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3,684 results for “extract”
IFC Building Models for Automated Extraction of Data from Balconies
<p>This is a set of example Industry Foundation Classes (IFC) building models to extract domain specific construction information. More speficially, to extract locations of potential placement sites for thermal bridges between balconies and their neighbouring floors.</p>
Extracted data from primary literature examining impacts of recreational activities on freshwater ecosystems
<p>Aquatic ecosystems are attractive sites for recreation. However, human presence at or on aquatic ecosystems can have a range of ecological impacts, creating trade-offs between recreation as ecosystem service and biodiversity conservation. There is currently no synthesis of evidence regarding the ecological impacts associated with various forms of aquatic recreation, to compare the magnitude of effects between types of recreation. Therefore, conservation conflicts surrounding water-based recreation are difficult to manage. We conducted a global meta-analysis, differentiating various recreational impacts and the type of recreational uses in four categories: shore use, shoreline angling, swimming and boating; and studied ecological impacts directed at three levels of biological organization: individuals, populations, and communities. We screened over 13,000 articles and identified 94 suitable studies providing 701 effect sizes for inclusion in the meta-analysis. Aggregated across all animal and plant taxa, impacts of boating and shore use resulted in highly significant effects on almost all levels of biological organization. Regarding taxonomic groups, the most negative effects of water-based recreation were observed in invertebrates, whereas effects on birds were most pronounced at individual levels and not significant at community levels. From a conservation perspective, fostering water-based recreation and the ecological services they provide must be balanced with ecological impacts associated with the activities. Although generalizations are challenging, local scale effects of activity-specific constraints seem unlikely to be effective if other forms of water-based recreation continue.</p>
mass spectrometry metabolomic analysis of Drosophila head extracts: 3 genotypes (control, RNAi Opa1 in muscle, RNAi Marf in muscle), 2 ages (30 days, 65 days)
<p>RNAi of the Drosophila mitochondrial fusion genes Opa1 and Marf (Mitofusin 2) in the muscle results in an extended lifespan. In order to detect metabolic changes in lipid in the neural tissue, we analysed the metabolome of fly heads by mass spectroscopy, comparing the two knock-down genotypes to a wild type control at two ages: 30 days (young flies) and 65 days (old flies).</p>
NMR metabolomic analysis of Drosophila extracts: 3 genotypes (control, RNAi Opa1 in muscle, RNAi Marf in muscle), 3 body regions (head, thorax, abdomen), 2 ages (30 days, 65 days)
<p>RNAi of the Drosophila mitochondrial fusion genes Opa1 and Marf (Mitofusin 2) in the muscle results in an extended lifespan. In order to unravel the metabolic changes in the long-living flies we analysed the metabolome by NMR spectroscopy, comparing the two knock-down genotypes to a wild type control at two ages: 30 days (young flies) and 65 days (old flies). In order to detect autonomous and non-autonomous changes, we also divided the samples in three anatomical regions: head (mostly neural tissue) thorax (mostly muscle), and abdomen (visceral, reproductive, metabolic control)</p>
Rat tooth extraction and 3% binahong (Anredera cordifolia (Ten.) STEENIS) leaf extract gel
<p>The following photos are related to the research entitled "The effects of 3% binahong (Anredera cordifolia) leaf extract gel on the alveolar bone healing in post-extraction tooth socket wound in Wistar rats (Rattus norvegicus)"</p>
Data extracted from APSIM simulations for Sorghum
<p>The data are supplemental material for paper entitled APSIM-powered framework for effective post-rainy sorghum agri-system design in India.</p> <p>The APSIM sorghum model was run using environmental data spanning 30 years with a total of 13,824 Genotype × Management combinations per grid. To cover the Indian rabi sorghum production tract 311 grid items were used resulting in a total of 4299264 simulations. The computation took approximately 14 days including several downtime periods and generated 14.6 TB of output data. APSIM natively generates the data in raw text format, therefore for follow-up processing it was necessary to conduct extraction and parsing of relevant pieces of information. For the purposes of extraction and transformation into .csv file format a program was written in C# language to select only the relevant data.</p>
Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset
<p>Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset.</p>
Example ND2 file for testing issues with bioformats metadata extraction
<p>This upload is to assist diagnosis of timestamp issues in new version of Nikon Elements ND2 file formats </p>
MWCC: A Corpus of Malawi Criminal Cases - Extract
<p>This is an extract of a corpus of Malawi Criminal Cases annotated with legal citations.</p>
Open-Source Software Product Line Extraction Processes: the ArgoUML-SPL and Phaser Cases
<p>Collection of datasets and analysis scripts supporting the information provided in the text.</p> <p>There are two compressed files, one for the ArgoUML data and one for the Phaser data. Each compressed file contains a README describing important information.</p>
Normalized NMR integration values from the metabolomic analysis of Drosophila larvae extracts from 2 genotypes at 3 time points.
