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957 results for “conference”
CollabFest 2020 Conference Round Table: 'The Mme. K. Diaspora: the Legacy of the Great Gwendolyn Koldofsky'
<div><strong>The Mme. K. Diaspora: the Legacy of the Great Gwendolyn Koldofsky</strong></div> <div> </div> <div>Audio-Visual .mp4 file featuring tributes to Gwendolyn Koldofsky from Russell Miller, Arlene Shrut, Jean Barr, Judith Bible, Paula Fan, John Greer, Martin Katz, Victoria Kirsch, Karl Paulnack and Elvia Puccinelli.</div> <div> </div> <div>From the CollabFest 2020 conference, International Keyboard Collaborative Arts Society</div> <div> </div> <div>ChoEun Lee: Video Production</div> <div>Data Curation: Chanda VanderHart</div>
Supplementary material 1 from: Di Lorenzo T, Di Marzio W, Piccini L, Messana G, Sáenz M, Galassi D (2018) Survival, metabolic rates and locomotory activities of a groundwater-obligate copepod species under long-term exposures to tetrachloroethylene. ARPHA Conference Abstracts 1: e29966. https://doi.org/10.3897/aca.1.e29966
Survival, metabolic rates and locomotory activities of a groundwater-obligate copepod species under long-term exposures to tetrachloroethylene
High MHC diversity confers no advantage for phenotypic quality and reproductive performance in a wild bird
<p class="MsoNormal"><span>Genes of the major histocompatibility complex (MHC) en</span><span>code antigen binding molecules and are an integral part of the acquired immune response of vertebrates. In general, high individual MHC diversity is expected to increase fitness by broadening the spectrum of pathogens recognized by the immune system, in accordance with the heterozygote advantage mechanism. On the other hand, the optimality hypothesis assumes that individuals with optimal (intermediate), rather than maximum diversity of the MHC will achieve the highest fitness because of inherent costs associated with expressing diverse MHC alleles.</span></p> <p class="MsoNormal"><span>Here, we tested for associations between individual diversity of the MHC class I and class II genes (binding antigens of intra- and extra-cellular pathogens, respectively) and a range of fitness-related traits (condition, ornament expression and reproduction) in an urban population of the Eurasian coot <em>Fulica atra</em>.</span></p> <p class="MsoNormal"><span>Contrary to our expectation, we found that high within-individual allelic diversity of MHC genes (both class I and II) was associated with poorer condition (lower blood haemoglobin concentrations), weaker expression of the putative ornament (smaller frontal shield), later onset of breeding and smaller clutches. An analysis of functional MHC allele clusters (supertypes) provided further support for negative associations of MHC diversity with phenotypic quality and reproductive performance, but most of these relationships could not be explained by the presence of specific maladaptive supertypes</span><span>. Finally, we found l</span><span>ittle empirical support for the optimality hypothesis in the Eurasian coot.</span></p> <p class="MsoNormal"><span>Our results suggest that the costs of high MHC diversity outweighed any benefits associated with broad MHC repertoire, which could be driven by depauperate pathogen diversity in an urban landscape. To the best of our knowledge, this is one of the first studies providing consistent evidence for negative associations of MHC diversity with a range of fitness-related traits in a natural avian population.</span></p>
Predatory conference identification criteria
<p>This list of criteria and the corresponding questions are supposed to support researchers and others in their judgement of conferences' trustworthiness. A secondary intention of compiling this list was to evaluate inhowfar this judgement can be automated. Hence, it was tried to derive quantifiable indicators out of the questions - with questionable success.</p>
Book of Abstracts from Conference for the Society for the Preservation of Natural History Collections (SPNHC), International Partner – BHL (Biodiversity Heritage Library) and National Partner – NatSCA (Natural Sciences Collections Association) 2022
<p>The complete book of abstracts (Posters & Oral Presentations). </p>
Dataset: Co-administration of adjuvanted recombinant Ov-103 and Ov-RAL2 vaccines confer protection against natural challenge in a bovine O. ochengi infection model of human onchocerciasis
<p class="MsoNormal"><span>[Abstract from accompanying manuscript]</span></p> <p class="MsoNormal"><span>Onchocerciasis (river blindness), caused by the filarial nematode <em>Onchocerca volvulus</em>, is a neglected tropical disease endemic to sub-Saharan Africa. Worldwide, an estimated 20.9 million individuals live with infected and a further 205 million are at risk of disease. Current control methods rely on mass drug administration of ivermectin to suppress microfilarial development. Presently, there are no viable treatment options effective against the long-lived adult worms. The identification and development of efficacious vaccine candidates as complementary tools to support ongoing elimination efforts are therefore a major objective of onchocerciasis research. </span></p> <p class="MsoNormal"><span>We evaluated the immunogenicity and protective effects of co-administering two leading <em>O. volvulus</em>-derived recombinant vaccine candidates (<em>Ov</em>-103 and <em>Ov</em>-RAL2) in cattle with subsequent natural exposure to <em>Onchocerca ochengi, </em>a close phylogenetic relative of <em>O. volvulus</em>.</span></p> <p class="MsoNormal"><span>Immunisation induced strong IgG responses against both vaccine candidates. Following natural exposure to <em>O. ochengi</em>, vaccination status and resulting serum antibody response was associated with delayed nodule development and onset of microfilaridermia. Peptide arrays identified several <em>Ov</em>-103 and <em>Ov</em>-RAL2-specific epitopes recognised by IgG from immunised cattle which warrant further investigation. Our data provide supporting evidence for ongoing development of a recombinant vaccine for control of human onchocerciasis.</span></p>
