley Metropolitan Borough Council. © Durham County Council. © East Riding of Yorkshire Council. © East Sussex County Council. © Essex County Council. © Gateshead Council. © Gloucestershire County Council. © Hampshire County Council. © Herefordshire Council. © Hertfordshire County Council. © Hull City Council. © Isle of Anglesey County Council. © Isle of Wight Council. © Kent County Council. © Kirklees Council. © Knowsley Metropolitan Borough Council. © Lake District National Park. © Lancashire County Council. © Leicester City Council. © Leicestershire County Council. © Lincolnshire County Council. © Manchester City Council. © Medway Council. © Norfolk County Council. © North Lincolnshire Council. © North Somerset Council. © North Yorkshire County Council. © Northamptonshire County Council. © Northumberland County Council. © Nottingham City Council. © Nottinghamshire County Council. © Oldham Council. © Oxfordshire County Council. © Peterborough City Council. © Plymouth City Council. © Bournemouth, Christchurch and Poole Council. © Portsmouth City Council. © Reading Borough Council. © Redcar and Cleveland Borough Council. © Rochdale Borough Council. © Rotherham Metropolitan Borough Council. © Rutland County Council. © Salford City Council. © Sefton Council. © Sheffield City Council. © Shropshire Council. © Slough Borough Council. © Somerset County Council. © South Gloucestershire Council. © Southampton City Council. © St Helens Council. © Staffordshire County Council. © Stockport Metropolitan Borough Council. © Stockton Council. © Suffolk County Council. © Surrey County Council. © Tameside Metropolitan Borough Council. © Thurrock Council. © Torbay Council. © Trafford Council. © Wakefield Council. © Walsall Council. © Warrington Borough Council. © Warwickshire County Council. © West Berkshire Council. © West Sussex County Council. © Wigan Council. © Wiltshire Council. © Royal Borough of Windsor and Maidenhead Council. © Wirral Council. © Wokingham Borough Council. © Worcestershire County Council. © City of York Council. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].2020-10-10T22:58:57.937603+00:00https://ckan.publishing.service.gov.uk/dataset/1ba0f92c-d90e-4529-a74e-a8472be76bb4Rail Stations2023-12-18T16:29:00.799747+00:00Point layer recording the site of the National rail stations serving the City including those outside the City boundary. This dataset was created to make mapping of these features easier. • Name – the name of the station. • UPRN – Unique Property Reference Number.2022-04-14T13:24:13.784649+00:00https://ckan.publishing.service.gov.uk/dataset/6a011f95-69b0-4ba4-82d1-5da9570b1263Underground Stations2023-12-18T16:29:07.120518+00:00Point layer recording the site of the London Underground/Docklands Light Railway stations serving the City including those outside the City boundary. This dataset was created to make mapping of these features easier. • Name – the name of the station. • Routes – Records the lines served by the station. • UPRN – Unique Property Reference Number. This is a fixed dataset.2022-04-14T13:24:33.141925+00:00https://ckan.publishing.service.gov.uk/dataset/3d136e9a-78cf-4452-824d-39d715ba5b69Drinking Water Protected Areas (Surface Water)2024-01-05T11:42:31.392060+00:00Drinking Water Protected Areas (Surface Water) are defined by the Water Environment (Water Framework Directive) (England & Wales) Regulations 2017 (or WFD Regulations) as locations where raw water is abstracted for human consumption providing, on average, more than 10 cubic metres per day, or serving more than 50 persons, or is intended for such future use. For surface water Drinking Water Protected Areas water may be abstracted from rivers, lakes, canals and reservoirs.
Drinking Water Protected Areas are based on the River Basin Management Plan water body area within which the abstraction is located.
Water sources used for drinking supplies need to be protected under the WFD Regulations to ensure they are not polluted and avoid / minimise the need for additional purification treatment which can be costly and resource intensive.
The water companies must ensure compliance with the Drinking Water Directive and the Priority Substances Directive chemical parameters at the tap, as regulated by the Drinking Water Inspectorate (DWI).
Water Companies and the Environment Agency identify Drinking Water Protected Areas that are ‘at risk’ of deterioration from certain substances which could affect treatment and non-statutory Safeguard Zones are established. Within these zones, the Environment Agency works with the Water Companies to plan and implement targeted measures to address the identified risks.
