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761 results for “data journal”
Citations to Astronomy Journals 1: The growth of interdisciplinarity - Data Supplement
<p>This repository contains the data used in the blog "Citations to Astronomy Journals 1: The growth of interdisciplinarity", Michael J. Kurtz and Edwin Henneken. Each file has a header with a description of the data contained in the file. Table 1 consists of the bibstems for the journals in the main sample. Table 2 contains the individual data for each journal in the format journal, indicator, value, year. Table 3 has these data for all refereed journals (including the journals in the main sample, and all the rest). All three data files are ASCII files with space-separated columns.</p> <p>The term "bibstem" is the journal abbreviation used within the Astrophysics Data System. The complete list of bibstems is provided here: http://adsabs.harvard.edu/abs_doc/journals2.html. The bibstem is used in the ADS bibliographic identifier ("bibcode") with the convention that ampersands are replaced by plus signs (see: http://adsabs.github.io/help/actions/bibcode).</p>
Data Suplemen: Analisis Bibliometrik Berkala Ilmiah Names: Journal of Onomastics dan Peluang Riset Onomastik di Indonesia
<p>Dataset ini merupakan kumpulan Gambar dari artikel yang berjudul "Analisis Bibliometrik Berkala Ilmiah Names: Journal of Onomastics dan Peluang Riset Onomastik di Indonesia" yang dikirimkan ke jurnal Aksara. Gambar memuat cuplikan layar dari sumber-sumber kajian onomastik yang dapat diakses secara terbuka yang telah disediakan instansi atau lembaga nasional maupun global seperti:</p> <ul> <li>sumber data nama diri diambil dari SIAK yang dikelola oleh Dinas Kependudukan dan Pencatatan Sipil</li> <li>sumber data nama merek diambil dari pangkalan data <a href="https://pdki-indonesia.dgip.go.id/">DJKI</a> Kemenkumham</li> <li>sumber data nama usaha diambil dari hasil Sensus Ekonomi yang dikelola oleh BPS</li> <li>sumber data nama geografi yang diambil dari <a href="http://tanahair.indonesia.go.id/portal-web/">Ina-Geoportal</a> Badan Informasi Geospasial dan <a href="http://geonames.nga.mil/gns/html/namefiles.html">NGA</a></li> <li>sumber data nama akun media sosial diambil dari <a href="http://twlets.com/">Twlets</a>, <a href="https://www.electoralhq.com/">Electoral</a>, <a href="https://www.scoutzen.com/">Scout Zen</a>, <a href="https://simplymeasured.com/">Simplymeasured</a>, atau <a href="https://www.crowdbabble.com/">crowdbabble</a></li> <li>sumber data nama hewan diambil dari grup komunitas pencinta hewan misalnya <a href="https://web.facebook.com/djaboerscatlovers/?_rdc=1&_rdr">D’Jaboers Community</a> (@djaboerscatlovers)</li> </ul>
Data set supporting journal article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019
<p>This data set contains evapotranspiration data obtained by a conventional eddy covariance set-up and a low-cost eddy covariance set-up as described in the research article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019.</p> <p>The data set contains all necessary data needed to replicate figures and analysis presented in the research article. The data sets are sorted and named according to the figure the data were used for. </p>
Network data for the paper: Intellectual and social similarity among scholarly journals.
<p>Network data used for the analysis contained in Baccini A, Barabesi L, Gingras Y, Kalfaoui M (2019) Intellectual and social similarity among scholarly journals. An exploratory comparison of the networks of editors, authors and co-citations.</p> <p>Data are in .net format for Pajek software</p> <p>CC indicates co-citation network.</p> <p>IA indicated Interlocking authorship network.</p> <p>IE indicates interlocking editorship network.</p> <p>Stat is for statistics; Econ is for economics; ILS is for information and library science.</p> <p> </p> <p> </p>
Data sets for "MELISSA: System description and spectral features of pre‐ and post‐midnight F‐region echoes. Journal of Geophysical Research: Space Physics" by Rodrigues et al.
