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.
15,733
datasets available to search
ShareScore release 0.9.0
Dataset results
15,733 results for “article”
Dataset from the EMNLP 2020 article "Modeling the Music Genre Perception across Language-Bound Cultures"
<p>We release the data required to reproduce the experiments from the article <em>Modeling the Music Genre Perception across Language-Bound Cultures</em> presented at the <a href="https://2020.emnlp.org">EMNLP 2020</a> conference.</p> <p>More information about this data and how it should be used in the experiments can be found in the GitHub repository <a href="https://github.com/deezer/CrossCulturalMusicGenrePerception">deezer/CrossCulturalMusicGenrePerception</a>.</p> <p>Please cite our paper if you use the code or data in your work.</p>
Dataset related to the article "Human Cardiac Mesenchymal Stromal Cells From Right and Left Ventricles Display Differences in Number, Function, and Transcriptomic Profile"
<p>This record contains raw data related to the article "Human Cardiac Mesenchymal Stromal Cells From Right and Left Ventricles Display Differences in Number, Function, and Transcriptomic Profile". </p> <p><strong>Background:</strong> Left ventricle (LV) and right ventricle (RV) are characterized by well-known physiological differences, mainly related to their different embryological origin, hemodynamic environment, function, structure, and cellular composition. Nevertheless, scarce information is available about cellular peculiarities between left and right ventricular chambers in physiological and pathological contexts. Cardiac mesenchymal stromal cells (C-MSC) are key cells affecting many functions of the heart. Differential features that distinguish LV from RV C-MSC are still underappreciated.</p> <p><strong>Aim:</strong> To analyze the physiological differential amount, function, and transcriptome of human C-MSC in LV versus (vs.) RV.</p> <p><strong>Methods:</strong> Human cardiac specimens of LV and RV from healthy donors were used for tissue analysis of C-MSC number, and for C-MSC isolation. Paired LV and RV C-MSC were compared as for surface marker expression, cell proliferation/death ratio, migration, differentiation capabilities, and transcriptome profile.</p> <p><strong>Results:</strong> Histological analysis showed a greater percentage of C-MSC in RV vs. LV tissue. Moreover, a higher C-MSC amount was obtained from RV than from LV after isolation procedures. LV and RV C-MSC are characterized by a similar proportion of surface markers. Functional studies revealed comparable cell growth curves in cells from both ventricles. Conversely, LV C-MSC displayed a higher apoptosis rate and RV C-MSC were characterized by a higher migration speed and collagen deposition. Consistently, transcriptome analysis showed that genes related to apoptosis regulation or extracellular matrix organization and integrins were over-expressed in LV and RV, respectively. Besides, we revealed additional pathways specifically associated with LV or RV C-MSC, including energy metabolism, inflammatory response, cardiac conduction, and pluripotency.</p> <p><strong>Conclusion:</strong> Taken together, these results contribute to the functional characterization of RV and LV C-MSC in physiological conditions. This information suggests a possible differential role of the stromal compartment in chamber-specific pathologic scenarios.</p>
Raw data for the article "Synthesis of Thiochromans via [3+3] Annulation of Aminocyclopropanes with Thiophenols"
<p>Raw NMR, MS and IR data for the article "Synthesis of Thiochromans via [3+3] Annulation of Aminocyclopropanes with Thiophenols"</p> <p>published in the Journal Organic Letters: https://pubs.acs.org/doi/10.1021/acs.orglett.0c03528 </p> <p>The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>
Characteristics, utilization and influence of viewpoint articles from the Structured Operational Research and Training Initiative (SORT IT) – 2009-2020
