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.
444
datasets available to search
ShareScore release 0.9.0
Dataset results
444 results for “Citizen Science”
Crystal Cove Marine Conservation Area Citizen Science Monitoring
Open the record for dataset details and reuse information.
Año Nuevo Island Animal Count: analyzing citizen science pinniped counts from drone imagery
Open the record for dataset details and reuse information.
Data from Translational Science Education Through Citizen Science
These data are associated with the publication: Translational Science Education Through Citizen Science.
Figure 8 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 8 Paraboeremia truiniorum (CBS 144952). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OAH pycnidium I section of pycnidium J section of pycnidial wall K–N conidiogenous cells O conidia. Scale bars: 20 μm (H); 50 μm (I); 5 μm (J–O).
Figure 7 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 7 Paraboeremia rekkeri (CBS 144955). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OAH pycnidium I section of pycnidium J section of pycnidial wall K–N conidiogenous cells O conidia. Scale bars: 100 μm (H); 20 μm (I); 10 μm (J); 5 μm (K–O).
Figure 6 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 6 Nothophoma brennandiae (CBS 145912). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OA. H, I pycnidia J section of pycnidial wall K–M conidiogenous cells N conidia. Scale bars: 50 μm (H, I); 10 μm (J); 5 μm (K–N).
Figure 5 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 5 Juxtiphoma kolkmaniorum (CBS 146005). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G, H pycnidium forming on OAI chlamydospores J–L conidiogenous cells M conidia. Scale bars: 100 μm (G, H); 10 μm (I–M).
Figure 3 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 3 Didymella degraaffiae (CBS 144956). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G, H pycnidia on OAI section of pycnidium J section of pycnidial wall K, L conidiogenous cells M chlamydospores N conidia. Scale bars: 50 μm (H, I); 10 μm (J); 5 μm (K–N).
Figure 4 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 4 Didymella kooimaniorum (CBS 144951). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OAH pycnidia I section of pycnidium J section of pycnidial wall K–M conidiogenous cells N conidia. Scale bars: 100 μm (H); 50 μm (I); 10 μm (J); 5 μm (K–N).
Figure 9 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 9 Stagonosporopsis stuijvenbergii (CBS 144953). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OAH pycnidia I ostiole J–L conidiogenous cells M stromatic hyphal aggregations N conidia. Scale bars: 50 μm (H); 10 μm (I, M); 5 μm (J–L, N).
Figure 13 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 13 Xenodidymella weymaniae (CBS 144960). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G, H pycnidia forming on OAI, J section of pycnidial wall K–N conidiogenous cells O conidia. Scale bars: 50 μm (H); 20 μm (I); 10 μm (J); 5 μm (K–O).
Figure 10 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 10 Stagonosporopsis weymaniae (CBS 144959). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G–I pycnidia forming on OAJ, L conidiogenous cells K subglobose conidia M stromatic hyphal aggregations N chlamydospores O oblong conidia. Scale bars: 100 μm (I); 10 μm (J–N); 5 μm (O).
Figure 12 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 12 Vandijckomycella snoekiae (CBS 144954). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G, H pycnidia forming on OAI, J section of pycnidial wall K–N conidiogenous cells O conidia. Scale bars: 100 μm (H); 50 μm (I); 10 μm (J); 5 μm (K–O).
Figure 11 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 11 Vandijckomycella joseae (CBS 143011). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G, H pycnidia forming on OAI, J section of pycnidial wall K–N conidiogenous cells O conidia. Scale bars: 100 μm (H); 20 μm (I); 10 μm (J); 5 μm (K–O).
Figure 1 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 1 Phylogenetic tree generated from the maximum-likelihood analysis based on the combined ITS, LSU, tub2 and rpb2 sequence alignment of Didymellaceae members. The RAxML bootstrap support values (BS), Bayesian posterior probabilities (PP), and parsimony bootstrap support values (PBS) are given at the nodes (BS/PP/PBS). BS and PBS values represent parsimony bootstrap support values >50 %. Full supported branches are indicated in bold. The scale bar represents the expected number of changes per site. Ex-type strains are represented in bold. Strains obtained in the current study are printed in green; among them, whilst strains that represent new taxa are printed in red. Some of the basal branches were shortened to facilitate layout (the fraction in round parentheses refers to the presented length compared to the actual length of the branch). The tree was rooted to Coniothyrium palmarum CBS 400.71 and Leptosphaeria doliolum CBS 505.75.
Figure 2 from: Hou L, Hernández-Restrepo M, Groenewald JZ, Cai L, Crous PW (2020) Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes). MycoKeys 65: 49-99. https://doi.org/10.3897/mycokeys.65.47704
Figure 2 Ascochyta benningiorum (CBS 144957). A, B Colony on OA (front and reverse) C, D colony on MEA (front and reverse) E, F colony on PDA (front and reverse) G pycnidia forming on OAH pycnidium I section of pycnidium J section of pycnidial wall K–M conidiogenous cells N conidia. Scale bars: 100 μm (H, I); 10 μm (J); 5 μm (K–N).
