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.

1,363

datasets available to search

ShareScore release 0.7.1

Dataset results

1,363 results for “relevance”

Learn how ShareScore rates datasets ↗

zenodo48/100

Curated mode-of-action data and effect concentrations for chemicals relevant for the aquatic environment

Chemicals in the aquatic environment can be harmful to organisms and ecosystems. Knowledge on effect concentrations as well as on mechanisms and modes of interaction with biological molecules and signaling pathways is necessary to perform chemical risk assessment and identify toxic compounds. To this end, we developed criteria and a pipeline for harvesting and summarizing effect concentrations from the US ECOTOX database for the three aquatic species groups algae, crustaceans, and fish and researched the modes of action of more than 3,300 environmentally relevant chemicals in literature and databases. We provide a curated dataset ready to be used for risk assessment based on monitoring data and the first comprehensive collection and categorization of modes of action of environmental chemicals. Authorities, regulators, and scientists can use this data for the grouping of chemicals, the establishment of meaningful assessment groups, and the development of in vitro and in silico approaches for chemical testing and assessment.

openMay 2023View details →

zenodo48/100

Relevance of criteria and indicators for sustainable timber harvesting

For well-founded decisions in sustainable timber harvesting, it is important to know the preferences of the different stakeholders. The concept of sustainable timber harvesting is to incorporate economic, social, and environmental criteria in the selection, execution and assessment of harvesting operations. In a previous study, 33 criteria were identified by forest experts as relevant for evaluating sustainability. To assess the importance of these criteria, an online survey was conducted among Austrian stakeholders between April and May 2023, in which 610 people were invited to participate and which resulted in a response rate of 47%. The survey participants were primarily male (94%), with an average age of 47 and an average of 20 years of work experience. The key criteria for sustainable harvesting that were unanimously mentioned by the stakeholders on the basis of a Likert scale, included occupational hazards, residual stand damage, loss of wood quality due to poor work performance, biomass regeneration, water erosion, noise exposure, soil rutting, physical workload, working conditions, and vibration exposure. These identified preferences will inform the development of a decision support model for sustainable timber harvesting using these criteria as input parameters.

opencc-by-4.0Nov 2024View details →

zenodo48/100

Dataset for the published article "ITER relevant multi-emissive sheaths at normal magnetic field inclination"