<p><b>Background</b>: The Structured Operational Research and Training Initiative (SORT IT) teaches the practical skills of conducting and publishing operational research (OR) to influence health policy and/or practice. In addition to original research articles, viewpoint articles are also produced and published as secondary outputs of SORT IT courses. We assessed the characteristics, use and influence of viewpoint articles derived from all SORT IT courses.</p> <p><span><b>Methods: </b>This was a cross-sectional study involving all published viewpoint articles derived from the SORT IT courses held between August 2009 and March 2020. Characteristics of these papers were sourced from the papers themselves and from SORT-IT members involved in writing the papers. Data on use were sourced from the metrics provided on the online publishing platforms and from Google Scholar. Influence on policy and practice was self-assessed by the authors of the papers and was performed only for papers deemed to be 'calls for action'. </span></p> <p><b>Results: </b>A total of 41 viewpoint papers were published. Of these, 15 (37%) were 'calls for action'. Thirty-one (76%) were published in open-access journals and the remaining 10 in delayed access journals. In 12 (29%) of the papers, first authors were from low and middle-income countries (LMICs). Twenty-two (54%) of the papers included female authors, but only four (10%) and two (5%) of first and last authors respectively, were female. Only seven (17%) papers had available data regarding online views and downloads. The median citation score for the papers was four (IQR 1-9). Of the 15 'call for action' papers, six influenced OR capacity building, two influenced policy and practice, and three influenced both OR capacity building within SORT IT and policy and practice.</p> <p><b>Conclusion: </b>Viewpoint articles generated during SORT IT courses appear to complement original OR studies and are valued contributors to the dissemination of OR practices in LMICs.</p> <p> </p>
Supplemental data for article: DNA content variation and SNP diversity within a single population of asexual snails
<p>A growing body of research suggests that many clonal populations maintain genetic diversity even without occasional sexual reproduction. The purpose of our study was to document variation in SNP diversity, DNA content, and pathogen susceptibility in clonal lineages of the New Zealand freshwater snail, <em>Potamopyrgus antipodarum</em>. We studied snails that were collected from multiple field sites around a single lake (Lake Alexandrina), as well as isofemale clonal lineages that had been isolated and maintained in the laboratory. We used the KASP method to genotype our samples at 46 nuclear SNP sites, and we used flow cytometry to estimate DNA content. We found high levels of SNP diversity, both in our field samples and in our clonal laboratory lines. We also found evidence of high variation in DNA content among clones, even among clones with identical genotypes across all SNP sites. Controlled pathogen exposures of the laboratory populations revealed variation in susceptibility among distinct clonal genotypes, which was independent of DNA content. Taken together, these results show high levels of diversity among asexual snails, especially for DNA content, and they suggest rapid genome evolution in asexuals.</p>
Dataset from Article "INGe: Intensity-ground motion data set for Italy"
<p><strong>There is a newer version of this record available at <a href="https://zenodo.org/record/4623732#.YMN8ofkzY2w">https://zenodo.org/record/4623732#.YMN8ofkzY2w</a>.</strong></p> <p>An updated and homogeneous earthquake data set for Italy compiled by joining the Italian Macroseismic Database DBMI15 and the Engineering Strong-Motion (ESM) accelerometric data bank. The database has been compiled through an extensive procedure of selection and revision based on two main steps: 1) the removal of several earthquakes in DBMI15 because the data source has been considered to be largely unreliable and 2) the extraction of all the localities reporting intensity data which are located within 3 km from the accelerograph stations that recorded the data.</p> <p><br> The final data set includes 323 recordings from 65 earthquakes and 227 stations in the time span 1972-2016. The events are characterized by magnitudes in the range 4.0-6.9 and depths in the range 0.3-45.0 km.</p> <p><br> Here, we illustrate the data collection and the properties of the database in terms of recording, event and station distributions as well as Mercalli-Cancani-Sieberg (MCS) macroseismic intensity points. Furthermore, we list the most relevant features of engineering interest showing several statistics with reference to the most significant metadata (such as moment magnitude, several distance metrics, style of faulting etc).</p> <p> </p>
Data file associated with the article "The similarity of phonological skills underpinning reading ability in shallow and deep orthographies: a bilingual perspective" published in International the Journal of Bilingual Education and Bilinguialism late 2020/early 2021.
