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3,684 results for “extract”
Catalogue of Life: Catalogue of Life extract for DH2
based on the 2019-annual version Data sets for the assembly of the EOL dynamic hierarchy.
Code and data for "ActivityGen: Extracting Enabled Activities from Screenshots"
<p>The code and data for the paper "ActivityGen: Extracting Enabled Activities from Screenshots" is provided here. </p> <p><strong>Abstract</strong></p> <p>Many tasks in organizations are performed in a desktop environment. It is possible to record users' interactions in a desktop environment by taking screenshots when an action happens. The result is an interaction log. By considering the associated images of a record, it is possible to detect which activity was performed and which activities were enabled. This information can be extracted, resulting in a translucent event log. Such a translucent event log is valuable and can be used as input for dedicated process-mining techniques. The results can be used to analyze human-computer interactions or create bots for robotic process automation. However, current techniques for extracting information on enabled activities rely on template matching, which is rigid and sensitive to variations. To solve this issue, we present our modular framework, ActivityGen. ActivityGen detects and labels graphical user interface elements by also considering additional information. ActivityGen uses more advanced techniques to overcome the limitations of previous approaches and can extract information without a user's input. Furthermore, it can be adjusted to a user's needs. It detects graphical user interface elements more accurately than state-of-the-art techniques and labels them faster, more robust, and more domain-oriented than state-of-the-art techniques.</p> <p><strong>Data</strong></p> <p>ReDraw_CLS and ReDraw_ViSM are specified in the work. </p> <p>The basis for ReDraw_CLS is the ReDraw dataset. We focus on the following components: Button, CheckBox, EditText, Image, ImageButton (which we refer to as icon), RadioButton, and Switch. We noticed that the examples of ImageView and ImageButton are similar, primarily consisting of icon images. Therefore, we removed the ImageView class and introduced an Image class instead. The Image class contains images from the validation set of the Coco validation set 2017 and the YouTube Thumbnails dataset, enabling the detection of general website images.</p> <p>ReDraw_ViSM iterates add 6,000 synthetically created buttons to the former dataset by distributing them in the same ratio into train, test, and validation sets.</p> <p>lm_basic and lm_extended contain the text training for the language models. </p> <p><strong>Code</strong></p> <p>The code allows for the execution of ActivityGen. Moreover, we provide our evaluation scripts. However, the models do not have to be trained. The models' weights are provided in the model folder.</p>
Extracted energy position
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Imagenet Features Extracted with VGG-19
<p>This dataset contains features extracted from the Imagenet dataset using a pre-trained VGG-19 neural network. The network was configured with an input layer of (200, 200, 3). Feature extraction was performed using the Python package <a href="https://github.com/jgoodman8/py-image-features-extractor" target="_blank" rel="nofollow noopener noreferrer">Py Image Feature Extractor</a>.</p>
Global extraction accounts of crude metal ores, 1970-2022
<p><span>This data file contains an update of the global accounts for crude metal ore extraction as compiled for the ‘Global Material Flows Database’ of the UN International Resource Panel (IRP) (<a href="https://www.resourcepanel.org/global-material-flows-database">https://www.resourcepanel.org/global-material-flows-database</a>). </span></p> <p><span>The accounts of the 07.2024 update cover the period of 1970 to 2022 and contain data for 47 metal ores extracted in 151 countries. </span></p> <p><span>The 07.2024 update followed the method for compiling economy-wide material flow accounts as described in the Technical Annex of the IRP database (CSIRO, 2024). </span></p> <p><span>Primary data on the extraction of metal ores was obtained from three major international data sources: the World Mining Data (WMD) published by the Federal Ministry of Finance of Austria, the British Geological Survey (BGS) and the United States Geological Survey (USGS). WMD was used as the main data source, which was then complemented with data from BGS and USGS. The primary data source for each data point is indicated in the data file. </span></p> <p><span>In cases primary sources reported the extraction of crude ores, these values were directly used. Material names in the data file indicate those cases as “ores”. </span></p> <p><span>However, data on metal production is often reported in terms of net-metal contents, i.e., metal quantity after the processing and concentration of crude ores. In those cases, factors were applied that represent ore grades and compensate for losses in recovery. These factors were compiled from the SNL Metal and Mining database (SNL, 2024) and own research based on company reports (Jasansky et al., 2023). </span></p> <p><span>Further, in case of polymetallic extractions, a price allocation approach was applied. Average prices for each metal ore in the period of 1990-2020 were combined with metal production data to allocate crude ore extraction to each metal produced, proportional to the total value of each metal. Thereby, double counting is avoided. </span></p> <p><span>After this recalculation, each metal has been allocated a share of the corresponding crude ore. Material names in the data file indicate those cases as “associated ores”. </span></p> <p><span><br>References:</span></p> <p><span>CSIRO, 2024. Technical Annex for Global Material Flows Database - 2024 edition. Available at: https://www.resourcepanel.org/sites/default/files/technical_annex_for_global_material_flows_database_-_vers_4_june_2024.pdf. Australia National Science Agency, Canberra.</span></p> <p><span>Jasansky, S., Lieber, M., Giljum, S., Maus, V., 2023. </span><span>An open database on global coal and metal mine production. Scientific Data 10 (1), 1–12. DOI: 10.1038/s41597-023-01965-y.</span></p> <p><span>SNL, 2024. Metals and Mining Database. S&P Global Market Intelligence, New York.</span></p>
