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6,704 results for “reports”
Dataset for Report: "The Increasing Prominence of Prejudice and Social Justice Rhetoric in UK News Media"
<p>This data set contains frequency counts of target words in 16 million news and opinion articles from 10 popular news media outlets in the United Kingdom. The target words are listed in the associated report and are mostly words that denote prejudice or are often associated with social justice discourse. A few additional words not denoting prejudice are also available since they are used in the report for illustration purposes of the method.</p> <p>The textual content of news and opinion articles from the outlets is available in the outlet's online domains and/or public cache repositories such as Google cache (https://webcache.googleusercontent.com), The Internet Wayback Machine (https://archive.org/web/web.php), and Common Crawl (https://commoncrawl.org). We used derived word frequency counts from these sources. Textual content included in our analysis is circumscribed to articles headlines and main body of text of the articles and does not include other article elements such as figure captions.</p> <p>Targeted textual content was located in HTML raw data using outlet specific xpath expressions. Tokens were lowercased prior to estimating frequency counts. To prevent outlets with sparse text content for a year from distorting aggregate frequency counts, we only include outlet frequency counts from years for which there is at least 1 million words of article content from an outlet. This threshold was chosen to maximize inclusion in our analysis of outlets with sparse amounts of articles text per year. </p> <p>Yearly frequency usage of a target word in an outlet in any given year was estimated by dividing the total number of occurrences of the target word in all articles of a given year by the number of all words in all articles of that year. This method of estimating frequency accounts for variable volume of total article output over time.</p> <p>In a small percentage of articles, outlet specific XPath expressions might fail to properly capture the content of the article due to the heterogeneity of HTML elements and CSS styling combinations with which articles text content is arranged in outlets online domains. As a result, the total and target word counts metrics for a small subset of articles are not precise. In a random sample of articles and outlets, manual estimation of target words counts overlapped with the automatically derived counts for over 90% of the articles.</p> <p>Most of the incorrect frequency counts are often minor deviations from the actual counts such as for instance counting the word "Facebook" in an article footnote encouraging article readers to follow the journalist’s Facebook profile and that the XPath expression mistakenly included as the content of the article main text.To conclude, in a data analysis of over 16 million articles, we cannot manually check the correctness of frequency counts for every single article and hundred percent accuracy at capturing articles’ content is elusive due to the small number of difficult to detect boundary cases such as incorrect HTML markup syntax in online domains. Overall however, we are confident that our frequency metrics are representative of word prevalence in print news media content (see Figure 2 of main manuscript for supporting evidence of the temporal precision of the method).</p>
LoGov Poland Interview Report n°3
<p>The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Poland. To access the full transcription of this interview, the other interview reports on Poland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
Reporting Non-consensual Pornography: Clarity, Efficiency and Distress
<p>Experimental Data supporting the paper: Reporting Non-consensual Pornography:<br> Clarity, Efficiency and Distress</p>
Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho
<p>Pseudonymized dataset for the accepted manuscript "<em>Dolutegravir in Real Life: self-reported mental and physical health outcomes after transitioning from efavirenz- to dolutegravir-based antiretroviral therapy in a prospective cohort study in Lesotho</em>"</p>
Implantation Cyst of Anterior Chamber: A Case Report
<p>The following video is supplemental material for the manuscript "Implantation Cyst of Anterior: A Case Report" published in Case Reports in Ophthalmology by Peralta et al. in 2022 and is intended for educational purposes only. </p>
Raw EEG data for the experiment reported in "Understanding the effects of constraint and predictability in ERP"
