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6,025 results for “Science of science”
Research table for visualization of research performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics via different communication channels
<p>A collection of data for (a practice) work during my studies for Bachelor. Since there wasn't much time given the data collection isn't as complete as it could be. Also, all text is in German.</p> <p>Definition of variables for data collection can be found in my finished work "How is reserach performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics made visible via different communication channels; analysis of information of publication on official social media channels and news on offical webside" (in question to be published on Zenodo).</p> <p>Collected data from following official communication channels: Facebook, Twitter, Blogs, Google +, Youtube, Flickr, LinkedIn, Research-Gate, Slideshare, repository and news on websites. For some channels not all data could be collected. Research period from 01.08.2016 to 01.02.2017 (half a year).</p>
Figure 2. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 2. - Time line of the tasks in UNICORN-project
Figure 1. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 1. - Links and interactions between the work packages
OAPEN usage report for open access books funded by the Austrian Science Fund (FWF) 2014 - 2016
<p>For several years now, the Stand-Alone Publications Programme by the Austrian Science Fund (FWF) has been funding the production and simultaneous open-access publication of academic books, see: <a href="http://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/">http://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</a></p> <p>All FWF-funded books are accessible free of charge in the FWF E-Book Library <a href="https://e-book.fwf.ac.at/">https://e-book.fwf.ac.at/</a> and in the OAPEN Library <a href="http://www.oapen.org/search">http://www.oapen.org/search</a>. </p> <p>The OAPEN Library’s annual data on book usage for 2014 to 2016 shows that the number of archived open-access books is rising steadily, as is the number of downloads per book.</p>
Survey: Open Science in Higher Education
<p>Open Science in (Higher) Education – data of the February 2017 survey</p> <p>This data set contains: </p> <ul> <li>Full raw (anonymised) data set (completed responses) of Open Science in (Higher) Education February 2017 survey. Data are in xlsx and sav format.</li> <li>Survey questionnaires with variables and settings (German original and English translation) in pdf. The English questionnaire was not used in the February 2017 survey, but only serves as translation.</li> <li>Readme file (txt)</li> </ul> <p>Survey structure</p> <p>The survey includes 24 questions and its structure can be separated in five major themes: material used in courses (5), OER awareness, usage and development (6), collaborative tools used in courses (2), assessment and participation options (5), demographics (4). The last two questions include an open text questions about general issues on the topics and singular open education experiences, and a request on forwarding the respondent’s e-mail address for further questionings. The online survey was created with Limesurvey[1]. Several questions include filters, i.e. these questions were only shown if a participants did choose a specific answer beforehand ([n/a] in Excel file, [.] In SPSS). </p> <p>Demographic questions</p> <p>Demographic questions asked about the current position, the discipline, birth year and gender. The classification of research disciplines was adapted to general disciplines at German higher education institutions. As we wanted to have a broad classification, we summarised several disciplines and came up with the following list, including the option “other” for respondents who do not feel confident with the proposed classification:</p> <ul> <li>Natural Sciences</li> <li>Arts and Humanities or Social Sciences</li> <li>Economics</li> <li>Law</li> <li>Medicine</li> <li>Computer Sciences, Engineering, Technics</li> <li>Other</li> </ul> <p>The current job position classification was also chosen according to common positions in Germany, including positions with a teaching responsibility at higher education institutions. Here, we also included the option “other” for respondents who do not feel confident with the proposed classification:</p> <ul> <li>Professor</li> <li>Special education teacher</li> <li>Academic/scientific assistant or research fellow (research and teaching)</li> <li>Academic staff (teaching)</li> <li>Student assistant</li> <li>Other</li> </ul> <p>We chose to have a free text (numerical) for asking about a respondent’s year of birth because we did not want to pre-classify respondents’ age intervals. It leaves us options to have different analysis on answers and possible correlations to the respondents’ age. Asking about the country was left out as the survey was designed for academics in Germany.</p> <p>Remark on OER question</p> <p>Data from earlier surveys revealed that academics suffer confusion about the proper definition of OER<sup><sup>[2]</sup></sup>. Some seem to understand OER as free resources, or only refer to open source software (Allen & Seaman, 2016, p. 11). Allen and Seaman (2016) decided to give a broad explanation of OER, avoiding details to not tempt the participant to claim “aware”. Thus, there is a danger of having a bias when giving an explanation. We decided not to give an explanation, but keep this question simple. We assume that either someone knows about OER or not. If they had not heard of the term before, they do not probably use OER (at least not consciously) or create them. </p> <p>Data collection</p> <p>The target group of the survey was academics at German institutions of higher education, mainly universities and universities of applied sciences. To reach them we sent the survey to diverse institutional-intern and extern mailing lists and via personal contacts. Included lists were discipline-based lists, lists deriving from higher education and higher education didactic communities as well as lists from open science and OER communities. Additionally, personal e-mails were sent to presidents and contact persons from those communities, and Twitter was used to spread the survey.