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80 results for “Research organizations”
The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn)
<p>The Fourth International Scientific – Practical Virtual Conference in "Green Energy: New Conceptual Vision and Multiplicative Effects" Organizers of the conference: MTÜ. The International Center for Research Education & Training. (Estonia Tallinn</p>
Strategic planning and organization of tourist destinations: a literature review and research agenda
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Research Data supporting "Cooperative Supramolecular Block Copolymerization for the Synthesis of Functional Axial Organic Heterostructures"
<p>Raw research data supporting the article A. Sarkar, T. Behera, R. Sasmal, R. Capelli, C. Empereur-mot, J. Mahato, S. S. Agasti, G. M. Pavan, A. Chowdhury, S. J. George "Cooperative Supramolecular Block Copolymerization for the Synthesis of Functional Axial Organic Heterostructures".</p>
EasyDIA a comprehensive and robust pipeline for DIA proteomics research and its application in multi-organ mouse proteomics atlas generation
<p>Supplementary data of the article " EasyDIA: a comprehensive and robust pipeline for DIA proteomics research, and its application in multi-organ mouse proteomics atlas generation". Mass spectrometry-based proteomics measurement has emerged as a routine tool for detecting protein constitution and expression level change in most organisms. But till now, long-term stability, reproducibility, throughput, identification depth, multi-center consistency, robustness cannot be satisfied simultaneously by traditional proteomics method. We introduced EasyDIA pipeline with widely used commercial products, state-of-art direct DIA-PASEF method and EasyDIA software platform for data quality evaluation and bioinformatics analysis. With EasyDIA pipeline, even entry level researchers can conduct a complete proteomics experiment in less than one day. We further generated a multi-organ mouse proteomics atlas dataset in less than four days. Up to 8000 protein groups can be quantified in a single organism with only 60 minutes LC gradient. This pipeline provides a promising solution for both small-scale proteomics experiment and large-cohort clinical research.</p>
Dataset for the research article "Direct evidence supporting Darwin's hypothesis of cross-pollination promoted by sex organ reciprocity"
<p>Data for experimental populations of Narcissus papyraceus exposed to two different pollination environments:</p> <p>SSR genotypes for parental individuals and seedlings</p> <p>Number of seeds produced by each combination of mating individuals, and spatial distance between individuals</p> <p>Data on floral traits and female and male fitness of parental individuals</p> <p>Data on floral traits measured at two flowers within each inflorescence, in a control group of 71 inflorescences.</p>
Epistemic communities in knowledge organization: an analysis of research trends in the Knowledge Organization journal
<p><span>Considering knowledge organization as a domain in a continuous process of theoretical-methodological consolidation, it becomes important to identify its epistemological configuration and “epistemic communities” in order to measure its impact on society and scholarship. As a reflection of the ISKO and knowledge organization activities, the Knowledge Organization (KO) journal was analysed for the period 1994-2014 in order to identify and characterise the core of researchers that the knowledge organization community consider as central and more impactful. In addition, we analysed the impact of this literature on the LIS scientific domain as a whole, by means of the presence of such literature also in scholarly journals other than KO. The results reveal that the consolidation process of the KO domain and the epistemic communities’ progress occur in a dynamic and well-balanced way with a strong and widespread impact on the LIS scientific context as a whole. The dynamic and evolving nature of these groups, with citations growing in number and new authors slowly emerging for each period, makes it possible to conclude that the ISKO epistemic communities and their impact are not only changing but also expanding.</span></p>
Supplementary material 1 from: Lahey Z, Chen H, Dowton M, Austin AD, Johnson NF (2023) The genome of the egg parasitoid Trissolcus basalis (Wollaston) (Hymenoptera, Scelionidae), a model organism and biocontrol agent of stink bugs. Journal of Hymenoptera Research 95: 31-44. https://doi.org/10.3897/jhr.95.97654
Genome of the egg parasitoid Trissolcus basalis (Wollaston) (Hymenoptera, Scelionidae), a model organism and biocontrol agent of stink bugs
Research and Evaluation of Antipsychotic Treatment in Community Behavioral Health Organizations
ClinicalTrials.gov study NCT01181960. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of an Evidence Service on Community-based AIDS Service Organizations' Use of Research Evidence
ClinicalTrials.gov study NCT01257724. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The 3D Reconstruction Research of Pelvic Organ Prolapse Disease
ClinicalTrials.gov study NCT03146195. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Organic functional group and organic matter concentrations from FT-IR measurements of particulate matter samples in the Southeastern Aerosol Research and Characterization (SEARCH) network from 2009-2016
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Figure 3 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 3 Three types of alpha waves. The arrows indicate the beginning and the end of high activity in a column. The horizontal lines represent the duration of activity at the high level. The small blue bars indicate that the initial part of the downward slope often has a decisive start. The yellow and purple bars indicate that the upward slope is less steep than the downward slope. The vertical lines illustrate how the wavelength was measured. The EEGs are from participants 59, 51, and 149 in a previous study (Johannisson 2016).
Figure 9 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 9 Overview for number and duration. The values in the center of the figure are thought to be optimal and associated with good health. Slightly suboptimal values may lead to anxiety and depression. Values clearly outside the optimal ranges are expected to cause mental disorders. Optimal values for children are not the same as those for adults. During epileptic seizures, number and duration are changed in a special way.
Figure 6 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 6 Variation in wavelength at 10.0 Hz. The blue and green symbols indicate elements that are repeated at an interval of five waves. The pattern was not clear when there was almost no variation in wavelength, as in the middle of the sequence. Fortunately for the analysis, this period with almost no variation was not long-lasting. The letter H refers to disturbances from the heart. The EEG is from a 29-year-old male.
Figure 2 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 2 Number of highly active columns and EEG frequency. The histogram shows the distribution of the frequency for 213 individuals. The data are from a pilot study described in another paper (Johannisson 2016). In the lower part of the figure, the data have been slightly smoothed and presented as a curved line. This makes it easier to see that there are different frequency groups. The smallest possible number of highly active columns should be found when the limits are set to 0 and 1. This may correspond to the first peak on the left. The other peaks can then be linked to higher limits in consecutive order.
Figure 5 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 5 Variation in wavelength at 9.5 Hz. The red and blue symbols indicate a biphasic pattern where the elements are repeated at an interval of five waves. The EEG is from a 26-year-old female.
Figure 10 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 10 Variation in wavelength at 5.6 Hz. The green and yellow symbols indicate a pattern where the elements are repeated at an interval of four waves. The data are from a 25-year-old male.
Figure 1 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 1 The two levels hypothesis. The colorful horizontal lines represent the duration of high activity in individual columns. The vertical lines show the time relation to the alpha waves. The distance between two neighboring lines is the wavelength, and the green symbols indicate that some waves are a little bit shorter than other waves.
Supplementary material 1 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Data S1. EEGs for Figs. 4–7 and 10.
Figure 4 from: Johannisson T (2020) Variation in length of alpha waves reveals how forebrain activity is organized. Research Ideas and Outcomes 6: e49942. https://doi.org/10.3897/rio.6.e49942
Figure 4 Variation in wavelength at 8.3 Hz. The green and blue symbols indicate that there is a monophasic pattern and that the interval for the repeated elements is four waves. The x-axis in the upper diagram has the same timescale as the EEG. For statistical analysis, the x-axis in the lower diagram is a category axis. The colorful horizontal lines illustrate the hypothesis that was tested. The data are from a 22-year-old female.
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.