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794 results for “publishing”
Technology needs of small and medium journal publishers 2025 survey
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Data from: A scoping review of published literature on chikungunya virus
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Data from: Environmental correlates of large-scale spatial variation in the δ13C of marine animals (and related published studies of carbon and nitrogen isotopic baselines)
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Score compounds using 275 frequent hitter rules published in the Lilly-Medchem-Rules
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Daily weather summaries (temperature, precipitation and wind) for station SAN DIEGO LINDBERGH FIELD, CA US (GHCND:USW00023188), obtained from NOAA National Climatic Data Center and re-published through CCE LTER data system for community use as regionally relevant data, 1939 - Oct 2019.
Data provided here are obtained from the Global Historical Climatology Network - Daily (GHCN-Daily) database, provided by NOAA National Centers for Environmental Information (formerly NCDC). Data are periodically downloaded by CCE LTER Information Management and imported into the local data system for use by the local scientific community as regionally relevant data. The data contained in this dataset are from the SAN DIEGO LINDBERGH FIELD, CA US station (GHCND:USW00023188) at 32.7336°, -117.1831° beginning in July 1, 1939. The Global Historical Climatology Network - Daily (GHCN-Daily) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCN-Daily is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCN-Daily station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.
Locations of published studies focused on Uniola paniculata and Ammophila breviligulata along the US east coast (NJ-NC)
Data is derived from a literature search performed on December 19th, 2017 by the authors. Our literature search used both forward and backward searches ("cited by" and "citing") in Google Scholar and Web of Science. In the first data table are the records for studies focusing on Uniola paniculata and Ammophila breviligulata and their occurrences (in a coastal dune context) from New Jersey to North Carolina. The second data table records statements regarding both the northern range limit of U. paniculata and statements regarding the southern range limit of A. breviligulata. Data on each document found in the literature search was recorded by the dataset authors in a shared group spreadsheet. Several different variables were recorded for each literature mention of the species, for example: study location (e.g., "Hog Island"), document information (journal name, book, DOI), year published, species (coded as "U" or "A"), where in the text the comment on occurrence was made (e.g., "first column, first paragraph, page five"). Longitude and latitude was also included with the location either defined within the document, or (if not explicitly given) a location assigned by the dataset authors based on locations provided in the text.
Data for article: Normative drift and self-correction and self-regulation in scholarly publishing: The case of scholarly books published by academics at Makerere University
<p>University academics face multiple pressures to publish. These pressures emanate from contexts with different, often competing, social norms which result in academics publishing for reasons that may run counter to accepted scientific practice. This paper asks what decisions are being taken by academics when it comes to their choice of scholarly book publisher. An analysis of books selected from more than 2,500 self-reported scholarly publications produced by academics at Makerere University in Uganda from 2011 to 2017, reveals that 31 scholarly books were published. Of these books, more than half (54%) were published by publishers that do not follow accepted scholarly publishing practice. Findings also show that there was a sharp decline in books published with suspect publishers in the second half of the seven-year period. The article discusses possible reasons for the selection of suspect publishers and considers four factors that may account for the observable decline: (1) a cyclical downturn; (2) improved research management and reporting; (3) explication of the norms of science; and (4) self-correction.</p> <p><strong>METHODS</strong></p> <p>The specific interest of this study is the publication of scholarly books by academics at Makerere University. </p> <p>The sources of the publications data were the lists of research outputs published in Makerere University’s annual reports from 2011 to 2017. Digital copies of the annual reports in PDF format were downloaded from the university’s website. Data were scraped from the annual report PDFs by exporting the publication lists from the PDFs to MSWord, removing unnecessary line breaks and spacing to create a single publication per line, and copying the publication lists into MSExcel for cleaning and analysis. Data were cleaned to remove (1) duplicate entries (e.g. identical publications in the same annual report or a publication listed as ‘under review’ or ‘in press’ in one year and listed again as a publication in a following year); (2) publications listed as ‘submitted’, unpublished masters and PhD theses, speeches, lectures, responses or retractions; (3) incomplete entries (e.g. no article, book or journal title); and (4) publications prior to 2011 (e.g. a 2008 publication listed in the 2011 annual report).</p> <p>The cleaned data were then coded for ‘year of publication’ (2011 to 2017 inclusive), ‘college’ (any of the colleges at Makerere University to which the authors were affiliated), and ‘publication type’ (book chapter, journal article, edited volume, working paper, policy brief, monograph, conference paper, textbook, report, popular article, poster presentation, newsletter, essay, catalogue, poetry, handbook). Books or parts of books (i.e. ‘book chapter’, ‘edited volume’, ‘monograph’, ‘textbook’, ‘catalogue’, ‘poetry’ and ‘handbook’) were further coded for ‘publisher’ (name); ‘publisher location’ (city, country as indicated on the imprint page of the publication); and ‘URL’ (online reference to publisher or publication). In some cases, publications were listed by type in the annual reports. Where publication lists were not presented in this way, indicators such as ‘journal of’, ‘volume’, ‘issue’ and ISSNs were used to identify journals; conference names, ‘proceedings of’, dates and cities were used to identify conference papers and presentations; ‘news’, ‘magazine’, ISSNs and the absence of ‘journal of’ were used to identify periodicals; and place of publication, publisher and ISBNs were used to identify books. Where these indicators were insufficient to determine a publication type, an online search was done to find the missing data. </p> <p>A limitation of the adopted method is that it relies on self-reporting by the university colleges and the list can therefore not be assumed to be comprehensive. Without knowledge of the reporting guidelines, it is also not possible to know whether all colleges and schools used the same criteria when selecting what to submit for reporting purposes. For example, some colleges may have decided to include working papers, policy briefs or papers presented at conferences, while others may have decided not to do so. </p>
Figure 5 in The five deadly sins of science publishing
Figure 5. Summary of the F1000Research open science publishing process.
Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences
<p>Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences.</p> <p>This file is a digital supplement to William H. Walters, "Data journals: incentivizing data access and documentation within the scholarly communication system," <em>Insights: The UKSG Journal</em> 33, article 18 (June 10, 2020), 1–20, <a href="http://doi.org/10.1629/uksg.510">http://doi.org/10.1629/uksg.510</a>.</p>
Supplemental data for "Initial land use/cover distribution substantially affects global carbon and local temperature projections in the integrated Earth System Model." Article published as Global Biogeochemical Cycles publication 2019B006383
<p>These are supporting data for Global Biogeochemical Cycles publication 2019B006383: "Initial land use/cover distribution substantially affects global carbon and local temperature projections in the integrated Earth System Model." They include data for all of the regular and supplemental figures.</p>
SPARQLing Geodesy for Cultural Heritage – New Opportunities for Publishing and Analysing Volunteered Linked (Geo-)Data
<p><strong>SUMMARY</strong></p> <p>Geodesists are working in Industry 4.0 and Spatial Information Management by using cross linked machines, people and data. Moreover, open source software, open geodata and open access are becoming increasingly important. As part of the Semantic Web, Linked Open Data (LOD) must be created and published in order to provide free open geodata in interoperable formats. With this semantically structured and standardised data it is easy to implement tools for GIS applications e.g. QGIS. In these days, the world’s Cultural Heritage (CH) is being destroyed as a result of wars, sea-level rise, floods and other natural disasters by climate change. Several transnational initiatives try to preserve our CH via digitisation initiatives. As best practice for preserving CH data serves the Ogi Ogam Project with the aim to show an easy volunteered approach to modelling Irish `Ogam Stones` containing Ogham inscriptions in Wikidata and interlinking them with spatial information in OpenStreetMap and (geo)resources on the web.</p> <p><strong>ZUSAMMENFASSUNG</strong> </p> <p>Geodäten arbeiten in der Industrie 4.0 mit vernetzten Maschinen, Menschen und Daten. Zudem werden die Themen Open Source Software, offene Geodaten und Open Access immer wichtiger. Linked Open Data (LOD) müssen erstellt und veröffentlicht werden, um so freie und offene Geodaten in interoperablen Formaten als Teil des Semantic Web zur Verfügung zu stellen. Mit diesen semantisch strukturierten und standardisierten Daten ist es einfach Tools für GIS Applikationen, z.B. QGIS, zu erstellen. Zurzeit werden Kulturgüter (CH) der Welt durch Kriege, Meeresspiegelanstieg, Überflutungen und andere Naturkatastrophen, die durch den Klimawandel verursacht wurden, zerstört. Einige transnationale Initiativen versuchen daher die Kulturgüter durch Digitalisierungs-Initiativen zu erhalten. Als Beispiel dient hier die Digitalisierung im Ogi Ogham Projekt, das zum Ziel hat, einen einfachen auf Freiwilligenbasis fußenden Ansatz zu verfolgen, der irische `Ogham Steine` und deren Ogham Inschriften in Wikidata modelliert und diese mit Geodaten aus OpenStreetMap und deren Geodaten im Web referenziert.</p>
eeditiones/shakespeare: Version for 6.0 RC of TEI Publisher
<p>A demo generated from TEI Publisher to browse the Bodleian First Folio of Shakespeare Plays</p>
Supplementary figures for paper "Should robots have accents?" published at IEEE RO-MAN 2020
<p>These plots show the preference towards a robot's accent (displayed on the x-axis), broken down by participants' region of origin in the UK. For example, "plot_Wales" shows that around 25% of the 23 participants from Wales indicated that they would like a robot to have an SSBE accent, around 15% a Welsh accent, etc.</p>
Figures 1-3 from: Menzel F, Gammelmo Ø, Olsen KM, Köhler A (2020) The Black Fungus Gnats (Diptera, Sciaridae) of Norway – Part I: species records published until December 2019, with an updated checklist. ZooKeys 957: 17-104. https://doi.org/10.3897/zookeys.957.46528
Figures 1-3 Habitus of Norwegian Sciaridae1 winged male of Bradysia fenestralis (Zetterstedt, 1838) 2 brachypterous female of Corynoptera minima (Meigen, 1818) 3 apterous female of Epidapus gracilis (Walker, 1848).
