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OpenMed Pilot Course Data
<p>Datasets related with the OpenMed Pilot Course External Evaluation Report (Version Final). <a href="http://doi.org/10.5281/zenodo.1284281">http://doi.org/10.5281/zenodo.1284281</a></p>
Course material-- DATA for ClathrinCLEM chapter
<p>Course material associated to NEUBIAS chapter "Resolving the process of Clathrin mediatedendocytosis using Correlative Light and Electron Microscopy.</p> <p>This is the data needed to follow this workflow chapter.</p>
Training material for the course "Exome analysis with GALAXY"
<p>Galaxy is an open source, web-based platform for data intensive biomedical research. It makes accessible bioinformatics applications to users lacking programming skills, enabling them to easily build analysis workflows for NGS data.<br /> <br /> The course "<strong>Exome analysis using Galaxy</strong>" is aimed at PhD student, biologists, clinicians and researchers who are analysing, or need to analyse in the near future, high throughput exome sequencing data. The aim of the course is to make participants familiarise with the Galaxy platform and prepare them to work independently, using state-of-the art tools for the analysis of exome sequencing data.</p> <p>The course will be delivered using a mixture of lectures and computer based hands-on practical sessions. Lectures will provide an up-to-date overview of the strategies for the analysis of exome next-generation experiments, starting from the raw sequence data. Analyses include sequence quality control, alignment to a reference genome, refinement of aligned sequences, variant calling, annotation and interpretation, and tools for visual inspection of results. Participants will apply the knowledge gained during the course to the analysis of Illumina’s real exome datasets, and implement workflows to reproduce the complete analysis. After the course, participants will be able to create pipeline for their individual analyses.</p> <p>Those are the needed datasets for this course.</p>
Artificial Intelligence Course
<p><a href="https://intellipaat.com/artificial-intelligence-deep-learning-course-with-tensorflow/">Intellipaat Artificial Intelligence course</a> online certification using TensorFlow is an industry-designed certification training to master Convolutional Neural Network (CNN), Perceptron in CNN, TensorFlow, TensorFlow-Code, graph visualization, transfer learning, recurrent neural networks, deep learning libraries, Keras & TFLearn API, GPU in deep learning, backpropagation, and hyperparameters through hands-on projects. Learn AI with this Artificial Intelligence course online using TensorFlow. In <a href="https://intellipaat.com/artificial-intelligence-course-india/">Indian</a> cities like <a href="https://intellipaat.com/artificial-intelligence-course-bangalore/">Bangalore</a>, and <a href="https://intellipaat.com/artificial-intelligence-course-hyderabad/">Hyderabad</a>, AI course is provided too.</p> <p> </p>
Fig. 2 in A monument of inefficiency: The presumed course of the recurrent laryngeal nerve in sauropod dinosaurs
Fig. 2. The longest cells in the bodies of sauropods were sensory neurons that connected receptors in the skin of the extremities with interneurons in the brainstem, a pattern of neural architecture that is present in all extant vertebrates. The nerve cell bodies would have been located in the dorsal root ganglia adjacent to the spinal cord. The diagram of the neuron is based on Butler and Hodos (1996: fig. 2−1B).
Fig. 1 in A monument of inefficiency: The presumed course of the recurrent laryngeal nerve in sauropod dinosaurs
Fig. 1. Course of the left vagus nerve and left recurrent laryngeal nerve in a human, a giraffe, and Supersaurus. The right recurrent laryngeal nerve passes caudal to the right subclavian artery rather than the aorta and ductus arteriosus, but otherwise its course is identical to that of the left.
Relevance of predictive and postdictive error information in the course of motor learning.
