Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,172
datasets available to search
ShareScore release 0.9.0
Dataset results
3,172 results for “public”
Dataset supporting publication: "Geofit Project Creating the Opportunity of Geographical – BIM (GEOBIM) Platform to Manage Geothermal Systems"
<p>Dataset supporting publication: “Geofit Project Creating the Opportunity of Geographical – BIM (GEOBIM) Platform to Manage Geothermal Systems” (publication available in <a href="https://zenodo.org/record/7274056#.Y2Jml3bMJPY">GEOFIT Zenodo</a>)</p> <p>Within the GEOFIT project (Smart Geothermal Systems1), BIM environment has been defined as GeoBIM platform. This term refers to those specific geothermal applications which are included in a tailormade BIM platform to manage the geothermal systems, building, site and assets information from models, sensors installed and simulations. In GEOFIT project, the demo-sites location is enriched up to the holistic view of the retrofitted buildings with all the geothermal facilities designed, simulated, installed, commissioned, and monitored, from inception onward, during the lifecycle of a facility and includes all stakeholders who need facility information – from the designers to the occupants with the building in operation. This holistic view includes the execution control and the permanent geographical reference because the simulation, monitoring and design processes happen in a specific geographical context. The definition and implementation of a GEOBIM platform is paramount for the project and it is one of the main outcomes of<br> GEOFIT project. While BIM implementation is ubiquitous in the architectural issues of the project, relying mostly on CAD designs, geographical information has a limited role particularly in construction projects, it is often restricted to some specific tasks or seen as a potential redundancy to BIM. Considering the geographical dependent tasks in GEOFIT, GIS can bring a valuable complementary contribution to the BIM process by providing spatial input and geospatial visualization, adding information on the retrofitting demo-site’s surrounding environment and underground thermal information that is essential for design decisions and the approval processes regarding building integrity and geothermal energy availability. In this paper, an interdisciplinary cooperation, data exchange, and data transfer occurs among the different professionals and disciplines involved for the successful retrofitting project planning and energy efficiency demonstration throughout the GEOBIM platform. This is implemented to assemble this set of powerful assessment, inspection and ground research, testing, and real time monitoring tools.</p>
Dataset supporting publication: "On Site Monitoring During Nearby Drilling Operations Toward a Geothermal Power System Installation"
<p>Dataset supporting publication: “On Site Monitoring During Nearby Drilling Operations Toward a Geothermal Power System Installation” (publication available in <a href="https://zenodo.org/record/7266405#.Y1_fAHbMJPY">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from structural health monitoring activities (accelerometer data).</p> <p>Among the approaches to the production of “green” energy, geothermal power systems are becoming quite popular in Europe. Their installation in existing buildings requires an extended, external pipes appendix whose laying operation needs a drilling activities nearby structural skeletons often designed to support static loads only, especially when ancient buildings are targeted. This contribution reports and discusses the experimental results achieved within a specific case study within the European project GEOFIT. In particular, standard accelerometric measurements in and nearby a single-story reinforced concrete building are collected and analysed in the absence of drilling (pre-drilling) and during drilling activities (drilling phase) to monitor the structure response to the external source of vibrations related to the excavations phase. The target is to outline automatic guidelines toward installations preventing from any sort of structural damage.</p>
Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol"