</p> <p>The survey was online from Feb 6<sup>th</sup> to March 3<sup>rd </sup>2017, e-mails were mainly sent at the beginning and around mid-term. </p> <p>Data clearance</p> <p>We got 360 responses, whereof Limesurvey counted 208 completes and 152 incompletes. Two responses were marked as incomplete, but after checking them turned out to be complete, and we added them to the complete responses dataset. Thus, this data set includes 210 complete responses. From those 150 incomplete responses, 58 respondents did not answer 1st question, 40 respondents discontinued after 1st question. Data shows a constant decline in response answers, we did not detect any striking survey question with a high dropout rate. We deleted incomplete responses and they are not in this data set.</p> <p>Due to data privacy reasons, we deleted seven variables automatically assigned by Limesurvey: submitdate, lastpage, startlanguage, startdate, datestamp, ipaddr, refurl. We also deleted answers to question N<sup>o</sup> 24 (email address).</p> <p>References</p> <p>Allen, E., & Seaman, J. (2016). <em>Opening the Textbook: Educational Resources in U.S. Higher Education, 2015-16.</em></p> <p> </p> <p>First results of the survey are presented in the poster:</p> <p>Heck, Tamara, Blümel, Ina, Heller, Lambert, Mazarakis, Athanasios, Peters, Isabella, Scherp, Ansgar, & Weisel, Luzian. (2017). Survey: Open Science in Higher Education. Zenodo. http://doi.org/10.5281/zenodo.400561</p> <p>Contact:</p> <p>Open Science in (Higher) Education working group, see http://www.leibniz-science20.de/forschung/projekte/laufende-projekte/open-science-in-higher-education/.</p> <p> </p> <p>[1] https://www.limesurvey.org</p> <p>[2] The survey question about the awareness of OER gave a broad explanation, avoiding details to not tempt the participant to claim “aware”. </p>
Austrian Science Fund (FWF) Open Access Compliance Monitoring 2016
<p><strong>I. Executive summary</strong></p> <p>The Austrian Science Fund (FWF), which is Austria's main funding organisation for basic research, encourages and helps all project leaders and project staff members to make their peer-reviewed research results freely available on the Internet. Since 1 January 2016, open access has been mandatory for all peer-reviewed publications listed in final reports on FWF-funded projects. Any exceptions must be clearly indicated and justified. For projects that started after 1 January 2015, open access has been compulsory for all peer-reviewed publications.</p> <p>All principal investigators in FWF-funded projects are obliged to submit a final report within three months of completing their projects.</p> <p>The publications and other data mentioned in those reports are archived and analysed by the FWF. This report examines the state of compliance with open access requirements on the basis of final project reports submitted in the year 2016.</p> <p>Main findings:</p> <ul> <li>A total of 6,994 publications were listed in the final project reports submitted in 2016.</li> <li>Of those publications, 5,146 were conclusively identified as peer-reviewed.</li> <li>Regarding compliance with the FWF's Open Access Policy, the report shows that 92% of the peer-reviewed publications that arose from FWF projects in 2016 are openly accessible (2015: 83%).</li> <li>The most frequently chosen option is hybrid open access (40%). Since last year's report, the use of green open access has increased by 3%, other open access by 5%, and gold open access by 2%.</li> <li>The majority of peer-reviewed publications submitted are journal articles, 93% of which are openly accessible.</li> <li>The lowest rate of compliance with the FWF's Open Access Policy can be found in editions, contributions to edited volumes and monographs (58%).</li> <li>Although open access is not compulsory, 48% of non peer-reviewed publications are freely available through the internet.</li> <li>The absolute number of publications listed in final reports in 2016 includes 321 publications that are mentioned several times in different projects; however, those repetitions do not ultimately affect the relative share of open access publications (92%).</li> </ul> <p><strong>II. Bias</strong></p> <p>All publications were entered in the FWF’s database manually and with the utmost care when the final project reports were received. Nevertheless, it is not possible to rule out minor errors entirely. Moreover, some systematic problems need to be solved in the future; the FWF is currently preparing to implement a research information system in which FWF-funded researchers will be able to enter and update their research data on an ongoing basis.</p> <ul> <li>Due to the amount of data involved, it was not possible to check the current open access status of all publications twice. The last check was performed in January 2017.</li> <li>In some cases, the embargo period may have expired after submission, and publications labelled "Other open access" in the FWF’s database may now be accessible through green open access.</li> <li>Whenever the status "peer-reviewed" could not be clearly identified according to FWF guidelines, the publications were classified as non peer-reviewed.</li> </ul>
Austrian Science Fund (FWF) Publication Cost Data 2016
<p>Following the approach for the datasets in 2013 (http://dx.doi.org/10.6084/m9.figshare.988754), 2014 (https://dx.doi.org/10.6084/m9.figshare.1378610.v14) and 2015 (https://doi.org/10.6084/m9.figshare.3180166), the Austrian Science Fund (FWF) is making the publication costs spent in 2016 (esp. for Open Access) publically available.</p> <p>The dataset includes payments for publications of authors funded by the Austrian Science Fund (FWF) via following programmes:</p> <p>Peer-Reviewed Publications: https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</p> <p>Stand-Alone Publications: https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</p>
Grib and ASCII data, subset ERA-I for shallow water waves Ocean Science study