<p>Dataset associated with the following publication:</p> <p>Maurer, LK, Joch, M, Hegele, M, Maurer, H, & Müller, H (2021). Relevance of predictive and postdictive error information in the course of motor learning. Neuroscience doi:10.1016/j.neuroscience.2021.05.007</p>
Dateset related to article "Cytokines as potential biomarkers of disease clinical course in muscular dystrophies "
<p>This database includes a comprehensive profile of circulating pro- and anti-inflammatory molecules (cytokines, chemokines and growth factors) obtained from a group of 53 patients with muscular laminopathy, 10 with non-muscular laminopathy, 22 with other muscular disorders and 35 healthy controls. Data obtained by Luminex multiple immune-assay identify TGF-b2, IL-17 and G-CSF as potential biomarkers in discriminating between muscle-related laminopathy and healthy subjects. The different expression of IL-1b, IL-4 and IL-8 among the different forms of laminopathy provides a new hint for the understanding of the pathogenic mechanisms underlying the diverse phenotypes caused by <em>LMNA</em> mutations.</p>
Text-fig. 15. Scanning electron microscope (SEM) images of seeds of Pazliopsis reyi (a–c) and Anaspermum operculatum gen. et sp. nov. (d–j). a) Seed in lateral view showing poorly preserved remains of fruit wall and rough surface of the exotesta; b) Section through the wall of a broken seed showing palisade cells of the exotesta; c) Seed surface showing sunken very deeply sinuous outlines of the exotesta cells; d–f, h, i) Seeds in lateral view (holotype figured in d) showing the pointed micropylar-hilar area, the rounded chalazal end, the smooth surface of the exotesta composed of cells with sinuous cell outlines, and the distinct course of the raphe; g) Surface of the exotesta showing the distinctive cell outlines formed by the sinuous anticlinal walls of the palisade cells; j) Apical view of seed showing the prominent operculum. Specimens, TV43-S171534 (a), TV44-S136683 (b), TV43-S136745 (c), TV43-S136740 (holotype; d), TV43-S136746 (e), TV43-S136739 (f), TV43-S170083 (g), TV S136743 (h), TV43-S136742 (i), TV38-S174608 (j). Scale bars 300 Μm (a, b, d–f, h, i), 50 Μm (j), 30 Μm (c, g). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 15. Scanning electron microscope (SEM) images of seeds of Pazliopsis reyi (a–c) and Anaspermum operculatum gen. et sp. nov. (d–j). a) Seed in lateral view showing poorly preserved remains of fruit wall and rough surface of the exotesta; b) Section through the wall of a broken seed showing palisade cells of the exotesta; c) Seed surface showing sunken very deeply sinuous outlines of the exotesta cells; d–f, h, i) Seeds in lateral view (holotype figured in d) showing the pointed micropylar-hilar area, the rounded chalazal end, the smooth surface of the exotesta composed of cells with sinuous cell outlines, and the distinct course of the raphe; g) Surface of the exotesta showing the distinctive cell outlines formed by the sinuous anticlinal walls of the palisade cells; j) Apical view of seed showing the prominent operculum. Specimens, TV43-S171534 (a), TV44-S136683 (b), TV43-S136745 (c), TV43-S136740 (holotype; d), TV43-S136746 (e), TV43-S136739 (f), TV43-S170083 (g), TV S136743 (h), TV43-S136742 (i), TV38-S174608 (j). Scale bars 300 Μm (a, b, d–f, h, i), 50 Μm (j), 30 Μm (c, g).
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing
Text-fig. 12. Lower molars of (a) Omanitherium dhofarense and (b) Moeritherium chehbeurameuri. a) stereo occlusal views of ONHM TN 2017-50, posterior lophid of an unworn right lower molar, probably m/2, from Mohammed's molar site, Dhofar, Oman, b) stereo occlusal views of MNHN 1890-14, left lower molar from "Khenchella", Algeria (note the longitudinal sulcus in the centre-line of the tooth of Moeritherium and its absence in Omanitherium). Arrows show the course of the sulcus in the molar from "Khenchella" (scale bar 10 mm). in Large Mammals From The Rupelian Of Oman - Recent Finds
Text-fig. 12. Lower molars of (a) Omanitherium dhofarense and (b) Moeritherium chehbeurameuri. a) stereo occlusal views of ONHM TN 2017-50, posterior lophid of an unworn right lower molar, probably m/2, from Mohammed's molar site, Dhofar, Oman, b) stereo occlusal views of MNHN 1890-14, left lower molar from "Khenchella", Algeria (note the longitudinal sulcus in the centre-line of the tooth of Moeritherium and its absence in Omanitherium). Arrows show the course of the sulcus in the molar from "Khenchella" (scale bar 10 mm).
