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2,084 results for “course”
A Transdiagnostic Course for Common Mental Health Problems in Primary Care
ClinicalTrials.gov study NCT04522713. IPD Sharing: NO. Countries: 1. Publications: 1.
Data for Diniz et al. (2022) Changing the main course: strong bat visitation to the ornithophilous mistletoe Psittacanthus robustus (Loranthaceae) in a Neotropical savanna (Biotropica)
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Subjective well-being across the life course among non-industrialized populations
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Fluorescence images of ybx1 mutant neuromasts [time course, wt]
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Fluorescence images of ybx1 mutant neuromasts [time course, het]
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Time course of metabolic variations in human neutrophils with PMA treatment alone or in combination with DPI: Part 1
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Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course
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3D time-course iSIM dataset HeLa cells MitoTracker Red CMXRos
<p>2020-03-17</p> <p>Microscopy dataset:</p> <p>- Type: Fluorescence, 3D, time-course, iSIM Visitech, 100x Silicon NA 1.35 (65 nm x 65 nm x 300 nm xyz pixel sizes), 20s time interval</p> <p>- Cell type: HeLa, labelled with MitoTracker Red CMXRos</p> <p> </p> <p>Romain F. Laine, r.laine@ucl.ac.uk, MRC-LMCB, UCL, London, UK</p>
Dataset: Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia
<p>This repository contains the files needed to reproduce the results presented in the paper "Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia" (DOI: 10.1002/hbm.25108) </p> <p>In order to ensure the reproducibility of our study, the individual gray matter concentration/probability images as well as the thalamic nuclei parcellations, in native and MNI spaces, are freely available in this repository. The demographic information table including age, gender and intracranial volume for each subject is also available.</p>
Human tissue gene expression TPM values for the advanced forensic biology course
<p><strong>Gene expression per tissue</strong></p> <p>This dataset comes from the <a href="https://www.gtexportal.org/home/">Genotype-Tissue Expression (GTEx)</a> database that gathers gene expression data from various human tissues. Specifically, the <strong>GTEx Analysis v7</strong> version was used.</p> <p>The file is called "<a href="https://zenodo.org/api/files/9f872792-6c96-4226-b659-ce0807da66e8/GTEx_Analysis_2016-01-15_v7_RNASeQCv1.1.8_gene_median_tpm.tsv">GTEx_Analysis_2016-01-15_v7_RNASeQCv1.1.8_gene_tpm.tsv</a>" and contains tabulated-separated values of median TPM gene expression by tissue (TPM: transcript per million).</p> <p> </p> <p><strong>Genes with a favored sucutaneous-adipose expression profile</strong></p> <p>This file contains 195 genes that have a statistically (p < 0.01) favored expression profile in subcutaneous adipose tissue compared to other tissues. </p> <p>https://zenodo.org/api/files/7342bbfa-0e4d-49e7-b916-5eff5b638c33/genes_with_a_subcutaneous_adipose_favored_expression.tsv</p>
बोधगया, बिहार. West side of the temple in the course of excavation.
<p>Bodhgayā, Bihār. West side of the temple in the course of excavation, showing the outer Buddha above the so-called <em>vajrāsana</em>. British Museum 1897, 0528, 0.13. © ब्रिटिश म्यूजियम</p> <p><strong><a href="https://www.britishmuseum.org/terms-use/copyright-and-permissions/images-and-photography">ब्रिटिश म्यूजियम फोटोग्राफी सेवा</a></strong></p>
Data from: Eco-evolutionary feedbacks predict the time course of rapid life history evolution
Organisms can change their environment and, in so doing, change the selection they experience and how they evolve. Population density is one potential mediator of such interactions because high population densities can impact the ecosystem and reduce resource availability. At present, such interactions are best known from theory and laboratory experiments. Here we quantify the importance of such interactions in nature by transplanting guppies from a stream where they co-occur with predators into tributaries that previously lacked both guppies and predators. If guppies evolve solely because of the immediate reduction in mortality rate, the strength of selection and rate of evolution should be greatest at the outset then decline as the population adapts to its new environment. If indirect effects caused by the increase in guppy population density in the absence of predation prevail, then there should be a lag in guppy evolution because time is required for them to modify their environment. The duration of this lag is predicted to be associated with the environmental modification caused by guppies. We observed a lag in life history evolution associated with increases in population density and altered ecology. How guppies evolved matched predictions derived from evolutionary theory that incorporates such density effects.
