Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
174
datasets available to search
ShareScore release 0.9.0
Dataset results
174 results for “online data”
Ethical Impact Assessment of sharing nanosafety data: raw data of the online survey among participants in the XX Seminar on Nanotechnology, Society and Environment in Brazil and online, on 18 October 2023
<p>One excel sheet includes the responses to the online survey on Ethical Impact Assessment of sharing nanosafety data of participants in the XX Seminar on Nanotechnology, Society and Environment in Brazil and online, on 18 October 2023, in Portuguese, and the other the translated responses in English.</p>
Data analysis of article research tittle "Online GIS and Remote Sensing-Based Mapping of Flood Vulnerability in Samarinda Seberang Subdistrict"
<p>This dataset contains an explanation of data analysis for creating a flood vulnerability map of Samarinda Seberang District. The dataset contains sub-criteria for each flood parameter and its score value. In addition, this dataset contains the weight value of each parameter, flood vulnerability level and its coloring, and the results of calculating the area of each vulnerability level.</p>
STD-BERTopic Online music platform data
<p>“STD-BERTopic model has been applied to analyze online music platform data. The dataset consists of various user interactions, including how users engage with friends, follow others, and manage privacy settings. The data also reflects behaviors such as blocking users, re-following previously unfollowed users, and issues related to friend lists and visibility after unfollowing. The model extracts trends and topics from short texts, which reveal insights into user experiences, especially concerning friendship and follow functionalities.”</p>
CURSUS An Online Resource of Medieval Liturgical Texts -- project data files and website
<p>This is a legacy deposit of the data and website of the CURUS Project. An Online Resource of Medieval Liturgical Texts funded by the AHRB from 2000-2003. </p> <p>This file was uploaded to ZENODO on 2021-07-11 by Dr James Cummings to ensure that there are lots of copies of the CURSUS materials around for the future.<br> A copy is also available at https://github.com/jamescummings/cursus and will be deposited in FigShare as well.</p> <p>Original Creators: Dr James Cummings, Professor David Chadd, Dr Richard Lewis<br> License: Creative Commons, Attribution, Non-Commericial 4.0 International<br> </p> <p>It includes the TEI P4 XML based markup (with significant project additions documented in the DTD), transformations XSLT 1.0 Stylesheets and an HTML scrape of the website as of 2020-07-11. It includes additional material to the 12 manuscript editions such as a corpus of antiphons/responds/prayers of the Corpus Antiphonalium Officii, and a vulgate bible. The website stopped having new additions in 2009 at the time of Professor David Chadd's sad death. </p>
Data from: Tradeoffs in moving citizen-based anuran call surveys online during the SARS-CoV-2 pandemic: lessons from rural Appalachia, USA
<p>Citizen science approaches provide adaptable methodologies for enhancing the natural history knowledge of understudied taxa and engaging underserved populations with biodiversity. However, transitions to remote, virtual training and participant recruitment in response to public health crises like the SARS-CoV-2 pandemic have the potential to disrupt citizen science projects. We present a comparison of outputs from a citizen science initiative built around call surveys for the Mountain Chorus Frog (<i>Pseudacris brachyphona</i>), an understudied anuran, in Appalachian Virginia, USA prior to and during the SARS-CoV-2 pandemic. A transition to virtual training in this initiative did not lead to a decrease in scientific output and led to unexpected natural history insight about our focal taxon; however, a reliance on virtual instruction did decrease overall participation by local residents, particularly for rural K-12 students. We discuss the tradeoffs exhibited by the adaptation of our initiative to a virtual format and provide recommendations for other citizen science initiatives facing similar restrictions in the face of current and future public health crises.</p>
Quantum state resolved molecular dipolar collisions over four decades of energy - online data
<p>Data for submission of "Quantum state resolved molecular dipolar collisions over four decades of energy"</p> <p>Authors:</p> <p>Guoqiang Tang<sup>1</sup>, Matthieu Besemer<sup>1</sup>, Stach Kuijpers<sup>1</sup>, Gerrit C. Groenenboom<sup>1</sup>,<br> Ad van der Avoird<sup>1</sup>, Tijs Karman<sup>1</sup>**, Sebastiaan Y.T. van de Meerakker<sup>1</sup>**</p> <p><sup>1</sup>Radboud University, Institute for Molecules and Materials<br> Heijendaalseweg 135, 6525 AJ Nijmegen, the Netherlands</p> <p>**To whom correspondence should be addressed;<br> E-mail: basvdm@science.ru.nl, t.karman@science.ru.nl</p>
Data from: Comparing ant morphology measurements from microscope and online AntWeb.org 2D z-stacked images
