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8,020
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Dataset results
8,020 results for “pilot”
Effects of 3D ultrasonography and 3D printed images on maternal-fetal attachment and its correlation with overall smoking within pregnancy: A pilot study.
Open the record for dataset details and reuse information.
Dataset produced on the GIFAS pilot site as part of the GAIN project
<p>This includes environmental and hydroacoustic datasets collected at the GIFAS salmon farm in Norway. Included are environmental data from within the cage (temperature, salinity, and dissolved oxygen) as well as hydroacoustic datasets of fish distribution data collected from the farm. Complete details of the datasets are provided in the paper "<a href="https://www.frontiersin.org/articles/10.3389/fanim.2021.695054/full">Data Driven Insight Into Fish Behaviour and Their Use for Precision Aquaculture</a>". Included are tools to analyse the data in Julia programming language. More details on the code and analysis is included in our talk at <a href="https://live.juliacon.org/speaker/98LQ9B">JuliaCon 2021</a></p>
Does Sex Matter in Liver Surgery? Comparison of Severity Assessments between Female and Male Rats after Partial Hepatectomy - A Pilot Study
<p>Raw data.</p>
Supplementary material 3 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S3
Supplementary material 1 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S1
Supplementary material 2 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S2
Supplementary material 4 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S4
Supplementary material 5 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Supplementary methods
REFLOW - Milan Foody Zero Waste Pilot Data
<p>Data collected by the Milan Pilot within the Reflow-EU-project context.</p>
Chaotic Dynamics in a Two-Droplet Pilot Wave System: A Numerical Simulation
<p>Data set and results for our university modeling project.</p>
Data from: Integrated wildlife monitoring, a pilot trial in Spain
<p>This study aims to report the implementation of the first nationwide pilot trial of balanced IWM in Europe, using a network of 11 pilot monitoring sites in Spain. The insights obtained in this pilot IWM trial will help to further develop a comprehensive IWM and serve as a reference for implementing IWM systems in other regions. For this purpose, a grid of 20 camera traps (Browning Strike Force HD ProX, Browning Arms Company®, Morgan, Utah, USA) was deployed for two months at each study site (n=11). REM was applied to wild boar (<em>Sus scrofa</em>), red deer (<em>Cervus elaphus</em>), and red fox (<em>Vulpes vulpes</em>) as the most frequently detected species. Relative abundance indexes, namely trapping rate and relative occupancy index, were calculated for the remaining, less frequently detected species.</p> <p>Files include the data necessary for the estimation of the population density by REM (DataREMZenodo.xlsx), data on indirect interactions recorded by camera traps at the pilot monitoring site level (DataIntZenodo.xlsx), and the metadata of the images (Metadata_imagesbyPP.xlsx).</p> <p> </p>
Can functional genomic diversity provide novel insights into mechanisms of community assembly? A pilot-study from an invaded alpine streambed
<p>An important focus of community ecology, including invasion biology, is to investigate functional trait diversity patterns to disentangle the effects of environmental and biotic interactions. However, a notable limitation is that studies usually rely on a small and easy to measure set of functional traits, which might not immediately reflect ongoing ecological responses to changing abiotic or biotic conditions, including those that occur at a molecular or physiological level. We explored the potential of using the diversity of expressed genes—functional genomic diversity (FGD)—to understand ecological dynamics of a recent and ongoing alpine invasion. We quantified FGD based on transcriptome data measured for 26 plant species occurring along adjacent invaded and pristine streambeds. We used an RNA-seq approach to summarize the overall number of expressed transcripts and their annotations to functional categories, and contrasted this with functional trait diversity (FTD) measured from a suite of characters that have been traditionally considered in plant ecology. We found greater FGD and FTD in the invaded community, independent of differences in species richness. However, the magnitude of functional dispersion was greater from the perspective of FGD than from FTD. Comparing FGD between congeneric alien-native species pairs, we did not find many significant differences in the proportion of genes whose annotations matched functional categories. Still, native species with a greater relative abundance in the invaded community compared with the pristine tended to express a greater fraction of genes at significant levels in the invaded community, suggesting that changes in FGD may relate to shifts in community composition. Comparisons of diversity patterns from the community- to the species-level offer complementary insights into processes and mechanisms driving invasion dynamics. FGD has the potential to illuminate cryptic changes in ecological diversity, and we foresee promising avenues for future extensions across taxonomic levels and macro-ecosystems. </p>
Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach
<p>Dataset for the accepted publication: "Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach"</p> <p> </p>
Searching for the relationship between the presence, extent, location and 12-month dynamics of cardiac fibrosis and the genetic profile in patients with dilated cardiomyopathy - a pilot study
Open the record for dataset details and reuse information.
STRICTA Check list for Effects of Electroacupuncture on Cognitive Symptoms in Major Depressive Disorder: A Pilot Study and Randomized Controlled Trial
<p>STRICTA 2010 check list</p>
Figure 6 in Pilot study: investigating the role of biofouling in transmission of Ostreid herpesvirus 1 (OsHV-1)
Figure 6. Survival curves for Pacific oysters following cohabitation experiments with Pacific oysters and biofouling assemblages. (A) Donors injected with OsHV-1 inoculum; (B) Recipients 1 that cohabited with Donors from 1-day post-injection; (C) Recipients 2 that cohabited with Recipients 1 after removal of the Donors. Abbreviations: PO – Pacific oysters; BA – Biofouling assemblages. The letters in bold in the legend highlight the Pacific oysters for which the survival is plotted.
