PromptCloud offers cutting-edge data extraction services that empower businesses with real-time, actionable intelligence from the vast expanses of the online marketplace. We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

Our Amazon Best Seller Products Dataset is a key tool for businesses looking to understand and capitalize on market trends. It allows you to identify top-selling products and sellers, and track their performance across various categories and subcategories. This dataset is invaluable for competitive intelligence, monitoring trending products, and understanding customer sentiment. It also plays a crucial role in monitoring competitor prices and enhancing product inventory, ensuring that your business stays relevant and competitive.

Beyond Amazon, PromptCloud offers access to a diverse range of Ecommerce Product Data from various e-commerce websites. PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of ecommerce clients.

PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of clients, from news aggregators to job boards​​.

With over a decade of experience in extracting web data from any e-commerce website, PromptCloud stands as a seasoned veteran in the field. This extensive experience translates into high-quality, reliable data extraction, making PromptCloud your ideal product web data extraction partner. The reliability of our data is uncompromised, with a 100% verification process that ensures accuracy and trustworthiness.

This is the main dataset which consist a list all relevant details of the CS Track database. This dataset contains the following information from the CS Track database:

Citizen Science (CS) projects title

the data extracted date

the language of the CS projects informations

the URL(s) of the website(s) from where the CS projects information was extracted. For other studies developed in CS Track consortium it might be useful to consult this data

full list of assignments for research areas and SDGs for each CS project.

PRIO is hosting a copy of this dataset with permission from Global Data Lab. Please see their webpage for more information about this data.

Database of Service Provider Names, Websites, Mission, Location by Country, and Service Type who participated in the SelectUSA 2017 and 2018 Investment Summits

CottonGen (https://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data to enable basic, translational and applied research in cotton. Built using the open-source Tripal database infrastructure, CottonGen supersedes CottonDB and the Cotton Marker Database, which includes sequences, genetic and physical maps, genotypic and phenotypic markers and polymorphisms, quantitative trait loci (QTLs), pathogens, germplasm collections and trait evaluations, pedigrees, and relevant bibliographic citations, with enhanced tools for easier data sharing, mining, visualization, and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts. These whole genome data can be accessed through genome pages, search tools and GBrowse, a popular genome browser. Most of the published cotton genetic maps can be viewed and compared using CMap, a comparative map viewer, and are searchable via map search tools. Search tools also exist for markers, quantitative trait loci (QTLs), germplasm, publications and trait evaluation data. CottonGen also provides online analysis tools such as NCBI BLAST and Batch BLAST. This project is funded/supported by Cotton Incorporated, the USDA-ARS Crop Germplasm Research Unit at College Station, TX, the Southern Association of Agricultural Experiment Station Directors, Bayer CropScience, Corteva/Agriscience, Dow/Phytogen, Monsanto, Washington State University, and NRSP10. Resources in this dataset:Resource Title: Website Pointer for CottonGen. File Name: Web Page, url: https://www.cottongen.org/ Genomic, Genetic and Breeding Resources for Cotton Research Discovery and Crop Improvement organized by : Species (Gossypium arboreum, barbadense, herbaceum, hirsutum, raimondii, others), Data (Contributors, Download, Submission, Community Projects, Archives, Cotton Trait Ontology, Nomenclatures, and links to Variety Testing Data and NCBISRA Datasets), Search options (Colleague, Genes and Transcripts, Genotype, Germplasm, Map, Markers, Publications, QTLs, Sequences, Trait Evaluation, MegaSearch), Tools (BIMS, BLAST+, CottonCyc, JBrowse, Map Viewer, Primer3, Sequence Retrieval, Synteny Viewer), International Cotton Genome Initiative (ICGI), and Help sources (User manual, FAQs). Also provides Quick Start links for Major Species and Tools.

Gain exclusive access to verified Shopify store owners with our premium Shopify Users Email List. This database includes essential data fields such as Store Name, Website, Contact Name, Email Address, Phone Number, Physical Address, Revenue Size, Employee Size, and more on demand. Leverage real-time, accurate data to enhance your marketing efforts and connect with high-value Shopify merchants. Whether you're targeting small businesses or enterprise-level Shopify stores, our database ensures precision and reliability for optimized lead generation and outreach strategies. Key Highlights: ✅ 3.9M+ Shopify Stores ✅ Direct Contact Info of Shopify Store Owners ✅ 40+ Data Points ✅ Lifetime Access ✅ 10+ Data Segmentations ✅ FREE Sample Data

Database of bibliographic citations of multidisciplinary areas that covers various journals of medical, scientific, and social sciences including humanities.Publisher independent global citation database.

GlobalSMM is a pioneering company in the social media marketing (SMM) industry, offering a comprehensive range of services to individuals and businesses looking to boost their online presence. With a vast database of deals, GlobalSMM provides a one-stop solution for clients seeking to increase their Instagram likes, YouTube followers, TikTok views, and other social media metrics. The company's reputation is built on its commitment to quality, speed, and affordability, making it a trusted partner for those seeking effective SMM solutions.

GlobalSMM's platform is designed to cater to diverse needs and budgets, with options ranging from instant non-drop services to flexible ordering systems. The company's user-friendly interface and multiple payment options ensure seamless transactions, while its dedication to customer support and satisfaction guarantees a positive experience for clients. With a focus on innovation and strategic partnerships, GlobalSMM continues to evolve and improve its services, solidifying its position as a leading SMM provider in the market.

Delve into Serpstat's Backlinks Database, boasting an impressive 1.7 trillion links and covering 170 million domains. Our unique architectural feature ensures live and up-to-date data, eliminating any separation between fresh and historical records.