Text-fig. 3. Pazlia hilaris gen. et sp. nov. (a–e) from the Early Cretaceous Famalicão locality (sample 025), Portugal (holotype, S175096) and Pazliopsis reyi gen. et sp. nov. (f–i) from the Early Cretaceous Torres Vedras locality, Portugal; Synchrotron radiation X-ray tomographic microscopy (SRXTM, volume renderings a–f, i) and scanning electron microscopy (SEM, g, h). a, b) Seed in lateral (a) and oblique apical (b) views showing the truncate hilar-micropylar region; note prominent hilar scar (hi) and micropyle (mi) at the seed apex and the raphe (ra) seen as slightly raised ridge; remains of mounting media (¤). c) Cut volume rendering (cut at yz0647) showing course of raphe (ra), hilar scar (hi) and micropyle (mi); note the strongly radially elongated cells below the hilar scar. d) Seed in antiraphal view. e) Seed surface showing the raised undulate anticlinal walls of the exotestal cells. f) Seed enclosed in remains of thin-walled fruit (fr) (S174632, Torres Vedras sample 298). g) Holotype, seed enclosed in remains of fruit (fr); raphal view showing the faintly ribbed surface of the seed (S171534, Torres Vedras sample 043). h) Apical view of seed fragment showing hilar scar (hi), position of raphe (ra) and the ribbed seed surface (S136683, Torres Vedras sample 044). i) Seed surface showing the raised undulate anticlinal walls of the exotestal cells (S171534; Torres Vedras sample 043). Scale bars = 250 µm (a–d, f–h); 125 µm (e, i). in Extinct Taxa Of Exotestal Seeds Close To Austrobaileyales And Nymphaeales From The Early Cretaceous Of Portugal
Text-fig. 3. Pazlia hilaris gen. et sp. nov. (a–e) from the Early Cretaceous Famalicão locality (sample 025), Portugal (holotype, S175096) and Pazliopsis reyi gen. et sp. nov. (f–i) from the Early Cretaceous Torres Vedras locality, Portugal; Synchrotron radiation X-ray tomographic microscopy (SRXTM, volume renderings a–f, i) and scanning electron microscopy (SEM, g, h). a, b) Seed in lateral (a) and oblique apical (b) views showing the truncate hilar-micropylar region; note prominent hilar scar (hi) and micropyle (mi) at the seed apex and the raphe (ra) seen as slightly raised ridge; remains of mounting media (¤). c) Cut volume rendering (cut at yz0647) showing course of raphe (ra), hilar scar (hi) and micropyle (mi); note the strongly radially elongated cells below the hilar scar. d) Seed in antiraphal view. e) Seed surface showing the raised undulate anticlinal walls of the exotestal cells. f) Seed enclosed in remains of thin-walled fruit (fr) (S174632, Torres Vedras sample 298). g) Holotype, seed enclosed in remains of fruit (fr); raphal view showing the faintly ribbed surface of the seed (S171534, Torres Vedras sample 043). h) Apical view of seed fragment showing hilar scar (hi), position of raphe (ra) and the ribbed seed surface (S136683, Torres Vedras sample 044). i) Seed surface showing the raised undulate anticlinal walls of the exotestal cells (S171534; Torres Vedras sample 043). Scale bars = 250 µm (a–d, f–h); 125 µm (e, i).
[Dataset] Data for the course "Population Genomics" at Aarhus University
<p>Datasets, conda environments and Softwares for the course "Population Genomics" of Prof Kasper Munch. This course material is maintained by the <a href="https://hds-sandbox.github.io/">health data science sandbox</a>. This <a href="https://hds-sandbox.github.io/PopulationGenomicsCourse/">webpage</a> shows the latest version of the course material.</p> <ol> <li> Data.tar.gz Contains the datasets and executable files for some of the softwares<br> You can unpack by simply doing<br> tar -zxf Data.tar.gz -C ./<br> This will create a folder called Data with the uncompressed material inside</li> <li>Course_Env.packed.tar.gz Contains the conda environment used for the course. This needs to be unpacked to adjust all the prefixes (Note this environment is created on Ubuntu 22.10). You do this in the command line by <ol> <li>creating the folder Course_Env: mkdir Course_Env</li> <li>untar the file: tar -zxf Course_Env.packed.tar.gz -C Course_Env</li> <li>Activate the environment: conda activate ./Course_Env</li> <li>Run the unpacking script (it can take quite some time to get it done): conda-unpack</li> </ol> </li> <li>Course_Env.unpacked.tar.gz The same environment as above, but will work only if untarred into the folder /usr/Material - so use the version above if you are using it in another folder. This file is mostly to execute the course in our own cloud environment.</li> <li>environment_with_args.yml The file needed to generate the conda environment. Create and activate the environment with the following commands: <ol> <li>conda env create -f environment_with_args.yml -p ./Course_Env</li> <li>conda activate ./Course_Env</li> </ol> </li> </ol> <p> </p> <p>The data is connected to the following repository:<a href="https:// github.com/hds-sandbox/Popgen_course_aarhus."