The Long Memory — Source Attribution
=====================================

This site combines public and openly-licensed data from many sources. Each
source retains its own license. Akashic's own original work is licensed
separately under CC BY 4.0 (see LICENSE.txt).

== Election results, 1876–2024 ==

  MIT Election Data and Science Lab (MEDSL)
    "County Presidential Election Returns, 2000-2024"
    https://electionlab.mit.edu/
    License: CC BY 4.0 / public domain (per MEDSL terms)
    DOI: 10.7910/DVN/VOQCHQ

  MIT Election Data and Science Lab (MEDSL) — Congressional returns
    "U.S. House 1976-present"  DOI: 10.7910/DVN/IG0UN2
    "U.S. Senate 1976-present" DOI: 10.7910/DVN/PEJ5QU
    License: CC BY 4.0
    Ingested by `scripts/etl-medsl.ts` for the per-CD / per-state
    Congressional elections panels.

  Inter-university Consortium for Political and Social Research (ICPSR)
    Historical Electoral Returns archive (1876–1996)
    https://www.icpsr.umich.edu/
    License: Public domain (US academic compilation)

  Voting and Election Science Team (VEST)
    Precinct-level shapefiles and returns (2016 + 2020 cycles).
    https://dataverse.harvard.edu/dataverse/electionscience
    License: CC BY-NC 4.0 (per VEST Dataverse terms)
    Per-(state × cycle) DOIs are enumerated in
    `scripts/fetch-vest-precincts.ts` (VEST_DOI_MAP) and noted in
    the SQL header at `scripts/sql/vest.sql`.

  Voteview / Lewis, Poole, Rosenthal et al., 2024
    https://voteview.com
    DW-NOMINATE coordinates for every member of every Congress.
    License: CC BY
    Ingested by `scripts/etl-voteview.ts` for the per-CD ideology panel.

== Demographics ==

  United States Census Bureau
    American Community Survey 2024 5-year estimates (reference period 2020–2024)
    https://www.census.gov/programs-surveys/acs
    License: Public domain (US government work)

  Connecticut 2022+ planning-region restructuring noted on /about; pre-2022
  county-level historical election totals are apportioned to modern planning
  regions by 2020 town-level population (Akashic-derived crosswalk).

== Religious adherence ==

  Association of Statisticians of American Religious Bodies (ASARB)
    2020 US Religion Census: Religious Congregations & Membership Study
    https://www.usreligioncensus.org/
    Distributed via the Association of Religion Data Archives (ARDA)
    https://www.thearda.com/
    License: Free for educational, non-commercial, and research use; please
    cite ASARB when redistributing.

== Geographic boundaries ==

  United States Census Bureau
    TIGER/Line Shapefiles, 2024 vintage
    https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.html
    License: Public domain (US government work)

== County hero photography ==

  Wikimedia Commons (per-image attribution preserved on each county page)
    Licenses vary per image: CC0, CC BY, CC BY-SA, CC BY-ND, public domain.
    Each county page links to the source media file and surfaces the
    photographer credit and license code.

== Wikidata identifiers ==

  Wikidata
    QIDs and sameAs links for places
    https://www.wikidata.org/
    License: CC0 (public domain)

== Editorial copy ==

  Akashic Intelligence (original work)
    Place subheads, narrative descriptions, archetype taxonomy, FAQ answers,
    methodology pages, blog content.
    License: CC BY 4.0 (see LICENSE.txt)

== Citation ==

  When citing The Long Memory as a whole:

    The Long Memory — Political Geography Database
    Akashic Intelligence
    https://akashic.app/
    Accessed [date]

  When citing a specific place page, the recommended format is provided by
  the on-page "Cite this page" widget (BibTeX / MLA / APA / Chicago / plain).

== Contact ==

  https://akashic.app/about
  https://akashic.app/press

Last updated: 2026-05-20.