Figure 1 – Abundance Data Availability (2022). Note: 2020 also attached.

Categories used to classify the data availability statements.

Raw data supporting the Springer Nature Data Availability Statement (DAS) analysis in the State of Open Data 2024. SOOD_2024_special_analysis_DAS_SN.xlsx contains the DAS, DOI, publication date, DAS categories and related country by Insitution of any author.SOOD 2024_DAS_analysis_sharing.xlsx contains the summary data by country and data sharing type.Utilizing the Dimensions database, we identified articles containing key DAS identifiers such as “Data Availability Statement” or “Availability of Data and Materials” within their full text. Digital Object Identifiers (DOIs) of these articles were collected and matched against Springer Nature’s XML database to extract the DAS for each article. The extracted DAS were categorized into specific sharing types using text and data matching terms. For statements indicating that data are publicly available in a repository, we matched against a predefined list of repository identifiers, names, and URLs. The DAS were classified into the following categories:1. Data are available from the author on request. 2. Data are included in the manuscript or its supplementary material. 3. Some or all of the data are publicly available, for example in a repository.4. Figure source data are included with the manuscript. 5. Data availability is not applicable.6. Data are declared as not available by the author.7. Data available online but not in a repository.These categories are non-exclusive: more than one can apply to any one article. Publications outside the 2019–2023 range and non-article publication types (e.g., book chapters) that were initially included in the Dimensions search results were excluded from the final dataset. Articles were included in the final analysis after applying the exclusion criteria. Upon processing, it was found that only 370 results were returned for Botswana across the five-year period; due to this low number, Botswana was not included in the DAS focused country-level analysis. This analysis does not assess the accuracy of the DAS in the context of each individual article. There was no manual verification of the categories applied; as a result, terms used out of context could have led to misclassification. Approximately 5% of articles remained unclassified following text and data matching due to these limitations.

Code and data availability for WIce-FOAM 1.0: a two-dimensional numerical model developed at the 5-kilometre scale using OpenFOAM-v2306, which couples the dynamics and thermodynamics of heterogeneous sea ice under wave forcing in the Antarctic marginal ice zone.

Here we present a summary of public data availability for agrobiodiversity-related indicators of regional agrifood systems. Data have been drawn from surveys, reports, and censuses in Bangladesh, India, Nepal, and Pakistan.

Active mobility, especially cycling, is an essential building block for sustainable urban mobility. Public and private stakeholders are striving to improve conditions for cycling and subsequently increase its modal share. Data are regarded as key for different measures to become efficient and targeted. There is extensive evidence for an increasing amount of mobility data, availability of new data sources and potential usage scenarios for such data. However, little is known about the current use of these data in policy making, planning and related fields. To the best of our knowledge, it has not been investigated yet to which degree professionals in the broader field of cycling promotion benefit from an increasing amount of cycling-related data. Thus, we conducted a multi-lingual online survey among domain professionals and acquired data on their perspectives on current data availability, use and suitability as well as the potential they see for the use of cycling data in the future. In total, we received 325 complete responses from 32 countries, with the vast majority of 241 valid responses originating from Germany, Austria and Italy. Key findings are: 84% of domain professionals attribute high importance to data, and 89% state that they currently cannot or only partly solve their tasks with the data available to them. Results emphasize the need for making more and better suited data available to professionals in cycling-related positions, in both the private and public sector.

Read the full publication: https://doi.org/10.3390/data6110121

Abstract

The dataset was derived by the Bioregional Assessment Programme from 'Streamflow unified NSW' dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Provides summary of the amount of *good* quality stream flow data for selected gauging stations in the Richmond river basin.

Purpose

To highlight which gauging stations have long periods of record with good quality data.

Dataset History

This dataset is a summary of the unified dataset which has already been registered (see Lineage).

Dataset Citation

Bioregional Assessment Programme (2015) CLM - Richmond Streamflow data availability. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/8ebaa843-7a61-4813-be75-360759c79fef.

Dataset Ancestors

• Derived From CLM - NSW River Gauge pdf documents.

• Derived From CLM - Streamflow unified NSW

• Derived From CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradiance. The data were processed at NREL to improve the assessment of the solar radiation resources in the southeastern United States. Historical HBCU data available online include quality assessed 5-min data, monthly reports, and plots. In January 1997 the HBCU sites became part of the CONFRRM solar monitoring network and data from the two remaining active stations, Bluefield State College and Elizabeth City State University, are collected by the NREL Measurement & Instrumentation Data Center (MIDC).