APS+HIVST Study Extract dataset
<p>Dataset supporting quantitative analysis in the paper "Uptake and acceptability of oral HIV self-testing in the context of assisted partner services in Western Kenya: A mixed-methods analysis".</p> <p>The dataset is de-identified and any potential identifier variables have been excluded e.g. health facility attended.</p>
"Data on Water Discharges from Copper Ore Extraction in the Sayak Ore Basin"
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The official dataset of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient"
<p>This is the official repository of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication, "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).<strong> </strong>See the README.txt file for more details.</p>
Data Extraction Form - Systematic Mapping Study of AxC Multipliers
<p>Data Extraction Form used to record the mapped publications to address the research questions from a systematic mapping study of approximate multipliers design.</p>
Resulting videos from the article: A Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Images
<p>Videos called 'MFM PCP DMD ...' correspond to Figure 5 in the mentioned article. They show comparison of MFM, PCP, and DMD algorithms. Upper images in each year correspond to the separated background matrix, the lower images correspond to matrix of dynamic component. The videos cover 1.7 hours of observations starting at 06:00:00 UTC on 2011 June 7, 16:50:00 UTC on 2012 April 16 and 18:30:11 UTC on 2014 October 2.<br><br>The other videos correspond to Figure 7 in the article. They compare the results from PCP algorithm applied to the 30.4 and 17.1 nm AIA bandpasses. The videos starting at 16:50:00 UTC on 2012 April 16 and 18:30:11 UTC on 2014 October 2, respectively, and cover 1.7 hours of observations.</p>
Trans-CAUNet: A Swin Transformer-Based Network for Automated Extracting Mountain Glaciers with Multisource Remote Sensing Imagery
<p>Trans-CAUNet: A Swin Transformer-Based <a>Network</a> for Automated Extracting Mountain Glaciers with Multisource Remote Sensing Imagery</p> <p>Original remote sensing images</p> <div> </div>
Supplementary material: 1H NMR of Buddleja officinalis flowers extract (BO-LLE) and microfractions
<p>1H NMR files of Buddleja officinalis flower extract (BO-LLE) and microfractions (MF) used for NMR-based biochemometrics</p>
Data compilation for project Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana
<p>This repository contains the database for the project "Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana". This is the third chapter of the PhD thesis of Hurtado-Pulido</p> <p>Authors: Hurtado-Pulido C., Ebinger, C.</p> <p>The datasets used in this project were compiled and curated by Hurtado-Pulido from different sources for her PhD dissertation. <br>Earthquakes in the ISLA dataset were collected during the ISLA project (2019-2022), which was led by Ebinger (the Project's PI).</p> <p>If you use this dataset or part of it please also cite the original references listed in the READme document.</p> <p>Please address any questions about this dataset to Hurtado-Pulido.</p>
Dataset for ''First comparison of MLT 3-dimensional wind retrieval methods and first direct extraction of vertical wind tides''
<p>This dataset supports the figures in the article "First comparison of the MLT vertical wind retrieval methods and first direct extraction of vertical wind tides" and the supporting information. The data are provided in MatLab format.</p>
Simultaneous operations of uterus extraction and cholecystectomy
<p><span>В публикации освещаются вопросы особенностей симультанных операций при лапароскопической экстирпации матки (ЛЭМ) и холецистэктомии (ЛХЭ), определение данного понятия. Приведены обоснования хирургических вмешательств на нескольких органах и принципы их выполнения. Спектр таких операций широкий и продолжает расширяться. Выявлено, что чаще всего основным хирургическим вмешательством является холецистэктомия, выполненная малоинвазивным способом. </span></p> <p><strong><span>Ключевые слова:</span></strong><span> симультанные операции, лапароскопической экстирпации матки (ЛЭМ) и холецистэктомии.</span></p>
DOM samples from experimental Kelp cultures as well as symbiont culture extracts
<p>Nontargeted ESI-MS data from DOM extracts of laboratory cultures of kelp specimens, as well as kelp microbial symbiont extracts recorded on Exploris 480</p>
Positive mode DDA LC-MS/MS analysis of organic plant extracts (Malaga)
<p>Organic Plant extracts from Malaga resuspended in 8/2 MeOH/water and analysed on Exploris 480 in positive DDA mode.</p>
Chapter 4 Effects of orange peel extract on the oxidative potential and laccase gene expression in Trametes versicolor
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Fig. 5 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 5. Mitochondrial membrane potential (MMP %) of SNU-5 cells treated with indicated concentration of methanolic extract of plant for 48 h. The S. petiolata methanolic extracttreated SNU5 cells showed induction of MMP loss in a dose dependent manner.
Fig. 2. SNU5 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 2. SNU5 cells were treated with indicated concentrations of methanolic extract of S. petiolata for 48 h and cells were prolonged for clonogenic assay for 21 days. The extract-treated SNU5 cells showed decrease in the percentage of colony formation as compared to control in a dose-dependent manner.
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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.