• Genetic Variants in KCTD1 Are Associated with Isolated Dental Anomalies

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06/12/2024 by   

Metadata

Document Title

Genetic Variants in KCTD1 Are Associated with Isolated Dental Anomalies

Author

Ruangchan C., Ngamphiw C., Krasaesin A., Intarak N., Tongsima S., Kaewgahya M., Kawasaki K., Mahawong P., Paripurana K., Sookawat B., Jatooratthawichot P., Cox T.C., Ohazama A., Ketudat Cairns J.R., Porntaveetus T., Kantaputra P.

Affiliations

Forestry and Ecology Group, National Remote Sensing Centre, ISRO, Hyderabad, 500 037, India; Indian Institute of Space Science and Technology (IIST), Kerala, Thiruvananthapuram, India; College of Forestry, Oregon State University, Corvallis, OR 97331, United States; AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France; Center for Conservation and Sustainability, Smithsonian National Zoo and Conservation Biology Institute, Washington, DC, United States; Ecole Nationale des Eaux et For?ts de Mbalmayo, Minist?re Des For?ts Et De La Faune, Mbalmayo, Cameroon; Department of Ecology, French Institute of Pondicherry, Pondicherry, 605 001, India; Institut de pharmacop?e et de m?decine traditionnelle (Herbier National du Gabon), CENAREST, Libreville, Gabon; National Biobank of Thailand (NBT), National Science and Technology Development Agency, Pathum Thani, Klong Luang, Thailand; Department of Environmental Technology and Management, Faculty of Environment, Kasetsart University, Bangkok, 10900, Thailand; National Institute of Advanced Studies (NIAS), Bangalore, India; Plant Systematics and Ecology Laboratory, Higher Teachers’ Training College, University of Yaound? I, P.O. Box 047, Yaound?, Cameroon; International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, P.O Box 1857, Yaound?, Cameroon; International Institute of Tropical Agriculture (IITA), BP 2008 (Messa), Yaound?, Cameroon; Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles, Los Angeles, CA 90095, United States; Institut Sup?rieur d’Etudes Agronomiques de Bengamisa, R?publique D?mocratique du Congo, Congo, France; Department of Geography, University College London (UCL), London, United Kingdom; School of Geography, University of Leeds, Leeds, United Kingdom; Ecologie des For?ts M?diterran?ennes (URFM), INRAE, Avignon, F-84914, France; Dja Wildlife Reserve, Ministry of Forestry and Wildlife, Yaound?, Cameroon; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; Missouri Botanical Garden, Africa & amp; Madagascar Program, 4344 Shaw Blvd., St. Louis, MO 63110, United States

Type

Data Paper

Source Title

Scientific Data

ISSN

20524463

Year

2024

Volume

11

Issue

1

Open Access

All Open Access, Gold

Publisher

Nature Research

DOI

10.1038/s41597-024-03162-x

Abstract

Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth’s carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR). ? The Author(s) 2024.

License

CC BY

Rights

Authors

Publication Source

WoS

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