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465 results for “academics”
Dataset Challenges and Opportunities for Academic Parents during COVID-19
<p>Anonimized dataset of the survey on the impact of COVID-19 on academic parents. Participants who did not give consent were filtered out as well.</p>
Codes and Datasets for: 'The Largest Academic Publishers of Scholarly Journals: A Webscraping Approach'
<p>This set comprises:</p> <ul> <li>"<strong>count_publishers*</strong>": four R codes ("count_publishers*") that draw from <em>DOAJ</em>, <em>Publons</em>, <em>Scopus </em>and <em>SherpaRomeo</em> to extract scholarly publishers and the journal counts assigned to each publisher;</li> <li>"<strong>data*</strong>": two underlying data samples (from <em>DOAJ </em>and <em>Scopus</em>) - the two other samples are accessed via webscraping;</li> <li>"<strong>harmonize*</strong>": one text-file and one R-code for harmonizing publisher names;</li> <li>"<strong>alljournals.xlsx</strong>": the resulting list of scholarly publishers ordered by the highest number of journal counts assigned to them.</li> </ul>
Geolocation of German Academic Institutions
<p>The dataset has four columns; Name of the institution, Homepage, Latitude, Longitude. </p> <p>The entries in each row are delimited by a semicolon.</p>
On the alignment of academic publishers’ embargos with H2020 requirements - Dataset
<p> </p> <p>-- ATTENTION PLEASE: RIGHT NOW THE DATASET IS UNDER INDEPENDENT DOUBLE CHECK TO TEST THE PRESENCE OF POSSIBLE ERRORS : PLEASE CONTACT THE AUTHOR FOR FURTHER INFO --</p> <p> </p> <p>This dataset refers to the breifing paper "On the alignment of academic publishers’ embargos with H2020 requirements" (https://nexacenter.org/nexacenterfiles/WoS-Romeo-analysis%20APS-final.pdf) published in the ambit of the European project Pasteur4OA (http://www.pasteur4oa.eu/).</p> <p> </p> <p>We wanted to understand how the publishing behaviour of EU researchers might be affected by the H2020 policy requirement to ensure Open Access (OA) to all articles from EU-funded projects within 6 months for science and engineering projects and 12 months for humanities and social science studies. Many publishers impose an embargo on ‘Green’ Open Access, where researchers deposit their articles in repositories, and these embargoes can be longer than the maximum permitted by the H2020 policy. The issue was whether researchers may have to alter their publishing behaviour or can they continue to publish in journals of their choice and still comply with the H2020 requirements. The following research questions were posed:</p> <p>1) What is the level of compliance of current publishers’ embargo policies with the H2020 requirements?<br> 2) How many journals are compliant with the H2020 requirements?</p> <p>The overall findings were that 90% of publishers used by EU researchers to publish their work and 94% of articles published by EU researchers are compatible with the H2020 Open Access policy requirements. Our conclusion is that only in a small minority of cases – 5-10% – would EU researchers’ normal publishing behaviour run contrary to H2020 rules. </p> <p> </p> <p>The zip file containing the data used, divided by access to the post-prints: </p> <p>- ok Open Access</p> <p>- no Open Access</p> <p>- unclear</p> <p>- OA with restrictions, but compliant to H2020</p> <p>- OA with restrictions, not compliant to H200</p> <p>- OA with restrictions, not clear</p> <p>The data model is available on the paper (https://nexacenter.org/nexacenterfiles/WoS-Romeo-analysis%20APS-final.pdf)</p>
LIBER Academic Librarians RDS Data Set
<p>Included are the data set used in the LIBER/Second Academic Libraries Follow-Up Assessment, the survey instrument, and an about file are available.</p>
Dataset for: Research data management in academic institutions: a scoping review
<p><strong>Overview</strong></p> <p>This dataset contains the raw data for the manuscript: <br> Perrier L, Blondal E, Ayala AP, Dearborn D, Kenny T, Lightfoot D, Reka R, Thuna M, Trimble L, MacDonald H. Research data management in academic institutions: A scoping review. PLOS One. 2017 May 23;12(5):e0178261. doi: 10.1371/journal.pone.0178261.</p> <p>Full-text available at: <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178261 ">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178261 </a></p> <p><strong>Data and Documentation Files</strong> </p> <p>Five files make up the dataset: </p> <ol> <li>Data Dictionary: RDMScopingReview_DataDictionary.pdf</li> <li>Data Abstraction Sheet: RDMScopingReview_StudyCharacteristics.csv</li> <li>Data Abstraction Sheet: RDMScopingReview_Setting.csv</li> <li>Data Abstraction Sheet: RDMScopingReview_DataCollectionTools.csv</li> <li>Data Abstraction Sheet: RDMScopingReview_Outcomes.csv</li> </ol> <p>Contact: Laure Perrier: <a href="https://orcid.org/0000-0001-9941-7129">orcid.org/0000-0001-9941-7129</a></p>
A Questionnaire to Assess the Research Practices and Services Related to the Academic and Research Staff at the Institutions of Higher Education in Palestine - Survey Data
