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.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Important Plant Area”
Improving the application of Important Plant Areas to conserve threatened habitats: a case study of Uganda
<p><strong>This data set relates to the publication: Richards, S. L., Kalema, J., Ojelel, S., Williams, J., & Darbyshire, I. (2024). Improving the application of Important Plant Areas to conserve threatened habitats: A case study of Uganda. Conservation Science and Practice, e13246. https://doi.org/10.1111/csp2.13246<br></strong></p> <p><strong>Abstract:</strong></p> <p>Important Plant Areas (IPAs) are a successful method of identifying priority areas for plant conservation. Assessment of IPAs, however, often relies on criteria related to species, while incorporation of habitats has been less consistent. Using Uganda as a case study, we test the application of the threatened habitat criterion – criterion C. We identified nationally threatened habitats using Red List of Ecosystems criteria and assess, for the first time, how differing application of thresholds under IPA criterion C can influence IPA network outcomes. Eleven threatened habitats were identified, with declines switching from predominantly forest to savanna after the mid-20<sup>th</sup> century. Significantly, we found current IPA guidance on use of criterion C needlessly limits the number of sites that qualify as IPAs. The “five best sites” IPA threshold is reserved for countries where quantitative data is unavailable, however, the application of the relevant numerical thresholds (site contains ≥10% of national resource or site is among the best quality examples required to collectively prioritisie up to 20% of the national resource) to quantitative data largely generated fewer than five IPAs, comparably limiting conservation opportunities identified. We recommend, therefore, that the “five best” threshold is available for application on both qualitative and quantitative data. This will bolster the value of IPAs in conserving and restoring threatened and ecologically important habitats under the Kunming-Montreal Global Biodiversity Framework.</p> <p><strong>Dataset:</strong></p> <p>Within this dataset is a shapefile of the estimated extent of threatened habitats in Uganda. Each polygon represents a single "site" for each threatened habitat, with methodology for site identification given in the manuscript. Feature area and percentage national resource are given for each site, enabling users to identify those that trigger the different IPA criterion C thresholds.</p> <p><strong>In this study, we have preliminarily identified the threatened habitats and IPAs for Uganda. However, it is important to seek the expertise and views of stakeholders, consider other IPA criteria met and any complementarity between sites when identifying IPAs. In addition, ground-truthing or more localised data could validate the threat status of a vegetation type as well as identifying which sites are best to conserve these habitats. </strong></p>
Identifying Mozambique's most critical areas for plant conservation: An evaluation of protected areas and important plant areas
<p>Successful protected area networks must represent biodiversity across taxonomic groups. However, too often plant species are overlooked in conservation planning, and the resulting protected areas may, as a result, fail to encompass the most important sites for plant diversity. The Mozambique Tropical Important Plant Areas project sought to promote the conservation of Mozambique's flora through the identification of Important Plant Areas (IPAs). Here, we use the Weighted Endemism including Global Endangerment (WEGE) index to identify the richest areas for rare and endemic plants in Mozambique and subsequently evaluate how well represented these hotspots are within the current protected area and IPA networks. We also examine the congruence between IPA and protected areas to identify opportunities for strengthening the conservation of plants in Mozambique. We found that high WEGE scores, representing areas rich in endemic/near‐endemic and threatened species, predict the presence of IPAs in Mozambique, but do not predict the presence of protected areas. We also find that there is limited overlap between IPAs and protected areas in Mozambique. We demonstrate how IPAs could be an important tool for ensuring priority sites for plant diversity are included within protected area network expansions, particularly following the adoption of the "30 by 30" target agreed within the post‐2020 Convention on Biological Diversity framework, with great potential for this method to be replicated elsewhere in the global tropics.</p>
Identifying Mozambique's most critical areas for plant conservation: An evaluation of protected areas and important plant areas
Open the record for dataset details and reuse information.
Supplementary data to: Important Plant Areas of Cameroon.
<p>Supplementary data to Important Plant Areas of Cameroon.</p> <p>Includes:</p> <p>Species-site grid.</p> <p>Criterion B(ii) species list (national endemic and range-resticted species)</p> <p>Criterion B(ii) site totals</p> <p>Species-site area data</p> <p>Example specimen records for cited species at each site</p>
Supplementary material 3 from: Dolata MA, Woodfield-Pascoe N, Heller T, Dani Sanchez M, Bárrios S, Schill SR, Karlsson Nyed P, Hamilton MA, Grant K, Clubbe C, Dalsgaard B (2024) Prioritising areas for conservation within Tropical Important Plant Areas of the British Virgin Islands, Caribbean. Nature Conservation 55: 153-176. https://doi.org/10.3897/natureconservation.55.116844
Portfolios - Virgin Gorda
Supplementary material 2 from: Dolata MA, Woodfield-Pascoe N, Heller T, Dani Sanchez M, Bárrios S, Schill SR, Karlsson Nyed P, Hamilton MA, Grant K, Clubbe C, Dalsgaard B (2024) Prioritising areas for conservation within Tropical Important Plant Areas of the British Virgin Islands, Caribbean. Nature Conservation 55: 153-176. https://doi.org/10.3897/natureconservation.55.116844
Portfolios - Tortola
Supplementary material 1 from: Dolata MA, Woodfield-Pascoe N, Heller T, Dani Sanchez M, Bárrios S, Schill SR, Karlsson Nyed P, Hamilton MA, Grant K, Clubbe C, Dalsgaard B (2024) Prioritising areas for conservation within Tropical Important Plant Areas of the British Virgin Islands, Caribbean. Nature Conservation 55: 153-176. https://doi.org/10.3897/natureconservation.55.116844
Portfolios - Anegada
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.