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6,467 results for “process”
Statistical data - Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia
<p><span>The dataset represents statistical data collected and interpreted by the authors in the framework of the research titled <strong>'Assessing the State and Impact Towards Just Transition Process in the Energy Sector in North Macedonia'</strong>. The research was developed in the framework of the <a href="https://greenforcetwinning.net/">GreenFORCE</a> project and is available under Deliverables <em>4.5_1st Research Study Report</em>; and <em>4.6_2nd Research Study Report</em>. </span></p> <p><span> </span></p> <p><span>The dataset contains tables and graphs that are employed within the research and may be accessed by the general public in compliance with the Creative Commons Attribution license. The datasheets include:</span></p> <p><span> </span><span>1- Primary energy production data 2005-2022 </span></p> <p><span>2- Energy balance 2018-2022</span></p> <p><span>3- Electricity production by domestic producers 2017-2022</span></p> <p><span>4- GDP by production approach 2017-2022</span></p> <p><span>5- GDP components 2019-2021</span></p> <p><span>6- BDP components 2019</span></p> <p><span>7- GDP per capita 2015-2020</span></p> <p><span>8- BDP per sector and region 2021</span></p> <p><span>9- Employment per sector and regions 2017-2021</span></p> <p><span>10- Population data 2021</span></p> <p><span>11- Input-Output analysis data</span></p> <p><span>12- Environmental Investment statistics</span></p> <p><span>13- GHG emissions (+ projections) 2015-2025</span></p> <p><span>14- Environmental taxation (2016-2021)</span></p>
Data from: A case-control study evaluating CT signs of xiphoid process associated with xiphodynia
<p><em>Objectives</em>:To investigate whether CT signs of the xiphoid process, such as xiphisternal angle and evidence of soft tissue compression, are useful for diagnosing xiphodynia.</p> <p><em>Design:</em>A case-control study within a cohort.</p> <p><em>Setting/Participants:</em>Participants included 1560 individuals who visited a small urban hospital in Japan for chest or abdominal pain between January 2021 and September 2023. Those who underwent CT examinations including the xiphoid process were selected. Nine individuals diagnosed with xiphodynia were assigned to the study group, while 321 individuals diagnosed with other causes of pain were assigned to the control group.</p> <p><em>Interventions:</em>The xiphisternal angle, evidence of soft tissue compression anterior to the xiphoid process, anatomical features at the tip of the xiphoid process, and anatomical morphology of the xiphoid process were compared between the two groups.</p> <p><em>Results:</em>There was no significant difference in the xiphisternal angle between the two groups. No significant differences were observed in evidence of soft tissue compression anterior to the xiphoid process or anatomical features at the tip of the xiphoid process. New anatomical signs reveal that in approximately 70% of cases, the xiphoid process curves forward and then backward.Xi</p> <p><em>Conclusions:</em>The xiphoid process sternal angle is not useful for diagnosing xiphodynia. The curvature of the xiphoid process is frequently observed regardless of the presence of xiphodynia.</p>
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Open the record for dataset details and reuse information.
Dataset Dynamics of Clostridium perfringens in BSF production process
Open the record for dataset details and reuse information.
Nat gas processing dataset
Open the record for dataset details and reuse information.
