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.
2,775
datasets available to search
ShareScore release 0.7.1
Dataset results
2,775 results for “G×E”
F I G U R E 3 in Dispersal in dendritic networks: Ecological consequences on the spatial distribution of population densities
F I G U R E 3 Fit of theoretical expectations to the distribution of Tetrahymena population densities depending on network type (linear versus dendritic networks), network position (central versus inner versus outer nodes) for day 15. Violin plots show the overall distribution of the data, the white point gives the median, and the solid black line the 25% and 75% percentiles, respectively. Given the network structure (Figure 1) and the three replicates per landscape, distributions include N = 18 (9, 3) measurements for outer (inner, central) nodes of dendritic networks and N = 6 (6, 18) measurements for outer (inner, central) nodes of linear landscapes. Horizontal red and blue lines visualise fits of the theoretically expected distribution of population densities to data from the dendritic and linear networks assuming network specific dispersal rates (d) and carrying capacities (K). White squares show fits of the theoretically expected distribution of population densities assuming the same d and K values for both network types. Shaded areas, respectively, error bars, show 95% confidence intervals of the fits. [Colour figure can be viewed at wileyonlinelibrary.com]
F I G U R E 2 in Dispersal in dendritic networks: Ecological consequences on the spatial distribution of population densities
F I G U R E 2 Distribution of Tetrahymena population densities depending on network type (linear versus dendritic networks), network position (central versus inner versus outer nodes) and time (days 0, 8 and 15). Violin plots show the overall distribution of the data, the white point gives the median, and the solid black line the 25% and 75% percentiles, respectively. Given the network structure (Figure 1) and the three replicates per landscape, distributions include N = 18 (9, 3) measurements for outer (inner, central) nodes of dendritic networks and N = 6 (6, 18) measurements for outer (inner, central) nodes of linear landscapes. Horizontal lines visualise back-transformed parameter estimates of the averaged linear mixed effects model and shaded areas show 95% confidence intervals (see Table 2 for model selection results). [Colour figure can be viewed at wileyonlinelibrary.com]
F I G U R E 1 in Dispersal in dendritic networks: Ecological consequences on the spatial distribution of population densities
F I G U R E 1 Median population densities (in thousands of individuals) of Tetrahymena in corresponding dendritic (a) and linear (b) landscapes at the end of the experiment (day 15) and across the three replicate landscapes. In these landscapes, outer nodes are labelled "O," inner and central nodes are labelled "I" and "C", respectively. [Colour figure can be viewed at wileyonlinelibrary.com]
F I G U R E 5 in Dispersal in dendritic networks: Ecological consequences on the spatial distribution of population densities
F I G U R E 5 Euclidean distances moved by Tetrahymena individuals depending on network type (linear versus dendritic networks), network position (central versus inner versus outer nodes) and time (days 0, 8 and 15). Violin plots show the overall distribution of the data, the white point gives the median, and the solid black line the 25% and 75% percentiles, respectively. Given the network structure (Figure 1) and the three replicates per landscape distributions include N = 18 (9, 3) measurements for outer (inner, central) nodes of dendritic networks and N = 6 (6, 18) measurements for outer (inner, central) nodes of linear landscapes. Horizontal lines visualise back-transformed parameter estimates of the averaged linear mixed effects model and shaded areas show 95% confidence intervals (see Table 3 for model selection results). [Colour figure can be viewed at wileyonlinelibrary.com]
FIGURE 2. a, c, e, g in Two new species and key to the salina group of the genus Rhagovelia Mayr, 1865 (Hemiptera: Heteroptera: Veliidae) from Colombia
FIGURE 2. a, c, e, g) Rhagovelia nuqui sp. nov.; b, d, f, h) Rhagovelia tintipan sp. nov.; a–b) Antennomere I, male; c–d) Fore leg, lateral view male; e–f) Hind trochanter, femur, and base of tibia; g–h) Pronotum.
