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.
131
datasets available to search
ShareScore release 0.9.0
Dataset results
131 results for “queries”
The STRINGS queries to identify documents related to the SDGs (+ country-SDG data)
<div>This page contains three documents related to the work the STRINGS team has developed on mapping research related to the Sustainable Development Goals (SDGs): <br>1. A document explaining the methodology used to create search queries for identifying documents related to SDGs 1-16. <br>2. An Excel file containing the search queries themselves. <br>3. An additional Excel file containing country-SDG level data used in the paper "Countries’ research priorities in relation to the Sustainable Development Goals".<br><br>The procedure for creating SDG queries was developed for the STRINGS project. For both the project and the paper, the procedure to identify SDG-related publications does not rely exclusively on search queries. We apply each SDG query to research areas obtained from a publication-level clustering algorithm, based on direct backward and forward citations. This enables us to select research areas related to SDGs and include all the publications contributing to that area. This approach has several advantages, including the ability to include publications that do not use SDG-related language in their abstract or title but still contribute to SDG-related research. <br><br>For further insights, the platform, data, and thresholds used to understand which research areas are associated with an SDG are openly available <a href="https://public.tableau.com/profile/ed.noyons#!/vizhome/UKStringsSDGtocommunities/Dashboard1">here</a>.<br><br>In the <a href="https://strings.org.uk/">STRINGS report</a>, you can explore applications to map and characterize publications and patents related to the SDGs. <br><br>Additionally, the paper "Countries’ research priorities in relation to the Sustainable Development Goals" provides a country-level analysis of the alignment between research priorities and SDG challenges. </div>
PSemQE: Disambiguating Short Queries Through Personalised Semantic Query Expansion
<p>This repository contains research data associated to the publication "PSemQE: Disambiguating Short Queries Through Personalised Semantic Query Expansion". Included are the experimental results, as well as a knowledge graph of Wikipedia articles and categories.</p> <p>For further details, please see the README.md</p>
Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"
<p>Query dan Perspektif Bloom untuk "Analisis Data Paradise Papers Indonesia Menggunakan Algoritma Strongly Connected Components dan Harmonic Centrality"</p>
A Geospatial Source Selector for Federated GeoSPARQL Querying - Datasets
<p>This dataset comprises of a set of individual RDF files. It contains 3 data layers that cover Austria (namely Administrative data, Snow cover data, and Crop-type data), and each layer is also divided geospatially. Thus, each RDF file contains only one thematic layer and refers to a specific area.</p> <p>This data can be used in the context of experimenting with federated query processors. Thus, if we deploy each RDF file in a separate GeoSPARQL endpoint, we will have a resulting federation of 34 GeoSPARQL source endpoints. The objective of this scenario is to evaluate the effectiveness of a source selection mechanism of a federation engine, and, in particular, if the source selector is aware of the geospatial nature of the source endpoints.</p>
Webis Query Interpretation Corpus 2022 (Webis-QInC-22)
<p><strong>Webis-QInC-22</strong><em> </em></p> <p>The Webis Query Interpretation Corpus 2022 (Webis-QInC-22) contains manually selected explicit entities, implicit entities and entity based interpretations for 3,026 web queries. These web queries were either obtained from existing entity linking datasets or ambiguity queries from various sources.</p>
query_5UJq
<p>The query (<a href="https://w.wiki/5UJq">https://w.wiki/5UJq</a>) was performed on 2022-07-18 and returned 2,887,803 rows.</p> <p>A brief overview is available at <a href="https://adafede.github.io/wd-taxon-names/">https://adafede.github.io/wd-taxon-names/ </a></p>
Integration of Skyline Queries into Spark SQL - Experiment Artifacts
<p>This repository contains the artifacts for the paper "Integration of Skyline Queries into Spark SQL" published at the 2023 EDBT conference. Here, we publish our binaries, benchmark data, queries, and additional scripts used in the experimental evaluation.</p>
SPARQL query for eating establishment
<p>List of the SPARQL queries for eating establishment</p>
Figure A1- snapshot of the SPARQL query result for eateries suitable for groups and that have children menu
<p>snapshot of the SPARQL query result for eateries suitable for groups and that have children's menus. The table of the Image is generated using open source ontology editor Protégé (https://protege.stanford.edu/) </p>
AQL queries and benchmark results from PhD thesis "ANNIS: A graph-based query system for deeply annotated text corpora"