This dataset includes all of the current Drinking Water Protected Areas with a qualifying abstraction, indications of whether or not the area is deemed ‘at risk’ and, if a Safeguard Zone has been defined, which substances are affecting them.
For more information on Safeguard Zones please refer to the "Drinking Water Safeguard Zone (Surface Water)" dataset also available on the Defra DSP.
This data has been updated in 2022 following a national review of surface water protected area records for the Cycle 3 River Basin Management Plans.
Please note the status of Drinking Water Protected Areas and any associated Safeguard Zones are continuously under review and details may change and/or become out of date once published. Please send any data or other enquiries in relation to this dataset to the point of contact identified below. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.2017-06-30T14:38:59.323454+00:00https://ckan.publishing.service.gov.uk/dataset/0f76a1c3-1368-476b-a4df-7ef32bfd9a8bUrban Waste Water Treatment Directive Treatment Plants2024-01-05T11:42:54.028025+00:00Spatial dataset containing wastewater treatment plants monitored and reported under the Urban Waste Water Treatment Directive (UWWTD) in England. These plants serve population equivalent (PE) greater than 2000 if discharging to freshwater or greater than 10000 if discharging to coastal/transitional waters. Details include load, treatment types and performance. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.2016-04-21T10:15:41.862421+00:00https://ckan.publishing.service.gov.uk/dataset/77ec45d9-0cfe-40e3-b828-6b6e6dd1a69aUrban Waste Water Treatment Directive wastewater reuse in England2024-01-05T11:43:43.659871+00:00This spreadsheet contains estimates of the total volume of wastewater treated and the total reused at treatment plants reported under the Urban Waste Water Treatment Directive for England in 2012. This covers all treatment plants serving population equivalents (P.E.) greater than 2000 if discharging to freshwater, or greater than 10000 if discharging to coastal/transitional waters. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.2016-04-25T09:04:09.459366+00:00https://ckan.publishing.service.gov.uk/dataset/e372897d-7bd5-4854-ac8c-88100bd94999Biosphere Reserves (Scotland)2024-01-16T13:02:25.913837+00:00Biosphere Reserves are areas of terrestrial and coastal ecosystems promoting the conservation of biodiversity with sustainable use. Biosphere reserves serve to demonstrate integrated management of land, water and biodiversity.
For more information visit https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/international-designations/biosphere-reserve2011-11-09T18:31:57.823124+00:00https://ckan.publishing.service.gov.uk/dataset/20fe1873-e483-4fd6-90e1-e316f8784563Footfall in Customer Centre - % served within target wait time2024-01-18T14:10:39.776133+00:00Footfall in Customer Centre - % served within target wait time
2016-02-16T16:55:44.724298+00:00https://ckan.publishing.service.gov.uk/dataset/0c8c0d09-7add-454d-84c7-a362ded66906COVID-19 Restrictions Timeseries2024-01-18T19:00:25.871147+00:00National and local restrictions and policies affecting London, by date.
Supplied as an experimental dataset to provide context for analysis of other social or economic datasets, for instance, footfall and spend data timeseries.
Information was mainly gathered from government announcements published by the [Prime Minister's Office](https://www.gov.uk/search/all?parent=prime-ministers-office-10-downing-street&level_one_taxon=5b7b9532-a775-4bd2-a3aa-6ce380184b6c&organisations%5B%5D=prime-ministers-office-10-downing-street&order=updated-newest).
The restrictions and policies included are:
* School closures - complete closures only
* Pub closures - excluding pubs that serve food
* Shop closures - non-essential
* Eating Places closures - including pubs that serve food
* Stay at home orders
* Household mixing indoors banned
* Working from home encouraged
* Rule of 6 indoors
* 10pm curfew on hospitality
* Eat Out to Help Out scheme2021-03-26T15:41:47.168356+00:00https://ckan.publishing.service.gov.uk/dataset/b21cd517-b5f9-4bb6-8467-54e2aa666855Green jobs and skills postings2024-02-08T20:00:24.886782+00:00**Introduction**
----------------
This dataset presents online job postings data from [Lightcast](https://lightcast.io/uk), which can serve as a useful, albeit imperfect, indicator of the overall demand for green jobs and skills in London.
From the outset, it is important to note that the definitions as to what constitutes a green skill or job title are experimental, and that the data presented is likely to be only a partial representation of the overall demand for green jobs and skills. A short note on the definitions used as well as the limitations of job postings data can be found at the bottom of this page.
For further background information, please also refer to our [blog post](https://data.london.gov.uk/blog/online-postings-for-green-jobs-in-london/), which, while using an earlier definition of green skills and job titles, provides useful additional context and insights.
Finally, for broader analyses of online job postings data for London please see [here](https://data.london.gov.uk/dataset/job-postings-analyses).
Key points
----------
* Over the course of 2023, there were approximately 44,000 unique postings for jobs that required at least 1 green skill, while there were 8,500 postings with specifically green job titles.
* Combining these two metrics together, and excluding double counting, shows that unique postings featuring either a green skill or job title accounted for 46,500 – or 3% – of London’s total job postings in 2023.
* Looking at the longer-term trend, it is clear that demand for both green skills and job titles respectively has grown steadily in recent years and remains well above 2019 pre-pandemic levels. This suggests that, while still relatively small, there is a growing recognition among employers across industries of the importance of sustainable and environmentally friendly practices.
* In the most recent three month period for which data is available - between October and December 2023 - London saw a slight decrease in the number of online postings for both green job titles and jobs requiring green skills, compared to July-September 2023. However, this is likely to be in part the result of the seasonality of recruitment activity.
* The green skills that featured most prevalently in online postings for jobs in London in 2023 included environmental social and corporate governance (ESG), renewable energy, an understanding of net-zero, and water treatment, while a range of sustainability specialists, renewable energy managers and environmental professionals were among the most sought after specific green job titles.
Notes on definitions
--------------------
Building upon Lightcast’s own working definition of green skills and job titles, GLA Economics has further developed and refined these definitions using Lightcast’s open-source library of job titles and skills taxonomies. Through this process, GLA Economics have identified over 350 job titles with green keywords (e.g. sustainability, renewable energy analysts or solar PV installers) and over 500 specific skills and qualifications related to the green economy and environment more generally.
These categories can help provide insights into the demand for green jobs and skills in London, but they do not offer a complete picture. Some green job titles and skills may not yet have been identified, while other jobs in green priority sectors will have titles which are not so obviously green (e.g. architect), but where expertise in sustainable practices is of growing importance within in the role. GLA Economics’ definition of green skills and job titles remains experimental and is constantly being refined to reflect the evolving nature of the sector.
For enquiries on this analysis or definitions please email [Jeff Dwan-O'Reilly.](mailto:jeff.oreilly@london.gov.uk)
Notes on data sources
---------------------
Online job postings are not representative of all job roles, particularly those not widely advertised online. The data captured from online postings is also inconsistent, with varying levels of detail on skills requirements and job locations, and subject to revision. Despite these limitations, online postings data is increasingly being used to complement traditional sources of labour market information due to its granularity and near real-time nature. For more information see: [Understanding online job postings data](https://data.london.gov.uk/download/job-postings-analyses/bc5fa2a4-44be-41bf-8e6e-c5d866519d80/Understanding%20online%20job%20postings%20data%20-%20July%202022.html)2023-05-03T19:47:06.246108+00:00https://ckan.publishing.service.gov.uk/dataset/bf099942-deff-448d-8aff-7d48b20f7828West Lindsey TPOs (Tree Preservation Orders)2024-02-22T16:52:01.257003+00:00This data, showing the positions of all trees and groups of trees which are protected by Tree Preservation Orders (TPOs) made by West Lindsey District Council, is indicative only.
A Tree Preservation Order (TPO) is an order made by the local planning authority in respect of trees or woodlands. The principal effect of a TPO is to prohibit the: cutting down, uprooting, topping, lopping, wilful damage, or wilful destruction of trees without the LPA's consent. TPO's are served on individual trees, groups of trees or woodlands when it is deemed to be expedient in the interests of amenity. They are used to protect trees and woodlands if their removal or changes to them would have a significant impact on the local environment and its enjoyment by the public.2022-11-10T10:56:08.712666+00:00https://ckan.publishing.service.gov.uk/dataset/07e257d0-8e9d-472f-b686-d2c132576fdcCultural Infrastructure Map2024-03-07T22:00:42.408162+00:00London’s first [Cultural Infrastructure Map](https://apps.london.gov.uk/cim/index.html) brings together new research and information that has previously not existed in one place. It plots the location of cultural infrastructure and enables the user to view it alongside useful contextual data.