<p><span>Unprecedented technological advances in digitization and the steadily expanding open-access digital repositories are yielding new opportunities to quickly and efficiently measure morphological traits without transportation and advanced/expensive microscope machinery. A prime example is the AntWeb.org database, which allows researchers from all over the world to study taxonomic, ecological, or evolutionary questions on the same ant specimens with ease. However, the reproducibility and reliability of morphometric data deduced from AntWeb compared to traditional microscope measurements has not yet been tested.</span></p> <p><span>Here, we compared 12 morphological traits of 46 <em>Temnothorax</em> ant specimens measured either directly by stereomicroscope on physical specimens or via the widely used open access software tpsDig utilizing AntWeb digital images. We employed a complex statistical framework to test several aspects of reproducibility and reliability between the methods. We estimated (i) the agreement between the measurement methods and (ii) the trait value dependence of the agreement, then (iii) compared the coefficients of variation produced by the different methods, and finally, (iv) tested for systematic bias between the methods in a mixed modelling-based statistical framework.</span></p> <p><span>The stereomicroscope measurements were extremely precise. Our comparisons showed that agreement between the two methods was exceptionally high, without trait value dependence. Further, the coefficients of variation did not differ between the methods. However, we found systematic bias in eight traits: apart from one trait where software measurements overestimated the microscopic measurements, the former underestimated the latter.</span></p> <p><span>Our results shed light on the fact that relying solely on the level of agreement between methods can be highly misleading. In our case, even though the software measurements predicted microscope measurements very well, replacing traditional microscope measurements with software measurements, and especially mixing data collected by the different methods, might result in erroneous conclusions. We provide guidance on the best way to utilize virtual specimens (2D z-stacked images) as a source of morphometric data, emphasizing the method's limitations in certain fields and applications.</span></p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Commit Data
<p>This dataset contains commit UNIX timestamps for Copymaster assignment git repositories of students studying Operating Systems class at Technical University of Košice in the span of years 2017/2018 - 2020/2021.</p>
Online survey data: Exploring the socio-economic dynamics and innovation capacities of rural food and farming microbusinesses
<p>Online survey data which, in compilation with focus group data, formed the basis for our NICRE-funded report into the socio-economic dynamics and innovation capacities of rural food and farming microbusinesses. Full report is available here: https://eprints.glos.ac.uk/11449/ </p>
Data from: Geographies of an online social network
Open the record for dataset details and reuse information.
Data from: From trial to implementation, bringing team-based learning online – Duke-NUS Medical School’s response to the COVID-19 pandemic
Open the record for dataset details and reuse information.
Data from: Comparing ant morphology measurements from microscope and online AntWeb.org 2D z-stacked images
Open the record for dataset details and reuse information.
WALL-E/Vocus AIM data: Online particle phase chemical composition
Open the record for dataset details and reuse information.
Data from: Tradeoffs in moving citizen-based anuran call surveys online during the SARS-CoV-2 pandemic: lessons from rural Appalachia, USA
Open the record for dataset details and reuse information.
Online Supplementary Data: Deep-time biodiversity patterns and the dinosaurian fossil record of the Late Cretaceous Western Interior, USA
Open the record for dataset details and reuse information.
Data from: Comparison of Nottingham Prognostic Index and Adjuvant Online prognostic tools in young women with breast cancer: review of a single-institution experience
Open the record for dataset details and reuse information.
Data from: Two new species of Limbodessus diving beetles from New Guinea - short verbal descriptions flanked by online content (digital photography, μCT scans, drawings and DNA sequence data)
Open the record for dataset details and reuse information.
Data from: Evolutionary online behaviour learning and adaptation in real robots
Open the record for dataset details and reuse information.
Coarse-scale online data reveals habitat similarities but weak cross-taxa congruence between insectivorous bats and birds in the eastern U.S.
Open the record for dataset details and reuse information.
Training Data of Quantitative Online NMR Spectroscopy for Artificial Neural Networks
<p>Data set of low-field NMR spectra of continuous synthesis of nitro-4’-methyldiphenylamine (MNDPA). <sup>1</sup>H spectra (43 MHz) were recorded as single scans.</p> <p> Two different approaches for the generation of artificial neural networks training data for the prediction of reactant concentrations were used: (<em>i</em>) Training data based on combinations of measured pure component spectra and (<em>ii</em>) Training data based on a spectral model.</p> <p><strong>Synthetic low-field NMR spectra</strong></p> <p>First 4 columns in MAT-files represent component areas of each reactant within the synthetic mixture spectrum.</p> <p><em>X<sub>i</sub></em> (“pure component spectra dataset”)</p> <p><em>X<sub>ii</sub></em> (“spectral model dataset”)</p> <p><strong>Experimental low-field NMR spectra from MNDPA-Synthesis</strong></p> <p>This data set represents low-field NMR-spectra recorded during continuous synthesis of nitro-4’-methyldiphenylamine (MNDPA). Reference values from high-field NMR results are included.</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.