The data contained in the zip files constitute the main research data of the publication entitled as "<a href="https://iopscience.iop.org/article/10.1088/1741-4326/acaabd">ITER relevant multi-emissive sheaths at normal magnetic field inclination</a>" [1]. All the datasets constitute post-processed output from the 2D3V SPICE2 Particle-In-Cell (PIC) code. All the PIC simulations have been performed by M. Komm and A. Podolnik. The input is specified by the plasma density, the electron temperature and the surface temperature. The plasma parameters are relevant to partially mitigated ITER edge-localized modes (ELMs). The output concerns the incident plasma current densities, the emitted electron current densities and their standard deviation, the normal wall electrostatic field, the average electron incident energy, the average electron incident angle with respect to the wall normal and the virtual cathode depth.  The assumptions below are followed in all simulations: (i) The Bohm pre-sheath structure is unaltered by the escaping emitted electrons, since the ions are injected at the plasma boundary with a speed distribution satisfying the Bohm criterion. (ii) Irrespective of the emission, the wall is biased with respect to the plasma boundary with a magnitude fixed by the ambipolarity of the plasma fluxes. (iii) The sheath is collisionless. (iv) The wall is perfectly planar. (v) A homogeneous quasi-neutral plasma boundary and an infinite emitting wall with a homogeneous prescribed surface temperature are considered. Sheaths that form between plasma-facing components (PFCs) and standard scrape-off-layer plasmas can be described by the classical model of one-dimensional magnetized multi-positive ion sheaths. There are various conditions that need to be satisfied for this model to be valid such as negligible cross-field drifts, low collisionality and weak electron emission. In contemporary metallic tokamaks, the weak emission condition is violated in the divertor region during intra-ELM as well as inter-ELM periods; thermionic emission being an effective electron emission mechanism from hot tungsten PFCs. As a result of the localized ELM-wetted area, the incident plasma currents can be assumed to remain nearly ambipolar and thus the non-ambipolar current should be equal to the emitted current that escapes to the Bohm pre-sheath. This escaping current density generates a strong volumetric Lorentz force that drives melt layer motion leading to macroscopic PFC erosion. At very elevated surface temperatures, the nominal thermionic current densities are so large that they become incompatible with the classical Bohm pre-sheath structure. As a consequence, space charge accumulation in the sheath leads to the formation of a virtual cathode that limits the escaping thermionic current to a constant value causing the recapture of a fraction of the thermo-electrons. Thus, there is a transition from a monotonic to a non-monotonic potential profile, with the latter known as the space-charge limited (SCL) regime of the emissive sheath. In the case of oblique magnetic field inclination angles, the SCL transition is still realized, but further complications arise due to the suppression of the nominal thermionic current by recapture during Larmor gyration. In contemporary tokamaks, this transition generally occurs at temperatures below the tungsten melting point, thus particular attention has been paid to the SCL sheaths, since they nearly exclusively surround the molten tungsten PFCs. The thermionic emissive sheath in the SCL regime has been thoroughly investigated in our previous works, where an accurate semi-empirical expression for the limited value of the escaping thermionic current as function of the plasma conditions and magnetic field inclination angle was constructed on the basis of systematic PIC simulations [2-4]. On the other hand, during ITER intra-ELM periods, the predicted elevated electron temperatures and high plasma densities of the pre-sheath edge should have a strong impact on the emissive sheath established above hot tungsten PFCs. In particular, the high plasma electron temperatures could enable significant contributions from electron-induced electron emission (secondary electron emission and electron backscattering), the intense normal surface electrostatic fields indicate that thermionic emission is coupled with field emission (in the Schottky regime) and the strong plasma currents suggest that virtual cathodes are formed at much higher surface temperatures (so that the monotonic potential profile regime is of primary interest for melt motion). In order to explore this novel multi-emissive sheath regime, a a comprehensive tungsten electron emission model has been implemented that features accurate analytical descriptions of the yields, energy and angular distributions for the processes of field-assisted thermionic emission, secondary electron emission and electron backscattering [5]. In the present publication [1], at normal magnetic field inclinations, highly accurate analytical semi-empirical expressions are provided for the secondary electron emission current, electron backscattering current and thermionic current in the monotonic regime as well as for the total escaping current in the SCL regime. These semi-empirical expressions have been benchmarked against comprehensive PIC simulations, whose primary post-processed data are provided herein. [1] P. Tolias, M. Komm, S. Ratynskaia and A. Podolnik, "ITER relevant multi-emissive sheaths at normal magnetic field inclination", Nucl. Fusion 63 (2023) 026007. [2] M. Komm, S. Ratynskaia, P. Tolias, J. Cavalier, R. Dejarnac, J. P. Gunn and A. Podolnik, "On thermionic emission from plasma-facing components in tokamak-relevant conditions", Plasma Phys. Control. Fusion 59 (2017) 094002. [3] M. Komm, P. Tolias, S. Ratynskaia, R. Dejarnac, J. P. Gunn, K. Krieger, A. Podolnik, R. A. Pitts and R. Panek, "Simulations of thermionic suppression during tungsten transient melting experiments", Phys. Scr. T170 (2017) 014069. [4] M. Komm, S. Ratynskaia, P. Tolias and A. Podolnik, "Space-charge limited thermionic sheaths in magnetized fusion plasmas", Nucl. Fusion 60 (2020) 054002. [5] P. Tolias, M. Komm, S. Ratynskaia and A. Podolnik, "Origin and nature of the emissive sheath surrounding hot tungsten tokamak surfaces", Nucl. Mater. Energy 25 (2020) 100818.

opencc-by-4.0Jun 2022View details →

zenodo48/100

Supplemental Material to "Tenacity of Animal Disease Viruses on Wood Surfaces Relevant to Animal Husbandry"

Data set for individual titre reduction of viruses over a period of time in multiple experiments.

opencc-by-4.0May 2024View details →

zenodo48/100

The relevance of signal timing in human-robot collaborative manipulation

Dataset version 1.0.1. The data collected here are attached to the following journal article: F. Cini*, T. Banfi*, G. Ciuti, L. Craighero, M. Controzzi, The relevance of signal timing in human-robot collaborative manipulation. Science Robotics Vol. 6 Issue 58, 2021. DOI: 10.1126/scirobotics.abg1308 To achieve a seamless human-robot collaboration, it is crucial that robots express their intentions without perturbating or interrupting the task that a human partner is performing at that moment. Although it has not received much attention so far, this issue is important when robots assist humans in physical and manipulation tasks. The main question addressed here is whether there is a more appropriate time to inform a human partner that a robot is requesting to pass them an object. This question is posed in a reference scenario where human individuals are involved in a continuous pick-and-place task that cannot be interrupted. Our findings showed that providing a cue at the beginning of a reach-to-grasp movement could severely interfere with the ongoing human action, increasing the number of errors made by humans, slowing down and degrading the smoothness of their arm movement, and deflecting their gaze. These disruptive interferences strongly decreased, until they disappeared, when the robot provided the cue to the human partners shortly after the participants picked up an object, identifying this as the best signaling timing. The results of this work showed how the signaling timing may have a decisive influence on the performances of the human-robot teamwork and contribute to understating the mechanisms underpinning the phenomenon of cognitive-motor interference in humans.

