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ShareScore release 0.9.0
Dataset results
39 results for “performance profile”
Supporting dataset for: "Plasma essential amino acid concentration and profile are associated with performance of lactating dairy cows as revealed through meta-analysis and hierarchical clustering"
<p>This dataset was used in the meta-analysis and hierarchical clustering published in "Plasma essential amino acid concentration and profile are associated with performance of lactating dairy cows as revealed through meta-analysis and hierarchical clustering" in the Journal of Dairy Science. We searched Web of Science and Google Scholar databases through March 2020 with the terms “plasma EAA,” “milk urea” or “blood urea,” and “dairy” or lactating dairy”. To be included in our study, the papers must have met the following selection criteria: (1) been published in English in a peer-reviewed journal; (2) reported dietary ingredients on a DM basis and at minimum dietary CP concentration; (3) used treatments based on diet changes (e.g., no infusion trials were included); (4) reported DMI, lactation performance, and milk components yield; (5) reported all individual [EAA]p (excluding Trp); and (6) reported blood urea-N or plasma urea-N. Infusion studies were excluded to avoid possible effects of method of EAA supply (e.g., infusion vs. feeding) and to narrow the scope of application. The final dataset included 22 studies and 96 dietary treatments. For a more complete description of the methods, please refer to the published paper. </p>
Bibliometric data for sports performance profiling
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Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation
<p>This excel file (DOI: <a href="https://doi.org/10.5281/zenodo.3755675">https://doi.org/10.5281/zenodo.3755675</a>) provides the collection of raw data used for developing the first integrative Quantitative Structure-Activity Relationship (QSAR) model using EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase i) to predict acute contact toxicity (LD<sub>50</sub>) and ii) to profile the Mode of Action (MoA) of pesticides active substances in honey bees (<em>Apis mellifera</em>)<em>. </em>Chemical identifiers (e.g. SMILES, CAS n., InChI) and acute contact toxicity data (LD<sub>50</sub>) on honey bees were used to develop and validate i) a two-category QSAR model (toxic/non-toxic; n=411) (sensitivity =0.93), specificity =0.85), balanced accuracy =0.90), Matthews correlation coefficient MCC=0.78), and ii) a regression-based model (n=113) (R2=0.74; MAE=0.52). Similarly, current study proposes the first MoA profiling for 113 pesticides active substances and the first harmonised MoA classification scheme for acute contact toxicity in honey bees, including LD<sub>50s</sub> data points from three different databases such as EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase. Such classification allows to further define MoAs and the target site of Plant Protection Products (PPPs) active substances, thus enabling regulators and scientists to refine chemical grouping and toxicity extrapolations for single chemicals and component-based mixture risk assessment of multiple chemicals.</p> <p>The full data collection and analysis of QSAR models, toxicity data (LD<sub>50</sub>) and Mode of Action (Moa) data are described in Carnesecchi et al., 2020 (DOI: doi.org/10.1016/j.scitotenv.2020.139243).</p> <p>This work was supported by the European Food Safety Authority (EFSA) [contract number: OC/EFSA/SCER/2018/01 and NP/EFSA/AFSCO/2016/02 (Edoardo Carnesecchi)].</p>
Data from: Molecular profiling of diatom assemblages in tropical lake sediments using taxon-specific PCR and Denaturing High-Performance Liquid Chromatography (PCR-DHPLC)
Here we present a protocol to genetically detect diatoms in sediments of the Kenyan tropical Lake Naivasha, based on taxon-specific PCR amplification of short fragments (approx. 100 bp) of the small subunit ribosomal (SSU) gene and subsequent separation of species-specific PCR products by PCR-based DHPLC. An evaluation of amplicons differing in primer specificity to diatoms and length of the fragments amplified demonstrated that the number of different diatom sequence types detected after cloning of the PCR products critically depended on the specificity of the primers to diatoms and the length of the amplified fragments whereby shorter fragments yielded more species of diatoms. The DHPLC was able to discriminate between very short amplicons based on the sequence difference, even if the fragments were of identical length. and if the amplicons differed only in a small number of nucleotides. Generally the method identified the dominant sequence types from mixed amplifications. A comparison with microscopic analysis of the sediment samples revealed that the sequence types identified in the molecular assessment corresponded well with the most dominant species. In summary, the PCR-based DHPLC protocol offers a fast, reliable, and cost-efficient possibility to study DNA from sediments and other environmental samples with unknown organismic content, even for very short DNA fragments.
