Busabase
Busabase는 AI 에이전트를 위한 오픈소스(MIT) 데이터베이스 및 작업 공간입니다
문헌에서 수집한 종 및 트리코테신 유전형별 Fusarium graminearum 복합군 균주 지리정보 데이터베이스
Georeferenced database of Fusarium graminearum species complex isolates identified to species and trichothecene genotype, compiled from the literature.
데이터HTML · RGitHub @emdelponte온라인운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
Global Fusarium graminearum species complex database
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Georeferenced database of Fusarium graminearum species complex (FGSC) isolates identified to species and
trichothecene genotype, compiled from the literature. The website is static (no server, no database) and is
served by Netlify from the docs/ folder at https://fgsc.netlify.app.
Del Ponte et al. 2022. Phytopathology 112:741–751. https://doi.org/10.1094/PHYTO-06-21-0277-RVW
| Path | What it holds |
|---|---|
docs/ | The published site: index.html and data/ (built files, do not edit by hand) |
site-src/page.html | Source of the web page (map, charts, table, sources) |
data/ | Curated tables exported from the master Google Sheet: isolates, articles, counts, changelog, flags |
vocab/ | Controlled vocabularies and the gazetteer used to geocode localities |
scripts/ | R pipeline (see below) |
raw/ | The 2021 Google Sheet used by the old Shiny app, kept for provenance |
legacy-distill/ | Sources of the previous distill site |
Master Google Sheet (FGSCdb_clean) scripts/00_fetch_sheet.R -> data/*.csv, vocab/*.csv
tabs: isolates, articles, counts, vocab scripts/03_validate.R -> stops on invalid values
scripts/02_site_data.R -> docs/index.html, docs/data/
coord_precision records how the coordinate was
obtained: reported, locality (from same-location records), municipality (geocoded), county centroid,
country centroid.article_id, reference, doi, data_level = isolate | aggregate | both).n_isolates); use not crossed when a source gives species and genotype counts separately.
A source must not appear in both isolates and counts.scripts/01_clean.R is the one-time 2026 cleanup of the 2021 sheet (raw/). It needs Natural Earth country
boundaries and US county shapes in geo/ (not versioned). Every change it made is in data/changelog.csv, and
records to review are in data/flags.csv.
Locally, after the data CSVs are up to date:
source("scripts/03_validate.R"); source("scripts/02_site_data.R")
Open docs/index.html directly or serve docs/ with any static server.
On GitHub: Actions > "Build FGSCdb" > Run workflow. It downloads the master sheet, validates, rebuilds docs/
and commits; Netlify then redeploys. The sheet must be shared as "Anyone with the link can view".
Publish directory: docs. No build command.