Datasets:
id int64 1 48 | slug stringlengths 3 17 | name stringlengths 3 17 | plural_name stringlengths 4 22 | parent_category float64 | description stringlengths 44 123 | url stringlengths 38 52 |
|---|---|---|---|---|---|---|
10 | allium | Allium | Alliums | null | Onions, garlic, leeks, shallots, and chives. | https://plants.windrivergreens.com/allium |
5 | bean | Bean | Beans & Legumes | null | Bush beans, pole beans, lentils, and more. Easy-to-grow protein for every garden. | https://plants.windrivergreens.com/bean |
12 | berry | Berry | Berries & Fruits | null | Strawberries, blueberries, raspberries, and small fruits for the home garden. | https://plants.windrivergreens.com/berry |
8 | brassica | Brassica | Brassicas | null | Broccoli, cabbage, cauliflower, kale, Brussels sprouts, and kohlrabi. | https://plants.windrivergreens.com/brassica |
11 | corn | Corn | Corn | null | Sweet corn, popcorn, flour corn, and ornamental varieties. | https://plants.windrivergreens.com/corn |
16 | cucumber | Cucumber | Cucumbers | null | Slicing, pickling, and specialty cucumbers for every garden size. | https://plants.windrivergreens.com/cucumber |
15 | eggplant | Eggplant | Eggplants | null | Globe, Japanese, Thai, and specialty eggplant varieties. | https://plants.windrivergreens.com/eggplant |
18 | flower | Flower | Flowers | null | Annual, perennial, and cut flowers to beautify your garden year-round. | https://plants.windrivergreens.com/flower |
17 | fruit-tree | Fruit Tree | Fruit Trees | null | Apple, pear, cherry, peach, and citrus trees for the home orchard. | https://plants.windrivergreens.com/fruit-tree |
41 | grass | Grass | Grasses & Bamboo | null | Ornamental grasses, lawn grasses, and bamboo varieties for structure and movement. | https://plants.windrivergreens.com/grass |
42 | ground-cover | Ground Cover | Ground Covers | null | Low-growing plants that spread to cover soil, reduce weeds, and prevent erosion. | https://plants.windrivergreens.com/ground-cover |
4 | herb | Herb | Herbs | null | Culinary and medicinal herbs. Growing guides from basil to thyme. | https://plants.windrivergreens.com/herb |
45 | houseplant | Houseplant | Houseplants | null | Indoor plants for every light condition. Pothos, philodendrons, ferns, and more. | https://plants.windrivergreens.com/houseplant |
3 | lettuce | Lettuce | Lettuce & Salad Greens | null | Romaine, butterhead, looseleaf, and specialty salad greens for every season. | https://plants.windrivergreens.com/lettuce |
14 | melon | Melon | Melons | null | Watermelon, cantaloupe, honeydew, and specialty melons. | https://plants.windrivergreens.com/melon |
9 | microgreen | Microgreen | Microgreens | null | Nutrient-dense seedlings harvested in 7-14 days. The fastest crop you can grow. | https://plants.windrivergreens.com/microgreen |
46 | native-wildflower | Native Wildflower | Native Wildflowers | null | Region-native wildflowers that support pollinators and require minimal maintenance. | https://plants.windrivergreens.com/native-wildflower |
48 | nut-tree | Nut Tree | Nut Trees | null | Pecan, walnut, almond, hazelnut, and chestnut trees for home orchards. | https://plants.windrivergreens.com/nut-tree |
38 | ornamental-tree | Ornamental Tree | Ornamental Trees | null | Flowering and decorative trees for landscaping. Dogwoods, magnolias, Japanese maples, and more. | https://plants.windrivergreens.com/ornamental-tree |
13 | pea | Pea | Peas | null | Snap peas, snow peas, shelling peas, and pea shoots. | https://plants.windrivergreens.com/pea |
2 | pepper | Pepper | Peppers | null | Hot peppers, sweet peppers, and everything in between. Find your perfect heat level. | https://plants.windrivergreens.com/pepper |
7 | root-vegetable | Root Vegetable | Root Vegetables | null | Carrots, beets, turnips, radishes, and other underground crops. | https://plants.windrivergreens.com/root-vegetable |
