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Collections - Dataful
Collections
Related datasets bundled by topic, one place for a whole line of questioning.
6 of 501 collections
Collection
Electrical Accidents: Human-Animal Fatalities and Non-Fatalities
This Collection contains datasets on Year and State wise Human-Animal Fatal and Non-Fatal Electrical Accidents at Generating, Transmission, Distribution Stations, Industrial and Non-Industrial Installations of Consumers owned by Government, Semi Government, Local Bodies, Private Companies and Total Number of Individuals Affected
3 datasets
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Collection
Soil Health Data
This collection contains year-, state-, district- and village wise soil health information for each location. It includes key soil parameters such as Nitrogen, Phosphorus, Potassium, Sulphur, Organic Carbon, pH, Electrical Conductivity, Boron, Iron, Zinc, Copper, Manganese, and catchment area. A microwatershed (1:50K) is the smallest fundamental hydrological unit delineated on a 1:50,000 scale map, typically representing drainage areas of small streams or streamlets with a unique national code, while a prioritized microwatershed (1:50K) is that same basic unit evaluated and ranked (e.g., Very High, High, Medium, Low priority) based on factors like soil erosion and sediment yield index to phase conservation work. Notes: Nitrogen (kg/ha) : <280 is Low, 280 to 560 is Medium, >560 is High Phosphorous (kg/ha) : <10 is Low, 10 to 25 is Medium, >25 is High Potassium (kg/ha) : <120 is Low, 120 to 280 is Medium, >280 is High Organic Carbon (percentage) : < 0.5% is Low, 0.5 to 0.75% is Medium, > 0.75% is High Boron (ppm) : < 0.5 is Deficient, > 0.5 is Sufficient Iron (ppm) : < 4.5 is Deficient, > 5.5 is Sufficient Zinc (ppm) : < 0.6 is Deficient, > 0.6 is Sufficient Copper (ppm) : < 0.2 is Deficient, > 0.2 is Sufficient Manganese (ppm) : < 2 is Deficient, > 2 is Sufficient Sulphur (ppm) : < 10 is Deficient, > 10 is Sufficient pH Range:- Strongly acidic : ≤ 4.5 Moderately acidic : > 4.5 – 5.5 Slightly acidic : > 5.5 – 6.5 Normal : > 6.5 – 7.5 Slightly alkaline : > 7.5 – 8.5 Moderately alkaline (sodic) : > 8.5 – 9.5 Strongly alkaline (highly sodic) : > 9.5 Electrical Conductivity (dS/m):- Non saline : 0 – 1.68 Low salinity : 1.68 – 3.36 Mild salinity : 3.36 – 6.72 High salinity : 6.72 – 13.44 Severe salinity : > 13.44
33 datasets
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Collection
Bharat Heavy Electricals Limited
This collection contains information about the orders received and the turnover of the Bharat Heavy Electricals Limited
2 datasets
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Collection
Year, Month and State-wise Electric Vehicles (EV) and Hybrid Vehicles Registered in India
This Collection contains datasets on year, month, state, fuel type, vehicle maker, fuel norms, vehicle category, vehicle category group and vehicle class electric and hybrid vehicles registered in India Note: 1. Fuel Types Considered for Electric Vehicles are Diesel/Hybrid, Electric (Battery Operated Vehicle), Petrol/Hybrid, Plug-in Hybrid EV, Pure EV, Strong Hybrid EV, Fuel Cell Hydrogen are as per https://e-amrit.niti.gov.in/types-of-electric-vehicles 2. The data is sourced from the Vahan Portal and reflects the last update done by us. Data is updated/refreshed once every month. Any mismatches are due to frequent updates on the Vahan dashboard. 3. For datasets with year-wise data, the data of the previous years is as of 31 December of that year whereas the data of the current year is as of date.
52 datasets
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Collection
RTO, Vehicle Maker and Fuel Type-wise Vehicles Registered in Each State
This Collection contains datasets on year, month, place of RTO, Vehicle Maker and Fuel-type wise Vehicles Registered in all RTOs for each State. Notes: 1. Fuel Type includes Diesel, Petrol, Petrol/Ethanol, Petrol/Hybrid, Electric(Battery Operated Vehicle), Strong Hybrid EV, Diesel/Hybrid, CNG Only, Petrol/CNG, Solar, Petrol/LPG, LPG Only 2. The data is sourced from the Vahan Portal and reflects the last update done by us. Data is updated/refreshed once every month. Any mismatches are due to frequent updates on the Vahan dashboard. 3. For datasets with year-wise data, the data of the previous years is as of 31 December of that year whereas the data of the current year is as of date.
36 datasets
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