<p>This repository contains the raw EEG data for the above-named paper. Preprocessing scripts are stored at: <a href="http://osf.io/fndk5/">https://osf.io/fndk5/</a></p> <p>The raw EEG data are the files *.eeg, *.vmrk and *.vhdr (BrainVision format EEG data). The numeric prefix indicates the participant ID. All three files must be stored in the same directory to work with the preprocessing script. Individual participant log files from the experimental presentation paradigm are stored in the zipped subdirectory opensesame_logs.zip. To work with the preprocessing script, these must be unzipped into a folder called opensesame_logs, stored in the folder containing the raw EEG files.</p> <p>A repository of intermediate preprocessing files based on the raw data is at <a href="http://zenodo.org/record/7002697">https://zenodo.org/record/7002697</a>.</p> <p>Note that the following raw files are included in the dataset for transparency but were not preprocessed for the final analysis: subject 15 due to a recording software crash mid-experiment, and subjects 40:43 as their EEG data were corrupted.</p>
[SUPERCEDED] Preprocessed EEG data for the experiment reported in "Understanding the effects of constraint and predictability in ERP"
<p>This repository contains <strong><em>an outdated version of</em></strong> intermediate preprocessing files for the above-named paper. Please see the current version here: <a href="https://zenodo.org/record/7334782">https://zenodo.org/record/7334782</a></p>
Diffusion MRI quality control reports for the BTC datasets
<p>Reports (HTML and pdf) of quality control on diffusion data on brain tumor patients before and after surgery, and controls, published at</p> <p>https://openneuro.org/datasets/ds001226 and https://openneuro.org/datasets/ds002080,</p> <p>based on Bastiani M, Cottaar M, Fitzgibbon SP, Suri S, Alfaro-Almagro F, Sotiropoulos SN, Jbabdi S, Andersson JLR. Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. Neuroimage. 2019 Jan 1;184:801-812. doi: 10.1016/j.neuroimage.2018.09.073. Epub 2018 Sep 26. PMID: 30267859; PMCID: PMC6264528.</p>
Report of microwave oven for synthesis of N/TiO2 photocatalysts
<p>This file contains reports created by the microwave oven during the synthesis of N/TiO2 photocatalysts, in which the temperature, inner pressure of the reaction vessel, and energy delivered by the equipment are controlled over time. </p>
Dataset underlying the Report of the Publication Analysis GOAL
<p>The swissuniversities-funded project GOAL (Unlocking the Green Open Access PotentiaL in scholarly and professional journals in Switzerland) aims to negotiate second publication policies with editors of practice-oriented journals, which are central for members of universities of applied sciences and universities of teacher education. As a first step, an analysis of the publication output of the largest universities of applied sciences and universities of teacher education in Switzerland for the years 2017-2021 was carried out to find out in which journals they publish most frequently. The data set complements the results of the publication analysis already prepared and published in 2020 as part of the OA-EASI project (Open Access for Educational and Applied Sciences).</p>
Suansu language from northeastern India: a field report
<p>This is the supporting audio material for the paper "Suansu language from northeastern India: a field report", to appear in Linguistics of the Tibeto-Burman Area. The data contains audio recordings of a 250 items wordlist based on Sagart et al. 2019 and of example sentences illustrated in the paper. All data is in WAV format. </p> <p>The material in this file may be freely quoted, copied, or reproduced for non-commercial purposes. If used, a citation is required.</p>
Data reported in development and cross-validation of a veterans mental health risk factor screen
<p>Background. VA primary care patients are routinely screened for current symptoms of PTSD, depression, and alcohol disorders, but many who screen positive do not engage in care. In addition to stigma about mental disorders and a high value on autonomy, some veterans may not seek care because of uncertainty about whether they need treatment to recover. A screen for mental health risk could provide an alternative motivation for patients to engage in care.</p> <p>Results. Twelve items assessing dissociation, emotional lability, life stress, and moral injury correctly classified 86% of those who later had elevated PTSD and/or depression symptoms (sensitivity) and 75% of those whose later symptoms were not elevated (specificity). Performance was also very good for 110 veterans who identified as members of ethnic/racial minorities.</p> <p>Conclusions. Mental health status was prospectively predicted in VA primary care patients with high accuracy using a screen that is brief, easy to administer, score, and interpret, and fits well into VA's integrated primary care. When care is readily accessible, appealing to veterans, and not perceived as stigmatizing, information about mental health risk may result in higher rates of engagement than information about current mental disorder status.</p>
User engagement analysis report
