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136 results for “trend analysis”
FIG. 6 in Trends in Chondrichthyan Research: An Analysis of Three Decades of Conference Abstracts
FIG. 6. The species (or groups of species indicated by an *) that were mentioned in more than 50 abstracts, and the research areas most commonly applied to each. Any research area n. 4 is indicated; all others are grouped together as ''other.'' See Supplemental Appendix 1 (see Data Accessibility) for a detailed description of each research area with examples.
FIG. 7 in Trends in Chondrichthyan Research: An Analysis of Three Decades of Conference Abstracts
FIG. 7. The number of abstracts focusing on each species found in North American, Central American, and Caribbean waters that is listed as Threatened by IUCN Red List standards, from Kyne et al. (2012). An X indicates the Red List status of each species that has not been the focus of any abstracts. Red indicates Critically Endangered, Orange indicates Endangered, and Yellow indicates Vulnerable. The question mark by Caribbean electric ray reflects more recent published research suggesting that the species should instead be evaluated as ''Least Concern,'' but as of this writing it remains evaluated as ''Critically Endangered'' by the IUCN Red List database. Additionally, the abstracts presented about Caribbean electric rays were prior to a taxonomic shift.
Epistemic communities in knowledge organization: an analysis of research trends in the Knowledge Organization journal
<p><span>Considering knowledge organization as a domain in a continuous process of theoretical-methodological consolidation, it becomes important to identify its epistemological configuration and “epistemic communities” in order to measure its impact on society and scholarship. As a reflection of the ISKO and knowledge organization activities, the Knowledge Organization (KO) journal was analysed for the period 1994-2014 in order to identify and characterise the core of researchers that the knowledge organization community consider as central and more impactful. In addition, we analysed the impact of this literature on the LIS scientific domain as a whole, by means of the presence of such literature also in scholarly journals other than KO. The results reveal that the consolidation process of the KO domain and the epistemic communities’ progress occur in a dynamic and well-balanced way with a strong and widespread impact on the LIS scientific context as a whole. The dynamic and evolving nature of these groups, with citations growing in number and new authors slowly emerging for each period, makes it possible to conclude that the ISKO epistemic communities and their impact are not only changing but also expanding.</span></p>
Dataset from: "Global research trends of BRUE (brief resolved unexplained event) or formerly ALTE (apparent life-threatening event): A comprehensive visualization and bibliometric analysis from 1988 to 2024"
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Dataset for: Faculty Publication Trends in a Japanese National University: A Diachronic Document Analysis
<p>Dataset for paper titled: Faculty Publication Trends in a Japanese National University: A Diachronic Document Analysis</p>
TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data
<p>Datasets of TransBic: extracting bucket trend-preserving biclusters for analysis of gene expression data</p>
FIGURE 2. A in A review and analysis of the use of epithets in infrageneric, species, and infraspecific names in Kalanchoe (Crassulaceae subfam. Kalanchooideae): trends in the plant naming game
FIGURE 2. A selection of epithets used in Kalanchoe nomenclature. A. Kalanchoe alticola Compton (1975: 47) was named for a habitat feature. B. Kalanchoe beharensis Drake del Castillo (1903:), a toponym, was named for Behara, Madagascar. C. Kalanchoe blossfeldiana Von Poellnitz (1934: 159) [red- and yellow-flowered material], an eponym, was named for Robert Blossfeld (1882–1945). D. Kalanchoe daigremontiana, an eponym, was named for Mr and Mrs Daigremont, who were active around 1914. E. Kalanchoe fedtschenkoi RaymondHamet & Perrier de la Bâthie (1915: 75), an eponym, was named for Boris Alexjewitsch Fedtschenko (1872–1947). The leaf-variegated selection of the species is shown here. F. Kalanchoe gastonis-bonnieri, an eponym, is one of two names in which Gaston Eugène Marie Bonnier (1853–1922) is commemorated. G. Kalanchoe luciae, an eponym, was named for Lucy Dufour (?–?). H. Kalanchoe ×sogae Smith & Figueiredo (2022e: 99), an eponym, was named for Jotello Festiri Soga (1865–1906). All photographs taken by Gideon F. Smith, except D, which was taken by Estrela Figueiredo.
