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dsmlib - region4FLEX example (Supplementary Material for the manuscript: Assessment of the regionalised demand response potential in Germany using an open source tool and dataset)
<p>This is the supplementary material for the manuscript:<br> Heitkoetter, Wilko, et al. "Assessment of the regionalised demand response potential in Germany using an open source tool and dataset." <em>Advances in Applied Energy</em> (2020): 100001.<br> Article DOI (open access): <a href="https://doi.org/10.1016/j.adapen.2020.100001">https://doi.org/10.1016/j.adapen.2020.100001</a></p> <p><strong>REPOSITORY CONTENT</strong><br> This repository contains the dsmlib python tool for calculating regionalised load shifting potentials and cost-potential curves.<br> Further, the input data and load shifting potential results of the region4FLEX example are provided (<a href="https://wiki.openmod-initiative.org/wiki/Region4FLEX">region4FLEX model description</a>). In the region4FLEX example dsmlib is applied to the 401 German administrative districts (NUTS-3 regions) considering multiple demand sectors and technologies (see Metadata).</p> <p><strong>quick_start_dsmlib_region4FLEX.zip:</strong><br> This file contains the python dsmlib source code and the resulting average and maximum load shifting potential values per administrative district for all technologies (e.g.: see "/results/2030/extreme_values/av_values_p_max.csv" for average load increase potentials in 2030). Unless otherwise stated the units of the results are in MW for power and MWh for energy. (For more information on the results, please refer to \dsmlib-zenodo\examples\region4FLEX_dsm_potential\README.md --> section Results). The resulting time series and large-scale input data are not contained, to allow for a fast download. </p> <p><strong>full_download_dsmlib_region4FLEX.zip:</strong><br> This file contains the python dsmlib source code and the full set of input and result data.<br> For more information refer to /dsmlib/examples/region4FLEX_dsm_potential/README.md</p> <p><strong>LICENSES</strong><br> The developed source code is licensed under the GPL v3 License. All result data are licensed under the CC-BY 4.0 License.<br> The input data are licensed under different open licenses. For more information refer to the provided README files, LICENSE files and input_data_overview files.</p> <p><strong>METADATA</strong><br> <strong>Demand sectors:</strong> Residential, commercial trade and services, industry, power-to-heat, power-to-gas, e-mobility<br> <strong>Technologies:</strong> Washing, drying, cooling, ventilation, AC, air separation, cement production, pulping, paper production,<br> recycled paper production, process heat, heat pumps, resistive space heating, resistive DHW heating, power-to-heat in district heating,<br> power-to-methane, power-to-hydrogen, e-mobility <br> <strong>Energy sectors:</strong> Electricity (+ interfaces to heat, gas and transport sector)<br> <strong>Geographical scope:</strong> Germany<br> <strong>Geographical resolution:</strong> Administrative districts (NUTS-3)<br> <strong>Temporal scope:</strong> 2018, 2030<br> <strong>Temporal resolution:</strong> 15min</p> <p><strong>NEWS AND CONTACT</strong><br> This dataset will be used as part of the region4FLEX model. If you wish to receive news or have general questions please contact: wheitkoetter(at)gmail.com</p>
Electronic Supplementary Data - Jurassic to Cenozoic magmatic and geodynamic evolution of the Eastern Pontides and Caucasus belts, and their relationship with the Eastern Black Sea Basin opening
<p>Electronic Supplementary Data related to the study "Jurassic to Cenozoic magmatic and geodynamic evolution of the Eastern Pontides and Caucasus belts, and their relationship with the Eastern Black Sea Basin opening" published in Tectonics.</p>
Traceability Dataset for Open Source Systems