Data from: A single residue confers selective loss of sugar sensing in wrynecks
<p>Sensory receptors evolve, and changes to their response profiles can directly impact sensory perception and affect diverse behaviors, from mate choice to foraging decisions. Although receptor sensitivities can be highly contingent on changes occurring early in a lineage's evolutionary history, subsequent shifts in a species' behavior and ecology may exert selective pressure to modify and even reverse sensory receptor capabilities. Neither the extent to which sensory reversion occurs, nor the mechanisms underlying such shifts is well understood. Using receptor profiling and behavioral tests, we uncover both an early gain and an unexpected subsequent loss of sugar sensing in woodpeckers and wrynecks, members of the primarily insectivorous Picidae family of landbirds. Our analyses show that, similar to hummingbirds and songbirds, the ancestors of woodpeckers repurposed their T1R1-T1R3 savory receptor to detect sugars. Importantly, whereas woodpeckers seem to have broadly retained this ability, our experiments demonstrate that wrynecks (an enigmatic ant-eating group sister to all other woodpeckers) selectively lost sugar sensing through a novel mechanism involving a single amino acid change in the T1R3 transmembrane domain. The identification of this molecular microswitch responsible for a sensory shift in taste receptors provides an example of the molecular basis of a sensory reversion in vertebrates and offers novel insights into structure-function relationships during sensory receptor evolution.</p>
UK RSE Conference 2022 Walkthrough - MLOps for RSEs - Sample Data
<p>This record is intended as sample data for a Walkthrough at the UK RSE 2022 Conference titled "MLOps for RSEs". The code that uses this sample dataset can be found on <a href="https://github.com/informatics-lab/ukrse_2022_mlops_walkthrough">GitHub</a>. There are 2 parts based on the sample problems in the walkthrough</p> <ul> <li>Classifying wind rotor events</li> <li>Clustering weather regimes</li> </ul> <p><strong>Rotors Dataset</strong></p> <p>This dataset is intended as a machine learning dataset, to train a model to predict the occurrence of turbulent wind gusts called "rotors". These are wind gusts happening on the leeward side of mountains. When they occur near an airfield, this can be hazardous from aviation operations. This data is intended to be used with the code on the Met Office Data Science Community of Practice GitHub repository.</p> <p>Files:</p> <ul> <li>2021_met_office_aviation_rotors.csv - Raw dataset</li> <li>2021_met_office_aviation_rotors_preprocessed.csv - Preprocessed dataset ready for machine learning</li> <li>rotors_catalog.yml - Intake Catalog file for the rotors dataset.</li> </ul> <p>More Information:</p> <ul> <li>MO Data Science Community of Practice GitHub - https://github.com/MetOffice/data_science_cop/tree/master/challenges/2021_falklands_rotors </li> <li>Met Office Youtube - What are rotors? https://www.youtube.com/watch?v=jgSZG9SqN_s <ul> <li>What are Lee Waves? https://www.metoffice.gov.uk/weather/learn-about/weather/types-of-weather/wind/lee-waves\</li> </ul> </li> </ul> <p><strong>Weather Regime Clustering</strong></p> <p>This dataset is a UK and North Atlantic cutout of the Mean Sea-level Pressure (MSLP) field in <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5">ERA5 reanalysis dataset</a> produced by ECMWF. This dataset is used for demonstrating an unsupervised learning pipeline.</p> <p>Files:</p> <ul> <li><a href="https://zenodo.org/api/files/58a7da5c-82bf-4d65-92d6-dea0e2efb0e3/era5_mslp_UK_2017_2020.nc">era5_mslp_UK_2017_2020.nc</a> - Gridded dataset of ERA5 reanalysis data.</li> </ul>
Supplementary material 1 from: Wilson CE, Castro KL, Thurston GB, Sissons A (2016) Pathway risk analysis of weed seeds in imported grain: A Canadian perspective. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 49–74. https://doi.org/10.3897/neobiota.30.7502
Weed seed contaminant species reported in imported grain in a Canadian sampling program 2007–2015 : Explanation note: Complete list of weed seed contaminant species reported in 947 samples of 10 imported grain crops in a Canadian sampling program 2007–2015, cross-listed to number of times reported and crops reported in.
Supplementary material 4 from: Novoa A, Kumschick S, Richardson DM, Rouget M, Wilson JRU (2016) Native range size and growth form in Cactaceae predict invasiveness and impact. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 75–90. https://doi.org/10.3897/neobiota.30.7253
Results of the General Impact Scoring System applied to 70 cactus species (35 invasive and 35 non-invasive cactus species with a long history of introduction in South Africa) : Explanation note: The impact scores are expressed as the maximum impact over all the environmental and socioeconomic categories considered in this study.
