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.
26
datasets available to search
ShareScore release 0.9.0
Dataset results
26 results for “story telling”
Science communication: How to tell the story of your scientific work
<p>Have you ever wondered why certain research projects get picked up in the news and not others? Or how some researchers manage to produce science content that goes viral on social media? Sure, part of it is luck, but another part of it is storytelling. By framing your research in a different way, you can increase the chances that your story gets picked up, or that your social media gains a following.</p> <p><a href="https://www.youtube.com/watch?v=aasLG7uOGAg">This webinar </a>will give you the tools to tell stories about your research intentionally, identifying newsworthy stories, who’s your audience, what medium best fits your story, and considering whether you want to pitch your story to journalists, or perhaps use your own media production skills, and posting it to social media. But what platform? We will cover all of this and more in part 1 of our Arctic PASSION seminar! This is part 1 of a series of seminars that Arctic PASSION will be hosting. Arctic PASSION is an EU Horizon 2020-funded project which aims to build a coherent Arctic Observing System that is adjusted to societal needs based on a co-design of knowledge.</p> <p>The Arctic PASSION Online Seminar and Dialogue Series is a tool to communicate project’s topics, share ideas, plans and results, and initiate an inclusive and proactive dialogue with people from different groups, backgrounds and career levels. It is targeted to Arctic and Indigenous Youth, Early Career Scientists and other interested audiences. The online seminar is led by Olivia Rempel, a documentary filmmaker and multimedia journalist working at GRID-Arendal, where she does everything from producing, shooting and editing documentaries, to guest teaching a mini science communication course at the Technical University of Denmark. She holds a master’s degree from the UC Berkeley Graduate School of Journalism, with prior undergraduate work in both journalism and environmental studies. Olivia has had a variety of media jobs, from logistics and communication work at Students on Ice, an educational polar expedition organization, to leading open-source investigations that combat disinformation at the UC Berkeley Human Rights Center and working on documentaries that have been screened at film festivals from Svalbard to Addis Ababa. Olivia has been working alongside passionate researchers for much of her career, and one of her greatest joys is helping them ensure their important work is communicated accurately and effectively.</p> <p>Useful Links:</p> <p>Watch this video on Youtube: <a href="https://www.youtube.com/watch?v=aasLG7uOGAg Olivia's public profile and contact details: https://www.grida.no/staff/108">https://www.youtube.com/watch?v=aasLG7uOGAg </a></p> <p>Olivia's public profile and contact details: <a href="https://www.grida.no/staff/108">https://www.grida.no/staff/108</a></p> <p>Olivia's slides: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbE13RnFpMDZiMlFMSjlOLV9oMVRfWjFrdm5Zd3xBQ3Jtc0ttWlJVZzVPMGE1djNsTGgwcmMweUNpeUkwQVhCT1FSdy1wVEFTRjdlRVhRVW41dkZmODZWbUNLc1VBeVhfNW9lYnRqTTdJOEdhc1hBUzQtV0dvcUpDQjNiYzRUV0NpSDZ3UzRrRl9mSl90c3Z3cW9hVQ&q=https%3A%2F%2Fnextcloud.awi.de%2Fs%2F2Gnj8pprcia9mD6&v=aasLG7uOGAg">https://nextcloud.awi.de/s/2Gnj8pprci...</a></p> <p>List of databases mentioned: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbnVNenZNcEFLV01ielJrdFVQa3hkZlpDMnYyQXxBQ3Jtc0tsNXZOT2h3VHJtNTZ0akVtdzVLNFl3Smd1dmdvN1RVSnB6VXRacHFuSGZFM3hJUGtMOHI3UXpEaXhPWnRoOGZnOFYxYXdoTXdwN2JaSTBLb0Z5bERfczh1VEFiWUFfVDFQaDdBRktPT1I1cDdpVnVLRQ&q=https%3A%2F%2Fresearchguides.journalism.cuny.edu%2Ffindingexperts%2Fdiverse-experts&v=aasLG7uOGAg">https://researchguides.journalism.cun...