Dicionario de datos

ID
id
Tipo
int4
Etiqueta
index

ID
station_name
Tipo
text
Etiqueta
Station Name

ID
station_code
Tipo
text
Etiqueta
Station Code

ID
station_type
Tipo
text
Etiqueta
Station Type

ID
station_status
Tipo
text
Etiqueta
Station Status

ID
data_acquisition_mode
Tipo
text
Etiqueta
Data Acquisition Type

ID
agency_name
Tipo
text
Etiqueta
Agency Name

ID
agency_id
Tipo
text
Etiqueta
Agency Id

ID
well_type
Tipo
text
Etiqueta
Well Type

ID
well_aquifer_type
Tipo
text
Etiqueta
Well Aquifer Type

ID
latitude
Tipo
numeric
Etiqueta
Latitude

ID
longitude
Tipo
numeric
Etiqueta
Longitude

ID
date_of_establishment
Tipo
date
Etiqueta
Date of Establishment

ID
data_available_from
Tipo
date
Etiqueta
Data Available From

ID
discharge_data_available
Tipo
text
Etiqueta
Availability of Discharge Data

ID
discharge
Tipo
numeric
Etiqueta
Discharge Volume

ID
well_depth
Tipo
numeric
Etiqueta
Depth of Well

ID
date
Tipo
date
Etiqueta
Data Date

ID
time
Tipo
text
Etiqueta
Time of Data taken

ID
data_type_code
Tipo
text
Etiqueta
Data Type Code

ID
data_type_description
Tipo
text
Etiqueta
Data Type Description

ID
data_value
Tipo
numeric
Etiqueta
Data Value

Información adicional

Campo Valor
Última actualización de datos 3 de xuño de 2025
Última actualización de metadatos 13 de xuño de 2025
Creado 3 de xuño de 2025
Formato CSV
Licenza Non se fornece ningunha licenza
Additional infonan
Data extraction pagehttps://indiawris.gov.in/wris/#/timeseriesdata
Data insightsThis dataset enables detailed spatial and temporal analysis of groundwater trends across India. It supports evaluation of aquifer health, assessment of seasonal and regional water availability, and identification of over-extraction zones. Policymakers can use the insights to develop targeted groundwater conservation measures and improve the management of water resources in vulnerable districts. Researchers may also correlate groundwater data with agricultural or climatic variables to explore broader environmental impacts.
Data last updated19-05-2025
Data retreival date19-05-2025
Datastore activeTrue
District no0
FrequencyOther
Gp no0
GranularityPoint
Has viewsTrue
Id06d6e79c-61ac-46bb-9e03-c7138911c619
Idp readyTrue
Lgd mappingna
MethodologyThe data is sourced from the India Water Resources Information System (India-WRIS) and comprises manually collected groundwater readings from various monitoring stations. These readings include discharge volumes, water levels, and well characteristics. Data collection follows field-based manual techniques coordinated by different water resource agencies, with each record tagged with metadata such as acquisition method, agency, and time of observation.
No indicators3
Package ide068e959-4d85-4287-809d-772bf2b2d83c
Position0
Size478,9 MiB
Skumojs-gwl_manual-ol-pl-abc
Stateactive
States uts no0
Tehsil no0
Url typeupload
Years covered1976-2025
Methodology The data is sourced from the India Water Resources Information System (India-WRIS) and comprises manually collected groundwater readings from various monitoring stations. These readings include discharge volumes, water levels, and well characteristics. Data collection follows field-based manual techniques coordinated by different water resource agencies, with each record tagged with metadata such as acquisition method, agency, and time of observation.
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_manual-ol-pl-abc
Dataset Frequency Other
Years Covered 1976-2025
No of States/UT(s) 0
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Información adicional nan
Number of Indicators 3
Insights from the dataset This dataset enables detailed spatial and temporal analysis of groundwater trends across India. It supports evaluation of aquifer health, assessment of seasonal and regional water availability, and identification of over-extraction zones. Policymakers can use the insights to develop targeted groundwater conservation measures and improve the management of water resources in vulnerable districts. Researchers may also correlate groundwater data with agricultural or climatic variables to explore broader environmental impacts.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %