Envestnet®| Yodlee®'s Ecommerce Sales Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Most measures of social conflict processes are derived from primary and secondary source reports. In many cases, reports are used to create event-level data sets by aggregating information from multiple, and often conflicting, reports to single event observations. We argue this pre-aggregation is less innocuous than it seems, costing applied researchers opportunities for improved inference. First, researchers cannot evaluate the consequences of different methods of report aggregation. Second, aggregation discards report-level information (i.e., variation across reports) that is useful in addressing measurement error inherent in event data. Therefore, we advocate that data should be supplied and analyzed at the report level. We demonstrate the consequences of using aggregated event data as a predictor or outcome variable, and how analysis can be improved using report-level information directly. These gains are demonstrated with simulated-data experiments and in the analysis of real-world data, using the newly available Mass Mobilization in Autocracies Database (MMAD)

The Uniform Appraisal Dataset (UAD) Aggregate Statistics Data File and Dashboards are the nation’s first publicly available datasets of aggregate statistics on appraisal records, giving the public new access to a broad set of data points and trends found in appraisal reports. The UAD Aggregate Statistics for Enterprise Single-Family, Enterprise Condominium, and Federal Housing Administration (FHA) Single-Family appraisals may be grouped by neighborhood characteristics, property characteristics and different geographic levels.DocumentationOverview (10/28/2024)Data Dictionary (10/28/2024)Data File Version History and Suppression Rates (12/18/2024)Dashboard Guide (2/3/2025)UAD Aggregate Statistics DashboardsThe UAD Aggregate Statistics Dashboards are the visual front end of the UAD Aggregate Statistics Data File. The Dashboards are designed to provide easy access to customized maps and charts for all levels of users. Access the UAD Aggregate Statistics Dashboards here.UAD Aggregate Statistics DatasetsNotes:Some of the data files are relatively large in size and will not open correctly in certain software packages, such as Microsoft Excel. All the files can be opened and used in data analytics software such as SAS, Python, or R.All CSV files are zipped.

Additional file 3. Machine learning workflow.

Market Overview: The global carrier aggregation solutions market is expected to reach USD XX million by 2033, growing at a CAGR of XX% from 2025 to 2033. The increasing adoption of mobile broadband services, the need for improved network performance, and the rising demand for high-speed internet connectivity are driving the market growth. Carrier aggregation combines multiple carrier signals into a wider bandwidth, enabling faster data transmission speeds and improved coverage. Market Segmentation and Regional Landscape: By application, the market is segmented into smartphone and tablet, enterprise, and consumer electronics. By type, it includes hardware, software, and services. Key players in the market include Cisco, Nokia, Huawei Technologies, ZTE, Qorvo, Artiza Networks, Anritsu, and ROHDE&SCHWARZKG. Regionally, North America and Asia Pacific dominate the market, with the latter expected to witness significant growth due to the increasing penetration of mobile broadband and government initiatives promoting 5G deployment. Carrier Aggregation (CA) is a mobile communication technology that combines multiple frequency bands into a single wider band, to increase data rates and enhance network capacity. This report provides an in-depth analysis of the global carrier aggregation solutions market, including the key players, current trends, and future growth prospects.

The Healthcare Data Aggregation Services market has emerged as a crucial component in the evolving landscape of healthcare management, driven by the increasing volume of health-related data generated daily. Healthcare data aggregation involves the collection, integration, and analysis of disparate data sources to pr

We apply tools from topological data analysis to two mathematical models inspired by biological aggregations such as bird flocks, fish schools, and insect swarms. Our data consists of numerical simulation output from the models of Vicsek and D'Orsogna. These models are dynamical systems describing the movement of agents who interact via alignment, attraction, and/or repulsion. Each simulation time frame is a point cloud in position-velocity space. We analyze the topological structure of these point clouds, interpreting the persistent homology by calculating the first few Betti numbers. These Betti numbers count connected components, topological circles, and trapped volumes present in the data. To interpret our results, we introduce a visualization that displays Betti numbers over simulation time and topological persistence scale. We compare our topological results to order parameters typically used to quantify the global behavior of aggregations, such as polarization and angular momentu...

Understand where the Platelet Aggregation Device Market is headed—forecasted trends and size estimates now available.

