Lotte Mart products data is extracted by crawl feeds team. We tracked very minimal data points in this dataset.

Dataset consisting of 200+ single nucleotide polymorphisms associated with treatment response, specifically for skin conditions. File CSV includes variant ID, allele, gene, drug, functional influence and chromosome position. This information can be used in SNP panel development.  

Dataset consisting of 450+ single nucleotide polymorphisms associated with popular skin conditions. File CSV includes variant ID, allele, gene and functional influence. This information can be used in SNP panel development.  

A complete list of all McDonald's US restaurant locations including Guam (GU) and Northern Mariana Islands (MP).

8k data with Cannabis businesses list details Contains: Company Name Sources Link Industry Website Contact Name Contact Title E-mail Number Adress Country  

Lead generation list of phone verified IT Director, VP & C-Level of USA companies, variety of industries - includes name, email, direct phone, company phone, company size, industry, address, and more info.  

Skin care dataset is extracted from amazon and crawl feeds team used in-house tools to extract the data.

I have been working on a script for a year now that is live trading on an exchange on 250 crypto assets at a time. my script logs all the candles that are moving and evaluated against the previous price candle. If the price is higher as the previous price it is stated as an up candle logged.   Every new candle is logged inside a database , i exported the database as an csv.   It counted every candle from the beginning of the script untill the day when i uploaded this dataset info. The higher the candle number the higher the intereset in certain assets.   It also calculates the RSI , detect when an asset is spiking , min - max -average candle day price , 2D prince , 7D price , 30d price , 6M price , etc   It is a very interesting dataset for learning Machine learning or trying to understand the crypto market. with 50k lines of data you can try to predict when i crypto asset is rising or spiking.   Feel free to contact me if you have more questions related to my script or any values that are logged inside the database  

Unlock endless growth opportunities with our meticulously curated dataset featuring 6,000 high-quality B2B leads sourced from G2.com, the trusted platform for software and services reviews. Our data spans diverse industries and niches, providing a valuable resource for your sales, marketing, and business development efforts. Key Features: Rich Data Diversity: Our dataset covers a wide spectrum of industries, company sizes, and job roles, ensuring you have access to leads relevant to your business objectives. Fresh and Verified: We've invested in data cleansing and verification to guarantee the accuracy and reliability of every lead. Customizable Packages: Tailor your data acquisition to suit your specific needs. We offer customizable packages to match your industry and target audience. Ease of Integration: Our data is provided in industry-standard formats (CSV, Excel), making integration into your CRM or marketing automation system a breeze. Competitive Pricing: Benefit from competitive pricing options that ensure you get the best value for your investment. Unlock the potential of these leads to fuel your sales pipeline, expand your customer base, and drive growth for your business. Act now to gain a competitive edge and explore the world of possibilities with our high-quality B2B data.

I have been working on a script for a year now that is live trading on an exchange on 250 crypto assets at a time. my script logs all the candles that are moving and evaluated against the previous price candle. If the price is higher as the previous price it is stated as an up candle logged.   Every new candle is logged inside a database , i exported the database as an csv.   It counted every candle from the beginning of the script untill the day when i uploaded this dataset info. The higher the candle number the higher the intereset in certain assets.   It also calculates the RSI , detect when an asset is spiking , min - max -average candle day price , 2D prince , 7D price , 30d price , 6M price , etc   It is a very interesting dataset for learning Machine learning or trying to understand the crypto market. with 50k lines of data you can try to predict when i crypto asset is rising or spiking.   Feel free to contact me if you have more questions related to my script or any values that are logged inside the database  

I have been working on a script for a year now that is live trading on an exchange on 250 crypto assets at a time. my script logs all the candles that are moving and evaluated against the previous price candle. If the price is higher there is an up candle logged. Every new candle is logged inside a database , i exported the database as an csv. It counted every candle from the beginning of the script untill the day when i uploaded this dataset info. The higher the candle number the higher the intereset in certain assets. It also calculates the RSI , detect when an asset is spiking , min - max -average candle day price , 2D prince , 7D price , 30d price , 6M price , etc. My script is still running from the day i uploaded this dataset. i worked very hard on this piece of code. This dataset is very iintereseting for machine learning or understanding the crypto market

This dataset contains list of facebook users who are member of integromat facebook group. Integromat (now make.com) is a popular automation SaaS that allows users to design their own automation flow consisting of multiple marketing tools. Competitors of integromat are Zapier, Integrately, etc You can use this list to find propsects who are most likely interested in SaaS products