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3,172 results for “Publications”
Data for the publication "Ozone concentration versus Temperature: Atmospheric aging of soot particles"
<p>The repository contains the data for the paper:</p> <p>Friebel, F and Mensah, A. A. Ozone concentration versus Temperature: Atmospheric aging of soot particles, <em>Langmuir </em> <strong>2019</strong>, 35, 45, 14437–14450 <a href="https://doi.org/10.1021/acs.langmuir.9b02372">https://doi.org/10.1021/acs.langmuir.9b02372</a></p>
PERCEIVE The use of social media in EU policy communication and implications for the emergence of a European public sphere
<p>This data set contains the underlying data of the paper “<strong>The use of social media in EU policy communication and implications for the emergence of a European public sphere</strong>”, published by The Journal of Regional Research - Investigaciones Regionales (ISSN: 1695-7253; E-ISSN: 2340-2717) in 2019.</p> <p>Data openly available within this dataset are a subset of the two following data sets, which contains all the relevant data of Work Package 3 and Work Package 5 of PERCEIVE project:</p> <ul> <li>Data set:<strong> “PERCEIVE: WP3: Effectiveness of communication strategies of EU projects” </strong><a href="https://doi.org/10.5281/zenodo.3371133">https://doi.org/10.5281/zenodo.3371133</a></li> <li>Data set:<strong> “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” </strong><a href="https://doi.org/10.5281/zenodo.3371174">https://doi.org/10.5281/zenodo.3371174</a></li> </ul> <p>For the paper we collected Facebook posts referred to EU CP policies. We don’t have the permission to share these data (as they are protected by copyright), but all the sources are described in Deliverable 5.2, which is public (see <a href="http://doi.org/10.6092/unibo/amsacta/5726">http://doi.org/10.6092/unibo/amsacta/5726</a> or <a href="http://doi.org/10.5281/zenodo.1318184">http://doi.org/10.5281/zenodo.1318184</a>). We analyzed the textual content of data to construct a database of discursive topics in Task5.4. Data set includes the results of topic modeling and of a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions. </p>
data for the PCI publication "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations"
<p><strong>Data analyzed int he article "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations", doi </strong> <a href="https://arxiv.org/abs/1902.10240v5">https://arxiv.org/abs/1902.10240v5</a> <strong> doi of the PCI recommandation: </strong>https://doi.org/10.24072/pci.evolbiol.100083</p>
Data for the publication "Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects"
<p>Rare Earth Elements (REE) and yttrium measurements from modern and archaeological oyster shells collected by LA-ICP-MS. This dataset is used in the publication 'Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects'.</p>
Extended Data for Publication "Testing the Spectroscopic Extraction of Suppression of Convective Blueshift"
<p>Efforts to detect low-mass exoplanets using stellar radial velocities (RVs) are currently limited by magnetic photospheric activity. Suppression of convective blueshift is the dominant magnetic contribution to RV variability in low-activity Sun-like stars. Due to convective plasma motions, the magnitude of RV contributions from the suppression of convective blueshift is roughly correlated with the depth of formation of photospheric spectral lines used to compute the RV time series. Meunier et al. (2017), used this relation to demonstrate a method for spectroscopic extraction of the suppression of convective blueshift in order to isolate RV contributions, including planetary RVs, that contribute equally to the timeseries for each spectral line. In this publication, we extract disk-integrated solar RVs from observations over a 2.5 year time span made with the solar telescope integrated with the HARPS-N spectrograph at the Telescopio Nazionale Galileo (La Palma, Canary Islands, Spain). We apply the methods outlined by Meunier et al. (2017) - as part of this analysis, we fit Gaussian line profiles to 765 iron lines measured over 457 exposures.</p> <p>Here, we provide the complete line list (Table 1; Table1_LineList.csv) used in our analysis, and the resulting RVs time series in their entirety (Table 3; Table3_TimeSeries.csv). Wavelengths are given in Angstroms, and RVs in m/s.</p> <p>We also include 4 CSV files with the line fit parameters of each line profile: Each row corresponds to a single exposure time (corresponding to the JDs in Table 3) and each column corresponds to a specific spectral line (with wavelength specified in Table 1).</p> <p>We fit each spectral line to a Gaussian of the form:</p> <p><span class="math-tex">\(f(\lambda) = p_1 - p_2 \exp \left[- {1 \over 2} \left({{\lambda - p_3} \over p_4}\right)^2 \right]\)</span></p> <p>p<sub>1</sub> is the continuum level in arbitrary units (LineProfiles_Continuum.csv)<br> p<sub>2</sub> is the line strength in arbitrary units (LineProfiles_Amplitude.csv)<br> p<sub>3</sub> is the line shift in Angstroms (LineProfiles_Shift.csv)<br> p<sub>4</sub> is the line width in Angstroms (LineProfiles_Width.csv)</p>
