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.
48
datasets available to search
ShareScore release 0.7.1
Dataset results
48 results for “Mustela”
Dataset for: Snow limits polecat (Mustela putorius) distribution in Sweden
<p>Many species show range expansions or contractions due to climate-change-induced changes in habitat suitability. In cold climates, many species that are limited by snow are showing range expansions due to reduced winter severity. The European polecat (<em>Mustela putorius</em>) occurs over large parts of Europe with its northern range limit in southern Fennoscandia. However, it is to date unknown what factors limit polecat distribution. We thus investigated whether climate or land-use variables are more important in determining the habitat suitability for polecats in Sweden. We hypothesized that 1) climatic factors, especially the yearly number of snow days, drive habitat suitability for polecats, and that, 2) as the number of snow days is predicted to decline in the near future, habitat suitability in northern Sweden will increase. We used a combination of sightings data and a selection of national maps of environmental factors to test these hypotheses using MaxEnt models. We also used maps of future climate predictions (2021–2050 and 2063–2098) to predict future habitat suitability. The number of snow days was the most important factor, negatively determining habitat suitability for polecats, as expected. Consequently, the predictions showed an increase in suitable habitat both in the current distribution range and in northern Sweden, especially along the coast of the Baltic Sea. Our results suggest that the polecat distribution is limited by snow and that reduced snow cover will likely result in a northward range expansion. However, the exact mechanisms for how snow limits polecats are still poorly understood. Consequently, we expect the Scandinavian polecat population to increase in numbers, in contrast to many populations elsewhere in Europe, where numbers are declining. Due to polecat predation, the expansion of the species might have cascading effects on other wildlife populations.</p>
Fig. 1 in Morphometric Criteria For Distinguishing Species And Age-Cohorts Of Ermine (Mustela Erminea) And Long-Tailed Weasel (M. Frenata)
Fig. 1. Distribution of ermine (left) and long-tailed weasel (right) species in North America (adapted from FAGERSTONE 1987). Inset shows long-tailed weasel distribution in Mexico and Central America;
Fig. 3 in Morphological and ontogenetic characteristics of Miridex putorii (Acariformes: Demodecidae), a new genus and species of skin mite specific to the European polecat Mustela putorius
Fig. 3. Miridex putorii gen. nov., sp. nov. A, female, ventral view; B, male, ventral view; C, pharate male, deutonymph with visible male inside, a. anterior end of male gnathosoma, b. posterior end of male opisthosoma; D, pharate female, deutonymph with visible female inside, c. anterior end of female gnathosoma; d. posterior end of female opisthosoma.
Fig. 6 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 6. Marginal effects plot of the gamma generalised linear model of the Zeroaltered gamma model, predicting kidney fat weight as a function of snout-vent length and sex of the host. The colour of the 95% confidence interval corresponds to the sex of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 3). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 3. Marginal effects plot of a logistic regression model predicting the presence (a) of T. acutum as a function of sex of the host and the presence/absence of S. nasicola, the other parasite, (b) of S. nasciola as a function of sex of the host and (c) of S. nasciola as a function of age of the host and the presence/absence of T. acutum. The 95% confidence intervals are shown as error bars or in grey. The plots is based on the most parsimonious model identified after model selection (see Table 1).
Fig. 5 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 5. Marginal effects plot of the zero hurdle model of the Zero-altered gamma model, predicting the presence of kidney fat as a function of (a) snout-vent length, (b) abundance of T. acutum, (c) abundance of S. nasicola and (d) sex of the host. The 95% confidence intervals are shown in grey. The plot is based on the most parsimonious model identified after model selection (see Table 3).
Fig. 2 in Morphological and ontogenetic characteristics of Miridex putorii (Acariformes: Demodecidae), a new genus and species of skin mite specific to the European polecat Mustela putorius
Fig. 2. Miridex putorii gen. nov., sp. nov., egg and immature stages. A, egg; B, larva, ventral view, a. vimineous seta, b. leg with claws, c. ventral scutum; C, protonymph, ventral view; D, deutonymph, ventral view; E, F, G, claw, various views; H, supracoxal spine of deutonymph, arrow indicate the orientation of left spine as viewed on the gnathosoma.
Fig. 1 in Morphological and ontogenetic characteristics of Miridex putorii (Acariformes: Demodecidae), a new genus and species of skin mite specific to the European polecat Mustela putorius
Fig. 1. Miridex putorii gen. nov., sp. nov. A, male, ventral view; B, male, dorsal view, a. aedeagus; C, female, ventral view, b. vulva; D, female, dorsal view; E, gnathosoma, male, dorsal view, c. seta dG, d. seta dF, e. supracoxal spine (seta elc.p), f. genital opening, g. anterior end of aedeagus, h. membrane capitulum; F, gnathosoma, male, dorsal view, i. everted anterior part of aedeagus; G, gnathosoma, male, ventral view, j. spines on palps, k. seta v"F, l. pharyngeal bulb, m. subgnathosomal seta (seta n); H, claw on the leg.
Fig. 2 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 2. Geographic origin of the skulls of the European polecat (Mustela putorius) analysed in this study. The size of the pie charts is indicative of the number of skulls analysed per locality and the contents of the pie charts are indicative of the infestation status of the corresponding animals. SKJ: Skrjabingylus nasicola, TRO: Troglotrema acutum. The numbers are indicative of the major landscape unit of origin of the samples.