<p>This dataset provides requirement-to-method traces for four systeme: (1) Chess, (2) Gantt, (3) iTrust, and (4) JHotDraw. </p> <p>You can find four subfolders corresponding to each system within Data.zip. Each subfolder contains four JSON files: </p> <p>1- requirements.JSON: this lists the requirements for each system.</p> <p>2-classes.JSON: This lists the Java classes within each system.</p> <p>3-methods.JSON: this lists the methods for each system along with the class that the method belongs to.</p> <p>4-traces.JSON: this lists the requirement-to-method tracing relationships between each method and each requirement for each system.</p> <p> </p>
Traceability Dataset for Open Source Systems
<p>This dataset provides requirement-to-method traces for four systems: (1) Chess, (2) Gantt, (3) iTrust, and (4) JHotDraw. </p> <p>All applications are open source: </p> <p>Chess: https://github.com/warpwe/java-chess.</p> <p>Gantt: https://sourceforge.net/projects/ganttproject.</p> <p>iTrust: https://sourceforge.net/projects/itrust.</p> <p>JHotDraw: https://sourceforge.net/projects/jhotdraw.</p> <p>You can find four subfolders corresponding to each system within Data.zip. Each subfolder contains four JSON files: </p> <p>1- requirements.JSON: this lists the requirements for each system.</p> <p>2-classes.JSON: This lists the Java classes within each system.</p> <p>3-methods.JSON: this lists the methods for each system along with the class that the method belongs to.</p> <p>4-traces.JSON: this lists the requirement-to-method tracing relationships between each method and each requirement for each system.</p> <p>5-methodcalls.JSON: this lists the parsed method calls for each system. </p> <p>classes.JSON, methods.JSON, methodcalls.JSON all represent information obtained after parsing the source code using the open source library Spoon (http://spoon.gforge.inria.fr/).</p> <p> </p>
Preparation hollow TiO2 microspheres by microwave-assisted method in open system and the research of photocatalytic property of TiO2 microspheres
<p>FTIR spectrum was used to identify the functional groups on the carbon microspheres after heating under microwave. New bands in comparison with glucose at ~1700 and ~1640 cm-1 were attributed to carboxyl groups and aromatic C=C vibrations respectively, supporting the concept of aromatization of glucose during microwave-assisted heating. The presence of bands of carboxyl (-C=O) groups at ~1700 cm-1 and -OH stretching vibration at ~3400 cm-1 indicated that the reactive products with a higher abundance of hydroxyl functional groups, such as -COOH, were formed under the presence of hydrochloride acid and microwave irradiation. The decrease of bands at 1000-1300 cm-1 in carbon microspheres, which assigned to the C-OH stretching and -OH bending, also implied the condensation reactions and polymerization.</p> <p>All peaks in XRD of the calcined TiO2-C could be indexed as anatase phase of TiO2.</p>
An open dataset of butterflies species of south India
<p>An open dataset of butterflies species of south India icluding Scientic Name, English Name & Malayalam Name. This Dataset is growing and prepared for a internal project of Kerala Biodiversity Monitoring Network. This dataset is made available under the Open Data Commons Attribution License v1.0 (ODC-BY 1.0).</p>
Suppelementary Table S1. List of heat-affected proteins in buds, open flowers, wilted flowers, and donor leaves of common buckwheat accessions 'Panda' and PA15. Comparison of protein abundance between heat-treated plants and those growing in optimal conditions.
<p>Suppelementary Table S1. List of heat-affected proteins in buds, open flowers, wilted flowers, and donor leaves of common buckwheat accessions ‘Panda’ and PA15. Comparison of protein abundance between heat-treated plants and those growing in optimal conditions. </p>
Figure 1 from: Haak L, Greene S, Ratan K (2020) A New Research Economy: Socio-technical framework to open up lines of credit in the academic community. Research Ideas and Outcomes 6: e60477. https://doi.org/10.3897/rio.6.e60477
Figure 1 Activities and artifacts at each stage of the research process.