Apache POI pre-processed data for the first DocGen challenge at DySDoc 3
<p>Apache POI pre-processed data for the first DocGen challenge</p> <p>The pre-processed data for First Software Documentation Generation Challenge (DocGen), hosted at the <a href="https://dysdoc.github.io/">Third International Workshop on Dynamic Software Documentation (DySDoc 3)</a>, includes the following datasets for <a href="https://poi.apache.org/">Apache POI 3.17</a>:</p> <p><strong>Call graph between method and classes.</strong></p> <p>File: call-graph-poi-3.17-all.zip</p> <p>CSV file with the call graph between methods and between classes. Class A calls class B if there exists a call between amethod of class A and a method of class B. The call graph was produced by the tool <a href="https://github.com/gousiosg/java-callgraph/">java-callgraph</a>. </p> <p>The CSV file contains the following columns:</p> <ul> <li>call_type: call between (C)lasses or (M)ethods</li> <li>caller: the Fully Qualified Name (FQN) of the caller</li> <li>method_call_type: the type of method call: <ul> <li>M for invokevirtual calls</li> <li>I for invokeinterface calls</li> <li>O for invokespecial calls</li> <li>S for invokestatic calls</li> <li>D for invokedynamic calls</li> </ul> </li> <li>callee: the FQN of the callee</li> </ul> <p>For more details about the format and each type of method call, check the tool <a href="https://github.com/gousiosg/java-callgraph/">README</a>.</p> <p><strong>Inheritance hierarchy</strong></p> <p>File: poi-3.17-inheritance.zip</p> <p>A CSV file with the inheritance hierarchy of POI, which was extracted using bcel 6.2</p> <p>The CSV file contains the following columns:</p> <ul> <li>record_id: sequential number</li> <li>parent_class: the parent class</li> <li>child_class: the child class</li> <li>relationship_type: the type of relationship between classes, i.e., the child class 'extends' or 'implements' the parent class</li> </ul> <p><strong>Issues</strong></p> <p>File: bugzilla-poi-dump.zip</p> <p>CSV file with the list of issues of <a href="https://bz.apache.org/bugzilla/buglist.cgi?product=POI">Apache POI</a> (timestamp: Tue Feb 27, 2018, 18.41.40 UTC)</p> <p>The CSV file contains the following columns:</p> <ul> <li>record_id: sequential number</li> <li>issue_id: the ID that identifies the issue in the issue tracker</li> <li>issue_url: the URL of the issue in the issue tracker</li> <li>issue_title: the title of the issue</li> <li>xml_path: the path to the XML of the issue, which contains all the issue information provided by the issue tracker</li> </ul> <p>All the issues in XML format can be found in the "poi" folder in the ZIP file</p> <p><strong>Commits</strong></p> <p>File: poi-commits.zip</p> <p>A JSON file with commit information for POI 3.17 (until revision 219dff00e6, on Sept. 8, 2017). The information was extracted using the tools <a href="https://dl.acm.org/citation.cfm?doid=2024445.2024463">Historage</a> and <a href="https://dl.acm.org/citation.cfm?doid=2597073.2597125">Kataribe</a>.</p> <p>For each commit, we provide:</p> <ul> <li>Commit hash</li> <li>Parent commit hash (if exists)</li> <li>Commit message</li> <li>Commit time</li> <li>Committer name</li> <li>Method-level changes (addition/deletion/modification/renaming and method FQN). <ul> <li>The FQN contains information about the class (CN) and method (MT) or constructor (CS)</li> </ul> </li> </ul> <p><strong>StackOverflow posts</strong></p> <p>File: apache-poi-SO.zip</p> <p>JSON file with all 6,299 Stack Overflow threads with the <code>apache-poi</code> tag,</p>
The Rainfall Responses of Typhoon Soudelor (2015) to Radiative Processes of Cloud Species
<p>The data provides the scripts and data need to produce Figures and Tables in the manuscript "The Rainfall Responses of Typhoon Soudelor (2015) to Radiative Processes of Cloud Species" submitted to Journal of Geophysical research-Atmosphere.</p>
Data supplementing article "Role of baroclinic processes on flushing characteristics in a highly stratified estuarine system, Mobile Bay, Alabama" submitted to Journal of Geophysical Research: Oceans
<p>The dataset uploaded includes the model inputs and outputs, as well as the time-series of dye mass for each of the 16 numerical experiments that are tested in this study. </p>
Observation of an abnormal upward discharge process in a negative cloud-to-ground flash
<p>In a manuscript entitled “Observation of an abnormal upward discharge process in a negative cloud-to-ground flash”, the lightning data obtained by the Photron SAZ high-speed video and electric field change meters were analyzed. The data of our results are including in the Data_for_Fig_0x.figs. These files can be opened by MATLAB. The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Modeling Compliance Specifications in Linear Temporal Logic, Event Processing Language and Property Specification Patterns
<p>Experimental material & data</p>
Multi-scale Gaussian process dataset
<p>A multi-scale hierarchical dataset comprised of Gaussian processes. For more information regarding the dataset and usage see https://github.com/dexgen/backdrop/.</p>
The process of HDAC11 Assay Development: Effect of reducing agent
<p>An effect of adding reducing agent on the HDAC11 activity was monitored.</p>
Discovering and explaining the learning process of neural networks: A study on EEG data. The animated visualizations.