Two workbooks were constructed to log observation data records and performs preliminary analysis of the 2012-2013 and 2013-2014 seasons Elk and Bison Density study on the NER. The two workbooks were: A. Density Data Records for the 12-13 and 13-14 Seasons B. Aggregate of All Observation Data Both of these workbooks are included as separate digital holdings, along with another digital holding that describes the contents and use of the workbooks.

Additional file 1. Overview DQ-issues.

Aggregation Switches Market Outlook

The global market size for aggregation switches was valued at approximately USD 15.3 billion in 2023 and is expected to reach USD 25.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.8% during the forecast period. The market growth is primarily driven by the increasing demand for high-speed data transfer and rising investments in network infrastructure across various industry sectors.

One of the key growth factors fueling the aggregation switches market is the rapid expansion of data centers around the globe. With the proliferation of cloud computing, the internet of things (IoT), and big data analytics, the need for high-capacity and efficient data transfer systems has become more critical than ever. Aggregation switches play a pivotal role in consolidating data from multiple sources, thereby facilitating seamless communication and data management within data centers. This growing demand for more robust data centers is substantially contributing to the market's growth.

Another significant driver for the aggregation switches market is the increasing adoption of advanced networking technologies among various enterprises. Organizations are continuously striving to enhance their network infrastructure to support high-speed internet and other digital services. This has led to a surge in the deployment of aggregation switches, which are essential for managing large volumes of data traffic efficiently. The trend towards digital transformation and the need for reliable, high-speed connectivity are propelling enterprises to invest heavily in advanced network equipment, including aggregation switches.

Moreover, the ongoing advancements in port speed and switch configurations are further stimulating market growth. The introduction of high-speed ports like 25G, 40G, and 100G is enabling faster data transmission rates, which is crucial for managing modern-day data loads. These technological advancements are not only enhancing the performance of aggregation switches but are also making them more adaptable to future networking demands. Consequently, the market is witnessing a steady increase in the adoption of these advanced switches across various sectors.

Regionally, North America is expected to lead the aggregation switches market, driven by the presence of major technology companies and extensive investments in network infrastructure. However, Asia Pacific is projected to exhibit the highest growth rate during the forecast period, mainly due to the rapid digitalization and growing number of data centers in countries like China and India. The widespread adoption of 5G technology and smart city initiatives in the region are also contributing to market expansion.

Product Type Analysis

The aggregation switches market can be segmented by product type into modular switches and fixed configuration switches. Modular switches are highly favored due to their flexibility and scalability, allowing network administrators to expand capacity and add functionalities as needed. These switches are particularly beneficial for large enterprises and data centers that require high levels of customization and future-proofing. The modular nature of these switches also facilitates easier maintenance and upgrades, which is a significant advantage in dynamic networking environments where technology is constantly evolving.

In contrast, fixed configuration switches are typically preferred for simpler, more static network environments where specific, predefined functionalities are required. These switches are generally more cost-effective compared to modular switches and are easier to deploy, making them an attractive option for small to medium-sized enterprises (SMEs) and certain industrial applications. Fixed configuration switches are known for their reliability and straightforward installation processes, which can be advantageous in scenarios where rapid deployment is critical.

The demand for both modular and fixed configuration switches is expected to grow, driven by the increasing complexity of network environments and the need for more efficient data management solutions. As companies continue to diversify their network architectures to support various applications and services, the choice between modular and fixed configuration switches will largely depend on specific operational requirements, budget constraints, and future scalability needs. It is anticipated that the modular switches segment will lead the market in terms of revenue due to their higher price points and advanced capabilities.

NICU Data Analytics Market Outlook

According to our latest research, the global NICU data analytics market size reached USD 1.47 billion in 2024, with a robust compound annual growth rate (CAGR) of 16.2% projected from 2025 to 2033. The market is forecasted to grow substantially, reaching USD 4.23 billion by 2033. This impressive expansion is primarily driven by the increasing adoption of advanced analytics solutions in neonatal intensive care units (NICUs), the growing prevalence of preterm births, and a heightened emphasis on improving neonatal outcomes through data-driven clinical decision-making. As per our comprehensive analysis, the surge in digital transformation across healthcare institutions and the integration of artificial intelligence (AI) with neonatal care practices are key factors propelling the market’s exponential growth trajectory.