<p>We measured the metabolites related to energy production using 1H nuclear magnetic resonance spectroscopy (NMR). No alterations in the levels of carbohydrate stores or free amino acids were found between control and Sema1ai animals, corroborating the notion that the main metabolic changes are in the lipid metabolism. The exception is the glycolytic amino acid alanine (elevated in Sema1ai animals), confirming alterations in glycolysis. The levels of the ß-alanine amino acid are markedly reduced in 256 h AEL or 10.5-day-old Sema1ai animals, probably indicating muscle degeneration in the severely obese larvae that is consistent with the deteriorated state and reduced movement of the 10-day-old (256 hours) mutant larvae. Gluconeogenesis is stimulated by high lactate, and the concentration of lactate is higher in Sema1ai larvae than controls, though the difference is not statistically significant. Glycolysis is stimulated by glucose and inhibited by citrate, an early intermediate of the citric acid cycle. The increased citrate levels in the 10.5-day-old Sema1ai larvae suggest that glycolysis is lower at this age, consistent with the increased level of glucose in the severely obese larvae. The fact that both gluconeogenesis and glycolysis pathways are simultaneously enhanced in Sema1ai larvae support the hypothesis that the animals defecting in adiposity signaling are in a state of perceived energy insufficiency despite having sufficient energy stored.</p>
Dataset for "Constraining the response factors of an extractive electrospray ionization mass spectrometer for near-molecular aerosol speciation"
<p>Online characterization of aerosol composition at the near-molecular level is key to understanding chemical reaction mechanisms, kinetics, and sources under various atmospheric conditions. The recently developed extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) is capable of detecting a wide range of organic oxidation products in the particle phase in real time with minimal fragmentation. Quantification can sometimes be hindered by a lack of available commercial standards for aerosol constituents, however. Good correlations between the EESI-TOF and other aerosol speciation techniques have been reported, though no attempts have yet been made to parameterize the EESI-TOF response factor for different chemical species. Here, we report the first parameterization of the EESI-TOF response factor for secondary organic aerosol (SOA) at the near-molecular level based on their elemental composition. SOA was formed by ozonolysis of monoterpenes or OH-oxidation of aromatics inside an oxidation flow reactor (OFR) using ammonium nitrate as seed particles. A Vocus proton-transfer reaction mass spectrometer (Vocus-PTR) and a high-resolution aerosol mass spectrometer (AMS) were used to determine the gas phase molecular composition and the particle phase bulk chemical composition, respectively. The EESI response factors towards bulk SOA coating and the inorganic seed particle core were constrained by intercomparison with the AMS. The highest bulk EESI response factor was observed for SOA produced from 1,3,5-trimethylbenzene, followed by those produced from <em>d</em>-limonene and <em>o</em>-cresol, consistent with previous findings. The near-molecular EESI response factors were derived from intercomparisons with Vocus-PTR measurements, and were found to vary from 10<sup>3</sup> to 10<sup>6</sup> ions s<sup>-1</sup> ppb<sup>-1</sup>, mostly within ±1 order of magnitude of their geometric mean of 10<sup>4.6</sup> ions s<sup>-1</sup> ppb<sup>-1</sup>. For aromatic SOA components, the EESI response factors correlated with molecular weight and oxygen content, and inversely correlated with volatility. The near-molecular response factors mostly agreed within a factor of 20 for isomers observed across the aromatics and biogenic systems. Parameterization of the near-molecular response factors based on the measured elemental formulae could reproduce the empirically determined response factor for a single VOC system to within a factor of 5 for the configuration of our mass spectrometers. The results demonstrate that standard-free quantification using EESI-TOF is possible. </p>
Peakhood: individual site context extraction for CLIP-seq peak regions
<p>Peakhood Supplementary Data Archive, see content.txt for file content descriptions.</p>
Assessment of animal diseases caused by bacteria resistant to antimicrobials: Horses - Appendix B: Excel file with all data extracted