> https://github.com/hds-sandbox/Popgen_course_aarhus.</a> The original course material from Prof Kasper Munch is at <a href="https://github.com/kaspermunch/PopulationGenomicsCourse">https://github.com/kaspermunch/PopulationGenomicsCourse</a>.</p> <p> </p> <p><strong>Description</strong></p> <p>The participants will after the course have detailed knowledge of the methods and applications required to perform a typical population genomic study.</p> <p>The participants must at the end of the course be able to:</p> <ul> <li>Identify an experimental platform relevant to a population genomic analysis.</li> <li>Apply commonly used population genomic methods.</li> <li>Explain the theory behind common population genomic methods.</li> <li>Reflect on strengths and limitations of population genomic methods.</li> <li>Interpret and analyze results of population genomic inference.</li> <li>Formulate population genetics hypotheses based on data</li> </ul> <p>The course introduces key concepts in population genomics from generation of population genetic data sets to the most common population genetic analyses and association studies. The first part of the course focuses on generation of population genetic data sets. The second part introduces the most common population genetic analyses and their theoretical background. Here topics include analysis of demography, population structure, recombination and selection. The last part of the course focus on applications of population genetic data sets for association studies in relation to human health.</p> <p>Curriculum</p> <p>The curriculum for each week is listed below. "Coop" refers to a set of <a href="https://github.com/cooplab/popgen-notes/releases/download/v1.2/minicoop.pdf">lecture notes by Graham Coop</a> that we will use throughout the course.</p> <p>Course plan</p> <ol> <li>Course intro and overview: <ul> <li>Coop chapters 1, 2, 3, <a href="https://www.nature.com/articles/nature18964">Paper: Genome Diversity Project</a></li> </ul> </li> <li>Drift and the coalescent: <ul> <li>Coop chapter 4; <a href="https://www.nature.com/articles/ng.3036">Paper: Platypus</a></li> <li>Exercise: Read mapping and base calling</li> </ul> </li> <li>Recombination: <ul> <li>Lecture: <a href="https://royalsocietypublishing.org/doi/10.1098/rstb.2016.0455">Review: Recombination in eukaryotes</a>, <a href="https://www.nature.com/articles/s41576-020-0240-1">Review: Recombination rate estimation</a></li> <li>Exercise: Phasing and recombination rate</li> </ul> </li> <li>Population strucure and incomplete lineage sorting: <ul> <li>Lecture: Coop chapter 6, <a href="https://doi.org/10.1146/annurev-genet-120213-092532">Review: Incomplete lineage sorting</a></li> <li>Exercise: Working with VCF files</li> </ul> </li> <li>Hidden Markov models: <ul> <li>Lecture: Durbin chapter 3, <a href="https://www.nature.com/articles/nature07331">Paper: population structure</a></li> <li>Exercise: Inference of population structure and admixture</li> </ul> </li> <li>Ancestral recombination graphs: <ul> <li>Lecture: <a href="https://bmcgenomdata.biomedcentral.com/articles/10.1186/1471-2156-7-16">Paper: Approximating the ARG</a>, <a href="https://www.nature.com/articles/s41588-019-0484-x">Paper: Tree inference</a></li> <li>Exercise: ARG dashboard exercises + Inference of trees along sequence</li> </ul> </li> <li>Past population demography: <ul> <li>Lecture: Coop chapter 4, <a href="https://www.nature.com/articles/nature10231">Paper: PSMC</a>, revisit <a href="https://www.nature.com/articles/s41588-019-0484-x">Paper: Tree inference</a></li> <li>Exercise: Inferring historical populations</li> </ul> </li> <li>Direct and linked selection: <ul> <li>Lecture: Coop chapters 12, 13, revisit <a href="https://www.nature.com/articles/s41588-019-0484-x">Paper: Tree inference</a></li> </ul> </li> <li>Admixture: <ul> <li>Lecture: <a href="https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007349">Review: Admixture</a>, <a href="https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007641">Paper: Admixture inference</a></li> <li>Exercise: Detecting archaic ancestry in modern humans</li> </ul> </li> <li>Genome-wide association study (GWAS): <ul> <li>Lecture: <a href="https://github.com/cooplab/popgen-notes/releases/download/v1.2/release_popgen_notes.pdf">Coop lecture notes</a> 99-120</li> <li>Exercise: GWAS quality control</li> </ul> </li> <li>Heritability: <ul> <li>Lecture: Coop Lecture notes Sec. 2.2 (p23-36) + Chap. 7 (p119-142)</li> <li>Exercise: Association testing</li> </ul> </li> <li>Evolution and disease: <ul> <li>Lecture: Coop Lecture notes Sec. 11.0.1 (p217-221)</li> <li>Exercise: Estimating heritability</li> </ul> </li> </ol>