<p>Data generated as part of a needs assessment survey conducted as part of ROMOR, a project funded by the Erasmus Plus Programme of the European Union in the period from October 2016 to October 2019. A questionnaire was prepared under the supervision of Palestinian Universities participating in the project. The results of the study will be used to create and develop institutional repositories to store the digital outputs of scientific research at the institutions of higher education in Palestine. The results will be also used to provide the vocational and academic training, and the institutional policies required to manage, organize the use, and populate the prospective repositories. This objective will contribute in promoting the access to and benefit of the results of scientific research in Palestine, and increase its impact at the local and international levels. This questionnaire was distributed to the representative of each institution, who in turn forwarded it to the suitable persons in the institution. Data was collected between January 4th and February 19th 2017. Paper and electronic versions of a questionnaire were prepared in both Arabic and English. The project coordinators at partner PS HEIs were requested to circulate the electronic questionnaire to all researchers and members of academic staff. Data was collected by ROMOR partners at:</p> ● The Islamic University of Gaza (IUG) ● Al-Quds Open University (QOU) ● Birzeit University (BZU) ● Palestine Technical University-Kadoori (KAD)
A Questionnaire to Assess the Research Practices and Services Related to the Academic and Research Staff at the Institutions of Higher Education in Palestine - Survey Data with Pie Charts
<p>Data generated as part of a needs assessment survey conducted as part of ROMOR, a project funded by the Erasmus Plus Programme of the European Union in the period from October 2016 to October 2019. A questionnaire was prepared under the supervision of Palestinian Universities participating in the project. The results of the study will be used to create and develop institutional repositories to store the digital outputs of scientific research at the institutions of higher education in Palestine. The results will be also used to provide the vocational and academic training, and the institutional policies required to manage, organize the use, and populate the prospective repositories. This objective will contribute in promoting the access to and benefit of the results of scientific research in Palestine, and increase its impact at the local and international levels. This questionnaire was distributed to the representative of each institution, who in turn forwarded it to the suitable persons in the institution. Data was collected between January 4th and February 19th 2017. Paper and electronic versions of a questionnaire were prepared in both Arabic and English. The project coordinators at partner PS HEIs were requested to circulate the electronic questionnaire to all researchers and members of academic staff. Data was collected by ROMOR partners at:</p> <p>● The Islamic University of Gaza (IUG)</p> <p>● Al-Quds Open University (QOU)</p> <p>● Birzeit University (BZU)</p> <p>● Palestine Technical University-Kadoori (KAD)</p> <p>[Data visualised as pie charts]</p> <p> </p>
Data for: A path forward: creating an academic culture of justice, equity, diversity and inclusion
<p>Institutions of higher education (IHE) throughout the United States have a long history of acting out various levels of commitment to diversity advancement, equity, and inclusion (DEI). Despite decades of DEI "<em>efforts</em>," the academy is fraught with legacies of racism that uphold white supremacy and prevent marginalized populations from full participation. Furthermore, politicians have not only weaponized education but passed legislation to actively ban DEI programs and censor general education curricula (<a href="https://tinyurl.com/antiDEI">https://tinyurl.com/antiDEI</a>). Ironically, systems of oppression are particularly apparent in the fields of Ecology, Evolution, and Conservation Biology (EECB)–which recognize biological diversity as essential for ecological integrity and resilience. Yet, amongst EECB faculty, people who do not identify as cis-heterosexual, non-disabled, affluent white males are poorly represented. Furthermore, IHE lack metrics to quantify DEI as a priority. Here we show that only 30.3% of US-faculty positions advertised in EECB from Jan 2019-May 2020 required a diversity statement; diversity statement requirements did not correspond with state-level diversity metrics. Though many announcements "encourage women and minorities to apply," empirical evidence demonstrates that hiring committees at most institutions did not prioritize an applicant's DEI advancement potential. We suggest a model for change and call on administrators and faculty to implement SMART (i.e., Specific, Measurable, Achievable, Realistic, and Timely) strategies for DEI advancement across IHE throughout the United States. We anticipate our quantification of diversity statement requirements relative to other application materials will motivate institutional change in both policy and practice when evaluating a candidate's potential "fit". IHE must embrace a leadership role to not only shift the academic culture to one that upholds DEI, but to educate and include people who represent the full diversity of our society. In the current context of political censure of education including book banning and backlash aimed at Critical Race Theory, which further reinforce systemic white supremacy, academic integrity and justice are more critical than ever. </p>
Basic list of international academic societies related to ecology and evolutionary biology.