FIGURE 5 in The Belgrade PaleoBlitz: A pilot project to engage amateur paleontologists
FIGURE 5. Self-perceived confidence in specific aspects of the museum curation process after participation in the PaleoBlitz.
WP2 T2.4 MEDIA T08 Live pilot 3 VG&G, music stage
<p>cam1.mpegts</p> <p>TV show: late night talks show "Van Gils and Guests"</p> <p>cameraposition 1: music stage</p> <p>codec: h.264, mpeg4<br> dims: 3840x2160<br> framerate:25</p> <p> </p>
data - Acute, subacute and chronic low back pain in German commercial airline pilots - regression analysis of a cross sectional questionnaire study
<p>collected data</p>
ENERIT module outcomes for the 3 pilot sites on which the module has been deployed during the HIT2GAP project
<p>This dataset consists of data generated by the ENERIT module (Energy Management module) during its running on three pilot sites of the HIT2GAP project (Challenger (France), Nanogune (Spain), Wilanow (Poland)). </p> <p>Each dataset consists of 3 subsets:</p> <ol> <li>Monthly Energy Consumption Data collected from Jan 2016 to August 2019 (42 Months)</li> <li>Yearly Significant Energy Uses identified at the sites</li> <li>Yearly Improvement Opportunities identified for each site</li> </ol> <p>Metadata Description:</p> <p>1. Monthly Energy Consumption:</p> <p>Type (<em>Fuel type</em>)</p> <p>Location <em>(Building reference)</em></p> <p>Meter (<em>Meter title)</em></p> <p>From (<em>Start date for reading)</em></p> <p>To (<em>End date for reading)</em></p> <p>Cost<em> (€)</em></p> <p>Energy<em> (kWh)</em></p> <p>Primary energy <em>(kWh)</em></p> <p>CO2 (<em>kgCO2</em>)</p> <p> </p> <p>2. Yearly Significant Energy Uses</p> <p>Name</p> <p>Location (<em>Building reference)</em></p> <p>Year</p> <p>Significant Energy Use <em>(is this Energy Use considered Significant)</em></p> <p>Energy Flow Entry <em>(Should it appear in the Energy Flow diagram)</em></p> <p>Details</p> <p>Objectives<em> (Description of what is planned to save energy for this Energy Use)</em></p> <p>Target <em>(Target saving - text)</em></p> <p>Elec Target<em> (Target – numeric)</em></p> <p>Therm Target<em> (Target – numeric)</em></p> <p>Annual Elect Energy</p> <p>Annual Elec Cost</p> <p>Annual Elec CO2</p> <p>Annual Therm Energy</p> <p>Annual Therm Cost</p> <p>Annual Therm CO2</p> <p>Water Quantity</p> <p>Water Cost</p> <p>Linked Elect Meters (<em>Meter descriptions that data is automatically populated from)</em></p> <p>Linked Therm Meters (<em>Meter descriptions that data is automatically populated from)</em></p> <p> </p> <p>3. Yearly Improvement Opportunities</p> <p>Reference: Identifier</p> <p>Title:</p> <p>Location (<em>Building reference)</em></p> <p>Year</p> <p>Type <em>(</em><em>Type of improvement Opportunity)</em></p> <p>Category</p> <p>Sub-Category</p> <p>Significant Energy Use <em>(Energy use that this Improvement Opportunity was assigned against)</em></p> <p>Details </p> <p>Requestor (<em>user who raised the IO)</em></p> <p>Energy Manager<em> (Site Energy Manager)</em></p> <p>Est. Elec. Energy<em> (kWh</em>)</p> <p>Est. Elec. Cost <em>(€)</em></p> <p>Est. Elec. CO2 (kgCO2)</p> <p>Est. Therm. Energy<em> (kWh)</em></p> <p>Est. Therm. Cost <em>(€)</em></p> <p>Est. Therm. CO2 <em>(kgCO2)</em></p> <p>Actual Elec. Energy</p> <p>Actual Elec. Cost</p> <p>Actual Elec. CO2</p> <p>Actual Therm. Energy</p> <p>Actual Therm. Cost</p> <p>Actual Therm. CO2</p> <p>Comments</p> <p>Co-Benefit Details</p> <p>Capital Cost<em> (€)</em></p> <p>Estimated Payback<em> (Years)</em></p> <p>Payback <em>(Years)</em></p> <p>Unit (Energy)</p> <p>Unit (Currency)</p> <p>Unit (CO2)</p> <p>Status</p> <p>Complexity</p> <p>EHS</p> <p>Energy Use</p> <p>Maintenance</p> <p>Verification Method</p> <p>Notes for Assignee</p> <p>Currently With (Person currently responsible for IO)</p> <p> </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.