opencc-by-4.0Aug 2021View details →

edi48/100

Arts and humanities in the LTER Network: understanding extent, values, and challenges by assessing the relevance of empathy in the LTER Network, 2013-2014

The Long-term Ecological Research (LTER) Network is a collection of 25 National Science Foundation-funded sites committed to long-term, place-based investigation of the natural world. While activities primarily focus on ecological research, arts and humanities inquiry emerged in 2002 and since then a substantial body of creative work has been produced at LTER-affiliated sites. These art-humanities-science collaborations parallel a wider trend in universities and nonprofits. However, there is little empirical work on the value and effectiveness of this work. After launching a survey in 2013 to assess the values and challenges associated with arts and humanities in the LTER Network, which identified empathy as a meaningful potential outcome of this creative work, we conducted a follow-up analysis to understand: the relevance of empathy in the LTER Network; the role of empathy in bridging arts, humanities, and science collaborations; and the capacity of empathy to connect wider audiences both to LTER science and to the natural world. Our research included phone interviews with representatives from 15 LTER sites and an audience perception survey at an LTER-hosted art show. We found that arts-humanities-science collaborations have great potential to catalyze relationships between scholars, the public, and the natural world; cultivate inspiration and empathy for the natural world; and spark awareness shifts that can enable pro-environmental behavior. Our research demonstrates the potential for art-humanities-science collaborations to facilitate conservation attitudes and action in the Network and beyond.

openCC (other)Oct 2016View details →

zenodo44/100

Eectrochemical immunosensor for the quantification of S100B at clinically relevant levels using a cysteamine modified surface

Datasets analyzed during the work titled "An electrochemical immunosensor for the quantification of S100B at clinically relevant levels using a cysteamine modified surface".

opencc-by-4.0Jan 2021View details →

zenodo44/100

Strongly Enhanced Cooperative Surface Propensity of Atmospherically Relevant Organic Molecular Ions in Aqueous Solution - data

Dataset pertaining to the manuscript "Boosting aerosol surface effects: strongly enhanced cooperative surface propensity of atmospherically relevant organic molecular ions in aqueous solution", published in <a href="https://doi.org/10.5194/acp-25-3503-2025">Atmos. Chem. Phys., 25, 3503–3518, 2025</a>. Using liquid-jet photoelectron spectroscopy, we investigate the surface propensity of various carbonaceous species in aqueous solution. We cover a range of substances relevant to atmospheric climate models. Here we give the data of Fig.s 1-3 of our manuscript in numeric form, and document the underlying photoemission spectra including all relevant metadata. Experimental data are documented in the NeXus format (extension .nxs). For a description see: The NeXus Data Format definition (v2024.02), https://manual.nexusformat.org/index.html NXmpes expansion for FAIRmat data (v.2024.07), https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXmpes.html NXmpes_liquid expansion to NXmpes (v.2024.07), https://fairmat-nfdi.github.io/nexus_definitions/mpes-liquid/classes/contributed_definitions/NXmpes_liquid.html The following files are provided: 'Data Collection_Core.nxs'  -  Photoemission data, core level spectra 'Data Collection_Valence.nxs'  -  Photoemission data, valence spectra Ascii data of figures 1a, 2 and 3: 'Figure 1 data.txt' 'Figure 2 data.txt' 'Figure 3 data.txt' Contact person for questions regarding this data set: Uwe Hergenhahn, uhe@fhi.mpg.de . If you use these data for your scientific work we kindly ask you to send us a copy of your published results. Acknowledgements: We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III, and we would like to thank Moritz Hoesch and his team for assistance in using beamline P04. Beamtime was allocated for proposal I-20220937 EC. Harmanjot Kaur and Bernd Winter acknowledge the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 883759, AQUACHIRAL). Stephan Thürmer acknowledges support from JSPS KAKENHI (grant no. JP20K15229) and ISHIZUE 2024 of Kyoto University. Florian Trinter acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 509471550, Emmy Noether Programme. Florian Trinter and Bernd Winter acknowledge support by the MaxWater initiative of the Max-Planck-Gesellschaft. Olle Björneholm acknowledges support from the Swedish Research Council (VR) through project 2023-04346 and the Swedish Foundation for International Cooperation in Research and Higher Education (STINT) through project 202100-2932. Ricardo Marinho, Joel Pinheiro, and Arnaldo Naves de Brito acknowledge support from the Swedish–Brazilian collaboration STINT-CAPES (process no. 88881.465527/2019-01). Arnaldo Naves de Brito acknowledges support from FAPESP (the São Paulo Research Foundation, process no. 2017/11986-5), Shell and ANP (Brazil’s National Oil, Natural Gas and Biofuels Agency), and CNPq-Brazil (process no. 401581/2016-0). Harmanjot Kaur and Shirin Gholami acknowledge support by the IMPRS for Elementary Processes in Physical Chemistry. Financial support: This research has been supported by the European Research Council, Horizon Europe (grant no. 883759); the Japan Society for the Promotion of Science (grant no. JP20K15229); the Deutsche Forschungsgemeinschaft (grant no. 509471550); the Vetenskapsrådet (grant no. 2023-04346), the Swedish Foundation for International Cooperation in Research and Higher Education (grant no. 202100-2932); the Fundação de Amparo à Pesquisa do Estado de São Paulo (grant no. 2017/11986- 5); and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (grant no. 401581/2016-0). Version history: 1 - initial release 2 - numbering of figures adapted to published version, photoemission data added.

