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.
187
datasets available to search
ShareScore release 0.9.0
Dataset results
187 results for “species at risk”
Species diversity and extinction risk of vertebrate pollinators in India
<p>This repository includes the data compiled and used for the study of <strong>‘Species diversity and extinction risk of vertebrate</strong><br><strong>pollinators in India’</strong>. If you use these data, please cite them along with our manuscript:</p> <blockquote> <p>Kallivalappil R., Grattarola F., de Alwis Pitts D., Cotter S.C. & Pincheira-Donoso D. (2024). Species diversity and extinction risk of vertebrate<br>pollinators in India. <em>Biodiversity and Conservation</em>. https://doi.org/10.1007/s10531-024-02848-3</p> </blockquote> <p> </p> <h2>Abstract</h2> <p>Animal pollinators underpin the functioning and persistence of ecosystems globally. However, the vital role of pollination is being progressively eroded by the worldwide decline of pollinator species caused by human-induced environmental degradation, resulting in rising costs to biodiversity, agriculture, and economy. Most studies quantifying pollinator diversity and declines have focused on insects, whereas vertebrate pollinators remain comparatively neglected. Here, we<br>present the first comprehensive study quantifying the macroecological patterns of species richness and extinction risk of bird and mammal pollinators in India, a region of extremely high biodiversity and increasing anthropogenic pressure. Our results reveal that hotspots of mammal pollinator diversity are restricted to the south of the Western Ghats, whereas bird pollinator diversity hotspots are scattered throughout the country. Analyses of hotspots of threatened species<br>(based on the IUCN Red List) show that only mammal pollinators are currently classified as threatened in India, whereas multiple hotspots of population declines were observed for birds, and primarily in the Southwest for mammal pollinators. Our analyses failed to identify a role for species traits as drivers of these patterns, whereas most pollinators appear to be threatened by agriculture, logging and hunting for food, and medicinal purposes. Pollinator endangerment has widescale<br>ecological and economic implications such as reduced food production, plant extinction, loss of functional and genetic diversity, and economic damage. We suggest protection of vertebrate pollinators should be emphasised in active conservation agendas in India.</p> <p> </p> <h2>Files</h2> <h3>Spatial</h3> <ul> <li><code>india.gpkg</code></li> <li><code>birds.gpkg</code></li> <li><code>mammals.gpkg</code></li> <li><code>how_to_read_gpkg_data.R</code></li> </ul> <h3>Phylogenetic</h3> <ul> <li><code>PGLS_phylogeny_birds.nex</code></li> <li><code>PGLS_phylogeny_mammals.nex</code></li> </ul> <h3>Tables</h3> <ul> <li><code>all_bird_traits.csv</code></li> <li><code>all_mammals_traits.csv</code></li> <li><code>threatened_mammals_traits.csv</code></li> <li><code>plant_pollinator_dataset.csv</code></li> <li><code>pollinator_plant_dataset.csv</code></li> <li><code>references.txt</code></li> </ul>
Physiological information in Canadian species at risk recovery strategies (animals)
<p>Summary of physiological information contained in Canadian (animal) species at risk recovery strategies (SARA). For each recovery strategy, the dataset includes the species covered, publication dates, taxonomic classification, the number of times physiology was mentioned, the types of physiological traits included, and the threats the associated organism faces.</p>
Risk response towards roads is consistent across multiple species in a temperate forest ecosystem
<p>Roads can have diverse impacts on wildlife species, and while some species may adapt effectively, others may not. Studying multiple species' responses to the same infrastructure in a given area can help understand this variation and reveal the effects of disturbance on the ecology of wildlife communities. This study investigates the behavioural responses of four species with distinctive ecological and behavioural traits to roads in the protected Bohemian Forest Ecosystem in Central Europe: European roe deer (<em>Capreolus capreolus), </em>a<em> </em>solitary herbivore; red deer (<em>Cervus elaphus</em>) a gregarious herbivore; wild boar (<em>Sus scrofa</em>), a gregarious omnivore and Eurasian lynx (<em>Lynx lynx</em>), a solitary large carnivore. We used GPS data gathered from each species to study movement behaviour and habitat selection in relation to roads using an integrated step selection analysis. For all species and sexes, we predicted increased movement rates in response to roads, selection of vegetation cover near roads and open areas after road crossings, and increased road avoidance during the day. We found remarkably similar behavioural responses towards roads across species. The behavioural adaptations to road exposure, such as increased movement rates and selection for vegetation cover, were analogous to responses to natural predation risk. Roads were more strongly avoided during daytime, when traffic volume was high. Road crossings were more frequent at twilight and at night within open areas offering food resources. Gregarious animals exposed to roads favoured stronger road avoidance over faster movements. Ungulates crossed roads more at twilight, coinciding with commuter traffic during winter. Despite differences in the ecology and behaviour of the four species, our results showed similar adaptations towards a common threat. These insights can be used by managers to promote safer road crossings where roads interfere with animals' natural behaviour. The continuous expansion of the global transportation network should be accompanied by efforts to understand and minimise the impact of roads on wildlife to assist wildlife management and ensure conservation.</p>
High-Resolution Vector-borne Disease Infection Risk Mapping with Area-to-Point Kriging and Species Distribution Modeling - Datasets
<p>Datasets and notebooks used in the publication High-Resolution Vector-borne Disease Infection Risk Mapping with Area-to-Point Kriging and Species Distribution Modeling</p>
Figure 3 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 3. The proportion of risk statuses of fish families with four or more species assessed at the extent of Florida. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 1. The proportion of risk statuses of fish families with four or more species assessed at the extent of the conterminous U.S. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 2 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 2. The proportion of risk statuses of fish families with four or more species assessed at the extent of the Great Lakes region. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in Developing biosecurity plans for non-native species in marine dependent areas: the role of legislation, risk management and stakeholder engagement
Figure 1. Five-stage approach for risk assessment management of NNS in Shetland, adapted from the ecosystem-based risk management framework (Cormier et al. 2013).