<p>This study looks at classification (transcribed) data from the three citizen research projects in <em>Engaging Crowds</em>, which were set up on the <a href="https://www.zooniverse.org/">Zooniverse</a> platform: <a href="https://www.zooniverse.org/projects/msalmon/hms-nhs-the-nautical-health-service"><em>HMS NHS: The Nautical Health Service</em></a>, <a href="https://www.zooniverse.org/projects/bogden/scarlets-and-blues"><em>Scarlets and Blues</em></a> and <a href="https://www.zooniverse.org/projects/emhaston/the-rbge-herbarium-exploring-gesneriaceae-the-african-violet-family"><em>The RBGE Herbarium: Exploring Gesneriaceae, the African violet family</em></a>.</p> <p>Each project presents volunteers with a series of tasks (known as ‘workflows’ in Zooniverse terminology). The projects and their workflows are summarised in Tables 1, 2 and 3 below. From these we can see that <em>HMS NHS</em> is the largest and longest-running of the three projects and so gives us our best sample of volunteer behaviour. We can also see that the workflows in <em>The RBGE Herbarium </em>were completed most quickly by volunteers, possibly aided by the project’s familiarity: it is perhaps most similar to the majority of Zooniverse projects, which deal with observational scientific data in simple workflows with short tasks. Volunteers tended to contribute to just one of the <em>Engaging Crowds </em>projects. Within the data analysed, only 13 volunteers contributed to all three projects.</p>
Volunteer survey report
<p>At the beginning of March 2022, we ran a survey to help us to understand more about the volunteers who have contributed to the three Engaging Crowds<em> </em>citizen research projects on the Zooniverse platform and to evaluate the indexing tool that was developed as part of the project.</p> <p>The survey link was circulated via a Zooniverse email newsletter to all registered volunteers who had taken part in these projects</p> <p>A total of 379 people took the survey, with 318 completing it and 61 partially completing it.</p> <p>The survey was divided into three sections, which asked volunteers to share reflections on their previous experience of citizen research, on the new Zooniverse indexing tool designed as part of Engaging Crowds, and on the wider impact of citizen research on their lives. This report includes responses to each quantitative question and a summary of qualitative responses. Respondents consented to their responses being analysed and the survey’s anonymised results published. </p> <p>Responses to this survey provide extensive evidence that online cultural heritage citizen research has an overwhelmingly positive self-reported impact on participants. Respondents cited a range of benefits to participation in online cultural heritage citizen research projects. These were a mixture of altruistic benefits, such as helping with research, giving back, and increasing access to records, and benefits to the individual, including providing opportunities for learning and development, filling in time productively, and gaining a sense of community.</p> <p>Feedback on the Zooniverse indexing tool was broadly positive. Many respondents reported that they liked being able to choose the subject set they worked on.</p> <p>The survey also suggests that online cultural heritage citizen research encourages participants to engage in follow-up activities and extend their engagement into their personal networks and wider society, for example, by talking to others, encouraging others to contribute, and engaging with related projects.</p>
Text Mining of Archaeological Reports for Urban farming (data and code)
<p>This release is created to create a DOI in Zenodo for the data related to Fischer, AD, van Londen, H, Blonk-van den Bercken, AL, Visser, RM and Renes, J. 2021. Urban farming and ruralisation in the Netherlands (1250 up tot the nineteenth century), unravelling farming practice and the use of (open) space by synthesising archaeological reports using text mining. Nederlandse Archeologische Rapporten 68. Amersfoort: Rijksdienst voor het Cultureel Erfgoed. <a href="https://www.cultureelerfgoed.nl/publicaties/publicaties/2021/01/01/urban-farming-and-ruralisation-in-the-netherlands">https://www.cultureelerfgoed.nl/publicaties/publicaties/2021/01/01/urban-farming-and-ruralisation-in-the-netherlands</a></p>
Fig. 4 in First report of viviparity of the stoneflies Capnia khingana (Plecoptera: Capniidae) in the Low Amur River Basin
Fig. 4. Female of Capnia khingana hatched embryos: A – first instar nymph exiting of
Fig. 5 in First report of viviparity of the stoneflies Capnia khingana (Plecoptera: Capniidae) in the Low Amur River Basin
Fig. 5. Female of Capnia khingana giving birth to first instar nymph.
Fig. 3 in First report of viviparity of the stoneflies Capnia khingana (Plecoptera: Capniidae) in the Low Amur River Basin
Fig. 3. Female of Capnia khingana with developing eggs, non hatched and hatched
Fig. 2 in First report of viviparity of the stoneflies Capnia khingana (Plecoptera: Capniidae) in the Low Amur River Basin
Fig. 2. Female of Capnia khingana with developing nymphal embryos throughout
Fig. 1 in First report of viviparity of the stoneflies Capnia khingana (Plecoptera: Capniidae) in the Low Amur River Basin
Fig. 1. Female reproductive system of Capnia khingana. Abbreviations: Ov – developing
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.