</a></p> <p>GRID-Arendal media resources, free for reuse: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0V3WVA2bUhHeVp5dUVLQUxRaW5pYU9UUm5jQXxBQ3Jtc0trYXBsUExha2d3QmMydzhDOEtaUjJnZU1DMElrdFE3QXV2Rmo5d0NSRXh6UWdhLTVjdC1XT0E3VkhIQUx0c193cjcwd0w4NEo4cnBFTzhfY19DYXlRR3FJTzd3VWtRZEl6dHFTOWJiVk9jekRYX1c5Yw&q=https%3A%2F%2Fwww.grida.no%2Fresources&v=aasLG7uOGAg">https://www.grida.no/resources</a></p> <p>Science communication citations: Bickford D, Posa MRC, Qie L, Campos-Arceiz A, Kudavidanage EP. Science communication for biodiversity conservation Biological conservation.. 2012 Jul;151(1):74-76. DOI: 10.1016/j.biocon.2011.12.016.</p> <p>Bullock OM, Shulman HC and Huskey R (2021) Narratives are Persuasive Because They are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Front. Commun. 6:719615. doi: 10.3389/fcomm.2021.719615</p> <p>Márquez MC and Porras AM (2020) Science Communication in Multiple Languages Is Critical to Its Effectiveness. Front. Commun. <a href="https://www.youtube.com/watch?v=aasLG7uOGAg&t=331s">5:31</a>. doi: 10.3389/fcomm.2020.00031</p> <p>Pavelle S and Wilkinson C (2020) Into the Digital Wild: Utilizing Twitter, Instagram, YouTube, and Facebook for Effective Science and Environmental Communication. Front. Commun. 5:575122. doi: 10.3389/fcomm.2020.575122</p>
Magic Deliverable 5.1 - Datasets - Report on EU sustainability goals: insights from Quantitative Story Telling and WEFE nexus
<p>This repository contains datasets used in the production of figures contained in MAGIC Deliverable 5.1</p> <p>Matthews K.B. (Hutton), Blackstock K.L. (Hutton), Waylen K.A. (Hutton), Juarez-Bourke A. (Hutton) Miller D.G. (Hutton), Wardell-Johnson D.H. (Hutton), Rivington M. (Hutton), Hague A. (Hutton), Fisher D. (Hutton), Renner A. (UAB), Cadillo-Benalzacar J. (UAB), Schyns J. (UT), Giampietro M. (UAB)</p> <p>MAGIC (H2020-GA 689669) Project Deliverable 5.1 - July 2020</p> <p><a href="https://magic-nexus.eu/documents/deliverable-51-report-eu-sustainability-goals">MAGIC Deliverable 5.1</a></p>
Twitter y Story-telling para alumnado de máster en Historia Antigua
<p>Vídeo presentado en el CLARIAH-DAY 2024 sobre Twitter y Story-telling y enfocado al alumnado de máster en Historia Antigua.</p>
Provenance Data for "Simulation Studies of Social Systems - Telling the Story Based on Provenance"
<p>This repository contains the provenance graph for the paper "Simulation Studies of Social Systems – Telling the Story Based on Provenance" by Oliver Reinhardt, Toby Prike, Martin Hinsch, Jakub Bijak, Adelinde M. Uhrmacher.</p> <p>The data may be imported into <a href="https://doi.org/10.5281/zenodo.6786191">WebProv</a> to display and edit the provenance graph.</p>
Light and malaise traps tell different stories about the spatial variations in arthropod biomass and method-specific insect abundance
<p><span>1. Conclusions reached in meta-analyses of changes in insect communities may be influenced by method-specific sampling biases, which may lead to inappropriate conservation measures.</span></p> <p><span>2. </span><span>We argue that the contradictory conclusions regarding terrestrial insect biomass, abundance and richness patterns are, at least partly, due to methodological limitations that reflect taxon-specific responses to environmental changes.</span></p> <p><span>3. </span><span>In this study, light and Malaise traps were simultaneously deployed to sample insects at 52 plots in a temperate forest in Germany along gradients of elevation (> 1000 m) and canopy openness (3 - 100 %). These gradients were used as predictors in models of total arthropod biomass according to the two trapping methods, and in models of abundance and richness of three commonly targeted groups: nocturnal moths, sampled using light traps, and hoverflies and bees, collected with Malaise traps.