Data Access: LCA - Future Annual Crop-Fallow Transition, Spring Wheat, RCP4.5 out to 2070
REACCH
- Data: REACCHPNA LCA - Future Annual Crop-Fallow Transition, Spring Wheat, RCP4.5 out to 2070
Datasets
1180 results
Metadata Access: LCA - Future Annual Crop-Fallow Transition, Spring Wheat, RCP4.5 out to 2070
REACCH
- Data: REACCHPNA LCA - Future Annual Crop-Fallow Transition, Spring Wheat, RCP4.5 out to 2070
Data: REACCHPNA Biotics - REACCH Bromus tectorum phenotypic data - Central Ferry 2014
REACCH
Bromus tectorum (downy brome) is the mode wide spread weed species within the PNW small grain production region. Downy brome is a winter annual weed, requiring vernalization to reproduce. Climate change in the PNW is projected to lead to milder...
Data Access: Biotics - REACCH Bromus tectorum phenotypic data - Central Ferry 2014
REACCH
- Data: REACCHPNA Biotics - REACCH Bromus tectorum phenotypic data - Central Ferry 2014
Metadata Access: Biotics - REACCH Bromus tectorum phenotypic data - Central Ferry 2014
REACCH
- Data: REACCHPNA Biotics - REACCH Bromus tectorum phenotypic data - Central Ferry 2014
Russelletal2021_Data_Code
University of Idaho
- Data from: Important airborne lidar metrics of canopy structure for estimating snow interception
Data from: Important airborne lidar metrics of canopy structure for estimating snow interception
University of Idaho
Forest canopies exert significant controls over the spatial distribution of snow cover. Canopy snow interception efficiency is controlled by intrinsic processes (e.g., canopy structure), extrinsic processes (e.g. meteorological conditions), and...
[Dataset does not exist anymore]-Data from: Near-infrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub
The dataset with the identifier *https://doi.org/10.7923/e0ca-6g41* was substituted by another version [1] with the following citation: Robb, B., Olsoy, P., Mitchell, J., Caughlin, T. T., Delparte, D., Galla, S., Fremgen-Tarantino, M. R., Nobler...
Becker_Keefe_2022_Data_Code
University of Idaho
- Activity Recognition Model: Sensor (AS), GNSS, Time and Motion Study (TM), and Individual Tree Data
Activity Recognition Model: Sensor (AS), GNSS, Time and Motion Study (TM), and Individual Tree Data
University of Idaho
The provided data are the raw sensor data gathered from the Google Pixel smartphones used during the field sampling for the development of the activity recognition models. Additionally, corresponding GNSS locations and observed cycle elements...