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.
18,621
datasets available to search
ShareScore release 0.9.0
Dataset results
18,621 results for “development;”
FIGURE 13 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 13. Eriocheir sinensis, ZII, first maxilliped, CLSM images with Drishti processing. (A) whole appendage, applying "large images" option with a scanned area of 1×2 fields for image stitching, (B) endopod, (C) basis, (D) exopod with 6 natatory setae, applying "large images" option with a scanned area of 1×2 fields for image stitching. Objective: A, D = 20× dry; B-C = 40× oil immersion. Scale bars A, D = 200 µm; B-C = 100 µm.
FIGURE 15 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 15. Eriocheir sinensis, ZII, pleon and telson, CLSM images with Drishti processing. (A) dorsal view of pleon, image merged using Adobe Photoshop, (B) lateral view of pleon and telson, applying "large images" option with a scanned area of 1×2 fields for image stitching, (C) pleomere 1 with a small dorsal medial seta, (D) dorsal view of telson. Objective: A, C = 40× oil immersion; B, D = 20× dry. Scale bars = 200 µm.
FIGURE 23 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 23. Eriocheir sinensis, ZIV, CLSM images with Drishti processing. (A) anterior view of carapace, (B) dorsal spine with 2 pairs of setae, applying "large images" option with a scanned area of 1×3 fields for image stitching. Objective: 20× dry. Scale bars = 200 µm.
FIGURE 11 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 11. Eriocheir sinensis, ZII, CLSM images with Drishti processing. (A) antennule, image merged using Adobe Photoshop, (B) antenna with two exopodal setae, (C) maxillule. Objective: 40× oil immersion. Scale bars A–B = 50 µm; C = 100 µm.
FIGURE 18 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 18. Eriocheir sinensis, ZIII, CLSM images with Drishti processing. (A) mandible, (B) maxillule, applying "large images" option with a scanned area of 1×2 fields for image stitching. Objective: 40× oil immersion. Scale bars = 100 µm.
FIGURE 7 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 7. Eriocheir sinensis, ZI, second maxilliped, CLSM images with Drishti processing. (A) whole appendage, (B) coxa, basis and endopod, applying "large images" option with a scanned area of 1×2 fields for image stitching, (C) distal endopod article. Objective: A = 20× dry; B = 40× oil immersion; C = 60× oil immersion. Scale bars A-B = 100 µm; C = 50 µm.
FIGURE 20 in Re-description of Chinese mitten crab Eriocheir sinensis H. Milne Edwards, 1853 (Crustacea: Brachyura: Grapsoidea: Varunidae) zoeal development using confocal laser scanning microscopy
FIGURE 20. Eriocheir sinensis, ZIII, first maxilliped, CLSM images with Drishti processing. (A) coxa and basis, image merged using VGStudio MAX, (B) exopod with 8 natatory setae, applying "large images" option with a scanned area of 1×2 fields for image stitching, (C) endopod, image merged using VGStudio MAX. Objective: A, C = 40× oil immersion; B = 20× dry. Scale bars A, C = 100 µm; B = 200 µm.
Use of digital technologies for the development of algebraic thinking
<p>Data analyzed in this model was obtained from the experiment of a master's degree work concern of use of digital technologies for the development of algebraic thinking. The tests is carried out with two groups of 8th grade in an educational institution program of the Atlántico Department - Colombia.</p>
Dataset for "The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub"
<p>Supplementary data to "The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub" accepted for publication at MSR 2020.</p> <p>The data included in this package were used to conduct analyses to characterize the AI & ML software development community hosted on GitHub. Please read the paper for a full understanding of what data was collected and how it was used.</p> <p>Questions and comments can be directed to Danielle Gonzalez dng2551@rit.edu</p>
FIGURES 7–10 in Two new species of Silba (Diptera; Lonchaeidae) from Japan with unusual larval development sites
FIGURES 7–10. Silba mitsuii sp. nov. 7. Epandrium and associated features lateral view. 8. Same, ventral view. 9. Surstylus, inner view. 10. Phallus, lateral view.
