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.
93
datasets available to search
ShareScore release 0.9.0
Dataset results
93 results for “Biodiversity protection”
Monitoring vertebrate biodiversity of a protected coastal wetland using eDNA metabarcoding
<p>Monitoring plans using environmental DNA have the potential to offer a standardized and cost-efficient method to survey biodiversity in aquatic ecosystems. Among these ecosystems, coastal wetlands are key elements that serve as transition zones between marine and freshwater ecosystems and are today the target of many conservation and restoration efforts. In this sense, eDNA monitoring could provide a rapid and efficient tool for studying and generating baseline biodiversity information to guide coastal wetland management programs. Here we test an eDNA metabarcoding assay as a tool to characterize vertebrate biodiversity in one of the largest coastal wetlands of Chile, the Rio Cruces Wetland, a Ramsar designated site since 1981. We sampled surface water from 49 sites along the entire wetland. Our eDNA approach detected 91 genera of vertebrates including amphibians, fishes, mammals, and birds, as well as identified several cryptic, exotic, and endangered species. Our results also indicated that the spatial distribution of eDNA from different species is spatially structured despite the complex hydrodynamics inherent in this wetland due to the influence of daily tidal regimes. For amphibians and fishes, the number of taxa detected with eDNA was higher in the periphery of the wetland, and increased with proximity to the ocean, a pattern consistent with small-scale spatial sensitivity for some species and eDNA accumulation downstream for others. Birds and mammals showed somewhat more idiosyncratic distributions. Taken together our results add to the growing body of evidence showing eDNA can serve as a rapid cost-effective tool to characterize vertebrate communities in protected coastal wetlands, where visual surveys are difficult and animal collections are often prohibited. The use of multiple primer sets is also recommended as it facilitates the detection of ephemeral terrestrial organisms and resident aquatic organisms that make use of these wetlands.</p>
Hotspots of (sub)alpine plants in the Irano-Anatolian Global Biodiversity Hotspot are insufficiently protected
<p><strong>Aim</strong>: The mountainous regions in SW Asia harbours a high number of endemic species, many of which are restricted to the high-elevation zone. The (sub)alpine habitats of the region are under particular threat due to global change, but their biodiversity hotspots and conservation status have not been investigated so far.</p> <p><strong>Location</strong>: Subalpine-alpine habitats of SW Asia</p> <p><strong>Methods</strong>: Distribution data of all (sub)alpine vascular plant species of the region was compiled, resulting in 19,680 localities from 1672 (sub)alpine species, the majority of them being restricted to the region (76%). Six quantitative indices of species diversity were used on the basis of 0.5°×0.5° grid cells to identify (sub)alpine hotspots. Hotspots whose surface area in the (sub)alpine zone was covered by nature reserves maximally by 10% were defined as conservation gaps.</p> <p><strong>Results</strong>: A high proportion (80%) of the endemic species of the study area is range-restricted and narrowly distributed. The results of all six indices were highly correlated. Using the top 5%, 10% and 20% richest cells supported by any index, 32, 53 and 98 cells, respectively, were identified as Hotspots. Almost 60% of these Hotspots at all three levels were identified as unprotected (i.e., constituted Conservation Gaps). Generally, only 22%, 18% and 16%, respectively, of the alpine surface area of the identified Hotspots were covered by nature reserves for the top 5%, 10% and 20% richest cells, respectively. </p> <p><strong>Main conclusions</strong>: Although the rate of protection in (sub)alpine Hotspots exceeds that of the entire region it is still insufficient, because these Hotspots are much richer in endemic and in range-restricted species, but at the same time are under high pressure of global change. Therefore, the establishment of new nature reserves with high conservation efficiency in (sub)alpine habitats with a particular focus on the identified Hotspots is strongly recommended.</p>
Data for: Improving estimates of land protection costs in a tropical biodiversity hotspot
<p>Accurate estimates of the cost of land protection are useful for understanding where biodiversity conservation goals can be achieved at the lowest cost to society. However, because good cost maps are rare in tropical countries, conservation planning studies often ignore cost or rely on untested proxies, such as agricultural rent or land use intensity. Here, we show how analysts can estimate land protection costs using original data of public land acquisitions, global predictor datasets, and simple machine-learning models. For the Colombian Andes, a global biodiversity hotspot, we find that the principal driver of land protection cost is urban proximity, not agricultural rent. We derive cost estimates that predict public land protection costs more accurately than available cost proxies and identify new protection priorities for 143 threatened bird species. A more systematic collection of cost records of land protection will help inform public decisions on national and global biodiversity protection priorities.</p>
