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261 results for “Research assessment”
Dataset to several methods for assessment of research waste: a scoping review
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Google Scholar as a Data Source for Research Assessment in the Social Sciences
<p>Column 1</p> <p>Source</p> <p>Data sources that the publications retrieved. Values for this column are “Google Scholar”, “Scopus”, and “Web of Science”.</p> <p>Column 2</p> <p>Authors</p> <p>The authors of the publications. This column is kept as additional information for verification of data. Not used in the analysis, it has not been standardized.</p> <p>Column 3</p> <p>Title</p> <p>Titles of the publications. For non-English publications, English titles, if available, are kept in this column. Otherwise, the original titles have been entered. The headings were checked and errors and omissions were corrected. Corrected titles are marked in red.</p> <p>Column 4</p> <p>Title translated with Google Translate</p> <p>In this Column, the English translated titles of the publications that do not have English titles are kept. Google Translate is used for detecting the language and translation. For publications with an English title, the expression [Title in English] has been entered. The translations of the original titles kept in this field were used in the analysis made through VOSviewer. It is marked in red as it is newly added data.</p> <p>Column 5</p> <p>Language</p> <p>Language of the publications. The languages of all publications were checked, missing data were completed and errors were corrected. If the language of the publication could not be determined, the value is [Not found]. The cells with addition or correction are marked in red.</p> <p>Column 6</p> <p>Document type</p> <p>Types of the documents. For all publications, publication type information was checked, missing ones were completed and corrections were made. All intervened cells are marked in red. Article and Review types are referred to as “Article” in the text.</p> <p>Column 7</p> <p>Full-text available</p> <p>Values for this column are “Yes” and “No”. The values for this column are Yes and No. If there is access to the full text of the publication via the web, "Yes", otherwise the "No" value has been entered.</p> <p>Column 8</p> <p>On research evaluation</p> <p>Values for this column are “Yes” and “No”. Using the title and/or abstract information, it was tried to determine whether the publications were related to the research evaluation. “Yes”, if found relevant, and “No” if not. It is marked in red as it is newly added data.</p> <p>Column 9</p> <p>Publication year</p> <p>The publication years of the documents. If the publication years are missing, they have been completed. The current publication years have been checked and corrected if necessary. If the year of publication could not be found, it is indicated as [Not found].</p> <p>Column 10</p> <p>English abstract</p> <p>Abstracts of the publications. If there is an accessible/available English abstract for the publication, it is kept in this column. [Not found/Not available] for missing values. Abstracts that were added, changed, corrected, or completed are marked in red.</p>
Submission to Special Issue of Quantitative Science Studies "Scientific Knowledge Graphs and Research Impact Assessment"
<p>To be added</p>
Global Sea Level Budget Assessment by World Climate Research Programme
<p>Global mean sea level is an integral of changes occurring in the climate system in response to unforced climate variability as well as natural and anthropogenic forcing factors. Its temporal evolution allows detecting changes (e.g., acceleration) in one or more components. Study of the sea level budget provides constraints on missing or poorly known contributions, such as the unsurveyed deep ocean or the still uncertain land water component. In the context of the World Climate Research Programme Grand Challenge entitled “Regional Sea Level and Coastal Impacts”, an international effort involving the sea level community worldwide has been recently initiated with the objective of assessing the various data sets used to estimate components of the sea level budget during the altimetry era (1993 to present). These data sets are based on the combination of a broad range of space-based and in situ observations, model estimates and algorithms. Evaluating their quality, quantifying uncertainties and identifying sources of discrepancies between component estimates is extremely useful for various applications in climate research. This effort involves several tens of scientists from about sixty research teams/institutions worldwide (www.wcrp-climate.org/grand-challenges/gc-sea-level). The results presented in this paper are a synthesis of the first assessment performed during 2017-2018. We present estimates of the altimetry-based global mean sea level (average rate of 3.1 +/- 0.3 mm/yr and acceleration of 0.1 mm/yr2 over 1993-present), as well as of the different components of the sea level budget. We further examine closure of the sea level budget, comparing the observed global mean sea level with the sum of components. Ocean thermal expansion, glaciers, Greenland and Antarctica contribute by 42%, 21%, 15% and 8% to the global mean sea level over the 1993-present. We also study the sea level budget over 2005-present, using GRACE-based ocean mass estimates instead of sum of individual mass components. Results show closure of the sea level budget within 0.3 mm/yr. Substantial uncertainty remains for the land water storage component, as shown in examining individual mass contributions to sea level.</p>
