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1,453 results for “Outcome research”
Figure 4 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 4 - European Starling Sturnus vulgaris (Linnaeus, 1758) occurrences visualized in GBIF portal (A), distribution map in Fauna Europaea (B) and occurrences in Latvian national observation portal dabastati.lv (C).
Figure 3 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 3 - Peacock Butterfly Aglais io (Linnaeus, 1758) occurrences visualized in GBIF portal (A), distribution map in Fauna Europaea (B) and occurrences in Latvian national observation portal dabastati.lv (C).
Figure 2 from: Ahmedien D (2016) Physics of Laser in Contemporary Visual Arts: the research protocol. Research Ideas and Outcomes 2: e11150. https://doi.org/10.3897/rio.2.e11150
Figure 2 - the graph illustrates the Data flow through the methodology designed in order to control the circle of the data processing from the inputs into the outputs and the processes in the middle through all research processes.
Figure 1 from: Ahmedien D (2016) Physics of Laser in Contemporary Visual Arts: the research protocol. Research Ideas and Outcomes 2: e11150. https://doi.org/10.3897/rio.2.e11150
Figure 1 - the flow chart of the thisis that shows thesis' chapters depending on the research methodology
Figure 2 from: Dasari S (2016) Studying the effect of Ruthenium on High Temperature Mechanical Properties of Nickel Based Superalloys and Determining the Universal Behavior of Ruthenium at Atomic Scale with respect to alloying elements, Stress and Temperature. Research Ideas and Outcomes 2: e10714. https://doi.org/10.3897/rio.2.e10714
Figure 2 - All features of the microstructures from the six samples taken before and after creep tests
Figure 5 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
Figure 5 - Selection of the journal and "Data Paper (Biosciences)" template in the ARPHA Writing Tool.
Figure 2 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
Figure 2 - This fictionalized workflow presents the flow of information content of biodiversity specimens or biodiversity occurrences from the data portals GBIF, BOLD Systems, iDigBio, and PlutoF, through user-interface elements in AWT to textualized content in a Taxonomic Paper manuscript template intended for publication in the Biodiversity Data Journal.
Figure 3 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
Figure 3 - User interface of the ARPHA Writing Tool controlling the import of specimen records from external databases.
Figure 6 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 6 - Project management time line; see also Sections 5 & 8. G = graduate student; UG = undergraduate students.
Figure 5 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 5 - Euler/X toolkit products. (A) Part of the complex "Andropogon use case", with 1948/1950/1968 input sec. Weakley (2015) (see also Fig. 1). (B) Euler/X visualization of input constraints. Each concept taxonomy is uniquely colored. Ten RCC–5 articulations are provided. (C) Euler/X alignment visualization, showing congruent (grey, rounded) and incongruent (colored) alignment regions. Arrows represent proper inclusion; blue dashed lines show overlap. (D) Subset of 48 inferred, Maximally Informative Relations (MIR). The "*" represents the 1948.Androgon_var_tenuispatheus concept lineage throughout (A) and (C).
Figure 4 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 4 - Species concept entry Weakley's Flora (Weakley 2015: 355), with 15 RCC–5 articulations to name usages endorsed in incongruent, preceding treatments (such as Radford et al. 1968 ["RAB"]).
Figure 3 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 3 - SERNEC (2016) Taxonomic Thesaurus for the genus-level name Cleistesiopsis, as of August 2016. [] = synonym.
Figure 2 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 2 - "Where do these endangered orchid species occur?" – visualizing the taxonomic variable for aggregated herbarium data. Mappings for the same 250 SERNEC specimens (not all resolved at this geographic scale) according to four distinct taxonomies. (A) sec. SERNEC (2016) 'consensus', (B) sec. Radford et al. (1968), (C) sec. Kartesz (2010), (D) sec. Weakley (2015). In A, C, and D, unequal sets of specimens labeled as bifaria are red; those labeled as divaricata are blue. In B, all specimens are identified as divaricata, and hence a query for bifaria would not return any specimens.
Figure 1 from: Abbey M (2016) Functional characterization of the several splice variants of Fmr1. Research Ideas and Outcomes 2: e10593. https://doi.org/10.3897/rio.2.e10593
Figure 1 - Diagrammatic representation of the exon structure of Fmr1 and its corresponding functional domains. The splice acceptor sites are marked as 1 and 2.
Figure 1 from: Franz N, Gilbert E, Ludäscher B, Weakley A (2016) Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal. Research Ideas and Outcomes 2: e10610. https://doi.org/10.3897/rio.2.e10610
Figure 1 - Taxonomic concept labels and concept-to-concept articulations, represented in a tabular alignment of nine schemata, for the Cleistes use case (sec. A.S. Weakley). The vertical column position and width of taxonomic concept labels indicates taxonomic non-/congruence. The colors approximate taxonomic name lineages, e.g. blue for bifaria and yellow for divaricata.
