I mainly used single words from dictionaries and used passwords from published password dumps.

No, I used my own parser but since it wasn;t/isn't finished yet I got the transactions and balance from using the Blockchain API.

The steps involved for creating such a list:

• Perform a SHA-256 on the input (word/phrase)
• Check the generated private key (compressed/uncompressed) against my own databases with successes
• If Private key is not in database create BTC-address from the key(s)
• Check if BTC address exists on blockchain based on my own database with all BTC-addresses
• If address is found store the private key and passphrase in the database and get info on number of transactions and balance from Blockchain API

That's about it.

I did look into Brainflayer and also used it in the process. But you got to keep in mind Brainflayer is not a standalone solution. It depends on creating a Bloom filter based upon all addresses used in the BTC-Blokchain. So you first need to come up with such a list: this is where I used my own parser to create the list. In 2015 when Brainflayer was released there were about 80 Million unique addresses on the blockchain which lead to a lot less false positives than when used on the 400 Million plus unique addresses currently in use. And finally Brainflayer just reports if a match was found it doesn't do any looking into transactions or balances used.

So what I did was make use of Brainflayer to do a very fast scan using a Bloomfilter and I processed the results from there within my own tooling to filter out false positives, duplicates and add extra information on transactions and balances.

I personally believe most of the ones with a 0.00005460 deposit and withdrawal are in there because of some experiment in the past where simple dictionary words were used to see how long it would take for an attacker to grab the funds. I do agree with you the ones with the most transactions are the ones most interesting that's why I sorted the list by number of transactions. I still think the other ones are interesting as well when trying to compose a list of brainwallets which have been used in the past.

Biggest is over 500 BTC. As stated on the site (https://eli5.eu/brainwallet/detail/14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE.html):

General Information
The passhrase below was used as a Brainwallet to generate the given address.

BTC Address: 14NWDXkQwcGN1Pd9fboL8npVynD5SfyJAE
Used passphrase: bitcoin is awesome
Total transactions: 19
Amount received: 501.06500863 BTC
Amount spent: 501.06500863 BTC

Proof
You can check the private key is indeed known by verifying the following signed message when running your own node:

Very interesting data, and proof that we are inherently awful at privacy. I think my personal favorite is number 72, "how much wood could a woodchuck chuck if a woodchuck could chuck wood", which has held over 500 BTC.

You've missed a decimal point at entry 266 - it currently says it has held over 2 billion BTC. 

This thread might be of interest to you: https://bt.irlbtc.com/view/2488493.0

And I did something similar with Ethereum (only used some ~10,000 most common passwords): https://bt.irlbtc.com/view/2488493.msg42291616#msg42291616

Fixed some nasty bugs which caused some addresses to stay blank on the overview-pages and fixed some wrong amounts_in and amounts_out which were not properly converted in some cases.

I also added another 60 new entries to the list based on a small sweep I just completed so the list currently contains 18.569 entries.

Finally: I'm always interested in new datasets to try and/or results from other people who conducted this kind of Research. I aim to let this list grow to the best source for compromised brainwallets.

Is there there a list of addresses in plain text?
I want to compare your list with mine