Data Preprocessing Travelio App from Google Play Store Review.

This report gathers relevant data on water level and flow, along with water use (allocation or licenses), and historical stream hydrological information, and to assist in determining if these factors are contributing to the decline of coho in the system.

The FCA summarises its work to tackle consumer harm in the investment market between 1 April 2021 and 31 March 2022. This is the fourth Consumer Investments Data Review. It covers 1 April 2021 to 31 March 2022. The FCA has published these reviews regularly since 2020 to give greater transparency about how it protects consumers from investment harm. As well as giving insights into the FCA's work, this data helps it monitor progress towards its Consumer Investments Strategy outcomes, particularly those on high-risk investments and scams and fraud. ##Key findings include: * The FCA stopped 1 in 5 new consumer investment firms who applied from entering the market. * It opened 59% more supervisory cases on high-risk investments or investments scams. * It published 1844 consumer alerts about unauthorised firms or individuals (a 40% increase). * It secured £34.8m in consumer redress for unauthorised investment business.

Final, revised version of http://dx.doi.org/10.5281/zenodo.33413 (published 6 November 2015)

Scoping Review Updated Data

URL: https://geoscience.data.qld.gov.au/dataset/cr073210

EPG 34, DATA REVIEW OF THE GEOTHERMAL POTENTIAL OF EPG 34

Coding sheet for study by De Jong et al (2021): Understanding land-use change conflict: a systematic review of case studies

INSPIRE Priority Data Set - E-IPTR Emissions Data (Review Service)

This project focused on local-scale interactions between groundwater, surface water, soils, and vegetation. It collates and interprets field data already collected by DEW, CSIRO, Flinders University, University of Queensland, the MDBA and SA Water. This project aimed to improve the understanding of water and salt movement in lower River Murray floodplains following inundation. This presentation was presented on 28 June 2023 via MS Teams, and provided an opportunity for salinity managers, environmental water managers, and river managers to be presented with the outcomes emerging from this research project. The immediate results from this project are relied upon by the broader floodplain processes knowledge priority under the Basin Salinity Management 2030 (BSM2030) strategy. The knowledge outcomes from this project are critical to help development of robust and higher resolution modelling for salinity and water management in the Murray-Darling Basin.

The purpose of this review is to provide a database for the evaluation and validation of mathematical codes describing fluidized bed gasifiers. This review was prompted by the need to evaluate two numerical codes, CHEMFLUB and FLAG, developed under Department of Energy sponsorship. Because of fundamental nature of the codes, they may possibly be used as a potential method for minimizing the cost and time required to develop and commercialize fluidized bed gasifiers. In order to have the confidence that these codes can accurately predict fluidization and gasification phenonmena, a logical and systematic comparison of the codes against key correlations is required. This review contains the necessary data and correlations for this evaluation. Previously developed computer models of fluidized bed gasifiers are empirical in nature. Hence, they are useful only in regions where the assumptions are valid. On the other hand, CHEMFLUB and FLAG begin with a fundamental description of the fluid mechanics, chemistry and heat transfer relationships. Because of this, there is promise that these models could be used in areas where experimental information is not readily available, to address issues of scale-up, and to examine transient phenomena often associated with operating and safety issues. In order to have confidence that the models are able to predict gasifier behavior, it is necessary that key physical parameters be efficiently and accurately calculated. This review divides the database required into two major areas, gasification kinetics, and fluidization behavior. The review is not intended to critically analyze all the information in the literature. Rather, it is a selective review of the literature, tailored to provide the necessary data to evaluate and validate the codes. 215 references.

Data set review Handphone di toko online di market place yang dipergunakan untuk natural language processing.

URL: https://geoscience.data.qld.gov.au/dataset/cr008263

EPC 299, A STRATIGRAPHIC, STRUCTURAL AND EXPLORATION DATA REVIEW AND REAPPRAISAL, FOR LANLOAR INVESTMENTS PTY LTD

Supplementary material data for: Novel Foods and the Foraging Strategies that Deal with Them

This report is a contribution to the Strategic Environmental Assessment (SEA6) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). The study area dealt with in this report includes all of the Irish Sea that falls within Irish Jurisdiction. The report is intended to complement a similar study of UK waters in the Irish Sea undertaken as part of the UK Government's Strategic Environmental Assessment (SEA6). The aim of this report is to present an up-to-date overview of all relevant data concerning methane-derived authigenic carbonate and features associated with shallow gas and seabed fluid flow in the Irish sector of the western Irish Sea. It presents a detailed assessment of potential gas sources and migration pathways, shallow gas, gas-related seabed structures and evidence of present day gas seepage in the study area.

