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Part 1: Document Description
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Citation |
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Title: |
DOC NTU Climatology Trends |
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Identification Number: |
doi:10.21979/N9/PTICO7 |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2021-03-21 |
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Version: |
3 |
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Bibliographic Citation: |
Sanwlani, Nivedita, 2021, "DOC NTU Climatology Trends", https://doi.org/10.21979/N9/PTICO7, DR-NTU (Data), V3 |
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Citation |
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Title: |
DOC NTU Climatology Trends |
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Identification Number: |
doi:10.21979/N9/PTICO7 |
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Authoring Entity: |
Sanwlani, Nivedita (Nanyang Technological University) |
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Software used in Production: |
Matlab, R, Excel |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Sanwlani, Nivedita |
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Depositor: |
Sanwlani, Nivedita |
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Date of Deposit: |
2020-07-24 |
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Holdings Information: |
https://doi.org/10.21979/N9/PTICO7 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Earth and Environmental Sciences, DOC |
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Abstract: |
Source Codes, satellite-derived output files, output stats, and associated time-series data in excel and .txt for MODIS-derived DOC Climatology and Trends analysis from 2002-2021. |
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Kind of Data: |
Matlab and R Source code |
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Kind of Data: |
Excel sheets |
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Kind of Data: |
Satellite Derived .nc files |
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Kind of Data: |
.txt Stats file |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Annual_DOC_2021.zip |
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Text: |
Monthly & Annual Climatology files |
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Notes: |
application/zip |
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Label: |
ISAM_Model.zip |
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Text: |
MODEL codes and files |
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Notes: |
application/zip |
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Label: |
MC uncertainty analysis.zip |
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Text: |
Monte Carlo Uncertainty codes and files |
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Notes: |
application/zip |
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Label: |
Time series analysis.zip |
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Text: |
Time series codes and files |
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Notes: |
application/zipped-shapefile |
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Label: |
Trends.zip |
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Text: |
Climatology and Trend Files |
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Notes: |
application/zip |