Building on its Roadmap to an Effective AI Assurance Ecosystem, the CDEI’s AI Assurance Programme supports the government’s ambition to build the most trusted and pro-innovation AI governance system in the world. Over the last six months, the CDEI has been carrying out significant industry engagement in order to understand the key barriers and enablers to the adoption of AI Assurance tools and techniques.
The CDEI is now carrying out a survey to understand current industry participation with AI assurance, with a particular focus on three key sectors - finance, automated vehicles, and recruitment. Key themes from the survey findings will be shared publicly, and the views shared with the CDEI will directly influence the next stage of our work, which aims to develop practical guidance to address the challenges identified, and encourage increased adoption of AI assurance across industry. This privacy notice explains who the CDEI are, the personal data the CDEI collects, how the CDEI uses it, who the CDEI shares it with, and what your legal rights are.
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This dataset is about book subjects. It has 4 rows and is filtered where the books is SRF roadmap. Part 1, Road freight transport in the UK. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum in and around the Mid North Sea High (Quadrants 25-44). Covering a large area of the Central North Sea from the Forth Approaches to the northern side of the Southern North Sea, the focus is on Devonian and Carboniferous rocks. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1:750,000 to 1: 3,000,000.
The VistA 4 Product Roadmap outlines how the Department of Veterans Affairs (VA), under the direction of the VistA Evolution Program, will build upon the previous success and institutional knowledge investment in Veterans Health Information Systems and Technology Architecture (VistA) Electronic Health Record (EHR). The evolution of VA�s existing EHR product will be known as VistA 4. The updated VA EHR system will be interoperable with the EHR systems of the Department of Defense (DoD) and other healthcare partners to enhance patient-centered, team- and evidence-based care by giving healthcare providers a complete picture of a patient�s care and treatment history.
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Explore the latest iteration of the Water Open Data Roadmap, a strategic blueprint designed to propel the water sector into a new era of transparency and collaboration. Developed collaboratively by industry leaders and stakeholders, this roadmap outlines key initiatives and milestones for advancing open data practices within the water sector. Discover actionable strategies aimed at fostering innovation, improving decision-making, and enhancing sustainability. Join us on this journey as we unlock the power of open data to address water challenges and create positive impact for communities and ecosystems.
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http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d
GIS versions of a regional structural summary and palaeogeographic reconstructions describing the Palaeozoic geology of parts of the UK offshore and onshore, plus a set of summary posters and a summary presentation capturing the conventional petroleum systems. Devonian and Carboniferous rocks are the focus in and around the Mid North Sea High, Central North Sea, the Moray Firth and Orcadian Basin. In the greater Irish Sea area, Carboniferous rocks are described. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The GIS layers were digitised from figures prepared for project reports and are applicable for use at scales between 1:1,000,000 and 1:3,000,000.
https://data.gov.uk/dataset/9557a6d0-9f9b-4a32-a573-dfc9fafb9819/21st-century-exploration-roadmap-21cxrm-palaeozoic-petroleum-systems-analysis-project-products#licence-infohttps://data.gov.uk/dataset/9557a6d0-9f9b-4a32-a573-dfc9fafb9819/21st-century-exploration-roadmap-21cxrm-palaeozoic-petroleum-systems-analysis-project-products#licence-info
Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum systems of parts of the UK offshore. Devonian and Carboniferous rocks are the focus in and around the Mid North Sea High, Central North Sea, the Moray Firth and Orcadian Basin. In the greater Irish Sea area, Carboniferous rocks are described. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1: 750,000 to 1: 3,000,000.
