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

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

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.

What information do you include in your sales and marketing database?

When you buy one of our sales and marketing databases, all records we supply to you hold the below information (where it is available):

-Company name -Address (including town, county and postcode) -Phone number (including area code) -Website address -Company registration number and date of incorporation -Financial information (for example, net worth, turnover band, profit and loss, profit percentage change, sales increase or decrease) -Senior decision maker name -Senior decision maker email address (if we do not have this information, we will provide the next best email for example, a departmental email address) -Top-level market sector and granular industry classification -Standard Industrial Classification (SIC) code -Number of employees (both onsite and nationally) -Premise type and description -Number of branches -Legal status (for example, sole trader, partnership, private limited company)

Why use Metric Central?

There are several marketing database providers out there, but these are the reasons why you should choose us for your prospecting requirements.

The most up to date information on the market: We refresh our database every day, meaning when you buy from us, you will have the most up to date and accurate details, without having to worry about database decay, duplicated records

Reach out directly to the key decision-maker: Unlike some lists which will only give you a generic company email address, we will provide you with the name and details of the company’s key decision-maker, meaning you can directly reach out to the person with purchasing power, without being held back by the company gatekeeper

Buy online and use straightaway: With a lot of companies providing a similar product to ours, you have to reach out to them for a quote before you receive your product. Our sales and marketing database can be bought online and downloaded straight away, meaning you can start reaching out to decision-makers the very same day you buy. We even tell you how many companies your data will contain before you commit to purchasing!

A wide range of contacts: We have contact details for prospective customers across a wide range of different industries meaning no matter what your product or service is, we have your needs covered. Check out our website for a full list of databases we can provide CRM ready data: Our list can be uploaded straight into your CRM system of choice, meaning your sales team can start reaching out to prospective customers immediately.

Competitive pricing: We’re one of the most cost-effective companies on the market, combining a high-quality product with an accessible price point. Decades of experience: With several years of experience in the sales agency, our team at Metric Central is well-equipped to understand your pain points and provide you with the data you need to help you sell your product or service

If you would like to know more about the data services we offer and how we can help you grow your business, please don’t hesitate to get in touch with us today, and one of our experienced team reach out to you with the information you need.

Please note: All data is supplied under legitimate interest. The term of supply is as standard of a 12-month multi licence agreement which allows unlimited postal and telephone communication with 12 cold email sends.

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

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.

Choosing a database for your Web site is a book. It was written by John Paul Ashenfelter and published by Wiley in 1999.

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.

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.

What information do you include in your sales and marketing database?

When you buy one of our sales and marketing databases, all records we supply to you hold the below information (where it is available):

-Company name -Address (including town, county and postcode) -Phone number (including area code) -Website address -Company registration number and date of incorporation -Financial information (for example, net worth, turnover band, profit and loss, profit percentage change, sales increase or decrease) -Senior decision maker name -Senior decision maker email address (if we do not have this information, we will provide the next best email for example, a departmental email address) -Top-level market sector and granular industry classification -Standard Industrial Classification (SIC) code -Number of employees (both onsite and nationally) -Premise type and description -Number of branches -Legal status (for example, sole trader, partnership, private limited company)

Why use Metric Central?

There are several marketing database providers out there, but these are the reasons why you should choose us for your prospecting requirements.

The most up to date information on the market: We refresh our database every day, meaning when you buy from us, you will have the most up to date and accurate details, without having to worry about database decay, duplicated records

Reach out directly to the key decision-maker: Unlike some lists which will only give you a generic company email address, we will provide you with the name and details of the company’s key decision-maker, meaning you can directly reach out to the person with purchasing power, without being held back by the company gatekeeper 100% GDPR compliance: All of our records come with a full General Data Protection Regulation (GDPR) compliance audit trail, meaning you can reach out to prospects with the peace of mind you are compliant with the latest legislation

Buy online and use straightaway: With a lot of companies providing a similar product to ours, you have to reach out to them for a quote before you receive your product. Our sales and marketing database can be bought online and downloaded straight away, meaning you can start reaching out to decision-makers the very same day you buy. We even tell you how many companies your data will contain before you commit to purchasing!

A wide range of contacts: We have contact details for prospective customers across a wide range of different industries meaning no matter what your product or service is, we have your needs covered. Check out our website for a full list of databases we can provide CRM ready data: Our list can be uploaded straight into your CRM system of choice, meaning your sales team can start reaching out to prospective customers immediately.

Competitive pricing: We’re one of the most cost-effective companies on the market, combining a high-quality product with an accessible price point. Decades of experience: With several years of experience in the sales agency, our team at Metric Central is well-equipped to understand your pain points and provide you with the data you need to help you sell your product or service

If you would like to know more about the data services we offer and how we can help you grow your business, please don’t hesitate to get in touch with us today, and one of our experienced team reach out to you with the information you need.

Please note: All data is supplied under legitimate interest. The term of supply is as standard of a 12-month multi licence agreement which allows unlimited postal and telephone communication with 12 cold email sends.

