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45 results for “science management”
Citizen science improves our understanding of the impact of soil management on wild pollinator abundance in agroecosystems
<p><span><span><span><span><span><span><span><span><span><span><span>Native bees provide essential pollination services in both natural and managed ecosystems. However, declines in native bee species highlight the need for increased understanding of land management methods that can promote healthy, persistent populations and diverse communities. This can be challenging and costly using traditional scientific methods, but citizen science can overcome many limitations. In this study, we examined the distribution and abundance of an agriculturally important wild bee species, the squash bee (<i>Eucera </i>(<i>Peponapis</i>) <i>pruinosa</i>, Hymenoptera: Apidae). They are ground nesting, specialist bees that depend on cultivated varieties of <i>Cucurbita </i>(squash, pumpkins, gourds). The intimate relationship between squash bees and their host plants suggests that they are likely sensitive to farm management practices, particularly those that disturb the soil. In this study, citizen scientists across Michigan used a smartphone application to submit field management and bee observation data. Survey results indicated that squash bees occupy a wide geographic range and are more abundant in farms with reduced soil disturbance. Citizen science provided a cheap, effective method for examining impacts of farm management practices on squash bees and could be a valuable tool for monitoring and conserving other native pollinators. </span></span></span></span></span></span></span></span></span></span></span></p>
Dataset download from Web of science for paper entitled "Management of public revenue in Indonesia according to the principle of Sharia"
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WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Supplementary material 3 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
The Convention on Biological Diversity pathway vocabulary adapted from Harrower et al. 2017. Including proposed simple labels for these terms.
Supplementary material 1 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
Distinct values for dwc:establishmentMeans and their frequency from observations on the Global Biodiversity Information Facility on 27 February 2017. Taken from GitHub repository of the Darwin Core Questions & Answers Site (https://github.com/tdwg/dwc-qa/tree/master/data/GBIFDistinctValues).
Supplementary material 2 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
A tab-delimited file mapping values (synonyms; orthographic and language variations) found in Darwin Core dwc:establishmentMeans to a controlled vocabulary.
Demystifying Open Science and Research Data Management: A practical workshop for researchers
<p>Have you ever wondered why is everyone discussing about Open Science and Research Data Management (RDM) these days? Good Research Data Management (RDM) is crucial for reproducible and robust scientific research. Consequently, more and more funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management and introduced policies on data management and sharing. However, it is easier said than done.<br> Like most researchers you might have more questions than answers about the topic. You are not alone! Come join us on the 24th at an interactive workshop where you can understand the why and how of open science and research data management in practical terms.</p> <p> </p> <p>This zenodo entry is a recording of the workshop described above. </p>
Supplementary material 2 from: Colombari F, Battisti A (2023) Citizen science at school increases awareness of biological invasions and contributes to the detection of exotic ambrosia beetles. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 211-229. https://doi.org/10.3897/neobiota.84.95177
Slides of the lecture on 'Monitoring of insect species harmful to trees and forests' and link to educational videos
SupportBP 2.0:Behavioral Science and Enrollment in Remote Monitoring for Hypertension Management
ClinicalTrials.gov study NCT04714398. IPD Sharing: NO. Countries: 1. Publications: 1.
Citizen science improves our understanding of the impact of soil management on wild pollinator abundance in agroecosystems
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Data from: Undersowing rare arable plants in cereals as a new instrument in weed management - restoration ecology meets weed science
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Data from: Advanced technologies and data management practices in environmental science: lessons from academia
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Dataset from: Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020 Applied Vegetation Science
<p>The dataset behind the paper Reed bed vegetation structure and plant species diversity depend on management type and the time period since last management by Andersen et al. 2020, Applied Vegetation Science, <a href="https://doi.org/10.1111/avsc.12531">https://doi.org/10.1111/avsc.12531</a></p> <p>The data contains information on the vegetation of four reed bed treatments all located within De Østlige Vejler, Denmark:</p> <p>- A 0-year-old harvested reed bed</p> <p>- A 0-year-old cut reed bed (reed stems left behind)</p> <p>- A 3-year-old harvested reed bed</p> <p>- A 25-year-old harvested reed bed</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>
Figure 1d from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1d - Two examples of IRES during contrasting hydrological phases. <br> The Calavon River in Mediterranean during dry phase
Figure 1a from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1a - Two examples of IRES during contrasting hydrological phases. <br> The Clauge River in the temperate Jura, France, during dry phase
Figure 1b from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1b - Two examples of IRES during contrasting hydrological phases. <br> The Clauge River in the temperate Jura, France, during flowing phase
Figure 1e from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1e - Two examples of IRES during contrasting hydrological phases. <br> The Calavon River in Mediterranean during dry phase
Figure 1c from: Datry T, Singer G, Sauquet E, Jorda-Capdevilla D, Von Schiller D, Subbington R, Magand C, Pařil P, Miliša M, Acuña V, Alves M, Augeard B, Brunke M, Cid N, Csabai Z, England J, Froebrich J, Koundouri P, Lamouroux N, Martí E, Morais M, Munné A, Mutz M, Pesic V, Previšić A, Reynaud A, Robinson C, Sadler J, Skoulikidis N, Terrier B, Tockner K, Vesely D, Zoppini A (2017) Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES). Research Ideas and Outcomes 3: e21774. https://doi.org/10.3897/rio.3.e21774
Figure 1c - Two examples of IRES during contrasting hydrological phases. <br> The Calavon River in Mediterranean during flowing phase
Business process management concept. Bibliographic collection from Web of Science (March 21, 2023).
<p>The search query: https://www.webofscience.com/wos/woscc/summary/f99d7b5d-a7bb-4c35-a8ba-d45042c4e0a9-7ab6bd8b/relevance/1. Contains 95 articles (adjusted after screening the relevance of titles, abstracts, keywords for the research purposes).</p>
ScienceDex guides
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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.