<p>In the paper 'Discovering and explaining the learning process of neural networks: A study on EEG data' frames of animated visualizations are presented. Here, the full animations are made available so they can be used for interpretation.</p>
Dataset from 'Hesse, C., Koroknai, L., & Billino, J. (2018). Individual differences in processing resources modulate bimanual interference in pointing. Psychological Research. doi: 10.1007/s00426-018-1050-3
<p>--------------------------------------------------------------</p> <p>The folder contains 8 data files and 1 readme file describing the content of the data files.</p> <p>-------------------------------------------------------------</p> <p>For further questions, please contact:<br> c.hesse[at]abdn.ac.uk</p> <p> </p>
data and appendix for paper "From Analytical Purposes to Data Visualizations: A Decision Process Guided by a Conceptual Framework and Eye Tracking"
<p>the folder contains the following:</p> <p>1. Data from the pre-experiment questionnaire provided to the participants (pre-experiment_data.xlsx)</p> <p>2. Questions and answer data (answers_accuracy.xlsx)</p> <p>3. Online figures appendix (figures.pdf)</p>
Interpretable semi-supervised population prediction and disaggregation using ancillary data: processed dataset
<p>Dataset ready for use for the tool "cross_validator.py", that runs the experiments.</p> <p> </p> <p>The data cannot be redistributed as-is as it includes non-redistributable work. Contact authors for access.</p>
FIGURE 2. Oideterus andrarius A. Dorsal habitus. B. Prosternal process. C. Metatarsus. D - E in A new species and new records of the genus Oideterus Thomson, 1857 (Coleoptera: Cerambycidae: Prioninae: Anacolini) from Colombia
FIGURE 2. Oideterus andrarius A. Dorsal habitus. B. Prosternal process. C. Metatarsus. D - E. Females of Oideterus spp.
FIGURES 13–18. Male mandibles and clypeal processes. 13 in Revision of Labidostomis (Coleoptera: Chrysomelidae: Cryptocephalinae: Clytrini) with large united elytral spot from Iran and adjacent countries
FIGURES 13–18. Male mandibles and clypeal processes. 13—Labidostomis elegans; 14—L. kantneri; 15—L. limbata; 16— L. luristanica; 17—L. shirazica; 18—L. regalini sp. nov. Scale bar: 0.5 mm.
Processed Chinese waveforms
<p>This supporting information provides the processed waveforms data recorded in Chinese stations. The origin seismic data recorded at the vertical components of the dense regional broadband seismic stations in China were from the Data backup center of Institute of Geophysics, China Earthquake Administration (IGCEA). In back-projection procedure, we eliminate some noisy data by setting a coefficient threshold of 0.4.</p> <p>In the compressed package with format of ZIP, there are processed waveforms data of all M ≥ 7.0 shallow earthquakes that occurred in and around Japan from 2008 to 2016. The waveforms are named as *<strong>.</strong>????<strong>.</strong>V (‘*’ and ‘????’ represent name of network and station, respectively. ‘.V’ is postfix form of data.).</p>
Supplementary material 2 from: Martín-Forés I, Casado MA, Castro I, del Pozo A, Molina-Montenegro MA, de Miguel JM, Acosta-Gallo B (2018) Variation in phenology and overall performance traits can help to explain the plant invasion process amongst Mediterranean ecosystems. NeoBiota 41: 67-89. https://doi.org/10.3897/neobiota.41.29965
Supplementary material 2 from: Martín-Forés I, Casado MA, Castro I, del Pozo A, Molina-Montenegro MA, de Miguel JM, Acosta-Gallo B (2018) Variation in phenology and overall performance traits can help to explain the plant invasion process amongst Mediterranean ecosystems. NeoBiota 41: 67-89. https://doi.org/10.3897/neobiota.41.29965
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.