</span></p> <p><span>4. </span><span>A comparison of the total arthropod biomass obtained with the two methods revealed contrary results along the canopy openness gradient. Biomass in light traps showed a decreasing trend with increasing canopy openness while biomass in Malaise traps increased. The same opposing pattern was found for the abundance of selected taxa.</span></p> <p><span>5. </span><span>The different patterns describing spatial variation of arthropod communities obtained using light and Malaise traps can be explained by differences in the taxa predominantly collected. Regarding the ongoing debate on insect decline, our results demonstrate that comparing different taxa from different taxon-specific traps is inappropriate. Thus, we recommend that future meta-analyses take into account the sampling methods and taxon-specific responses to environmental changes.</span></p>
Presenting is telling a story (two parts video)
<p>Slide adalah media penyampaian ide. Banyak orang merasa harus menggunakan slide.Tapi kalau anda punya kisah yang menarik, maka slide bukanlah yang utama. Paparan ini disampaikan dalam acara lokakarya berseri yang diadakah oleh KAMIL, organisasi mahasiswa pascasarjana di ITB. Acara diadakan tanggal 15 September 2017 di Ruang Multimedia CC Timur. Slide paparan telah diunggah di Slideshare (https://www.slideshare.net/d_erwin_ir...). Semoga bermanfaat. @dasaptaerwin</p>
Data from: Median-Joining Networks and Bayesian phylogenies often do not tell the same story
<p>Inferring phylogenies among intraspecific individuals often yields unresolved relationships (i.e., polytomies). Consequently, methods that compute distance-based abstract networks, like Median-Joining Networks (MJNs), are thought to be more appropriate tools for reconstructing such relationships than traditional trees. Median-Joining Networks visualize all routes of relationships in the form of cycles, if needed, when traditional approaches cannot resolve them. However, the MJN method is a distance-based phenetic approach that does not involve character transformations and makes no reference to ancestor-descendant relationships. Although philosophical and theoretical arguments challenging the implication that MJNs reflect phylogenetic signal in the traditional sense have been presented elsewhere, an empirical comparison with a character-based approach is needed given the increasing popularity of MJN analysis in evolutionary biology. Here, we use the conservative Approximately Unbiased (AU) test to compare 85 cases of branching patterns of cycle-free MJNs and Bayesian Inference (BI) phylogenies using datasets from 55 empirical studies. By rooting the MJN analyses to provide directionality, we report substantial disagreement between computed MJNs and posterior distributions on BI phylogenies. The branching patterns in MJNs and BI phylogenies show significantly different relationships in 37.6% of cases. Among the relationships that do not significantly differ, 96.2% show alternative sets of relationships. Our results indicate that the two methods provide different measures of relatedness in a phylogenetic sense. Finally, our analyses also support previous observations of the statistical hypothesis testing by reconfirming the over-conservativeness of the Shimodaira-Hasegawa test versus the AU test.</p>
Data from: Median-Joining Networks and Bayesian phylogenies often do not tell the same story
Open the record for dataset details and reuse information.
Light and malaise traps tell different stories about the spatial variations in arthropod biomass and method-specific insect abundance
Open the record for dataset details and reuse information.