'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs
<p>Archive of model outputs produced for the MAgPIE v4.3.5 paper 'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection'.</p> <p>The model code of the MAgPIE and SEALS models can be accessed via:</p> <p><strong>MAgPIE model code</strong>: <a href="https://doi.org/10.5281/zenodo.5394196">https://doi.org/10.5281/zenodo.5394196</a> and <a href="https://github.com/magpiemodel/magpie">https://github.com/magpiemodel/magpie</a></p> <p><strong>MAgPIE model documentation</strong>: <a href="https://rse.pik-potsdam.de/doc/magpie/4.3.5/">https://rse.pik-potsdam.de/doc/magpie/4.3.5/</a></p> <p><strong>SEALS model code</strong>: <a href="https://doi.org/10.5281/zenodo.7795957">https://doi.org/10.5281/zenodo.7795957</a></p> <p>Data descriptions:</p> <p><strong>glosem_input.zip </strong>contains the spatially-explicit RLSK and C-factor data for each of the modelled scenarios at 10 arcseconds and the R code to estimate C-factor values based on the MAgPIE-SEALS outputs.</p> <p><strong>glosem_output.zip</strong> contains the spatially-explicit soil loss estimates for all scenarioso and the R code used to process the input data. The data was used to create Fig. 7.</p> <p><strong>magpie_ouput.zip</strong> contains the MAgPIE model outputs of all scenarios. The data is shown in Figs. 2, 3, 4, & 5.</p> <p><strong>pollination_sufficiency.zip</strong> contains the spatially-explicit pollination sufficiency estimates for all modelled scenarios and the R code used to derive the pollination sufficiency scores. The data is displayed in Fig. 6.</p>
A dark side of conservation biology: protected areas fail in representing subterranean biodiversity. Databases.
<p>We obtained distribution data for leiodids by digitizing the information provided by Fresneda and Salgado (2017). This information was updated and expanded with additional data from several sampling campaigns (unpublished data). For subterranean spiders, we included the entirety of the Alps range extending from France in the east westward through Switzerland, Italy, Liechtenstein, Austria, Germany, and Slovenia, by integrating available data in Global Biodiversity Information Facility (GBIF), Spider of Europe), Araneae.it and other literature sources.</p>
Protecting the global ocean for biodiversity, food and climate
Open the record for dataset details and reuse information.
Hotspots of (sub)alpine plants in the Irano-Anatolian Global Biodiversity Hotspot are insufficiently protected
Open the record for dataset details and reuse information.
Data for: Improving estimates of land protection costs in a tropical biodiversity hotspot
Open the record for dataset details and reuse information.
Open habitats in a tropical biodiversity hotspot support pollinator diversity in both protected and unprotected areas
Open the record for dataset details and reuse information.
Data from: The protected flora of long-established cemeteries in Hungary: using historical maps in biodiversity conservation
Open the record for dataset details and reuse information.
Monitoring vertebrate biodiversity of a protected coastal wetland using eDNA metabarcoding
Open the record for dataset details and reuse information.
Data from: Modelling the current and future biodiversity distribution in the Chilean Mediterranean Hotspot. The role of protected areas network in a warmer future
Aim: Mediterranean Chile is part of the five recognized Mediterranean-type climates in the world and harbors a very rich floral diversity. Climate change has been reported as a significant threat to its biodiversity. We used the flora of Mediterranean Chile to analyze how biodiversity patterns, as measured by Phylogenetic Diversity, genus and species richness will respond to climate change scenarios and identify the areas that will harbor the greatest evolutionary potential and biodiversity richness. We also evaluated how these spatial patterns are depicted within the current network of protected areas. Location: Chilean Mediterranean climate-type Region, South America. Methods: Biodiversity metrics were evaluated for current and future climatic scenarios. Species distribution models were done using Maxent for 1.727 species and 571 genera. Relationships between species/genera gain, loss and turnover were evaluated. For Mediterranean endemic species, loss and gain was also related to life form. Finally, variation in species gain, loss and turnover was evaluated in future climate change scenarios within and outside Mediterranean Chile state protected areas. Results: We found a general decrease in species richness in the entire Region toward future climate change scenarios. Phylogenetic Diversity is predicted to be higher than expected by richness in the north and south of the area, and lower than expected by richness in the Andes mountain. The highest average species and genus loss is predicted to occur outside the protected areas, meanwhile species and genus gain is higher within them. Main conclusions: Future biodiversity patterns are reported here for the first time in the Chilean Mediterranean Region. Our findings enhance the importance of the current protected areas to harbor this future variation, despite their reduced number and size along the region.
