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.
3,172
datasets available to search
ShareScore release 0.9.0
Dataset results
3,172 results for “public”
Supporting data of the publication: Conquering chemical spaces in the billion range: is docking a computational alternative to DNA-encoded libraries?
<p>Raw data of the publication: "Conquering chemical spaces in the billion range: is high-throughput docking a computational alternative to DNA-encoded libraries?" by Levente M. Mihalovits, Tibor V. Szalai, Dávid Bajusz and György Miklós Keserű. Figures of the manuscript and the supporting information were created using these data.</p>
Supplementary material for publication "The combined second-echelon vehicle routing problem - Integrating last-mile deliveries into public transport"
<p>Supplementary material for publication "The combined second-echelon vehicle routing problem - Integrating last-mile deliveries into public transport".</p> <p> </p> <p>Includes bus times (provided by the data set goettingen from the scientific software toolbox LinTim (https://lintim.net/)), customer nodes, and distances and results for the algorithms for different vehicle speeds, capacities, number of second-echelon vehicles and number of customers.</p>
Public GWAS results for metabolic, blood cell, and autoimmune traits
<p>These data can be used to replicate the analysis in Morrison et al (2024) "Genetic Factor Analysis for Characterizing Phenome-Wide Patterns of Genetic Pleiotropy". <a href="https://github.com/jean997/gfa_manuscript/">Please see our github repository for more details.</a> </p>
STFC Astronomy and Artificial Intelligence Summer School with Public Engagement
<h3><strong>Context</strong></h3> <p><strong>Summer School. </strong>As part of the Epistemic Insight Initiative of the LASAR (Learning about Science and Religion) research and outreach centre, an <a href="https://futureofknowledge.com/summer-school/" target="_blank" rel="noopener">STFC Astronomy and Artificial Intelligence summer school with public engagement</a> was organised by Prof Berry Billingsley and Dr James Pearson, held over five days from 8th-12th July 2024 at Canterbury Christ Church University, Canterbury, UK. The summer school was aimed at astronomy PhD students as well as final year undergraduate & master's students in physics and computer science, and placed emphasis on a <a href="https://futureofknowledge.com/astronomy-and-ai-multidisciplinary-and-outreach/">multidisciplinary approach</a> of bringing together knowledge and researchers from different fields utilising AI, to devise solutions and create new opportunities. The summer school provided seminars, workshops and one-to-one conversations where participants could learn about current uses of AI, collaborate to co-create new projects and get expert perspectives on their work. Participants also explored and gained insights in three key areas:</p> <ol> <li>What are the roles of AI in astronomy and in the sciences more broadly?</li> <li>What do curiosity and knowledge creation look like in a world of AI?</li> <li>Public engagement and working with AI and immersive technologies to engage new audiences in astronomy, which involved outreach training.</li> </ol> <p><strong>Public Engagement. </strong>There was also the opportunity for attendees to participate in outreach training and contribute to a public engagement event for schools, involving working with immersive tech to communicate ideas in astronomy, and assessing generative AI as a tool for creating activities and puzzles relating to their work. The outputs of this can be found here: <a href="https://futureofknowledge.com/q-and-a-with-astronomers/">https://futureofknowledge.com/q-and-a-with-astronomers/</a></p> <p><strong>Specialist Event and Case Studies. </strong>As part of this summer school, an additional free <a href="https://futureofknowledge.com/astronomy-and-ai-online-event/" target="_blank" rel="noopener">Astronomy and AI Online Event</a> day was held the week before on Wednesday 3rd July 2024 to provide specialist talks and panel discussions about AI in astronomy, the recordings of which can be found here: <a href="../doi/10.5281/zenodo.12674685">https://zenodo.org/doi/10.5281/zenodo.12674685</a>. Alongside this event, a number of recorded case studies were released showcasing how researchers in astronomy are using AI and deep learning in their own work, which can be found here: <a href="../doi/10.5281/zenodo.12594632">https://zenodo.org/doi/10.5281/zenodo.12594632</a></p> <p><strong>Principal Investigator:</strong> Prof Berry Billingsley (Epistemic Insight Initiative)<br><strong>Project Manager:</strong> Dr James Pearson (The Open University)<strong><br>Video Editor:</strong> Mina Cullimore (Canterbury Christ Church University)</p> <h3><strong>Summer School Talks</strong></h3> <p>Here, we provide the recordings and presentation slides of the various talks. Below is an outline of the summer school's online/hybrid sessions - see the main website for the full timetable and more details about each talk.</p> <p><strong>Monday 08 July - Big Questions stimulus and introductions</strong><br>17.00-18.00 Plenary Session - <em>Workshop lead: Mina Cullimore and Berry Billingsley</em><br><strong>Tuesday 09 July - A multidisciplinary arena</strong><br>09.30-10.45 A review of yesterday and setting the agenda for today - <em>Berry Billingsley and Mina Cullimore</em><br>11.00-12.15 Thinking about astronomy and art – and working with virtual spaces - <em>Mina Cullimore</em><br>13.15-14.30 Cultural views of astronomy and archaeoastronomy - <em>Elfneh Bariso and Kevin Walsh</em><br>14.45-16.00 Working with GenAI and your tutor - <em>William Beckwith-Chandler and Kevin Walsh</em><br>16.15-17.30 Power & Problems of the Search and Generative AI Scenarios - <em>Ted Selker</em><br><strong>Wednesday 10 July - Welcome to LASAR at CCCU</strong><br>13.15-14.30 Explainable AI (XAI): AI for tomorrow's scientific computing - <em>Konstantinos Sirlantzis</em><br>14.45-16.00 The future of AI: the loss of uncertainty - <em>Philippe de Wilde</em><br>16.15-17.30 Big data in astronomy: contemplating a potential future - <em>Matthew Graham</em></p>
Inventory of scientific publications on Distributed Hydrogen Systems from 2000-2023
<p>This Excel sheet contains a comprehensive list of scientific publications on distributed hydrogen systems from the years 2000 to 2023. Each entry includes the following details:</p> <ul> <li><strong>Title</strong>: The title of the publication.</li> <li><strong>Authors</strong>: The names of the authors who contributed to the publication.</li> <li><strong>Year</strong>: The year the publication was released.</li> <li><strong>DOI</strong>: The Digital Object Identifier, providing a unique and permanent link to the publication.</li> <li><strong>Journal Name</strong>: The name of the journal where the publication appeared.</li> <li><strong>Impact Factor</strong>: The impact factor of the journal, indicating its influence and relevance in the scientific community.</li> </ul>
Supporting molecular genetic data for a publication on Juvenile Paget Disease
Open the record for dataset details and reuse information.