<p>List of international societies related to ecology, evolutionary biology or whole-organism biology. The list is based on the table from Lagisz et al. (2023) (top 16 societies), appended with additional societies from internet searches, personal communication and societies associated with journals listed in SCImago under Ecology, Evolution, Behaviour and Systematics category. Alternative society names (usually in a non-English language) are not shown. Abbreviated society names (non-unique) usually match the official abbreviated society names (English or nn-English), but if abbreviation was not found on the website it was made up from the English society name. In the "Extract" column, "Yes" indicates active societies with individual membership.</p>
Academic publishing requires linguistically inclusive policies
<p>Curated databases of the project "Academic publishing requires linguistically inclusive policies." </p> <p>"CuratedDatabase_Guidelines.txt" and "CuratedDatabase_Survey.txt" contain information about the linguistic policies of journals in biological sciences. Their information was collected from author guidelines and surveys to editors-in-chief, respectively. Additional information from the journal was extracted from the 2020 Journal Citation Reports (JCR).</p> <p><strong>Description, data type, and scoring options of the databases' fields (columns)</strong></p> <p>"CuratedDatabase_Guidelines.txt"'</p> <ul> <li>Collaborator: Anonymised identifier of collaborator who collected the information. Categorical.</li> <li>SurveyAnswer: Whether the editor-in-chief of the editor accepted the request to complete the survey. Categorical. YES, NO.</li> <li>Journal_JCR: Anonymised identifier of the journal name. Text.</li> <li>ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.</li> <li>OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.</li> <li>Discipline_JCR: Discipline of the journal as per JCR. Categorical.</li> <li>CountryPublication_JCR: Country or region of publication of the journal as per JCR. Categorical.</li> <li>LanguageCountry: Language of the country where the journal is published. Categorical. English, Non-English.</li> <li>IssuesPerYear_JCR: Regularity as number of issues published by year as per JCR. Numeric.</li> <li>PublisherType: Business model of the journal's publisher. Categorical. Profit, Non-profit.</li> <li>SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.</li> <li>Language: Languages in which the journal publish content. Text.</li> <li>RegionalGlobal: Whether the journal explicitly target to a global or regional audience. Categorical. Global, Regional.</li> <li>LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.</li> <li>EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.</li> <li>AdditionalSupport: Additional support that journals offer to authors. Text.</li> <li>AdditionalLanguageGuidelines: Whether the author guidelines are available in languages other than English. Categorical. 0 for ONLY ENGLISH, 1 for ADDITIONAL LANGUAGES IN SOME SECTIONS, 2 for ADDITIONAL LANGUAGES.</li> <li>LanguageGuidelines: If apply, languages in which the author guidelines are available.</li> <li>LinguisticInclusivityStatement: Whether the journal clearly states that a paper will not be rejected solely by the perceived quality of English. Categorical. NO, YES.</li> <li>AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>WhereSecondAbstract: If apply, the format in which the journal publish abstracts in languages other than English. Categorical.</li> <li>ProofReadingAL: If apply, whether the non-English content is proofread. Categorical. </li> <li>ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.</li> <li>AutomaticTranslationTools: Whether the journal's website implement machine translation tools to read the manuscripts in languages other than English. 0 for NO, 1 for YES.</li> </ul> <p>"CuratedDatabase_Survey.txt"</p> <ul> <li>Journal_JCR: Anonymised identifier of the journal name. Text.</li> <li>ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.</li> <li>OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.</li> <li>SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.</li> <li>LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.</li> <li>AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.</li> <li>ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.</li> <li>InstructionsReviewers: Whether reviewers are instructed to avoid recommending the rejection manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.</li> <li>InstructionsEditors: Whether editors are instructed to avoid rejecting manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.</li> <li>YearStartLinguisticPolicies: For journals that publish content in languages other than English, the year in which those policies were implemented. Numeric. Values "1920" correspond to "Before 1920."</li> <li>AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> </ul>