The effect of Vitamin D levels on the course of COVID-19 in hospitalized patients – a 1-year prospective cohort study
<p>Background: The aim of the current study was to assess the patients with COVID-19 and the impact of vitamin D supplementation on the course of COVID-19.<br> Methods: This prospective cohort study included patients hospitalized due to COVID-19 between December 2020 and December 2021. Patients' demographic, clinical, and laboratory parameters were analysed. <br> Results: 301 participants were enrolled in the study. 46 (15,3%) had moderate, and 162 (53,8%) had severe COVID-19. 14 (4,7%) patients died, and 30 (10,0%) were admitted to the ICU due to disease worsening. The majority needed oxygen therapy (n=224; 74,4%). Average vitamin 25(OH)D3 levels were below optimal at the admittance, and vitamin D deficiency was detected in 205 individuals. More male patients were suffering from vitamin D deficiency. Patients with the more severe disease showed lower levels of vitamin 25(OH)D3 in their blood. The most severe group of patients had more symptoms that lasted significantly longer with progressing disease severity. This group of patients also suffered from more deaths, ICU admissions, and treatments with dexamethasone, remdesivir, and oxygen.<br> Conclusion: Patients with the severe course of COVID-19 were shown to have increased inflammatory parameters, increased mortality, and higher incidence of vitamin D deficiency. The results suggest that the vitamin D deficiency might represent a significant risk factor for a severe course of COVID-19.</p> <p> </p>
Selenium Course
<p>Looking to improve your automated testing skills? Our Selenium automation course covers everything from setting up your environment to writing effective test scripts, working with dynamic web pages, and integrating with other tools. With plenty of hands-on experience and expert instructors, you'll be able to take your testing to the next level. Enroll now and become a master of automated web application testing with Selenium.</p> <p>https://skillanto.com/</p>
Development of a national point-of-care ultrasound training course for physicians in Japan: A 3-year evaluation
<p><strong>Purpose</strong>: Point-of-care ultrasound (POCUS) allows bedside clinicians to acquire, interpret, and integrate ultrasound images into patient care. Although the availability of POCUS training courses has increased, the educational effectiveness of these courses is unclear.</p> <p><strong>Methods</strong>: From 2017 to 2019, we investigated the educational effectiveness of a standardized 2-day hands-on POCUS training course and changes in pre- and post-course exam scores in relationship to participants’ (n = 571) clinical rank, years of POCUS experience, and frequency of POCUS use in clinical practice.</p> <p><strong>Results</strong>: The mean pre- and post-course examination scores were 67.2 (standard deviation [SD] 12.3) and 79.7 (SD 9.7), respectively. Higher pre-course examination scores were associated with higher clinical rank, more years of POCUS experience, and more frequent POCUS use (p < 0.05). All participants showed significant changes in pre- to post-course exam scores. Though pre-course scores differed by clinical rank, POCUS experience, and frequency of POCUS use, differences in post-course scores according to participant baseline differences were non-significant.</p> <p><strong>Conclusion</strong>: A standardized hands-on POCUS training course is effective for improving POCUS knowledge regardless of baseline differences in clinical rank, POCUS experience, or frequency of POCUS use. Future studies shall evaluate changes in POCUS use in clinical practice after POCUS training.</p>
Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study
<p>In recent years, artificial intelligence (AI) has been increasingly used in education and supports teachers in creating educational material and students in their learning progress. AI- driven learning support has recently been further strengthened by the release of ChatGPT, in which users can retrieve expla- nations for various concepts in a few minutes through chat. However, to what extent the use of AI models, such as ChatGPT, is suitable for the creation of didactically and content-wise good exercises for programming courses is not yet known. Therefore, in this paper, we investigate the use of AI-generated exercises for beginner and intermediate programming courses in higher education using ChatGPT. We created 12 exercise sheets with ChatGPT for a beginner to intermediate programming course focusing on the objects-first approach. We report our process, prompts, and experience using ChatGPT for this task and outline good practices we identified. The generated exercises are assessed and revised, primarily using ChatGPT, until they met the requirements of the programming course. We assessed the quality of these exercises by using them in our course as external teaching assignment at the University of Education Ludwigsburg and let the students evaluate them. Results indicate the quality of the generated exercises and the time-saving for creating them using ChatGPT. However, our experience showed that while it is fast to generate a good version of an exercise, almost every exercise requires minor manual changes to improve its quality.</p>