Supplementary material 2 from: Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020) Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889
Use cases were collected using a number of methods to maximise responses. Lead authors of papers published using data accessed via the Atlas of Living Australia (ALA) were contacted and asked to contribute their research data use cases, and a number of papers describing fitness for use determination were sent to the ALA Data Quality group. Fitness for use and quality check information from these papers were extracted and transferred to the use case library. These are the results of those surveys.
Supplementary material 4 from: Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020) Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889
Description and specifications for the tests following the conventions of the Fitness For Use Framework. This supplement is a copy of https://github.com/tdwg/bdq/blob/master/tg2/core/TG2_tests.csv as of commit 941e774 2019-Aug-20.
Supplementary material 3 from: Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020) Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889
Counts of occurrence records in 2019-04-15 snapshot of GBIF-mediated data that fit the three categories of expected responses for each of the event date-related validation tests.
Supplementary material 1 from: Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020) Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889
Vocabulary of Terms used for the TDWG Task Group on Data Quality Tests and Assertions, plus key additional terms from the Use Case Study. Ther terms are consistent with the terms used in the Fitness for Use Framework (Veiga et al. 2017)
Development of a novel system of screening for hypoxia tolerance in barley
<p>Dataset containing the growth of barley under hypoxic conditions, controls, controls using rye, RNA yields and gene expression</p>
Development and validation of an environmental fragility index (EFI) for the neotropical savannah biome. Supplementary Material 2.
<p>Supplementary Material 2: scatterplots of lrbs vs index component variables</p>
Development of a benthic macroinvertebrate multimetric index (MMI) for Neotropical Savanna headwater streams. Appendix C
<p>Appendix C. Metric Screening<br> </p>
FIGURE 12. Peltogaster reticulata, nauplius V. A in The parasitic barnacle Peltogaster reticulata Shiino, 1943 (Rhizocephala, Peltogastridae) fromRussian watersof the Sea of Japan:morphological description molecular identification and complete larval development
FIGURE 12. Peltogaster reticulata, nauplius V. A, ventral view; B, head shield setae; C, frontolateral horn; D, hind body; E, antennula. Cf, cuticular fringes; su, suture; 1–2a, head shield setae; 5, 6, antennular setae.
FIGURE 13. Peltogaster reticulata, cypris larva. A in The parasitic barnacle Peltogaster reticulata Shiino, 1943 (Rhizocephala, Peltogastridae) fromRussian watersof the Sea of Japan:morphological description molecular identification and complete larval development
FIGURE 13. Peltogaster reticulata, cypris larva. A, lateral view of male larva; B, anterior lattice organ 2 (LO2); C, posterior lattice organs 3–5; D, pores of frontolateral horn gland; E, F, porefields; G, hole with porefield; H, antennules of male cyprid; I, J, attachment disc of male larva; K, the fourth antennular segment of male larva; L, M, attachment disc of female larva; N, the fourth antennular segment of female larva. As, axial sense seta; bz, breakage zone; fe, flap-like extension; fp, filamentous processes; ma, male aesthetasc; oes, open-ended seta; p, pore; pas1, postaxial sense seta 1; pas2, postaxial sense seta 2; pf, porefield; sa, subterminal aesthetasc; sk, skirt; ts, terminal setae.
FIGURE 4 in The parasitic barnacle Peltogaster reticulata Shiino, 1943 (Rhizocephala, Peltogastridae) fromRussian watersof the Sea of Japan:morphological description molecular identification and complete larval development
FIGURE 4. BI consensus tree of partial mt COI gene sequences of the genus Peltogaster. The HKY+G substitution model was used for the analysis. The Bayesian posterior probability and bootstrap values higher than 50% for the NJ analyses are shown near nodes (the order of their values is BI/NJ).
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.