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197 results for “Material Sciences”
Supplementary Material to "Identifying major research themes in sport sciences" (Dataset)
<p>The Excel file is organized into the following sheets:</p> <ul> <li><strong>SM_Sheet1</strong> - global bibliometric indicators in the sport sciences</li> <li><strong>SM_Sheet2</strong> - main indicators at country for two different period</li> <li><strong>SM_Sheet3</strong> - list of 4159 research topics for world science research</li> <li><strong>SM_Sheet4</strong> - a detailed description of main research topics in sport sciences</li> <li><strong>SM_Sheet5</strong> - the number of journals included in the Journal Citation Reports (JCR) in the sport science category and the topic distribution according to the Gini Index are as follows</li> </ul>
Supplemental Material: Computational Experiments in Computer Science Research: A literature survey
<p>This laboratory package contains supplemental material from the study: "Supplemental Material: Computational Experiments in Computer Science Research: A literature survey". The supplementary material contains:<br> 1. The list of the 26 primary studies.<br> 2. The .xlsx file of the dataset used to analyze the RQ.<br> 3. The list of figures published in the scientific article.</p>
Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science - Supplementary Materials
<p>This folder contains supplementary materials for the PhD thesis “Peer Production in Citizen Science: A Community-Centered Approach on the Example of Personal Science” by Katharina Kloppenborg. This project has been led at Université Paris Cité / Inserm U1284 from 2020 to 2023 and was supervised by Bastian Greshake Tzovaras and Ariel Lindner. </p>
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)
Supplementary material 1 from: Zermoglio PF, Plos A, Acosta N, Amaya L, Escobar DA, Grattarola F, Mancina CA, Nuñez F, Plata CA, Quintero E, Vargas M (2020) Latin American Plea for Incorporation of Other, Non-English Languages in TDWG Standards Documentation. Biodiversity Information Science and Standards 4: e58973. https://doi.org/10.3897/biss.4.58973
Signatories to the petition for incorporation of other languages to the Biodiversity Information Standards (TDWG) standards and documentation
Supplementary material 1 from: Wilson JRU, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM (2020) Frameworks used in invasion science: progress and prospects. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 1-30. https://doi.org/10.3897/neobiota.62.58738
Details of the workshop, the invitation, list of attendees, the programme, ground rules, form for highlighting case-studies, and the process for compiling the special issue
Supplementary material from "Utilising citizen science data to rapidly assess changing associations between wild birds and avian influenza outbreaks in poultry."
<p>Stephen H. Vickers, Jayna Raghwani, Ashley C. Banyard, Ian H. Brown, Guillaume Fournie and Sarah C. Hill </p>
Supporting material for Petricca et al. (2024), "Gravity and Radio Science Investigation at the Moons of Uranus to Reveal Subsurface Oceans and Characterize Interior Structures", JGR: Planets
<p>This archive contains the supplementary material for the paper "Gravity and Radio Science Investigation at the Moons of Uranus to Reveal Subsurface Oceans and Characterize Interior Structures", JGR: Planets</p> <p>Content of the dataset:</p> <ol> <li>Synthetic gravity fields for Ariel and Titania generated in the study</li> <li>SPICE kernels of the trajectory of the Uranus Orbiter and Probe designed at JPL</li> </ol> <p> </p> <p>---------------------------------------------------------------</p> <p>Synthetic gravity fields</p> <p>---------------------------------------------------------------</p> <p>The gravity fields are generated following the procedures described in Section 2.1.2 of the main paper. The hydrosphere thickness is assumed to be 190 km and 220 km for Ariel and Titania, respectively. The ocean density is fixed at 1050 kg/m^3. The syntethic topography is generated with pyshtools (Wieczorek and Meschede, 2018). The label of the file indicates the amplitude of the topography of each interface (ice shell or ocean floor) and the maximum degree of the spherical harmonics expansion. The files are formatted according to the Spherical Harmonics ASCII Data Record (SHADR) standard.</p> <p>The header of each file contains: reference radius (km), GM (km^3 / s^2), uncertatinty in the GM (not used and set to zero), maximum degree <em>l </em>of the<em> </em>expansion, maximum order<em> m </em>of the expansion, normalization (0 for unnormalized, 1 for 4pi normalization), reference latitude, reference longitude</p> <p>The columns contain: degree <em>l</em>, order <em>m</em>, coefficient C_<em>lm</em>, coefficient S_<em>lm</em></p> <p>---------------------------------------------------------------</p> <p>UOP trajectories</p> <p>---------------------------------------------------------------</p> <p>The reference positions and velocities of the UOP were generated by Damon Landau (JPL) as part of an internal study at JPL. These initial positions and velocities were numerically integrated by Flavio Petricca (JPL) using the dynamical models described in the main paper. For this reason, the trajectories only cover +- 8 hours from closest approach with each moon and not the entire tour.</p> <p>The ID of the spacecraft is set to -999. The simple text kernel provided here (id_name_map.txt) can be loaded in the kernel pool to associate the ID code with the SPICE names 'URANUS ORBITER PROBE' and 'UOP' for a more explicit and user-friendly access to the trajectories.</p>
FIGURE 31 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 31. Telostholus rinjani Loktionov & Lelej, 2019, ♀, holotype. A. Labels. B. Habitus, lateral view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. Scale bar: 1.0 mm for B; 0.2 mm for C, D, E. All from Loktionov & Lelej 2019.
