This data archive accompanies our work, in which we analyze a pseudo-relevance retrieval method that is based on the results of web search engines. By enriching topics with text data from web search engine result pages and linked contents, we train topic-specific and cost-efficient classifiers that can be used to search test collections for relevant documents. Building up on attempts that were initially made at TREC Common Core 2018 by Grossman and Cormack, we address the questions of system performance over time considering different search engines, queries and test collections. Our experimental results show how and to which extent the considered components affect the retrieval performance. Overall, the analyzed method is robust in terms of average retrieval performance and a promising way to use web content for the data enrichment of relevance feedback methods.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Nymblr offers access to over 80 million US-based verified B2B contacts with valid work emails, personal emails, work phones & direct dials, and social profiles. Easily enrich your contact data in real-time with our APIs or provide us with flat files with your records and we'll do the work for you.

Nymblr makes it easy to enrich emails, phone numbers, social media profiles and receive additional data attributes including:

Job Title Seniority Level (C-Level/Owner, VP, Director, etc.) Job Department (Sales, Accounting, Marketing, Finance, etc.) Skills Company Name/Company Domain Company Industry Company SIC Company Revenue Company Size Location (State, and City)

Contact us to get a free trial today! No commitments required.

Success.ai offers a powerful platform for accessing extensive EU company data, designed to meet the dynamic marketing and advertising needs across diverse industries. This specialized dataset includes detailed profiles of over 28 million companies, from burgeoning startups to established private firms, tailored to support precise data enrichment and targeted marketing.

Enrichment API Capabilities:

• Seamless Data Integration: Utilize our enrichment APIs to integrate and update your systems with real-time data, enhancing data accuracy and utility.
• Custom API Solutions: Tailor API services to your specific needs, ensuring you receive the most relevant data for your business initiatives.

Key Benefits:

• Diverse Data Collection: Our comprehensive database covers a broad spectrum of EU company data, offering rich insights for varied marketing strategies.
• Tailored for Marketing Excellence: Maximize engagement and ROI in your email marketing, B2B marketing, and advertising campaigns with high-quality, targeted data.
• Global Reach with Local Insights: Our data spans across the EU, providing detailed insights tailored to both global strategies and localized campaigns.
• Actionable Insights for Strategic Marketing: Refine your marketing tactics with precise data, reaching the right audience with the right message.

Key Use Cases Leveraged by Success.ai:

• Data Enrichment: Enhance your database quality by integrating detailed EU company data, ensuring accuracy and relevance in your marketing efforts.
• Email Marketing: Utilize refined data to craft personalized email campaigns that resonate with your target audience, driving better engagement and conversions.
• B2B Marketing: Access detailed EU company profiles to design bespoke B2B marketing strategies that reach decision-makers effectively.
• Advertising: Leverage precise company insights to optimize ad targeting, maximizing your advertising spend and improving campaign performance.
• Comprehensive Marketing Support: Utilize our data to support a wide range of marketing activities, from lead generation to brand awareness campaigns.

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• Best Price & Quality Guarantee: We ensure you receive the highest value for your data investment, beating any competitor’s pricing.
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• Compliance and Integrity: All our data practices adhere to GDPR and other international regulations, ensuring ethical usage and peace of mind.

Get Started with Success.ai Today: Let Success.ai transform your marketing and advertising strategies with our comprehensive and reliable EU company data. Contact us to discover how our tailored solutions can help you achieve your business goals and maintain a competitive edge.

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Data used for material presented in manuscript "Optimization Based Data Enrichment Using Stochastic Dynamical System Models".

Noisy trajectories were simulated and analyzed using the methods presented in the above work. Results were described in the manuscript. Data is provided for easy use in MATLAB.

Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

People Data Graph

• Record Count: 900 Million
• Capturing Frequency: Once per Event
• Delivering Frequency: Once per Month
• Updated: Monthly

People Data

Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

Business Needs

Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

Massively parallel sequencing technologies have made it possible to generate large quantities of sequence data. However, as research-associated information is transferred into clinical practice, cost and throughput constraints generally require sequence-specific targeted analyses. Therefore, sample enrichment methods have been developed to meet the needs of clinical sequencing applications. However, current amplification and hybrid capture enrichment methods are limited in the contiguous length of sequences for which they are able to enrich. PCR based amplification also loses methylation data and other native DNA features. We have developed a novel technology (Negative Enrichment) where we demonstrate targeting long (>10 kb) genomic regions of interest. We use the specificity of CRISPR-Cas9 single guide RNA (Cas9/sgRNA) complexes to define 5′ and 3′ termini of sequence-specific loci in genomic DNA, targeting 10 to 36 kb regions. The complexes were found to provide protection from exonucleases, by protecting the targeted sequences from degradation, resulting in enriched, double-strand, non-amplified target sequences suitable for next-generation sequencing library preparation or other downstream analyses.

Raw next-generation sequencing data from experiments.

