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15,519 results for “r”
Telerobotic intergroup contact: Acceptance and preferences in Israel and Palestine - R Data and code.
<p>We present telerobotics as a novel form of intergroup contact to reduce prejudice and bring about positive social change between groups in conflict. Based on our previous conceptual framework and set of design hypotheses, we conducted a survey that confronts the theory with empirical data on acceptance and preferences of the telerobotic intergroup contact approach in Israel and Palestine. The results shed light on differences in attitudes between the groups and on design considerations for telerobotics when used for intergroup contact. The study serves as a foundation for implementing this novel method of technology-enhanced conflict resolution in the field.</p> <p>The data was analyzed in R software. The archive contains the survey data and the code analyses.</p> <p> </p> <p><em>The research is supported by The Kone Foundation</em></p>
USArrests v2 (with many more variables) for R
<p>This database is an updated and richer version of the well-known USArrest for R.<br>The added variables are (for each US state):</p> <ul> <li>Population</li> <li>Number of agents</li> <li>Number of agents/100k residents</li> <li>Urban/rural population (percentage value if people live in metropolitan areas)</li> <li>Percentage of Whites</li> <li>Percentage of Blacks</li> <li>Percentage of Asitatics</li> <li>Gross domestic product</li> <li>Gross domestic product per resident population</li> <li>Percentage of persons with a diploma</li> <li>Percentage of persons with PhD</li> <li>Percentage of female population</li> <li>Percentage of male population</li> <li>State policy trend</li> <li>Time series of rapes (1-12 months) [t1r .. t12r].</li> <li>Time series of Murders (1-12 months) [t1m .. t12m]</li> <li>Time series of Assaults (1-12 months) [t1a ... t12a]</li> </ul> <p>The time series were created randomly, while all other data were taken from censuses or requested from GPT-4.</p>
Daten der FDM-Bedarfserhebung an acht Hochschulen in Brandenburg (IN-FDM-BB Report R 1.2.1)
<p><strong>Data and reproducible code for the rdm survey at eight universities (of applied sciences) in Brandenburg</strong></p> <p>The accompanying README file contains information about the folders and files, and instructions to reproduce the code and figures. The file <span>DMP_FDM_Bedarfserhebung_IN-FDM-BB_2024.pdf contains the data management plan.</span></p> <p><strong>Daten und reproduzierbarer Code zur FDM-Bedarfserhebung an acht brandenburgischen Hochschulen </strong></p> <p>Die README-Datei enthält die relevanten Informationen zu allen Ordnern und Dateien in Datenpublikation_FDM_Bedarfserhebung_IN-FDM-BB_2024.zip. Die Datei <span>DMP_FDM_Bedarfserhebung_IN-FDM-BB_2024.pdf beinhaltet den zugehörigen Datenmanagementplan.</span></p> <p><strong>GENERAL INFORMATION</strong></p> <p><em>Title of Dataset: </em> </p> <p>Dataset from a survey on the handling of research data at eight universities (of applied sciences) in Brandenburg</p> <p>***</p> <p>Datensatz der Bedarfserhebung zum Umgang mit Forschungsdaten an acht Hochschulen in Brandenburg</p> <p> </p> <p><em>Date of data collection:</em><strong> </strong></p> <p>April to May 2023</p> <p>***</p> <p>April bis Mai 2023</p> <p> </p> <p><em>Collection instrument: </em></p> <p>The online tool TH Survey based on Quamp (Sociolutions): software to collect, manage and analyse empirical data</p> <p>***</p> <p>Das Online-Tool TH Survey basierend auf der Software Quamp (Sociolutions) für die Erhebung, die Verwaltung und die Auswertung empirischer Daten</p> <p><em> </em></p> <p><em>Funding:</em> </p> <p>The Federal Ministry of Education and Research (BMBF) funds the universities of applied sciences in the project IN-FDM-BB; the Ministry of Science, Research and Culture (MWFK) funds the universities that are part of the project IN-FDM-BB.</p> <p>***</p> <p>Das Bundesministerium für Bildung und Forschung (BMBF) fördert die am Projekt IN-FDM-BB beteiligten Hochschulen für Angewandte Wissenschaften); das brandenburgische Ministerium für Wissenschaft, Forschung und Kultur (MWFK) fördert die am Projekt IN-FDM-BB beteiligten Universitäten. Weitere Informationen zum Projekt unter https://fdm-bb.de/ueber-das-projekt-2/.</p> <p><br><strong>SHARING/ACCESS INFORMATION</strong></p> <p><em>Licenses/restrictions placed on the data: </em>These data are available under a <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 license</a> </p> <p><em>Links to publications that cite or use the data: </em></p> <p>Daniela Mertzen. „IN-FDM-BB Report: R 1.2.1 Aktuelle Kenntnisse und Bedarfe im Bereich Forschungsdatenmanagement an acht brandenburgischen Hochschulen“. FDM-BB, 16. Mai 2024. <a href="https://doi.org/10.5281/zenodo.11044845">https://doi.org/10.5281/zenodo.11044845</a>.