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1,821 to 1,830 of 2,011 Results
7-WhittakerPlots.R
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
R Syntax - 10.6 KB - MD5: 17b9535146aeb68537cf6fcd3d992506
Code
brd_perpoint.tab
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Tabular Data - 3.1 MB - 30 Variables, 8878 Observations - UNF:6:M6Hz0Jc/fz5/M070iXS+ZA==
Data
cutlidrMetrics_fromDisks-NEON.R
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
R Syntax - 6.5 KB - MD5: 710cbc1a7269f78059703e88e31093ce
Code
NEON-domainID-RegionName.tab
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Tabular Data - 487 B - 2 Variables, 20 Observations - UNF:6:bGfo/aFib2Q/5El/Db8O4w==
Data
NEON_Field_Site_Metadata_20201102.tab
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Tabular Data - 63.0 KB - 45 Variables, 81 Observations - UNF:6:RGFM4kqP1Qrnxgixah8BIA==
Data
NEONgamboost-b2_models.Rdata
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Gzip Archive - 17.8 MB - MD5: 25cd1a5c19fe9ae7ca3ff801c9ef55ab
Data
NEON_pointData.tab
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Tabular Data - 13.9 KB - 6 Variables, 206 Observations - UNF:6:r5u0MEGRxkWXUI9gSGa9AA==
Data
NEON-siteForestType.tab
Aug 10, 2022 - Replication Data for: "Harmonizing spatial scales and ecological theories to predict avian richness and functional diversity within forest ecosystems"
Tabular Data - 432 B - 2 Variables, 24 Observations - UNF:6:pS+JjCDtfSRfBg+YdHuYuA==
Data
ArcGIS Wave Transformation toolbox - ArcWaT
Aug 9, 2022
Cassalho, Felicio, 2021, "ArcGIS Wave Transformation toolbox - ArcWaT", https://doi.org/10.13021/orc2020/1IWPSC, George Mason University Dataverse, V3
The ArcWaT is a model-based GIS toolbox for estimating wave transformation from wave magnitude and direction model outputs.
3d7fa812ddf72fc3c0fde9a35de55b44d52ccd
Aug 4, 2022 - ArcGIS Wave Transformation toolbox - ArcWaT
Unknown - 130 B - MD5: d5a86e3f4a434abc50147eb841e3e91f
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