The New York State Energy Research and Development Authority (NYSERDA) hosts a web-based Distributed Energy Resources (DER) integrated data system at https://der.nyserda.ny.gov/. This site provides information on DERs that are funded by and report performance data to NYSERDA. Information is incorporated on more diverse DER technology as it becomes available. Distributed energy resources (DER) are technologies that generate or manage the demand of electricity at different points of the grid, such as at homes and businesses, instead of exclusively at power plants, and includes Combined Heat and Power (CHP) Systems, Anaerobic Digester Gas (ADG)-to-Electricity Systems, Fuel Cell Systems, Energy Storage Systems, and Large Photovoltaic (PV) Solar Electric Systems (larger than 50 kW). Historical databases with hourly readings for each system are updated each night to include data from the previous day. The web interface allows users to view, plot, analyze, and download performance data from one or several different DER sites. Energy storage systems include all operational systems in New York including projects not funded by NYSERDA. Only NYSERDA-funded energy storage systems will have performance data available. The database is intended to provide detailed, accurate performance data that can be used by potential users, developers, and other stakeholders to understand the real-world performance of these technologies. For NYSERDA’s performance-based programs, these data provide the basis for incentive payments to these sites. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

Data availability as described in the voluntary national reviews, EMR.

The data include HBV-light parameter sets and (best) simulations at the outlet of the Upper Blue Nile basin using three rainfall products (ARC2, CHIRPS, and PERSIANN-CDR).

In this dataset, I exhibit the "Raw Data" and "Processed Data" for the toughness modification of high-performance PEI/PBT blends with PTFE.

Data Availability JFMC Phillipe Tenorio Barbosa.

This PDF contains links to all the relevant data for the Evans et al. Sawyer Mill dam removal reservoir response manuscript. See the PDF for the cited figshare items and collections. Please reach out to Alexandra Evans (corresponding author of the manuscript) if you have any questions about the data or would like to collaborate on work that the data could be used for.These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Data availability for the paper titled "Photolytic Radical Persistence due to Anoxia in 1 Viscous Aerosol Particles" by Peter A. Alpert et al. This repository contains all data tables and files necessary to reproduce plots. Also included are open source ".hdf5” files that contain all data for X-ray microscopy images and ".dat" files having the raw data for mie resonance scattering to derive size change and mass loss. Please see the "Readme.pdf" file for more information.

Decentralized Cloud Storage Solutions Market Outlook

The global market size for Decentralized Cloud Storage Solutions was valued at approximately USD 1.5 billion in 2023 and is projected to reach USD 12.8 billion by 2032, exhibiting a robust compound annual growth rate (CAGR) of 27.5% during the forecast period. This significant growth is driven by increasing data privacy concerns, rising adoption of blockchain technology, and the growing need for scalable storage solutions across various sectors.

One of the primary growth factors for the decentralized cloud storage solutions market is the rising concern over data privacy and security. Traditional centralized cloud storage systems are increasingly vulnerable to cyberattacks, data breaches, and unauthorized access. As businesses and individuals become more aware of these risks, there is a growing preference for decentralized cloud storage solutions that offer enhanced security through encryption and distributed ledger technology. This shift is further fueled by stringent data protection regulations such as GDPR and CCPA, which mandate stricter data management practices.

Another factor contributing to the market's growth is the advancement in blockchain technology, which forms the backbone of decentralized cloud storage solutions. Blockchain technology provides a secure and transparent framework for storing and sharing data, ensuring that no single entity has control over the entire data set. This decentralized approach not only enhances security but also improves data integrity and availability. Additionally, the cost-effectiveness of decentralized cloud storage, compared to traditional centralized systems, is attracting small and medium enterprises (SMEs) and startups looking for affordable and reliable storage solutions.

The increasing volume of data generated by various industries, including healthcare, BFSI, and IT and telecommunications, is also driving the demand for decentralized cloud storage solutions. As businesses transition to digital operations and remote work becomes more prevalent, the need for scalable and flexible storage solutions has never been greater. Decentralized cloud storage provides an efficient way to manage and store large volumes of data while ensuring quick access and high availability, thereby supporting business continuity and operational efficiency.

In the realm of decentralized cloud storage, an Object Storage Solution plays a pivotal role in managing and organizing unstructured data. Unlike traditional file systems, object storage solutions store data as discrete units known as objects, each containing the data itself, metadata, and a unique identifier. This approach offers enhanced scalability and flexibility, making it ideal for handling the vast amounts of data generated in today's digital environment. Object storage solutions are particularly beneficial for businesses seeking to optimize their storage infrastructure, as they allow for seamless integration with cloud-based applications and services. By leveraging object storage, organizations can efficiently manage data growth, improve data accessibility, and reduce storage costs, all while maintaining high levels of data security and compliance.

Regionally, North America holds a significant share of the decentralized cloud storage solutions market, driven by technological advancements, a high adoption rate of cloud services, and supportive regulatory frameworks. Europe follows closely, with notable growth in countries like Germany and the UK, fueled by stringent data protection regulations. The Asia Pacific region is expected to witness the highest growth rate due to rapid digital transformation, increasing internet penetration, and a growing number of tech-savvy enterprises. Latin America, the Middle East, and Africa are also showing promising growth due to increasing investments in IT infrastructure and rising awareness about data security.