This report documents the construction for MESA of a technical database on the potential for undiscovered Triassic coal within small intermontane basins of the north-central Flinders Ranges region, addressing all alluvium-covered areas that lie... This report documents the construction for MESA of a technical database on the potential for undiscovered Triassic coal within small intermontane basins of the north-central Flinders Ranges region, addressing all alluvium-covered areas that lie within a corridor extending for 50 km either side of the railway line from Marree to Port Augusta. Any target(s) to be selected for later testing by gravity surveys and/or drilling had to meet MESA's economic constraints on size of deposit and thickness of overburden: the minimum size prospective area was to be equal to that of the Leigh Creek Lobe 'D' deposit (i.e. approximately 2x3 km), and the maximum overburden thickness (to allow dragline mining) was estimated at 30 metres (based on the Lobe 'D' model). The project Phase 1 brief was for a contractor to review existing geological, geophysical (gravity) and drilling data for the area, and extract and summarise any information considered relevant to such aims. A total of 220 company Exploration Licence histories and 1550 water bore records were reviewed, and the resulting information is presented as a series of tables and plans organised around a Sheet 1/Sheet 2 split of the region of investigation, to areas north and south of Parachilna. From study of both areas, the preliminary conclusions are that previous exploration has been insufficient to eliminate the possibility of existence of additional concealed Triassic coal basins.

Cursor Reviewer Market Outlook

The global cursor reviewer market size was estimated at USD 1.2 billion in 2023 and is expected to reach USD 3.8 billion by 2032, growing at a CAGR of 13.7% during the forecast period. This growth is fueled by increasing demand for precision and efficiency in various industries that rely heavily on data review and analysis, such as healthcare and finance. The adoption of cursor reviewer technology is driven by advancements in artificial intelligence and machine learning, which enhance the capabilities of these systems to deliver accurate and insightful results rapidly.

One of the significant growth factors for the cursor reviewer market is the rising importance of data accuracy in decision-making processes across various industries. With companies increasingly relying on big data analytics to drive business strategies, the need for precise data review tools is more critical than ever. Cursor reviewers help in identifying errors and inconsistencies in large datasets, ensuring that business decisions are based on reliable information. This demand for high data integrity is pushing organizations to invest in advanced cursor reviewer solutions, thereby driving market growth.

Another growth factor is the integration of artificial intelligence (AI) and machine learning (ML) technologies in cursor reviewer systems. These technologies enhance the functionality of cursor reviewers by enabling them to learn from past data and improve their accuracy over time. AI and ML algorithms can detect patterns and anomalies that may not be easily visible to human reviewers, thereby significantly reducing the chances of errors. This technological advancement is making cursor reviewers an indispensable tool in sectors such as finance and healthcare, where data accuracy is paramount.

Furthermore, the increasing adoption of cloud-based solutions is also contributing to the growth of the cursor reviewer market. Cloud deployment offers numerous advantages such as scalability, flexibility, and cost-effectiveness, making it an attractive option for small and medium enterprises (SMEs) as well as large organizations. Cloud-based cursor reviewers allow businesses to access advanced data review functionalities without the need for significant upfront investments in hardware and infrastructure. This trend is expected to further boost the adoption of cursor reviewer solutions across various industry verticals.

Regionally, North America is expected to dominate the cursor reviewer market due to the presence of a large number of technology-driven enterprises and early adopters of advanced data analytics solutions. The region's strong emphasis on research and development, coupled with significant investments in AI and ML technologies, is likely to drive market growth. In addition, the Asia Pacific region is projected to witness substantial growth during the forecast period, owing to the rapid digital transformation and increasing adoption of advanced technologies in countries such as China and India.

Component Analysis

The cursor reviewer market can be segmented by component into software, hardware, and services. The software segment is expected to account for the largest market share during the forecast period, driven by the continuous advancements in AI and ML technologies. Software solutions for cursor review are becoming increasingly sophisticated, offering enhanced features such as real-time data analysis, anomaly detection, and predictive analytics. These capabilities make software solutions highly sought after by organizations looking to improve their data review processes.

Hardware components, although not as dominant as software, play a critical role in the overall functionality of cursor reviewers. High-performance computing hardware is essential for running complex algorithms and processing large datasets efficiently. With the growing demand for faster and more accurate data analysis, investments in advanced hardware solutions are expected to rise. This segment is anticipated to witness steady growth, supported by ongoing innovations in computing technology and the increasing availability of powerful processors and storage solutions.

The services segment encompasses various support and maintenance services, including installation, training, and consulting. As organizations adopt cursor reviewer solutions, the need for professional service

URL: https://geoscience.data.qld.gov.au/dataset/cr029852

ATP 628, YEAR 1 DATA REVIEW AND SURRENDER REPORT

Data and code from a systematic review and meta-analysis of comparative functional response studies.

URL: https://geoscience.data.qld.gov.au/dataset/cr073212

EPG 36, DATA REVIEW OF THE GEOTHERMAL POTENTIAL OF EPG 36

There is no abstract created for this record There is no abstract created for this record