Supplementary material 1 from: Brundu G, Richardson DM (2016) Planted forests and invasive alien trees in Europe: A Code for managing existing and future plantings to mitigate the risk of negative impacts from invasions. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 5–47. https://doi.org/10.3897/neobiota.30.7015
Supplementary tables : Explanation note: Table 1. Examples of specific plantation practices aimed at reducing problems with invasive alien tree species. Some of these rules can be considered of general utility, whereas others refer to specific alien tree species and aim to mitigate specific impacts. Table 2. The fifty alien trees most frequently listed (with different rankings) in European countries
Supplementary material 3 from: Novoa A, Kumschick S, Richardson DM, Rouget M, Wilson JRU (2016) Native range size and growth form in Cactaceae predict invasiveness and impact. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 75–90. https://doi.org/10.3897/neobiota.30.7253
Generic Impact Scoring System (GISS) : Explanation note: Detailed description of impact categories. An updated Excel version is available from the authors on request.
Supplementary material 2 from: Wilson CE, Castro KL, Thurston GB, Sissons A (2016) Pathway risk analysis of weed seeds in imported grain: A Canadian perspective. In: Daehler CC, van Kleunen M, Pyšek P, Richardson DM (Eds) Proceedings of 13th International EMAPi conference, Waikoloa, Hawaii. NeoBiota 30: 49–74. https://doi.org/10.3897/neobiota.30.7502
Frequency distributions showing percentage samples with number of contaminant species reported per sample for 10 imported grain crops examined in a Canadian sampling program 2007–2015 : Explanation note: Ten frequency distribution graphs (one per crop) shown in a multi-panel.
Supplementary material 1 from: Niemi M, Matala J, Melin M, Eronen V, Järvenpää H (2015) Traffic mortality of four ungulate species in southern Finland. In: Seiler A, Helldin J-O (Eds) Proceedings of IENE 2014 International Conference on Ecology and Transportation, Malmö, Sweden. Nature Conservation 11: 13–28. https://doi.org/10.3897/natureconservation.11.4416
Annual trends in population size and collisions: Explanation note: Annual trends in population size, harvest, and collisions.
Supplementary material 2 from: Niemi M, Matala J, Melin M, Eronen V, Järvenpää H (2015) Traffic mortality of four ungulate species in southern Finland. In: Seiler A, Helldin J-O (Eds) Proceedings of IENE 2014 International Conference on Ecology and Transportation, Malmö, Sweden. Nature Conservation 11: 13–28. https://doi.org/10.3897/natureconservation.11.4416
Contingency tables used in the analysis of collision and traffic mortality rates: Explanation note: Contingency tables.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
THE SECOND INTERNATIONAL SCIENTIFIC-PRACTICAL VIRTUAL CONFERENCE IN HEALTH INNOVATIONS & RESEARCH: PROGNOSIS, ACHIEVEMENT, AND CHALLENGES.
<p>THE SECOND INTERNATIONAL SCIENTIFIC-PRACTICAL VIRTUAL CONFERENCE IN HEALTH INNOVATIONS & RESEARCH: <br>PROGNOSIS, ACHIEVEMENT, AND CHALLENGES.</p>
MmWave 28 GHz MIMO channel sounding data collected in a conference room
<p>Channel sounding data sampled using a 28 GHz switched array MIMO channel sounder in a conference room.</p> <p>More information can be found in <a href="https://arxiv.org/abs/2404.19297">the corresponding publication</a> (DOI: 10.1109/TCOMM.2024.3392805), while the underlying data employs a self-explanatory structure, implemented in Matlab.</p>
A kinase fusion protein from Aegilops longissima confers resistance to wheat powdery mildew
<p>Many disease resistance genes have been introgressed into wheat from its wild relatives. However, reduced recombination within the introgressed segments hinders cloning of the introgressed genes. Here, we report the identification of wheat powdery mildew resistance gene <em>Pm13</em> originated from from <em>Aegilops longissima</em> using a method combining physical mapping with radiation-induced chromosomal aberrations and transcriptome sequencing analysis of ethyl methanesulfonate (EMS)-induced loss-of-function mutants. <em>Pm13</em> encodes a kinase fusion protein, designated MLKL-K, with an N-terminal domain of mixed lineage kinase domain-like protein (MLKL_NTD domain) and a C-terminal serine/threonine kinase domain bridged by a brace. The resistance function of <em>Pm13</em> is validated by transient and stable transgenic complementation assays. Transient over-expression analyses in <em>Nicotiana benthamiana</em> leaves and wheat protoplasts reveal that the fragment Brace-Kinase<sub>122-476</sub> of MLKL-K is capable of inducing cell death, which is dependent on a functional kinase domain and the three α-helices in the brace region close to the N-terminus of the kinase domain.</p>
Wind Value: Second Conference 2024 Introduction by Paul Leahy Video
<p>Video 3mins 57 seconds, of the presentation by Paul G Leahy which introduced the second Wind Value conference on 29th May 2024 in the Ellen Hutchins Building, of the Environmental Research Institute of University College Cork, Ireland.</p>
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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.