Supplementary material 7 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Species delimitation congruence, comparing Linnaean species assignment of the original sequences retrieved from BOLD v/s results of MOTU clustering
Supplementary material 1 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
In silico penalty scores, barcode coverage and congruency analysis of the wild bee species of Luxembourg
Supplementary material 3 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Summary and metadata of the wild bee samples from Luxembourg and Germany used in the mock communities
Supplementary material 6 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
The accession number or ID of the parsing dataset of COI, 16S, and PEPCK sequences for *BEAST analysis
Supplementary material 8 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
List of specimens, including species, collection, specimen ID, origin country and latitude group, and measurement of intertegular distance (ID), head width (HW), median ocelli width (MOW) in millimetres (mm)
Supplementary material 1 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
List of COI sequences from databases, research and collaboration, including the accession number or ID, the original sequence length and country
Supplementary material 5 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
List of 16S and PEPCK sequences from GenBank with the accession number, the original sequence length, and country
FIGURE 17 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 17. Correlation between body length (BL) and carrier frequency (F2*). (1): R2 calculation with all Tibicina species (black line; n = 10) with R2 = 0.6477; (2): R2 calculation for Tibicina species except T. tomentosa and T. maldesi (dotted line; n = 8) with R2 = 0.9401. For (2) R2 = 0.9401, 95% confidence interval for the regression in grey and 95% prediction band in light grey. Vertical bars represent minimum and maximum frequencies for each species.
FIGURE 14. A in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 14. A, distribution map of T. q. quadrisignata (green and red dot) and T. q. pilleti Puissant ssp. n. (blue dot). B, distribution map of T. maldesi (black dot) and T. q. pilleti Puissant ssp. n. (blue dot). LC: locus typicus; RC: site of the recordings. Red dot represent stations that need to be confirmed (see explanation in text).
FIGURE 15 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 15. Male dorsal view of T. q. quadrisignata at the top and T. q. pilleti Puissant ssp. n. at the bottom. The black lines show the differences in the ratio between forewing length and pronotal collar width in the two species.
FIGURE 13 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 13. Tymbal activity of T. maldesi. A, seven groups of pulses taken in the full signal (slow amplitude modulation). B, detailed oscillogram of a part of A showing two groups of pulses with their pulses structure (fast amplitude modulation). C, the same two groups of pulses of B with their number of pulses per cymbal visualized under the function "Envelope (analytic signal)". D, the same two groups of pulses with their number of pulses per cymbal visualized under the function "Envelope". GP: group of pulses (= syllable); ipsi–contra: sub-groups of pulses of the first tymbal (ipsi) followed by the second tymbal (contra) of asynchronous activity; LR: long ribs of the tymbal.
FIGURE 11 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 11. Courtship song of T. q. pilleti Puissant ssp. n. A, spectrogram and B, oscillogram (from top to bottom) of a succession of phrases composed of two echemes. C, oscillogram of a part of B showing two phrases and their component echeme, a one long echeme (E1) and a one short terminal echeme (E2). D, detailed spectrogram and E, oscillogram of a part of C showing a phrase with, for each echeme, a low amplitude part duration (LPD) and a shorter high amplitude part duration (HPD).
FIGURE 10 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 10. Spectrogram and oscillogram (from top to bottom) of the rivalry song of T. q. pilleti Puissant ssp. n. One male producing an irregular train of echemes in the foreground (M2) is interrupted by another male producing a fast trains of rivalry song pulse groups in the background (M1).
FIGURE 8 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 8. Calling song recording of T. q. pilleti Puissant ssp. n. with a digitization at 96 kHz sampling frequency. Frequency amplitude envelope peaking at 28 kHz, encapsulating the second upper harmonic at around 27 kHz.
FIGURE 6 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 6. Thermal image of T. q. pilleti Puissant ssp. n. from infrared camera FLIR E50. Dot (Sp1), temperature measured at the surface of the stem. Red triangle in the rectangular area (Bx1), surface of the body of the singing individual where the temperature is the higher.
FIGURE 7 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 7. Typical physical structure of vegetation where specimen of T. q. pilleti Puissant ssp. n. can be very numerous.
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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)
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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.