This page contains cultural infrastructure data sets published in 2019. **The data shown on the live map is more recent and can be found** [**here**](https://data.london.gov.uk/dataset/cultural-infrastructure-map-2023) **.**
Audits of facilities or infrastructure are a snapshot in time and based on best available information. Following [an audit of cultural infrastructure in 2023](https://data.london.gov.uk/dataset/cultural-infrastructure-map-2023), some 2019 datasets were updated to include missing infrastructure or to remove entries that had been included incorrectly.
Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data.
The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report.
**Contains OS data **© **Crown copyright and database rights 2019.**
**Contains Audience Agency data.**
**Contains CAMRA data.**
**_NOTE_: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.**
**_NOTE_: This page contains cultural infrastructure data published in 2019. For 2023 cultural infrastructure data, please visit:** [**https://data.london.gov.uk/dataset/cultural-infrastructure-map-2023**](https://data.london.gov.uk/dataset/cultural-infrastructure-map-2023)
> [This dataset is included in the Greater London Authority's Night Time Observatory. Click here to find out more.](/night-time-observatory/)2023-10-04T22:00:23.940787+00:00https://ckan.publishing.service.gov.uk/dataset/29332164-d343-42b4-8d37-ae8cede178dcUKCCSRC Call 1 Project: Multiphase flow modelling for risk assessment of dense phase CO2 pipelines containing impurities2024-03-22T15:12:00.832362+00:00This project will develop and experimentally validate a heterogeneous flow model for predicting the transient depressurisation and outflow following the puncture of dense phase CO2 pipelines containing typical impurities. Such data is expected to serve as the source term for the quantitative consequence failure assessment of CO2 pipelines including near field and far field dispersion, fracture propagation and blowdown. Grant number: UKCCSRC-C1-07. UKCCSRC - UK Carbon Capture and Storage Research Centre.2020-02-26T13:46:46.333078+00:00https://ckan.publishing.service.gov.uk/dataset/386b8f3d-30d6-46a5-9026-061fd4830b40Testing the control of weathering on CO2 - Evidence from extreme climate events (NERC Grant NE/I020571/2)2024-03-22T15:16:30.434351+00:00Published papers for NERC grant NE/I020571/2. Grant award abstract: How does the Earth's climate recover from events of rapid and extreme global warming or cooling? Why have the huge fluctuations in atmospheric CO2 in the geological past not caused runaway climate effects, making the Earth become Venus- or Mars-like? Silicate weathering of the continents is the main CO2 removal process, and therefore a dominant long-term climate control mechanism. However the debate on what controls silicate weathering, and therefore atmospheric CO2, is still contentious and ongoing. A correct understanding of the controls on weathering, and its link to atmospheric CO2 levels is critical, because 1) it is possible that weathering is the process that has kept Earth's climate in the relatively narrow bounds required for life over the past several hundred million years; 2) it is impossible to decipher the causes and consequences of long-term climate variations through Earth's history without accurate weathering data, which in turn impacts on our understanding of current climate; 3) comprehension of climate systems leads to more accurate modelling of future climate change; 4) rapid global climate change inevitably leads to large mass extinctions. Therefore it is important to unravel the link between extinctions and the Earth's climate systems, including CO2 control. Lithium isotopes have gained much interest over the past few years because large variations in the Li isotope ratio in rivers and clays are caused by silicate weathering processes. Furthermore, unlike tracers of weathering used previously, Li isotopes also respond to the intensity of weathering, and therefore can be linked directly to weathering rates. This is critical, because for the first time is gives us a window into the variation of weathering rates through time, which in turn means we can use the Earth's past climate variations as a natural laboratory. Three of the largest climate fluctuations and mass extinctions in Earth's history will be examined and modelled, primarily using Li isotopes, but also several other tracers, which will serve to reveal information on marine and volcanic conditions at the time. These geological periods (the end-Ordovician glaciation (450 Ma (million years ago)), the Permo-Triassic event (251 Ma) and the Cenomanian-Turonian Ocean Anoxic Event (94 Ma)), represent times when rapid warming or cooling of Earth's climate occurred, resulting in the extinction of up to 90% of life on Earth. Samples from these time periods exist in the form of marine calcium carbonate. This was precipitated (either inorganically, or via various life forms) in the oceans at the time, and provides a record of ocean chemistry, which in turn is directly linked