</p> <p>Claudia Haase, Daniela Mertzen, Myriam Musolff, Michael Panitz, Carina Schiller, Stefanie Schreiber, Claus Spiecker, und Ian Wolff. „IN-FDM-BB Werkstattbericht: W 1.2.2 Auswertung Bedarfserhebung mit daraus folgenden Aktivitäten“. FDM-BB, 20. Dezember 2023. <a href="https://doi.org/10.5281/zenodo.10408198">https://doi.org/10.5281/zenodo.10408198</a>.</p> <p>Michael Panitz. „IN-FDM-BB Werkstattbericht: W 1.2.1 Konzept der Bedarfserhebung“. Werkstattbericht. Zenodo, 30. März 2023. <a href="https://doi.org/10.5281/zenodo.7870896">https://doi.org/10.5281/zenodo.7870896</a>.</p> <p>***</p> <p>Lizenz: Diese Daten sind unter einer <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 license</a> Lizenz verfügbar.</p> <p>Links zu den Publikationen, die diese Daten verwenden:</p> <p>Daniela Mertzen. „IN-FDM-BB Report: R 1.2.1 Aktuelle Kenntnisse und Bedarfe im Bereich Forschungsdatenmanagement an acht brandenburgischen Hochschulen“. FDM-BB, 16. Mai 2024. <a href="https://doi.org/10.5281/zenodo.11044845">https://doi.org/10.5281/zenodo.11044845</a>.</p> <p>Claudia Haase, Daniela Mertzen, Myriam Musolff, Michael Panitz, Carina Schiller, Stefanie Schreiber, Claus Spiecker, und Ian Wolff. „IN-FDM-BB Werkstattbericht: W 1.2.2 Auswertung Bedarfserhebung mit daraus folgenden Aktivitäten“. FDM-BB, 20. Dezember 2023. <a href="https://doi.org/10.5281/zenodo.10408198">https://doi.org/10.5281/zenodo.10408198</a>.</p> <p>Michael Panitz. „IN-FDM-BB Werkstattbericht: W 1.2.1 Konzept der Bedarfserhebung“. Werkstattbericht. Zenodo, 30. März 2023. <a href="https://doi.org/10.5281/zenodo.7870896">https://doi.org/10.5281/zenodo.7870896</a>.</p> <p><br><strong>DATA & FILE OVERVIEW</strong></p> <p>For an overview, please see the README file (English version: README-EN.md, German version: README-DE.md).</p> <p>***</p> <p>Eine Übersicht ist in der README-Datei zu finden (deutsche Fassung: README-DE.md, Englische Fassung: README-EN.md).</p> <p><br><strong>METHODOLOGICAL INFORMATION</strong></p> <p><em>Description of methods used for collection/generation of data: </em></p> <p>To collect these data, a quantitative data collection method was employed: An online survey on research data management among researchers and research support staff at eight publicly-funded research-focused universities (of applied sciences) was carried out in April and May of 2023. The survey was implemented in the online tool „TH Survey“ at the Technical University of Applied Sciences Wildau wich is based on Quamp (Sociolutions), a software to collect, manage and analyse empirical data. The survey consisted of a total of 32 questions on the handling of research data and their requirements for support in this domain.</p> <p>The raw data (in XLSX format) were processed in R (programming language) and the datasets for analysis were converted to a non-proprietary CSV format.</p> <p>A total of 550 participants took part in the survey. The dataset was split into one dataset for participants who are active researchers (N = 486) and one dataset for participants who are not active researchers (N = 64). The latter group only saw 12 instead of all 32 questions. The datasets for each university (applied sciences) are subsets of the dataset of active researchers (N = 486). </p> <p>***</p> <p>Zur Erhebung der hier präsentierten Daten wurde eine quantitative Datenerhebungsmethode gewählt. Eine Online-Bedarfsumfrage zum Thema Forschungsdatenmanagement unter den Forschenden der acht staatlichen forschenden Hochschulen wurde im April und Mai 2023 durchgeführt. Die Umfrage wurde in dem Online-Tool „TH Survey“ an der Technischen Hochschule Wildau implementiert; dieses Tool basiert auf Quamp (Sociolutions), einer Software zur Erhebung, zur Verwaltung und zur Auswertung empirischer Daten. Die Umfrage umfasst 32 Fragen zum Umgang mit Forschungsdaten sowie zu Unterstützungsbedarfe der Forschenden in diesem Bereich.</p> <p>Die Rohdaten (im XLSX-Format) wurden mithilfe der Programmiersprache R verarbeitet und die Datensätze zur Auswertung wurden in ein nicht-proprietäres CSV-Format übertragen.</p> <p>Insgesamt 550 Teilnehmende füllten den Online-Fragebogen aus. Dieser Datensatz wurde geteilt; ein Datensatz beinhaltet nur aktiv forschende Teilnehmende (N = 486), ein weiterer Datensatz enthält die Antworten der nicht aktiv forschenden Teilnehmenden (N = 64). Letztere Gruppe sah nur 12 der insgesamt 32 Fragen. Die Datensätze für jede Hochschule sind Subsets des Datensatzes der aktiv Forschenden (N = 486).</p> <p> </p> <p><em>Methods for processing the data: </em></p> <p>Results were prepared for analysis with the programming language R. The datasets can be found in the „data“ folder.