Fig. 1 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 1. Dorsal views of European polecat (Mustela putorius) skulls with or without infestations of the cranial helminths Skrjabingylus nasicola and Troglotrema acutum. (a) Skull of a non-infested one-year-old male. (b) Skull of a threeyear-old male with lesions in the frontal bone resulting from an infestation with T. acutum. (c) Lesions in both postorbital processes and the rear of the frontal bone of a skull of a two-year-old male infested with both parasites. (d) Lesion in the right postorbital process of a skull of a two-year-old male infested with both parasites. (e) Skull of a three-year-old female with lesions in both postorbital processes resulting from an infestation with S. nasicola. (f) Lesions in both postorbital processes and the frontal bone of a skull of a four-year-old female infested with both parasites. (g) Skull of a two-year-old female infested with T. acutum that is characterised by large perforations in the frontal bone and exposure of the frontal sinus and the nasal cavity. (h) Skull of a four-year-old male with perforations in and distensions of the frontal bone resulting from an infestation with T. acutum. (i) Skull of a five-year-old male characterised by multiple perforations and distended and sponge-like appearance of the bones across the whole of the frontal dorsal cranium.
Fig. 4 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 4. Marginal effects plot of logistic regression model predicting the presence of skull damage as a function of sex of the host, the abundance of S. nasciola and a selection of T. acutum abundances. The colour of the 95% confidence interval corresponds to the T. acutum abundance of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 2). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Linked collectors and determiners for: Rediscovery of the holotypes of Mustela africana stolzmanni Taczanowski, 1881 (Carnivora: Mustelidae) and Cuniculus taczanowskii Stolzmann, 1885 (Rodentia: Cuniculidae) at the Museum and Institute of Zoology Polish Academy of Sciences in Warsaw, Poland.
Natural history specimen data linked to collectors and determiners held within, "Rediscovery of the holotypes of Mustela africana stolzmanni Taczanowski, 1881 (Carnivora: Mustelidae) and Cuniculus taczanowskii Stolzmann, 1885 (Rodentia: Cuniculidae) at the Museum and Institute of Zoology Polish Academy of Sciences in Warsaw, Poland". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/27f33714-c0e8-423e-afda-97265b21193a">https://bionomia.net/dataset/27f33714-c0e8-423e-afda-97265b21193a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/27f33714-c0e8-423e-afda-97265b21193a">https://gbif.org/dataset/27f33714-c0e8-423e-afda-97265b21193a</a>. Formatted as a Frictionless Data package.
Fig. 2 in Mustela africana (Carnivora: Mustelidae)
Fig. 2.—Dorsal, ventral, and lateral views of skull and lateral view of mandible of an young adult male Mustela africana (American Museum of Natural History [AMNH] 37475) from a zoological garden in Para, Brazil. Basilar length of the skull is 47.8 mm.
Fig. 3 in Mustela africana (Carnivora: Mustelidae)
Fig. 3.—Geographic distribution of records of Mustela africana and its distribution according to the World Conservation Union (stipple—Emmons and Helgen 2008). Plotting symbols are: plus signs, M. a. africana; dotted circles, M. a. stolzmanni, question mark, M. cf. africana. Locality codes are: a, Rio Jatún Yacu (Museum of Comparative Zoology, Harvard University [MCZ] 36324); b, Maracacuera–Icoaraci (Pine 1973); c, Zoological Garden (American Museum of Natural History [AMNH] 37475); d, Murutucú, Capinsal (British Museum of Natural History [BMNH] 26.1.8.10); e, Para´ (British Museum of Natural History [BMNH] 5.1.25.1); f, Marco de Legoa, near to the city (Goeldi 1898); g, Puyo (Orcés 1944); h, Belém, Ramal de Pinheiro (Pine 1973); I, Irituía (Pine 1973); j, Rio Tocantins, Cameta´(Museum of Comparative Zoology, Harvard University [MCZ] 30802); k, Belterra, a rubber plantation 25 km S, 26 km W Santarém (Izor and Peterson 1985); l, Tauarí, Rio Tapajos, about 30 km south of Belterra (Izor and Peterson 1985); m, Alto Amazonas, Río Marañón (American Museum of Natural History [AMNH] 98552); n, Yurimaguas (Taczanowski 1881); o, Moyobamba (British Museum of Natural History [BMNH] 24.12.12.24); p, Municipality of Humaita´, west of the Rio Madeira (Ferrari and Lopes 1992); q, Chanchamayo (National Museum of Natural History, Smithsonian Institution [USNM] 255119); r, Valle del Río Perené (American Museum of Natural History [AMNH] 61813); s, Rio Jurua´, Cruzeiro do Sol (Field Museum of Natural History [FMNH] 106488).
Fig. 1.—A young adult male Mustela africana from a in Mustela africana (Carnivora: Mustelidae)
Fig. 1.—A young adult male Mustela africana from a zoological garden in Pará, Brazil (American Museum of Natural History [AMNH] 37475). Total length (from the skin tag) is 548 mm. Photograph by P. M. Velazco, used with permission.
Dataset for: Snow limits polecat (Mustela putorius) distribution in Sweden
Open the record for dataset details and reuse information.
Mustela vison (Mustelidae) - whole organism
Image of Mustela vison (Mustelidae) - whole organism
Twenty-five metagenome assembled genomes recovered from the gut microbiome of the domestic ferret, Mustela putorius
<p>This dataset is composed of 25 unique metagenome assembled genomes (MAGs) recovered from the gut microbiome of three domestic ferrets (<em>Mustela putorius</em>). Details on both MAG and host ferret metadata, as well as information on sample collection, DNA sequencing, and bioinformatic processing can be found in the American Society for Microbiology Resource Announcement by Amundson et al. (in prep). </p>
Camera trap image of Mustela putorius (2018-08-20T09:59:09Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Camera trap image of Mustela putorius (2018-08-11T11:43:23Z)
Camera Trap Image taken in <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
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.