Pesquisa de Opinião sobre Open Science na UEM
<p>Pesquisa de Opinião sobre Open Science na UEM</p>
Data from: Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries
Collecting data on unlicensed open‐access coastal activities, such as some types of recreational fishing, has often relied on telephone interviews selected from landline directories. However, this approach is becoming obsolete due to changes in communication technology such as a switch to unlisted mobile phones. Other methods, such as boat ramp interviews, are often impractical due to high labor cost. We trialed an autonomous, ultra‐high‐resolution photosampling method as a cost effect solution for direct measurements of a recreational fishery. Our sequential photosampling was batched processed using a novel software application to produce "big data" time series movies from a spatial subset of the fishery, and we validated this with a regional bus‐route survey and interviews with participants at access points. We also compared labor costs between these two methods. Most trailer boat users were recreational fishers targeting tuna spp. Our camera system closely matched trends in temporal variation from the larger scale regional survey, but as the camera data were at much higher frequency, we could additionally describe strong, daily variability in effort. Peaks were normally associated with weekends, but consecutive weekend tuna fishing competitions led to an anomaly of high effort across the normal weekday lulls. By reducing field time and batch processing imagery, Monthly labor costs for the camera sampling were a quarter of the bus‐route survey; and individual camera samples cost 2.5% of bus route samples to obtain. Gigapixel panoramic camera observations of fishing were representative of the temporal variability of regional fishing effort and could be used to develop a cost‐efficient index. High‐frequency sampling had the added benefit of being more likely to detect abnormal patterns of use. Combinations of remote sensing and on‐site interviews may provide a solution to describing highly variable effort in recreational fisheries while also validating activity and catch.
Data from: Video education versus face-to-face education on inhaler technique for patients with well-controlled or partly-controlled asthma: a phase IV, open-label, non-inferiority, multicenter, randomized, controlled trial
Background: Education on inhaler technique is critical for effective asthma treatment. However, traditionally used face-to-face education is a time-consuming, costly, and often laborious. The current study evaluated the efficacy of a newly developed video-based inhaler technique education method. Methods: A total of 184 subjects with well-controlled or partly-controlled asthma were enrolled from 12 hospitals in South Korea from 30 November 2015 to 01 June 2016. Subjects were randomly divided into two groups in a 1:1 ratio; a control group that received face-to-face education, and an study group that received video education. All subjects received fluticasone propionate plus salmeterol xinafoate (Fluterol® 250/50 inhalation capsules) for 12 weeks. The primary outcome measure was forced expiratory volume in the 1st second (FEV1) at 12 weeks. The secondary outcome measures were change in FEV1 at 4 weeks, change in asthma control test (ACT) score, and changes in various inhaler technique parameters. These measures were assessed with a non-inferiority margin of 10% between the control group and the study group. Results: FEV1 was significantly improved at 12 weeks in the control group and the study group. After adjustment, FEV1 improvement was not significantly inferior in the study group compared to the control group. The secondary outcome measures, including change in FEV1 at 4 weeks, ACT score, and various parameters pertaining to inhaler technique and satisfaction at 4 and 12 weeks did differ not significantly in the two groups. In subgroup analysis of elderly subjects and subjects with well-controlled asthma, FEV1 was significantly improved at 12 weeks in the study group but not the control group. Conclusion: The newly developed video education technique investigated functioned as a suitable substitute for face-to-face education on inhaler technique (dry powder inhalation capsule) in patients with stable asthma, particularly in elderly patients and patients with well-controlled asthma.
