Find research datasets worth reusing
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113
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Dataset results
113 results for “Reuse”
MADFORWATER: WP1: Water and water-related vulnerabilities in Egypt, Morocco and Tunisia: Task1.2: Analysis and mapping of water stress, water vulnerability and potential for water reuse in Egypt, Morocco and Tunisia: Subtask1.2.b: Data collection on water stress and vulnerability: Souss-Massa Region Subset
<p>This folder contains the dataset that I used to write my conference paper "Groundwater Resources Scarcity in Souss-Massa Region and Alternative Solutions for Sustainable Agricultural Development"</p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset1
<p>This dataset contains the data underlying the following publication: Mouna Mahjoubi, Simone Cappello, Yasmine Souissi, Atef Jaouani and Ameur Cherif (February 7th 2018). Microbial Bioremediation of Petroleum Hydrocarbon– Contaminated Marine Environments, Recent Insights in Petroleum Science and Engineering Mansoor Zoveidavianpoor, IntechOpen, DOI: 10.5772/intechopen.72207</p> <p> </p>
Building Public Confidence in Constructed Wetlands for Wastewater Treatment and Reuse: Survey Data and Focus Group Transcripts
<p>Constructed wetlands have been proposed as a cost-effective wastewater treatment, storage, and reuse solution for communities that are considering alternative water supply options to meet essential demands. In 2016, we began exploring the idea of wastewater reuse and the construction of an experimental wetland in Sewanee, located in the southern U.S. state of Tennessee. As a major barrier to water reuse is often public resistance, we conducted a survey and focus groups to determine strategies to develop and initiate a community engagement campaign, aiming to empower residents to form reasoned opinions about local water supply options.</p> <p>This data set includes the survey that was distributed to Sewanee community members between November 2015 and February 2016, as well as protocols for three focus groups that were conducted with K12 teachers and community leaders on February 11 and 12, 2016. The survey results are summarized in a Microsoft Excel file. The three focus groups were transcribed, these transcripts are included here as PDF documents.</p>
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset5
<p>This dataset contains the data underlying the following publication: Yu Huang, Shi Cheng, Ya-Ping Wu, Ji Wu<sup> </sup>, Yan Li, Zong-Li Huo, Ji-Chun Wu<sub>­</sub>, Xian-Chuan Xie, Gregory V. Korshin , Ai-Min Li<sup> </sup>, Wen-Tao Li (2019)</p> <p>Developing surrogate indicators for predicting suppression of halophenols formation potential and abatement of estrogenic activity during ozonation of water and wastewater. <em>Water Research.</em> <a href="https://doi.org/10.1016/j.watres.2019.05.092">https://doi.org/10.1016/j.watres.2019.05.092</a></p>
Evaluation Set for Historical Text Reuse Detection (HTRD) in 15th-Century German Prose Texts
<p>The evaluation set provides a pair of 15th-century German prose texts in which instances of assumed text reuse (TR) have been annotated, categorised and linked using the TEI standard. The annotated texts are intended to serve as evaluation set for computational methods and tools specialising on Historical Text Reuse Detection (HTRD). The texts featured in the evaluation set are (1) "Der Doernenkrantz van Collen", a late medieval lay didactic treatise on the estates of society, and (2) "Die Cronica van der hilliger Stat Coellen", one of the most important medieval chronicles of the city of Cologne. Both texts are written in Ripuarian, a west middle German dialect of the late middle ages and early modern period, and exhibit orthographic variance as well as transcription errors due to automatic Handwritten Text Recognition (HTR), which makes them challenging for HTRD.</p>
Reuse of Model Transformations for Propagating Variability Annotations in Annotative Software Product Lines - Evaluation Data
<p>This package contains all data that was produced for and used in the doctoral thesis for evaluating commutativity of propagating annotations in model-driven product lines.<br> This includes the implementation that conducts the evaluation, the measured results, and the input subjects.</p>
Raw data files for the manuscript entitled "Hybridization of Synthetic Humins with a Metal–Organic Framework for Precious Metal Recovery and Reuse"
<p>Datasets for the data presented in the manuscript entitled "Hybridization of Synthetic Humins with a Metal–Organic Framework for Precious Metal Recovery and Reuse" published in ACS Applied Materials and Interfaces.</p>
Illustrations from the Research Engineering Group: Shared under CC-BY 4.0 for reuse
<p>Illustrations created by <a href="http://www.scriberia.co.uk/">Scriberia</a> as part of the Research Engineering Group (REG) illustration sprints in 2022. They depict a variety of content to describe how REG work and the team’s makeup. More information about the team can be found at <a href="https://www.turing.ac.uk/research/research-engineering">https://www.turing.ac.uk/research/research-engineering</a>.</p> <p>When using any of the images, please include the following attribution with the specific DOI:</p> <blockquote> <p><em>This illustration is created by Scriberia with the Research Engineering Group. Used under a CC-BY 4.0 licence. DOI: </em><a href="https://doi.org/10.5281/zenodo.7785796">10.5281/zenodo.7785796</a></p> </blockquote> <p>Please note that these images are shared here in the original format and size. Individual illustrations are provided as <strong>.jpg</strong> and <strong>.tif</strong> files.</p> <p>We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text, or merging them together with additional (openly licensed) images. If you'd like to change the colours of the image, for example to align with other elements of your presentation, Alex Chan has written a <a href="https://alexwlchan.net/2020/02/adjusting-the-dominant-colour-of-an-image/">guide for changing the dominant colour in an image</a> which we hope is helpful.</p> <p>If you create something that others may benefit from, we encourage you to contribute your image back to REG.</p>