opencc-by-4.0Jul 2024View details →

zenodo44/100

List of Standards with relevance to a DPP-IT-Framework

The ESPR specifies essential requirements for the DPP system in its Articles 9 and 10, and Annex III. Based on these high-level requirements, the EU Commission is mandating the European Standardisation Organisations (ESO’s) to propose harmonized standards for the DPP system based on appropriate existing and new standards corresponding to a number of areas of standardisation. It is requested by the Commission that these standards should be available by the end of 2025. To be in compliance with the data system requirements of the DPP, upcoming DPP solutions will need to comply with the identified standards. One of the objectives of CIRPASS is to contribute to this effort by sharing useful results with standardisation organisations to support their work. To this end, CIRPASS identified an initial list of existing standards relevant for the establishment and operation of a cross-sectoral DPP system. A list of more than 300 standards, organized according to area of standardisation, was elaborated and their relevance for the areas of standardization was graded. Note that the CIRPASS proposal for the DPP System is embedded in the existing infrastructure of our networked society. This means that the architecture itself makes the assumption of the existence of the Internet and the Web with its underlying Common Technical Specifications. Many of the standards listed in this dataset make the same assumption.

opencc-by-4.0Mar 2024View details →

zenodo44/100

Relevance of "Building BioData.pt" indicators identified in ESFRI (E), OECD (O) and RI-PATHS (R) impact assessment frameworks

The relevance of the indicators maintained by the "Building BioData.pt" project was assessed against the objectives of different organizations/initiatives: 1) Strategic objectives of BioData.pt; 2) Objectives of the Portuguese Roadmap for Research Infrastructures; 3) Objectives of ELIXIR; 4) Objectives of EOSC; 5) Sustainable Development Goals of the United Nations.

opencc-by-4.0Jan 2022View details →

zenodo44/100

S2 | STOFFIDENT | HSWT/LfU STOFF-IDENT Database of Water-Relevant Substances

This is the collection associated with list S2 STOFFIDENT HSWT/LfU STOFF-IDENT Database of Water-Relevant Substances on the NORMAN Suspect List Exchange <a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a> The database enables the search for exact masses from target or unknown lists and the automatic use of a Retention Time Index. See: <a href="https://www.lfu.bayern.de/stoffident/#!home">https://www.lfu.bayern.de/stoffident/#!home</a> (single search for free; batch search after free registration). Nov 17 2019 update: added CSV for PubChem upload. Jun 18, 2020 update: fixed synonym for CAS=1245526-82-2 after feedback from PubChem (Jeff). Jan 18, 2022 update: added IUPAC name instead of anakinra & deleted incorrect CAS (reported by Leon)

opencc-by-4.0Sep 2017View details →

zenodo44/100

Spain's marginal electricity mix and its relevance for assessing the environmental performance of installations with variable load or power

This upload contains the Supplementary Information file and the underlying data as Excel-file for the Journal article with the same name. More specifically, it provides time series of the Spanish electricity generation mix for the years 2015-2020 for energy system analysis and the life cycle inventory data for import into openLCA and re-use in combination with the ecoinvent databse (Version 3.7.1). Further details are available on request.

opencc-by-4.0Feb 2022View details →

zenodo44/100

Datasets and results of the paper titled "Are citation networks relevant to explain academic promotions? An empirical analysis of the Italian national scientific qualification"