Figure 6 from: Menzel F, Gammelmo Ø, Olsen KM, Köhler A (2020) The Black Fungus Gnats (Diptera, Sciaridae) of Norway – Part I: species records published until December 2019, with an updated checklist. ZooKeys 957: 17-104. https://doi.org/10.3897/zookeys.957.46528
Figure 6 Cumulative increase of the number of Norwegian species records of Sciaridae (red line) and the number of corresponding publications (bars) containing first records per decade until 31 December 2019.
Figure 8 from: Menzel F, Gammelmo Ø, Olsen KM, Köhler A (2020) The Black Fungus Gnats (Diptera, Sciaridae) of Norway – Part I: species records published until December 2019, with an updated checklist. ZooKeys 957: 17-104. https://doi.org/10.3897/zookeys.957.46528
Figure 8 Phenology of sciarid species in Norway based on the flight times of adults summarised from the published records until 31 December 2019.
Figure 4 from: Menzel F, Gammelmo Ø, Olsen KM, Köhler A (2020) The Black Fungus Gnats (Diptera, Sciaridae) of Norway – Part I: species records published until December 2019, with an updated checklist. ZooKeys 957: 17-104. https://doi.org/10.3897/zookeys.957.46528
Figure 4 The studied area for the sciarid fauna of Norway, subdivided into 18 mainland counties, the island Jan Mayen and the Svalbard archipelago comprising Bjørnøya and Spitsbergen.
Figure 7 from: Menzel F, Gammelmo Ø, Olsen KM, Köhler A (2020) The Black Fungus Gnats (Diptera, Sciaridae) of Norway – Part I: species records published until December 2019, with an updated checklist. ZooKeys 957: 17-104. https://doi.org/10.3897/zookeys.957.46528
Figure 7 Distribution of sciarid species in Norway based on published records until 31 December 2019. 'North Norway' includes the counties Nordland, Troms and Finnmark, while the remaining counties of the Norwegian mainland are grouped as 'South Norway'.
Karyotypes of the water scavenger beetles (Coleoptera: Hydrophilidae): new data and review of published records
<p>The dataset includes original photos of mitotic and meiotic nuclei and all working karyograms used for the paper, including those not published on the plates in the paper.</p>
Base de datos de impacto científico y académico de la bioacústica en Costa Rica utilizando el software Publish or Perish y la plataforma de Google Scholar
<p>La bioacústica ha permitido ampliar las formas de comprender la dinámica de los ecosistemas y las especies mediante el uso de archivos de sonido los cuales son considerados un espécimen acústico. En Costa Rica dada su alta biodiversidad, los sonidos forman parte importante de la comunicación en muchas especies silvestres y la producción científica referente al tema de bioacústica se encuentra en aumento. El objetivo de la investigación fue analizar el impacto de la bioacústica desde la perspectiva de la producción científica y académica durante los últimos 50 años y destacar la importancia de los sonidos en la conservación de especies y sus hábitats en Costa Rica. Se registraron un total de 1849 documentos representados por artículos científicos y libros publicados en revistas indexadas y editoriales en el campo de biología, ecología, conservación, cambio climático, entre otras. A pesar del aumento en las investigaciones biológicas en Costa Rica, los vacíos de información en ecosistemas naturales y alterados siguen siendo importantes y en este contexto, la bioacústica podría tomar un papel preponderante en la investigación en el país ya que combinada con otras disciplinas puede dar respuesta a interrogantes previas o nuevas preguntas de investigación en diversos campos.</p>
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.