"The sound comes from a meadow in the Sierra Nevada Mountains in California. The meadow is at an elevation of 2400 meters near a mountain named Olancha Peak, which is 3700 meters in altitude. Ihave a group of friends with which Ibackpack (trek) into the mountains. Our goal was to spend some time in the mountains and hike to the top of Olancha Peak (…) By the time we reached the meadow, we were in a forest and there was still snow on the ground in some places. We took the trip in June of 2006. The Sierra Nevada Mountains are a large mountain range. Much of the range is protected by national parks or preserved areas we call 'wilderness areas' (…) Ihave been backpacking for nearly 40 years and Iwill hopefully continue with this challenging activity for 40 years more! Many of my friends are much younger than Iam and it gives me much satisfaction to be able to have as much or more stamina for this activity than they have! When we are on these trips, we hike up peaks, catch fish, drink some whiskey around campfires and enjoy our time in the beautiful solitude. My memories of this trip were of the steep, hot hike from the desert to the cool meadow; the overall beauty of the nature, the absolute solitude of our campsite near the meadow; the strenuous hike to the top of Olancha Peak; the camaraderie of my friends; and, of course the sound of the frogs in the meadow. The frog sounds were astounding to me and Iwould listen in awe of the creature's instinctual desire to reproduce and continue the existence of their kind. Surely there were different species in the meadow for some of the frog sounds were different than others. The sounds only occurred after the Sun went down for the evening. Istood next to the creek in the meadow and recorded the sounds using my digital camera." [Peter/plentz1960]16 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"The sound comes from a meadow in the Sierra Nevada Mountains in California. The meadow is at an elevation of 2400 meters near a mountain named Olancha Peak, which is 3700 meters in altitude. Ihave a group of friends with which Ibackpack (trek) into the mountains. Our goal was to spend some time in the mountains and hike to the top of Olancha Peak (…) By the time we reached the meadow, we were in a forest and there was still snow on the ground in some places. We took the trip in June of 2006. The Sierra Nevada Mountains are a large mountain range. Much of the range is protected by national parks or preserved areas we call 'wilderness areas' (…) Ihave been backpacking for nearly 40 years and Iwill hopefully continue with this challenging activity for 40 years more! Many of my friends are much younger than Iam and it gives me much satisfaction to be able to have as much or more stamina for this activity than they have! When we are on these trips, we hike up peaks, catch fish, drink some whiskey around campfires and enjoy our time in the beautiful solitude. My memories of this trip were of the steep, hot hike from the desert to the cool meadow; the overall beauty of the nature, the absolute solitude of our campsite near the meadow; the strenuous hike to the top of Olancha Peak; the camaraderie of my friends; and, of course the sound of the frogs in the meadow. The frog sounds were astounding to me and Iwould listen in awe of the creature's instinctual desire to reproduce and continue the existence of their kind. Surely there were different species in the meadow for some of the frog sounds were different than others. The sounds only occurred after the Sun went down for the evening. Istood next to the creek in the meadow and recorded the sounds using my digital camera." [Peter/plentz1960]16
Post-operative Course of Dexamethasone to Reduce Tonsillectomy Morbidity
ClinicalTrials.gov study NCT04879823. IPD Sharing: NO. Countries: 1. Publications: 11.
An Open-label, Ascending, Repeated Dose-finding Study of Sarilumab in Children and Adolescents With Polyarticular-course Juvenile Idiopathic Arthritis (pcJIA)
ClinicalTrials.gov study NCT02776735. IPD Sharing: YES. Countries: 15. Publications: 0.
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.