Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

5

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

5 results for “Rocky desertification”

Learn how ShareScore rates datasets ↗
zenodo40/100

Karst Rocky Desertification in Guizhou,China

<p>Building a high-precision, stable, and universal automatic extraction model of rocky desertification information is the premise for exploring the spatiotemporal evolution of rocky desertification. Taking Guizhou province as the research area and based on MODIS and continuous forest inventory data in China (NFCI), we used a machine learning algorithm (SVM) to build a rocky desertification model with bedrock exposure rate, temperature difference, humidity, and other characteristic factors and improved the model accuracy from the spatial and temporal dimensions.&nbsp;</p>

opencc-by-4.0Jul 2021View details →
dryad32/100

Distribution pattern of rocky desertification in southwest China and analysis of its main driving factors based on GIS and Geodetector

<p>Rocky desertification, a pressing environmental concern in Southwest China, significantly impacts local living conditions and regional sustainability. Employing remote sensing on a macro scale, this study focuses on identifying and analyzing the spatial distribution and driving factors of rocky desertification. Conducted in Southwest China, using Landsat data from Google Earth Engine for 2020, the research quantitatively extracts information on rocky desertification patches through traditional methods. Excluding unlikely areas using land use data, spatial distribution features and driving factors are examined via GIS spatial analysis and a geodetector model. The main conclusions are as follows. Rocky desertification covers 217,530.4 km<sup>2</sup> (accounting for 15.6% of Southwest China), with areas of slight, moderate, and severe rocky desertification at 81.3%, 7.1%, and 11.6%, respectively. Spatially, rocky desertification primarily occurs in areas where lithology is carbonate rock between clastic rocks and continuous limestone, slope exceeds 15°, elevation ranges is 1000–2000 m, land use types are grassland and woodland, precipitation is 80–120 mm, and population density is below 50 people/km<sup>2</sup>. Human activities have minimal influence. Geodetector analysis identifies lithology, land use type, and slope as primary driving factors, with interactive effects of lithology and land use type and slope and land use type jointly influencing rocky desertification formation in Southwest China.</p>

opencc-zeroOct 2023View details →
dryad32/100

Effects of rocky desertification habitat on main secondary metabolites of Akebia trifoliata

<p>In recent years, <i>Akebia trifoliata</i> used to restore rocky desertification environment. We first discovered that the medicinal content of<i> A</i><i>. trifoliata</i> will increase in rocky desertification habitats, but its mechanism of action is not clear. In this study, <i>A. trifoliata</i> was planted in normal habitats and rocky desertification habitats, and changes in the content of secondary metabolites and related enzyme activities were analyzed. The results showed that: (1) the biomass of the roots, stems and leaf of <i>A. trifoliata</i> reduced significantly, but the content of secondary metabolites increased significantly in rocky desertification habitats. It is mainly reflected in the content of tannins in leaves, flavonoids in roots, and total phenols in roots, stems and leaves. (2) <i>A</i><i>. trifoliata</i> changed the enzyme activities of PAL (Phenylalanine ammonialyase), C4H (Cinnamate-4-Hydroxylase) and 4CL (4-Coumarate: Coenzyme A Ligase), thereby regulated the increase in the content of secondary metabolites in rocky desertification habitat. (3) the content of medicinal components of <i>A. trifoliata</i> increased significantly in rocky desertification habitat. The highest content of oleanolic acid in the roots from July to August, and the highest content of α-hederagenins in the stems in July; (4) principal component analysis showed that the main response index of <i>A. trifoliata</i> secondary metabolites and related enzymes in rocky desertification habitats was total phenols. This study revealed the response mechanism of <i>A</i><i>. trifoliata</i> secondary metabolites and related enzymes in rocky desertification habitats. It not only provided a new choice for the exploiting of medicinal resources of <i>A. trifoliata</i>, but also provided a new theoretical basis for <i>A. trifoliata</i> to restore rocky desertification environment.</p>

opencc-zeroAug 2022View details →
dryad32/100

Effects of rocky desertification habitat on main secondary metabolites of Akebia trifoliata

Open the record for dataset details and reuse information.

publicAug 2022View details →
dryad32/100

Distribution pattern of rocky desertification in southwest China and analysis of its main driving factors based on GIS and Geodetector

Open the record for dataset details and reuse information.

publicOct 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.