This dataset has been extracted as part of an exercise to assemble "all" Cefas Temperature Data and publish it in a Data paper. It is one of 17 Cefas data sources assembled. The Lowestoft Sample Data Management System (LSDM) was the tool used for tracking the ingestion, processing and analysis of marine water, sediment and radiological samples. It was replaced by the Cefas Laboratory Information Management System (LIMS) in 2015. This dataset is an extract from the LSDM for seawater temperature data (other data are in LIMS and the Cefas Data Hub). The Laboratory Sample Data Management system (LSDM) was the primary system used by Cefas (Lowestoft) before and throughout the 1990s (initially known as the Liquid Sample Data Management system). Its function was to provide a vehicle for the management of the ingestion, analysis and recording of measurements on marine samples, ranging from oceanographic water samples through sediments to “environmental materials” and radiological samples (see Sutton (1993) for an example of the supporting role of LSDM in relation to the, usually high level, scientific measurement systems of the day, Sauer et al (2002) for an example of its pivotal role in quality assured processes and analyses. As the work profile for the Ministry of Agriculture, Fisheries and Food Directorate of Fisheries Research changed, followed by the creation of Cefas and then Defra, the need for the centralised system for the management of an extensive suite of physical samples decreased. LSDM was closed down in 2015 with chemical data transferred to other systems. The temperature data held included the historical ferry routes and historical CTN data. The remainder, from a variety of programmes and cruises, are presented in this section.

Survey of land under environmental management

Source agency: Environment, Food and Rural Affairs Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Campaign for farmed environment

The reports are available at: https://www.gov.uk/government/collections/land-under-environmental-management

Link Function: information

This dataset contains species data extracted from Natural England's Environmental Monitoring Database (EMD) in January 2016. The EMD was developed to hold vegetation, bird and other species data gathered by a wide range of surveys. Most (but not all) of these Surveys were designed to monitor habitats and species being targeted for management by agri-environment schemes. The data has almost all been gathered since 1987 and the main schemes involved comprise the Environmentally Sensitive Areas, Countryside Stewardship schemes and Environmental Stewardship. The data comprise species records from a wide range of moorland, grassland, wetland and coastal habitats. As the dataset comprises records from many surveys, designed with specific individual purposes, the distribution of sampling points are a function of those individual surveys rather than representing any systematic coverage within the dataset as a whole. There are no sensitive records in this dataset. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. (Environment theme)

Various excel tracking spreadsheets to record the progress of applications, consultees notified and permits issued

Water companies in England have a statutory duty to create, consult and publish a Water Resources Management Plan (WRMP) every five years. They are also legally required to publish an update on the delivery on that plan each year. This dataset is a collation of the annual data submissions that water companies present to accompany that annual update. The data is provided at the water company level from 2005 to present. Each year’s data is presented on a separate tab. Where water company trading names have changed since 2005, we have collated using the present trading name of the water company. Veolia Water Projects’ data has been excluded from this dataset for reasons of national security. Further information on the details and components that are represented in this dataset can be found on supporting tabs within the dataset.

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Government Open Data Management Platform Market Size 2024-2028

The government open data management platform market size is forecast to increase by USD 96.48 million at a CAGR of 9.73% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand for digitalization in government operations. This trend is driving the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) in open data management platforms. However, data privacy concerns remain a major challenge for market growth. As governments look to make more data available to the public, ensuring the security and confidentiality of sensitive information is paramount. This report provides a comprehensive analysis of these trends and challenges, offering insights into the market's future direction. The rising demand for transparency and accountability in government operations is also fueling the adoption of open data platforms.However, the implementation of stringent data security measures is essential to mitigate the risks associated with data breaches and unauthorized access. Overall, the market is expected to witness steady growth In the coming years, driven by the increasing adoption of digital technologies and the need for more efficient and effective government services.

What will be the Size of the Government Open Data Management Platform Market During the Forecast Period?

