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.
2,135
datasets available to search
ShareScore release 0.9.0
Dataset results
2,135 results for “stabling”
Stable isotope differences of polar bears in the Southern Beaufort Sea and Chukchi Sea
<p>The life history, genetic, and habitat use differences between the 2 polar bear<strong> </strong>(Ursus maritimus) subpopulations in Alaska have been used to determine the geographic border separating them, but it has sparked a debate of the correct placement of the border for several years. Recently, the Southern Beaufort Sea (SBS) polar bear subpopulation has declined due to sea ice loss, while the Chukchi Sea (CS) subpopulation appears stable. To provide additional information about potential differences between the SBS and CS subpopulations, such as differences in prey sources, we used stable isotope analysis of carbon and nitrogen from bone collagen of polar bears in these 2 neighboring subpopulations. We analyzed polar bear bones (1954–2019) from 112 individuals. Our purpose was to determine if the SBS and CS subpopulations could be distinguished based on the stable isotope signatures of bone collagen. A difference greater than 1‰ in δ<sup>13</sup>C values suggests a change in carbon sources, such as nearshore to offshore, while a 3‰ change in δ<sup>15</sup>N values equates to a change of about 1 trophic level. Our study showed a significant difference in δ<sup>13</sup>C values (P ≤ 0.001), but not δ<sup>15</sup>N values (P = 0.654) between the CS (−13.0±0.3‰ and 22.0±0.9‰, respectively) and SBS bears (−14.7±1.3‰ and 22.2±1.0‰, respectively). Our findings indicate that the 2 subpopulations are consuming similar high trophic level prey, while feeding in ecosystems with different δ<sup>13</sup>C baselines. We performed a logistic regression analysis (LR) using δ<sup>13</sup>C and δ<sup>15</sup>N values of the polar bears to predict their placement into these 2 subpopulations. Using Icy Cape, AK as the geographical boundary, the LR correctly placed polar bears in their respective subpopulations 82% of the time. Overall accuracy of placement changed to 84% when using the current geographical boundary at Utqiaġvik, AK. Samples collected from the Wainwright, AK region were predicted as 58% CS and 42% SBS polar bears. This suggests that the area between Wainwright and Icy Cape is a polar bear mixing zone that includes bears from both subpopulations. Bone collagen has a long-term, potentially life-long, stable isotope turnover rate, and our findings could be used to determine the association of harvested polar bears to Alaska subpopulations, thus aiding in transboundary harvest quota management.</p>
Supplementary material for "A collection of Constraint Programming models for the three-dimensional stable matching problem with cyclic preferences"
<p>No external dependency is needed to compile the code, but MiniZinc is required to run it. Running the code without any argument will give the instructions.</p>
Towards the Third Millennium Changes in Siberian Triple Tree-Ring Stable Isotopes
<p>Triple (d13C, d18O, d2H) Tree-Ring Stable Isotopes from Siberian subarctic.</p>
Data from: Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail
Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain δD assignments. We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail Rallus limicola, a secretive and declining migratory game bird in North America. Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning δD assignments on these species distribution models yielded comparably high-resolution assignments. Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana. Synthesis and applications. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.
FIGURE 2 in First record of Xyleborus bispinatus (Coleoptera: Curculionidae, Scolytinae) and evidence of stable populations in the Iberian Peninsula
FIGURE 2. Distribution of X. bispinatus in Europe and Iberian Peninsula. A: Distribution in Europe (EPPO 2020 and present data), red points: stablished populations, blue points: non-stablished populations. B: Locations of traps with captures of X. bispinatus in the Iberian Peninsula. C: Distribution of captures and number of specimens of X. bispinatus from 2019– 2021 in the SAMFIX C3 area, named "El Tello and Surroundings".
FIGURE 1 in First record of Xyleborus bispinatus (Coleoptera: Curculionidae, Scolytinae) and evidence of stable populations in the Iberian Peninsula
FIGURE 1. Comparison of dorsal and lateral views of the alien species Xyleborus bispinatus with other Xyleborini from the Iberian Peninsula. A, F: Xyleborus monographus; B, G: Xyleborus bispinatus; C, H: Xyleborus dryographus; D, I: Xyleborus eurygraphus; E, J: Xyleborinus saxesenii.
Data for 'How stable are magnetic pore fabrics?'
<p>Supplementary data for the manuscript; refer to the manuscript for a detailed description</p>
Fig. 8 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 8. Ceroctena (A) (Photo by Gernot Lunz) and Desmoloma (B) (photo by Andreas Kay) showing diagnostic resting posture with their elongate forelegs held forward and hindwings extending laterally beyond their dorsally folded forewings, exposing elongate setae that splay from the costal margin of the hindwings.