These are the input datasets and the results of the analyses reported on the paper titled "Are citation networks relevant to explain academic promotions? An empirical analysis of the Italian national scientific qualification". Abstract:  The aim of this paper is to study the role of citation network measures in the assessment of scientific maturity. Referring to the case of the Italian national scientific qualification (ASN), we investigate if there is a relationship between citation network indices and the results of the researchers’ evaluation procedures. In particular, we want to understand if network measures can enhance the prediction accuracy of the results of the evaluation procedures beyond basic performance indices. Moreover, we want to highlight which citation network indices prove to be more relevant in explaining the ASN results, and if quantitative indices used in the citation-based disciplines assessment can replace the citation network measures in non-citation-based disciplines. Data concerning Statistics and Computer Science disciplines are collected from different sources (ASN, Italian Ministry of University and Research, and Scopus) and processed in order to calculate the citation-based measures used in this study. Following, we apply classification models to estimate the effects of network variables. We find that network measures are strongly related to the results of the ASN and significantly improve the explanatory power of the models, especially for the research fields of Statistics. Additionally, citation networks in the specific sub-disciplines are far more relevant than those in the general disciplines. Finally, results show that the citation network measures are not a substitute of the citation-based bibliometric indices. Code The code to collect and process the data used in this paper is available on GitHub at <a href="https://github.com/DigitalDataLab/ASN16-18_CitationNetwork">https://github.com/DigitalDataLab/ASN16-18_CitationNetwork</a>.  Dataset description The files AdjacencyMatrix_01B1.csv, AdjacencyMatrix_09H1.csv, AdjacencyMatrix_13D1.csv, AdjacencyMatrix_13D2.csv and AdjacencyMatrix_13D3.csv are the citation matrices for Italian academics (i.e. ASN candidates and permanent positions in the Italian academic system) in the Recruitment Fields (RFs) 01/B1, 09/H1, 13/D1, 13/D2 and 13/D3, respectively. The files AdjacencyMatrix_CS.csv and AdjacencyMatrix_ST.csv are the citation matrices for the Italian academics in the Computer Science disciplines (i.e. RFs 01/B1 and 09/H1) and the Statistical disciplines (i.e. RFs 13/D1, 13/D2 and 13/D3), respectively. The files CS_01B1_1.csv, CS_09H1_1.csv, ST_13D1_1.csv, ST_13D2_1.csv and ST_13D3_1.csv contain the data used to build the logistic regression models presented in the paper for the Italian academics at the Full Professor (FP) level. The files CS_01B1_2.csv, CS_09H1_2.csv, ST_13D1_2.csv, ST_13D2_2.csv and ST_13D3_2.csv contain the data used to build the logistic regression models presented in the paper for the Italian academics at the Associate Professor (AP) level. The file Codebook.pdf is the codebook of the previous ten files. The file Appendix.pdf contains the final results of the stepwise logistic regressions computed for each level (i.e. Full Professor and Associate Professor) and Recruitment Field in the Computer Science and Statistics disciplines. The file NormalityAssessment.pdf contains the normality assessment of citation network indices.

opencc-by-4.0Jul 2021View details →

zenodo44/100

Dataset of handling noise for "Assessing the relevance of perceptually driven objective metrics in the presence of handling noise"

This dataset contains the handling noise chunks used in [1] under the folders "tapping" and "rustle" and the csv files used to compute the results in section 5 of [1] under the "csv" folder. These chunks have been extracted from seven in-house recordings and twelve of the sixteen recordings from [2]. The twelve recordings from [2] have first been converted from the .wma to the .wav format and resampled from 44100 Hz to 48000 Hz before the extraction of the chunks. The sample rate of the in-house recordings is natively 48000 Hz. [1] Angonin, C., Chourdakis E. T., and Åeng, R. A. "Assessing the relevance of perceptually driven objective metrics in the presence of handling noise", in 152nd Audio Engineering Society Convention, Netherlands, 2022. [2] Kentric, P.  Jackson, I. R., Fazenda, B. M, Cox, T. J., and Li, F. F. "Microphone handling noise: Measurements of perceptual threshold and effects on audio quality." PloS one, 10(10), 2015.

opencc-by-4.0Apr 2022View details →

zenodo44/100

THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE "HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM" AND ITS IMPACTS