One of the most significant growth drivers for the NICU data analytics market is the rising incidence of preterm births and the associated complexities in neonatal care. Globally, preterm birth complications are the leading cause of death among children under five years of age, creating an urgent demand for advanced monitoring and predictive analytics solutions. Healthcare providers are increasingly leveraging NICU data analytics to monitor vital signs, predict potential complications, and optimize treatment protocols for vulnerable neonates. The integration of real-time data analytics not only enhances the precision of clinical interventions but also reduces the risk of human error. Moreover, the growing awareness among clinicians about the benefits of data-driven insights is accelerating the adoption of analytics platforms, thus contributing to the overall market expansion.

Another pivotal factor fueling the growth of the NICU data analytics market is the continuous advancement in healthcare informatics and interoperability standards. The proliferation of electronic health records (EHRs), coupled with the seamless integration of bedside devices and hospital information systems, has created a fertile ground for the deployment of sophisticated analytics tools. These platforms enable the aggregation and analysis of vast amounts of neonatal data, facilitating early detection of complications and personalized care planning. Additionally, government initiatives aimed at improving neonatal health outcomes and reducing infant mortality rates are encouraging hospitals and specialty clinics to invest in state-of-the-art data analytics infrastructure. The convergence of these technological and policy-driven factors is expected to sustain the market’s high growth momentum over the forecast period.

The increasing focus on value-based care and healthcare cost containment also plays a crucial role in shaping the NICU data analytics market. Hospitals and healthcare systems are under immense pressure to deliver high-quality care while optimizing resource utilization and minimizing unnecessary interventions. NICU data analytics platforms offer actionable insights that help clinicians identify at-risk neonates, streamline workflow processes, and allocate resources more efficiently. This not only leads to improved patient outcomes but also results in significant cost savings for healthcare providers. As the healthcare industry continues to transition towards outcome-oriented models, the demand for advanced analytics solutions in NICUs is expected to witness sustained growth.

From a regional perspective, North America currently dominates the NICU data analytics market, accounting for the largest revenue share in 2024. This leadership position can be attributed to the presence of advanced healthcare infrastructure, high adoption rates of digital health solutions, and strong government support for neonatal care initiatives. However, the Asia Pacific region is anticipated to exhibit the highest CAGR during the forecast period, driven by increasing investments in healthcare modernization, rising awareness about neonatal health, and the growing burden of preterm births in densely populated countries such as India and China. Europe also represents a significant market, benefiting from robust healthcare systems and a proactive approach to integrating data analytics in clinical settings. The Middle East & Africa and Latin America are emerging as promising markets, supported by ongoing healthcare reforms and capacity-building efforts.

This dataset contains about 5 years of analysed observations regarding the degree of convective aggregation, or clumping, across the tropics - these are averaged onto a large-scale grid. There are also additional variables which represent environmental fields (e.g. sea surface temperature from satellite data, or humidity profiles averaged from reanalysis data) averaged onto the same large-scale grid. The main aggregation index is the Simple Convective Aggregation Index (SCAI) originally defined in Tobin et al. 2012, Journal of Climate. The data were created during the main years of CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite data so that they could be compared with vertical cloud profiles from this satellite data, and the results of this analysis appear in Stein et al. 2017, Journal of Climate.

Each file is one year of data (although the year may not be complete).

Each variable is an array: var(nlon, nlat, [nlev], ntime) longitude, latitude, pressure, time are variables in each file units are attributes of each variable (except non-dimensional ones) missing_value is 3.0E20 and is an attribute of each variable

Time is in days since 19790101:00Z and is every 3hours at 00z, 03z, ... The actual temporal frequency of the data is described for each variable below.

The data is for each 10deg X 10deg lat/lon box, 30S-30N (at outer edges of box domain), with each box defined by its centre coordinates and with boxes overlapping each other by 5deg in each direction.

In general, each variable is a spatial average over each box, with the value set to missing if more than 15% of the box is missing data. Exceptions to this are given below. The most important exception is for the brightness temperature data, used in aggregation statistics, which is filled in using neighborhood averaging if no more than 5% of the pixels are missing, but otherwise is considered to be all missing data. The percentage of missing pixels is recorded in 'bt_miss_frac'.