to the atmospheric conditions. Analysing Li isotopes is a complex procedure, and will be undertaken at Oxford University. Collaborations will exist with Prof. Jan Veizer (Ottawa University) and Dr. Christoph Korte (Copenhagen University), who are specialists in the studied time periods, with Prof. Andy Ridgwell (Bristol University), who is an expert climate modeller, and with Prof. David Harper, who is an expert in mass extinctions. By understanding weathering and climatic responses to periods of rapid global warming and cooling we will gain critical information on Earth's climate feedbacks, and on processes that led to the extinction of vast proportions of the biosphere.2020-02-26T15:45:21.421384+00:00https://ckan.publishing.service.gov.uk/dataset/a0b7aa58-aad5-41b6-a1ad-fcfc94095b2aTerrestrial Methane Cycling During Paleogene Greenhouse Climates (NERC grant NE/J008591/1)2024-03-22T15:17:31.285700+00:00Supplementary material for published paper, Early Paleogene wildfires in peat-forming environments at Schoningen, Germany by BE Robson et al, http://doi.org/10.1016/j.palaeo.2015.07.016 NERC grant abstract: Human activity has led to an increase in pCO2 and methane levels from pre-industrial times to today. While the former increase is primarily due to fossil fuel burning, the increase in methane concentrations is more complex, reflecting not only direct human activity but also feedback mechanisms in the climate system related to temperature and hydrology-induced changes in methane emissions. To unravel these complex relationships, scientists are increasingly interrogating ancient climate systems. Similarly, one of the major challenges in palaeoclimate research is understanding the role of methane biogeochemistry in governing the climate of ice-free, high-pCO2 greenhouse worlds, such as during the early Paleogene (around 50Ma). The lack of proxies for methane concentrations is problematic, as methane emissions from wetlands are governed by precipitation and temperature, such that they could act as important positive or negative feedbacks on climate. In fact, the only estimates for past methane levels (pCH4) arise from our climate-biogeochemistry simulations wherein GCMs have driven the Sheffield dynamic vegetation model, from which methane fluxes have been derived. These suggest that Paleogene pCH4 could have been almost 6x modern pre-industrial levels, and such values would have had a radiative forcing effect nearly equivalent to a doubling of pCO2, an impact that could have been particularly dramatic during time intervals when CO2 levels were already much higher than today's. Thus, an improved understanding of Paleogene pCH4 is crucial to understanding both how biogeochemical processes operate on a warmer Earth and understanding the climate of this important interval in Earth history. We propose to improve, expand and interrogate those model results using improved soil biogeochemistry algorithms, conducting model sensitivity experiments and comparing our results to proxy records for methane cycling in ancient wetlands. The former will provide a better, process-orientated understanding of biogenic trace gas emissions, particularly the emissions of CH4, NOx and N2O. The sensitivity experiments will focus on varying pCO2 levels and manipulation of atmospheric parameters that dictate cloud formation; together, these experiments will constrain the uncertainty in our trace greenhouse gas estimates. To qualitatively test these models, we will quantify lipid biomarkers and determine their carbon isotopic compositions to estimate the size of past methanogenic and methanotrophic populations, and compare them to modern mires and Holocene peat. The final component of our project will be the determination of how these elevated methane (and other trace gas) concentrations served as a positive feedback on global warming. In combination our work will test the hypothesis that elevated pCO2, continental temperatures and precipitation during the Eocene greenhouse caused increased wetland GHG emissions and atmospheric concentrations with a significant feedback on climate, missing from most modelling studies to date. This work is crucial to our understanding of greenhouse climates but such an integrated approach is not being conducted anywhere else in the world; here, it is being led by international experts in organic geochemistry, climate, vegetation and atmospheric modelling, and palaeobotany and coal petrology. It will represent a major step forward in our understanding of ancient biogeochemical cycles as well as their potential response to future global warming.2020-02-26T14:28:46.674943+00:00https://ckan.publishing.service.gov.uk/dataset/6b7e5b80-c06f-4179-ad1b-94153084b720Pore Scale Observations of Trapped CO2 in Mixed-Wet Carbonate Rock: Applications to Storage in Oil Field2024-03-22T15:23:04.291552+00:00We investigated the physical basis of this weakened trapping using pore scale observations of supercritical CO2 in mixed-wet carbonates. The wetting alteration induced by oil provided CO2-wet surfaces that served as conduits to flow. In situ measurements of contact angles showed that CO2 varied from nonwetting to wetting throughout the pore space, with contact angles ranging 25° <θ< 127°; in contrast, an inert gas, N2, was nonwetting with a smaller range of contact angle 24° <θ< 68 °. Observations of trapped ganglia morphology showed that this wettability allowed CO2 to create large, connected, ganglia by inhabiting small pores in mixed-wet rocks. The connected ganglia persisted after three pore volumes of brine injection, facilitating the desaturation that leads to decreased trapping relative to water-wet systems. This data is associated with this open access publication: Environ. Sci. Technol. 