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Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022

The data comprise soil moisture profile measurements taken at depths of 10cm, 25cm, 50cm and 110cm close to trees in a valley in a tropical forest, Sirsi Karnataka, Western Ghats, India, between January 2020 and January 2022. The data provide a measure of tree soil water stress when analysed with related data e.g. hydraulics, photosystem II temperature resilience, photosynthesis characteristics and leaf traits. The overall purpose of the measurements was to determine the eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest fragment site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626

Simple

Date (Publication)
2023-02-09
Identifier
https://catalogue.ceh.ac.uk/id/5a20234c-08b8-48c3-80da-3def9ba44626
Identifier
doi: / 10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
Other citation details
Gloor, E., Barua, D., Galbraith, D.R., Hegde, B., Sunny, R., Tiwari, R. (2023). Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022. NERC EDS Environmental Information Data Centre 10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
Author
  University of Leeds - Gloor, E.
https://orcid.org/0000-0002-9384-6341
Author
  IISER, Pune - Barua, D.
https://orcid.org/0000-0002-8761-0084
Author
  University of Leeds - Galbraith, D.R.
https://orcid.org/0000-0002-5555-4823
Author
  Unaffiliated - Hegde, B.
Author
  St. Joseph's college, Calicut - Sunny, R.
https://orcid.org/0000-0002-8723-607X
Author
  University of Leeds - Tiwari, R.
https://orcid.org/0000-0002-2191-769X
Point of contact
  University of Leeds - Gloor, E.
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  University of Leeds
GEMET - Concepts, version 4.1.3
  • tropical forest
  • tree
  • soil moisture
Keywords
  • Tree safety margins to climate extremes
  • Tree traits
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: Gloor, E., Barua, D., Galbraith, D.R., Hegde, B., Sunny, R., Tiwari, R. (2023). Soil moisture data from tropical forests, Sirsi, Western Ghats, India, 2021-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626
Spatial representation type
textTable Text, table
Distance
100  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Environment
Begin date
2020-01-01
End date
2022-01-31
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W
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Unique resource identifier
WGS 84
Distribution format
  • Comma-separated values (CSV) ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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Supporting information

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Hierarchy level
dataset Dataset
Other
dataset

Conformance result

Date (Publication)
2010-12-08
Statement
Soil moisture was measured using Campbell CS616 Water Content Reflectometers. The sensors were installed on a gentle slope approximately 500 m distance from local valley bottom. Data are quality controlled. The dataset has time gaps caused by malfunction of instrumentation.
File identifier
5a20234c-08b8-48c3-80da-3def9ba44626 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-13T16:15:02
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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Keywords


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