Swilcan Bridge, St Andrews Links golf course
The Swilcan Bridge is a small stone bridge in St Andrews Links golf course, Scotland. The bridge spans the Swilcan Burn between the first and eighteenth fairways on the Old Course, and has become an important image in the sport of golf. The bridge itself is extremely small; at its farthest extent it measures about 30 feet long, eight feet wide and six feet tall, in the style of a simple Roman arch. Originally built at least 700 years ago to help shepherds get livestock across, it has the modern photographic advantage of great backdrops on three sides: the course's grand Royal and Ancient Clubhouse and Hamilton Grand on one, often a packed grandstand of enthusiasts on another, and rolling hills facing toward the North Sea, on the last. Source: Objaverse 1.0 / Sketchfab
DDJ MOOC courses
<p>Data Sets from EJC.</p>
Finding Open Educational Resources and Courses
<p>This is a flyer designed for the CLARIN Annual Conference 2023 to raise awareness about the platforms available within the CLARIN and DARIAH research infrastructures to create, host and disseminate <strong>open learning and training resources</strong>, such as the <a href="https://www.clarin.eu/content/learning-hub"><i>CLARIN Learning Hub</i></a><i>, </i><a href="https://campus.dariah.eu/"><i>DARIAH Campus</i></a><i>,</i><a href="https://teach.dariah.eu/"><i> #dariahTeach</i></a><i>, </i><a href="https://marketplace.sshopencloud.eu/"><i>SSH Open Marketplace</i></a><i>, </i><a href="https://dhcr.clarin-dariah.eu/info"><i>DH Course Registry</i></a> and the learning resources developed in the <a href="https://upskillsproject.eu/deliverables/io3/upskills_learning_materials/"><i>UPSKILLS project</i></a>.</p>
Modelling data for: Short-course combination treatment for experimental chronic Chagas disease
<p><span>Chagas disease, caused by the protozoan parasite <em>Trypanosoma</em> <em>cruzi</em>, affects millions of people in the Americas and across the world leading to considerable morbidity and mortality. Current treatment options, benznidazole (BNZ) and nifurtimox, offer limited efficacy and often lead to adverse side effects due to long treatment durations. Better treatment options are therefore urgently required. Here we describe a pyrrolopyrimidine series, identified through phenotypic screening, that offers a clear opportunity to improve on current treatments. In vitro cell-based washout assays demonstrate that compounds in the series are incapable of killing all parasites, however, combining these pyrrolopyrimidines with a sub-efficacious dose of BNZ can clear all parasites in vitro after five days. Importantly, these findings were replicated in a clinically predictive<em> in vivo</em> model of chronic Chagas disease, where five days of treatment with the combination was sufficient to prevent parasite relapse. Comprehensive mechanism of action studies, supported by ligand-structure modelling, show that compounds from this pyrrolopyrimidine series inhibit the Q</span><sub><span>i</span></sub><span> active site of <em>T. cruzi</em> cytochrome <em>b</em>, part of the cytochrome <em>bc1</em> complex of the electron transport chain. Knowledge of the molecular target enabled a cascade of assays to be assembled to evaluate selectivity over the human cytochrome <em>b</em> homologue. As a result, a highly selective and efficacious lead compound was identified. The combination of our lead compound with BNZ rapidly clears<em> T. cruzi</em> parasites, both <em>in vitro</em> and <em>in vivo</em>, and shows great potential to overcome key issues associated with currently available treatments. </span></p>
Climate data and geographic data from Madagascar for learning multi-criteria analysis in GIS courses
<p>Climate data and geographic data from Madagascar for learning multi-criteria analysis in GIS courses. </p> <ul> <li><strong>MultiCriteriaAnalysis_ENG_v2023_v4.pdf</strong> - summary of Multi-Criteria Analysis methods for suitability of mango tree fruitculture.</li> <li><strong>MultiCriteriaAnalysis_simple_ENG_v2023_v4.xlsx</strong> - sheets with support material fromPDF and videos in lecture channel</li> <li><strong>Country borders</strong>: https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-0-countries-2/</li> <li><strong>Rivers</strong>: https://www.naturalearthdata.com/downloads/10m-physical-vectors/</li> <li><strong>Roads</strong>: https://www.naturalearthdata.com/downloads/50m-cultural-vectors/ </li> <li><strong>Global land cover classes - GLOBCOVER</strong>: http://due.esrin.esa.int/page_globcover.php</li> <li><strong>Temperature and precipiatation </strong>- climate variables: clipped from WorldClim database rasters (see http://www.worldclim.org/) </li> <li><strong>Digital Elevation Model - DEM </strong>from EarthExplorer web portal (see https://www.cirgeo.unipd.it/didattica/GIS/01x_access_geodata.html#USGS:_EarthExplorer<br> </li> </ul>
Zebrafish embryos time-course, 5'UTR nup43
<p>This Zenodo file contains data for the 5′ UTR-nup43-sfGFP mRNA reporter. Data consists of raw microscopy images of embryos, as well as csv files with quantification of relative sfGFP expression data (normalized to a dextran dye control) and png files depicting ROIs used for quantification presented in Figure 2 of Reimão-Pinto et al., Dev Cell, 2024.</p> <p>Embryos were injected with 1 nL of an injection mix directly into the cell at the 1-cell stage with a microinjection needle (Sutter Instruments) and allowed to develop in standard conditions. For single-reporter injections, 40pg 5′ UTR-sfGFP test reporter were co-injected with 2 ng fluorescent red dextran dye (D1868, Invitrogen) as injection control per embryo. Embryos were collected at the desired developmental stage and placed on a custom-made agarose mold with squared indents for placing and aligning the embryos. For fluorescence intensity quantification, zebrafish embryo images were acquired using an upright ZEISS Axiozoom coupled to an Axiocam 503 color/mono digital camera (14-bit depth) in black & white color mode with fixed laser power (red laser power 85% and 300 ms exposure; green laser power 65% and 300 ms exposure), fixed zoom and fixed exposure time for red mRF12 (590/612) and green AF488 (493/517) channels. Two rounds of single-reporter injections (embryos from two different clutches) were performed for fluorescence intensity quantifications.</p> <p>Images were quantified using Fiji (Image J) using a macro for automated thresholding and channel fluorescence intensity measurement. For each image, the script automatically segments the image based on red channel intensity (control dextran dye) using FIJI’s auto thresholding tool (RenyiEntropy) and outputs csv files with mean fluorescence intensities of red and green channels for that region of interest (and a small invariant region for background correction). The mean fluorescence values outputted were then used for calculating normalized mean intensity ratios (sfGFP/dextran). A total of 25 embryos per injection round were quantified, for a total of 50 embryos per time-point, per reporter. This excel contains normalized fluorescence intensity values calculated. More embryos were quantified than the ones included in the analysis (due to unequal number of embryos imaged per experiment, we decided to consider a fixed number of 25 per reporter injection). Some embryos were not considered for normalized intensity calculations due to improper automatic segmentation (e.g. due to the presence of a background dirt spot that is recognized as "signal"), due to precipitation of the dextran dye in the embryo's chorion or due to improper embryo development resulting from injury from injection. All images acquired are available for inspection. The FIJI macro for automated segmentation and ROI intensity measurements are also provided in the Mendeley Repository associated to the study.</p>
Zebrafish embryos time-course, 5'UTRs hnrnpl and egfl6
<p>This Zenodo file contains data for the 5′ UTR-hnrnpl-sfGFP and 5′ UTR-egfl6-sfGFP mRNA reporters. Data consists of raw microscopy images of embryos, as well as csv files with quantification of relative sfGFP expression data (normalized to a dextran dye control) and png files depicting ROIs used for quantification presented in Figure 2 of Reimão-Pinto et al., Dev Cell, 2024.</p> <p>Embryos were injected with 1 nL of an injection mix directly into the cell at the 1-cell stage with a microinjection needle (Sutter Instruments) and allowed to develop in standard conditions. For single-reporter injections, 40pg 5′ UTR-sfGFP test reporter were co-injected with 2 ng fluorescent red dextran dye (D1868, Invitrogen) as injection control per embryo. Embryos were collected at the desired developmental stage and placed on a custom-made agarose mold with squared indents for placing and aligning the embryos. For fluorescence intensity quantification, zebrafish embryo images were acquired using an upright ZEISS Axiozoom coupled to an Axiocam 503 color/mono digital camera (14-bit depth) in black & white color mode with fixed laser power (red laser power 85% and 300 ms exposure; green laser power 65% and 300 ms exposure), fixed zoom and fixed exposure time for red mRF12 (590/612) and green AF488 (493/517) channels. Two rounds of single-reporter injections (embryos from two different clutches) were performed for fluorescence intensity quantifications.