This layer of data locates the sites contained in the Sites & Organisations database managed by Rennes Métropole services. In the long term, other actors will be able to contribute to the updating of this database (territorial authorities, equipment managers, association...). This layer is the result of merging 3 layers of data that were managed by 3 different services. To streamline their management and pool updating efforts, it was decided to group them into a single database (the Sites & Organisations database) and set up an appropriate management tool. The Sites & Organisations database aims to bring together public, semi-public and private facilities receiving from the public as well as many associations that use them at the Rennes Métropole scale. The Sites & Organisations described may also be provided with business data specific to the profile of these various contributors. A “site” is a geographically located “container” (by an address and geographical coordinates) to which an “activity” described by an organisation (content) is mandatory. When a site is not limited to a building but is represented by a large area (e.g. sports complex, university, hospitals...), the notion of “father site” is used. An “organisation” represents an “activity” specified by a description, a nomenclature, keywords, timetables and, where applicable, business data. Its location will result from its association with a site. An organisation may not have a linked site (no location) when it comes to a phone number, a website... Description of the fields awarded: id_site: Site Identifier name_site: Site name name_pvci: Name of the site used on the Plan de Ville Communal et Intercommunal de Rennes Métropole etat_site: Site Status (active/inactive/project) id_level_site: Level (0 by default) id_site_pere: Father site identifier name_site_pere: Father site name id_org_main: Principal organism identifier name_org_main: Name of main organisation id_theme_main: Nomenclature (identifying the theme attached) name_theme_main: Nomenclature (name of theme attached) id_activite_main: Nomenclature (identifying the activity attached) name_activite_main: Nomenclature (name of activity attached) id_specialite_main: Nomenclature (identifying the speciality attached) name_specialite_main: Nomenclature (name of speciality attached) name_org_secondary: Name of organisation(s) associated with the site Access to the nomenclature is available below in the metadata.

Continuous Water Quality Monitoring (CWQM) refers to the application of in situ instrumentation coupled with operational and analytical methodologies that enable acquisition of temporally and (or) spatially dense datasets without the need for routine collection and analysis of physical samples other than for periodic calibration purposes.

This data collection contains the results of an evaluation of commercially available CWM instruments for deployment in Queensland estuarine and marine settings. The instruments were evaluated on criteria which included (i) utility of analyte to both modelling and monitoring requirements, (ii) ability to measure analyte concentrations accurately and capture relevant temporal and spatial variability, (iii) cost, both capital and ongoing operational, (iv) logistics, including maintenance requirements, mounting, telemetry infrastructure and site access, and (v) ease of instrument operation and the required effort for information to be understood and applied.

This information was used to inform the strategy for implementing a CWQM program to support the eReefs research platform (please refer to the linked publication for details)

Important Disclaimer The information contained in this datasets includes general statements based on scientific research and on evaluation of instruments as they were at a particular point in time for a specific set of purposes. This information may be obsolete, incomplete or unable to be used in any specific situation. Reuse it at your own risk. Lineage: The CWQM Instruments Database was originally published as a subsection of the TERN Australian Coastal Ecosystems Facility (ACEF) website at a URL of http://acef.tern.org.au/wqtech/. The database records were create on September 24th, 2014 and so the instrument information is only current for that date.

This website was based on the Drupal 7 Content Management System (CMS) and the database was implemented using a mix of Drupal entity types, including taxonomies, fieldsets and custom content types. The files in this data collection have been created by exporting data from that website in tabular formats, editing some column names for readability, and updating the CWQM Instrument Image filenames to be readable. The exports were performed on 2024-12-03, using a backup of the ACEF website database created at the time the website was decommissioned in July 2024.

The data files are: CWQM-Instruments-Database.xlsx - contains multiple worksheets, one for each Drupal entity which made up the database. Each worksheet has a single header-row.

CWQM-Instrument-Manufacturers.csv, CWQM-Instrument-Parameters.csv, CWQM-Instruments.csv, CWQM-Interfaces.csv and CWQM-Parameters.csv are all UTF-8-encoded exports from the CWQM-Instruments-Database.xlsx spreadsheet in comma-separated-variables (CSV) format, one file per worksheet. All CSV files have a single header-row.

The CWQM-Instruments-Images image gallery contains an image of each of the instruments in the database (see the CWQM Instruments worksheet/csv file for which filename goes with which instrument). Copyright and credit for these images should be attributed to the manufacturer of the instrument in question.

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.

The statistic shows the size of the global commercial database market, from 2013 to 2021. In 2018, the commercial database market is forecast to fall to 25 billion U.S. dollars. The market's decline is linked to the growth of cloud software as a service and the rise of non-relational and open source database solutions, which offer an alternative to the SQL standard championed by the major commercial database vendors.

Discover unparalleled business opportunities with our Targeted Email List, featuring over 2 billion global contacts.

Explore our global B2B contact and company database, providing essential data fields including Name, Website, Contact First Name, Contact Last Name, Job Title, Email Address, Phone Number, Revenue Size, Employee Size, Location, City, State, Country, Zip Code, and additional customizable data fields upon request. Access a comprehensive repository tailored to meet your specific business needs, ensuring you have access to accurate and detailed information for effective networking and targeted outreach.

The CottonGen CottonCyc Pathways Database, part of CottonGen, supports searching and browsing the following CottonCyc databases: Cyc pathways for JGI v2.0 G. raimondii D5 genome assembly This Cyc database was constructed using PathwayTools version 20.0 using the gene models from the JGI v2.0 D5 genome assembly of Gossypium raimondii. There has been no manual curation of this Cyc database. Pathway predictions were made using PathwayTools and in-silico v2.1 annotations as provided by JGI. Cyc pathways for CGP-BGI v1.0 G. hirsutum AD1 genome assembly This Cyc database was constructed using PathwayTools version 20.0 using the gene models from the CGP-BGI v1.0 AD1 genome assembly of Gossypium hirsutum. There has been no manual curation of this Cyc database. Pathway predictions were made using PathwayTools and in-silico v1.0 annotations as provided by CGP-BGI. Search parameters include genes, proteins, RNAs, compounds, reactions, pathways, growth media, and BLAST search. Resources in this dataset:Resource Title: Website Pointer to CottonGen CottonCyc Pathways Database. File Name: Web Page, url: http://ptools.cottongen.org/

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.

[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items. FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website. Resources in this dataset:Resource Title: Website Pointer to Food and Nutrient Database for Dietary Studies. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/ USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values.

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 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.