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.
19,493
datasets available to search
ShareScore release 0.9.0
Dataset results
19,493 results for “Populism”
Figure 1 in Mammals under a colony of great cormorants: population structure and body condition of yellow-necked mice
Figure 1. Location of Zones A–E in the colony of great cormorants near Juodkrantė, West Lithuania, 2011–2013.
Figure 2 in Biodiversity and population dynamics of litter-dwelling cockroaches in Belezma National Park (Algeria)
Figure 2. Monthly population dynamics of forest cockroach species sampled between March 2013 and July 2014 in different forests of Belezma National Park (Northeast Algeria).
Figure 2 in Developmental differences of local populations of alfalfa weevil (Hypera postica) (Coleoptera: Curculionidae)
Figure 2. Age vs. immature stage survival rates of Iranian population of Hypera postica (Hamedan, Karaj, Tuyserkan, Jovein).
Figure 4 in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 4. Maximum clade credibility trees for three data sets obtained by BI analysis in BEAST v1.8.0. MCC genealogy based on a Yule speciation process, summarized from the output of a Markov chain Monte Carlo chain run for 10 million iterations and sampled every 1000 iterations.
Figure 3 in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 3. The ML tree for myoglobin gene (in blue) and for CHD-Z gene (in red); both trees are scaled in substitutions and the length of each tree and different topologies indicate that both of them are improper for phylogeny using a single gene.
Figure 1. Sex distribution for A. arundinaceus, A in CHD genes: a reliable marker for bird populations and phylogenetic analysis? Case study of the superfamily Sylvioidea (Aves: Passeriformes)
Figure 1. Sex distribution for A. arundinaceus, A. scirpaceus, and A. schoenobaenus, shown by sampling date.
Figure 2 in Declining populations of Chukar Partridge (Alectoris chukar) in Bulgaria
Figure 2. Distribution of the Chukar Partridge (Alectoris chukar) in Bulgaria since 1990. Background color of square: gray – nesting sites during 1990–2005 (Iankov, 2007); shaded square – protected zones, Natura 2000.
Figure 1 in Declining populations of Chukar Partridge (Alectoris chukar) in Bulgaria
Figure 1. Study area and planned transects to determine the number of breeding pairs of Chukar Partridge (Alectoris chukar) in Bulgaria.
Figure 1 in Taxonomic status of a newly described island population of the smooth newt Lissotriton vulgaris (Linnaeus, 1758) from Bozcaada (Çanakkale, Turkey)
Figure 1. Geographic positions of the smooth newt populations used. Locality information is given in Table 1. Colors correspond to the various major clades (named after Babik et al., 2005; Pabijan et al., 2015). The three studied populations are given with a different symbol (star).
Figure 2 in Taxonomic status of a newly described island population of the smooth newt Lissotriton vulgaris (Linnaeus, 1758) from Bozcaada (Çanakkale, Turkey)
Figure 2. Phylogenetic relationships among studied smooth newt populations based on Bayesian Inference of mtDNA sequences (16S rRNA and ND4). Node posterior probabilities> 0.90 are given with asterisks. Population numbers correspond to Figure 1 and Table 1. The studied populations are given by their full names.
Figure S1 in mtDNA diversity in a rabbit population from Sicily (Italy)
Figure S1. Multiple sequence alignment of Oryctolagus cuniculus cyt b mtDNA from different individuals. GenBank accession numbers are indicated in Table 1. The single enzyme restriction sites are highlighted in colors/gray.
Figure S2 in mtDNA diversity in a rabbit population from Sicily (Italy)
Figure S2. Shading of the multiple alignment of Oryctolagus cuniculus cyt b mtDNA sequences from different individuals shown in Figure S1. Identical nucleotides are indicated.
Figure 2 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 2. Neighbor-joining haplotype network based on frequencies showing relationships between concatenated MT-CO1 and MTATP6 sequences of fur farm and wild red foxes.
Figure 1 in High genetic distinctiveness of wild and farm fox (Vulpes vulpes L.) populations in Poland: evidence from mitochondrial DNA analysis
Figure 1. Distribution of sampling sites of wild and fur-farm red foxes in Poland: light gray areas represent the provinces from which samples of wild foxes were taken; the darker gray area indicated with a black circle shows the location of investigated fox farms; the numbers represent fox fur-farms in particular voivodeships.
Figure 3 in Seasonal pattern of population dynamics, spawning activities, and diet composition of sardine (Sardina pilchardus Walbaum) in the eastern Adriatic Sea
Figure 3. Alternations of the mean monthly gonadosomatic index (GSI) and values of gonad masses (Wg, g) in sardines collected by commercial purse seiners during 2013 (February–November 2013) on Croatian fishing grounds.
Figure 2. Maximum-likelihood trees for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 2. Maximum-likelihood trees for J. blanfordi mtDNA haplotypes in different datasets for cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp). The numbers next to the nodes indicate the bootstrap (>50%) and posterior probability (>0.50) values obtained by maximum-likelihood and Bayesian inference, respectively. The trees are rooted with haplotypes from J. orientalis and J. jaculus. See Table 1 and Figure 1 for the haplotype designations and corresponding localities.
Figure 1 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 1. Geographical locations of J. blanfordi samples included in the present study. The locality numbers correspond to those in Table 1. The shaded zones in the map correspond to the distribution range of Blanford's jerboa (Shenbrot and Molur, 2008).
Figure 3. Median-joining networks for J in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 3. Median-joining networks for J. blanfordi mitochondrial DNA haplotypes in the different datasets for cyt b (1110 bp), COI (618 bp) and COI + cyt b (313 bp + 284 bp). The numbers of mutations (greater than 1) between the haplotypes are indicated near the branches and circle sizes are proportional to the number of similar haplotypes. See Table 1 for the haplotype designations.
Figure 4 in Mitochondrial evidence indicates a shallow phylogeographic structure for Jaculus blanfordi (Murray, 1884) populations (Rodentia: Dipodidae)
Figure 4. Observed and expected mismatch distribution of haplotypes for the cyt b (1110 bp), COI (618 bp), and COI + cyt b (313 bp + 284 bp) datasets.
Fig. 2 in Seasonal population abundance of the assembly of solitary wasps and bees (Hymenoptera) according to land-use in Maranhão state, Brazil
Fig. 2. Abundance of solitary bees according to land-use (a), month (b) and interactions between land-use and month (c). Repeated measures ANOVA followed by post hoc Fisher LSD tests (P <0.05). Means ± SE are given.
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.