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ShareScore release 0.9.0
Dataset results
56 results for “published papers”
Brazilian papers on Building Information Modeling published until 2021
<p>Characterization of Brazilian research in BIM through articles published in Brazilian journals: PARC Research in Architecture and Construction, Project Management and Technology and Built Environment. It covered articles published until 07/2021.</p> <p>The characterization of the articles is by the fields:<br> ITEM: article number in the survey;<br> JOURNAL: Name of the Brazilian journal between Ambiente Construéido, Gestão & Tecnologia de Projetos and PARC Research in Architecture and Construction;<br> TITLE: Title of the article;<br> YEAR: year of publication;<br> INSTITUTION: name by extension of the Institution of the main author;<br> TYPE OF INSTITUTION: values between Public Education Institution, Private Education Institution, Private Company, State Public Company …;<br> LOCATION: Federative Unit of the main author's institution;<br> USE CATEGORY: chosen from MODEL USE SERIES in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf ;<br> SUBCLASSIFICATION: chosen from MODEL USE in Category II as in https://bimexcellence.org/wp-content/uploads/211in-Model-Uses-Table.pdf;<br> BIBLIOGRAPHIC REFERENCE: ABNT format ;<br> LINK: url to the full article.</p>
A dataset of published journal papers using neural networks for seismological tasks.
<p>This is a dataset of 637 journal papers applying neural networks for various tasks in seismology spanning January 1988 to January 2022. The dataset mainly includes peer reviewed papers and does not contain duplicated works. It follows a hierarchical classification of papers based on seismological tasks (i.e. category, sub_category_I, sub_category_II, task, and sub_task). For each paper following information are provided: 1) first author's last name, 2) publication year, 3) paper's title, 4) journal 's name, 5) machine learning method used, 6) the type of used neural network, 7) the name of neural network architecture, 8) the number of neurons/kernels in each hidden layer, 9) type of training process, i.e. supervised, semi-supervised, etc, 10) input data into the network, 11) output data, 12) data domain, i.e. time, frequency, feature, etc, 13) the type of data used for training, e.g. synthetic or real data, 14) the size of training set, 15) the metrics used to measure the performance, 16) performance scores, 17) the baseline method used for evaluation, and 18) a short note summarizing the paper's objective, its approach, and its significance. </p> <p>An updating version of the dataset can be find from here: https://smousavi05.github.io/dl_seismology/ and here:https://github.com/smousavi05/dl_seismology/tree/main/docs. </p> <p>An updating glossary of seismological tasks and relevant machine learning techniques and papers are provided here: https://smousavi05.gitbook.io/mlseismology/</p>
Kerosene freeze data for paper to be published:
<p>This dataset originates in an oil refinery producing, among other products, kerosene. The freeze point of the kerosene is an important specification. In the paper to be published the authors use data quality assessment methods to define periods of the data suitable for the derivation of an inferential model.</p>
rdemolgen/MNV-test-data: Published version for journal paper.
<p>A BAM file containing five MNVs (Multiple Nucleotide Variants) for the purposes of testing bioinformatics pipelines.</p>
A mapping of keywords from published papers on alien squirrels to biological invasion research themes
<p><strong>Context</strong></p> <p>This dataset was used to produce the worldl and the graphs in the editorial to the research topic <a href="https://www.frontiersin.org/research-topics/29270/ecology-impact-and-management-of-squirrel-invasions"><em>Ecology, impact and management of squirrel invasions</em></a> (La Morgia et al. 2023).</p> <p><strong>Contents of the dataset</strong></p> <p>The dataset contains the keywords of papers since 2000 harvested with a Web of Science search (performed on 29/05/2023) using the advanced search string TS=(invasive squirrel) OR TI=(invasive squirrel) OR AB=(invasive squirrel). We screened the search results, excluding papers irrelevant to alien squirrels, for example, papers on computer science or physiology, medical or other aspects without any bearing to conservation science. To do this, we checked the abstract and keywords of the papers. Out of the 401 initial papers, after this first screening, we kept 217 in this dataset. The keywords of these papers were manually assigned to alien squirrel research topics by the authors of this dataset (using an own categorisation) and then mapped to the seven broad themes of invasive alien species research of <a href="https://doi.org/10.1007/s10530-023-03067-7">Stevenson et al. (2023)</a>: </p> <ol> <li>Ecosystems: topics which discuss a specific region, or biome, or focused on a particular species strongly associated with one ecosystem type;</li> <li>Monitoring: topics regarding all aspects of monitoring, including detection, identification, and distributional mapping;</li> <li>Management and decision-making: topics discussing the management and socio-political aspects of invasion science, such as prevention, control, and policy;</li> <li>Interactions: topics discussing the interactions with native species, or the effects of those interactions</li> <li>Assessing change: topics focused on studying and analysing temporal and ecological change;</li> <li>Traits: topics that explored the characteristics of alien squirrels;</li> <li>Invasion mechanisms: topics discussing dispersal pathways and drivers of spread.