Data related to "Effective Publication Strategies in Clinical Research"
<p>Data and supplementary material in support of "Deutz, D.B., Vlachos, E., Drongstrup, D., Dorch, B.F., Wien, C. (2019). Effective Publication Strategies in Clinical Research, PLOS ONE".</p> <p>Content:</p> <p>A README file with details regarding the purpose of the data collection, the setting and methodology and descriptions of the rest of the files, the Python script used to extract publication data from the Scopus API, the interview invitation email, the interview guidelines, the information regarding the interviews, supporting information on raw publication data, two tables as presented at the publication, and the coordinates of a plot.</p>
Supporting Information for Publication "Multi-band study of a bi-directional jet occurred in the upper chromosphere"
<p>This supporting information provides three observational movies from SDO/AIA, SDO/HMI, and IRIS. The evolution of the jet and the evolution of the line-of-sight magnetograms in the corresponding region can be tracked in these movies. The caption of each movie is included in 'AGUSupporting-Information_Movie.pdf'.</p>
ACQDIV database (public)
<p>ACQDIV database (public). See:</p> <p><a href="https://github.com/acqdiv/acqdiv/blob/master/README.md">https://github.com/acqdiv/acqdiv/blob/master/README.md</a></p> <p> </p>
Datasets for the publication "Simulation of snow management in Alpine ski resorts using three different snow models"
<p>Snow model simulation results used for the paper "Simulation of snow management in Alpine ski resorts using three different snow models".</p> <p>The following results are available for each of the nine ski resorts:</p> <ul> <li><em><resort></em>_swe_<em><date></em>.tif or <em><resort></em>_swe.geojson: Spatially distributed SWE outputs for 2016-12-24 and 2017-12-24 in GeoJSON (for the two French resorts) or GeoTIFF (for all other resorts) format. Unit: kg m<sup>-2</sup></li> <li><em><resort></em>_point_depth.csv, <em><resort></em>_point_swe.csv: Time series of snow depth (in m) and SWE (in kg m<sup>-2</sup>) for the respective points of interest. The column names correspond to the snow management configurations as shown in Fig. 5 of the paper.</li> </ul>
Fig. 1 in Are molecular tools clarifying or confusing our understanding of the public health threat from zoonotic enteric protozoa in wildlife?
Fig. 1. Phylogenetic relationships among genotypes of Encephalitozoon cuniculi, Encephalitozoon hellem and Encephalitozoon intestinalis based on: A) partial sequences of internal transcribed spacer gene (ITS), and B) partial sequences of polar tube protein gene (PTP). Numbers at the nodes represent the bootstrap values gaining more than 50% support based on 1000 replications. Phylogenetic trees were inferred by the Neighbour-Joining method with the A) Jukes-Cantor and B) Kimura 2- parameter models in MEGA6 software.
Fig. 2 in Are molecular tools clarifying or confusing our understanding of the public health threat from zoonotic enteric protozoa in wildlife?
Fig. 2. Phylogenetic relationships of the Enterocytozoon bieneusi genotypes identified in cervids. The phylogenetic tree was inferred with a neighbour-joining analysis of the E. bieneusi ITS sequences, based on distances calculated with the Kimura two-parameter model. Bootstrap values> 50% from 1,000 replicates are shown on the nodes. The E. bieneusi-ITS genotypes detected in cervids (more than one isolate) are shown, and those isolates that clustered into the same clade as those considered to be zoonotic are considered to be in Group 1, the "potentially zoonotic group".
Figures 50-57. 50 in The importance of biological collections for public health: The case of the Triatominae collection of the Museum of the Institute of Agricultural Zoology "Francisco Fernández Yépez", Venezuela
Figures 50-57. 50. Male of Triatoma maculata, 51. Female of Triatoma maculata, 52. Male of Triatoma nigromaculata, 53. Female of Triatoma nigromaculata, 54. Male of Triatoma patagonica, 55. Male of Triatoma platensis, 56. Female of Triatoma platensis, 57. Female of Triatoma protracta. Bar: 10 mm.
