Home ›
Entities
› academia
› Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting
Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting
Research article (CATENA, 2021) · cited 64× · AI/ML
Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting
Summary
Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting is a scholarly article[1].
Key Facts
Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-the-provenance-of-dune-sediments-in-the-taklimakan-desert-using-machine-learning-multidimensional-scaling-an
MLA“Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-the-provenance-of-dune-sediments-in-the-taklimakan-desert-using-machine-learning-multidimensional-scaling-an.
BibTeX@misc{4ortxyz_quantifying-the-provenance-of-dune-sediments-in-the-taklimakan-desert-using-machine-learning-multidimensional-scaling-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-the-provenance-of-dune-sediments-in-the-taklimakan-desert-using-machine-learning-multidimensional-scaling-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying the provenance of dune sediments in the Taklimakan Desert using machine learning, multidimensional scaling and sediment source fingerprinting — https://4ort.xyz/entity/quantifying-the-provenance-of-dune-sediments-in-the-taklimakan-desert-using-machine-learning-multidimensional-scaling-an (retrieved 2026-05-24)