Community Choice Aggregation Market Outlook

According to our latest research, the global Community Choice Aggregation (CCA) market size reached USD 4.8 billion in 2024, driven by a growing demand for local energy autonomy and sustainable energy solutions. The market is projected to expand at a robust CAGR of 19.2% from 2025 to 2033, reaching an estimated USD 20.7 billion by 2033. This remarkable growth is primarily fueled by increasing regulatory support, heightened consumer awareness regarding renewable energy, and the rapid proliferation of CCAs across North America and Europe.

One of the key growth factors for the Community Choice Aggregation market is the rising demand for renewable energy sources and the global transition toward decarbonization. Governments and municipalities are increasingly adopting CCAs as a mechanism to provide cleaner, greener power to their communities while maintaining competitive pricing. The ability of CCAs to aggregate the electricity demand of residents, businesses, and public agencies allows them to negotiate better rates and procure higher shares of renewable energy than traditional utilities. This model not only empowers local communities to take control of their energy mix but also aligns with global climate targets, thereby attracting significant policy backing and investment. Furthermore, the growing consumer preference for sustainable energy solutions is prompting more regions to establish CCAs, accelerating market expansion.

Technological advancements and digital transformation are also playing a pivotal role in the growth of the Community Choice Aggregation market. The integration of advanced data analytics, smart grids, and distributed energy resources (DERs) enables CCAs to optimize energy procurement, enhance grid reliability, and offer innovative programs such as demand response and energy efficiency incentives. These technological enablers are helping CCAs to streamline operations, reduce costs, and deliver greater value to their customers. Additionally, the proliferation of digital platforms is making it easier for consumers to participate in CCA programs, monitor their energy usage, and choose renewable energy options, further driving market penetration.

Another major growth driver is the evolving regulatory landscape, which is increasingly supportive of Community Choice Aggregation initiatives. Many states and countries are enacting legislation that facilitates the formation and operation of CCAs, providing a clear legal framework and reducing barriers to entry. This regulatory momentum is particularly strong in regions such as California, New York, and several European countries, where CCAs are seen as a vital tool for achieving renewable energy targets and fostering energy competition. As a result, more local governments are exploring the CCA model, leading to a surge in program launches and market participants. The combined impact of favorable policies, technological innovation, and consumer demand is expected to sustain the high growth trajectory of the CCA market in the coming years.

From a regional perspective, North America currently dominates the Community Choice Aggregation market, accounting for the largest share in 2024. The presence of well-established CCA programs in states like California, Illinois, and Massachusetts, coupled with strong regulatory support, has positioned the region at the forefront of market development. Europe is also witnessing significant growth, driven by ambitious renewable energy targets and the increasing decentralization of energy markets. The Asia Pacific region, while still emerging, is expected to register the fastest growth rate over the forecast period, supported by rising urbanization, energy demand, and government initiatives to promote clean energy. Latin America and the Middle East & Africa are gradually adopting the CCA model, albeit at a slower pace, as regulatory frameworks and market awareness continue to evolve.

Program Type Analysis

The Community Choice Aggregation market

Analysis of ‘FHV Base Aggregate Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7992e33a-6319-413c-b196-dec3f18dafd0 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Monthly report including total dispatched trips, total dispatched shared trips, and unique dispatched vehicles aggregated by FHV (For-Hire Vehicle) base. These have been tabulated from raw trip record submissions made by bases to the NYC Taxi and Limousine Commission (TLC).

This dataset is typically updated monthly on a two-month lag, as bases have until the conclusion of the following month to submit a month of trip records to the TLC. In example, a base has until Feb 28 to submit complete trip records for January. Therefore, the January base aggregates will appear in March at the earliest. The TLC may elect to defer updates to the FHV Base Aggregate Report if a large number of bases have failed to submit trip records by the due date.

Note: The TLC publishes base trip record data as submitted by the bases, and we cannot guarantee or confirm their accuracy or completeness. Therefore, this may not represent the total amount of trips dispatched by all TLC-licensed bases. The TLC performs routine reviews of the records and takes enforcement actions when necessary to ensure, to the extent possible, complete and accurate information.

