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.
360
datasets available to search
ShareScore release 0.7.1
Dataset results
360 results for “Ecology: population”
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 2 Micromorphological differences between Drepanocladus longifolius and D. capillifolius. Alar cells of D. longifolius a, b—from Lyall 47, Falkland Islands. Alar cells of D. capillifolius c―from Nelson 4262, USA, Wyoming (KRAM), d―from isolectotype of Hypnum capillifolium var. fallax Renauld, Canada, Quebec. Scale bar 100 μm
Fig. 1 in Do Antarctic populations represent local or widespread phylogenetic and ecological lineages? Complicated fate of bipolar moss concepts with Drepanocladus longifolius as a case study
Fig. 1 Geographical distribution of the studied accessions and detected genetic lineages corresponding to Drepanocladus longifolius (blue dots) and D. capillifolius (green triangles) according to present circumscription.
Figure 6 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 6. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Acıgöl Lake.
Figure 4 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 4. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Bolluk Lake.
Figure 3 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 3. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Tuz Lake.
Figure 1 in Population and ecological characteristics of the dice snake, Natrix tessellata (Laurenti, 1768), in lower portions of the Vrbanja River (Republic of Srpska, Bosnia and Herzegovina)
Figure 1. Portions of the Vrbanja River watercourse under various anthropogenic influences or without them: a = part with sporadic/weak anthropogenic influence; b = part with intense anthropogenic influence; c = part without direct anthropogenic influence; d = part with anthropogenic influence evident along one and absent on the other bank. (Photo: G. Šukalo).
Figure 2 in Population and ecological characteristics of the dice snake, Natrix tessellata (Laurenti, 1768), in lower portions of the Vrbanja River (Republic of Srpska, Bosnia and Herzegovina)
Figure 2. Correspondent analysis of frequencies of males and females in all 3 age categories, with habitat type, season, and zone as factors.
Fig. 3 in Ecological, parasitological and individual determinants of plasma neopterin levels in a natural mandrill population
Fig. 3. Plasma neopterin concentrations (raw values) in relation to P. Gonderi parasitaemia in adult males.
Fig. 1 in Ecological, parasitological and individual determinants of plasma neopterin levels in a natural mandrill population
Fig. 1. Plasma neopterin concentrations (raw values) in relation to individual sex. The bottom and top of the box respectively represent the 25th and 75th quartiles, and the bold horizontal line the median. Whiskers show the interquartile range. Open squares indicate the mean of the distribution. Comparisons are denoted by "*" if significant.
Fig. 2 in Ecological drivers of helminth infection patterns in the Virunga Massif mountain gorilla population
Fig. 2. Principal component analysis output showing associations between variables and the first two principal components PC1 and PC2. Each variable contribution to principal components and its quality are represented by length of vector and its color, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Ecological drivers of helminth infection patterns in the Virunga Massif mountain gorilla population
Fig. 1. Location of study gorilla groups during the Virunga Massif 2015–2016 surveys (Hickey et al., 2019) expressed as centroids of their 500-m buffered minimum-convex polygon. Vegetation data were adopted according to WWF-Germany and IGCP 2017; boundaries of protected areas were derived from ProtectedP lanet.net database. Map was created using ArcGIS Desktop 10.8 (ESRI, 2020. ArcGIS Desktop: Release 10.8. Redlands, CA: Environmental Systems Research Institute; esri.com).
Fig. 4. Predicted lines from a in Ecological drivers of helminth infection patterns in the Virunga Massif mountain gorilla population
Fig. 4. Predicted lines from a generalized linear mixed model for significant effects of (a) the second principal component (PC2), (b) interaction between the first principal component (PC1) and MCP = area of 500-m buffered minimum convex polygon of detected nest sites per gorilla group, (see Minimum convex polygon calculation and Statistical analyses for details) and (c) interaction between monitoring (habituation) status and MCP on tapeworm infection (egg counts per gram in fecal sample). Principal components were computed from 10 correlated environmental variables (see Material and methods for details).
Fig. 3. Predicted lines from a in Ecological drivers of helminth infection patterns in the Virunga Massif mountain gorilla population
Fig. 3. Predicted lines from a generalized linear mixed model for significant effects of (a) the first (PC1) and (b) second principal component (PC2), (c) Density = mean relative density of gorillas per MCP and (d) MCP = area of 500-m buffered minimum convex polygon of detected nest sites per gorilla group, (see Minimum convex polygon calculation and Statistical analyses for details) on strongylid infection (egg counts per gram in fecal sample). Principal components were computed from 10 correlated environmental variables (see Material and methods for details).
Figure 1 in Ecological impact and population status of non-native bees in a Brazilian urban environment
Figure 1 Bipartite network and non-native bees sampled in Curitiba. a) Bipartite network, non-native plant and bees colored, b) Anthidium manicatum, female; c) Distributional range of A. manicatum (SpeciesLink); d) Melipona scutellaris worker on Calliandra brevipes; e) Distributional range of M. scutellaris (SpeciesLink), natural records in green.
