Data Dictionary

ID
id
Type
int4
Label
index

ID
station_name
Type
text
Label
Station Name

ID
station_code
Type
text
Label
Station Code

ID
station_type
Type
text
Label
Station Type

ID
station_status
Type
text
Label
Station Status

ID
data_acquisition_mode
Type
text
Label
Data Acquisition Type

ID
agency_name
Type
text
Label
Agency Name

ID
agency_id
Type
text
Label
Agency Id

ID
well_type
Type
text
Label
Well Type

ID
well_aquifer_type
Type
text
Label
Well Aquifer Type

ID
latitude
Type
numeric
Label
Latitude

ID
longitude
Type
numeric
Label
Longitude

ID
date_of_establishment
Type
date
Label
Date of Establishment

ID
data_available_from
Type
date
Label
Data Available From

ID
discharge_data_available
Type
text
Label
Availability of Discharge Data

ID
discharge
Type
numeric
Label
Discharge Volume

ID
well_depth
Type
numeric
Label
Depth of Well

ID
date
Type
date
Label
Data Date

ID
time
Type
text
Label
Time of Data taken

ID
data_type_code
Type
text
Label
Data Type Code

ID
data_type_description
Type
text
Label
Data Type Description

ID
data_value
Type
numeric
Label
Data Value

Additional Information

Field Value
Data last updated June 17, 2025
Metadata last updated June 17, 2025
Created June 13, 2025
Format CSV
License No License Provided
Additional infonan
Data extraction pagehttps://indiawris.gov.in/wris/#/timeseriesdata
Data insightsTelemetric groundwater data enable timely and high-resolution insights into water table fluctuations, recharge-discharge dynamics, and aquifer health. Researchers can utilize this dataset to detect early signs of groundwater stress, evaluate the effectiveness of water conservation policies, or model hydrological patterns over time. For policymakers, the dataset supports real-time decision-making, especially in areas experiencing groundwater depletion or agricultural water demand.
Data last updated19-05-2025
Data retreival date19-05-2025
Datastore activeTrue
District no0
FrequencyDaily
Gp no0
GranularityPoint
Has viewsTrue
Idf78f7b15-f325-4c39-a291-f44ad4e95334
Idp readyFalse
MethodologyThe data originates from the India Water Resources Information System (India-WRIS) and includes groundwater readings collected via both manual field techniques and automated telemetric sensors. Manual data is gathered periodically by trained personnel, while telemetric stations use real-time sensors to capture and transmit water level and discharge data. Each record is supplemented with metadata such as acquisition method, station details, and timestamp, enabling comprehensive and reliable groundwater monitoring.
Mimetypetext/csv
No indicators3
Package ide068e959-4d85-4287-809d-772bf2b2d83c
Position1
Size1.4 GiB
Skumojs-gwl_telemetric-dl-pl-abc
Stateactive
States uts no0
Tags['Groundwater Monitoring', 'Water Resources', 'Hydrology', 'Environmental Data', 'Manual Data Collection', 'Aquifer Management', 'India-WRIS', 'Station Metadata', 'Water Depth', 'Discharge Volume']
Tehsil no0
Url typeupload
Village no0
Years covered1987-2025
Methodology The data originates from the India Water Resources Information System (India-WRIS) and includes groundwater readings collected via both manual field techniques and automated telemetric sensors. Manual data is gathered periodically by trained personnel, while telemetric stations use real-time sensors to capture and transmit water level and discharge data. Each record is supplemented with metadata such as acquisition method, station details, and timestamp, enabling comprehensive and reliable groundwater monitoring.
Indicators
Similar Resources
Granularity Level Point
Data Extraction Page https://indiawris.gov.in/wris/#/timeseriesdata
Data Retreival Date 19-05-2025
Data Last Updated 19-05-2025
Sku mojs-gwl_telemetric-dl-pl-abc
Dataset Frequency Daily
Years Covered 1987-2025
No of States/UT(s) 0
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Additional Information nan
Number of Indicators 3
Insights from the dataset Telemetric groundwater data enable timely and high-resolution insights into water table fluctuations, recharge-discharge dynamics, and aquifer health. Researchers can utilize this dataset to detect early signs of groundwater stress, evaluate the effectiveness of water conservation policies, or model hydrological patterns over time. For policymakers, the dataset supports real-time decision-making, especially in areas experiencing groundwater depletion or agricultural water demand.
IDP Ready No
LGD Mapping
Mapping Status %