<p>Observations used in the study "Rodrigues, F. S., Zhan, W., Milla, M. A., Fejer, B. G., de Paula, E. R., Neto, A. C., et al ( 2019). MELISSA: System description and spectral features of pre‐ and post‐midnight <em>F</em>‐region echoes. <em>Journal of Geophysical Research: Space Physics</em>, 124. <a href="https://doi.org/10.1029/2019JA027445">https://doi.org/10.1029/2019JA027445</a>."</p> <p>The uploaded files include the RTI maps measured by the MELISSA radar system between 2014 and 2018 (.tif files). They also include values of SNR versus local time and height and the spectra presented in the manuscript (.mat files).</p> <p>Please, see README.txt for additional details.</p>
Data to reproduce the results presented in Lake et al. 2024. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2024.131930. ("High-frequency spatial sediment source fingerprinting using in situ absorbance data")
<p>This repository contains data on the used absorbance data, measured at the field site, as described in Lake et al., 2024 (<span>h</span><span>t</span><span>t</span><span>p</span><span>s</span><span>:</span><span>/</span><span>/</span><span>d</span><span>o</span><span>i</span><span>.</span><span>o</span><span>r</span><span>g</span><span>/</span><span>1</span><span>0</span><span>.</span><span>1</span><span>0</span><span>1</span><span>6</span><span>/</span><span>j</span><span>.</span><span>j</span><span>h</span><span>y</span><span>d</span><span>r</span><span>o</span><span>l</span><span>.</span><span>2</span><span>0</span><span>2</span><span>4</span><span>.</span><span>1</span><span>3</span><span>1</span><span>9</span><span>3</span><span>0).</span> Furthermore, data on the turbidity, used calibration curves and R code to prepare the input data for the MixSIAR model are included in the data repository.</p>
Appendix Figures A.1 - A.15 of the paper "Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data". This work has been accepted for publication in the journal Astronomy & Astrphysics (A&A) on September 24, 2024.
<p><strong>Figure captions:</strong></p> <p> </p> <p><strong>Fig. A.1.</strong> Heatmap with the number of common stars (true positives) labeled as binary for the five methods used.</p> <p> </p> <p><strong>Fig. A.2.</strong> Heatmap with the number of common stars (true negatives) labeled as single for the five methods used.</p> <p> </p> <p><strong>Fig. A.3.</strong> Color-magnitude diagrams, showing the 2815 stars of our sample from Sect. 3. Colors indicate the label predictions by SOM (left panel) and CNN (right panel).</p> <p> </p> <p><strong>Fig. A.4.</strong> K-S test comparing radial SOM (black) and CNN (blue).</p> <p> </p> <p><strong>Fig. A.5.</strong> Spectra of the star "LAMOSTJ112914.11+471501.7" (blue color) and in the background (gray color) the 35 stars classified as binary by Solano et al. (2022) with VOSA tools.</p> <p> </p> <p><strong>Fig. A.6.</strong> Spectra of the star "HD14829" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.7.</strong> Spectra of the star "Feige98" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.8.</strong> Spectra of the star "PG0304+184" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.9.</strong> Spectra of the star "PG1510+635" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.10.</strong> Cluster 0 of spectra (blue color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.11.</strong> Cluster 4 of spectra (brown color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.12.</strong> Cluster 1 of spectra (yellow color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.13.</strong> Cluster 3 of spectra (red color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.14.</strong> Cluster -1 of spectra (pink color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.15.</strong> Cluster 2 of spectra (green color) with the other spectra in the background (gray color).</p>
Research Data for the Journal Article: Metal-free catalytic systems based on imidazolium chloride and strong bases for selective oxidative esterification of furfural to methyl furoate
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Insertion of CO2 to 2-methyl furoate promoted by a cobalt hypercrosslinked polymer catalyst to obtain a monomer of CO2-based biopolyesters
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Hypercrosslinked porous polymer as catalyst for efficient biodiesel production
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
Data files for: Huston, D.C. et al. 2021. Stable isotope signatures of an acanthocephalan and trematode from the herbivorous marine fish Kyphosus bigibbus (Perciformes: Kyphosidae). Journal of Parasitology. 107: 726–730
<p>Data files for the paper: Huston, D.C. et al. 2021. Stable isotope signatures of an acanthocephalan and trematode from the herbivorous marine fish Kyphosus bigibbus (Perciformes: Kyphosidae). Journal of Parasitology. 107(5) 726–730</p> <p>Includes raw data, .csv files for import of data into R, R script file, and excel spreadsheet file used to create Figure 1.</p>
Use and sharing of raw data in the Journal Citation Reports' Emergency Medicine Category: Metrics and Journals including supplementary material classification sorted by quartile of the JCR emergency medicine category.
