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86 results for “distributed science”
Data from: Using citizen science monitoring data in species distribution models to inform isotopic assignment of migratory connectivity in wetland birds
Stable isotopes have been used to estimate migratory connectivity in many species. Estimates are often greatly improved when coupled with species distribution models (SDMs), which temper estimates in relation to occurrence. SDMs can be constructed using from point locality data from a variety of sources including extensive monitoring data typically collected by citizen scientists. However, one potential issue with SDM is that these data oven have sampling bias. To avoid this potential bias, an approach using SDMs based on marsh bird monitoring program data collected by citizen scientists and other participants following protocols specifically designed to maximize detections of species of interest at locations representative of the species range. We then used the SDMs to refine isotopic assignments of breeding areas of autumn-migrating and wintering Sora (Porzana carolina), Virginia Rails (Rallus limicola), and Yellow Rails (Coturnicops noveboracensis) based on feathers collected from individuals caught at various locations in the United States from Minnesota south to Louisiana and South Carolina. Sora were assigned to an area that included much of the western U.S. and prairie Canada, covering parts of the Pacific, Central, and Mississippi Flyways. Yellow Rails were assigned to a broad area along Hudson and James Bay in northern Manitoba and Ontario, as well as smaller parts of Quebec, Minnesota, Wisconsin, and Michigan, including parts of the Mississippi and Atlantic Flyways. Virginia Rails were from several discrete areas, including parts of Colorado, New Mexico, the central valley of California, and southern Saskatchewan and Manitoba in the Pacific and Central Flyways. Our study demonstrates extensive data from organized citizen science monitoring programs are especially useful for improving isotopic assignments of migratory connectivity in birds, which can ultimately lead to better informed management decisions and conservation actions.
Data from: Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail
Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain δD assignments. We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail Rallus limicola, a secretive and declining migratory game bird in North America. Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning δD assignments on these species distribution models yielded comparably high-resolution assignments. Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana. Synthesis and applications. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.
Supplementary material 1 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
Relations between the 4 tables of the MS Access database used to store the data of the project and respective fields : Data type: Image
Supplementary material 3 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/ib.4.14916
References considered for the bibliographic records : Data type: (measurement/occurence/multimedia/etc.)
Map. Distribution of Micomitra stupida (Rossi, 1790) on data in Zaitzev [1966]; Evenhuis, Greathead [2015] and the collection of the Zoological institute of Russian Academy of Sciences. Карта. Распространение Micomitra stupida (Rossi, 1790) по данным иЗ Зайцева [1966]; Evenhuis, Greathead [2015] и коллекционным материалам Зоологического института РАН. in First record of a bee fly (Diptera: Bombyliidae) parasitic on antlions (Myrmeleontidae) in Russia
Map. Distribution of Micomitra stupida (Rossi, 1790) on data in Zaitzev [1966]; Evenhuis, Greathead [2015] and the collection of the Zoological institute of Russian Academy of Sciences. Карта. Распространение Micomitra stupida (Rossi, 1790) по данным иЗ Зайцева [1966]; Evenhuis, Greathead [2015] и коллекционным материалам Зоологического института РАН.
Supplementary material 1 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/italianbotanist.4.14916
Relations between the 4 tables of the MS Access database used to store the data of the project and respective fields : Data type: Image
Supplementary material 3 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/italianbotanist.4.14916
References considered for the bibliographic records : Data type: (measurement/occurence/multimedia/etc.)
Supplementary material 1 from: Assmann T, Boutaud E, Buse J, Drees C, Friedman A-L, Harry I, Khoury F, Orbach E, Renan I, Schmidt C, Schmidt K, Wrase DW, Zumstein P (2021) The ground beetle tribe Platynini Bonelli, 1810 (Coleoptera, Carabidae) in the southern Levant: dichotomous and interactive identification tools, ecological traits, and distribution. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 449-478. https://doi.org/10.3897/zookeys.1044.62615
Material examined: Records of the Platynini from the southern Levant hosted in studied collections (see for abbreviation: Materials and methods)
Supplementary material 2 from: Assmann T, Boutaud E, Buse J, Drees C, Friedman A-L, Harry I, Khoury F, Orbach E, Renan I, Schmidt C, Schmidt K, Wrase DW, Zumstein P (2021) The ground beetle tribe Platynini Bonelli, 1810 (Coleoptera, Carabidae) in the southern Levant: dichotomous and interactive identification tools, ecological traits, and distribution. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 449-478. https://doi.org/10.3897/zookeys.1044.62615
Single access identification key generated by Xper3, using weights of the characters and prioritization of characters with few states
FIGURE 8. Macrochaetae distribution, a — S in Two Seira Lubbock 1869 (Collembola, Arthropleona, Entomobryidae) new to science, with remarkable secondary sexual characters
FIGURE 8. Macrochaetae distribution, a — S. raptora sp. n.; b — S. mantis sp. n. Schematic representation according to Christiansen and Bellinger (1998, 2000) modified from Jacquemart, 1974.
FIGURE 2 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 2. Corythucha arcuata (Say, 1832): A. Male specimen on an oak (Quercus sp.) leaf from İstanbul, B. Nymphs on an oak (Quercus sp.) leaf from the same locality.
FIGURE 1. Zelus renardii Kolenati, 1856 in Insecta non gratae: New Distribution Records of Eight Alien Bug (Hemiptera) Species in Turkey with Contributions of Citizen Science
FIGURE 1. Zelus renardii Kolenati, 1856: A. Adult male from İstanbul, B. Mating specimens from İzmir, C. Nymphe from İzmir. D. Egg pile from İstanbul.
FIG. 2 in The Utility of Acoustic Citizen Science Data in Understanding Geographic Distributions of Morphologically Conserved Species: Frogs in the Litoria phyllochroa Species Group
FIG. 2. Map of eastern Australia including the states of Queensland (QLD), New South Wales (NSW), Australian Capital Territory (ACT), and Victoria (VIC) showing the mapped ranges of known extant species in the Litoria phyllochroa group as informed by data from FrogID and the Atlas of Living Australia, including areas where species' ranges may overlap.
FIG. 1 in The Utility of Acoustic Citizen Science Data in Understanding Geographic Distributions of Morphologically Conserved Species: Frogs in the Litoria phyllochroa Species Group
FIG. 1. Map of eastern Australia including the states of Queensland (QLD), New South Wales (NSW), Australian Capital Territory (ACT), and Victoria (VIC) showing records of known extant species of the Litoria phyllochroa group from the Atlas of Living Australia (ALA; A), FrogID (B), and a combined dataset containing both FrogID records and those deemed spatially and taxonomically reliable from ALA (C).
Data from: Estimates of observer expertise improve species distributions from citizen science data
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Reconciling seascape genetics and fisheries science in three co-distributed flatfishes
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The impact of data quality filtering of opportunistic citizen science data on species distribution model performance: dataset used for Maxent modelling.
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Data from: Using citizen science monitoring data in species distribution models to inform isotopic assignment of migratory connectivity in wetland birds
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Data from: Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail
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Simple portable quantum key distribution for science outreach
<p>Data used to calculate the photon delay distribution</p>
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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.