Data from: Mediterranean marine protected areas have higher biodiversity via increased evenness, not abundance
<p>1. Protected areas are central to biodiversity conservation. For marine fish, marine protected areas (MPAs) often harbour more individuals, especially of species targeted by fisheries. But precise pathways of biodiversity change remain unclear. For example, how local-scale responses combine to affect regional biodiversity, important for managing spatial networks of MPAs, is not well known. Protection potentially influences three components of fish assemblages that determine how species accumulate with sampling effort and spatial scale: the total number of individuals, the relative abundance of species, and within species aggregation. Here, we examined the contributions of each component to species richness changes inside MPAs as a function of spatial scale.</p> <p>2. Using standardised underwater visual survey data, we measured the abundance and species richness of reef fishes in 43 protected and 41 fished sites in the Mediterranean Sea.</p> <p>3. At both local and regional scales, increased species evenness caused by added common species in MPAs compared to fished sites was the most important proximate driver of higher diversity.</p> <p>4. Site-to-site variation in the composition (i.e., ß-diversity) of common species was also higher among protected sites, and depended on sensitivity to exploitation. There were more abundant exploited species at regional scales than at local scales, reflecting a tendency for different protected sites to harbour different exploited species. In contrast, fewer abundant unexploited species were found at the regional scale than at the local scale, meaning that relative abundances at the regional scale were less even than at the local scale.</p> <p>5. <em>Synthesis and applications.</em> Although marine protected areas (MPAs) are known to strongly influence fish community abundance and biomass, we found that changes to the relative abundance of species (i.e., increased evenness) dominated the biodiversity response to protection. MPAs had more relatively common species, which in turn led to higher diversity for a given sampling effort. Moreover, higher ß-diversity of common species meant that local scale responses were magnified at the regional scale due to site-to-site variation inside protected areas for exploited species. Regional conservation efforts can be strengthened by examining how multiple components of biodiversity respond to protection across spatial scales.</p>
Distribution. SE Myanmar (Tenasserim) S through W and peninsular Thailand to Peninsular Malaysia, with scattered records from C & S Laos (Phou Hin Poun National Biodiversity Conservation Area and Xe Pian National Protected Area), SW & S Cambodia (Cardamom and Elephant Mts), S Vietnam (Dong Nai and Ba Ria-Vung Tau provinces and Phu Quoc I), and Borneo (Niah National Park in Sarawak, Witti Range and Sepilok in Sabah, and East Kalimantan). in Vespertilionidae
Distribution. SE Myanmar (Tenasserim) S through W and peninsular Thailand to Peninsular Malaysia, with scattered records from C & S Laos (Phou Hin Poun National Biodiversity Conservation Area and Xe Pian National Protected Area), SW & S Cambodia (Cardamom and Elephant Mts), S Vietnam (Dong Nai and Ba Ria-Vung Tau provinces and Phu Quoc I), and Borneo (Niah National Park in Sarawak, Witti Range and Sepilok in Sabah, and East Kalimantan).
Supplementary material 1 from: Zapponi L, Mazza G, Farina A, Fedrigoli L, Mazzocchi F, Roversi PF, Sabbatini Peverieri G, Mason F (2017) The role of monumental trees for the preservation of saproxylic biodiversity: re-thinking their management in cultural landscapes. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 231-243. https://doi.org/10.3897/natureconservation.19.12464
List of recorded species : Explanation note: The supplementary material contains the list of species recorded during the 1982 and 2017 inventories, showing for each species: number of individuals, average circunference and average height.
FIGURE 32. Anthracopsis gigliotosi Karny, 1907 in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 32. Anthracopsis gigliotosi Karny, 1907: a) habitus of the female after Karny (1907); b) frontal view of the head; c) dorsal view of male showing the small tegmina; d) and e) dorso-lateral and lateral views of last abdominal tergites, cerci and subgenital plate of male; f) ventral-lateral view of the subgenital plate of male. Figs. b, d and f: C. Hemp (specimens at MNHN, Paris).
FIGURE 31 in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 31. Comparative aspect of the stridulatory file of twelve species of Tetraconcha; with the exception of T. aristophanousi (which lives in West Africa), the others have been found in central tropical Africa.
FIGURE 33. a in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 33. a) Number of species of Tettigoniidae found during the four expeditions to Nouabalé-Ndoki N. P. (Republic of Congo) by the ANHRT. b) Sørensen's index of similarity between two successive expeditions to Nouabalé-Ndoki N. P. (Republic of Congo) by the ANHRT; last results of April–May 2023 were compared with those of June 2022.
FIGURE 30. Tetraconcha laszloi n in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 30. Tetraconcha laszloi n. sp. a) stridulatory area of the male; b) stridulatory file under the left tegmen; c) dorsal view of cerci and subgenital plate.
FIGURE 29. Tetraconcha maculosa n in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 29. Tetraconcha maculosa n. sp. a) stridulatory area of the male; b) stridulatory file under the left tegmen; c) dorsal view of cerci and subgenital plate; d) ventral view of cerci and subgenital plate.
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.