Data Science Team — Entidade

datascience.cct.arizona.edu·há 7 meses

Estimating Trends in Phenology

Natural resource managers in the Northeastern US would like ready access to maps that indicate when, on average, various growing degree day (GDD) thresholds are met. These GDD thresholds can indicate

datascience.cct.arizona.edu·há 7 meses

RainManSR Open Data Makeover

Large collaborative research teams have strong intentions of utilizing best practices in data management and reproducibility, but often lack the collective skills to implement such practices, especial

datascience.cct.arizona.edu·há 7 meses

SENTINEL Phytosensors

The purpose of the Sentinel project is to design plants to sense and detect biological compounds. The SENTINEL: SENsing Threats In Natural Environments using Ligand-receptor modules program aims to d

datascience.cct.arizona.edu·há 7 meses

Drone Processing Pipeline

The objective of the drone processing pipeline is to provide: The drone pipeline effort is derived from the TERRA REF project (Burnette et al 2018) that has been refactored to facilitate the analysis

datascience.cct.arizona.edu·há 7 meses

AZMet QA/QC Dashboard

The Arizona Metrological Network (AZMet) provides meteorological data from a network of weather stations throughout Arizona. In addition to some simple range checks that were already in place, Jeremy

datascience.cct.arizona.edu

AFS Standard Fish App

Standardization of sampling methods allows fisheries professionals to compare data across large spatial and temporal scales, encourages data sharing and improves communication. In light of these benef

datascience.cct.arizona.edu

Statistical Analysis of Rangeland Restoration Experiments

A recent wildfire that burned a rangeland restoration experiment offered the opportunity to test whether restoration techniques to reduce cheatgrass held up following an additional disturbance. We dev

datascience.cct.arizona.edu

Agricultural Research Data Network

The purpose of this project was to increase the findability and reusability of agricultural data by creating an Agricultural Research Data Network (ARDN). Specifically, this was a cross-institutional