Supplementary material 1 from: Galasso G, Domina G, Alessandrini A, Ardenghi NMG, Bacchetta G, Ballelli S, Bartolucci F, Brundu G, Buono S, Busnardo G, Calvia G, Capece P, D'Antraccoli M, Di Nuzzo L, Fanfarillo E, Ferretti G, Guarino R, Iamonico D, Iberite M, Latini M, Lazzaro L, Lonati M, Lozano V, Magrini S, Mei G, Mereu G, Moro A, Mugnai M, Nicolella G, Nimis PL, Olivieri Н, Pennesi R, Peruzzi L, Podda L, Probo M, Prosser F, Ravetto Enri S, Roma-Marzio F, Ruggero A, Scafidi F, Stinca A, Nepi C (2018) Notulae to the Italian alien vascular flora: 6. Italian Botanist 6: 65-90. https://doi.org/10.3897/italianbotanist.6.30560
Supplementary data : Explanation note: 1. Nomenclature updates; 2. Note updates; 3. Distribution updates; 4. Synonyms, misapplied or included names.
Supplementary material 7 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
This document contains an annotated set of data quality checks that participants report they use when evaluating and cleaning datasets. These items outline how participants are judging if the data suits their purpose.
Supplementary material 3 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
The informed consent request and workshop survey questions given to participants after the workshop each day for 4 consecutive days.
Supplementary material 2 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
This document shows just the questions we asked the applicants who applied to participate in this Georeferencing for Research Use workshop. We used a Google Form to deliver these questions and collect responses. It is both an application and serves as our pre-workshop survey.
Supplementary material 8 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Summary of desired future workshop topics that were listed by participants on the last day of the workshop.
Supplementary material 6 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Summary of topics to be covered in an ideal workshop as identified by workshop applicants in the workshop call for participation. We incorporated as many as possible that also fit our scope.
Supplementary material 5 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Questions we asked in the Georeferencing for Research Follow Up Survey done 3 months after the workshop.
Supplementary material 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Three months after the workshop, participants were surveyed to assess what workshop-related knowledge and materials were being used and disseminated to others. This document summarized data collected in this particular survey.
Supplementary material 1 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449
Darwin Core Archive file downloaded from the iDigBio portal for use in the Georeferencing for Research Use workshop. Total 25,429 records, accessed on 2016-08-29. Collections contributing to the record set are listed in the archive records.citation.txt file. Dataset GUID: a69d1541-4726-465d-84ad-50c7ed556eee
PLATE 1. Glabroculus elvira spp., upperside. 1—G. e. suadela ssp. n in A new subspecies of Glabroculus elvira (Eversmann, 1854) (Lepidoptera, Lycaenidae) from the Dzhungarian Gobi desert, Mongolia
PLATE 1. Glabroculus elvira spp., upperside. 1—G. e. suadela ssp. n., holotype, ♂, SW Mongolia, Khovd aimak, Dzhungarian Gobi des., Uvhod-Ula Mt., 1200 m.a.s.l., 26.06.2018, 45°47' N, 91°08' E, S. Churkin leg.; 2, 3—G. e. suadela ssp. n., paratype, ♂, same data as 1; 4, 5—G. e. elvira, ♂, Kazakhstan, Kzyl-Orda reg., Syr-Darya valley, Dzhosaly [Dzhusaly] v., 12.06.2000, Perepechaenko V. leg. 6—G. e. elvira, ♂, Kazakhstan, Ily r. valley, 20 km N Chundzha v., 29.06.1999, S. Churkin leg.; 7, 8, 9—G. e. suadela ssp. n., paratype, ♀, same data as 1; 10, 11 —G. e. elvira, ♀, same data as 4; 12—G. e. elvira, ♀, same data as 6.