</li> </ol> <p><strong>Dataset description</strong></p> <p>Every row (N = 1275) in the comma-separated .csv represents one original keyword with reference to the paper in which that keyword appears and mapped to the research topics on invasive squirrels and the broad themes in invasion biology research. The .csv contains the following fields:</p> <ul> <li>ID: a unique ID assigned to the combination of an original keyword and the corresponding paper harvested from the WoS search</li> <li>original_keyword: the original keywords associated with the paper (WoS search)</li> <li>keyword_topic: categorization of original keywords into topics related to invasive squirrel research by La Morgia et al. (2023)</li> <li>mapped_category: mapping to one of the seven broad themes of invasive alien species research of <a href="https://doi.org/10.1007/s10530-023-03067-7">Stevenson et al. (2023)</a> as listed and described above</li> <li>authors: author(s) of the paper (WoS search)</li> <li>year: publication year of paper (WoS search)</li> <li>title: title of the paper (WoS search)</li> <li>journal: full journal name (WoS search)</li> <li>doi: full doi of the paper (WoS search)</li> </ul> <p><strong>Potential applications of the dataset</strong></p> <p>This dataset can be used to reproduce the graphs in La Morgia et al. (2023) or to perform more in-depth review or analysis of the literature on alien squirrel invasions. For more information and graph code, we refer to <a href="https://github.com/Vale-LaMo/squirrels">this GitHub repository</a>.</p>
Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))
<p>Data for paper titled : Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification (published in Sensors (MDPI))</p>
Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab
<p>Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab</p>
Proportion of Open Access Papers Published in Peer-Reviewed Journals in Austria 2008-2013
<p>In 2014, Archambault et al. published a report which provided data about Open Access publishing for the years 2008-2013 for all countries of the European Research Area (ERA) as well as for Brazil, Canada, Japan and the USA. They differentiated not only by disciplines but also by three OA categories: Golden, Green and a residual category. For the dataset, the data for Austria and the whole area examined has been extracted and modified. The results show above-average rates for Austria in almost all disciplines.</p>
Dataset for the paper "Mental Health and Burnout during Medical School: Longitudinal Evolution and Covariates" published in PLOS ONE (2024)
<p><strong>Full reference of the paper:</strong></p> <p>Carrard V, Berney S, Bourquin C, Ranjbar S, Castelao E, Schlegel K, et al. (2024) Mental health and burnout during medical school: Longitudinal evolution and covariates. PLoS ONE 19(4): e0295100. <a href="https://doi.org/10.1371/journal.pone.0295100">https://doi.org/10.1371/journal.pone.0295100</a></p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in MDPI Electronics 2021
<p>The datasets contain data for the normalization of tactile voltages, the training dataset for the diameter classifier, and data recorded during the experiment related to the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Tactile sensor data interpretation for estimation of wire features,” Electronics, vol. 10, no. 12, art. 1458, June 2021. (DOI: 10.3390/electronics10121458)</p>
REMODEL. WP6. Sensory Systems and Mechatronic Tools. T6-2. Development and optimization of sensory system components. Data related to a paper published in MDPI Machines 2021
<p>The datasets contain the data related to the experiment presented in the publication:</p> <p>A. Cirillo, G. Laudante, and S. Pirozzi, “Proximity sensor for thin wire recognition and manipulation,” Machines, vol. 9, no. 9, art. 188, Sept. 2021. (DOI: 10.3390/machines9090188)</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in IEEE Access 2021
<p>The datasets contain images for the training and testing of algorithms presented in the publication:</p> <p>Cirillo, P., Laudante, G., Pirozzi, S. “Vision-Based Robotic Solution for Wire Insertion with an Assigned Label Orientation” (2021) IEEE Access, 9, art. no. 9490630, pp. 102278-102289. DOI: 10.1109/ACCESS.2021.3098472</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published on RA-L (2022)
<p>The dataset contains data related to the following publication:</p> <p>Costanzo, M., De Maria, G., Natale, C., Russo, A., “Stability and Convergence Analysis of 3D Feature-Based Visual Servoing”, (2022) IEEE Robotics and Automation Letters, pp. 1-8. (DOI: 10.1109/LRA.2022.3211154)</p>
Fig. 1 in A Belated Addition To The Paper: & Avram: "The Lower Cretaceous Ammonite Assemblages In The Dâmbovicioara Region", Published In Acta Palaeontologica Romaniae, 4 (2004), Pp. 331-341 Patrulius
Fig. 1 Geological Map of the Dâmbovicioara Region. Legend: 1, Quaternary (alluvial deposits, terraces, gravelites); 2, the Podu Dâmboviței Sandstone (Upper Albian); the Gura Văii Conglomerate (Upper Apțian); 4-6, the Dâmbovicioara Formation: 4*), Valea Muierii Member (uppermost Hauterivian-lowermost Apțian); 5*), Dealul Sasului Member (uppermost Valanginian-Upper Hauterivian); 6, Cetatea Neamțului Member (Upper Valanginian); 7, the Upper Bajocian-Berriasian-? Lower Valanginian deposits; 8, Crystalline basement; 9, boundary of the Quaternary deposits; 10, lithostratigraphic boundary; 11, fault; 12, gorge; 13, cave; 14 ruins of the "Neamțului" fortress; 15, the "Dealul Sasului" Inn; 16, winter-stable, sheep-fold; 17, routes: a, the Bran-Rucăr highway; b, the old comercial route between Vallachia and Transylvania; c, forest roads and paths (noted when necesary for the location of the sites); 18, fossiliferous sites. *) in 4 and 5: a = interbeds of reefal limestones and breccias.