<p>Information on all the full-text studies that were assessed, including the reason for exclusion for those that were excluded at the full-text screening and the data extracted from the included studies, can be consulted here. </p> <p>The extensive literature review was carried out by the University of Copenhagen under the contract OC/EFSA/ALPHA/2020/02 – LOT 1 (https://ted.europa.eu/udl?uri=TED:NOTICE:457654-2020:TEXT:EN:HTML)</p>
Programming language keyword frequencies extracted from 16,000,000 public GitHub repositories (October 2016)
<p>Origin</p> <p>16,000,000 repositories on GitHub as of October 2016, classified with github/linguist and parsed with Pygments. Token.Keyword tokens were filtered and MapReduce-d. Fuzzy duplicate repositories were discarded.</p> <p>Some languages, e.g. Haskell, are parsed wrong, resulting in <strong>many</strong> keywords. Still they were not removed since we are not familiar with such languages.</p> <p>Format</p> <p>Triples [language name]\t[keyword]\t[frequency]</p> <p>Tabs and new lines in keywords are escaped as \t and \n respectively.</p>
FlyTracker Video Analysis and Data Extraction
<p>Protocol video showing how to use the MATLAB package "FlyTracker" to analyze locomotor behavior in a video and extract the data in a format compatible with any worksheet software.</p> <p>Full uncompressed video made with FinalCut Pro (higher quality than version available at STAR Protocols)</p> <p>MATLAB package: <a href="https://github.com/kristinbranson/FlyTracker/archive/refs/heads/main.zip">FlyTracker</a></p> <p>MATLAB Script: <a href="https://github.com/LaurentSeroude/FlyTrackerExtraction">FlyTracker Extraction</a></p> <p>Peer-reviewed publications:</p> <p>Genome 64,139,2021 <a href="https://github.com/LaurentSeroude/FlyTrackerExtraction/blob/main/Genome%2064%2C139%2C2021.pdf">PDF</a></p> <p><a href="https://star-protocols.cell.com/protocols/2193">STAR Protocols 3,101888,2022</a></p> <p>Peer-reviewed protocol: STAR Protocols in press</p>
Data Extraction Sheet for the Review
<p>Approximately 30 variables will be extracted from the publications that are included in the review. This will include information on the:</p> <ol> <li>Study characteristics <ol> <li>Publication (title, year of publication, author(s) and their affiliation, journal, type of document)</li> </ol> </li> <li>Variables of interest <ol> <li>Concepts that are used for health research on racialised minority groups and how they are operationalised</li> <li>Research methodology and methods used</li> <li>The data used, and how this is collected, and applied</li> </ol> </li> </ol> <p>A full overview of the variables to be extracted can be found in this Data Extraction sheet.</p>
A STP-HSI index method for urban built-up area extraction based on multi-source remote sensing data
<p>The changes of urban built-up areas can reflect the process of urbanization, and it can reflect the population, economy, and cultural development of the city. Therefore, accurate and timely extraction of urban built-up areas plays an important role in the dynamic management of the city. In the existing research, single-source remote sensing data is used to extract urban built-up areas, and there is a problem that the spectrum of urban areas and non-urban areas is easily confused. Multi-source remote sensing data, including luojia-1 remote sensing data, Landsat 8 OLI remote sensing data, etc., can make up for the spectrum confusing issues.</p> <p>We fuse the time series information of night light remote sensing data, neighborhood information and point of interest (POI) data in spatial dimension, and propose a built-up area extraction method that integrates night light time and space information and POI information.</p>
Dataset for "Surf-Net: A deep-learning-based method for extracting surface-wave dispersion curves"
<p>dataset for the article "Surf-Net: A deep-learning-based method for extracting surface-wave dispersion curves"<br> corrLSynV8.h5: the generated synthetic waveform<br> dispersion.tar : the dispersion curves set for the generated synthetic waveform; the dispersion curves extracted in Northeast China; the dispersion curves extracted in Southeast China</p>
Internal proper motion dispersion profiles for 37 Milky Way globular clusters extracted from Gaia EDR3
<p>Internal proper motion dispersion profiles, in the radial and tangential components, extracted from Gaia EDR3 data for 37 Milky Way globular clusters.</p> <p>Created for, and used for model fitting in, the submitted manuscript: "Multimass modelling of Milky Way globular clusters - I. Implications on their stellar initial mass function above 1 M$_{\odot}$". Details on the creation of this dataset are available within this article.</p>
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.