With Serpstat's Backlink Index, gain a complete and detailed picture of a domain's backlink profile. Our update period guarantees freshness, with full index data refreshed every 70 days, ensuring that you have access to the most current and relevant backlink information.

Experience the power of Serpstat's Backlinks Database in uncovering insights, optimizing strategies, and staying ahead in your SEO endeavors. Choose between purchasing the entire dataset or customizable subsets tailored to your specific needs.

Water use and supply data for 2015 joined to spatial boundaries. GPCD = Gallons Per Capita Day or Gallons Per Person Per Day. Supply and Use numbers are in Acre Feet Per Year (ACFT).

The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the Protected Planet website where the data is both viewable and downloadable. Data and information on the world's protected areas compiled in the WDPA are used for reporting to the Convention on Biological Diversity on progress towards reaching the Aichi Biodiversity Targets (particularly Target 11), to the UN to track progress towards the 2030 Sustainable Development Goals, to some of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) core indicators, and other international assessments and reports including the Global Biodiversity Outlook, as well as for the publication of the United Nations List of Protected Areas. Every two years, UNEP-WCMC releases the Protected Planet Report on the status of the world's protected areas and recommendations on how to meet international goals and targets. Many platforms are incorporating the WDPA to provide integrated information to diverse users, including businesses and governments, in a range of sectors including mining, oil and gas, and finance. For example, the WDPA is included in the Integrated Biodiversity Assessment Tool, an innovative decision support tool that gives users easy access to up-to-date information that allows them to identify biodiversity risks and opportunities within a project boundary. The reach of the WDPA is further enhanced in services developed by other parties, such as the Global Forest Watch and the Digital Observatory for Protected Areas, which provide decision makers with access to monitoring and alert systems that allow whole landscapes to be managed better. Together, these applications of the WDPA demonstrate the growing value and significance of the Protected Planet initiative.

Explore our expansive keyword database, housing 7.2 billion keywords across 229 countries, alongside detailed SERP results. Discover insights into search volume, keyword difficulty, CPC, competition, special search elements, and social domains.

Our database offers flexibility, available for purchase as the entire dataset or customizable subsets. With regular refreshes and a polishing option before sharing, ensure you're equipped with the most accurate and up-to-date information for informed decision-making and strategic planning in SEO and marketing endeavours.

Water use and supply data for 2016 joined to spatial boundaries. GPCD = Gallons Per Capita Day or Gallons Per Person Per Day. Supply and Use numbers are in Acre Feet Per Year (ACFT).

Non-anonymized subset of the databases used in the paper "Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace" (Christin, 2013). In this dataset, textual information (item name, description, or feedback text) and handles have not been anonymized and are thus available. We don't expect any private identifiers or other PII to be present in the data, which was collected from a publicly available website -- the Silk Road anonymous marketplace -- for a few months in 2012.

For less restricted usage terms, please consider the anonymized version, which is also available without any restrictions. This non-anonymized dataset should only be requested if your project MUST rely on full textual descriptions of items and/or feedback.

Christin (2013) Traveling the Silk Road: A measurement analysis of a large anonymous online marketplace. To appear in Proceedings of the 22nd International World Wide Web Conference (WWW'13). Rio de Janeiro, Brazil. May 2013.

The NIST RDaF is a map of the research data space that uses a lifecycle approach with six high-level lifecycle stages to organize key information concerning research data management (RDM) and research data dissemination. Through a community-driven and in-depth process, stakeholders identified topics and subtopics?programmatic and operational activities, concepts, and other important factors relevant to RDM. All elements of the RDaF framework foundation?the lifecycle stages and their associated topics and subtopics?are defined. Most subtopics have several informative references, which are resources such as guidelines, standards, and policies that assist stakeholders in addressing that subtopic. Further, the NIST RDaF team identified 14 Overarching Themes which are pervasive throughout the framework. The Framework foundation enables organizations and individual researchers to use the RDaF for self-assessment of their RDM status. The RDaF includes sample ?profiles? for various job functions or roles, each containing topics and subtopics that an individual in the given role is encouraged to consider in fulfilling their RDM responsibilities. Individual researchers and organizations involved in the research data lifecycle can tailor these profiles for their specific job function using a tool available on the RDaF website. The methodologies used to generate all features of the RDaF are described in detail in the publication NIST SP 1500-8.This database version of the NIST RDaF is designed so that users can readily navigate the various lifecycle stages, topics, subtopics, and overarching themes from numerous locations. In addition, unlike the published text version, links are included for the definitions of most topics and subtopics and for informative references for most subtopics. For more information on the database, please see the FAQ page.

NBDC Portal is a portal site for databases and web tools in life science, developed by National Bioscience Database Center (NBDC) at the Japan Science Technology Agency (JST). The site contains the Database Catalog, Life Science Database Cross Search, Life Science Database Archive, etc. Users can access a variety of life science databases from this website.

The Database of Research Activity (DoRA) is a publicly accessible, searchable website. The database covers all Queensland Health human research. The Database of Research Activity (DoRA) is a publicly accessible, searchable website. The database covers all Queensland Health human research.

.WEBSITE Whois Database, discover comprehensive ownership details, registration dates, and more for .WEBSITE TLD with Whois Data Center.

Three dimensional structures provide a wealth of information on the biological function and the evolutionary history of macromolecules. They can be used to examine sequence-structure-function relationships, interactions, active sites, and more.

Discover domain data with our Whois Database query on 2024-03-29. Accurate insights for your research. Explore Whois Data Center for reliable information.