<p>Specific output from ERA-I reanalysis (wave model component) containing interated parameters, see https://doi.org/10.5194/os-13-1-2017</p>
Dataset for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes"
<p>This is the dataset used for the analysis in Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes, by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. </p> <p> </p> <p>Copyright &copy; 2017 John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus.</p> <p><br> Dataset for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes" by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus is licensed under a Creative Commons Attribution 4.0 International License.</p>
Japan Agency for Marine-Earth Science and Technology: jamstec DwCA file
Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has the main objective to contribute to the advancement of academic research in addition to the improvement of marine science and technology by proceeding the fundamental research and development on marine, and the cooperative activities on the academic research related to the Ocean for the benefit of the peace and human welfare. <p></p>http://www.jamstec.go.jp/<p></p>Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has the main objective to contribute to the advancement of academic research in addition to the improvement of marine science and technology by proceeding the fundamental research and development on marine, and the cooperative activities on the academic research related to the Ocean for the benefit of the peace and human welfare. <p></p>http://www.jamstec.go.jp/
Glosario: A multilingual glossary for computing and data science terms.
<p><code>glosario</code> is an open-source glossary of terms used in data science that is available online and also as a library in both <a href="https://github.com/carpentries/glosario-r/">R</a> and <a href="https://github.com/carpentries/glosario-py/">Python</a>. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the <code>glossary.yml</code> file. </p>
Data from: Diversifying large-scale participatory science: The efficacy of engagement through facilitator organizations
<p class="MsoNormal"><span>Large-scale, scientist-led, participatory science (citizen science) projects often engage primarily participants who are White, wealthy, and well-educated. Calls to diversify contributory projects are increasingly common, but little research has evaluated the efficacy of suggested strategies for diversification. We engaged participants in Crowd the Tap through facilitator organizations like Historically Black Colleges and Universities (HBCUs), predominantly White institutions (PWI), high school science classrooms, and corporate volunteer programs. Crowd the Tap is a contributory project focused on identifying and addressing lead contamination in household drinking water in the United States. We investigated how participant diversity with respect to race, ethnicity, and homeownership (a proxy for income) differed between participation facilitated through a partner organization and in unfacilitated participation in which participants came to the project independently. We were also interested in which facilitators were most effective at increasing participant diversity. White and wealthy participants were overrepresented in unfacilitated participation. Facilitation helped increase engagement of people of color, especially Black households, and lower-income households. High schools were particularly effective at engaging Hispanic or Latino participants and HBCUs were important for engaging Black households. Ultimately, our results suggest that engagement through facilitator organizations may be an effective means of engaging diverse participants in large-scale projects. Our results have important implications for the field of participatory science as we seek to identify evidence-based strategies for diversifying project participants. </span></p>
Citizen science data reveals altitudinal movement and seasonal ecosystem use by hummingbirds in the Andes Mountains
Ensuring connectivity is crucial to protect landscapes but it requires knowledge about how animals use ecosystems throughout the year. However, animal movements remain largely unknown in biodiversity hotspots, even for species that fulfill key ecological roles, as is the case of hummingbirds in the Andes. In the complex topography of mountain slopes, movement of these avian pollinators may occur either between habitat patches with asynchronous plant blooms or across ecosystems that are located within same elevation bands or along altitudinal gradients. Here, we used two decades (2000-2020) of records from citizen science data and boosted regression trees to predict monthly distributions for 55 hummingbird species in the Andes. We identified shifts in altitudinal distribution between contiguous months and calculated changes in the proportion of predicted distributions occupied by ecosystem types. Our findings reveal substantial altitudinal movement and differences in the proportion of ecosystem types utilized throughout the year that had not been previously reported for several species. Yet the magnitude of altitudinal and ecosystem shifts varies between hummingbird clades, and in some cases changes in the proportion of ecosystem types within estimated distributions occurs with little variation in altitude. All ecosystems across the Andes show temporal changes in hummingbird occurrence, but these are higher in natural landscapes compared to croplands or urban areas. Finally, we used phylogenetic logistic regression to test whether altitudinal and ecosystem shifts affect population trends. We found that higher ecosystem seasonality is more strongly associated with decreasing populations in comparison to altitudinal shifts. Altogether, our study reveals complex patterns of movement in hummingbirds and highlights the importance of ecological connectivity across different ecosystem types. More generally, it demonstrates the opportunity of using citizen science data to increase understanding about species' seasonal occurrences so that landscapes can be better managed to protect animal movement.