Request Free SampleThe market encompasses solutions that facilitate the enhancement, sharing, cataloging, storage, publication, and download of machine-readable data through central web portals. This market is experiencing significant growth due to the increasing demand for open data access from various stakeholders, including government employees, lay citizens, and civic hackers. An integrated software suite for open data management offers metadata management capabilities, data analytics tools, and machine learning algorithms to improve data quality and usability. The market's size is expanding as governments worldwide recognize the potential of open data to drive innovation, transparency, and accountability. For-profit companies are increasingly collaborating with governments to provide comprehensive open data management platforms, ensuring interoperability and standardization across various data sources.Overall, the market is poised for continued growth as more organizations embrace the benefits of open data and the need for efficient, accessible, and secure data management solutions.

How is this Government Open Data Management Platform Industry segmented and which is the largest segment?

The government open data management platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userLarge enterprisesSMEsDeploymentOn-premisesCloud-basedGeographyNorth AmericaCanadaUSEuropeUKFranceAPACSouth AmericaMiddle East and Africa

By End-user Insights

The large enterprises segment is estimated to witness significant growth during the forecast period. Government Open Data Management Platforms (ODMPs) serve as crucial tools for large enterprises to access, analyze, and derive valuable insights from data published by government agencies. These platforms offer a wealth of information on various sectors, including demographics, socioeconomic factors, infrastructure, and more. By leveraging this data, enterprises can gain a deeper understanding of market trends, consumer behavior, and emerging opportunities. Additionally, ODMPs can help reduce costs by enabling identification of new suppliers, optimization of supply chains, and improvement of energy efficiency. The holistic evaluation of ODMPs encompasses an integrated software suite, open data portal, metadata management, data analytics, enhancement, sharing, data cataloging, data storage, data publication, and machine-readable formats.These platforms offer a central web portal for easy access by citizens, civic hackers, for-profit companies, and government organizations. Technological advancements, such as cloud computing, IoT technologies, and investments in industry verticals, continue to drive developments in ODMPs. Success factors include instantaneous data processing, unification of data, segmentation of users, and understanding behavior patterns to cater to targeted markets. Marketers can utilize ODMPs to personalize ads and access customer data, environmental data, sensor data, and spatial data storage. System integrators and intermediaries play a key role in implementing and optimizing these platforms for their clients. Current priorities for ODMPs include ensuring security, interoperability, and scalability.

Get a glance at the market report of various segments Request Free Sample

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Water companies in England have a statutory duty to create, consult and publish a Water Resources Management Plan (WRMP) every five years. This dataset is a collation of the WRMP forecast data submissions that water companies present to accompany their written plan. The data is provided at the resource zone and water company level from 2025 to 2050 as a minimum. Further information on the details and components that are represented in this dataset can be found on supporting tabs within the dataset.

Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus . Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China. The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.

This information has been provided to help people who want to trade access to water either by being a donor or receiving. Trades require prior approval by the Environment Agency to protect the environment and the rights of other lawful water users. Other factors that affect viability of a trade include how the sites are connected by natural water systems such as rivers or groundwater. In providing this information, the Environment Agency does not guarantee that a trade will be approved. Our assessment makes no suggestion as to whether or not a licence holder is willing to agree to a trade. Any assessment of the quantity of water abstracted under licences does not include records of water abstracted since 31 December 2024. Information on certain licences has been excluded to protect national security and those that are not required to submit returns to the Environment Agency, including those that abstract less than 100 m3/d. Unless agreed in writing with the Environment Agency you must comply with the conditions of your abstraction licence. Care should be taken when interpreting those cases where a licence authorises abstraction for multiple purposes and/or from multiple points. The maximum quantities concern the licence in its entirety. Please note: licences which are part of the Restoring Sustainable Abstraction initiative are included in the map for reference purposes. However, they will not be suitable for actual trading activities. Licence information is up to date as of 1st January 2025. Further information on water rights trading can be found at Trade water abstraction rights - GOV.UK (http://www.gov.uk). Please contact water_abstractiondigital@environment-agency.gov.uk with any queries.

Attribution statement: © Environment Agency copyright and/or database right 2024. All rights reserved.

