The Solar Roadmap details government and industry actions that will be delivered to radically increase the deployment of solar in all its forms across the UK.

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.

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 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.

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.

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.

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.

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)

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.

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.

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

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.

Despite ongoing large-scale population-based whole-genome sequencing (WGS) projects such as the NIH NHLBI TOPMed program and the NHGRI Genome Sequencing Program, WGS-based association analysis of complex traits remains a tremendous challenge due to the large number of rare variants, many of which are non-trait-associated neutral variants. External biological knowledge, such as functional annotations based on the ENCODE, Epigenomics Roadmap and GTEx projects, may be helpful in distinguishing causal rare variants from neutral ones; however, each functional annotation can only provide certain aspects of the biological functions. Our knowledge for selecting informative annotations a priori is limited, and incorporating non-informative annotations will introduce noise and lose power. We propose FunSPU, a versatile and adaptive test that incorporates multiple biological annotations and is adaptive at both the annotation and variant levels and thus maintains high power even in the presence of noninformative annotations. In addition to extensive simulations, we illustrate our proposed test using the TWINSUK cohort (n = 1,752) of UK10K WGS data based on six functional annotations: CADD, RegulomeDB, FunSeq, Funseq2, GERP++, and GenoSkyline. We identified genome-wide significant genetic loci on chromosome 19 near gene TOMM40 and APOC4-APOC2 associated with low-density lipoprotein (LDL), which are replicated in the UK10K ALSPAC cohort (n = 1,497). These replicated LDL-associated loci were missed by existing rare variant association tests that either ignore external biological information or rely on a single source of biological knowledge. We have implemented the proposed test in an R package “FunSPU”.

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.

This map is based on information contained in the WWT 'wetlands for water quality', 'wetlands for carbon storage', 'wetlands for flood resilience' and 'wetlands for urban wellbeing' indicative wetland potential maps. It summarises the combined 'multi-benefit' wetland potential map, which amalgamates these four layers, while accounting for overlaps (i.e. it avoids counting overlapping layers more than once). It is recommended that users view these datasets alongside this layer.This map summarises WWT's combined wetland potential map by Westminster parliamentary constituency as a percentage cover of the constituency area. The absence of mapped wetland potential in a constituency 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.WWT are calling for the creation of 100,000 hectares of new and restored wetlands in the UK by 2050. This map 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

NAME

Constituency name

CODE

Constituency identifier

HECTARES

Area of the constituency in hectares

sum_Area_H

Total area of wetland potential in the constituency, for all four wetland potential maps combined, in hectares

Polygon_Co

Total number of wetland potential parcels in the constituency, for all four wetland potential maps combined (number may be arbitrary due to intersects used e.g. to divide parcels by constituencies)

p_percent

Percentage cover of wetland potential in the constituency for all four wetland potential maps combined

The UK Banking as a Service (BaaS) market is experiencing robust growth, fueled by the increasing adoption of open banking initiatives, the rise of fintech companies, and the growing demand for flexible and scalable financial solutions. The market's expansion is driven by large enterprises seeking to integrate financial services into their offerings and smaller businesses leveraging BaaS platforms to streamline operations and offer innovative financial products. While precise UK-specific market sizing data is unavailable, extrapolating from the global CAGR of >7.5% and considering the UK's advanced fintech ecosystem, we can reasonably estimate the 2025 UK BaaS market size to be in the range of £200-£300 million (assuming a global market size in the billions). This segment is poised for substantial growth over the next decade, with significant contributions from both API-based and cloud-based BaaS solutions. The professional and managed service segments are expected to grow rapidly as businesses increasingly outsource specialized financial services expertise. Challenges remain, including concerns about data security and regulatory compliance within the open banking framework, impacting market penetration, particularly among smaller SMEs hesitant to adopt new technologies. However, the strong regulatory support for open banking in the UK is likely to mitigate these concerns over time, resulting in continued expansion of the BaaS market. The competitive landscape in the UK BaaS market is dynamic, with established players like Thought Machine and Starling Bank alongside numerous emerging fintechs. Competition is primarily focused on offering innovative features, robust security, and seamless integration capabilities. The success of BaaS providers hinges on their ability to adapt to evolving regulatory requirements, meet the diverse needs of different enterprise sizes, and develop secure and reliable platforms. Future growth will likely be shaped by the increasing demand for embedded finance, the integration of AI and machine learning into BaaS solutions, and the continued expansion of open banking across various sectors. The continued development of robust regulatory frameworks fostering trust and transparency will be key in unlocking the full potential of the UK BaaS market. Banking as a Service (BaaS) Industry in the UK: A Comprehensive Market Report (2019-2033) This report provides a detailed analysis of the burgeoning Banking as a Service (BaaS) industry in the UK, covering the period 2019-2033. It leverages extensive market research to provide invaluable insights for businesses and investors seeking to understand this rapidly evolving sector. With a focus on key trends, growth drivers, challenges, and leading players, this report offers a 360-degree view of the UK BaaS market, projected to reach significant value in the coming years. The report utilizes data from the historical period (2019-2024), the base year (2025), and the forecast period (2025-2033). Key Search Terms: UK BaaS Market, Banking as a Service UK, BaaS Industry UK, Cloud-based BaaS UK, API-based BaaS UK, Fintech BaaS UK, BaaS Regulations UK, BaaS Market Size UK, BaaS Growth UK, BaaS Trends UK, BaaS Providers UK Recent developments include: On April 2022, PEXA, the Australian-founded fintech developed of a brand new payment scheme - PEXA Pay. At the same time, PEXA has partnered with ClearBank, clearing and embedded banking platform in the UK, to broaden access to its forthcoming remortgage platform., On July 2021, Paysafe (NYSE: PSFE), today announces a new partnership with Bankable, a global architect of 'banking-as-a-service' solutions. Through the global agreement, the two companies will collaborate to launch a broad range of integrated, omnichannel banking services from Paysafe.. Notable trends are: Demand for Embedded Finance is Driving Banking as a Service.

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.

Annotation-based tests were based on six random annotations. aSPU: adaptive sum of powered score test; aSPU_minP: combining multiple p-values of aSPU tests by minimum p approach; aSPU_Fisher: to combining multiple p-values of aSPU tests by Fisher’s meta-analysis approach; FunSPU: multiple functional annotation-based SPU test; wtFunSPU: global weighted FunSPU; T1: burden test of variants with MAF smaller than 1%; SKAT: the sequence kernel association test; (w): inverse-variance weighted score function in the SPU framework.