George Mason University Dataverse

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1,811 to 1,820 of 2,011 Results

ReadMe.txt Jan 5, 2023 - Forest structure predicts species richness and functional diversity in Amazonian mixed-species bird flocks Plain Text - 11.2 KB - MD5: 31f749b631726d1a283357beb5fac63e
Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic Aug 22, 2022 Weinstein, Ali A, 2022, "Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic", https://doi.org/10.13021/orc2020/GFT7FQ, George Mason University Dataverse, V1, UNF:6:h6WNUjYjYF9796rphKhg0g== [fileUNF] Open data for publication: Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic
PLOSONE.tab Aug 22, 2022 - Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic Tabular Data - 13.3 KB - 50 Variables, 84 Observations - UNF:6:h6WNUjYjYF9796rphKhg0g== Data file
README.odt Aug 22, 2022 - Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic application/vnd.oasis.opendocument.text - 4.9 KB - MD5: edda7eb4440904c23e1d440c34d68271 Description of data set variables.
1-DataDownload.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 - 2.3 KB - MD5: 3a60c64b829471cc0bf9021c038db175 Code
2-StructureDataFromLidar.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 - 817 B - MD5: 52ebe998d7ae24dcb821772ab4e56581 Code
3-FunctionaDiversityEstimates.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 - 5.6 KB - MD5: 142f0b0f5ae71b1507b1a816f9d6c18c Code
4-DiagnosticPlots.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 - 2.9 KB - MD5: 39bdf112e6065a10e2d6c16fb4993e96 Code
5-mBoostModels.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 - 3.9 KB - MD5: 6126d9ecc843b8bac09717eefe6ddcb2 Code
6-PredictivePlots.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 - 17.2 KB - MD5: c53d166199fadf305564c9529930752e Code

ReadMe.txt

Jan 5, 2023 - Forest structure predicts species richness and functional diversity in Amazonian mixed-species bird flocks

Plain Text - 11.2 KB -

Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic

Aug 22, 2022

Weinstein, Ali A, 2022, "Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic", https://doi.org/10.13021/orc2020/GFT7FQ, George Mason University Dataverse, V1, UNF:6:h6WNUjYjYF9796rphKhg0g== [fileUNF]

Open data for publication: Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic

PLOSONE.tab

Aug 22, 2022 - Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic

Tabular Data - 13.3 KB - 50 Variables, 84 Observations -

Data file

README.odt

Aug 22, 2022 - Second victim experiences and moral injury as predictors of hospitalist burnout before and during the COVID-19 pandemic

application/vnd.oasis.opendocument.text - 4.9 KB -

Description of data set variables.

1-DataDownload.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 - 2.3 KB -