40 | rose | Rose | Roses | null | Hybrid teas, floribundas, climbers, shrub roses, and old garden varieties. | https://plants.windrivergreens.com/rose |
39 | shade-tree | Shade Tree | Shade Trees | null | Large canopy trees for shade, privacy, and property value. Oaks, maples, elms, and more. | https://plants.windrivergreens.com/shade-tree |
47 | shrub | Shrub | Shrubs & Hedges | null | Flowering and evergreen shrubs for borders, hedges, and foundation plantings. | https://plants.windrivergreens.com/shrub |
6 | squash | Squash | Squash & Cucumbers | null | Summer squash, winter squash, zucchini, and cucumbers. | https://plants.windrivergreens.com/squash |
37 | succulent | Succulent | Succulents & Cacti | null | Drought-tolerant succulents and cacti for indoor and outdoor gardens. Low-maintenance plants that thrive in dry conditions. | https://plants.windrivergreens.com/succulent |
1 | tomato | Tomato | Tomatoes | null | From heirloom beefsteaks to cherry varieties. Growing guides for every tomato type. | https://plants.windrivergreens.com/tomato |
43 | tropical | Tropical | Tropical Plants | null | Exotic tropical plants including palms, gingers, hibiscus, and bird of paradise. | https://plants.windrivergreens.com/tropical |
44 | vine | Vine | Vines & Climbers | null | Climbing plants for trellises, arbors, and walls. Clematis, wisteria, jasmine, and more. | https://plants.windrivergreens.com/vine |
Plant Variety Database
An open dataset that joins cultivar-level seed-catalog data with USDA hardiness zones and per-zone monthly planting calendars — 1,972 varieties × 13 zones × 12 months, fully sourced, CC BY 4.0.
The hero rows aren't the 1,972 varieties (USDA PLANTS already has ~98K species). They're the joins:
- 20,728 variety × zone planting-calendar entries (indoor sow / transplant / direct sow / harvest windows)
- 21,880 companion-plant pairings with relationship and reason
- 2,327 outbound citations to extension factsheets, breeder pages, and USDA records (92% of varieties carry at least one)
- 1,036 USDA FoodData Central nutrition records joined to growable varieties
The full interactive version — variety pages, planting calendars per zone, companion-plant prose, troubleshooting guides, and per-county zone maps for all 50 US states + 13 Canadian provinces — lives at plants.windrivergreens.com.
Why this dataset exists
USDA PLANTS gives you species-level taxonomy but no cultivars and no planting calendars. Johnny's Selected Seeds catalog gives you cultivar-level days-to-maturity but no zone-by-zone schedule and no nutrition. NC State Extension gives you growing prose but no structured cultivar database. Hardiness zone shapefiles give you a map but no variety information.
This dataset is the join. 1,972 hand-cleaned variety rows, each linked to a planting calendar for every USDA zone it grows in, with companion plants, common pests and diseases, and (where applicable) USDA nutrition data per 100g — all in flat CSVs with verifiable source citations.
Files
| File | Rows | What it is |
|---|---|---|
varieties.csv |
1,972 | One row per cultivar — name, scientific name, days to harvest, plant size, sun/water/soil needs, USDA zones, pest/disease info |
categories.csv |
30 | Plant category index (tomato, herb, rose, succulent, etc.) |
zones.csv |
13 | USDA hardiness zones 1-13 with temperature ranges, frost dates, growing-season length |
planting_calendar.csv |
20,728 | Variety × zone — when to start indoors, transplant, direct-sow, harvest |
companion_plants.csv |
21,880 | Beneficial and harmful plant pairings with reasons |
nutrition.csv |
1,036 | Per-100g nutrition (calories, macros, vitamins, minerals) from USDA FoodData Central |
sources.csv |
2,327 | Outbound citations per variety |
All files are UTF-8 CSV with a header row. Foreign keys: every variety_*.csv row joins back to varieties.csv via variety_id or variety_slug.