Capture-recapture histories used in our paper "High long-term survival and asymmetric movements in a reintroduced metapopulation of cinereous vultures" published by Ecosphere
<p>These three datasets correspond to the capture-recapture histories used in the E-surge software (in the HEADED format) for both population models (Capture_recapture_histories_ALPS.txt for the Alps and Capture_recapture_histories_CAUSSES.txt for the Causses) and the metapopulation model (Capture_recapture_histories_METAPOPULATION.txt).</p> <p>Columns descriptor:</p> <ul> <li>H:O1 to H:O25 correspond to each occasion (i.e. year)</li> <li>S: correspond to the sample size (i.e. associated number of animals)</li> <li>RC: correspond to the Right Censoring ( -1 if the animal is removed at the last capture or 0 if no right censoring)</li> <li>$COV:Group correspond to the group to which the individual belongs</li> </ul> <p>Individuals were grouped by age (from the 1<sup>st</sup> year until ≥6<sup>th</sup> years), by release status (wild-born / hacking: released juveniles before fledging / aviary: released immatures, sub-adults or adults), by origin (Causses / Alps) and if a missing ring was replaced. All details for the groups are given in the Appendix B for both population models and in the Appendix C for the metapopulation model.</p>
REMODEL. WP4. Vision-Based Perception. T4-2. Dynamic environment reconstruction. Data related to a paper published on IEEE Access (2022)
<p>Dataset with evaluation results of the paper "Point Cloud Registration With Object-Centric Alignment"; DOI: 10.1109/access.2022.3191352</p>
REMODEL. WP4. Vision-Based Perception. T4-2. Dynamic environment reconstruction. Data related to a paper published on RA-L (2020)
<p>Dataset with evaluation results of the paper "Extrinsic Calibration of an Eye-In-Hand 2D LiDAR Sensor in Unstructured Environments Using ICP" 10.1109/LRA.2020.2965878</p>
Dataset for the paper "The relationship between medical students' empathy, mental health, and burnout: A cross-sectional study" published in Medical Teacher (2022)
<p><strong>Full reference of the paper: </strong></p> <p>Valerie Carrard, Céline Bourquin, Sylvie Berney, Katja Schlegel, Jacques Gaume, Pierre-Alexandre Bart, Martin Preisig, Marianne Schmid Mast & Alexandre Berney (2022): The relationship between medical students’ empathy, mental health, and burnout: A cross-sectional study, Medical Teacher, DOI: <a href="https://doi.org/10.1080/0142159X.2022.2098708">10.1080/0142159X.2022.2098708</a></p>
Dataset for the workshop paper titled "Automating GUI-based Software Testing with GPT-3" published at AIST 2023
<p>The training dataset for the research paper "Automating GUI-based Software Testing with GPT-3" presented at the 3rd International Workshop on Artificial Intelligence in Software Testing (AIST 2023), which was a part of the 16th IEEE International Conference on Software Testing, Verification and Validation (ICST 2023). The dataset contains prompt completion pairs acquired through user interaction with the software and was used to fine-tune the GPT-3 model. The dataset is in the .jsonl format specified by OpenAI.</p>
The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics (Dataset)
<p>This dataset contains the data used to completed the article under peer review:</p> <p>References:<br> Cabezas, A.; Milanés, Y.;Alba, R.; Delgado, A.M. (2023). The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics. (Article under peer review)</p> <p>Institutions: Spain (Universidad Internacional de La Rioja, Universidad Pablo de Olavide, Hospital Universitario Virgen de las Nieves)</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.