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253 results for “data publishing”
Supplements and raw data for article to be published in Open Linguistics
<p>Supplements A, B and C of article (docx and pdf versions) :</p> <p>Emmanuel Cartier, Alexander Onysko*, Esme Winter-Froemel, Eline Zenner, Gisle Andersen, Béryl Hilberink-Schulpen, Ulrike Nederstigt, Elizabeth Peterson, and Frank van Meurs (2022). Linguistic repercussions of COVID-19:A corpus study on four languages, Open Linguistics 2022; 8:1-16.</p> <p>A supporting web exploration interface is available here : <a href="https://tal.lipn.univ-paris13.fr/neoveille/html/covid19_project/html/data_exploration.php">Link to web interface</a></p> <p>Raw data for the supplements and the web interface are here :</p> <p><a href="https://zenodo.org/api/files/d633542e-cdbc-4f4b-a43b-5bf7895b8a7c/raw_data_virus_names.tar.gz">raw_data_virus_names.tar.gz</a> : the raw data of the virus names (with a file for all languages, and a file per language).</p> <p><a href="https://zenodo.org/api/files/d633542e-cdbc-4f4b-a43b-5bf7895b8a7c/raw_data_virus_associated_words.tar.gz">raw_data_virus_associated_words.tar.gz</a> : the raw data of the virus names associated words (with a file for all languages, and a file per language).</p>
Raw Data for manuscript published at Nanomaterials, entitled: Asymmetrical Plasmon Distribution in Hybrid AuAg Hollow/Solid Coded Nanotubes
<p>.dm3 TEM, STEM and EELS raw data</p>
Data and code for Keller et al. (2023) "Links between large igneous province volcanism and subducted iron formations," published in Nature Geoscience
<p>Data and computer code used to generate results for Keller et al. (2023) "<em>Links between large igneous province volcanism and subducted iron formations</em>." A readme file in the folder gives a description for each file. Data may also be accessed from the article link on the publisher's website.</p>
Data underlying the study on 'Lability and the rigidification of word order. Evidence from Early Middle English', published in 'Linguistics'
<p>see the publication for a description of the data</p>
Data for arricle entitled 'The grammaticalization of manner expressions into complementizers: Insights from Semitic languages', published in Linguistics
<p>see publication</p>
Experiment-based data published in "Entropy, pitch, and noise: organization and disorganization in the perception of closure for different types of spectra", JNMR
<p>This folder contains both the sonic excerpts used for an experiment measuring the level of perceived closure for sound stimuli presenting pitch, bell, and noise spectral structures, and the web application created to run the experiment. The web application can be uploaded in any server for trying it our.</p>
Raw data regarding the analysis published in the paper "Signatures of dysbiosis in fish microbiomes in the context of aquaculture" in Reviews in Aquaculture
<p>This dataset contains supporting material to the paper "Signatures of dysbiosis in fish microbiomes in the context of aquaculture" published in Reviews in Aquaculture</p>
Data from: Comparing methods for SNP calling from Genotyping-By-Sequencing (GBS) data for a large-genome conifer without a published genome sequence
Open the record for dataset details and reuse information.
Data from: Reporting guidelines for community-based participatory research (CBPR) did not improve the reporting quality of published studies: a systematic review of studies on smoking cessation
Open the record for dataset details and reuse information.
Newly discovered cichlid fish biodiversity threatened by hybridization with non-native species - Data supporting published version
Open the record for dataset details and reuse information.
Data from: A scoping review of published literature on chikungunya virus
Open the record for dataset details and reuse information.
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)
Open the record for dataset details and reuse information.
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.
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>
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>
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>
Diffraction data for ammonium arsenites published in CrystEngComm
<p>Diffraction data for:</p> <p>ammonium arsenite</p> <p>ethylenediammonium arsenite</p> <p>benzylammonium arsenite</p> <p>methylammonium arsenite hydrate</p> <p>ethanolamonnium arsenite</p>
Data file associated with the article "The similarity of phonological skills underpinning reading ability in shallow and deep orthographies: a bilingual perspective" published in International the Journal of Bilingual Education and Bilinguialism late 2020/early 2021.
<p>This dataset is the one used in conjunction with the article in the title.</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.