forests2017

genome_aggregation

code used in Locey and White (2011) to examine patterns of aggregation in genomes

github-wiki-slack-notifier

Heroku app that sends updates for a (probably private) GitHub wiki to a Slack channel.

gsoc

Numfocus Google Summer of Code Materials

idtrees_competition_evaluation

Evaluation metrics for 2020 competition using NEON remote sensing data

inferpy

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

lab-manual

labcvs

Whole lab CVs (including contributions of all members)

lda-kratplots

ldats

Latent Dirichlet Allocation coupled with Bayesian Time Series analyses

ldats-replications

ldats_user2020

LDATS useR2020 talk

livedat

Template for living data workflow

livedat-github-actions

macro-ts-struct

Macroecological Analysis of Time-Series Structure

macroecotools

Tools for Macroecological Analyses Using Python

matss

R Package for Macroecological Analysis of Time Series Structure (MATSS)

matss-forecasting

Forecasting Analysis Comparison for Ecological Time Series

matss-ldats

Macroecological LDA analysis of time series

matss-startup

Macroecological Analysis of Time Series Structure

matssdemo

Automated build of a MATSS compendium

mcdb

Mammal community database updates

metabarcoding

Repository for work on the diet partitioning study at Portal

mete

Software for fitting and testing John Harte and colleagues' Maximum Entropy Theory of Ecology.

mete-energy

Research on the energetic predictions of METE

mete-geog

Research on making geographic predictions for macroecological patterns using the Maximum Entropy Theory of Ecology

mete-spatial

Research on the spatial predictions of METE

mte-ecto

Research on the consequences of size-temperature relationship for understanding global change

ndvining

sifting and comparing multiple NDVI sources and ensembles

neon-data-skills

Self-paced tutorials and classroom teaching modules that review key data literacy concepts and data analysis skills. Published materials can be found at neonscience.org/neondataskills