Figures 43-49.43 in The importance of biological collections for public health: The case of the Triatominae collection of the Museum of the Institute of Agricultural Zoology "Francisco Fernández Yépez", Venezuela
Figures 43-49.43. Female of Triatoma delpontei, 44. Male of Triatoma dimidiata, 45. Female of Triatoma dimidiata, 46. Female of Triatoma eratyrusiformis, 47. Female of Triatoma guasayana, 48. Male of Triatoma infestans, 49. Female of Triatoma infestans. Bar: 10 mm.
Figures 22-28. 22 in The importance of biological collections for public health: The case of the Triatominae collection of the Museum of the Institute of Agricultural Zoology "Francisco Fernández Yépez", Venezuela
Figures 22-28. 22. Male of Triatoma longipennis, 23. Female of Triatoma longipennis, 24. Male of Nesotriatoma confusa, 25. Female of Nesotriatoma confusa, 26. Male of Triatoma picturatus, 27. Male of Triatoma pallidipennis, 28. Female of Triatoma pallidipennis. Bar: 10 mm.
Figures 1-6. 1 in The importance of biological collections for public health: The case of the Triatominae collection of the Museum of the Institute of Agricultural Zoology "Francisco Fernández Yépez", Venezuela
Figures 1-6. 1. Female of Belminus pittieri, 2. Male of Belminus rugulosus, 3. Female of Belminus rugulosus, 4. Female of Cavernicola pilosa, 5. Male Psammolestes arthuri, 6. Female Psammolestes arthuri. Bar: 10 mm.
Figures 7-14. 7 in The importance of biological collections for public health: The case of the Triatominae collection of the Museum of the Institute of Agricultural Zoology "Francisco Fernández Yépez", Venezuela
Figures 7-14. 7. Male of Rhodnius brethesi, 8. Female of Rhodnius brethesi, 9. Male of Rhodnius neglectus, 10. Female of Rhodnius neglectus, 11. Male of Rhodnius neivai, 12. Female of Rhodnius neivai, 13. Fale of Rhodnius pictipes, 14. Female of Rhodnius pictipes. Bar: 10 mm.
A Compiled Archaeobiological Dataset for Central Asia's Chalcolithic through Bronze Age: macrobotanical and zooarchaeological data transcribed, standardized, and summarized from original publications
<p>This dataset contains archaeobotnaical and zooarchaeological data that have been compiled, transcribed, standardized, and summarized from original published data sources. Original data publications are given herein as a List of References (Microsoft Word file). These publications appeared between 1960-2022, presenting data in various formats, in various languages, and in scientific works that included journals, books, and conference proceedings - .</p> <p>Data have been compiled and are given in two Microsoft Excel files, one corresponding to archaeobotanical data and one to zooarchaeological data. On the first tab (worksheet) of each of these files, original publication sources are given in a summarized reference (Author, Year, Table/Figure Number) that corresponds to the full bibliographic reference in the accompanying List of References file. This first tab (worksheet) also summarizes additional information on the archaeological context of each dataset, collection and analysis methods (when reported), and the availabilty of other relevant and/or corresponding datasets. The remaining tabs (worksheets) in each file, organized alphabetically by author last name, tabularize the original data in a standardized format; these data are compiled and transcribed as necessary from the various formatting of original data sources, though they keep the original reported species names, table ordering, and numerical data. In the cases where totals were obviously erroneous or superceded by later or additional analyses, transcription notes have been offered directly in the worksheet.</p> <p>A fair number of these data sources are now out of print, have no digital distribution, and are otherwise difficult to access physically and/or linguistically. Accordingly, the sole aim in compiling these data here is to facilitate their widespread availablity, proper citation, and increased use within the international community of archaeological scientists working in Central Asia in the present day. Other scholars are encouraged to utilize these compiled datasets for foundational regional data and extended analyses, and to add to and expand these datasets going forward.</p>
Source data for the kinetic assays in publication "Deciphering the allosteric regulation of mycobacterial inosine-5′-monophosphate dehydrogenase"
