1 to 10 of 120 Results
May 21, 2025
Sanchez-Azofeifa, Gerardo Arturo; Abdaki, Mohammed, 2025, "Replication Data for: Projected Air Temperature Dynamics in a Tropical Dry Forest Under NEX-GDDP-CMIP6 Scenarios", https://doi.org/10.7910/DVN/QDYPJQ, Harvard Dataverse, V1
Tropical dry forests (TDFs) are sensitive ecosystems projected to experience significant warming due to global climate change, potentially disrupting their ecological functions. Accurate and low-uncertainty climate projections are critical for understanding monthly temperature trends in these regions. This study employs NASA’s Earth Exchange Global... |
May 21, 2025 -
Replication Data for: Projected Air Temperature Dynamics in a Tropical Dry Forest Under NEX-GDDP-CMIP6 Scenarios
RAR Archive - 3.0 MB -
MD5: d50f9b91a02cfbd78478491decffd35e
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Dec 18, 2024
Abdaki, Mohammed, 2024, "Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest", https://doi.org/10.7910/DVN/KAV5LD, Harvard Dataverse, V1, UNF:6:Hl/ZXJBL+uneGs6J6T8EoA== [fileUNF]
These datasets are part of the input and output of the ML approach used to fill longer gaps in EC time series, concerning the manuscript “A Machine learning approach for filling long gaps in Eddy 2 Covariance time series data in a Tropical Dry Forest.” These files represent the Eddy-Covariance flux time series from the Principe flux site at the San... |
Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
R Syntax - 1.0 KB -
MD5: ee57d659860efbb011457469b1b78bd4
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
R Syntax - 4.6 KB -
MD5: bc57b994d4566353384bcffc58fbf83f
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
Unknown - 5.3 KB -
MD5: 1adfbd5b50784ffc173682509f3bb5ec
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
Tabular Data - 4.7 MB - 7 Variables, 121394 Observations - UNF:6:fPjCMbse/rB1hhw6558MMA==
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
Tabular Data - 4.6 MB - 7 Variables, 121394 Observations - UNF:6:XkPxvfZdp6Par6Jzwpig/g==
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
Tabular Data - 4.5 MB - 7 Variables, 121394 Observations - UNF:6:ulKSmtdYGJRFoF5c05OMRQ==
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Dec 18, 2024 -
Replication Data for: A Machine learning approach for filling long gaps in Eddy Covariance time series data in a Tropical Dry Forest
Tabular Data - 4.8 MB - 7 Variables, 121394 Observations - UNF:6:hNelWiujS2KfmuuKVBOlkA==
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