PLATE 2. Glabroculus elvira ssp., underside. 1—G. e. suadela ssp. n in A new subspecies of Glabroculus elvira (Eversmann, 1854) (Lepidoptera, Lycaenidae) from the Dzhungarian Gobi desert, Mongolia
PLATE 2. Glabroculus elvira ssp., underside. 1—G. e. suadela ssp. n., holotype, ♂, SW Mongolia, Khovd aimak, Dzhungarian Gobi des., Uvhod-Ula Mt., 1200 m.a.s.l., 26.06.2018, 45°47' N, 91°08' E, S. Churkin leg.; 2, 3—G. e. suadela ssp. n., paratype, ♂, same data as 1; 4, 5—G. e. elvira, ♂, Kazakhstan, Kzyl-Orda reg., Syr-Darya valley, Dzhosaly [Dzhusaly] v., 12.06.2000, Perepechaenko V. leg.; 6—G. e. elvira, ♂, Kazakhstan, Ily r. valley, 20 km N Chundzha v., 29.06.1999, S. Churkin leg.; 7, 8, 9—G. e. suadela ssp. n., paratype, ♀, same data as 1; 10, 11 —G. e. elvira, ♀, same data as 4; 12—G. e. elvira, ♀, same data as 6.
FIGURE 1A, E–G in Newly recorded leafhoppers of the subfamily Cicadellinae (Hemiptera: Cicadellidae) with description of a new species from Pakistan
FIGURE 1A, E–G. Atkinsoniella opponens (Walker, 1851) n. rec. A. habitus, dorsal view E. pygofer, lateral view F. connective, style, subgenital plates and valve, dorsal view G. aedeagus, lateral view; B, H–I. Atkinsoniella thalia (Distant, 1918) n. rec. B. habitus, dorsal view H. connective, style, subgenital plates and valve, dorsal view I. aedeagus, lateral view; C. Cofana unimaculata (Signoret, 1854); D. Cofana spectra (Distant, 1908).
FIGURE 126. Himantigera nigrifemorata, BMNH types. A–E. Male holotype. A. Habitus, dorsal. B. Habitus, lateral. C. Head, frontal view. D. Wing. E. Labels. F–I. Female lectotype. F. Habitus, dorsal. G. Habitus, lateral. H. Head, frontal view. I. Labels. J–L. Female paralectotype. J. Habitus, dorsal. K. Habitus, lateral. L in Taxonomic revision of the Neotropical genus Himantigera James, 1982 (Diptera: Stratiomyidae: Sarginae), including the description of two new species and a key to the known species
FIGURE 126. Himantigera nigrifemorata, BMNH types. A–E. Male holotype. A. Habitus, dorsal. B. Habitus, lateral. C. Head, frontal view. D. Wing. E. Labels. F–I. Female lectotype. F. Habitus, dorsal. G. Habitus, lateral. H. Head, frontal view. I. Labels. J–L. Female paralectotype. J. Habitus, dorsal. K. Habitus, lateral. L. Labels.
FIGURE 2. Lancets. A. Gilpinia baiyinaobaoa. B. G. fennica. C. G. virens. D. G. massoniana. E. G. yongrenica. F. G. pinicola. G. G. tohi. H. G in Gilpinia infuscalae Wang & Wei, sp. nov. and a key to the Chinese Gilpinia species (Hymenoptera: Diprionidae)
FIGURE 2. Lancets. A. Gilpinia baiyinaobaoa. B. G. fennica. C. G. virens. D. G. massoniana. E. G. yongrenica. F. G. pinicola. G. G. tohi. H. G. infuscalae sp. nov. I. G. tabulaeformis. J. G. hebedentata. K. G. jinghongensis. L. G. jingxii. M. G. lipuensis. N. G. nigra. A–G, I–M: Drawings of lancet by Xiao (1992), Xiao et al. (1992) and Xu (1997); N, photo by DRS.
FIGURE 9. Limnoria nagatai Holotype male TOYACr-23340. A, pereopod 1. B, pereopod 2. C, pereopod 3. D, pereopod 4. E, pereopod 5. F, pereopod 6. G, pereopod 7 in Description of new species of algal-boring Limnoria (Crustacea, Isopoda, Limnoriidae) from Japan and redescription of Limnoria segnoides Menzies, 1957 and L. nagatai Nunomura, 2012
FIGURE 9. Limnoria nagatai Holotype male TOYACr-23340. A, pereopod 1. B, pereopod 2. C, pereopod 3. D, pereopod 4. E, pereopod 5. F, pereopod 6. G, pereopod 7. Scale bars: A–G = 0.1 mm.
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.