2016, 50, 18, 10282-10290. https://doi.org/10.1021/acs.est.6b03111.2020-02-26T15:08:38.673931+00:00https://ckan.publishing.service.gov.uk/dataset/1cceb8bd-adef-4e54-a33a-014e3118feb5Bacterial diversity (16S rRNA gene) in participant collected household vacuum dust from homes across two bioclimatic regions (UK and Greece), with associated participant questionnaire and trace element data. (NERC Grant NE/T004401/1)2024-03-22T15:44:02.090811+00:00The <250um fraction of 28 household vacuum dust samples were extracted using high throughput isolation of microbial genomic DNA (21 samples from a national campaign within the UK and 7 samples from Greece, providing samples from two contrasting bioclimatic zones). Both positive and negative reagent controls were included to ensure sterility throughout the processing and sequencing steps, and a randomly selected sample was run in triplicate (DSUK179). These data (raw fastq files: Target_gene 16S and Target_subfragment V4) are available from the European Nucleotide Archive via the study accession PRJEB46920 with individual sample accession numbers ERX6130460 to ERX6130493; https://www.ebi.ac.uk/ena/browser/view/PRJEB46920). A wide range of anthropogenic factors are likely to affect the indoor microbiome and to capture some of this heterogeneity participants were asked to complete a questionnaire. In addition, trace element data were generated using an X-Ray fluorescence spectrometry on the <250um sieved fraction of the household vacuum dust. Sample location data are provided at town/city, Country level. Indoor dust serves as a reservoir for environmental exposure to microbial communities, many of which are benign, some are beneficial, whilst some exhibit pathogenicity. Whilst non-occupational exposure to a range of trace elements and organic contaminants in house dust are a known risk factor for a range of diseases and poor health outcomes, we know far less about the microbial communities associated with our indoor home environments, and their interaction/impacts on human health. Our knowledge of indoor residential bacterial biodiversity, biogeography and their associated drivers are still poorly understood. The data were collected to improve our understanding of the home microbiome.2021-11-17T21:45:04.344825+00:00https://ckan.publishing.service.gov.uk/dataset/dcd0f160-be20-493d-b7a4-0ec718c0a8d4Normal background concentrations of contaminants (OGC WxS INSPIRE)2024-03-22T15:44:20.932183+00:00The BGS has been commissioned by Defra to provide guidance on what are 'normal' levels of contaminant concentrations in English soils in support of the revision of the Part 2A Contaminated Land Statutory Guidance. The domain polygons and other data produced by this work are served as WMS here.2019-02-18T16:47:22.695431+00:00https://ckan.publishing.service.gov.uk/dataset/d3376c43-bb1f-424a-af87-a8a2bb762d27Heat Network Locations (Existing and Planned) - Scotland2024-03-28T16:14:40.172302+00:00The Scotland Heat Map provides the locations of existing and planned heat networks. Both communal and district heat networks are included. Data about each network includes, where available, heat capacity size category, network name, status (either ‘operational’ or ‘in development’) and the main technology used (for example, ‘boiler’). There is only one point location for each network, the data does not show all connected properties or pipe layouts. Networks can serve domestic properties, non-domestic properties or a mixture of the two.
Heat networks have the potential to reduce carbon emissions from heating buildings. Alongside other heat map datasets, information on existing and planned networks is used to identify further opportunities to reduce carbon emissions. For example, by connecting more buildings to an existing network or by replacing the energy source with a nearby lower carbon alternative.
Data on heat networks comes from two sources. These are: the UK Department for Energy Security and Net Zero’s Heat Networks (Metering and Billing) Regulations (HNMBR) dataset and Zero Waste Scotland’s Low Carbon Heat Database (LCHD). The most recent data available is up to end July 2022 for the HNMBR dataset (though the majority of the HNMBR data included in the heat map is up to end December 2018) and January 2022 for the LCHD. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/2021-10-14T16:42:17.243786+00:00