FIGURE 2 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)
FIGURE 2: (Left) Maximum clade credibility tree depicting the phylogenetic position of Pristimantis penelopus within the P. ridens series. Numbers on nodes indicate posterior probabilities. Numbers below nodes represent nodal support using the ultrafast bootstrap (see methods). Asterisks indicate nodal support above 95% in both Bayesian and ML methods. (Right) Haplotype network based on 460 bp of the COI region. Numbers of mutational steps are shown on the lines connecting haplotypes. Colors refer to geographic locations shown in Figure 1.
FIGURE 4 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)
FIGURE 4: Potential distribution of Pristimantis penelopus based on ecological niche modeling (red). Yellow dots represents occurrence localities used to calibrate the model. See main text for details.
FIGURE 1 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)
FIGURE 1: Geographic sampling of Pristimantis penelopus. Colored circles indicate sequenced specimens. Different colors represent the populations used in the genetic analysis (see Figure 2 for color codes).
FIGURE 3 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)
FIGURE 3: Phenotypic variation of Pristimantis penelopus across its distribution. Localitites are shown in Appendix 1.
Figure 4 in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 4. Taxa distribution on ships' hulls of the three studied vessels (Esmeralda, USA and ARG tankers) (a) nMDS showing the taxa assemblages in protected vs. exposed areas of the ships' hulls. (b) Taxa richness in exposed and protected areas of the hulls of the three studied vessels. (c) Relationship between the number of taxa found on the hulls and the number of ports visited by each ship.
Figure 6 in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 6. Distribution of the COI haplotypes of Ciona robusta per sample, with their number indicated in the barplot. For each sample, the number of specimens is indicated in parentheses. The correspondence between the haplotypes found in this study, and those referenced in GenBank is given in Table S3.
Figure 2 in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 2. Location of the different areas of the vessel from which the samples were obtained. Protected areas: sea box, rope guard, water discharge holes, top of the rudder and the Kort nozzle. Exposed areas: bilge keel, the helm in general and the rudder. Modified from Sylvester and MacIsaac (2010).
Figure 5 in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 5. Taxa richness recorded in the Talcahuano port on settlement plates made of different types of materials and maintained at different depths for two months total, considering the two periods of time. Values include averages and ± one standard error.
Figure 1 in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 1. The black circle corresponds to the locality where the sampling was carried out in each type of sampling (ships, settlement plates in the port of Talcahuano and natural substrates in the El Manzano pier).
Figure 3. Graphical representation using a in Investigating the risk of non-indigenous species introduction through ship hulls in Chile
Figure 3. Graphical representation using a nMDS based on Bray-Curtis distances, of the taxa assemblages in each sampling type (ships, settlement plates in the Talcahuano port, and natural substrates at El Manzano pier). Stress value is 0.17.
FIGURE 11 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 11 | Bayesian phylogenetic tree of Cambeva species obtained from COI data. The vertical red line shows the coalescent branching process estimated by using the single-threshold model in the GMYC combination 4 (strict clock model vs. a coalescent constant population
FIGURE 7 in Uncertainties and risks in delimiting species of Cambeva (Siluriformes: Trichomycteridae) with single-locus methods and geographically restricted data
FIGURE 7 | Coloration pattern of Cambeva species. (A, B). Cambeva guaraquessaba, UFRGS 24554, 37.0 and 36.9 mm SL, respectively, tributary of Guaraqueçaba River basin, Paranaguá Bay. C–D. Cambeva tupinamba, UFRGS 24550, 63.0 mm SL and 39.4 mm SL, Betari River, Ribeira de Iguape River basin.
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.