<p>This dataset is the one used in conjunction with the article in the title.</p>
Supplementary materials for "Effect of cesium ions on the mycelium growth and zoospores motility in the oomycete Phytophthora infestans" article
<p>This archive contains supplementary materials for Safonov et al. (2020) article.</p> <p>Each of the three subfolders (series a-c) contains data regarding the corresponding series of zoospore tracking experiments: “video fragments” subfolder with analyzed recordings and “excluded regions” subfolder with ROI-files. ROI-files contain ROIs needed to exclude certain parts of a video frame from analysis (for example, if they contain any debris that can be falsely recognized by the program as a zoospore). Each ROI-file corresponds to its video fragment: for example, “excluded regions control 3 mM a” is a ROI-file for “control 3 mM a”.</p>
Dataset on Article: Multiple stressors determine river ecological status at the European scale: Towards an integrated understanding of river status deterioration
<p>The shape file contains the raw data from the Global Change Biology article "River types, hydrology, riparian land use, nutrients, toxic substances, ecological status, stressor interactions". </p> <p><strong>General Information</strong></p> <p>Name of the dataset: MultipleStress_RiverEcoStatus.shp</p> <p>Type of dataset: vector data (shape file)</p> <p>Number of polygons: 52.847</p> <p>Geographic Coordinate System: GCS_WGS_1984</p> <p> </p> <p><strong>Contact details</strong></p> <p>Metadata / scientific contact person:</p> <p> First, last name: Sebastian Birk</p> <p> Email: <a href="mailto:sebastian.birk@uni-due.de">sebastian.birk@uni-due.de</a></p> <p> Institution: University of Duisburg-Essen, Faculty of Biology, Institute of Aquatic Ecology</p> <p> Address: Universitätsstrasse 5</p> <p> Postal code, city: 45141 Essen</p> <p> Country: Germany</p> <p> Web address: <a href="https://www.uni-due.de/aquatic_ecology/">https://www.uni-due.de/aquatic_ecology/</a></p> <p><strong>Attribute description</strong></p> <p><strong>m_zhyd_1</strong></p> <ul> <li>Unique identifier of FEC (Functional Elementary Catchment)</li> <li>Data structure: character</li> </ul> <p><strong>mars_bt12</strong></p> <ul> <li>Broad river type aggregated</li> <li>Data structure: character</li> </ul> <p><strong>eco_stat_2</strong></p> <ul> <li>Ecological status (class)</li> <li>Data structure: character</li> </ul> <p><strong>eco_stat_n</strong></p> <ul> <li>Ecological status (numeric class)</li> <li>Data structure: integer</li> </ul> <p><strong>LoadTPArea</strong></p> <ul> <li>Total phosphorous riverine loading (unit: kg km<sup>-2</sup> a<sup>-1</sup>)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>LoadTN_Are</strong></p> <ul> <li>Total nitrogen riverine loading (unit: kg ha<sup>-1</sup> a<sup>-1</sup>)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>lu_r_urb</strong></p> <ul> <li>Percent urban land use in the riparian zone</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>lu_r_agr</strong></p> <ul> <li>Percent agricultural land use in the riparian zone</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>hy_maf_abs</strong></p> <ul> <li>Alteration of mean annual flow (ratio scale)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>hy_bfi_abs</strong></p> <ul> <li>Alteration of base flow (ratio scale)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>msPAFP5EC5</strong></p> <ul> <li>Multi-substance Potentially Affected Fraction of species (msPAF-EC<sub>50</sub> based on 95<sup>th</sup> percentile)</li> <li>Decimal separator: comma</li> <li>Data structure: double</li> </ul> <p><strong>Further information</strong></p> <p>For more details on the dataset, see</p> <p>(Manuscript accepted, wating for publication at the moment)<br> </p> <p><strong>Acknowledgements</strong></p> <p>This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress), funded by the European Union under the 7th Framework Programme, contract no. 603378.</p>
Raw data and Figures for the article "Strain Wave Pathway to Semiconductor-to-Metal Transition Revealed by Time Resolved X-ray Powder Diffraction"
<p>- Raw data from Jungfrau Integrating pixel detector (together with azimuthally averaged curves)</p> <p>- Script to create time resolved data from raw data</p> <p>- Scripts to generates main figures of the article.</p>
FIG. 3 in Article 23.9 of the Code cannot be used to reject the nomen Hyla quoyi Bory de Saint-Vincent, 1828 as a nomen oblitum
FIG. 3. — Colour plate of holophoront (holotype) of Hyla gaimardi Bory de Saint- Vincent, 1828. Plate 125 of Bory de Saint-Vincent (1831) first published in Bory de Saint Vincent (1828a) as plate 3 of part 13 of plates. https://www.archive. org/download/b21301141_0016/page/n404_w497
FIG. 4 in Article 23.9 of the Code cannot be used to reject the nomen Hyla quoyi Bory de Saint-Vincent, 1828 as a nomen oblitum
FIG. 4. — Neophoront (neotype) of Hyla fulva Quoy & Gaimard,1824 and Hyla gaimardi Bory de Saint-Vincent, 1828, MNHN-RA-0.4622, adult female (SVL 96.1 mm) collected by Gaudichaud in Rio de Janeiro (Brasil) in 1831-1832. A, dorsal view; B, lateral view of head; C, ventral view. Scale bar: 50 mm.
