1 to 10 of 18 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... |
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... |
Jan 18, 2024
Guzmán Quesada, Jose Antonio; Hamann, Hendrik F.; Sanchez-Azofeifa, Arturo, 2022, "Replication Data for: "Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests"", https://doi.org/10.7910/DVN/A25Q8V, Harvard Dataverse, V2, UNF:6:jJSJJj3E8/BzHtJ4WeZBHg== [fileUNF]
These datasets are part of the inputs and outputs of the manuscript '’Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests." The file 'cloud-fraction_global.tif' provides a global raster of trends of low clouds from ERA5. The files 'TMCF_slope.csv' and 'TMCF_error.csv' provide the trends of Essential Climate Variables and their... |
Dec 27, 2022
Sanchez-Azofeifa, Arturo, 2022, "Replication Data for: Tropical dry forest ecological succession in Mexico: synthesis of a long term study", https://doi.org/10.7910/DVN/ZO0KGG, Harvard Dataverse, V1
Data set used in the article: Tropical dry forest ecological succession in Mexico: synthesis of a long term study in Tropical Dry forests in the Americas: Ecology, Conservation, and Management. Sanchez-Azofeifa, Powers, Fernandes, and Quesada. CRC Press. |
Jun 22, 2022
Sanchez-Azofeifa, Arturo, 2022, "Replication Data for: Calibration of Co-Located Identical PAR Sensors Using Wireless Sensor Networks and Characterization of the In Situ fPAR Variability in a Tropical Dry Forest", https://doi.org/10.7910/DVN/7QBI5U, Harvard Dataverse, V1
data replication of calibrated vs non-calibrated PAR sensors |
May 20, 2022 - Harvard Dataverse
Calvo-Rodriguez, Sofia; Sanchez-Azofeifa, Arturo; Duran, Sandra; do Espirito Santo, Mario; Ferreira-Nunes, Yule Roberta, 2022, "Replication Data for: Dynamics of Carbon Accumulation in Tropical Dry Forests under Climate Change Extremes", https://doi.org/10.7910/DVN/IXMIYL, Harvard Dataverse, V1
This data was collected as part of the Inter-American Institute for Global Change Collaborative Research Network Project: Tropi-Dry: Human and biophysical dimensions of tropical dry forests (CRN3-025). The data was used to study how much carbon is being accumulated annually by secondary tropical dry forests (TDFs) and how structure, composition, ti... |
Oct 26, 2020
Guzmán, J. A.; Sanchez-Azofeifa, Arturo, 2020, "Replication Data for: Guzmán, J.A., Sanchez-Azofeifa, G. A. (2021). Prediction of leaf traits of lianas and trees via the integration of wavelet spectra in the visible-near infrared and thermal infrared domains. Remote Sensing of Environment, 259, 112406.", https://doi.org/10.7910/DVN/YBYO7W, Harvard Dataverse, V1, UNF:6:HYfZtajpjafrTGEComcMCw== [fileUNF]
This dataverse contains three files: i) measurements of leaf traits (‘01-traits.csv’), and two files of leaf reflectance collected using a ii) UniSpec Spectral Analysis System (‘01-vis_raw-data’) and an iii) Agilent 4100 ExoScan Fourier Transform Infra-Red (FTIR) spectrometer (‘01-lwir_raw-data’). The rows on the leaf traits files match with the co... |
Jun 10, 2020
Calvo-Rodriguez, Sofia; Sanchez-Azofeifa, Arturo; Kiese, Ralf, 2020, "Seasonality and budgets of soil greenhouse gas emissions from a tropical dry forest successional gradient in Costa Rica", https://doi.org/10.7910/DVN/C9THFQ, Harvard Dataverse, V2, UNF:6:IdhuGoABlPhbFw3AApazAw== [fileUNF]
We measured soil greenhouse gas emissions from a tropical dry forest successional gradient in Costa Rica. Data contains daily fluxes of Net ecosystem exchange, precipitation and air temperature derived form an eddy co-variance flux tower, CO2 soil fluxes collected using automatic chambers, CO2, N2O and CH4 soil fluxes collected using manual chamber... |
Yuan, Xu; Laakso, Kati; Davis, Chad Daniel; Guzmán Q., J. Antonio; Meng, Qinglin; Sanchez-Azofeifa, Arturo, 2020, "Replication Data for: Monitoring the water stress of an indoor living wall system using the “triangle method”", https://doi.org/10.7910/DVN/XV2OHJ, Harvard Dataverse, V1
Living walls are important vertical greening systems with modular pre-vegetated structures. Studies have suggested that living walls have many social benefits as an ecological engineering technique with notable potential for reconciliation ecology. Despite these benefits, there are currently no mature workflows or technologies for monitoring the he... |
Apr 23, 2020
Harrison, Dominica; Guzmán, J. A.; Sánchez-Azofeifa, G.A.; Cooke, J., 2020, "Replication Data for: Leaf anatomical traits of lianas and trees at the canopy of two contrasting lowland tropical forest in a context of leaf economic spectrum.", https://doi.org/10.7910/DVN/ESLKNT, Harvard Dataverse, V1, UNF:6:WS0rZpEZH7nimJ+Mjc0Adg== [fileUNF]
Leaf anatomical metrics and traits of lianas and trees at the canopy of two contrasting forest types in Panama. |