Heritage3DMtl: An Open Multi-Modal UAV Dataset of Montreal's Diverse Heritage Buildings
<p>A comprehensive and open-source dataset containing exterior appearance and geometric data of 17 heritage buildings in Montreal, Canada. This dataset, captured using a low-cost UAV, represents numerous architectural styles and offers detailed representations. It contains acquired UAV images, camera poses, point clouds and meshes of each building. This dataset aims to foster further research in digital heritage preservation and reconstruction.</p>
DeepPull: Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests on GitHub Open-Source Projects
<p>This dataset is from the paper titled "DeepPull: A Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests in GitHub Open-Source Projects," authored by P. Banyongrakkul and S. Phoomvuthisarn.</p><p>The dataset includes 288,121 pull requests from 83 open-source GitHub projects, spanning 6 different programming languages: Python, R, Java, Ruby, PHP, and C++. These pull requests were submitted between the periods of August 2010 and September 2023. The dataset consists of 30 tabular features, 2 textual features, 3 target features, and 5 metadata properties.</p>
EMAP Open Dataset
<p>EMAP is a dataset of 145 individuals' reactions to emotion-provoking film clips. It includes electroencephalographic and peripheral physiological data as well as moment-by-moment ratings for emotional arousal in addition to overall and categorical ratings. The dataset includes "raw" EEG and "cleaned" EEG data versions, as well as skin conductance, heart rate and respiration data and subjective ratings.</p><p>Folder and file labels and contents:</p><ul><li>Both clean and raw data are available in both CSV and EEGLabset file formats. The data labeled as 'P1-50,' 'P51-100,' and 'P101-153' correspond to participants 1-50, 51-100, and 101-153, respectively.</li><li>Additionally, the repository includes already extracted EEG features, named as 'Features,' for researchers interested in utilizing the features from our previous study.</li><li>It is important to note that data for some participants are missing, which explains why the dataset contains information for 145 participants, instead of 153.</li><li>The accompanying "session" .csv files contain demographics and metadata, as well as detailed information on missing participants, trials, sensors, and data.</li></ul>
Open About the Open-Rate? State of Email Tracking in Marketing Emails and Its Effects on User's Privacy
Open the record for dataset details and reuse information.
Data for "New circuits and an open source decoder for the colorcode"
<p>Code written, circuits generated, and statistics collected for the paper "New circuits and an open source decoder for the colorcode".</p>
A Mechanism to Open Academic Chemistry to High-Throughput Virtual Screening
<h1>Pan-Canadian Chemical Library</h1> <p>This Zenodo repository contains the cheap and druglike subset of the Pan-Canadian Chemical Library (PCCL) project. For more information, visit <a href="https://pccl.thesgc.org/" rel="nofollow">https://pccl.thesgc.org</a>.</p> <h2>PCCL library</h2> <p>The PCCL library is splitted by reaction, then by number of heavy atoms. Two types of files are available in zip archives:</p> <ul> <li>The SMILES format files, with the SMILES string and their product name,</li> <li>The CSV format file, with all the information generated during their enumeration: reagents, druglike properties, etc.</li> </ul> <p>Note: Purchasability is defined according to two integers: 1 for products only composed of BB-50 reagents, and 2 for products composed of BB-40 or BB-50 reagents. Read more about the meaning of these reagents groups in the article below.</p> <h2><a href="https://github.com/cbedart/PCCL#citation"></a>Citation</h2> <p>If you find the PCCL useful or if you use it, please cite our paper:</p> <p>Bedart, C. <em>et al.</em> A Mechanism to Open Academic Chemistry to High-Throughput Virtual Screening. ChemRxiv (2023).<br>doi:10.26434/chemrxiv-2023-jgbgv<br>This content is a preprint and has not been peer-reviewed.</p>
Shinique Smith - Open Word Lattice
Ink, acrylic, fabric and paper collage, and found objects on cut wood panel 2014, this 3D scan 2014 Scanned at: Museum of Fine Arts, Boston Source: Objaverse 1.0 / Sketchfab
Figure 1 from: Filter M, Candela L, Guillier L, Nauta M, Georgiev T, Stoev P, Penev L (2019) Open Science meets Food Modelling: Introducing the Food Modelling Journal (FMJ). Food Modelling Journal 1: e46561. https://doi.org/10.3897/fmj.1.46561
Figure 1 - Workflow for conversion of FSK-ML metadata into Model manuscripts.
Bus Open Data Service GTFS archive
<p>This dataset consists of an archive of timetables data originally published by the <a href="https://www.bus-data.dft.gov.uk/">Bus Open Data Service</a> in the General Transit Feed Specification (GTFS) standard. The information mainly reflects local public transport services, such as bus, tram, and ferry. It covers all regions in Great Britain.</p> <p>The archive is compiled by taking snapshots of the GTFS data published since 2021. From February 2023, regular snapshots have been taken every Saturday and Tuesday. The timetables data provides specific details, such as the number, day, date, route, and time.</p> <p>The time period coverage of this version is from 2021 to 2023, with consistency since February 2023.</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.