Component Analysis

The decentralized cloud storage solutions market can be segmented by component into software, hardware, and services. The software segment is anticipated to dominate the market due to the extensive use of various decentralized applications (dApps) and platforms that facilitate secure data storage and sharing. These software solutions utilize blockchain technology to offer immutable and encrypted storage, enhancing data security and integrity. With continuous advancements in software development and the introduction of innovative storage al

The Near Real-time Data Access (NeRDA) Portal is making near real-time data available to our stakeholders and interested parties. We're helping the transition to a smart, flexible system that connects large-scale energy generation right down to the solar panels and electric vehicles installed in homes, businesses and communities right across the country. In line with our Open Networks approach, our Near Real-time Data Access (NeRDA) portal is live and making available power flow information from our EHV, HV, and LV networks, taking in data from a number of sources, including SCADA PowerOn, our installed low voltage monitoring equipment, load model forecasting tool, connectivity model, and our Long-Term Development Statement (LTDS). Making near real-time data accessible from DNOs is facilitating an economic and efficient development and operation in the transition to a low carbon economy. NeRDA is a key enabler for the delivery of Net Zero - by opening network data, it is creating opportunities for the flexible markets, helping to identify the best locations to invest flexible resources, and connect faster. You can access this information via our informative near real-time Dashboard and download portions of data or connect to our API and receive an ongoing stream of near real-time data.

The table HI- Demographic Data is part of the dataset Demographic Data, available at https://columbia.redivis.com/datasets/fh74-90v3ge9m2. It contains 767560 rows across 699 variables.

The table MN- Demographic Data is part of the dataset Demographic Data, available at https://columbia.redivis.com/datasets/fh74-90v3ge9m2. It contains 3514445 rows across 699 variables.

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Data Center Power Market Size 2025-2029

The data center power market size is forecast to increase by USD 24.05 billion, at a CAGR of 10.8% between 2024 and 2029.

The market is witnessing significant growth, driven by escalating investments in data centers and high-performance computing (HPC) systems. These investments underscore the increasing reliance on digital infrastructure to support business operations and innovation. However, the market faces a notable challenge in the form of UPS battery failures. This issue, which can lead to costly downtime and data loss, highlights the importance of robust power management systems in data centers. Companies must prioritize preventive maintenance and advanced battery monitoring technologies to mitigate this risk and ensure uninterrupted power supply. In navigating this market, strategic business decisions and operational planning hinge on a deep understanding of these key drivers and challenges. By focusing on power efficiency, resilient infrastructure, and proactive maintenance, organizations can capitalize on the opportunities presented by the expanding data center landscape while effectively managing the risks associated with power management.

What will be the Size of the Data Center Power 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, with dynamic market trends shaping its landscape. Capacity planning remains a critical focus, as entities strive to optimize energy usage and minimize carbon footprint. Waste heat recovery and thermal management are increasingly important, with applications in various sectors. Data center design incorporates advanced cooling systems, such as free air cooling and liquid cooling, while renewable energy sources and generator sets ensure uninterrupted power supply. Energy efficiency measures, including power factor correction, rectifier systems, and battery banks, are essential for reducing energy waste. UPS systems and remote monitoring enable high availability and fault tolerance. Network infrastructure, including network switches and software-defined networking (SDN), facilitates efficient load balancing and disaster recovery. Cabling infrastructure, including copper cables, fiber optic cables, and structured cabling, plays a crucial role in data center operations. Access control and environmental monitoring ensure physical security and optimal operating conditions. Intelligent PDUs and precision cooling systems further enhance energy efficiency and capacity planning. Market activities unfold continuously, with ongoing developments in green IT, IT infrastructure, and network infrastructure. The integration of renewable energy, modular design, and lifecycle management further enhances the sustainability and efficiency of data centers. The evolving market patterns reflect the industry's commitment to reducing carbon emissions and optimizing energy usage.

How is this Data Center Power Industry segmented?

The data center power industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductGeneratorsTransformersUPSTransfer switches and switchgearsOthersEnd-userIT and telecomBFSIEnergyHealthcareRetailServicesDesign & ConsultingIntegration & DeploymentSupport & MaintenanceDesign & ConsultingIntegration & DeploymentSupport & MaintenanceGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKAPACAustraliaChinaIndiaJapanSouth KoreaRest of World (ROW)

By Product Insights

The generators segment is estimated to witness significant growth during the forecast period.Data centers are essential infrastructure for businesses, housing IT infrastructure and network systems that power digital operations. These facilities require robust power systems to ensure high availability and energy efficiency. Power factor correction technology improves the efficiency of power delivery, reducing energy waste and lowering costs. Fire suppression systems protect against potential damage, while green IT initiatives prioritize energy-efficient practices. Network infrastructure, including rectifier systems, battery banks, and UPS systems, support power delivery and ensure uninterrupted operations. Remote monitoring and network virtualization enable real-time management and optimization of power usage. Free air cooling and liquid cooling systems reduce the need for traditional air conditioning, while renewable energy integration and waste heat recovery enhance sustainability. Cloud computing and environmental sensors enable real-time data processing and monitoring, while disaster recovery and load balancing ensure business continu