Agroecosystems & Environment

Data from: Evaluating plant biodiversity measurements and exotic species detection in National Resources Inventory Sampling protocols using examples from the Northern Great Plains of the USA

The use of the standardized Whitaker plot method allows the authors to combine plant biodiversity and soil data from the northern Great Plains with other databases worldwide for larger-scale meta-analyses. The multiscale technique also enables comparison of vegetation dynamics at multiple scales.

3x csv
docx

Data from: Demographic parameters shift over time among artificially selected Drosophila melanogaster: a case for or against lifetime reproductive measurements

2x csv

Data from: Selective Protein Starvation by Mormon crickets Following Fungal Attack

rtf
3x csv

Nutrient replacement for corn growing with or without weeds 2022-2023

excel

Data from: A site suitability analysis for castor (Ricinus communis L.) production during Brazil's second harvest accounting for potential disease

Data from: Precipitation manipulation experiments may be confounded by water source

This study aims to investigate the consequences of performing precipitation manipulation experiments with mineralized water in place of rainwater (i.e. demineralized water). Limited attention has been paid to the effects of water mineralization on plant and soil properties, even when the experiments are in a rainfed context.

2x csv
txt

Immigration and cyclical bottlenecks: High inbreeding despite high genetic diversity in an oscillating population of the biting midge, Culicoides sonorensis (Diptera: Ceratopogonidae)

2x xlsx

CameraTrapDetectoR Pig Model

This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR pig-only model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts wild pigs in camera trap images. It also includes categories for non-pig detections (animal, human, or vehicle), and a background class.

CameraTrapDetectoR General Model

This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR general model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts mammals and birds in camera trap images, and includes categories for humans, vehicles, and a background class.

CameraTrapDetectoR Family Model

This dataset contains the model weights, architecture, and class label dictionary for CameraTrapDetectoR family model version 1. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone. This model identifies and counts animals from 33 North American taxonomic families in camera trap images, including humans vehicles and a background class.