<p>Dataset supporting publication: “A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol” (publication available for download: <a href="https://zenodo.org/record/4062276#.X33rSO3tbIU">GEOFIT Zenodo</a>)</p> <p>Datasets resultant from simulation of the integrated system into buildings.</p> <p>Conference paper presented in <a href="https://www.bso2020.org/">IBPSA-England Building Simulation and Optimisation Conference 2020</a></p> <p>This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a Resistor-Capacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters’ needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.</p>
Conformation Database for Publication: Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction
<p><strong>Conformation database</strong> for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction"</p> <ul> <li>DOI of Physica A publication: <a href="https://doi.org/10.1016/j.physa.2022.128395">https://doi.org/10.1016/j.physa.2022.128395</a></li> <li>GitHub source code: <a href="https://github.com/CompSoftMatterBiophysics-CityU-HK/Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction">https://github.com/CompSoftMatterBiophysics-CityU-HK/Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction</a></li> </ul> <p>This conformation database shows the distinct conformations of best-known and next best energies:</p> <p>├── <strong>20merA</strong><br> │ ├── <strong>20merA_E8_set</strong><br> │ ├── <strong>20merA_E9_set</strong><br> │ ├── confs_20merA_E8.txt<br> │ └── confs_20merA_E9.txt<br> ├── <strong>20merB</strong><br> │ ├── <strong>20merB_E10_set</strong><br> │ ├── <strong>20merB_E9_set</strong><br> │ ├── confs_20merB_E10.txt<br> │ └── confs_20merB_E9.txt<br> ├── <strong>24mer</strong><br> │ ├── <strong>24mer_E8_set</strong><br> │ ├── <strong>24mer_E9_set</strong><br> │ ├── confs_24mer_E8.txt<br> │ └── confs_24mer_E9.txt<br> ├── <strong>25mer</strong><br> │ ├── <strong>25mer_E7_set</strong><br> │ ├── <strong>25mer_E8_set</strong><br> │ ├── confs_25mer_E7.txt<br> │ └── confs_25mer_E8.txt<br> ├── <strong>36mer</strong><br> │ ├── <strong>36mer_E13_set</strong><br> │ ├── <strong>36mer_E14_set</strong><br> │ ├── confs_36mer_E13.txt<br> │ └── confs_36mer_E14.txt<br> ├── <strong>48mer</strong><br> │ ├── <strong>48mer_E22_set</strong><br> │ ├── <strong>48mer_E23_set</strong><br> │ ├── confs_48mer_E22.txt<br> │ └── confs_48mer_E23.txt<br> └── <strong>50mer</strong><br> ├── <strong>50mer_E20_set</strong><br> ├── <strong>50mer_E21_set</strong><br> ├── confs_50mer_E20.txt<br> └── confs_50mer_E21.txt</p>
dataset related to article "LESSONS LEARNED FROM THE LESSONS LEARNED IN PUBLIC HEALTH DURING THE FIRST YEARS OF COVID-19 PANDEMIC" in press
<p>THE DATABASE CONTAINS THE DATA EXTRACTION FORM USED TO RECORD DATA FROM THE STUDIES INCLUDED IN THE REVIEW, WHICH JOURNAL, YEAR, AUTHORS, TITLE, GEOGRAPHIC AREA OF THE STUDY (WHO REGIONS), AND PARTICIPANTS’ INFORMATION (NUMBER AND MEAN AGE) WERE REPORTED. IN THIS FORM, DATA HAVE BEEN DIVIDED INTO 10 MAIN SECTIONS, ONE FOR EACH WHO PUBLIC HEALTH PILLAR. IN EACH SECTION, A DEFINITION OF THE PUBLIC HEALTH AREA COVERED BY THE PILLAR, THE TOTAL NUMBER OF ARTICLES LINKED TO THE PILLAR, THE TOTAL NUMBER OF AVAILABLE LESSONS CONNECTED TO EACH PILLAR, AS WELL AS THE TOTAL NUMBER OF REFERENCES TO EACH LESSON LEARNED WITHIN EACH PILLAR (WHICH CONSTITUTES THE MAIN RESULT) WAS INCLUDED.</p>
Dataset for publication Healthcare 1839287
<p>Raw data for the project linked to the publication in the journal Healthcare (article n°1839287) entitled " Assessing barriers encountered by women in cervical cancer screening and follow-up care in urban Bolivia, Cochabamba. "</p>
Dataset for the publication: Moisture-driven divergence in mineral-associated soil carbon persistence
<p>This data accompanies the manuscript titled, "Moisture-driven divergence in mineral-associated soil carbon persistence". Descriptions of data sources and measurement methods are given in the manuscript.</p>
OSSRF dataset for JSME-22-0230 publication
<p>OSSRF dataset for JSME-22-0230 publication</p>
Fig. 5 in EDITORIAL The Natal Museum and its journals: celebrating a century of publication, 1906-2005
Fig. 5. Ratio of the number of nomenclatural acts other than new descriptions to the number of new descriptions.