We can apply preliminary filters like geography, industry, employee size, revenue etc and also custom filters like technology used and skills. Triple verified b2b data with quality and accuracy guarantees.

Sample list can be provided based on client's requirement and pricing is based on purchase volume and criteria. The more client purchases, the less price per contact.

Abstract
Premise of the study: The Compositae (Asteraceae) are a large and diverse family of plants, and the most comprehensive phylogeny to date is a meta-tree based on 10 chloroplast loci that has several major unresolved nodes. We describe the development of an approach that enables the rapid sequencing of large numbers of orthologous nuclear loci to facilitate efficient phylogenomic analyses. Methods and Results: We designed a set of sequence capture probes that target conserved orthologous sequences in the Compositae. We also developed a bioinformatic and phylogenetic workflow for processing and analyzing the resulting data. Application of our approach to 15 species from across the Compositae resulted in the production of phylogenetically informative sequence data from 763 loci and the successful reconstruction of known phylogenetic relationships across the family. Conclusions: These methods should be of great use to members of the broader Compositae community, and the general approach should also be of use to researchers studying other families.

This dataset contains data used to assess a method designed to implement Food Consumption DataBase (FCDB) enrichment task and associated results for a given use case. This use case consists in finding in USDA values associated with nutrients vitamin C, vitamin B12 and iron when they are not known in Ciqual for a given food. This data set contains three files: (1) Automatic alignments of Ciqual foods on FoodOn foods, (2) Automatic alignments of USDA foods on FoodOn foods, (3) the list of 99 Ciqual food products for which at least one of the values associated with the 3 nutrients is not known in Ciqual and at least one similar term can be found in USDA, (4) the subset of 75 alignments Ciqual->USDA found using FoodOn as pivot ontology.

Premise of the study: The Compositae (Asteraceae) are a large and diverse family of plants, and the most comprehensive phylogeny to date is a meta-tree based on 10 chloroplast loci that has several major unresolved nodes. We describe the development of an approach that enables the rapid sequencing of large numbers of orthologous nuclear loci to facilitate efficient phylogenomic analyses. Methods and Results: We designed a set of sequence capture probes that target conserved orthologous sequences in the Compositae. We also developed a bioinformatic and phylogenetic workflow for processing and analyzing the resulting data. Application of our approach to 15 species from across the Compositae resulted in the production of phylogenetically informative sequence data from 763 loci and the successful reconstruction of known phylogenetic relationships across the family. Conclusions: These methods should be of great use to members of the broader Compositae community, and the general approach should also be of use to researchers studying other families.

Functional analysis of quantitative expression data is becoming common practice within the proteomics and transcriptomics fields; however, a gold standard for this type of analysis has yet not emerged. To grasp the systemic changes in biological systems, efficient and robust methods are needed for data analysis following expression regulation experiments. We discuss several conceptual and practical challenges potentially hindering the emergence of such methods and present a novel method, called FEvER, that utilizes two enrichment models in parallel. We also present analysis of three disparate differential expression data sets using our method and compare our results to other established methods. With many useful features such as pathway hierarchy overview, we believe the FEvER method and its software implementation will provide a useful tool for peers in the field of proteomics. Furthermore, we show that the method is also applicable to other types of expression data.

Our identity dataset users can deliver their customer IDs to be matched by our platform and get identities for other platforms and devices in return, thus enabling new channels for communication. Identity Data is used for various purposes including identity verification, authentication, fraud prevention, and personalization of services.

Identity Data Reach: Our data reach comprises the total number of device data linked to hashed email data of first-party data owners. Using our identity graph, we attach IPs, device ids, as well as identities for other platforms and devices in return, thus enabling new channels for communication.

Record Count: 500 Million+ Updated: Monthly Historical: Past 6 months

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method as and when required via Data Clean Rooms. We will enrich your data based on your requirement within privacy-compliant data clean rooms.

Identity Graph Use Cases: Identity Resolution: Create unified and coordinated client profiles (B2B/B2C) to obtain comprehensive insights and tailor cross-channel customer interactions. Data Enrichment: Leverage first party data to identify linkage in order to build holistic audience segments via data enrichment techniques to improve campaign targeting.

Data Attributes: anonymous id id_type ipv4 email_sha1 email_sha2 email_md5 timestamp country

Our identity dataset allows businesses to submit their customer IDs, which our platform matches to identities across various platforms and devices. This process opens up new communication channels by using multiple data points to determine or probabilistically match users to their corresponding identities.

Identity Data Reach

Our dataset links device data to hashed email data from first-party data owners. Leveraging our identity graph, we connect IP addresses, device IDs, and other platform identities, enabling more comprehensive communication channels.

• Record Count: 500 Million+
• Updated: Monthly
• Historical Data: Past 6 Months

Data Export Methodology

We dynamically collect and update data, providing the latest insights through Data Clean Rooms. This method ensures privacy compliance while enriching your data according to your specific requirements.