This dataset summarises information from WWT's wetland potential mapping at the WFD waterbody catchment (catchment) level. Data from multiple layers are pulled together to allow visualisation of the relative potential for wetlands across catchments of Great Britain. Specifically, it includes data from the WWT 'wetlands for water quality', 'wetlands for carbon storage', 'wetlands for flood resilience' and 'wetlands for urban wellbeing' indicative wetland potential maps, and from the Combined 'multi-benefit' wetland potential map, which amalgamates these four layers. It is recommended that users view these layers alongside the layers created from this dataset.The absence of mapped wetland potential in a catchment does not necessarily mean there is no potential to create wetlands, nor a lack of issues that wetland solutions could be used to address. Wetland potential was only mapped within 'demand' areas where there is a greater need for wetland solutions.This dataset includes the following information:UK Water Framework Directive (WFD) status and waterbody identifiers (for waterbodies in England, Wales and Scotland).Summary information on the total indicative wetland potential (from the four wetland potential maps) per catchment, including the total area (in hectares) and percentage cover of wetland potential across the catchment area.Total area and percentage cover of 'wetlands for flood resilience' and 'wetlands for water quality' potential per catchment. Number of potential 'wetlands for flood resilience' and 'wetlands for water quality' parcels per catchment (figures may be arbitrary due to intersects used to summarise wetland potential).Priority 'demand' catchments for potential 'wetlands for water quality'. Priority 'demand' catchments for potential 'wetlands for flood resilience'. Percentage change in household projections for 2018-2041, per catchment (averaged across Local Authorities and Higher Administrative areas (England & Wales) and Council areas (Scotland)).Average number of new builds (averaged across Local Authorities) built in 2021-2022, per catchment.WWT are calling for the creation of 100,000 hectares of new and restored wetlands in the UK by 2050. This dataset is a part of WWT’s Roadmap to 100,000 hectares project, which aims to assess both the spatial and economic potential for large-scale wetland restoration targeted at tackling some of the key issues faced by UK society. The work has a particular focus on four themes where wetlands can provide solutions, namely (1) wetlands for carbon storage (specifically saltmarsh for blue carbon), (2) wetlands for urban wellbeing, (3) wetlands for flood resilience, and (4) wetlands for water quality. Wetland potential for water quality, carbon storage, flood resilience and urban wellbeing has been mapped.Full methodology can be found here. Attributes:
Heading
Description
wb_id
ID number of the WFD waterbody
wb_name
Name of the WFD waterbody
country
UK country in which the WFD waterbody is located
WFD_class
WFD status classification of the waterbody
ovl_p_ha
Total area of wetland potential (from all four WWT wetland potential layers) in the catchment, in hectares
percnt_ovl
Total area of wetland potential (from all four WWT wetland potential layers) in the waterbody, as a percentage of the catchment area
count_ovl
Number of wetland potential parcels located in the catchment (arbitrary value)
nfm_p_ha
Total area of 'wetlands for flood resilience' potential in the catchment, in hectares
percnt_nfm
Total area of 'wetlands for flood resilience' potential in the catchment, as a percentage of the catchment area
count_nfm
Number of 'wetlands for flood resilience' parcels located in the catchment
wq_p_ha
Total area of 'wetlands for water quality' potential in the catchment
percnt_wq
Total area of 'wetlands for water quality' potential in the catchment, as a percentage of the catchment area
count_wq
Number 'wetlands for water quality' parcels located in the catchment
priorit_wq
Priority 'demand' catchments for 'wetlands for water quality' (1 = 'demand' catchment')
prior_nfm
Priority 'demand' catchments for 'wetlands for flood resilience' (1 = 'demand' catchment')
Av_percent
Percentage change in household predictions from 2018 - 2041 averaged across Local Authorities within the catchment
Av_nb_2122
Number of new builds (2021-22) per catchment (average across Local Authorities within the catchment)
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Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum systems of parts of the UK offshore from the Orcadian Basin, Moray Firth to northern Forth Approaches (Quadrants 6-21). Devonian and Carboniferous rocks are the focus. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1:750,000 to 1: 3,000,000
As of 2023, the popular United Kingdom-based bakery chain Greggs was projected to reach a complete net-zero status for carbon emissions by 2040. The company's pledge to reach this target came as part of the British Retail Consortium's Climate Action Roadmap, which was drawn up ahead of COP26.
Consultation is being carried out by the GLA in November and December 2020 on the new Emerging Tech Charter for London. This is a plan to guide emerging tech innovations deployed the capital.
The Smarter London Together Roadmap was published in 2018 after consultation with Londoners and opinion research (see below) around some of the
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Gain insights into the UK Surfing Apparel and Accessories Market size at USD USD 390 million in 2023, featuring Strategic Roadmap, Global Insights, and Segment Highlights.