FIGURE 1. A in A review and analysis of the use of epithets in infrageneric, species, and infraspecific names in Kalanchoe (Crassulaceae subfam. Kalanchooideae): trends in the plant naming game
FIGURE 1. A selection of persons commemorated in eponymic epithets in Kalanchoe: A. Alwin Berger (1871–1931) in K. bergeri Raymond-Hamet & Perrier de la Bâthie (1914: 199). B. Bernard Marie Descoings (1931–2018) in K. ×descoingsii Shtein, Gideon F.Sm. & Ikeda in Shtein et al. (2021b: 249). C. Helena Madelain Lamond Forbes (1900–1959) in K. ×forbesiae Smith & Hankey (2021: 295). D. Mary Davidson Gunn (1899–1989) in K. ×gunniae Smith & Figueiredo in Smith et al. (2019b: 147). E. Jean Henri Humbert (1887– 1967) in K. humbertii Guillaumin (1939: 337) and in K. humbertii Mannoni & Boiteau (1947: 150), nom. illeg. (Turland et al. 2018: Art. 53.1). F. Julien Marnier-Lapostolle (1902–1976) (right) in K. marnieriana. Marcel Kroenlein (1928–1994) (left) was the Director of the Jardin Exotique de Monaco from 1969 to 1993. G. The family of Raymond-Hamet (1890–1972), pictured here, in K. hametorum. H. Philippe Édouard Léon van Tieghem (1839–1914) in K. tieghemii and in K. vantieghemii. I. Inez Clare Verdoorn (1896–1989) in K. ×verdoorniae Smith (2022h: 76). Photograph acknowledgements: A, photographer unknown; © and reproduced with the permission, through Lutz Schmalfuss, of the Alwin-Berger-Archiv, B̧rgerverein M̂schlitz e.V., Germany. B, photographer unknown; likely G.W. Reynolds; Descoings assisted Gilbert W. Reynolds in the field in Madagascar in the 1950s. Descoings here stands next to a large specimen of Aloestrela suzannae (Decary 1921: 26) Molteno & Gideon F.Sm. in Smith & Molteno (2019: 5). The original of the black-and-white image is apparently no longer extant. C, D, and I, photographers unknown; photographs © of the South African National Biodiversity Institute, and reproduced with permission. E, photographer unknown; photograph supplied by and © Dr Laurence J. Dorr, U.S. National Herbarium, Smithsonian Institution, U.S.A. F, photograph probably taken by Prof. Dr Werner Rauh in ca. 1974; Foto Heritage W. Rauh— © W. Barthlott; reproduced with permission. G, photographer unknown; image created and enhanced by the late Roy Mottram†, United Kingdom. H, photographer Eugène Pirou, Muséum national d'Histoire naturelle, Paris; image in the public domain because of its age (https://upload.wikimedia.org/wikipedia/commons/0/0c/Philippe_Van_Tieghem_%281839-1914%29.jpg).
Trends of the Pre-hospital Emergency Care Spectrum in Beijing From 2005 to 2014: A Retrospective Analysis
ClinicalTrials.gov study NCT02645877. IPD Sharing: NO. Countries: 1. Publications: 1.
Analysis of Trends Over Time of Hepatitis Related Incidence in Panama
ClinicalTrials.gov study NCT01159951. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Body Weight Assessment in Swiss Primary School Children: Trend Analysis Over 10 Years
ClinicalTrials.gov study NCT01572935. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Hirschsprung Disease Trends in the United States: Analysis of the National Inpatient Sample
ClinicalTrials.gov study NCT05038345. IPD Sharing: NO. Countries: 1. Publications: 2.