<p>Raw data belonged to the study of use and sharing of raw research data in the Journal Citation Reports' Emergency Medicine Category.</p>
Supporting Information for the Journal Article "Quantum Chemical Data Generation as Fill-In for Reliability Enhancement of Machine-Learning Reaction and Retrosynthesis Planning"
<p>This data set contains all data produced when exploring the Williamson ether synthesis starting from iodoethane and phenol.</p> <p><br> The set is structures as follows:</p> <ul> <li>analysis: Contains the script used to analyze the exploration and the output of said script</li> <li>check_barrier: Contains the output of the manual calculations done to check the barrier of the reaction</li> <li>exploration: Contains the scripts used to initialize and carry out the exploration as well as the two starting structures as XYZ files</li> <li>raw_data: a dump of the MongoDB database with all the data produced during the exploration</li> </ul>
Codes and data related to the article: Renard et al. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. Journal of Geophysical Research - Atmospheres.
<p>This package contains R codes and data related to the article:</p> <p>B. Renard, D. McInerney, S. Westra, M. Leonard, D. Kavetski, M. Thyer and J.-P. Vidal. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. <em>Journal of Geophysical Research - Atmospheres</em>. DOI: <a href="https://doi.org/10.1029/2022JD037908">10.1029/2022JD037908</a></p> <p><strong>Analyses</strong></p> <p>This folder contains the R scripts used to set up models, analyse results and prepare figures. See README file for details.</p> <p><strong>ShinyApp</strong></p> <p>This folder contains an interactive Shiny App to explore the data and the results from the article.</p> <p>An online version can be found at <a href="https://hydroapps.recover.inrae.fr/HEGS-paper">https://hydroapps.recover.inrae.fr/HEGS-paper</a></p> <p> </p>
Data for "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."
<p>This is the open data for the preprint "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."</p>
Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PRODUCED
<p>This zipped folders contain all the data produced for the research "Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals": the results datasets (dataset_map_disciplines, dataset_no_SSH, dataset_SSH, erih_meta_with_disciplines and erih_meta_without_disciplines).</p> <ul> <li> <p><strong>dataset_map_disciplines.zip </strong>contains CSV files with four columns ("id", "citing", "cited", "disciplines") giving information about publications stored in OpenCitations META (version 3 released on February 2023) and part of SSH journals, according to ERIH PLUS (version downloaded on 2023-04-27), specifying the disciplines associated to them and a boolean value stating if they cite or are cited, according to the OpenCitations COCI dataset (version 19 released on January 2023).</p> </li> <li> <p><strong>dataset_no_SSH.zip </strong>and <strong>dataset_SSH.zip</strong> contain CSV files with the same structure. Each dataset has four columns: "citing", "is_citing_SSH", "cited", and "is_cited_SSH". ”Citing” and “cited” columns are filled with DOIs of publications stored in OpenCitations META that according to OpenCitations COCI are involved in a citation. The "is_citing_SSH" and "is_cited_SSH" columns contain boolean values: "True" if the corresponding publication is associated with a SSH (Social Sciences and Humanities) discipline, according to ERIH PLUS, and "False" otherwise. The two datasets are built starting from the two different subsets obtained as a result of the union between OpenCitations META and ERIH PLUS: dataset_SSH comes from erih_meta_with_disciplines and dataset_no_SSH from <strong>erih_meta_without_disciplines. </strong>dataset_no_SSH comes from <strong>erih_meta_with_disciplines.zip</strong> and erih_meta_without_disciplines.zip, as explained before, contain CSV files originating from ERIH PLUS and META. erih_meta_without_disciplines has just one column “id” and contains the DOIs of all the publications in META that do not have any discipline associated, that is, have not been published on a SSH journal, while erih_meta_with_disciplines derives from all the publications in META that have at least one linked discipline and has two columns: “id” and “erih_disciplines”, containing a string with all the disciplines linked to that publication like "History, Interdisciplinary research in the Humanities, Interdisciplinary research in the Social Sciences, Sociology".</p> </li> </ul> <p>Software: https://doi.org/10.5281/zenodo.8326023</p> <p>Data preprocessed: https://doi.org/10.5281/zenodo.7973159</p> <p>Article: https://zenodo.org/record/8326044</p> <p>DMP: https://zenodo.org/record/8324973</p> <p>Protocol: https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>
Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PREPROCESSED
<p>This zipped folders contain all the data preprocessed for the research "Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals": the cleaned datasets (coci_preprocessed, meta_preprocessed, erih_preprocessed and erih_meta).</p> <ul> <li> <p><strong>coci_preprocessed.zip</strong>: this archive contains CSVs with two columns “citing” and “cited”, giving information about publications involved in citations according to the OpenCitations COCI dataset (version 19 released on January 2023), and that are entirely contained in OpenCitations META (version 3 released on February 2023). This means that the citations which have either the citing or the cited entity (or both) not contained in META are excluded from coci_preprocessed dataset.</p> </li> <li> <p><strong>meta_preprocessed.zip</strong>: all the original columns of OpenCitations META are maintained in this dataset, so the CSVs have the columns: “id”, “title”, “author”, “issue”, “volume”, “venue”, “page”, “pub_date”, “type”, “publisher” and “editor”. The only difference with the original dataset is that meta_preprocessed in the columns “id” and “venue” has respectively just the DOIs and the ISSNs, without all the other identifiers specified for each entity in META.</p> </li> <li> <p><strong>erih_preprocessed.zip</strong>: it contains a CSV file with two columns "venue_id" and "ERIH_disciplines". "venue_id" is the union of the original columns "Online ISSN" and "Print ISSN" of ERIH_PLUS (version downloaded on 2023-04-27).</p> </li> <li> <p><strong>erih_meta.zip</strong>: it contains CSV files obtained from the union of meta_preprocessed and erih_preprocessed, they have all the columns of meta_preprocessed plus a new column “erih_disciplines” containing all the disciplines linked to a venue (identified by an ISSN).</p> </li> </ul> <p> </p> <p>Software: https://doi.org/10.5281/zenodo.8326023</p> <p>Data produced: https://doi.org/10.5281/zenodo.7974816</p> <p>Article: https://zenodo.org/record/8326044</p> <p>DMP: https://zenodo.org/record/8324973</p> <p>Protocol: https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>
Data set for the journal article: Social life cycle assessment of green methanol and benchmarking against conventional fossil methanol
<p>Single File containing:</p> <ul> <li>Green Methanol Inventories: numerical data as displayed in Figure 4, Main social life cycle inventory data of the green methanol system. </li> <li>Conventional Methanol Inventories: numerical data as displayed in Figure 5, Main social life cycle inventory data of the conventional methanol system. </li> <li>Supplementary information: Diagrams and tables describing teh flowsheet of the simulations used in this work: <ul> <li> <p>Green methanol production process (flowsheet and stream table)</p> </li> <li> <p>Syngas production through Steam Methane Reforming (flowsheet and stream table)</p> </li> <li> <p>Conventional methanol production process (flowsheet and stream table)</p> </li> </ul> </li> </ul>
Data from: Business and publication model of surgical journals: A bibliometric analysis
<p>The dataset contains information about surgical journals included in the SCOPUS database used in our research. The following information is present in the data file:</p> <ol> <li>Title</li> <li>Journal sub-specialty</li> <li>Country Origin</li> <li>Continent</li> <li>SJR</li> <li>Publisher</li> <li>Types of Publisher</li> <li>Publication Model</li> <li>Language</li> </ol>
ScienceDex guides
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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.