Fig. 9 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 9. Larvae of Azenia (Metoponiinae) (A) and Acontiinae (B–H). All last instars. (A) Azenia implora Grote, 1883. (B) 'Azenia' virida (Barnes & McDunnough, 1916). (C) Chamaeclea pernana (Grote, 1881). (D) Heminocloa mirabilis (Neumögen, 1884). (E) Acontia lucida (Hufnagel, 1767). (F) 'Acontia' cretata (Grote & Robinson, 1870); two individuals. (G) Tarache axendra Schaus, 1898. (H) Spragueia leo (Guenée, 1852). A, C, D, E, and H represent the type species for their respective genera; A–D, F, and G represent new life histories. See Supp Document S2 (online only) for localities, hostplant data, and a brief discussion of larval characters that have taxonomic implications. Acontia lucida image courtesy of Paolo Mazzei.
Fig. 3 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 3. Maximum-likelihood tree inferred by RAxML analysis. Clade labels reflect our hypotheses about the extent of the various clades, and the taxonomic changes suggested in Results and Discussion. Lineages shown as being members of various clades may not have as yet been transferred into them. Bootstrap values ≥ 70 are shown at nodes.The scale bar shows estimated number of substitutions per site.The tree continues into Figs. 4–6. Clades are shown in three alternating colors to aid visibility.
Fig. 11 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 11. Comparison of caterpillars of Phosphila turbulenta (A) (photo by Star Jordan) and Cromobergia teichii (B) (photo by Ulf Drechsel). Both are gregarious feeders on species of Smilax (Smilacaceae).
Fig. 2 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 2. Maximum-likelihood tree inferred by RAxML. Lineages that fell within Noctuidae are labeled, and lineages newly added to the dataset of Keegan et al. (2019) are shown in red.
Fig. 7 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 7. Cobubathinae. Cobubatha metaspilaris (A,B). (A) male. (B) male genitalia. Last instar larvae (C–F). (C) Tripudia luxuriosa. (D) Tripudia inquaesita (Barnes and Benjamin, 1924). (E) Cobubatha lixiva. (F) Cobubatha dividua. All larvae shown here lack prolegs on A3 and have reduced prolegs on A4. See Supp. Document S2 (online only) for localities, hostplant data, and a brief discussion of larval characters that have taxonomic implications.
Fig. 10 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 10. Cropiinae adult and larva: Cropia hadenoides (A, C), C. phila (B), and C. connecta (D). (A) Adult male, USNM. (B) Abdomen of male showing A1–A5. (C) Male genitalia with piliform scales removed from one valve, phallus to right. (D) Last instar: note constricted T1 and swollen A8. Abbreviations: al, ascendent lever; apl, anterior pleurite; bp, basal plate; dl, descendent lever; g, gap between sternum A2 and dl; hb, hair brush; ia, inner apodeme of sternum A2; l, lever; lj, lever junction; la, lever's apex; oa, outer apodeme of sternum A2; p, pocket; ppl, posterior pleurite; Sg, Stobbe's gland; sp, spiracle; st, sternum; tg, tergum.
Fig. 1 in Toward a Stable Global Noctuidae (Lepidoptera) Taxonomy
Fig. 1. Comparison of geographic sampling of noctuid taxa between this study and that of Keegan et al. (2019). We use the biogeographic realms as delineated by Udvardy (1975) and further delineated by Mönkkönen (1994): West Nearctic, East Nearctic, Neotropics,West Palearctic, East Palearctic, Afrotropics, Indomalaya, and Australia and Oceania. Bar charts are placed within each of the biogeographic realms, and their height represents the number of taxa whose range extends into the realm (with many taxa represented in two or more realms).
Erebus GNSS timeseries with respect to stable Antarctica
<p>GNSS timeseries for Ross Island / Erebus volcano in an Antarctica stable reference frame. Files contain fields for</p> <p>dec year | dE (mm) | dN (mm) | dU (mm) | sigE (mm) | sigN (mm) | sigU (mm) | Ren | Reu | Rnu | seconds past J2000 | year | month | day | hour | min | second | solution path<br> <br> Details on processing and corrections are explained in</p> <p>Grapenthin, R., P. Kyle, R.C. Aster, M. Angarita, T. Wilson, J. Chaput, Deformation at the open-vent Erebus volcano, Antarctica, from more than 20 years of GNSS Observations, (under consideration for) JVGR.</p> <p> </p> <p> </p>
Supplementary material 1 from: Freire CA, Rios LP, Giareta EP, Castellano GC (2017) Oxygen consumption remains stable while ammonia excretion is reduced upon short time exposure to high salinity in Macrobrachium acanthurus (Caridae: Palaemonidae), a recent freshwater colonizer. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e20173
Figure S1. Cephalothorax of Macrobrachium acanthurus exposed to salinities 0 (control), 10, 20, and 30 psu for 4 or 8 hours. : Data type: JPEG image file
Figure 5 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 5. The Wallich Catalogue. Screenshot of Wallich Catalogue hosted by Royal Botanic Garden Edinburgh showing popup for stable URI containing information hosted at Botanic Garden and Botanical Museum Berlin-Dahlem.
Figure 4 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 4. The CETAF Specimen URI Tester provides for any given Specimen URI an overview of the redirection process as well as a preview of machine-readable and human-readable data associated with the URI.
Figure 3 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 3. CETAF stable HTTP URIs in the GBIF data portal. The Global Biodiversity Information Facility (GBIF) publishes CETAF stable HTTP URIs via their data portal.
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.