Data accompanying manuscript: Allometric analysis of brain cell number in Hymenoptera suggests ant brains diverge from general trends
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Data from: Bucking the trend: genetic analysis reveals high diversity, large population size and low differentiation in a deep ocean cetacean
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Data from: Phylogeny, macroevolutionary trends and historical biogeography of sloths: insights from a Bayesian morphological clock analysis
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A decade-long analysis of trends in antimicrobial resistance at a neurosurgical hospital in Kathmandu, Nepal
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Data, Rcode and Supplementary Materials for: Effects of virgin micro- and nano-plastics on fish: Trends, meta-analysis and perspectives
<p><strong>Review_MNNP_Fish</strong></p> <p>Data, Rcode and Supplementary Materials for: Effects of virgin micro- and nano-plastics on fish: Trends, meta-analysis and perspectives</p> <p><strong>Supplementary_Information_1.pdf</strong>:<br> This document contains a list of names that are used in the database (see Supplementary_Information_2) to describe the biological endpoints investigated within the 46 studies that we have reviewed</p> <p><strong>Supplementary_Information_2.xlsx</strong>:<br> This document contains 6 sheets:</p> <ul> <li>'Database' sheet: contains the full database compiling the 46 studies and 782 biological endpoints analyzed in this review paper.</li> <li>'INFO' sheet: contains the information to understand how MP/NP sizes and concentrations were attributed to classes</li> <li>'Size_Class_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP size classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Mass_Conc_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP mass concentration classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Part_Conc_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP particle concentration classes and effects on fish biological functions. This sheet is used to build Figure 4.</li> <li>'Exposure_Path_analytics' sheet: contains the analyzed data (from the database) regarding MP/NP exposure pathway and effects on fish biological functions. This sheet is used to build Figure 3.</li> </ul> <p><strong>Plabib_Fig2.xlsx</strong>:<br> This document contains the data necessary to build Figure 2 of this review paper. Data has been extracted from Supplementary_Information_2 database.</p> <p><strong>Plabib_Fig3_pie.txt</strong>:<br> This document contains the data necessary to build Figure 3 pie chart. Data has been extracted from Supplementary_Information_2 database.</p> <p><strong>PlaBib_Rcode_forFigures.R</strong>:<br> This document contains the Rcode necessary to build all figures from this manuscript</p>
Data of the ER 2020 Publication: Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis
<p>Related Publication:</p> <p>Härer, Felix, Fill, Hans-Georg (2020): Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis. Accepted for: 39th International Conference on Conceptual Modeling, ER 2020.</p> <p>Contents:</p> <ul> <li>The directory <em>Descriptive Analysis</em> contains all publications of the analysis database used for the descriptive analysis.</li> <li>The directory <em>Bibliometric Analysis</em> contains the NLP and analysis processes for RapidMiner with stopwords and synonyms.</li> </ul>
Evolving Trends in Granulomatous Mastitis Research: A Bibliometric Analysis; Tables & Figures
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Evolution and Trends in Research on Family Digital Leisure: A Bibliometric Analysis
<p>This repository contains the database used for the development of the study "Evolution and Trends in Research on Family Digital Leisure: A Bibliometric Analysis" followed the PRISMA 2020 Protocol. This study aims to analyze the evolution of the field of research on family digital leisure from 2012 to 2022. The analysis, conducted through a bibliometric approach, seeks to identify trends, changes, and emerging patterns in scientific literature. To achieve this purpose, two specific objectives were established. First, the temporal evolution of the field was explored, evaluating the variation in scientific production and academic attention over the last decade. Second, emerging themes and thematic groups that have gained relevance in scientific literature were identified. On January 31, 2023, a search was conducted in the topic section (abstract, title, and keywords) of the Web of Science (WoS), Clarivate Analytics, and Scopus Main Collection. The descriptors used were: (leisure OR game OR entertainment) AND (digital OR internet OR online OR cyber OR technolg* OR ICT OR ICTs) AND (family). This search was limited to the years 2012-2022. The initial search generated 2953 results, which, after removing duplicates, were reduced to 1843 documents. These were subjected to the following inclusion criteria: (1) being articles or reviews and (2) having been published between 2012 and 2022. Consequently, chapters of books, conference papers, and other formats were excluded, as well as scientific production accepted for publication in 2023 (early or advance access). Finally, 1381 documents were obtained to carry out the bibliometric study.</p>
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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.