Raw data for publication Vaccination of elms against Dutch elm disease – are the associated epiphytes and endophytes affected?
<p>The raw datasets accompany manuscript titled " Vaccination of elms against Dutch elm disease – are the associated epiphytes and endophytes affected?", submitted by co-authors to Journal of Fungi. The data were collected to evaluate the potential impact of Dutch Trig ® vaccination treatment on two groups of associated biodiversity in elms (<em>Ulmus</em> species), specifically, epiphytes (mainly lichens) and endophytic fungi, on two sites in Sweden, Stockholm and Gotland. The studies were conducted in spring term of 2022. Epiphyte coverage was assessed visually from four cardinal sites of 17 vaccinated (since 2011) and as many unvaccinated, healthy elms. Endophytic fungi were studied using a culture-dependent approach that results in cultures growing on agar plates. These isolates were assigned to morphotaxa groups (proxy for taxonomic groups) based on morphological traits. The growth rate of each isolate was assessed on a 3-step scale (low, medium or fast growth).</p>
Dataset from web of science about public revenue in Indonesia
<p>This is the dataset of meta-data of papers used for the samples of the study</p>
Dataset publication pending
<p>Dataset publication pending.</p>
Data of publications on environmental reproductive cues and reproductive phenological shifts
<p><span>Males and females often desynchronise their </span><span>mating</span><span> activity during the breeding season (intersexual phenological asynchrony). This suggests that the two sexes differentially use environmental cues to initiate seasonal reproduction, and climate change may cause phenological shifts in a sex-specific manner, subsequently altering frequency distribution of mating attempts over time and influencing the emergence timing and recruitment success of juveniles. In this article, we tested these hypotheses through literature reviews and theoretical modelling. We found that the sex specificity of environmental cues and phenological shifts </span><span>remain</span><span> poorly understood in most sexually reproducing animal taxa because of sex-specific publication bias and data limitations. Meanwhile, our theoretical model predicted that the ecological consequences of phenological shifts are sexually asymmetric, with earlier mating onset of males having generally greater negative effects on population growth than that of females. We therefore suggest that further research is necessary to collect and incorporate sex-specific information on seasonal reproduction into the theory of phenological mismatch, for which previous work has mostly focused on interspecific trophic asynchrony. We also outline a future research agenda to better understand the consequences of sex-specific phenological shifts on seasonal population dynamics and long-term persistence of species.</span></p>
FIGURE 1 in The valid publication of the name Malus leiocalyca (Rosaceae)
FIGURE 1. The holotype of Malus leiocalyca S.Z. Huang in Ku & Li (1990).
EquiPNAS public data
<p>Protein-DNA and protein-RNA benchmarking test datasets for EquiPNAS</p>
FIGURE 2 in To memory of Daniil Sergeevich Aristov (1979-2022): biography and list of publications
FIGURE 2. Dr Daniil S. Aristov in his laboratory.
FIGURE 1 in To memory of Daniil Sergeevich Aristov (1979-2022): biography and list of publications
FIGURE 1. Dr Daniil S. Aristov (27.1.1979–3.10.2022)
Usage Requirements on Recommender Systems for a Web Platform for Continuing Education in Public Transport in Germany
<p>The dataset contains usage requirements on recommender systems for a web platform for continuing education in public transport in Germany. The underlying data was collected in 28 stakeholder interviews. </p>
Dataset for publication
<p>Dataset including: electrochemical data, SEM data, surface tension, .stl for the labware design. </p>
Main data for the publication "Effects of heat treatments on the microstructure and localized corrosion behaviors of AA7075 aluminum alloy"
<p>This is a dataset of the main results of the article 'Effects of heat treatments on the microstructure and localized corrosion behaviors of AA7075 aluminum alloy'. The aim of this work is to investigate the effects of five different heat treatments on the microstructure and localized corrosion behaviors of AA7075 aluminum alloy. The dataset includes the chemical composition of the η-phase, calculated using JMatPro-v13.1 (as shown in Figure 8 of the article), data for generating the STEM results, and images of the SEM results.</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.