Results of the poll in the study "Information Scientists' Motivations for Research Data Sharing and Reuse"
<p>This is a dataset with results of the poll conducted in the study “Information Scientists’ Motivations for Research Data Sharing and Reuse”.</p> <p>In terms of the Uses and Gratifications Theory (Questions 1 and 2), the most popular uses relate to the categories of research support and information. Researchers share, or would share, their research data in general for any reusability purposes and especially for combination of different datasets to produce new evidence. Also, the vast majority of study participants associate research data sharing with possibilities to accelerate scientific progress and to increase research efficiency. In case of research data reuse, all the researchers indicated that they use, or would use, others’ data first of all for inspiration. Interestingly, study participants put relatively high the category of recognition in case of sharing, but at the same time they do not associate increased recognition among colleagues and other researchers with research data reuse. The remaining categories belonging to the categories of self-esteem and social interaction, i.e. increased citation level and visibility of the research as well as enhanced scientific reputation, possible cooperations and co-authorship, were selected only by few respondents. Also remarkably, data reuse is more frequently linked to entertainment then data sharing. </p> <p>In terms of the Self-Determination Theory (Questions 3 and 4), all but one of the interviewees indicated that they have shared or would share their research data because it can accelerate scientific progress which they consider important and would like to contribute to it (i.e., identified regulation). The second most popular motivation turned out to be the obligation by employer, project funder and/or journals (i.e., external regulation). The third most popular option was social influence, i.e. because many other researchers participate in data sharing and they feel obligated to do the same (i.e., external regulation).This way, the participants demonstrate a mixture of identified motivation and external regulation, both material and social. In the case of data reuse, the participants demonstrate more homogeneous results with identification and intrinsic motivation having most of the votes. The role of external regulation seems to be much less important as in the case with data sharing. So, researchers reuse, or would reuse, research data because it can accelerate scientific progress which is important for them. Additionally, researchers enjoy exploring and using third party research data. Thus, interviewees participate or would participate in data sharing because they consider it important, but also feel or are obliged to do so. At the same time, study participants do not feel pressure from outside when deciding whether to reuse data or not.</p> <p>For more information about the study and its results, please read the article “Information Scientists’ Motivations for Research Data Sharing and Reuse” by Shutsko and Stock (2023).</p>
Data from: The biogeochemical boomerang: Site fidelity creates nutritional hotspots that may promote recurrent calving site reuse
Open the record for dataset details and reuse information.
Supporting information for IUCr survey on raw data archival and reuse in chemical crystallography
<p>Supporting information i.e. questions, responses and raw data, relating to a study into raw data management and availability in small molecule crystallography conducted under the auspices of the International Union of Crystallography Committee on Data.</p> <p>It is now common to deposit structure factors when publishing, which means that the small molecule crystallography community caters very well for routine structures. However this is generally only the case if everything in a raw image is fully and/or properly accounted for and the model is correct or appropriate. So for example, in some cases raw data may no longer be required, while in others it may be necessary to validate or ‘do better’ in the future. Moreover there are increasing pressures from bodies e.g. funders to make the data relating to research outputs Findable, Accessible, Interoperable and Reusable (FAIR). In acknowledgement of this situation and in order to begin addressing it, IUCr Journals now facilitate access to and citation of large raw diffraction datasets in its articles. Therefore it is important for our community understand and define how we manage our raw data in this respect.</p> <p>As Members of the IUCr Committee on Data we see the need to conduct this survey about exploring raw data archival<br> practice and gathering opinions as to if/how raw data could/should be used if it were to be made more widely<br> available.</p>
Poseidon 2.0 - Decision Support Tool for Water Reuse (Microsoft Excel) and Handbook