Dataset used to support the performances of six reanalysis profile products
<p>This is a dataset used to support the article "<strong>Performances of six reanalysis profile products in </strong><strong>the </strong><strong>atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions</strong>"</p>
Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench
<p>The dataset is the experimental results of the paper "Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench". The results include Cloudprofiler and all target performance frameworks of MooBench in the current main branch. The experimental environment is an on-premise, bare metal server with two Intel Xeon E5-2650 CPUs and 64 GiB RAM on each NUMA domain. It runs the Debian 12.6 Linux on a single 480 GB SSD. The JVM-based performance benchmarks ran with OpenJDK 17.0.2, and Cloudprofiler's C++ library was built with GCC 12.2.0. The Kieker Python framework ran with Python 3.11.2.</p> <p>MooBenchs target frameworks and benchmark scripts are maintained separately under "<code>frameworks/<target benchmkark></code>" (the <target_benchmark> label is the placeholder for each performance frameworks), and the MooBench execution results are stored under "<code>frameworks/<target benchmkark>/results-<target_benchmark></code>". This dataset is a single compressed archive, which contains all MooBench execution results from each target_benchmark:</p> <p><code>results-Cloudprofiler-java/raw-${LOOP_NUM}-${REC_DEPTH}-${CONF_NUM}.csv</code><br><code>results-inspectIT-java/raw-*.csv</code><br><code>results-Kieker-java/raw-*.csv</code><br><code>results-Kieker-python/raw-*.csv</code><br><code>results-OpenTelemetry-java/raw-*.csv</code></p> <p>The experimental data is separated as files by the current configuration number <code>${CONF_NUM}</code>, the current loop number <code>${LOOP_NUM}</code>, and the current recursion depth <code>${REC_DEPTH}</code>.</p> <p>The overall results are depicted as boxplots in the results.pdf file. The Y-axis is the execution time in microseconds, and the configurations on the X-axis are ordered by <code>${CONF_NUM}</code> for each target framework.</p> <p>Cloudprofiler is hosted at <a href="https://github.com/shinhyungyang/cloud_profiler">https://github.com/shinhyungyang/cloud_profiler</a>, and MooBench is hosted at <a href="https://github.com/kieker-monitoring/moobench">https://github.com/kieker-monitoring/moobench</a>.</p>
Power-speed-endurance Profile (Cycling/Rowing) : Optimize Performance of the French Athletes at the Paris Olympics 2024
ClinicalTrials.gov study NCT05314543. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of tDCS on Sport Performance for Two Categories of Athletes : Explosive Profile and Enduring Profile
ClinicalTrials.gov study NCT03937115. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Multi-level Molecular Profiling of Peak Performance in Endurance Sports
ClinicalTrials.gov study NCT05359744. IPD Sharing: NO. Countries: 1. Publications: 7.
Does the Thrombin Generation Test Performed During the Pharmacokinetic Profile of the Substitutive Factor VIII Bring Benefits to the Personalized Treatment of Pediatric Patients and Adult Hemophilia A
ClinicalTrials.gov study NCT02803502. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Relationship of Anthropometric Profile and Fitness Indicators With Sports Performance of Elite Mexican National Team Soccer Players
ClinicalTrials.gov study NCT06941064. IPD Sharing: NO. Countries: 1. Publications: 6.
Data from: Molecular profiling of diatom assemblages in tropical lake sediments using taxon-specific PCR and Denaturing High-Performance Liquid Chromatography (PCR-DHPLC)
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lesson performance profiling
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Data from: Evolutionary patterns of adaptive acrobatics and physical performance predict expression profiles of androgen receptor – but not oestrogen receptor – in the forelimb musculature
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Comparison of CosMx and GeoMx profiling performed on the same human kidney tissues [CosMx]
GEO Series GSE278766. Homo sapiens. 1 samples. Type: Other.
Comparative Transcriptome Profiling of mRNA and lncRNA of Ovaries in High and Low Egg Production Performance in Domestic Pigeons (Columba livia)
GEO Series GSE162867. Columba livia. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic profile of primary culture of skeletal muscle cells isolated from semitendinosus muscle of bulls of different performance
GEO Series GSE151274. Bos taurus. 8 samples. Type: Expression profiling by array.
Transcriptomic profile of semitendinosus muscle of bulls of different breed and performance (Hereford vs Holstein-Friesian)
GEO Series GSE137565. Bos taurus. 4 samples. Type: Expression profiling by array.
We performed gene expression profiles of human bronchoalveolar epithelial cells (HBEC) transduced with GFP labeled murine focal adhesion kinase (PMX-Purom-GFP-mFAK) or GFP control empty vector counter
GEO Series GSE72470. Homo sapiens. 4 samples. Type: Expression profiling by array.
Transcriptomic profiling performed in bladder carcinomas collected from Neodurvarib clinical trial (NCT03534492)
GEO Series GSE225066. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing.
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.