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.
331
datasets available to search
ShareScore release 0.7.1
Dataset results
331 results for “plantation”
Data from: Carbon dynamics and environmental controls of a hilly tea plantation in Southeast China
Open the record for dataset details and reuse information.
Genome-wide epigenetic analysis of Japanese immigrant plantation workers with Parkinson’s Disease
GEO Series GSE151355. Homo sapiens. 40 samples. Type: Methylation profiling by array.
Fig. 1 in Outbreak of Lampetis instabilis (Laporte and Gory) (Coleoptera: Buprestidae) on Regrowth Plantation ofEucalyptus urophylla S. T. Blake × Eucalyptus grandis Hill Ex Maiden Hybrids in Brazil
Fig. 1. Lampetis instabilis and injury to the main (A) and side (B) branches of Eucalyptus urophylla × E. grandis shoots, Grão Mogol, Minas Gerais, Brazil.
The degree and depth limitation of deep soil desiccation and its impact on xylem hydraulic conductivity in dryland tree plantations
<p>All the basic data covered in the paper.</p>
Fig. 4 in Dispersion Pattern of Giant Cicada (Hemiptera: Cicadidae) in a Brazilian Coffee Plantation
Fig. 4. IQD interpolation maps showing the dispersion of males (a) and females (b) of Quesada gigas in the study area.The intense red color to the light green color gradually represents decreasing percentage recapture rates. indicates the point of capture, marking, and release of adults. represents Eucalyptus plants at one edge of the area.
Plantation Heritage Park
Plantation Heritage Park located in Plantation FL Source: Objaverse 1.0 / Sketchfab
Selective logging and plantation impacts on dung beetle abundances in Malaysian Borneo
<p>If you wish to use these data, please contact grcerullo AT gmail DOT com. </p> <p>This dataset represents a geolocated and standardised dung beetle sampling effort spanning a logging and plantation gradient in Sabah, Malaysian Borneo. Habitat types sampled in Jun-Aug 2022 include:</p> <ul> <li><strong>Primary forest </strong>(12 traps, 1 site)</li> <li><strong>Restored forest </strong>(once-logged forest subjected to liana cutting and enrichment planting) (24 traps, 2 sites)</li> <li><strong>Once-logged forest</strong> left naturally regenerating (24 traps, 2 sites)</li> <li><strong>Twice-logged forest </strong>(12 traps, 1 site)</li> <li><strong><em>Albizia falcataria</em></strong> plantations, grown on 12-yr rotation (36 traps, 3 sites)</li> <li><strong><em>Eucalyptus pellita</em> </strong>plantations, grown on 6-yr rotations. (36 traps, 3 sites)</li> </ul> <p>Efforts were made to sample across a chronosequence of harvesting and plantation ages. These data supplement historic dung beetle sampling efforts throughout the Ulu-Segama area, which will also be made openly available by Gianluca Cerullo (grcerullo AT gmail.com) on Zenodo prior to manuscript publication. </p> <p>Traps were located 200 m apart with sites > 1km apart, where possible. Pitfall traps were baited with human dung and left for 96 hrs, with beetles collected every 24hs and with traps rebaited after 48hrs. </p> <p>Dung beetles were identified by Gianluca Cerullo to species-level following the GBIF backbone. Reference collections are stored in the Entomology laboratory of UMS, in Kota Kinabalu, Sabah. All beetles collected have been stored in ethanol and are being shipped to NTU in Singapore.</p> <p><em>SHAPEFILES ARE ALSO PROVIDED FOR: </em></p> <p><strong>SabahSoftwoodCompartments</strong>: the area, size and location of different plantation compartments within the Sabah Softwood tree plantation area. This represents the largest timber plantation in Sabah with Eucalyptus pellita and Albizia falcataria the main plantation species. </p> <p><strong>SabahSoftwoodsPlantingYrs2022</strong>: The species planted in the plantation, plus the year of planting. These data were correct as of July 2022. </p> <p><strong>DanumValley_PrimaryForest: </strong>Shows the boundaries of primary forest in Danum Valley. </p> <p><strong>INFAPRO: </strong>Shows the location of areas logged and and then subjected to vine-cutting and strip-planting of native dipterocarp seedlings. </p> <p><strong>COUPES:</strong> Shows the location and age of different logging coupes in the Yayasan Sabah logging concession. </p> <p>Further information on sampling protocol and the study area can be found in Chapter 3 (and the appropriate Appendices) of GC's thesis: https://www.repository.cam.ac.uk/items/617f455b-2eb5-4b14-903a-9e6bbd968886 (this section will be updated upon manuscript publication). </p>
soil-water dynamics under high-density tree plantation under stemlfow and stemflow-suppression conditions
<p>daily dataset for matric suction, soil volumetric moisture content and soil temperature under a high-density, sycamore stand in which stemflow was suppressed in half of the investigated tree individuals were</p>
Microsatellite markers data of Cedrus brevifolia in Cyprus (natural and plantation stands)
<p>The file "RawData_Eliades et al. 2019_Biodiversity and Conservation.xlsx" contains the microsatellites data used in the study:</p> <p>"An approach to genetic resources conservation of peripheral isolated plant populations: the case of the island narrow endemic species Cedrus brevifolia Henry.", by Eliade et al. (2019), published in Biodiversity and Conservation</p>
Use of Vegetation Change Tracker, Spatial Analysis, and Random Forest Regression to Assess the Evolution of Plantation Stand Age in Southeast China
<p>It is crucial to determine the spatio-temporal distribution patterns of forest ages across wide regions, as forest management plans and practices, and ecosystem carbon budgeting are highly dependent on these. However, given frequent deforestation events (e.g., harvesting) and rapid recovery of plantation stands in Southern China, field-based forest age measurements over wide regions are time-consuming, labour-intensive, and costly. In the current study, we mapped the spatio-temporal patterns of forest stand ages across three typical plantations in Southern China. This was accomplished by using two new feasible and accurate methods, 1) integrating vegetation change tracker (VCT) algorithm and spatial analysis (VCT-SA) for the pixels that were disturbed at least once from 1987 to 2017, and 2) integrating VCT and random forest (VCT-RF) for the pixels were not disturbed during the study period. The results revealed the spatio-temporal distribution of age structure, which indicated that the plantation stands in our large study area were increasingly aging.</p>
Dissolved N2O concentration and water qualities in the oil palm plantation drainage in Malaysia
<p>Dataset: dissolved N2O concentration and water qualities in the drainage ditch water </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.