Dataset from: Are we telling the same story? Comparing inferences made from camera trap and telemetry data for wildlife monitoring
<p>Estimating habitat and spatial associations for wildlife is common across ecological studies, and it is well known that individual traits can drive population dynamics and vice versa. Thus, it is commonly assumed that individual- and population-level data should represent the same underlying processes, but few studies have directly compared contemporaneous data representing these different perspectives. We evaluated the circumstances under which data collected from Lagrangian (individual-level) and Eulerian (population-level) perspectives could yield comparable inferences in an effort to understand how scalable information is from the individual to the population. We used Global Positioning System (GPS) collar (Lagrangian) and camera trap (Eularian) data for seven species collected simultaneously in eastern Washington (2018 – 2020) to compare inferences made from different survey perspectives. We fit the respective data streams to resource selection functions (RSFs) and occupancy models and compared estimated habitat- and space-use patterns for each species. Although previous studies have considered whether individual- and population-level data generated comparable information, ours is the first to make this comparison for multiple species simultaneously and to specifically ask whether inferences from the two perspectives differ depending on the focal species. We found general agreement between the predicted spatial distributions for most paired analyses, though specific habitat relationships differed. We hypothesized the discrepancies arose due to differences in statistical power associated with camera and GPS-collar sampling, as well as spatial mismatches in the data. Our research suggests data collected from individual-based sampling methods can capture coarse population-wide patterns for a diversity of species, but results differ when interpreting specific wildlife-habitat relationships.</p>
Recovery in Telling Life Stories
ClinicalTrials.gov study NCT07082777. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Chromosomes tell half of the story: the correlation between karyotype rearrangements and genetic diversity in sedges, a group with holocentric chromosomes
Open the record for dataset details and reuse information.
Dataset from: Are we telling the same story? Comparing inferences made from camera trap and telemetry data for wildlife monitoring
Open the record for dataset details and reuse information.
Figure 3 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 3 The Angled Australian barkhopper, Paraselina brunneri (= P. multifora syn. nov.). A, B, D a female from Upper Orara (Nick Lambert) C a female from Lansdowne forest (Reiner Richter) E a male from Mt. Glorious (Griffin Chong) F individual from Mt. Mellum (Ian McMaster).
Figure 2 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 2 The Tiny helmed groundhopper, Anaselina minor, a male in the natural habitat in Wooroonooran (Matthew Connors). Note the uncovered part of the abdomen and bilobate apex of the flat pronotum.
Figure 6 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 6 Habitat of the Tribulation helmed groundhopper, Seliving tribulata. Rainforest in Kuranda, Queensland, rich in dry leaflitter (David Rentz).
Figure 5 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 5 The Tribulation helmed groundhopper, Selivinga tribulata, Living specimens in natural habitat. A Female from Kuranda (David Rentz) B male from Kuranda (David Rentz), male from Tully Range (Matthew Connors) D nymph from Redlynch (Matthew Connors) E, G a male from Kingfisher park (Nick Monaghan) F female from Speewah (Matthew Connors).
Figure 4 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 4 The Triple-bump Australian barkhopper, Paraselina trituberculata (Sjöstedt, 1932), a male in his habitat in Wilsons Creek (Kathy Rose).
Figure 1 from: Skejo J, Connors M, Hendriksen M, Lambert N, Chong G, McMaster I, Monaghan N, Rentz D, Richter R, Rose K, Franjević D (2020) Online social media tells a story of Anaselina, Paraselina, and Selivinga (Orthoptera, Tetrigidae), rare Australian pygmy grasshoppers. ZooKeys 948: 107-119. https://doi.org/10.3897/zookeys.948.52910
Figure 1 Updated distribution map of the Australian pygmy grasshoppers – Anaselina minor, Paraselina brunneri, P. trituberculata, and Selivinga tribulata. Each species is represented by its unique symbol, the silhouette of the species pronotum. The small map of Australia shows two regions inhabited by the barkhoppers.
Enhancing Life Quality in Community-Dwelling Older Omanis by Telling Their Life Story
ClinicalTrials.gov study NCT06881914. IPD Sharing: NO. Countries: 1. Publications: 0.
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.