Replication Datasets and original data from my projects.
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21 to 30 of 54 Results
Raster DEM
Dec 5, 2018 - Indonesian Watersheds Dataverse
Hamilton, Stuart, 2018, "Raster DEM", https://doi.org/10.7910/DVN/7S0AHM, Harvard Dataverse, V1
The DEM
Parallel Code
Parallel Code
Dec 5, 2018 - Indonesian Watersheds Dataverse
Hamilton, Stuart, 2018, "Parallel Code", https://doi.org/10.7910/DVN/HOHQPT, Harvard Dataverse, V1
Parallel Code As per flow charts
GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.
Jun 14, 2018 - Global Mangrove Carbon Stocks Database Dataverse
Hamilton, Stuart, 2016, "GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.", https://doi.org/10.7910/DVN/SQI3IR, Harvard Dataverse, V4
Global Mangrove Carbon, 2000 and 2012, 1 Arc-Second, 1 m Soil, low, mid, high, EQ1, EQ2, EQ3, EQ4, EQ5. These are large file and we needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no Tiffs.
GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.
Jun 14, 2018 - Global Mangrove Carbon Stocks Database Dataverse
Hamilton, Stuart, 2016, "GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.", https://doi.org/10.7910/DVN/T8CMAT, Harvard Dataverse, V2
Global Mangrove Carbon, 2000 to 2012, 1 Arc-Second, 1 m Soil, mid, EQ5. Annual stocks. Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif. We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.
Monkeys_Mangroves_Drones(East Carolina University)
Mar 7, 2018
The repository for all data for our Brazilian and Tanzanian Mangrove and Monkey Research
Replication Data for: SHORELINES. Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios.
Oct 9, 2017 - Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios Dataverse
Hamilton, Stuart, 2015, "Replication Data for: SHORELINES. Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios.", https://doi.org/10.7910/DVN/ONQ7JE, Harvard Dataverse, V2
These are the raw shorelines for the analysis.
Replication Data for: TRANSECTS. Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios.
Oct 9, 2017 - Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios Dataverse
Hamilton, Stuart, 2015, "Replication Data for: TRANSECTS. Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios.", https://doi.org/10.7910/DVN/IVSH2F, Harvard Dataverse, V2
These are the transects utilized in the analysis
Raw hourly sea-level data
Oct 6, 2017 - Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios Dataverse
Hamilton, Stuart, 2017, "Raw hourly sea-level data", https://doi.org/10.7910/DVN/BTVUO6, Harvard Dataverse, V1, UNF:6:jh8q1dq3k8iWvZObbbP6lg== [fileUNF]
The is the hourly data from the 1920 the SLR annual data was compiled from.
Replication Data for: Python Code
Oct 6, 2017 - Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios Dataverse
Hamilton, Stuart, 2017, "Replication Data for: Python Code", https://doi.org/10.7910/DVN/S6JWYO, Harvard Dataverse, V1
The Python code used.
Cleaned Tables
Oct 6, 2017 - Virginia’s Barrier Islands under Differing Sea-Level Rise Scenarios Dataverse
Hamilton, Stuart, 2017, "Cleaned Tables", https://doi.org/10.7910/DVN/D906BY, Harvard Dataverse, V1, UNF:6:XY6s1/dq7U+yuexjhQn8tg== [fileUNF]
These are the raw data converted into Excels for ease of analysis and use.
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