Datasets

type: dataset

Total is 1572 Results
Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models

10.4231/80RV-X686

Qianlai Zhuang, 0000-0002-4536-9851, Seungbum Kim, Xuan Xi, Zhen Zhang

02/27/2023

This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.

ALBM EAPS Matlab Methane Emission TEM-MDM

Acoustic properties of non-native clear speech: Korean speakers of English

10.4231/VTE5-GN79

Olga Dmitrieva, Ye-Jee Jung, 0000-0002-8598-4023

03/08/2023

Each .csv file provides information about Speaker Group, Speaking Style, and Voicing (for some models) that are used as fixed effects, along with dependent variables (i.e. each acoustic parameter).

clear speech English Hyperarticulation Korean Linguistics

mHealth hyperspectral learning for hemodynamics

10.4231/VAFP-DW68

Young L Kim, 0000-0003-3796-9643

03/27/2023

A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution

Biomedical Engineering hemodynamics Matlab mHealth spectral learning

Source Data for Organic Optoelectronic Synapse

10.4231/K3D7-2698

Ashkan Abtahi, Habtom B Gobeze, Hang Hu, Inho Song, Jianguo Mei, Ke Chen, 0000-0003-3258-7582, Kirk S. Schanze, Won-June Lee

06/23/2023

Source data for manuscript 'Organic Optoelectronic Synapse Based on Photon-Modulated Electrochemical Doping ' ( 10.1038/s41566-023-01232-x)

Chemistry electrochemical device image memorization and recognition organic optoelectronic synapse

COVID impacts on human-animal relationship and mental health

10.4231/B5TQ-5Z89

Hsin-Yi Weng, 0000-0001-5514-099X, Niwako Ogata

03/29/2023

Trend in human-animal relationship, stress and loneliness during COVID pandemic

COVID-19 human-animal bond human-animal interaction Mental Health stress

Row Selection in Remote Sensing for Maize and Sorghum

10.4231/PF9S-4G38

Mitchell R Tuinstra, 0000-0002-5322-6519, Seth A Tolley, 0000-0001-9664-3534

07/26/2023

Remote sensing data evaluates all row segments of a plot, but the repeatability of traits from different row segments has not been evaluated. We evaluated which row segments provide the best repeatability and yield prediction of remote sensing traits.

Border effect High-throughput Phenotyping hyperspectral LiDAR Maize Plot trimming Predictive modelling Remote Sensing RGB Sorghum UAV

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