<p>Datasets of enzyme kinetics related to the publication "Deciphering the allosteric regulation of mycobacterial inosine-5′-monophosphate dehydrogenase", published in <em>Nature Communications</em> with DOI: https://doi.org/10.1038/s41467-024-50933-6 </p> <p>Individual files contain raw kinetic reaction data of the mycobacterial IMPDHs (wild type and mutant forms <em>Mycobacterium smegmatis</em> or wild type <em>Mycobacterium tuberculosis</em>) as a function of IMP, NAD+, GTP, ATP, ppGpp and Mg2+ concentration.</p> <p>Individual data sets are presented as time data points of the absorbance at 340 nm in an Excel file with a linked Graphpad graphical link. Detailed experimental conditions are available in the related publication.</p>
Source data for the HDX-MS experiments in publication "Deciphering the allosteric regulation of mycobacterial inosine-5′-monophosphate dehydrogenase"
<p>Dataset of HDX-MS experiments related to the publication "Deciphering the allosteric regulation of mycobacterial inosine-5′-monophosphate dehydrogenase", published in Nature Communications with DOI: https://doi.org/10.1038/s41467-024-50933-6 </p> <p>The differential HDX-MS experiments compare the apo and ligand-bound states of IMPDH from Mycobacterium smegmatis.</p> <p>A description of the dataset is provided in the attached README file: IMPDH_HDX-MS_README.txt.</p> <p>Detailed experimental conditions are available in the related publication.</p>
Video: Creating LOD for Dutch public libraries - WikidataCon, Berlin, 25-26 October 2019
<p><span><strong>English: </strong></span> Directly inspired by a <a href="https://meta.wikimedia.org/w/index.php?title=GLAMTLV2018/Submissions/Don%27t_forget_the_libraries_-_increasing_the_coverage_in_Wikidata&oldid=18551326">lightning talk from GLAM-Wiki 2018</a> I started a project to improve the coverage and visibility of public libraries in the Netherlands on Wikidata.</p> <p>Although there are a number of websites listing all these plusminus 1300 library branches, I was quite surprised to find that none of them provide both structured and openly licensed, let alone linked data, while openness should be at the the core of every library's mission.</p> <p>I decided to solve this problem by adding address and geo data of every public library to Wikidata, hence for the very first time creating a (5-star) linked open data set for this type of library. See <a href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries">https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries</a></p> <p>This enables innovative uses, such as overviews and visualisations of the Dutch public library landscape on organisational, municipal, regional, provincial and national levels.</p> <p>This is of interest not only to Wikipedia and LOD enthousiasts, but also to e.g. policy makers, municipalities, scientists and journalists.</p> <p>In addition, to enable SPARQL generated library image galleries, I have started '1Lib1Photo' (inspired by 1Lib1Ref), an initiatieve to add an openly licensed image of every Dutch public library to Wikimedia Commons.</p> <p><strong>Takeaways</strong></p> <p>As a beginning Wikidatian myself, I hope to show that this type of project is suitable for beginners; adding address and geo infomation to Wikidata is a simple task that any one can do and a great way to learn SPARQL. Despite the simple nature of the inputs, the outputs (maps, image galleries, tables) are very relevant, not only for adding overviews of libraries to Wikipedia, but also for parties outside the Wiki sphere.</p> <p>As this project was directly inspired by work done in Wales by Simon Cobb (<a title="User:Sic19" href="https://commons.wikimedia.org/wiki/User:Sic19">User:Sic19</a>), I in my turn hope to inspire others to start similar projects in other countries.</p> <div> <h2><span></span>Context & presentation</h2> </div> <p><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450">https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450</a></p> <p>The recorded presentation was part of a <a title="d:Wikidata:WikidataCon 2019/Program/Sessions/Libraries panel" href="https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel">panel about Wikidata in libraries</a></p> <p>This presentation (PDF) is also available on <a title="File:Creating LOD for Dutch public libraries - WikidataCon Berlin 25-26 October 2019 Olaf Janssen.pdf" href="https://commons.wikimedia.org/wiki/File:Creating_LOD_for_Dutch_public_libraries_-_WikidataCon_Berlin_25-26_October_2019_Olaf_Janssen.pdf">Wikimedia Commons</a> and on <a href="../records/12568513" rel="nofollow">Zenodo</a>.</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.