Data compiled for the publication: Fairbrass A, O’Sullivan A, Campbell J, Ekins E. (In press) The SDGs provide limited evidence that environmental policies are delivering multiple ecological and social benefits. Earth’s Future.Data underlying the global indicator framework for the Sustainable Development Goals (SDG) and targets of the 2030 Agenda for Sustainable Development.As contained in the Annex of the resolution adopted by the General Assembly on 6 July 2017, Work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development (A/RES/71/313) and the annual refinements in E/CN.3/2018/2 and E/CN.3/2019/2.Data downloaded from the SDG Indicators Database (UNSDG) between January and June 2022.

This Data Access Agreement (DAA) is freely available to use and is intended for use where data is accessed within a Trusted Research Environment (TRE) for the purposes of research and development for the public good. The DAA has been developed by the TRE Legal Toolkit Action Force of the Pan UK Data Governance Steering Group. The Pan UK Data Governance Steering Group is a working Group of the UK Health Data Research Alliance representing data custodians and policymakers across the four nations. The Steering Group is focused on simplifying and streamlining data access governance processes. The DAA terms and conditions should not be modified. The annexes are customisable to allow for differences between TREs. New with Version 6.0 we are providing a Personal Data and a Non-Personal Data template The latter intended for use only where the data accessed in the TRE and the Data Output are both not considered Personal Data or Confidential Patient Information (CPI) from the perspective of the Approved User and their Approved User Organisation who are accessing the data on behalf of the Sponsor Organisation. If research will involve access to Data that is Personal Data or CPI, or the creation of Data Outputs that are likely to become Personal Data or CPI in the hands of the intended recipients, the Personal Data version must be used. We wish to encourage widespread adoption of this template and it is freely available to use. If you do plan to adopt this template or would like to discuss any queries please get in touch with: Rachel Brophy, Head of Information and Research Governance, HDR UK (rachel.brophy@hdruk.ac.uk) cc: informationgovernance@hdruk.ac.uk Please see version control document for details of changes.

Asset Sub-Types include: Complex Culvert, Open Channel, Simple Culvert See the Data Requirements Library for more detail: https://environment.data.gov.uk/asset-management/drl-app/asset-types PLEASE NOTE: This data is updated daily. This is a large dataset and depending on the chosen download format, it may take 7-8 minutes to download the full national dataset. Attribution Statement: © Environment Agency copyright and/or database right 2020. All rights reserved.

_**Licence: **_Open Government Licence: Viewable here

This dataset contains risk assessments produced to support the cycle 2 river basin management plans. It contains river water bodies that are assessed to be at risk of failing WFD Objectives or at risk of deteriorating for a number of different environmental pressures. It contains water body data for all English river basin districts and the Severn. It contains Welsh water bodies in the Severn RBD in spreadsheet format. This dataset was previously covered by AFA381, AFA384, AFA388, AFA389, AFA395, AFA396, AFA399 and AFA448. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Data and metadata associated with the article: Fairbrass, A. et al. (In press) ‘Indicator-based natural capital reporting to inform decision-making in the Brazilian Pantanal’, Conservation Science and Practice [Preprint].Indicators and their metadata compiled to report on the natural capital of the Brazilian Pantanal. One UK-based researcher (AF) and two Brazil-based research assistants (VM and EQ) conducted compiled the dataset between January-July 2021.We sourced most indicators from online official government statistics, including employment statistics, production volumes, and values, area of agricultural production, and organic agricultural and livestock production statistics from the IBGE. In addition, we sourced health statistics from the Ministry of Health’s DataSus platform, water production and use statistics from the National Sanitation Information System (SNIS), and fishing and nature-based tourism statistics from the National Water and Sanitation Agency (ANA). In general, government statistics were reported annually at the municipality scale for all 16 municipalities in the Pantanal, typically from the early 2000s to date. However, government statistics produced less regularly were the indicators of organic livestock and agriculture production, which were only available in 2017, and fishing and tourism statistics, which were only available for 2018.

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Test Data Management Market Size 2025-2029

The test data management market size is forecast to increase by USD 727.3 million, at a CAGR of 10.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of automation by enterprises to streamline their testing processes. The automation trend is fueled by the growing consumer spending on technological solutions, as businesses seek to improve efficiency and reduce costs. However, the market faces challenges, including the lack of awareness and standardization in test data management practices. This obstacle hinders the effective implementation of test data management solutions, requiring companies to invest in education and training to ensure successful integration. To capitalize on market opportunities and navigate challenges effectively, businesses must stay informed about emerging trends and best practices in test data management. By doing so, they can optimize their testing processes, reduce risks, and enhance overall quality.