Dataset name: asppl_dataset_v2.csv  Version: 2.0  Dataset period: 06/07/2018 - 01/14/2022 Dataset Characteristics: Multivalued  Number of Instances: 8118 Number of Attributes: 9 Missing Values: Yes Area(s): Health and education  Sources:  <ul> <li> Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);  </li> <li> Brazilian Occupational Classification (CBO) (Brasil, 2022b); </li> <li> National Registry of Health Establishments (CNES) (Brasil, 2022c);  </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021). Table 1: Description of AVASUS dataset features.  <table> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> gender  </td> <td> Gender of the course participant.  </td> <td> Categorical.  </td> <td> Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed) </td> </tr> <tr> <td> course_progress </td> <td> Percentage of completion of the course.  </td> <td> Numerical.  </td> <td> Range from 0 to 100. </td> </tr> <tr> <td> course_evaluation </td> <td> A score given to the course by the participant.  </td> <td> Numerical.  </td> <td> 0, 1, 2, 3, 4, 5 or NaN. </td> </tr> <tr> <td> evaluation_commentary </td> <td> Comment made by the participant about the course. </td> <td> Categorical.  </td> <td> Free text or NaN. </td> </tr> <tr> <td> region </td> <td> Brazilian region in which the participant resides. </td> <td> Categorical.  </td> <td> Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South).  </td> </tr> <tr> <td> CNES </td> <td> The CNES code refers to the health establishment where the participant works. </td> <td> Numerical.  </td> <td> CNES Code or NaN. </td> </tr> <tr> <td> health_care_level </td> <td> Identification of the health care network level for which the course participant works. </td> <td> Categorical. </td> <td> “ATENCAO PRIMARIA”, “MEDIA COMPLEXIDADE”,  “ALTA COMPLEXIDADE”,  and their possible combinations. (In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE")  </td> </tr> <tr> <td> year_enrollment </td> <td> Year in which the course participant registered. </td> <td> Numerical. </td> <td> Year (YYYY). </td> </tr> <tr> <td> CBO </td> <td> Participant occupation. </td> <td> Categorical.  </td> <td> Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”) </td> </tr> </tbody> </table>   Dataset name: prison_syphilis_and_population_brazil.csv Dataset period: 2017 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 13 Missing Values: No Source:  <ul> <li> National Penitentiary Department (DEPEN) (Brasil, 2022d);  </li> </ul> Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. Table 2: Description of DEPEN dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South. </td> </tr> <tr> <td> syphilis_2017 </td> <td> Number of syphilis cases in the prison system in 2017. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2017 </td> <td> Normalized rate of syphilis cases in 2017. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2018 </td> <td> Number of syphilis cases in the prison system in 2018. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2018 </td> <td> Normalized rate of syphilis cases in 2018. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2019 </td> <td> Number of syphilis cases in the prison system in 2019. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2019 </td> <td> Normalized rate of syphilis cases in 2019. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2020 </td> <td> Number of syphilis cases in the prison system in 2020. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2020 </td> <td> Normalized rate of syphilis cases in 2020. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> pop_2017 </td> <td> Prison population in 2017. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2018 </td> <td> Prison population in 2018. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2019 </td> <td> Prison population in 2019. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2020 </td> <td> Prison population in 2020. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> </tbody> </table>   Dataset name: students_cumulative_sum.csv Dataset period: 2018 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 7 Missing Values: No Source:  <ul> <li> Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a); </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate. Table 3: Description of Students dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region of the course participant. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.  </td> </tr> <tr> <td> 2018 </td> <td> Number of students enrolled in the course in 2018. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2018 </td> <td> Standardized rate of students in the course in 2018. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2019 </td> <td> Sum of students enrolled in the course in 2019. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2019 </td> <td> Standardized rate of students in the course in 2019. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2020 </td> <td> Sum of students enrolled in the course in 2020. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2020 </td> <td> Standardized rate of students in the course in 2020. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> </tbody> </table>   Dataset name: syphilis_tests_brazil.csv Dataset period: 2017 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 9 Missing Values: No Source:  <ul> <li> Brazilian Ministry of Health, through the Outpatient Information System of the Brazilian Health System (SIA/SUS) (Brasil, 2022f); </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the syphilis_tests_brazil.csv dataset (see Table 4) originate mainly from the Outpatient Information System of the Brazilian Health System (SIA/SUS). This dataset provides data on the number of tests for syphilis detection by region and year. In addition, it brings a rate that represents the normalized data to compare the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate. Table 4: Description of Syphilis Testes dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region where tests for syphilis were performed. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South. </td> </tr> <tr> <td> 2017 </td> <td> The number of tests for syphilis performed in 2017. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2017 </td> <td> Syphilis testing rate in 2017. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2018 </td> <td> The number of tests for syphilis performed in 2018. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2018 </td> <td> Syphilis testing rate in 2018. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2019 </td> <td> The number of tests for syphilis performed in 2019. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2019 </td> <td> Syphilis testing rate in 2019. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2020 </td> <td> The number of tests for syphilis performed in 2020. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2020 </td> <td> Syphilis testing rate in 2020. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> </tbody> </table>   REFERENCES Brasil (2022a). Ambiente virtual de aprendizagem do sus - avasus. atenção à saúde da pessoa privada de liberdade Available from: <a href="https://avasus.ufrn.br/local/avasplugin/cursos/curso.php?id=114">https://avasus.ufrn.br/local/avasplugin/cursos/curso.php?id=114</a> . Brasil (2022b). Cbo - classificação brasileira de ocupações. Available from: <a href="http://www.mtecbo.gov.br/cbosite/pages/home.jsf">http://www.mtecbo.gov.br/cbosite/pages/home.jsf</a> . Brasil (2022c). Cnes - cadastro nacional de estabelecimentos de saúde. Available from: <a href="http://cnes.datasus.gov.br/">http://cnes.datasus.gov.br/</a> . Brasil (2022d). Departamento penitenciário nacional. levantamento nacional de informações penitenciárias. Available from: <a href="https://www.gov.br/depen/pt-br/servicos/sisdepen">https://www.gov.br/depen/pt-br/servicos/sisdepen</a> . Brasil (2022e). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: <a href="https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?edicao=31451&t=resultados">https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?edicao=31451&t=resultados</a> . Brasil (2022f). Ministério da saúde - sistema de informações ambulatoriais do sus (sia/sus). Available from: <a href="https://datasus.saude.gov.br/acesso-a-informacao/producao-ambulatorial-sia-sus/">https://datasus.saude.gov.br/acesso-a-informacao/producao-ambulatorial-sia-sus/</a> . Valentim, J., Oliveira, E. d. S. G., Valentim, R. A. d. M., Dias-Trindade, S., Dias, A. d. P., Cunha-Oliveira, A., et al. (2021). Data report: “health care of persons deprived of liberty” course from brazil’s unified health system virtual learning environment. Frontiers in Medicine 8. doi:10.3389/fmed.2021.742071.   ARTICLE: THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE “HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM” AND ITS IMPACTS    AUTHORS: Janaína L. R. S. Valentim1,2, Sara Dias-Trindade2,3, Eloiza da S. G. Oliveira1,4, José A. M. Moreira2,5, Felipe Fernandes1, Manoel Honório Romão1, Philippi S. G. de Morais1, Alexandre R. Caitano1, Aline P. Dias1, Carlos A. P. Oliveira1,4,6, Karilany D. Coutinho1, Ricardo B. Ceccim7, Ricardo A. M. Valentim1   1Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil  2Univ Coimbra, Centre for Interdisciplinary Studies, Coimbra, Portugal 3Univ Coimbra, Centre for Interdisciplinary Studies, Faculty of Arts and Humanities, Coimbra, Portugal 4Multidisciplinary Institute for Human Development with Technologies, State University of Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil 5Open University (Universidade Aberta), Department of Education and Distance Learning (DEED), Lisbon, Portugal 6International Council for Open and Distance Education, Oslo, Norway 7Postgraduate Program in Education, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil

opencc-by-4.0Apr 2022View details →

zenodo44/100

Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Literature sources

The spreadsheet in the present dataset (CSV format) includes the sources considered during the literature review stage for the report: From intent to impact: Investigating the effects of open sharing commitments. Please note that not all sources in this deposit have been referenced in the above-mentioned report and that the report may include additional sources

opencc-by-4.0Mar 2022View details →

zenodo44/100

Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Survey responses

The spreadsheets in the present dataset (CSV format) include the anonymised responses to our online survey of signatories of the Joint Statement on open research and data sharing. Responses have been split into quantitative responses (i.e., closed survey questions) and qualitative responses (i.e., free text survey questions). This data has been used to inform our final report, which is available in our <a href="https://zenodo.org/communities/data-sharing-in-public-health-emergencies">Zenodo Project Community</a>.

opencc-by-4.0Jun 2022View details →

zenodo44/100

Sharing research data and findings relevant to the novel coronavirus (COVID-19) outbreak - Thematic coding of qualitative research findings

The spreadsheet in the present dataset (CSV format) includes the anonymised thematic coding that has been applied to our interview and literature review findings to inform the preparation of the report: From intent to impact: Investigating the effects of open sharing commitments. The thematic coding has been applied by using <a href="https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home">NVivo</a>, a professional qualitative analysis software, and then exported in spreadsheet form for public sharing. Find out more about this project in our dedicated <a href="https://zenodo.org/communities/data-sharing-in-public-health-emergencies">Zenodo project community</a>.

opencc-by-4.0Jun 2022View details →

zenodo44/100

Annex 1 – Actions and measures relevant to research integrity matched to the UK Concordat