--- Original source retains full ownership of the source dataset ---

This file provides summary or aggregated measures for the 82 societies participating in the first four waves of the World Value Surveys. Thus, the society, rather than the individuals surveyed, are the unit of analysis.

"The World Values Survey is a worldwide investigation of sociocultural and political change. It is conducted by a network of social scientists at leading universities all around world.

Interviews have been carried out with nationally representative samples of the publics of more than 80 societies on all six inhabited continents. A total of four waves have been carried out since 1981 making it possible to carry out reliable global cross-cultural analyses and analysis of changes over time. The World Values Survey has produced evidence of gradual but pervasive changes in what people want out of life. Moreover, the survey shows that the basic direction of these changes is, to some extent, predictable.

This project is being carried out by an international network of social scientists, with local funding for each survey (though in some cases, it has been possible to raise supplementary funds from outside sources). In exchange for providing the data from interviews with a representative national sample of at least 1,000 people in their own society, each participating group gets immediate access to the data from all of the other participating societies. Thus, they are able to compare the basic values and beliefs of the people of their own society with those of more than 60 other societies. In addition, they are invited to international meetings at which they can compare findings and interpretations with other members of the WVS network."

Account Aggregators Market Outlook

The global account aggregators market size is projected to grow from USD 1.8 billion in 2023 to USD 6.4 billion by 2032, driven by a robust CAGR of 15.4%. The growing need for data-driven decision-making and efficient financial management systems are key factors propelling this market's growth. Organizations across various sectors are increasingly adopting account aggregation solutions to streamline access to financial data, thereby enhancing their ability to make informed business decisions.

One of the primary factors driving the growth of the account aggregators market is the increasing digitalization of financial services. As more consumers and businesses transition to online banking and digital financial solutions, the need for secure and efficient data aggregation becomes paramount. Account aggregators facilitate this by enabling seamless access to financial data from multiple sources, improving transparency and financial management. In addition, the rising demand for personalized financial services is prompting financial institutions to leverage account aggregation to gain deeper insights into user behavior and preferences.

Regulatory frameworks and government initiatives also play a significant role in the market's expansion. Various governments and regulatory bodies are mandating the adoption of open banking and data sharing protocols, which necessitate the use of account aggregation services. For instance, the European Union's PSD2 directive and India's Account Aggregator framework are designed to promote data portability and interoperability, thereby fostering a competitive and innovative financial ecosystem. These regulations not only ensure consumer data protection but also encourage the development of new financial products and services.

Technological advancements such as artificial intelligence (AI) and machine learning (ML) are further enhancing the capabilities of account aggregators. These technologies enable more accurate data analysis and predictive analytics, allowing businesses to forecast trends and make proactive decisions. Additionally, the integration of blockchain technology is expected to enhance data security and transparency, addressing concerns related to data breaches and fraud. As these technologies continue to evolve, they are likely to drive increased adoption of account aggregation solutions across various sectors.

From a regional perspective, North America is expected to dominate the account aggregators market, followed by Europe and Asia Pacific. The early adoption of advanced financial technologies and a highly developed financial infrastructure contribute to North America's leading market position. Europe is also witnessing significant growth due to stringent regulatory requirements and a strong emphasis on open banking initiatives. Meanwhile, Asia Pacific is emerging as a lucrative market, driven by rapid economic development, increasing internet penetration, and supportive government policies aimed at digital financial inclusion.

Component Analysis

The account aggregators market is segmented by components into software and services. The software segment is expected to hold a significant share of the market owing to the increasing adoption of advanced financial management solutions. Account aggregation software enables seamless integration and access to financial data from multiple accounts, providing users with a comprehensive view of their financial status. This segment is witnessing continuous innovation, with companies developing user-friendly interfaces and advanced analytics capabilities to meet the growing demand for personalized financial services.

Services, on the other hand, encompass a range of offerings including consulting, integration, and maintenance services. As organizations adopt account aggregation software, the need for expert consulting and integration services becomes crucial to ensure smooth implementation and operation. Maintenance services are also essential to address any technical issues and ensure the software's optimal performance. The growing demand for these services is driving significant revenue growth in this segment, as businesses seek to maximize the benefits of their account aggregation solutions.

