Public safety & casesPrepared dataset
Structured metro accident case dataset
Scattered metro accident and incident cases organized into a structured table with consistent fields, including a searchable main case table and an analysis table aggregated by dimension. Ready to load for accident retrieval, risk attribution and pattern analysis.
Includes 2 delivery tables: a main case table (151×35, searchable and attributable) and an analysis summary table (88×7, aggregated across 5 dimensions — year / type / city / construction method / grade).
View fields and details
Representative fields
| Field | Definition / meaning | Example |
|---|
| Accident type | Accident / incident classification | Collapse |
| Accident grade | Severity grade of the accident | Major accident |
| Fatalities / injuries | Casualties in the case | 3 / 5 |
| Direct economic loss | Direct loss amount | About 12 million RMB |
| Construction method | Construction method involved | Shield tunneling |
| Liability determination | Conclusion on liability | Contractor primarily liable |
Examples are anonymized illustrations, not real records; the full 35-column field dictionary and anonymized samples are provided with a quote.
Use cases
Metro and rail-transit safety research, building an accident case library, risk attribution and case retrieval.
Source index & collectionPrepared dataset
Tree-heritage weather-disaster source link set
A list of web links, topic-checked and all verified accessible, with domain distribution and audit fields. Ready to use as a source index for text collection, event expansion and knowledge extraction.
Two deliveries: a minimal link set (ID + link, 2 columns) and an audit-enriched set (16 columns, about 816 domestic / 184 overseas, all verified accessible).
View fields and details
Representative fields (audit-enriched version)
| Field | Definition / meaning | Example |
|---|
| Final redirect URL | The URL the link lands on | https://… |
| Domain | Domain of the source site | Government / media / university |
| Domestic/overseas flag | Source region | Domestic |
| Topic tier | Topic relevance tier | Tier-1 relevant |
| Relevance score | Topic relevance | 0.92 |
| HTTP status code | Accessibility | 200 |
Examples are anonymized illustrations, not real records; the full 16-column field dictionary and anonymized samples are provided with a quote.
Use cases
A source index for text-corpus collection, event-library expansion and knowledge extraction, as well as strict source filtering and secondary extraction.
Agriculture & yield predictionPrepared dataset
Gansu crop yield · weather · disaster panel dataset
Yield, weather and disaster for four crops in Gansu Province, organized into an annual panel on a common basis, in long-table and wide-table shapes. Suited to time-series modeling, regression analysis and thesis appendices.
Two shapes: a long table (184×16, 4 crops × 46 years, modeling-friendly) and a wide table (46×24, one row per year, convenient for regression and thesis appendices). Covers winter wheat, spring wheat, maize and rapeseed.
View fields and details
Representative fields
| Field | Definition / meaning | Example |
|---|
| Crop | One of the four crops | Winter wheat |
| Sown area | Area sown that year | 825,000 mu |
| Total output / yield per unit | Output that year and output per unit area | 3.1 million t / 376 kg per mu |
| Annual mean temperature | Mean temperature that year | 9.8 ℃ |
| Annual cumulative precipitation | Precipitation that year | 320 mm |
| Total affected area | Disaster-affected area that year (by disaster type) | 450,000 mu |
Examples are anonymized illustrations, not real records; the full field dictionary (including drought / wind-hail / flood / frost by disaster type) and anonymized samples are provided with a quote.
Use cases
Yield time-series modeling, weather–yield relationship research, disaster-impact analysis, regression modeling and thesis appendices.
Price & traceabilityPrepared dataset
Vegetable supply-chain price and traceability dataset
Whole-chain price, cost and traceability information from origin to retail, organized by vegetable category, data stage and date. Ready to use for price prediction, supply-and-demand analysis and anomaly monitoring.
Covers 8 data stages × 8 vegetable categories; provided from a common source in 4 delivery shapes: a filtered base table (2000×25), a full enriched table (10000×52), a main sample table (2000×52) and a modeling feature table (2000×45, one-hot encoded).
View fields and details
Representative fields
| Field | Definition / meaning | Example |
|---|
| Vegetable category | One of 8 categories | Cucumber |
| Data stage | One of 8 stages — growing / pesticide / logistics / sales, etc. | Logistics & transport |
| Unit price | Unit selling price at that stage | 4.20 RMB |
| Origin wholesale price | Origin wholesale price anchor | 2.15 RMB |
| Market demand index | Demand-strength score | 98.7 |
| Data quality score | Composite multi-dimension quality score | 4.6 / 5 |
Examples are anonymized illustrations, not real records; the full 52-column field dictionary and anonymized samples are provided with a quote.
Use cases
Vegetable price prediction and trend research, supply-and-demand and traceability analysis, anomaly monitoring, and training price-type models.
Weather & citiesPrepared dataset
20-city 2022 daily weather dataset
Daily weather data for 20 major Chinese cities across all of 2022, including temperature, humidity, wind speed and wind direction, with an accompanying city-level annual mean table. Ready to use for city climate comparison and time-series analysis.
Two deliveries: a daily table (7300×10, 20 cities × 365 days) and an annual mean table (20×5, one row per city). Covers Beijing, Shanghai, Guangzhou, Chongqing, Urumqi and 15 other cities.
View fields and details
Representative fields
| Field | Definition / meaning | Example |
|---|
| City | City name (Chinese / English) | 北京 / Beijing |
| Date | Observation date | 2022-07-12 |
| Daily mean temperature | Daily mean temperature, ℃ | 28.6 |
| Relative humidity | Daily mean humidity, % | 64 |
| Wind speed | Daily mean wind speed, km/h | 12.3 |
| Prevailing wind direction | Main wind direction that day, ° | 135 |
Examples are anonymized illustrations, not real records; the full field dictionary and anonymized samples are provided with a quote.
Use cases
Cross-city climate comparison, weather time-series analysis, linkage research with external data such as yield or energy, and thesis and report appendices.