The present dataset is an Annex to the Discussion Document entitled “<a href="https://doi.org/10.5281/zenodo.6827947">Indicators of Research Integrity: An initial exploration of the landscape, opportunities and challenges</a>”.  It consists in a longlist of actions and measures that organisations may put in place to support research integrity, building on a set of documents that we considered to represent the perspectives of the stakeholder groups mentioned in the UK Concordat to Support Research Integrity, including:  <ul> <li> researchers;   </li> <li> employers of researchers (i.e. bodies that conduct or host research; employ, support or host researchers; teach research students; or allow research to be carried out under their auspices);   </li> <li> research funders; and   </li> <li> other organisations (e.g. professional, statutory and regulatory bodies; academies and learned societies; professional and subject-specific representative bodies; journals and publishers; and organisations offering advice, guidance and support).  </li> </ul> The table below provides an overview of the documents covered in the dataset. It should be noted that our selection of documents is not meant to imply that other efforts are of lesser importance: it is only a starting point for discussion and seeks to represent a breadth of stakeholder views.  <table> <tbody> <tr> <td> Document  </td> <td> Lead  </td> <td> Main perspective(s)  </td> </tr> <tr> <td> <a href="https://ukrio.org/wp-content/uploads/UKRIO-Self-Assessment-Tool-for-The-Concordat-to-Support-Research-Integrity-V2.pdf">UKRIO Self-Assessment Tool for The Concordat to Support Research Integrity</a>  </td> <td> UK Research Integrity Office (UKRIO)  </td> <td> Employers of researchers  </td> </tr> <tr> <td> <a href="https://doi.org/10.1371/journal.pbio.3000737">The Hong Kong Principles for assessing researchers: Fostering research integrity</a>  </td> <td> Moher et al. (academic article)  </td> <td> Researchers, Employers of researchers, Research funders  </td> </tr> <tr> <td> <a href="https://www.vitae.ac.uk/vitae-publications/reports/research-integrity-a-landscape-study">Research integrity: a landscape study</a>  </td> <td> UK Research and Innovation (UKRI), Vitae, UK Research Integrity Office (UKRIO), UK Reproducibility Network (UKRN)  </td> <td> All stakeholders  </td> </tr> <tr> <td> <a href="https://wellcome.org/reports/what-researchers-think-about-research-culture">What Researchers Think About the Culture They Work In</a>  </td> <td> Wellcome  </td> <td> Researchers, Employers of researchers, Research funders  </td> </tr> <tr> <td> <a href="https://www.allea.org/wp-content/uploads/2017/05/ALLEA-European-Code-of-Conduct-for-Research-Integrity-2017.pdf">The European Code of Conduct for Research Integrity</a>  </td> <td> All European Academies (ALLEA)  </td> <td> All stakeholders  </td> </tr> <tr> <td> <a href="http://www.enrio.eu/wp-content/uploads/2019/03/INV-Handbook_ENRIO_web_final.pdf">Handbook on Research Integrity</a>   </td> <td> European Network for Research Ethics and Integrity (ENERI)  </td> <td> Researchers, Employers of researchers, Research funders  </td> </tr> <tr> <td> <a href="https://sops4ri.eu/wp-content/uploads/Guideline-for-Promoting-RI-in-RFOs_final.pdf">Guideline for Promoting Research Integrity in Research Funding Organisations</a>  </td> <td> Standard Operating Procedures for Research Integrity (SOPs4RI)  </td> <td> Research funders  </td> </tr> <tr> <td> <a href="https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/guideline-for-promoting-research-integrity-in-research-performing-organisations_horizon_en.pdf">Guideline for Promoting Research Integrity in Research Performing Organisations</a>  </td> <td> Standard Operating Procedures for Research Integrity (SOPs4RI)  </td> <td> Employers of researchers  </td> </tr> <tr> <td> <a href="https://doi.org/10.24318/cope.2018.1.3">Cooperation between research institutions and journals on research integrity cases: guidance from the Committee on Publication Ethics</a>  </td> <td> Committee on Publication Ethics (COPE)  </td> <td> Publishers and Employers of researchers  </td> </tr> <tr> <td> <a href="https://doi.org/10.24318/cope.2019.1.4">COPE Retraction Guidelines</a>  </td> <td> Committee on Publication Ethics (COPE)  </td> <td> Publishers  </td> </tr> </tbody> </table> Find more outputs of this project in the <a href="https://zenodo.org/communities/research-integrity-indicators/">dedicated Zenodo community</a>.

opencc-by-4.0Jul 2022View details →

zenodo44/100

Stability characterization of microfluidic lipid-stabilized double emulsions under physiologically-relevant conditions

Double emulsions (DEs) are water-in-oil-in-water (or oil-in-water-in-oil) droplets with the potential to deliver combinatory therapies due to their ability to co-localize hydrophilic and hydrophobic molecules in the same carrier. However, DEs are thermodynamically unstable and only kinetically trapped. Extending this transitory state, rendering DEs more stable, would widen the possibilities of real-world applications, yet characterization of their stability in physiologically-relevant conditions is lacking. In this work, we used microfluidics to produce lipid-stabilized DEs with reproducible monodispersity and high encapsulation efficiency. We investigated DE stability under a range of physico-chemical parameters such as temperature, pH and mechanical stimulus. Stability through time was inversely proportional to temperature. DEs were significantly stable up to 8 days at 4 oC, 5 days at RT and 2 days at 37 oC. When encapsulating a cargo, DE stability decreased significantly. When exposed to a pH change, unloaded DEs were only significantly unstable at the extremes (pH 1 and 13), largely outside physiological ranges. When exposed to flow, unloaded DEs behaved similarly regardless of the mechanical stimulus applied, with approximately 70% remaining after 100 flow cycles of 10s. These results indicate that lipid-stabilized DEs produced via microfluidics could be tailored to endure physiologically-relevant conditions and act as carriers for drug delivery. Special attention should be given to the composition of the solutions, e.g. osmolarity ratio between inner and outer solutions, and the interaction of the molecules, e.g. carrier and cargo, involved in the final formulation.

opencc-by-4.0Jul 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record