</p> <p>Along with the data, the fully reproducible analysis code (RMD (R-Markdown) files) that generates the figures in the accompanying papers can be found below.</p> <p>***</p> <p>Die Rohdaten wurden mit der Programmiersprache R zur Auswertung vorbereitet. Die Datensätze (im CSV-Format) finden sich im Unterorder „data“. Neben den Daten wird der reproduzierbare Code (RMD (R Markdown Dateien) zur Auswertung hier publiziert, welcher die im zugehörigen Papier abgebildeten Visualisierung generiert.</p> <p><em> </em></p> <p><em>Instrument- or software-specific information needed to interpret the data: </em></p> <p>The codebook required to interpret the values in the published datasets.</p> <p>***</p> <p>Das Codebuch wird benötigt, um die Werte in den publizierten Datensätzen zu interpretieren.</p>
Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education
<p>Supplementary materials of the paper "Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education"</p>
MHC_DATA and R_CODE
<p><strong>Associations among MHC genes, latitude, and haemosporidian infections in the rufous-collared sparrow (</strong><i><strong>Zonotrichia capensis</strong></i><strong>)</strong></p>
Data set for ODI cricket matches from 1987 to 2023 (extracted from ESPN Cricinfo) and code (R) used for a statistical study
<p>Here I present the data and code that has been used to study the statistical evolution of ODI cricket. The preprint for this research is available at: </p> <div> <div> <div> <table> <tbody> <tr> <td><a href="https://doi.org/10.48550/arXiv.2406.11652">https://doi.org/10.48550/arXiv.2406.11652</a> <div><span>Focus to learn more</span></div> </td> </tr> </tbody> </table> </div> </div> </div> <div> </div>
Dataset, R code and metadata for Lim et al., Pattern matters in the aposematic colouration of Papilio polytes butterflies
<p>Dataset, R code and metadata for Lim et al., Pattern matters in the aposematic colouration of Papilio polytes butterflies.</p>
Figure 4 in Red-bellied Piranha Pygocentrus nattereri Kner, 1858 (Characiformes: Serrasalmidae) in open waters in R. Macedonia
Figure 4. Some of the osteological characters of P. nattereri from Dojran Lake.
Figure 1 in Red-bellied Piranha Pygocentrus nattereri Kner, 1858 (Characiformes: Serrasalmidae) in open waters in R. Macedonia
Figure 1. Location map showing the first record of P. nattereri in R. Macedonia.
Figure 6 in Red-bellied Piranha Pygocentrus nattereri Kner, 1858 (Characiformes: Serrasalmidae) in open waters in R. Macedonia
Figure 6. Light micrograph of the ovaries of a female P. nattereri. H&E. Bar line = 0.1mm.
Fig. 2 in Naturalization Of Melanoides Tuberculata And Tarebia Granifera (Thiaridae, Gastropoda) M O L L U S K S U N D E R T H E H Y D R O E C O L O G I C A L Conditions Of Zaporizhzhya Npp Cooling Pond
Fig. 2. Mollusks in the hydrobiological frame 25x25 cm.
Fig. 1 in M Or P Ho L O Gi Ca L Va R Iati On An D P Op U Lat Io N Structure Of The Natterjack Toad, Epidalea Calamita, In Northern Part Of The Range In Belarus
Fig. 1. Natterjack toad Epidalea calamita in Belarus.
Fig. 1 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 1. Old Emys orbicularis female, found in 1984 in Daugavpils (Photo: 1990).
Fig. 7 in P H E N O T Y P I C P L A S T I C I T Y A N D N U C L E A R D N A Polymorphism Of Two Differing Pinus Sylvestris L. Open-Pollinated Families Originating From The Same Population
Fig. 7. Heterozygosity at 5 loci among the investigated Scots pine families.
Fig. 3 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 3. Location of zones of influences of Project LIFE-HerpetoLatvia.
Fig. 9. 42 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 9. 42 Semi-adult and young adult turtles were released in wild in Silene Nature Park in 2014.
Fig. 8 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 8. Semi-adult turtles were released in wild in Silene Nature Park.
Fig. 7. Restored habitat 3 in P R O J E C T S O N E M Y S O R B I C U L A R I S (R E P T I L I A: Testudines: Emydidae) In Latvia For Thirty Years (1984 - 2014): Biological Aspects, Results And Effect On Population And Ecosystems
Fig. 7. Restored habitat 3: ponds system and eggs-laying places.
Fig. 1 in Microhabitat Preference And Relationships B E T W E E N M E Ta Z O A N Pa R A S I T E S O N T H E G I L L A P Pa R At U S O F T H E E U R O P E A N E E L (A N G U I L L A Anguilla) From Freshwaters Of Latvia
Fig. 1. The gill apparatus and sectors of gill arch.
Fig. 2 in Altitudinal Variation In Population Density, Body Size And Morphometric Structure In C A R A B U S O D O R At U S S H I L, 1996 (C O L E O P T E R A: Carabidae)
Fig. 2. Sampling localities of C. odoratus.
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.