</p> <p>Images were quantified using Fiji (Image J) using a macro for automated thresholding and channel fluorescence intensity measurement. For each image, the script automatically segments the image based on red channel intensity (control dextran dye) using FIJI’s auto thresholding tool (RenyiEntropy) and outputs csv files with mean fluorescence intensities of red and green channels for that region of interest (and a small invariant region for background correction). The mean fluorescence values outputted were then used for calculating normalized mean intensity ratios (sfGFP/dextran). A total of 25 embryos per injection round were quantified, for a total of 50 embryos per time-point, per reporter. This excel contains normalized fluorescence intensity values calculated. More embryos were quantified than the ones included in the analysis (due to unequal number of embryos imaged per experiment, we decided to consider a fixed number of 25 per reporter injection). Some embryos were not considered for normalized intensity calculations due to improper automatic segmentation (e.g. due to the presence of a background dirt spot that is recognized as "signal"), due to precipitation of the dextran dye in the embryo's chorion or due to improper embryo development resulting from injury from injection. All images acquired are available for inspection. The FIJI macro for automated segmentation and ROI intensity measurements are also provided in the Mendeley Repository associated to the study.</p>
Zebrafish embryos time-course, M&Z 5'UTRs scarb2c
<p>This Zenodo file contains data for the maternal and zygotic 5′ UTR-scarb2c-sfGFP mRNA reporters. Data consists of raw microscopy images of embryos, as well as csv files with quantification of relative sfGFP expression data (normalized to a dextran dye control) and png files depicting ROIs used for quantification presented in Figure 7 of Reimão-Pinto et al., Dev Cell, 2024.</p> <p>Embryos were injected with 1 nL of an injection mix directly into the cell at the 1-cell stage with a microinjection needle (Sutter Instruments) and allowed to develop in standard conditions. For single-reporter injections, 40pg 5′ UTR-sfGFP test reporter were co-injected with 2 ng fluorescent red dextran dye (D1868, Invitrogen) as injection control per embryo. Embryos were collected at the desired developmental stage and placed on a custom-made agarose mold with squared indents for placing and aligning the embryos. For fluorescence intensity quantification, zebrafish embryo images were acquired using an upright ZEISS Axiozoom coupled to an Axiocam 503 color/mono digital camera (14-bit depth) in black & white color mode with fixed laser power (red laser power 85% and 300 ms exposure; green laser power 65% and 300 ms exposure), fixed zoom and fixed exposure time for red mRF12 (590/612) and green AF488 (493/517) channels. Two rounds of single-reporter injections (embryos from two different clutches) were performed for fluorescence intensity quantifications.</p> <p>Images were quantified using Fiji (Image J) using a macro for automated thresholding and channel fluorescence intensity measurement. For each image, the script automatically segments the image based on red channel intensity (control dextran dye) using FIJI’s auto thresholding tool (RenyiEntropy) and outputs csv files with mean fluorescence intensities of red and green channels for that region of interest (and a small invariant region for background correction). The mean fluorescence values outputted were then used for calculating normalized mean intensity ratios (sfGFP/dextran). A total of 25 embryos per injection round were quantified, for a total of 50 embryos per time-point, per reporter. This excel contains normalized fluorescence intensity values calculated. More embryos were quantified than the ones included in the analysis (due to unequal number of embryos imaged per experiment, we decided to consider a fixed number of 25 per reporter injection). Some embryos were not considered for normalized intensity calculations due to improper automatic segmentation (e.g. due to the presence of a background dirt spot that is recognized as "signal"), due to precipitation of the dextran dye in the embryo's chorion or due to improper embryo development resulting from injury from injection. All images acquired are available for inspection. The FIJI macro for automated segmentation and ROI intensity measurements are also provided in the Mendeley Repository associated to the study.</p>
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.