This zipped folder contains data from a study, by petroleum geoscience team at the BGS, which was created as part of the 21st Century exploration Roadmap (21CXRM). The petroleum geoscience team worked with the UK North Sea Transition Authority (NSTA), Oil and Gas UK and a consortium of over 45 oil companies to evaluate the remaining petroleum potential of previously overlooked or unfashionable areas of the UK Continental Shelf.The 21st Century Exploration Roadmap (21CXRM): Palaeozoic Project is part of the UK Government's endeavour to maximise the economic recovery of hydrocarbons on the UK Continental Shelf (UKCS), in response to the Wood Review.A study of the Palaeozoic of the UKCS was one of the first projects to be implemented as part of the 21st Century Exploration Roadmap. Multidisciplinary studies further defined the Carboniferous and Devonian petroleum systems focused over and around the Mid North Sea High and northwards to the Orcadian Basin/East Shetland Platform. In the wider Irish Sea area, the focus was the Carboniferous play.Coinciding with the release by NSTA of the UK Government seismic across and around the Mid North Sea High frontier area, project results have been delivered digitally to project sponsors. They include seismic, well and gravity interpretations along with burial/uplift/maturity modelling, source rock geochemistry studies and palaeographic reconstructions to inform the location of prospective Carboniferous and Devonian plays. Onshore data and knowledge has been incorporated.The results were published under the Open Government License in March 2017 and are loaded to the BGS Offshore GeoIndex. Users should note that:These outputs are at a regional scale, created for project specific purposes and so should be used appropriately.They are not BGS corporate products, but peer-reviewed project outputs.
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UK Smart Grid Network Market was valued to be USD 23 Billion in the year 2023 and it is expected to reach USD 44.91 Billion in 2031, at a CAGR of 8.72% over the forecast period of 2024 to 2031.
Government Initiatives and Policies: The UK government has implemented numerous policies to support the transition to a low-carbon energy system. Initiatives such as the UK Smart Grid Vision and Roadmap and funding from Ofgem (the energy regulator) for smart grid trials play a vital role in accelerating the adoption of smart grid technologies.
Increasing Demand for Energy Efficiency: As energy demand continues to grow, especially with the rising use of electronic devices and electric vehicles, there is a pressing need for smarter grid management. Smart grids help utilities and consumers monitor, control.
Integration of Renewable Energy: The UK is actively investing in renewable energy sources like wind, solar.
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Data Created: 01/03/2021 Data Published: 14/06/2021 This layer value shows proportion of ground potentially available for woodland creation in each cell. These are limited to mineral soil types, i.e. areas with a total carbon content in the top 1m of < 100 t ha-1. More context can be found in this story map and the peer reviewed paper belowThe potential contribution of terrestrial nature-based solutions to a national ‘net zero’ climate target
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The data were created in MATLAB, which interfaced with a Monte Carlo simulation written C++ by William Matthews. These data are available in a Microsoft Excel spreadsheet, which contains the raw data and the corresponding figure on separate sheets. These data are all the data used in the corresponding MDPI Sensors publication.
What does the data show?
This data shows annual averages of surface temperature (°C) for 2050-2079 from the UKCP18 regional climate projections. The data is for the high emissions scenario (RCP8.5).
Limitations of the data
We recommend the use of multiple grid cells or an average of grid cells around a point of interest to help users get a sense of the variability in the area. This will provide a more robust set of values for informing decisions based on the data.
What are the naming conventions and how do I explore the data?
This data contains a field for the average over the period. They are named 'tas' (temperature at surface), the month, and 'upper' 'median' or 'lower'. E.g. 'tas Median' is the median value.
To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578
Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘pr January Median’ values.
What do the ‘median’, ‘upper’, and ‘lower’ values mean?
Climate models are numerical representations of the climate system. To capture uncertainty in projections for the future, an ensemble, or group, of climate models are run. Each ensemble member has slightly different starting conditions or model set-ups. Considering all of the model outcomes gives users a range of plausible conditions which could occur in the future.
For this dataset, the model projections consist of 12 separate ensemble members. To select which ensemble members to use, the annual averages of surface temperature for 2050-2079 were calculated for each ensemble member and they were then ranked in order from lowest to highest for each location.
The ‘lower’ fields are the second lowest ranked ensemble member. The ‘upper’ fields are the second highest ranked ensemble member. The ‘median’ field is the central value of the ensemble.
This gives a median value, and a spread of the ensemble members indicating the range of possible outcomes in the projections. This spread of outputs can be used to infer the uncertainty in the projections. The larger the difference between the lower and upper fields, the greater the uncertainty.