<p>Poseidon 2.0 is a user-oriented, simple and fast Excel-Tool which aims to compare different wastewater treatment techniques based on their pollutant removal efficiencies, their costs and additional assessment criteria. Poseidon can be applied for pre-feasibility studies in order to assess possible water reuse options and can show decision makers and other stakeholders that implementable solutions are available to comply with local requirements. This upload consists in:</p> <ul> <li>Poseidon 2.0 Excel File that can be used with Microsoft Excel - XLSM</li> <li>Handbook presenting main features of the decision support tool - PDF</li> </ul> <p>This dataset is linked to following additional open access resources:</p> <ol> <li>: Oertlé E, Hugi C, Wintgens T, Karavitis C, Oertlé E, Hugi C, Wintgens T, Karavitis CA. 2019. <strong>Poseidon—Decision Support Tool for Water Reuse</strong>. Water. 11(1):153. doi:10.3390/w11010153. [accessed 2019 Jan 22]. <a href="http://www.mdpi.com/2073-4441/11/1/153">http://www.mdpi.com/2073-4441/11/1/153</a> .</li> <li>Externally hosted supplementary file 1, Oertlé, Emmanuel. (2018, December 5). <strong>Poseidon - Decision Support Tool for Water Reuse (Microsoft Excel) and Handbook (Version 1.1.1)</strong>. Zenodo. <a href="http://doi.org/10.5281/zenodo.3341573">http://doi.org/10.5281/zenodo.3341573</a></li> <li>Externally hosted supplementary file 2, Oertlé, Emmanuel. (2018). <strong>Wastewater Treatment Unit Processes Datasets: Pollutant removal efficiencies, evaluation criteria and cost estimations (Version 1.0.0)</strong> [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.1247434">http://doi.org/10.5281/zenodo.1247434</a></li> <li>Externally hosted supplementary file 3, Oertlé, Emmanuel. (2018). <strong>Treatment Trains for Water Reclamation (Dataset) (Version 1.0.0)</strong> [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.1972627">http://doi.org/10.5281/zenodo.1972627</a></li> <li>Externally hosted supplementary file 4, Oertlé, Emmanuel. (2018). <strong>Water Quality Classes - Recommended Water Quality Based on Guideline and Typical Wastewater Qualities (Version 1.0.2)</strong> [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.3341570">http://doi.org/10.5281/zenodo.3341570</a> </li> </ol>
Simulation data DC Waste Heat Reuse - Multiple DCs connected to river water / ATES system
<p>CATALYST D7.5 report - SBP-DC-TC-7 - Scenario 7</p> <p>Compilation of simulation result data on DC waste heat reuse for a DC chain, connected to river water / ATES free cooling system.</p> <p>Scenario 7: Workload federated DCs - DC Waste Heat Reuse - EleENGctrical Flexibility - IT Load Migration</p>
reuse
<p>This data set represents an interesting SE problem: how to make sense of software development when very little data (only 23 instances) is available for generalization<br> <br> Number of instances in the data : 24<br> Number of attributes in the data : 29</p> <p> </p> <p>Note that all 23 projects seen in this data set used a repository; i.e. this data set could never be used to refute claims that a repository is useless. Nevertheless, like Morisio et.al., we believe that reuse products have to be kept in some sort of repository to enable reuse.<br> </p>
Part-by-part interface-based search and automatic reassembly of CAD models for database expansion and model reuse
<p>This dataset contains the generated cad assembly from three differents strategy from the article "Part-by-part interface-based search and automatic reassembly of CAD models for database expansion and model reuse".<br> In ReplacePart strategy, each assembly is available in .FCStd format which has the kinematic constraints in the A2+ workbench. A .STEP format of the assembly as well as a PNG screen of the assembly is also available. For the two other strategies, juste STEP files are availables.</p>
Sant Bartomeu apòstol, Museu de Reus (IMRC)
**CAT.** Talla de fusta exempta, daurada i policromada, que representa la figura de l'apòstol Sant Bartomeu. Va ser esculpida per Agustí Pujol I, entre 1587 i 1589, i formava part de l'antic retaule major de la prioral de Sant Pere. **ES**. Talla de madera exenta, dorada y policromada, que representa la figura del apóstol San Bartolomé. Fue esculpida por Agustí Pujol I, entre 1587 y 1589, y formaba parte del antiguo retablo mayor de la prioral de Sant Pere. **EN.** Free-standing, gilded and polychromed wooden sculpture representing the apostle Saint Bartholomew. Sculpted by Agustí Pujol I between 1587 and 1589, it was once part of the main altarpiece of the priory church of Sant Pere. Número de registre: MR 1466 Model: Jaime Salguero. Text: Museu de Reus (IMRC) Source: Objaverse 1.0 / Sketchfab
Baldaquí. Sant Pere de Reus
Antoni Olomos Baldaquí de l'altar Major. Església prioral de sant Pere de Reus Source: Objaverse 1.0 / Sketchfab
code reuse research dataset
<p>CodeData.rar: containing code snippets we extracted from SO posts.</p> <p>NewAns.zip: containing the results of the clone detection tool "CCFinder".</p> <p>time diff statistics.txt: time information of the clone pairs.</p>
GEOS-Chem 2015 Speciated PM2.5 Outputs for "Impact of circular- and single-sector waste-heat reuse pathways on PM2.5-air quality, CO2 emissions, and human health in India; material exchanges more viable to achieve sustainability targets"
<p>Daily PM2.5 and species outputs from GEOS-Chem Modeling over India (0.5° x 0.625°) </p>
Dataset for an analysis of selected studies on software development and reuse in the field of software documentation
<p>The data record contains bibliographical metadata from 2012 to 2023, which have been extracted from the databases ScienceDirect, SpringerLink and IEEE Xplore. It was created in the context of a master thesis which will be published later. The aim was to make a selection of studies on software documentation from the perspective of software development based on the master thesis.</p>
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.