Use Cases

Our identity dataset is crucial for identity resolution and data enrichment, empowering businesses to enhance their customer data and expand their reach across multiple platforms and devices.

Abstract: The objective of this study was to evaluate the effects of the implementation of different environmental enrichment techniques on the behavior of Puma concolor kept in captivity. Five Puma concolor, four males and one female, belonging to the Municipal Zoo of Ribeirão Preto-SP, were used for this study. For purposes of environmental enrichment, vine and sisal balls and cardboard boxes containing beef or lemon grass and cinnamon were introduced into the enclosures of the felines. The behavioral data were submitted to descriptive analysis. Even in captivity, the animals showed territorial demarcation behavior, such as urinating and roaring when feeling threatened. In addition, there was a greater interest of the Puma concolor for the cardboard boxes with beef to the detriment of those that contained lemon grass and cinnamon. The cougars also showed to be entertained by the vine and sisal balls. These findings suggest success of the environmental enrichment strategies studied, which was evidenced by the interest of the felines in the different evaluated materials. In addition, the enrichment strategies used in this study represent simple and low-cost strategies that contribute to the well-being of Puma concolor and can be applied in other institutions that house these animals.

Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully understood. Here, we comprehensively analyze immune cell phenotypes including morphology across human cohorts by single-round multiplexed immunofluorescence, automated microscopy, and deep learning. Using the uncertainty of convolutional neural networks to cluster the phenotypes of 8 distinct immune cell subsets, we find that the resulting maps are influenced by donor age, gender, and blood pressure, revealing distinct polarization and activation-associated phenotypes across immune cell classes. We further associate T-cell morphology to transcriptional state based on their joint donor variability, and validate an inflammation-associated polarized T-cell morphology, and an age-associated loss of mitochondria in CD4+ T-cells. Taken together, we show that immune cell phenotypes reflect both molecular and personal health information, opening new perspectives into the deep immune phenotyping of individual people in health and disease. Methods This dataset accompanies the manuscript "Multiplexed high-throughput immune cell imaging reveals molecular health-associated phenotypes" by Yannik Severin et al., Science Advances, 2022. It includes: - knnlea.m: Matlab function for the presented Local Enrichment Analysis method - LEA_Example_Data.mat containing data from the manuscript to reproduce a LEA analysis - LEA_Example_Script.mat that runs through the analysis steps - README.txt

Data and R scripts used for the analysis and graphic representation used in the article "Comparison of enrichment methods for efficient nitrogen fixation on a biocathode"

Heterogeneity of protein glycosylation poses great challenge for analysis that is key to un-puzzle systems glycobiology in diseases. Resolving this conundrum requires global enrichment of glycopeptides for identification and quantitation. To this aim, hydrophilic interaction chromatography (HILIC) has been proved to be an effective approach to enrich N-linked glycopeptides (N-glycopeptides). However, its effectiveness to enrich O-linked glycopeptides (O-glycopeptides) and isobaric labelled glycopeptides remains unclear. Here, we studied three different cartridges in HILIC mode. It was found that removal of N-glycosylation prior to enrichment improved identification of O-glycopeptides. It was noted that increased yield and number of glycosylation identification were seen when using cartridges having materials for strong anion exchange (SAX) chromatography. Remarkably, O-glycopeptides were found to be selectively enriched by HILIC with further improved enrichment being seen when Retain AX cartridge being used. Of particular note, isobaric labelled glycopeptides could be readily enriched by SAX cartridges in HILIC mode to enable quantitative glycoproteomics. It is anticipated that the use of SAX cartridges will facilitate broad applications of qualitative and quantitative glycoproteomics in diseases.

DNA barcoding has become a valuable tool to support species identification with a broad range of applications in fields such as traditional taxonomy, ecology, forensics, food analysis, and environmental science. We introduce Microfluidics Enrichment Barcoding (MEBarcoding) for plant DNA Barcoding, a cost-effective method for high throughput DNA barcoding. MEBarcoding uses the Fluidigm Access Array™ to simultaneously amplify targeted regions for 48 DNA samples and hundreds of PCR primer pairs (a total of 23,040 PCR products) during a single thermal cycling protocol. A second generation instrument from Fluidigm, called the Juno™, can accommodate 192 DNA samples simultaneously. As a proof of concept, we developed a microfluidic PCR workflow using the Fluidigm Access Array™ and Illumina MiSeq to generate new sequences from 96 samples for each of the four primary DNA barcode loci in plants: rbcL, matK, trnH-psbA, and ITS (384 total sequences). This workflow was used to build a reference library that includes 78 families and 96 genera from all major plant lineages, including bryophytes, ferns and lycophytes, gymnosperms, and all major groups of angiosperms, which are currently lacking in public databases. Our results demonstrate that this technique offers a highly efficient alternative method to traditional PCR and Sanger sequencing by increasing the estimated number of plant DNA barcodes that can be sequenced by a single technician in one week by 800%, at a reduced cost, and by generating a barcode library with a more comprehensive taxonomic coverage.