Microbial Load on Dental Students' Hands: A Gender and Academic Stage Analysis
<p>This dataset supports a study investigating microbial contamination on the hands of dental students at Al-Hadi University College. The data were collected using impression sampling of the index and thumb fingers of 35 students (17 males, 18 females) from the third, fourth, and fifth academic years. Sampling occurred at the end of academic or clinical activities, and bacterial load was measured using colony-forming units (CFUs) cultured on MacConkey agar. Variables in the dataset include gender, academic stage, handedness, and CFU counts.</p>
VABB-SHW: Dataset of Flemish Academic Bibliography for the Social Sciences and Humanities (edition 14)
<p>This dataset contains the fourteenth edition of the <em>Flemish Academic Bibliography for the Social Sciences and Humanities (VABB-SHW)</em>, a database of academic publications from the social sciences and humanities authored by researchers affiliated to Flemish universities (<a href="https://www.ecoom.be/en/data-collections/vabb-shw">more information</a>). Publications in the database are used as one of the parameters of the Flemish performance-based research funding system. Only approved publications are included in this dataset.</p>
Data from "The academic impact of Open Science: a scoping review"
<p>These files include the data from the "The societal impact of Open Science - a scoping review", part of a series of studies conducetd within the PathOS Horizon Europe project on the academic, economic, and societal impacts of Open Science. This study was conducted in two phases. In phase 1 an academic database search was conducted. For phase 2 an automatic snowball search was performed based on results from phase 1 ( and grey literature was searched manually.</p> <p>The upload contains five files:</p> <ol> <li>Main file with extracted information for the 485 studies included in the review ("academic_impact_included_all_data.csv").</li> <li>Excel file documenting the grey literature search ("Grey_Literature_Search.xlsx").</li> <li>R project for the snowball search ("academic_impact_snowball.zip").</li> <li>R project for cleaning data and producing summaries and figures ("academic_impact_stats.zip").</li> <li>Excel file mapping the frascati codes used in file (1) to their textual representations ("Frascati definitions.xlsx")</li> </ol> <p>For more details on the methods see the <a href="https://osf.io/m4rnc">protocol</a> and its <a href="https://osf.io/3b6xj">addendum</a>. For the background, results and discussion see the <a href="../records/7883699">deliverable</a> (reporting on phase 1) and the pre-print.</p>
Dataset related to article "How Academics and the Public Experienced Immersive Virtual Reality for Geo-education"
<p>The dataset is associated with the paper entitled: How Academics and the Public Experienced Immersive Virtual Reality for Geo-education.</p> <p>It contains feedback regarding users’ experience with Immersive Virtual Reality for geological exploration, through a tailored approach developed by Tibaldi et al. (2020) where the Virtual Landscape is based on 3D photogrammetry-based high-resolution models.</p> <p>Such feedback has been acquired through anonymous questionnaires during nine dissemination events held in 2018 and 2019 in various locations (Vienna in Austria, Milan and Catania in Italy and Santorini in Greece), in the framework of the following projects: i) the MIUR project ACPR15T4_00098–Argo3D (http://argo3d.unimib.it/); ii) 3DTeLC Erasmus+Project 2017-1-UK01-KA203-036719 (<a href="http://www.3dtelc.com">http://www.3dtelc.com</a>); iii) EGU 2018 Public Engagement Grant (https://www.egu.eu/outreach/peg/) .</p> <p>In the dataset, feedback has been grouped into categories, based on users age and background:</p> <p>i) Middle and High School Students (Schools students, results in Sheet 1);</p> <p>ii) MSc Students in Earth Sciences (MSc, results in Sheet 2);</p> <p>iii) Academics/Researchers in Earth Sciences, that include PhD students and postdocs (Academics, results in Sheet 3);</p> <p>iv) Lay Public (i.e. participants that do not belong to the other groups, results in Sheet 4).</p> <p>It lists a total of 459 records; further details are available in the manuscript.</p> <p>If you use this dataset, please do cite the following papers:</p> <p>Bonali et al., How Academics and the Public Experienced Immersive Virtual Reality for Geo-education. Geosciences.</p> <p>Tibaldi, A.; Bonali, F.L.; Vitello, F.; Delage, E.; Nomikou, P.; Antoniou, V.; Becciani, U.; Van Wyk de Vries, B.; Krokos, M.; Whitworth, M. Real world–based immersive Virtual Reality for research, teaching and communication in volcanology. Bull. Volcanol. 2020, 82, 1–12.</p> <p> </p> <p> </p> <p> </p>
Perceived academic stress, hair and saliva cortisol concentrations, and their relationship with anthropometric measures associated with obesity in first-year medical students.