SEAHI PUBLICATIONS AND ACADEMIC JOURNALS
Open the record for dataset details and reuse information.
Data for publication
Open the record for dataset details and reuse information.
Dataset for the publication Demonstration of dual Shapiro steps in small Josephson junctions
<p>This dataset set provides all the measurement data in txt file nedded to generate the figures in the article. Furthermore the three databases with all taken data of the sample is provided</p>
Dataset underying the publication titled: Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region
<p>LPJ-GUESS model outputs underlying the figures published in the article "Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region".</p> <p> </p>
Author information for the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"
<p>This Excel format file includes three sheets:</p> <p>1: CREDIT information for the named authors of the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p> <p>2: Funding information for the named authors of the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p> <p>3: A listing of the individuals included in the collective authorship "The EBP Community of Scientists" in the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p>
FIGURE 1 in Valid publication of the name Eriobotrya × daduheensis (Malinae, Rosaceae)
FIGURE 1. Eriobotrya × daduheensis H. Z. Zhang ex W. B. Liao, Q. Fan et M. Y. Ding. A. Flowering branch. B. Flower with calyx and bracts. C. Calyx lobes, abaxial view. D. Bracts, adaxial view. E. Flower, in longitudinal section. F. Petal. G. Stamens. H. Style. I. Fruit branch. A–H from Q. Fan 9292 (holotype, SYS); I from Q. Fan 9607 (paratype, SYS). Drawn by Yunxiao Liu.
FIGURE 1 in Typification of the name Sedum monregalense (Crassulaceae) with notes on the correct publication date
FIGURE 1. (Icono)lectotype of Sedum monregalense Balbis (Photo L. Guglielmone). The dotted lines show the "Flores ante florescentiam nutantes" as quoted in the protologue; the 6-parted flowers (white arrows) and the 5-parted flowers (black arrows) reported in the "Obs." of the prologue are also underlined.
FIGURE 2 in Typification of the name Sedum monregalense (Crassulaceae) with notes on the correct publication date
FIGURE 2. Epitype of Sedum monregalense Balbis, collected near Rastello (Val Ellero, Piedmont, Italy) by E. Ferrari in the July 1897 (Photo L. Guglielmone).
Data for the publication "Wind farm layout optimization with alignment constraints", submitted to Wind Energy Science, 2024
<p>The data in pickle format contains the optimal layouts corresponding to the numerical applications of the paper "Wind farm layout optimization with alignment constraints" submitted in Wind Energy Science, 2024.</p>
FIGURE 1 in The identity of Ligularia emeiensis (Asteraceae, Senecioneae), a name overlooked since its publication
FIGURE 1. Type specimens of Ligularia emeiensis (= L. dentata subsp. sutchuenensis). A. China, Sichuan, Emei Shan, J. Murata 11571 (holotype, KYO). B. Same locality, W.P. Fang 15048 (paratype, KYO). C. Same locality, W.P. Fang 15048 (isoparatype, KUN). D. Same locality, C.L. Chow 6943 (paratype, KYO).
Data table 3 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)
Open the record for dataset details and reuse information.
Online Appendix for the HICSS2025 Paper: Bridging Citizens and Public Sector Employees through an Open Employee-driven Innovation Process - A Design Science Research Study
<p>Online Appendix for the HICSS2025 Paper: Bridging Citizens and Public Sector Employees through an Open Employee-driven Innovation Process - A Design Science Research Study</p>
Financial forensics for Greek Public Hospitals
<p>Balance sheet analysis- financial statements data of Greek Public Hospitals (2015-2021), examined using the Benford Law and Beneish model tools.</p>
dataset of the meet-URO 15 trial, three related publications
<p>dataset of the meet-URO 15 trial, three related publications:</p> <ul> <li><a href="https://pubmed.ncbi.nlm.nih.gov/39105621/">A red blood cell-based score in the prognostication of patients with metastatic RCC of the Meet-URO 15 study.</a></li> <li><a href="https://pubmed.ncbi.nlm.nih.gov/39034992/">Sodium levels and immunotherapy efficacy in mRCC patients with bone metastases: sub analysis of Meet-Uro 15 study.</a></li> <li><a href="https://pubmed.ncbi.nlm.nih.gov/38954006/">Long-term responders to nivolumab in previously treated advanced renal cell carcinoma: a sub-analysis of meet-URO15 study.</a> <div> </div> </li> </ul>
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.