FIGURE 30 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 30. Dipogon (Stigmatodipogon) khinganicus (Kochetkov & Loktionov, 2019), ♀, holotype. A. Labels. B. Habitus, dorsal view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. Scale bar: 1.0 mm for B; 0.2 mm for C, D; 0.1 mm for E. All from Kochetkov & Loktionov 2019.
FIGURE 27 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 27. Priocnemis sugonjaevi Lelej & Loktionov, 2015, ♂, holotype. A. Labels. B. Habitus, dorsal view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. F. Hypopygium and sternum 7, ventral view. G. Genitalia, ventral view. Scale bar: 1.0 mm for B; 0.2 mm for C, D, E, F, G. F, G from Loktionov et al. 2015.
FIGURE 22 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 22. Deuteragenia lehri Loktionov & Lelej, 2014, ♀, holotype. A. Labels. B. Habitus, lateral view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. Scale bar: 1.0 mm for B; 0.2 mm for C, D, E.
FIGURE 19 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 19. Arachnospila zonsteini Loktionov & Lelej, 2011, ♂, holotype. A. Labels. B. Habitus, lateral view. C. Head, dorsal view. D. Head, lateral view. E. Head, frontal view. F. Hypopygium and sternum 7, ventral view. G. Hypopygium, lateral view. H. Genitalia, ventral view. Scale bar: 1.0 mm for B; 0.5 mm for F, G, H; 0.2 mm for C, D, E. F, H, G from Loktionov & Lelej 2011.
FIGURE 17 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 17. Arachnospila tobiasi Loktionov & Lelej, 2011, ♂, holotype. A. Labels. B. Habitus, lateral view. C. Head, dorsal view. D. Head, lateral view. E. Head, frontal view. F. Hypopygium and sternum 7, ventral view. G. Hypopygium, lateral view. H. Genitalia, ventral view. Scale bar: 1.0 mm for B; 0.5 mm for F, G, H; 0.2 mm for C, D, E. F, H, G from Loktionov & Lelej 2011.
FIGURE 12 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 12. Arachnospila moczari Loktionov & Lelej, 2015, ♂, holotype. A. Labels. B. Habitus, lateral view. C. Head, dorsal view. D. Head, lateral view. E. Head, frontal view. F. Hypopygium and sternum 7, ventral view. G. Hypopygium and sternum 7, lateral view. H. Genitalia, ventral view. Scale bar: 1.0 mm for B; 0.5 mm for F, G, H; 0.2 mm for C, D, E. F, H, G from Loktionov & Lelej 2015.
FIGURE 23. Episyron kurilense Lelej, 1990 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 23. Episyron kurilense Lelej, 1990, ♀, holotype. A. Labels. B. Habitus, lateral view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. Scale bar: 1.0 mm for B; 0.2 mm for C, D, E.
FIGURE 26. Poecilagenia shimizui Lelej, 2000 in The type material of spider wasps (Hymenoptera, Pompilidae) deposited in the Federal Scientific Center of the East Asia Terrestrial Biodiversity, Russian Academy of Sciences, Vladivostok, Russia
FIGURE 26. Poecilagenia shimizui Lelej, 2000, ♂, holotype. A. Labels. B. Habitus, lateral view. C. Head, lateral view. D. Head, dorsal view. E. Head, frontal view. F. Hypopygium and sternum 7, ventral view. G. Genitalia, ventral view. Scale bar: 1.0 mm for B; 0.2 mm for C, D, E; 0.1 mm for F, G.
ScienceDex guides
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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.