Quick start
from datasets import load_dataset
# Load any single config:
varieties = load_dataset("bripatch/plant-variety-database", "varieties", split="train")
calendar = load_dataset("bripatch/plant-variety-database", "planting_calendar", split="train")
# Tomatoes that mature in under 80 days and grow in zone 7:
import pandas as pd
df = varieties.to_pandas()
tomatoes_z7 = df[
(df.category == "tomato")
& (df.usda_zone_min <= 7)
& (df.usda_zone_max >= 7)
& (df.days_to_harvest.str.extract(r"(\d+)")[0].astype(float) < 80)
]
Use cases
- Climate-zone migration modeling — pair
usda_zone_min/usda_zone_maxwith future-zone projections (e.g. USDA PHZM) to see which cultivars become viable / unviable in a given county over time. - Agricultural ML training — clean, labeled cultivar data with consistent feature schema for taxonomy, growability, and nutrition classification tasks.
- Garden-app / smart-home / IoT data — drop-in zone-aware planting calendar without re-licensing per-source data per platform.
- Nutrition × growability joins —
nutrition.csv+varieties.csvlets you ask "which high-vitamin-K leafy greens grow in zone 4?" in one query. - Companion-planting network analysis —
companion_plants.csvis a 21,880-edge graph with relationship labels.
Field reference (varieties.csv)
| Column | Type | Notes |
|---|---|---|
id |
int | Primary key |
category |
str | Lowercase slug — joins to categories.slug |
name |
str | Display name including cultivar |
slug |
str | URL slug — joins to *.variety_slug |
scientific_name |
str | Genus + species (+ cultivar epithet) |
days_to_harvest |
str | Range or value — e.g. 60-80, 70, or null. Parse with regex when filtering numerically. |
days_to_germination |
str | Same shape as days_to_harvest |
plant_height, plant_spacing |
str | Free-form imperial — e.g. 4-6 ft, 18-24 in |
sun_requirement |
str | full_sun, partial_sun, partial_shade, full_shade |
water_requirement |
str | low, medium, high |
soil_ph |
str | Range — e.g. 6.0-7.0 |
growing_difficulty |
str | beginner, intermediate, advanced |
growing_season |
str | cool, warm, year_round |
usda_zone_min, usda_zone_max |
int | Hardy zone range, 1-13 |
is_heirloom, is_hybrid, is_container_friendly |
bool | |
disease_resistance, common_pests, common_diseases |
str | Semicolon-separated lists |
source_database |
str | Comma-separated — nc_state, johnnys, usda_plants |
url |
str | Permalink to the live variety page |
Sources & verification
Every variety in this dataset is backed by at least one real data source — no AI-generated plant facts:
| Source | Varieties | Contributes |
|---|---|---|
| NC State Extension | 1,794 (91%) | Zones, height, light, growth rate, growing guides |
| Johnny's Selected Seeds | 939 (48%) | Cultivar-level days to maturity, spacing, disease resistance |
| USDA PLANTS Database | 506 (26%) | Species-level characteristics |
| USDA FoodData Central | 1,036 | Nutrition per 100g |
92% of varieties (1,822 of 1,972) carry at least one verifiable outbound citation in sources.csv.
Updates
Auto-refreshed monthly from the live production database via GitHub Actions (1st of each month, 08:00 UTC). The canonical source is the GitHub repo: github.com/bripatch/plant-variety-database. This Hugging Face mirror is re-synced on the same cadence.
For reproducible research, pin to a specific tagged release on GitHub — those are immutable. The main revision on Hugging Face tracks the latest export and will change over time.
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Free to share, adapt, and build on for any purpose — including commercial — as long as you credit Wind River Greens with a link back to plants.windrivergreens.com.
Citation
@misc{windrivergreens_plantdb_2026,
author = {{Wind River Greens}},
title = {Plant Variety Database: A cultivar-level dataset with USDA hardiness zones and per-zone planting calendars},
year = {2026},
version = {1.0.0},
url = {https://github.com/bripatch/plant-variety-database},
howpublished = {GitHub repository, Hugging Face mirror},
note = {CC BY 4.0. Live tool: \url{https://plants.windrivergreens.com}}
}
Issues, corrections, contributions
Spot a wrong zone, a misclassified variety, or a missing companion-planting relationship? Open an issue on the GitHub repo — corrections flow back into the live site and propagate here on the next monthly refresh.
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