Figure 8 from: Glover A, Dahlgren T, Taboada S, Paterson G, Wiklund H, Waeschenbach A, Cobley A, Martínez P, Kaiser S, Schnurr S, Khodami S, Raschka U, Kersken D, Stuckas H, Menot L, Bonifacio P, Vanreusel A, Macheriotou L, Cunha M, Hilário A, Rodrigues C, Colaço A, Ribeiro P, Błażewicz M, Gooday A, Jones D, Billett D, Goineau A, Amon D, Smith C, Patel T, McQuaid K, Spickermann R, Brager S (2016) The London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone. Research Ideas and Outcomes 2: e10528. https://doi.org/10.3897/rio.2.e10528
Figure 8 - The eastern CCZ, illustrating the cruise track of the RRS James Cook MIDAS JC-120 cruise to sample APEI-6 (green box) and a short sampling station in the northern sector of UK-1 (yellow box). Image source: Daniel Jones, National Oceanography Centre, UK.
Figure 7 from: Glover A, Dahlgren T, Taboada S, Paterson G, Wiklund H, Waeschenbach A, Cobley A, Martínez P, Kaiser S, Schnurr S, Khodami S, Raschka U, Kersken D, Stuckas H, Menot L, Bonifacio P, Vanreusel A, Macheriotou L, Cunha M, Hilário A, Rodrigues C, Colaço A, Ribeiro P, Błażewicz M, Gooday A, Jones D, Billett D, Goineau A, Amon D, Smith C, Patel T, McQuaid K, Spickermann R, Brager S (2016) The London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone. Research Ideas and Outcomes 2: e10528. https://doi.org/10.3897/rio.2.e10528
Figure 7 - The GSR-Belgium polymetallic-nodule exploration claim areas in the eastern CCZ, illustrating the three areas in which survey work has concentrated, and the sampling stations in which molecular data were obtained from GSR cruise in 2015 and the JPI Oceans SO-239 cruise in 2015. Image source: Ann Vanreusel, University of Ghent.
Figure 4 from: Glover A, Dahlgren T, Taboada S, Paterson G, Wiklund H, Waeschenbach A, Cobley A, Martínez P, Kaiser S, Schnurr S, Khodami S, Raschka U, Kersken D, Stuckas H, Menot L, Bonifacio P, Vanreusel A, Macheriotou L, Cunha M, Hilário A, Rodrigues C, Colaço A, Ribeiro P, Błażewicz M, Gooday A, Jones D, Billett D, Goineau A, Amon D, Smith C, Patel T, McQuaid K, Spickermann R, Brager S (2016) The London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone. Research Ideas and Outcomes 2: e10528. https://doi.org/10.3897/rio.2.e10528
Figure 4 - Composition of participants in the London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone, based on taxon expertise (only estimated in 23 participants), professional status, representing nation and gender (from 32 participants).
Figure 3 from: Glover A, Dahlgren T, Taboada S, Paterson G, Wiklund H, Waeschenbach A, Cobley A, Martínez P, Kaiser S, Schnurr S, Khodami S, Raschka U, Kersken D, Stuckas H, Menot L, Bonifacio P, Vanreusel A, Macheriotou L, Cunha M, Hilário A, Rodrigues C, Colaço A, Ribeiro P, Błażewicz M, Gooday A, Jones D, Billett D, Goineau A, Amon D, Smith C, Patel T, McQuaid K, Spickermann R, Brager S (2016) The London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone. Research Ideas and Outcomes 2: e10528. https://doi.org/10.3897/rio.2.e10528
Figure 3 - Recent publications on the Clarion-Clipperton Zone are making imagery and genetic data available in public databases that will allow future workers access to these data and the voucher materials, for regional-level syntheses and further DNA sequencing if needed. Examples are recent taxonomic data papers on the Echinodermata (Glover et al. 2016b) (image left) and Cnidaria (Dahlgren et al. 2016) (image top right). Data associated with these papers is automatically uploaded to the Global Biodiversity Information Facility (GBIF, bottom right). See Workshop Recommendations.
Figure 6 from: Glover A, Dahlgren T, Taboada S, Paterson G, Wiklund H, Waeschenbach A, Cobley A, Martínez P, Kaiser S, Schnurr S, Khodami S, Raschka U, Kersken D, Stuckas H, Menot L, Bonifacio P, Vanreusel A, Macheriotou L, Cunha M, Hilário A, Rodrigues C, Colaço A, Ribeiro P, Błażewicz M, Gooday A, Jones D, Billett D, Goineau A, Amon D, Smith C, Patel T, McQuaid K, Spickermann R, Brager S (2016) The London Workshop on the Biogeography and Connectivity of the Clarion-Clipperton Zone. Research Ideas and Outcomes 2: e10528. https://doi.org/10.3897/rio.2.e10528
Figure 6 - Outline of the JPI Oceans 'SO-239' research cruise aboard the R/V Sonne 10 March – 30 April 2015 to the eastern CCZ (Image from Short Cruise Report: Martinez, 2015).
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.