English-language articles related to petrophysics retrieved from the SSCI sub-database of Web of Science core database (Time: 2000.01.01-2022.12.31)
<p>According to the research content of petrophysics, petrophysics can be divided into eight branches: rock electricity, rock acoustics, rock nuclear physics, rock mechanics, rock thermophysics, rock nuclear magnetic resonance spectroscopy(NMR), rock gravimetry (density), and rock magnetism. This dataset presents the scientific literature retrieved by selecting the "Science Citation Index Expanded(SCI-EXPANDED)-- 1982-present" sub-library from the core collection database of Web of Science. </p>
For the people by the people: citizen science web interface for real-time monitoring of tick risk areas in Finland
<p>Ticks and tick-borne diseases (TBDs) form a significant and growing threat to human health and well-being in Europe, with increasing numbers of tick-borne encephalitis (TBE) and Lyme borreliosis cases being reported during the past few decades. Increasing knowledge of tick risk areas and seasonal activity remains the primary method for preventing TBDs. Crowdsourcing provides the best alternative for rapidly obtaining data on tick occurrence on a national level.</p> <p>In order to produce and share up-to-date data about tick risk areas in Finland, an online platform, Punkkilive (www.punkkilive.fi/en), was launched in April 2021. On the website, users can submit and browse tick observations, report tick numbers and hosts, and upload pictures of ticks.</p> <p>Here, we looked at trends in the crowdsourced data from 2021, assessed the effect of local tick species on seasonality of observations, and examined sampling bias in the data.</p> <p>The high number of tick observations (n=78 837) highlights that there was demand for such a service. Approximately 97% of 5573 uploaded pictures represented ticks. Seasonal patterns of tick observations varied across Finland, highlighting variability in the risk associated with the two human-biting tick species <em>Ixodes ricinus</em> and <em>I. persulcatus</em>, the latter having a shorter, unimodal activity peak in late spring–early summer. Tick numbers were low and the proportion of new sightings was high in northern Finland, as may be expected near the latitudinal distribution limits of both species. While the number of inhabitants generally explained the number of tick observations well, geographically weighted regression models also identified areas that deviated from this general pattern.</p> <p>This study offers a prime example of how crowdsourcing can be applied to track vectors of zoonotic diseases, to the benefit of both researchers and the public. Areas with more or fewer observations than predicted based on number of inhabitants were revealed, wherein more specific analyses may reveal factors contributing to lower or higher risk levels that may be used in increasing awareness. We hope that the success of Punkkilive serves to highlight the usefulness of citizen science in the prevention of vector-borne diseases.</p>
(Dataset) Similarity in Consumption Patterns among Peasant Communities in Roman Central Hispania through Network Science
<p>Dataset and R script for the Brainerd-Robinson similarity analyses and dataset of the paper Similarity in Consumption Patterns among Peasant Communities in Roman Central Hispania through Network Science. Journal of Computer Applications in Archaeology. </p>
Youth, Science, education and struggles to preserve fragile ecosystems in South America
<p>Presentation made at Panel 5, the Educational, Ethical, and Preservationist Water Question, The Youth and the Climatic Struggle, First International Forum of the Federal University of Pernambuco (UFPE), in Preparation for the 2025 UNCOP30, 21-24 November 2023 Recife, Pernambuco, Brazil.</p>
Dataset of five citizen science platforms with reagards endemic bird species of the Atlantic Forest
<p>Data on the contribution of observers of five different citizen science platforms in Brazil (eBird, WikiAves, Biofaces, iNaturalist, and Táxeus) related to endemic bird species in the Atlantic Forest.</p>
Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.
<p>Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.</p>
SeaPaCS Participatory Citizen Science against Marine Pollution_The Video
<p><a href="">Final video of the European project SeaPaCS – </a>Participatory Citizen Science Against Marine Pollution (coordinated by Prof. Chiara Certomà of the University of Turin – ESOMAS Department – and funded by the European Project IMPETUS). Then video is produced by Raw-News, shot by Giuseppe Lupinacci with the direction of Federico Fornaro and the support of Davide Rinaldi of the "Capo d'Anzio Diving Center". It presents the problem of plastic in the sea, now present at all levels of the food chain, which is increasingly evident to everyone and is profoundly changing ecologies, economies and our relationship with the sea. </p>
ScienceDex guides
Understand access before you commit
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.