<p>Cortisol plays an important role between stress, weight gain, and the development of obesity. Therefore, we investigated the association between stress, eating behavior, cortisol, and anthropometric measures related to obesity in a sample of medical students. We determined cortisol concentrations by ELISA and related it to self-reported stress, eating behavior, and anthropometric measurements throughout the academic period. We report an increase in hair cortisol, higher self-reported stress scores, and BMI mainly in females. Finally, we found evidence of positive associations between capillary cortisol and BMI. Also, eating behavior is affected by perceived stress mainly in females.</p> <p>In this database, we provide weight variables, BMI, psychometric tests, and hormonal determinations.</p> <p><br> You can see two sheets in the Excel file. Sheet 1 includes the raw data and sheet 2 includes a description of each variable, as well as the bibliography (article or book) where each survey or protocol was obtained.</p> <p><br> In addition, the data specify the units of the hormonal variables, as well as the units of the anthropometric variables. If you have questions about the interpretation of psychometric test scores, you can contact our team for further details.</p> <p> </p>
Bevacizumab plus erlotinib versus erlotinib alone as first line treatment of patients with EGFR-mutated advanced nonsquamous non-small cell lung cancer. BEVacizumab plus ERLotinib studY (BEVERLY): an academic, multicenter, randomised phase III trial.
<p>Background. Adding bevacizumab to erlotinib prolonged PFS of patients with EGFR-mutated advanced NSCLC in the Japanese NEJ026 trial, but limited data were available in non-Asian patients. BEVERLY is an Italian, multicenter, randomized phase III trial of bevacizumab plus erlotinib versus erlotinib alone as first-line treatment of advanced EGFR-mutated NSCLC.</p> <p>Methods. Eligible patients were randomized 1:1 to erlotinib (150mg daily) plus bevacizumab (15mg/kg iv q3w) or erlotinib alone, until disease progression or unacceptable toxicity. Center, ECOG PS and type of mutation (ex19 deletion vs ex21 L858R vs others) were stratification variables. Investigator-assessed PFS (IA-PFS) and blinded-independent centrally-reviewed PFS (BICR-PFS) were co-primary endpoints. With 80% power in detecting a 0·60 HR and 2–sided α error 0·05, 126 events out of 160 patients were needed. The trial was registered as NCT02633189 and EudraCT 2015-002235-17.</p> <p>Findings. From Apr 11, 2016 to Feb 27, 2019, 160 pts were randomized to erlotinib pus bevacizumab (80) or erlotinib alone (80). Baseline characteristics were balanced between arms; 34 (42·5%) patients in erlotinib plus bevacizumab arm and 43 (53·8%) in erlotinib arm were former or current smokers. At a median follow-up of 36·3 months, 140 PFS events (87·5%) were reported, 68 with erlotinib plus bevacizumab and 72 with erlotinib. Median IA-PFS was 15·4 months (95% CI 12·2–18·6) with erlotinib plus bevacizumab and 9·6 months (95% CI 8·2–10·6) with erlotinib (HR 0·66; 95%CI: 0·47–0·92). BICR-PFS analysis confirmed this result. A significant interaction with treatment effect was found for smoking habit (P=0·0323): former or current smokers receiving erlotinib plus bevacizumab had a longer PFS (16·9 months [95% CI 10·2–21·8] versus 8·8 months [95% CI 5·6–9·6]) than those receiving erlotinib alone.</p> <p>Hypertension (grade≥3: 24% vs 5%), skin rash (grade≥3: 31% vs 14%), thromboembolic events (any grade: 11% vs 4%), and proteinuria (any grade: 23% vs 6%) were more frequent with the combination treatment.</p> <p>Interpretation. The addition of bevacizumab to first-line erlotinib significantly prolonged PFS in Italian patients with EGFR-mutated NSCLC, without unexpected safety issues.</p>
EMAKG: an enriched version of the Microsoft Academic Knowledge Graph
