Datasets

subject: Forestry and Natural Resources type: dataset

Total is 133 Results
Structural diversity and ecosystem function

10.4231/N88M-7A62

Brady Hardiman , Elizabeth A Larue ORCID logo , Jessica Elliott , Songlin Fei ORCID logo

10/14/2019

Codes and data for published article: LaRue, EA, BS Hardiman, JM Elliott, S Fei. 2019. Structural diversity as a predictor of ecosystem function. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab49bb

Ecosystem Function Forestry and Natural Resources Invasion Biology LiDAR Macrosystems biology NEON RStudio Structural diversity

Data for: Warm temperatures increase population growth of a non-native defoliator and inhibit demographic responses by parasitoids

10.4231/P800-NM47

Andrew Liebhold , Brian Aukema , Samuel Ward ORCID logo , Songlin Fei ORCID logo

07/01/2020

Abundance of larch casebearer (larvae, adults) on western larch in Oregon and Washington (1972-1995) along with parasitism rates from two imported biological control agents.

Climate Change Forest Forestry and Natural Resources insect

Data for: Effects of terrestrial transport corridors and associated landscape context on invasion by forest plants

10.4231/FV6T-NQ34

Benjamin Taylor , Kelly-Ann Dixon Hamil , Kurt Riitters , Samuel Ward ORCID logo , Songlin Fei ORCID logo

07/01/2020

Data characterizing the number of invasive plants on Forest Inventory and Analysis (USDA Forest Service) plots across the eastern USA.

Forest Inventory Forestry and Natural Resources Invasive plants roads

Dataset: A Case Study of the Importance of Publicly-Funded Research to Coastal Regions

10.4231/PYZ7-V839

Carolyn J Foley , Mona Behl

06/26/2020

Dataset for Behl et al. (in review) in which we conduct a bibliometric analysis of 6,500+ peer-reviewed publications generated over a 15-year period by the National Oceanic and Atmospheric Administration’s (NOAA) Sea Grant program.

Bibliometrics coastal f Forestry and Natural Resources NOAA publicly-funded research Sea Grant

Agro-Climatic Data by County, 1981-2015

10.4231/R72F7KK2

Benjamin M Gramig , Seong Do Yun

08/16/2017

Agro-Climatic Data by County (ACDC) is a county level dataset that combines annual corn/soybean/cotton/wheat yield with gridded growing degree days, precipitation, and soil characteristics data from public data provided by USDA-NASS, USDA-NRCS,...

ACDC Crop yield Econometrics Forestry and Natural Resources GDD gSSURGO NIFA Precipitation PRISM Soil ph Statistical analysis U2U USDA-NASS USDA-NRCS Water holding capacity

Data for: Timing and order of exposure to two echinostome species affect patterns of infection in larval amphibians

10.4231/1YRJ-HZ02

Jason T. Hoverman ORCID logo , Logan Scott Billet ORCID logo

01/06/2021

These data correspond to a paper entitled "Timing and order of exposure to two echinostome species affect patterns of infection in larval amphibians" by Billet et al. published in the journal Parasitology in 2020:...

amphibians Echinostomatidae Forestry and Natural Resources metacercariae Priority effects

Data for: Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians

10.4231/K9C5-R785

Brian Tornabene , Jason T. Hoverman ORCID logo , Maria Sepulveda ORCID logo , Megan Gannon , Michael Chislock

01/04/2021

These data correspond to a paper entitled "Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians" by Tornabene et al.

anurans Ecological risk assessment Forestry and Natural Resources frogs LC50 PFAS salamanders toads

Distributional shifts of regional forest communities in the eastern United States

10.4231/831Y-Z846

Christopher M. Oswalt , Jonathan Knott , Michael A. Jenkins , Songlin Fei ORCID logo

12/10/2019

This dataset contains the distribution of forest communities across the eastern United States at T1 (1980-1995) and T2 (2015-2017) and the species comprising these communities.

Climate Change Forest Inventory and Analysis Forestry and Natural Resources Latent Dirichlet Allocation Regional Forest Communities Spatial Shifts Tree Migration

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