What will be the Size of the Test Data Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the ever-increasing volume and complexity of data. Data exploration and analysis are at the forefront of this dynamic landscape, with data ethics and governance frameworks ensuring data transparency and integrity. Data masking, cleansing, and validation are crucial components of data management, enabling data warehousing, orchestration, and pipeline development. Data security and privacy remain paramount, with encryption, access control, and anonymization key strategies. Data governance, lineage, and cataloging facilitate data management software automation and reporting. Hybrid data management solutions, including artificial intelligence and machine learning, are transforming data insights and analytics. Data regulations and compliance are shaping the market, driving the need for data accountability and stewardship. Data visualization, mining, and reporting provide valuable insights, while data quality management, archiving, and backup ensure data availability and recovery. Data modeling, data integrity, and data transformation are essential for data warehousing and data lake implementations. Data management platforms are seamlessly integrated into these evolving patterns, enabling organizations to effectively manage their data assets and gain valuable insights. Data management services, cloud and on-premise, are essential for organizations to adapt to the continuous changes in the market and effectively leverage their data resources.

How is this Test Data Management Industry segmented?

The test data management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationOn-premisesCloud-basedComponentSolutionsServicesEnd-userInformation technologyTelecomBFSIHealthcare and life sciencesOthersSectorLarge enterpriseSMEsGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACAustraliaChinaIndiaJapanRest of World (ROW).

By Application Insights

The on-premises segment is estimated to witness significant growth during the forecast period.In the realm of data management, on-premises testing represents a popular approach for businesses seeking control over their infrastructure and testing process. This approach involves establishing testing facilities within an office or data center, necessitating a dedicated team with the necessary skills. The benefits of on-premises testing extend beyond control, as it enables organizations to upgrade and configure hardware and software at their discretion, providing opportunities for exploration testing. Furthermore, data security is a significant concern for many businesses, and on-premises testing alleviates the risk of compromising sensitive information to third-party companies. Data exploration, a crucial aspect of data analysis, can be carried out more effectively with on-premises testing, ensuring data integrity and security. Data masking, cleansing, and validation are essential data preparation techniques that can be executed efficiently in an on-premises environment. Data warehousing, data pipelines, and data orchestration are integral components of data management, and on-premises testing allows for seamless integration and management of these elements. Data governance frameworks, lineage, catalogs, and metadata are essential for maintaining data transparency and compliance. Data security, encryption, and access control are paramount, and on-premises testing offers greater control over these aspects. Data reporting

This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of management relating to a single field on each sampled farm. Data were collected in 2019, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA). The data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities. Full details about this dataset can be found at https://doi.org/10.5285/e46dc740-2dc7-4f9f-b2b6-24748d86759a

Water body measures are the actions which will be taken on the ground to help achieve water body objectives. They are brought about by a range of legal, policy or financial mechanisms and involve numerous sectors. This dataset includes the measures in the water bodies in the Dove catchment, which have been used to predict improvements in status by 2021 for known elements in specific water bodies. This data supports the Water Framework Directive river basin management plans that can be found here: https://www.gov.uk/government/collections/river-basin-management-plans-2015 and is available to view interactively here: http://environment.data.gov.uk/catchment-planning/ManagementCatchment/3032 Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Gabon UK: Annual Freshwater Withdrawals: Total: Billion Cubic Meters data was reported at 0.139 Cub m bn in 2020. This stayed constant from the previous number of 0.139 Cub m bn for 2019. Gabon UK: Annual Freshwater Withdrawals: Total: Billion Cubic Meters data is updated yearly, averaging 0.133 Cub m bn from Dec 1987 (Median) to 2020, with 34 observations. The data reached an all-time high of 0.139 Cub m bn in 2020 and a record low of 0.060 Cub m bn in 1987. Gabon UK: Annual Freshwater Withdrawals: Total: Billion Cubic Meters data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Gabon – Table GA.World Bank.WDI: Environmental: Water and Wastewater Management. Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.;Food and Agriculture Organization, AQUASTAT data.;Sum;