Webinar on the Characteristics of Citizen Science
<p><strong>What is Citizen Science? What is not? Learn more about the characteristics of citizen science and why it is important to define them.</strong></p> <p>On May 27th, 2020, <a href="https://ecsa.citizen-science.net/">ECSA</a> and <a href="https://eu-citizen.science/">EU-Citizen.Science</a> co-hosted a webinar about the recently published ‘<a href="https://ecsa.citizen-science.net/sites/default/files/ecsa_characteristics_of_citizen_science_-_v1_final.pdf"><strong>Characteristics of citizen science</strong></a><strong>’</strong>. This document, and the accompany notes, is the output of a community-based effort to outline what can be characterised as citizen science.</p> <p>Led by members of the working group that wrote this document, the webinar is an opportunity to learn more about its content, why defining characteristics of citizen science was necessary, and how it will benefit the field. </p> <p><a href="https://www.youtube.com/watch?v=Apuw-BbYMTA&list=PLB6IBD9OG9pD_pm7lKnyA_rNewuweFBk7&index=5&t=2s&ab_channel=ECSA-EuropeanCitizenScienceAssociation"><strong>WATCH THE WEBINAR RECORDING ONLINE</strong></a></p> <p>We used the hashtag #CitSciWebinar to tweet about the webinar, and you can continue to use this after the event to share it and ask us questions.</p> <p><strong><a href="https://eu-citizen.science/blog/2020/06/11/characteristics-QandA/">READ MORE Q & A FROM THE WEBINAR</a></strong></p> <p> </p> <p><strong>Speakers</strong></p> <p><a href="https://www.linkedin.com/authwall?trk=ripf&trkInfo=AQEvx3Y5UusbeQAAAXIxmpXQgqkMD-5awDPe_6gevrhWloVmDB2YrvQwsmPQCqNIgiLm4EHxziI2rtF5g1U34Ge_qmSTgFMI7HHqbQZPT43bGGi4l8SbG4BKgDNMpawIeNmX934=&originalReferer=https://www.google.com/&sessionRedirect=https%3A%2F%2Fbe.linkedin.com%2Fin%2Fcolombe-warin-1913711">Colombe Warin</a>, project advisor at the European Commission</p> <p><a href="https://www.geog.ucl.ac.uk/people/academic-staff/muki-haklay">Muki Haklay</a>, co-director at ExCiteS at University College London and vice-chair of ECSA</p> <p><a href="https://www.ufz.de/index.php?en=40346">Susanne Hecker</a>, research associate at the Helmholtz Centre for Environmental Research, and a member of ECSA’s board of directors</p> <p><a href="https://www.museumfuernaturkunde.berlin/en/taxonomy/term/234/maike.weisspflug">Maike Weißpflug</a>, researcher at the Museum für Naturkunde Berlin</p> <p> </p> <p>Mediator</p> <p><a href="https://www.researchgate.net/profile/Margaret_Gold2">Margaret Gold</a>, project officer for ECSA</p>
Anuran accents: Continental-scale citizen science data reveal spatial and temporal patterns of call variability
<p>Data and code associated with the 2020 publication in Ecology and Evolution (doi:10.1002/ece3.6833).</p>
Research Data Management in Health and Biomedical Citizen Science: Practices and Prospects
<p><b>Background:</b> Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results?</p> <p><b>Objective:</b> The aim of this paper is to analyse research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research.</p> <p><b>Methods:</b> A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers.</p> <p><b>Results:</b> Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not evident.</p> <p><b>Conclusions:</b> There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.<b> </b></p>
Data from: Latitudinal variation of arrival and breeding phenology of the pied flycatcher Ficedula hypoleuca using large-scale citizen science data.
<p class="gmail-">Many species have advanced the timing of annual reproductive cycles in response to climatic warming, sometimes leading to asynchrony between trophic levels, with negative population consequences. Long-distance migratory birds, reliant on short seasonal food pulses for breeding, are considered particularly susceptible to such disjunction because late arrival may preclude optimal timing of egg-laying. It is unknown whether the relative timing of arrival and egg-laying is sufficiently plastic, in time and space, to enable an adaptive response when arrival times change relative to local food resources. We used citizen science data, describing pied flycatcher <i>Ficedula hypoleuca</i> arrival and egg-laying dates, to explore temporal (2013-2016) and spatial (across Great Britain) variation in the phenology of arrival, laying and their difference. To assess the long-term trend in arrival and laying at a single location, we used data from a long-term field study. The arrival-laying interval was consistently shorter in the north, driven by the contrast between spatial variation in arrival date and spatial invariance in laying date. To understand whether a short arrival-laying interval may have consequences for productivity, we assessed the association between this interval and clutch size. We found no statistically significant correlation between these two variables. To examine long-term changes in arrival and laying dates, we focussed on a single location in southwestern England. Both dates of first male arrival and first egg laid in a season advanced since 1986, with no evidence of interval shortening. Together, our results demonstrate spatial and annual variation in the arrival-laying interval, with no detected effect on fecundity. Thus, the interval from arrival to laying is likely dictated by spatially and temporally varying local conditions, suggesting these migrant birds may have the ability to adapt this interval to align with local conditions and mitigate potential mismatch impacts.</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.