A good start when you want a phylogeny that includes specific species is to use the NCBI Taxonomy Common Tree tool: https://www.ncbi.nlm.nih.gov/Taxonomy/CommonTree/wwwcmt.cgi
It allows you to specify 2 or more species. You specify the species by searching their binomials or TAXIDs one by one to add them, or upload a text file with one species binomial per ...
The Census Bureau has MSA's outlined in their API system. Here is an example of the list of 2019 MSA with total populations. It is technically in JSON format, but it would be very easy to Find/Replace the brackets and end-of-line commas out to turn it into a comma-separated values structure.
I found one source that has the data as an html table.
You can use pandas to parse the html table as a dataframe, and then write a csv:
import pandas as pd
df = pd.read_html(requests.get('https://www.slickcharts.com/sp500',
I believe the closest you can get is a monthly average retail price. The Energy Information Agency provides a monthly report on average retail price of electricity by state (note that EIA has an API if you want to access this data programmatically):
As mentioned in the comments, it's unlikely that any significant amount of residential customers in ...
The easiest way to access this data is probably to get daily summaries from the NOAA Global Historical Climatology Network-Daily dataset and then aggregate them to weekly values. So if you're interested in how mortality is affected by weekly maximum and minimum temperature, you could calculate that by finding the highest of the daily maximum temperatures for ...