Figure 1 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 1. ContinentalFrancewiththedepartmentMayennehighlighted (A) andhabitatmodelforthe Fire salamander indepartment Mayenne (B). Themap representsthe habitat suitability model Ps = (1/ (1 + exp(−0.0303*percent_forest_cover-0.00562*altitude-0.0299*percent_hedgerow_cover + 1.769))) and was visualized with ILWIS 3.6 software58, available at https://52north.org/software/software-projects/ilwis/. Habitat suitability increases from deep blue with a probability of occurrence of zero to deep red with a probability of occurrence at unity (see colour bar). Prime fire salamander habitats are found at higher altitudes and are forested (in black) or with a dense hedgerow cover. Populations genetically investigated are located in and around the largely deciduous forests Forêt de Bourgon (FB) and Bois de Hermet (BH) and listed in Table 1.The outer geographicalcoordinates of the department are 1.239–0.049W and 47.733–48.568N.
Figure 3 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 3. (A) Clustering of pairwise Fst-values of Kottenforstfire salamanderpopulations (localities K01-K47) with the UPGMA-method. Numbers K01-K27 represent populations in the western section of the forest and K28-K47 represent populationsin the eastern section of the forest. The basal cluster at Fst <0.04 is composed of two groups (shaded) composed of mostly eastern (14/16 = 88%) or mostlywestern localities (14/15 = 93%). Populations breeding in streams are shown by the letter S. Note that populations that join the dendrogram at higher Fst-values are characterized by mostlysmall effectivepopulation sizes (Ňe ≤ 10, indicated by small open dots; X – Ňe not determined). B top panel - Populationsplotted along the firstand second axis of a principal component analysis. Middle panel - Ellipses represent means ± standarddeviation for sevenstream populations (left ellipse) and 40 non-streampopulations (right ellipse). Lower panel - Ellipsesrepresent means ± standard deviation forthe western (left) and eastern (right) sectionof the Kottenforst, forsmall populations (Ňe ≤ 10) shown by interruptedlines andfor larger populations (Ňe> 10) shown by uninterrupted lines. Notethat for the larger populations the ellipses for western and eastern localities do not overlap.
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 analyzed in the framework of allopatric speciation, i.e. a secondary spatial contact of a western pond-breeding lineage and an eastern stream-breeding lineage. The 95% credible cline regions are shown by grey shading. Solid and open round symbolsrepresent larger (Ňe> 10) andsmall populations (Ňe ≤ 10), respectively. Note that the stream-breeding populations that gave the composite genotype its name are all located in the eastern section of the Kottenforst (six data points indicated with a forward slash (/). One 'intermittent stream' in the western section is indicated by a backward slash. Also note the paucity of data at and around the steepest part of the clines. A – loadings on the first PC axis versus geographical distance. The clinecentre is at km 365.3 of the Universal Transverse Mercator (UTM) grid. Cline width is 3952 m. B – frequency of the stream-breeding genotype versus distance (after21). Thecline centre is at UTM km 365.1 and the cline widthis 1108 m. For model details see Supplementary Information VI.
Figure 2 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 2. (A) Clustering of pairwise Fst-values of firesalamander populations (Mayenne localities 1–41) with the UPGMA-method. The basal cluster at Fst <0.010 is mostly composed of forest populations (F, 17/21 = 81%) whereas populationsthat jointhe dendrogramat higher Fst-values are mostly fromthe bocage (B, 14/20 = 70%). At Fst> 0.025 the contribution of the bocage populations is eightout of eight. Notethat populations thatjoin the dendrogram at the highest Fst-values are characterizedby mostly small effective population sizes (Ňe ≤ 10, indicated by small open dots). (B) Populations plotted along the first and second axis of a principal component analysis. The 23 forest populations are shown by small solid round symbols and the solid ellipse represents the mean ± standard deviation. Eighteenpopulations from the bocageare shown by large open round symbols, with the mean ± standard deviation shown bythe widerellipse with the interrupted line.
Image 1 in Ecology and population structure of a terrestrial mycoheterotrophic orchid, Aphyllorchis montana Rchb.f. (Orchidaceae) in Soppinabetta forests of the Western Ghats, India
Image 1. Morphology of Aphyllorchis montana. © P.A. Sinu A - a clump of the orchid; B - a single flower; C - terminal part of an inflorescence with mature capsules.
Fig. 51 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 51. Electrophoretic phenotypes of proteins of several subspecies of C. tigris. Left. ESTD polymorphism in C. t. septentrionalis. The fluorescent patterns were photographed in ultraviolet light. Right. Banding patterns of PGM2 that distinguish septentrionalis (SEP, genotype cc) from punctilinealis (PUN genotype dd), marmoratus (MAR, genotype dd), and aethiops (genotype dd, not illustrated). Arrows indicate sites of sample application; anode is to the right.
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.