Supporting data for the article 'Three-years monitoring of roadkills trends in a road adjacent to a national park in Panama'
<p><span><span><span><span><span><span><span><span><span><span><span>Roadkill monitoring can provide important information about spatial and temporal trends, including influential factors on the probability of wildlife – collisions. Such data are important for applying mitigation measures that reduce the mortality of species of conservation concern. Unfortunately, road ecology is not a mainstream discipline in some regions of the world and Central America represents one of those cases. I aimed to monitor roadkills in a road next to a national Park in Panama for three years. I examined whether there was variation in the number of roadkills across taxa (birds, mammals and reptiles), year (2017 – 2020), season (dry vs rainy) and whether monthly average precipitation and temperature influenced the probability of roadkill occurrence. Additionally, I performed a spatial analysis to identify roadkill hotspots. Mammals and reptiles were the most common roadkills. Roadkills tended to decrease with increases in temperature and precipitation. A separate analysis of the two most commons roadkills (iguanas and tamanduas) provided similar trends. The spatial analysis helped to identify a hotspot located in a curved section of the road and surrounded by water. This is the first study to examine for any road in Panama - through statistical modeling – factors </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>that may influence the occurrence of roadkill events. The results suggest that vehicle collisions </span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>exert a similar pressure on all taxa and the geometry of the road or distance to the water are also influential. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>These data sets include monthly roadkill counts with average monthly precipitation and temperature during the dry and rainy season, over a period of three years (ALL.DATA). Two separate data sets (IGUANAS and TAMANDUAS) contain data as described for the tab ALL.DATA but only with data for green iguanas (Iguana iguana) and Northern Tamandua (Tamandua mexicana), respectively. For the spatial analysis, the data set COORDINATES show the location of each roadkill event, identified by latitude and longitude, date, taxa, IUCN status, scientific name and common name.</span></span></span></span></span></span></span></span></span></span></span></p>
Journal based analysis of the Open Access Europe PMC articles.
<p>This file shows the 20 most-represented journals that tag data citations in the XML within articles in the Open Access set from Europe PMC (May 2013). Secondly, it shows the 20 most-represented journals according to number of individual articles, demonstrating that the journals that undertake tagging of data citations most frequently are not the same as those that occur most frequently.</p>
Replication package for the article "Combining STPA and BDD for Safety Analysis and Verification in Agile Development: A Controlled Experiment"
<p>This replication package includes all the instruments we used in our experiment. </p>
Machine Learning in the Financial Industry - 189 Articles
Open the record for dataset details and reuse information.
Article data of The Impact of MDR-1 Gene Polymorphism (rs1128503) on Response to Imatinib and nilotinib Treatment in A Sample of Iraqi Chronic Myeloid Leukemia-Chronic Phase Patients
Open the record for dataset details and reuse information.
Article data of The Impact of MDR-1 Gene Polymorphism (rs1128503) on Response to Imatinib and nilotinib Treatment in A Sample of Iraqi Chronic Myeloid Leukemia-Chronic Phase Patients
Open the record for dataset details and reuse information.
Supplementary Materials for the article entitled 'Anti-hiatus tendencies in Spanish: Rate of occurrence and phonetic identification', published in Linguistics
<p>see the publication for details</p>
Data for article entitled 'Quotative uses of Polish similative demonstratives', published in Linguistics
Open the record for dataset details and reuse information.
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.