Data

Template 30 Jan 2024

Commonwealth Scientific and Industrial Research Organisation
Pagendam, Dan ; Janardhanan, Sreekanth
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/skw8-yx65&rft.title=Template 30 Jan 2024&rft.identifier=https://doi.org/10.25919/skw8-yx65&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Data that was used for prediction of groundwater levels in the paper:\nhttps://doi.org/10.1016/j.spasta.2023.100740\nLineage: This data was assembled from data collected for the following research:\nhttps://doi.org/10.1016/j.gsd.2023.100964\nhttps://doi.org/10.1016/j.ejrh.2023.101500&rft.creator=Pagendam, Dan &rft.creator=Janardhanan, Sreekanth &rft.date=2024&rft.edition=v1&rft.coverage=westlimit=87.73333333333333; southlimit=23.666666666666668; eastlimit=90.16666666666667; northlimit=26.85; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) Bangladesh Water Development Board, Bangladesh Meteorological Department 2024.&rft_subject=Bangladesh&rft_subject=groundwater depth&rft_subject=prediction&rft_subject=neural network&rft_subject=Groundwater hydrology&rft_subject=Hydrology&rft_subject=EARTH SCIENCES&rft_subject=Machine learning not elsewhere classified&rft_subject=Machine learning&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Applied statistics&rft_subject=Statistics&rft_subject=MATHEMATICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Access to the data is restricted

All Rights (including copyright) Bangladesh Water Development Board, Bangladesh Meteorological Department 2024.

Access:

Open

Contact Information



Brief description

Data that was used for prediction of groundwater levels in the paper:
https://doi.org/10.1016/j.spasta.2023.100740
Lineage: This data was assembled from data collected for the following research:
https://doi.org/10.1016/j.gsd.2023.100964
https://doi.org/10.1016/j.ejrh.2023.101500

Available: 2024-01-30

Data time period: 1985-01-01 to 2015-01-01

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

90.16667,26.85 90.16667,23.66667 87.73333,23.66667 87.73333,26.85 90.16667,26.85

88.95,25.258333333333

Subjects
Applied Statistics | Bangladesh | Earth Sciences | Groundwater Hydrology | Hydrology | Information and Computing Sciences | Mathematical Sciences | Machine Learning | Machine Learning Not Elsewhere Classified | Statistics | groundwater depth | neural network | prediction |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers