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77 results for “citizen scientist”
Survey of Citizen Scientists
<p>This dataset reports on a survey on the overall experiences of a citizen scientist population, mainly in Europe. Dimensions investigated include activities undertaken, knowledge of open science concepts, and data practices.</p> <p>This version (v3) is translated into english.</p> <p>The corresponding publication for this dataset is:</p> <p>O’Grady, M., Mangina, E. Citizen scientists—practices, observations, and experience. <em>Humanit Soc Sci Commun</em> <strong>11</strong>, 469 (2024). https://doi.org/10.1057/s41599-024-02966-x</p>
The arrival and spread of the European firebug Pyrrhocoris apterus in Australia as documented by citizen scientists
<p>Data and R script to reproduce analyses conducted in <strong>The arrival and spread of the European firebug <em>Pyrrhocoris apterus</em> in Australia as documented by citizen scientists</strong></p> <p><strong>Abstract</strong></p> <p>We present evidence of the recent introduction and quick spread of the European firebug <em>Pyrrhocoris apterus</em> in Australia, as documented on the citizen science platform iNaturalist. The first public record of the species was reported in December 2018 in the City of Brimbank (Melbourne, Victoria). Since then, the species distribution has quickly expanded into 15 local government areas surrounding this first observation, including areas in both Metropolitan Melbourne and regional Victoria. The number of records of the European firebug in Victoria has also seen a substantial increase, with a current tally of almost 100 observations in iNaturalist as of July 31<sup>st</sup>, 2021.</p> <p>The case of the European firebug in Australia adds to the list of examples of citizen scientists playing a key role in not only early detection of newly introduced species but in documenting their expansion across their non-native range. Citizen science presents an exciting opportunity to complement biosecurity efforts carried out by government agencies, which often lack resources to sufficiently fund detection and monitoring programs given the overwhelming number of current and potential invasive species. Recognising and supporting the invaluable contribution of citizen scientists to science and society can help reduce this gap by: (1) increasing the number of introduced species that are quickly detected; (2) gathering evidence of the species’ early expansion stage; and (3) prompting adequate monitoring and rapid management plans for potentially harmful species.</p> <p>Given the range expansion patterns of the European firebug worldwide, their adaptation ability, and future climate scenarios, we suspect this species will continue expanding beyond Victoria, including other parts of Australia, New Zealand, and the South Pacific. We firmly believe that most of the knowledge about how this expansion process continues to happen will be provided by citizen scientists.</p>
CSI-COP Citizen Scientists App Investigations
<p>This open-access dataset presents project results from CSI-COP project work package 4 task T4.2 in which citizen scientists conducted investigations on apps in their smart devices. The App investigations dataset was created using Excel spreadsheet. Users can explore the information recorded by the citizen scientists by using the filters on the column headings, for example, on type of app (games; news, etc.), or language of app (including English, Greek, Hebrew).</p>
EU HORIZON2020 CSI-COP Anonymous dataset on Citizen scientists
<p>This dataset complements CSI-COP deliverable report D4.3: '<strong>CSI-COP Citizen Scientists Age, Gender, Socio-Economic and Geographical (AGSEG) Distribution Report</strong>'. </p><p>Researchers can review the dataset and analyse anonymous data on who the citizen scientists were in the EU Horizon2020 funded CSI-COP project with citizen scientists investigating GDPR compliance in websites and apps.</p>
Do Carefully-timed Email Messages Increase Accuracy and Precision in Citizen Scientists' Reports of Events?
<p>Periodic messages are a commonly used tactic for reminding citizen science program participants to take a desired action such as collecting observations. In this study, we evaluate the impact of such messages on the accuracy and precision of observations contributed to <em>Nature’s Notebook</em>, a citizen science phenology observing program.</p> <p>To encourage participants in <em>Nature’s Notebook</em> to log the timing of leaf-out and flowering with maximum accuracy and precision, we email observers three days prior to when the events were expected to occur based on forecast models. Unplanned interruptions to the scripts driving these email prompts allowed us to evaluate whether the messages had the intended impacts.</p>
Linked collectors and determiners for: Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a>. Formatted as a Frictionless Data package.
FIG. 6 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 6. — Temporal distribution of Annonaceae specimens collected in the Herbonautes dataset. The Histogram and left hand axis represent specimens collected per 5-year intervals. The right-hand axis and continuous line represent the cumulative specimens collected in total over the entire time period. The earliest Annonaceae collected and transcribed within the dataset is from 1740, a specimen of Annona squamosa L. collected in China by Pierre Nicolas le Chéron d'Incarville. The newest transcribed specimens are from 2015.
FIG. 5 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 5. — Spatial distribution of species richness in datasets for Madagascar at 0.5 × 0.5° grid resolution: A, curated expert dataset; B, herbonautes transcribed data; C, GBIF data. Equirectangular (EPSG 4326) projection.
FIG. 4 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 4. — Global spatial coverage of datasets, showing regions covered by both Herbonautes (P) and GBIF data, just by GBIF and just by Herbonautes. Grid resolution 1 × 1° (c. 110 × 110 km at the equator), equirectangular (EPSG 4326) projection.
CSI-COP Citizen scientists website investigations
<p>This open-access dataset presents project results from CSI-COP project work package 4 task T4.1 in which citizen scientists conducted investigations on websites across the Internet. The website investigations' dataset was created using Excel spreadsheet. Users can explore the information recorded by the citizen scientists by using the filters on the column headings, for example, on type of website (games; news, etc.), or language of website (including English, Greek, Hebrew).</p>
Data from: Continent‐scale phenotype mapping using citizen scientists' photographs
Field investigations of phenotypic variation in free‐living organisms are often limited in scope owing to time and funding constraints. By collaborating with online communities of amateur naturalists, investigators can greatly increase the amount and diversity of phenotypic data in their analyses while simultaneously engaging with a public audience. Here, we present a method for quantifying phenotypes of individual organisms in citizen scientists' photographs. We then show that our protocol for measuring wing phenotypes from photographs yields accurate measurements in two species of Calopterygid damselflies. Next, we show that, while most observations of our target species were made by members of the large and established community of amateur naturalists at iNaturalist.org, our efforts to increase recruitment through various outreach initiatives were successful. Finally, we present results from two case studies: (1) an analysis of wing pigmentation in male smoky rubyspots (Hetaerina titia) showing previously undocumented geographical variation in a seasonal polyphenism, and (2) an analysis of variation in the relative size of the wing spots of male banded demoiselles (Calopteryx splendens) in Great Britain questioning previously documented evidence for character displacement. Our results demonstrate that our protocol can be used to create high quality phenotypic datasets using citizen scientists' photographs, and, when combined with metadata (e.g., date and location), can greatly broaden the scope of studies of geographical and temporal variation in phenotypes. Our analyses of the recruitment and engagement process also demonstrate that collaborating with an online community of amateur naturalists can be a powerful way to conduct hypothesis‐driven research aiming to elucidate the processes that impact trait evolution at landscape scales.
Evaluation data for: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study
<p>All of the evaluation data for the simulations in the paper: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study. We considered the impact of five adaptive sampling methods on the performance of species distribution models (SDMs), please see the paper for more information. Contained in this repository are the evaluation metrics (AUC, mean square error (MSE) and correlation) for SDMs before and after adaptive sampling has taken place. The MSE and correlation evaluation metrics were calculated against the true distributions of the species. These files are those with "combined_outputs" in the titles. The repository also contains the observations of all the species in the simulations both before and after adaptive sampling (the files with "all_observations" in the title.</p> <p>These datasets are to be used with the plotting and evaluation scripts in the GitHub repository associated with the paper.</p>
Data collected by citizen scientists reveal the role of climate and phylogeny on the frequency of shelter types used by frogs across the Americas
<p><strong>Supplementary Material </strong> of the manuscript on frog shelters across americas. Raw data and figures.</p> <p><strong>Table S1.</strong> The number of all anuran observations per species per country in the iNaturalist dataset on July 1, 2021.</p> <p><strong>Table S2.</strong> Distribution of shelter types among frog species retrieved from the iNaturalist platform across the Americas. Species with shelter first time reports are marked with *, shelter types are: AH = Holes in an artificial material; AS = Artificial surface; HG = Hole in the ground; HR = Among rocks; VBa = Hollow in bamboo; VBr = Bromelias or bromelia-like plants; VL = Live vegetation; VT = Tree trunk; VD = Leaf litter; WA = Water</p> <p><strong>Table S3.</strong> Anuran shelter sites around the world based on our literature review. *indicates the reference is secondary literature</p>
TABLE 1 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
<p>TABLE 1. — Species per dataset and continent.</p><table><tbody><tr><th><b>Region</b></th><th><b>GBIF</b></th><th><b>Herbonautes</b></th><th><b>Herbonautes and not</b> <b>found in GBIF</b></th></tr></tbody><tbody><tr><th>Americas</th><td>700</td><td>248</td><td>7</td></tr><tr><th>Africa</th><td>268</td><td>189</td><td>17</td></tr><tr><th>Madagascar</th><td>79</td><td>79</td><td>10</td></tr><tr><th>Asia and Oceania</th><td>621</td><td>492</td><td>125</td></tr></tbody></table>
Data for Ferretto et al, 2021 "Naturally-detached fragments of the endangered seagrass Posidonia australis collected by citizen scientists can be used to successfully restore fragmented meadows"
<p>Please find attached the data for the manuscript "Ferretto et al, 2021" and a brief description of each file.</p>
Students as citizen scientists: project-based learning through the iNaturalist platform could provide useful biodiversity data
<p>This is a compilation of data from iNaturalist platform based on the geographic limits of brazilian semiarid until 28 october, 2022.</p>
Data from CoFish: co-designing citizen science between fishers and scientists to monitor the phosphorus distribution across two Lake Geneva basins
Open the record for dataset details and reuse information.
Data from: Continent‐scale phenotype mapping using citizen scientists’ photographs
Open the record for dataset details and reuse information.
Figure 19 in Additional new species of Grouvellinus Champion 1923 (Insectaı Coleopteraı Elmidae) discovered by citizen scientists and DNA barcoded in the field applying a novel MinIONbased workflow
Figure 19. Statistical parsimony network of mtDNA haplotypes produced by TCS based on CO1 partial sequences (654 bp). High numbers of 'missing haplotypes' are indicated by their respective count. Coloured circles represent existing haplotypes from the sample set.
Figure 18 in Additional new species of Grouvellinus Champion 1923 (Insectaı Coleopteraı Elmidae) discovered by citizen scientists and DNA barcoded in the field applying a novel MinIONbased workflow
Figure 18. Map of Sabah and Brunei (Borneo) with collecting site of Grouvellinus species with new species record in red fonts.
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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.