Data source
tas_rcp85_land-rcm_uk_12km_12_ann-30y_200912-207911.nc (median)
tas_rcp85_land-rcm_uk_12km_05_ann-30y_200912-207911.nc (lower)
tas_rcp85_land-rcm_uk_12km_04_ann-30y_200912-207911.nc (upper)
UKCP18 v20190731 (downloaded 04/11/2021)
Useful links
Further information on the UK Climate Projections (UKCP). Further information on understanding climate data within the Met Office Climate Data Portal
Raportit, kuvat, paikkatietojärjestelmät ja ristikkotuotteet, jotka kuvaavat paleotsooista geologiaa ja tavanomaista öljyä Keski-Pohjanmeren ylänköalueella ja sen ympäristössä (kvadrantit 25–44). Keskisen Pohjanmeren laajalla alueella Forth Approachesista eteläisen Pohjanmeren pohjoispuolelle keskitytään devoni- ja hiilipitoisiin kiviin. BGS tuotti vertaisarvioituja tuotteita 21CXRM Palaeozoic Project -hankkeeseen DECC/OGA:lle, Oil and Gas UK:lle ja öljy-yhtiöiden sponsoreille marraskuun 2014 ja toukokuun 2016 välisenä aikana parantaakseen alueellisia digitaalisia tietoaineistoja ja alitutkittujen paleotsooisten öljyjärjestelmien tuntemusta sekä edistääkseen etsintää. Öljyjärjestelmäanalyysi perustui laajojen kaivo-, seismisten, painovoima-magneettisten ja lähdekallioaineistojen uusiin tulkintoihin, jotka yhdistettiin petrofysikaalisiin tutkimuksiin, altaan mallinnukseen ja Yhdistyneen kuningaskunnan onshore-tietämykseen. Luovutetut tiedot koottiin ja tulkittiin, ja luovuttamattomien tietojen tulkinnat sisällytettiin tietojen omistajien suostumuksella. Julkaisemattomat raakatiedot on suljettu pois, samoin kuin Yhdistyneen kuningaskunnan hallituksen vuonna 2016 julkaisemat maanjäristystiedot. Aineistoja voidaan käyttää asteikolla 1:750,000-1: 3,000,000.
Verified sites of Open Mosaic Habitat. Open mosaic habitats can be extremely diverse, including such wide ranging sites as railway sidings, quarries, former industrial works, slag heap, bings and brick pits. Brownfields with open mosaic habitats show evidence of previous disturbance, either through soil being removed or severely modified by previous use, or the addition of materials such as industrial spoil, with spatial variation developing across the site. The resultant variation allows for a mosaic of different habitats to be supported in close proximity. This habitat diversity can support rich assemblages of invertebrates, which has led to ‘open mosaic habitats on previously developed land’ being added to the UK Biodiversity Action Plan (UK BAP) as a Priority habitat listed on Section 41 of the Natural Environment and Rural Communities Act 2006 (NERC Act). More information about the Open Mosaic Habitat inventory can be found on the Buglife website.Full metadata can be viewed on data.gov.uk.
CKD and hypertension to impact a staggering 1.5 billion individuals within the next decade. Optimal fetal growth and development are outcomes of a delicate interplay between genetic and environmental factors. Nutrition emerges as a pivotal environmental determinant, orchestrating proper organogenesis. Malnutrition disrupts normal embryo development and potentially leads to chronic diseases in later life. Our understanding of the specific metabolic routes and their impact on kidney development is still elusive. Here, we used a multi-omics approach to study the importance of glucose metabolism to proper kidney development. We cultured E13.5 embryonic kidneys in the presence or absence of partial inhibition of glycolysis and submitted it to transcriptomic and proteomic profiling. We found that glycolysis-derived acetyl-CoA is an intracellular pleiotropic agent pivotal for proper kidney development.
Building on its Roadmap to an Effective AI Assurance Ecosystem, the CDEI’s AI Assurance Programme supports the government’s ambition to build the most trusted and pro-innovation AI governance system in the world. Over the last six months, the CDEI has been carrying out significant industry engagement in order to understand the key barriers and enablers to the adoption of AI Assurance tools and techniques.
The CDEI is now carrying out a survey to understand current industry participation with AI assurance, with a particular focus on three key sectors - finance, automated vehicles, and recruitment. Key themes from the survey findings will be shared publicly, and the views shared with the CDEI will directly influence the next stage of our work, which aims to develop practical guidance to address the challenges identified, and encourage increased adoption of AI assurance across industry. This privacy notice explains who the CDEI are, the personal data the CDEI collects, how the CDEI uses it, who the CDEI shares it with, and what your legal rights are.