Within the software segment, there is a growing trend towards cloud-based solutions. Cloud-based account aggregation software offers several advantages, including scalability, flexibility, and cost-effectiveness. These solutions enable businesses to access financial data from anywhere, at a

Data and Inferred Networks accompanying the manuscript entitled - “Aggregation of recount3 RNA-seq data improves the inference of consensus and context-specific gene co-expression networks”

Authors: Prashanthi Ravichandran, Princy Parsana, Rebecca Keener, Kaspar Hansen, Alexis Battle

Affiliations: Johns Hopkins University School of Medicine, Johns Hopkins University Department of Computer Science, Johns Hopkins University Bloomberg School of Public Health

Description:

This folder includes data produced in the analysis contained in the manuscript and inferred consensus and context-specific networks from graphical lasso and WGCNA with varying numbers of edges. Contents include:

• all_metadata.rds: File including meta-data columns of study accession ID, sample ID, assigned tissue category, cancer status and disease status obtained through manual curation for the 95,484 RNA-seq samples used in the study.

• all_counts.rds: log2 transformed RPKM normalized read counts for 5999 genes and 95,484 RNA-seq samples which was utilized for dimensionality reduction and data exploration

• precision_matrices.zip: Zipped folder including networks inferred by graphical lasso for different experiments presented in the paper using weighted covariance aggregation following PC correction.

• The networks can be found as follows. First, select the folder corresponding to the network of interest - for example, Blood, this will then include two or more folders which indicate the data aggregation utilized, select the folder corresponding appropriate level of data aggregation - either all samples/ GTEx for blood-specific networks, this includes precision matrices inferred across a range of penalization parameters. To view the precision matrix inferred for a particular value of the penalization parameter X, select the file labeled lambda_X.rds

• For select networks, we have included the computed centrality measures which can be accessed at centrality_X.rds for a particular value of the penalization parameter X.

• We have also included .rds files that list the hub genes from the consensus networks inferred from non-cancerous samples at “normal_hubs.rds”, and the consensus networks inferred from cancerous samples at “cancer_hubs.rds”

• The file “context_specific_selected_networks.csv” includes the networks that were selected for downstream biological interpretation based on the scale-free criterion which is also summarized in the Supplementary Tables.

• WGCNA.zip: A zipped folder containing gene modules inferred from WGCNA for sequentially aggregated GTEx, SRA, and blood studies. Select the data aggregated, and the number of studies based on folder names. For example, blood networks inferred from 20 studies can be accessed at blood/consensus/net_20. The individual networks correspond to distinct cut heights, and include information on the cut height used, the genes that the network was inferred over merged module labels, and merged module colors.

The global data broker market is experiencing robust growth, driven by the increasing demand for personalized services across various sectors. The market's expansion is fueled by the proliferation of data from diverse sources, the rise of big data analytics, and the escalating need for accurate consumer insights for targeted marketing and risk assessment. Companies are leveraging data broker services to enhance customer understanding, optimize marketing campaigns, improve fraud detection, and personalize user experiences. The growing adoption of cloud-based solutions and advanced analytics further accelerates market expansion. While data privacy regulations and concerns about data security pose challenges, the market continues to thrive due to the crucial role data brokers play in various business operations. We estimate the market size in 2025 to be approximately $150 billion, based on observed growth in related sectors like data analytics and marketing technology. A projected Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033 suggests the market will reach a significant size by the end of the forecast period, driven by ongoing technological advancements and increasing data availability. The competitive landscape is characterized by a mix of established players and emerging businesses. Major players like Acxiom, Experian, Equifax, and TransUnion dominate the market, leveraging their extensive data networks and advanced analytical capabilities. However, smaller companies and innovative startups are challenging the established players by focusing on niche segments and developing specialized data aggregation and analytics tools. The market is fragmented, with companies competing on data quality, accuracy, compliance, and the breadth of services offered. Strategic partnerships and acquisitions are expected to intensify as companies strive to expand their data portfolio and enhance their technological capabilities. The regional distribution is expected to reflect established economic patterns, with North America and Europe holding a significant market share initially, but growth in Asia-Pacific and other developing regions is anticipated to contribute significantly in the coming years.