<p>The <strong>Enhanced MAKG</strong> (<strong>EMAKG</strong>) provides an updated and enriched version of the Microsoft Academic Knowledge Graph (MAKG).</p> <p>The EMAKG is a large dataset of <strong>scientific publications</strong> and related entities such as <strong>authors</strong>, <strong>affiliations</strong>, <strong>venues</strong>, and <strong>fields of study</strong>. Data includes <strong>authors' careers and networks of collaborations</strong>, <strong>linguistics features</strong>, together with <strong>worldwide yearly authors' stocks and flows</strong>.</p> <p>The EMAKG data is mainly based on the MAKG - <strong>Version 2020-06-19 (March 25, 2021)</strong>.</p> <p>Methods: <a href="https://github.com/LauraPollacci/EMAKG">https://github.com/LauraPollacci/EMAKG</a></p> <p><em>Version 0.0 (reduced version)</em><br> Version 0.0 provides a set of EMAKG subsets, some of which are in abridged form:</p> <p>01.AffiliationsGeo: Affiliations subset.<br> 03.ConferenceInstances: Conferences subset.<br> 04.Conference Series: ConferenceSeries subset. <br> 05.Journals: Journals subset. <br> 06.24.PaperAuthorAffiliations_Disambiguated: Relationships between papers and disambiguated authors. <br> 09.PaperResources: URLs and resources of publications.<br> 10.Papers: Papers subset.<br> 12.EntityRelatedEntities: Connections between entities.<br> 13.FieldOfStudyChildren: Field of study kinship relations.<br> 14.FieldOfStudyExtendedAttributes: Fields of study co-references between different datasets.<br> 15.FieldsOfStudy: Fields of study subset.<br> 16.PaperFieldsOfStudy: Relationships between papers and fields of study.<br> 18.RelatedFieldOfStudy: Relationships between symptoms, medical treatments, disease causes and fields of study.<br> 19.PaperCitationContexts: Contexts of citations in CiTo.<br> 20.AbstractsProcessed_Chunk0-14: Chunk of processed abstracts.<br> 22.FieldOfStudyLabeled: Tags and scores of fields of studies.<br> 23.Authors_disambiguated: Disambiguated authors subset.<br> 24.PaperAuthorAffiliation_Disambiguated: Relationships between papers, disambiguated authors and affiliations.<br> 25.AuthorORCID: Authors' ORCIDs.<br> 26.AuthorCareer: Authors' yearly publications.<br> 27.AuthorYearLocation: Authors' yearly locations.<br> 28.AuthorEgoNetworks_2000-2014: Authors' ego networks from 2000 to 2014.<br> 29.CountryAnnualFlowsAggregated: Flows aggregated by country and year.<br> 30.FlowsAnnual: Annual country to country flows.<br> 31.StocksAnnual: Annual stocks aggregated by country.<br> 32.PaperFieldsOfStudyLabeled: Publications tagged with fields of studies.<br> 33.Authors_disambiguated_Hindex: H-index of disambiguated authors.</p>
Data SRL EdTech & Academic Achievement
<p>Systematic literature review data. The documentary sources are from articles published in scientific journals during the period 2013–2021, which include the following Education Resources Information Center (ERIC) Thesaurus terms as descriptors: "Technology uses in Education", "Mathematics Achievement", "Reading Achievement", "Writing Achievement" and "Science Achievement." </p>
Finite Element model data for Academic Rotor bladed-disc system
<div> <div> <div> <p>A computational finite element based technique is proposed for developing a stochastic reduced order model for rotating bladed disc with spatial random inhomogeneities. The spatial inhomogeneities imply the system to be randomly mistuned. The formulation assumes the availability of a high fidelity finite element (FE) model for the tuned system. The corresponding FE matrices are antisymmetric on account of the Coriolis forces due to rotation. The spatial inhomogeneities, available from limited point measurements on the blades, are modelled as non-Gaussian random fields with arbitrary distributions. A low order stochastic computational model is developed by projecting the FE model onto a reduced dimensional state space defined in terms of specified observable nodal points and expressing the stochasticity through an arbitrary polynomial chaos (aPC) basis. This model enables probabilistic quantification of the variabilities in the system response and estimating failure probabilities. The methodology enables drastic reduction in the state space and stochastic dimensions, addresses the practical difficulties with having limited measurable data points, antisymmetric FE matrices, aPC representation in complex irregular geometries and carrying out probabilistic analyses on industrial systems, at significantly reduced computational costs. The methodology is illustrated through an academic rotor and an industrial rotor blade.</p> </div> </div> </div>
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.