<p>These are the queries, the benchmark results and the evaluation scripts of the thesis "ANNIS: A graph-based query system for deeply annotated text corpora" (Thomas Krause 2018, Humboldt-Universität zu Berlin)</p> <p><strong>diss_2018-01-12_v0.5.0.csv </strong><br> Results of all configurations of executed benchmarks for graphANNIS and also the baseline times of relANNIS.</p> <p><strong>queries.zip</strong><br> Contains folders for each corpus containing all queries used for the benchmark. Each file-name begins with the ID of the query. The extension denotes the type, which can be one of the following:</p> <ul> <li><em>".</em>aql" contains the original AQL (ANNIS query language) query which was collected</li> <li>".json" is JSON representation of the parsed AQL query</li> <li>".count" is the number of matches a query should have</li> <li>".time" is the average time in milliseconds that was needed to execute the query in relANNIS on the benchmark system</li> <li>".corpora" contains the name of the corpus the query belongs to (should be only one corpus and the same as the folder name in the selection of queries in this data set)</li> <li>".relplan" contains the PostgreSQL plan for the query</li> <li>".graphplan" contains the graphANNIS plan for the query</li> </ul> <p><strong>evaluation-scripts.py/evaluation-scripts.ipynb</strong><br> Python scripts to perform the evaluation and generate the images. This are both a Python-file and the original notebook file that can be used with the Jupyter Notebook application.</p> <p><strong>relannis_benchmark_scripts.zip </strong><br> The files in this zip-file can be used to execute the benchmarks in the relANNIS system by piping the into the "annis.sh" command line tool of relANNIS</p>
Deprecated - VAMDC extraction with query token = vald:1e937aca-42f7-403c-8ea3-5a97df96f628:get
<p>Deprecated because the file upload was corrupted</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://vald.astro.uu.se/atoms-12.07/tap/ by doing these queries: (query=select * where ( atomsymbol = 'h' ); ) . The corresponding dataset is versioned on 2018-04-04 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=1ce2c1b9-f4dd-493c-ae3a-a36a9a32cde9. Bibliographic references are: N.N. (2018). {Murphy}, P.~W. (1968). {Transition Probabilities in the Spectra of Ne I, Ar I, and Kr I}. Journal of the Optical Society of America (1917-1983). {Redfors}, A. (1991). {Oscillator strengths for Y III and Zr III in the IUE region}. aap.</p>
Deprecated - VAMDC extraction with query token = vald:bff5bd96-aefe-46b2-85ed-f18fd6f90161:get
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://vald.astro.uu.se/atoms-12.07/tap/ by doing these queries: (query=select * where ( IonCharge = '1' ) ) . The corresponding dataset is versioned on 2018-04-04 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=6609d3b9-0ecd-4cda-9693-8aed0f044d7c. Bibliographic references are: N.N. (2018). {Bridges}, J.~M. (1973). {Arc measurements of Fe II oscillator strengths}. {Ekberg}, J.~O. (1997). {Extended analysis of doubly ionized chromium, Cr III}. physscr. 10.1088/0031-8949/56/2/003 {Kurucz}, R.~L. (1975). None. {Murphy}, P.~W. (1968). {Transition Probabilities in the Spectra of Ne I, Ar I, and Kr I}. Journal of the Optical Society of America (1917-1983). {Redfors}, A. (1991). {Oscillator strengths for Y III and Zr III in the IUE region}. aap. {Smith}, G. (1988). {Oscillator strengths for neutral calcium lines of 2.9 eV excitation}. Journal of Physics B Atomic Molecular Physics. 10.1088/0953-4075/21/16/008 {Theodosiou}, C.~E. (1989). Accurate calculation of the 4p lifetimes of Ca^{ + }. Physical Review A. 10.1103/PhysRevA.39.4880</p>
Deprecated - VAMDC extraction with query token = topbase:9eff7c45-0683-4c41-a74c-15c1685464f8:head
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://topbase.obspm.fr/12.07/vamdc/tap/ by doing these queries: (query=select * where ( atomsymbol = 'li' ); ) . The corresponding dataset is versioned on 2017-01-30 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=5ab8c38a-bdad-4c38-be72-40cbcf015797. Bibliographic references are: N.N. (2018). Peach, G. and Saraph, H. E. and Seaton, M. J. (1988). Atomic data for opacity calculations. IX. The lithium isoelectronic sequence. Journal of Physics B Atomic Molecular Physics. Fernley, J. A. and Seaton, M. J. and Taylor, K. T. (1987). Atomic data for opacity calculations. VII - Energy levels, f values and photoionisation cross sections for He-like ions. Journal of Physics B Atomic Molecular Physics. Seaton, M. J. (1995). . unpublished.</p>
Deprecated - VAMDC extraction with query token = topbase:f5ca4588-1814-427c-b417-040f7fe09029:get
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://topbase.obspm.fr/12.07/vamdc/tap/ by doing these queries: (query=select * where ( IonCharge = '1' ) ) . The corresponding dataset is versioned on 2017-01-30 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=b540b211-ea04-4092-8375-d55fd068f8c7. Bibliographic references are: N.N. (2018). Fernley, J. A. and Hibbert, A. and Kingston, A. E. and Seaton, M. J. (1999). Atomic data for opacity calculations: XXIV. The boron-like sequence. Journal of Physics B Atomic Molecular Physics. Mendoza, C. and Eissner, W. and LeDourneuf, M. and Zeippen, C. J. (1995). Atomic data for opacity calculations. XXIII. The aluminium isoelectronic sequence. Journal of Physics B Atomic Molecular Physics. Hibbert, A. and Scott, M. P. (1994). Atomic data for opacity calculations. XXI. The neon sequence. Journal of Physics B Atomic Molecular Physics. Butler, K. and Mendoza, C. and Zeippen, C. J. (1993). Atomic data for opacity calculations. XIX. The magnesium isoelectronic sequence. Journal of Physics B Atomic Molecular Physics. Tully, John A. and Seaton, Michael J. and Berrington, Keith A. (1990). Atomic data for opacity calculations. XIV - The beryllium sequence. Journal of Physics B Atomic Molecular Physics. Luo, D. and Pradhan, A. K. (1989). Atomic data for opacity calculations. XI - The carbon isoelectronic sequence. Journal of Physics B Atomic Molecular Physics. Luo, D. and Pradhan, A. K. and Saraph, H. E. and Storey, P. J. and Yu, Yan (1989). Atomic data for opacity calculations. X - Oscillator strengths and photoionisation cross sections for O III. Journal of Physics B Atomic Molecular Physics. Peach, G. and Saraph, H. E. and Seaton, M. J. (1988). Atomic data for opacity calculations. IX. The lithium isoelectronic sequence. Journal of Physics B Atomic Molecular Physics. Fernley, J. A. and Seaton, M. J. and Taylor, K. T. (1987). Atomic data for opacity calculations. VII - Energy levels, f values and photoionisation cross sections for He-like ions. Journal of Physics B Atomic Molecular Physics. Seaton, M. J. (1995). . unpublished. Burke, V. M. and Lennon, D. J. (1995). . unpublished. Butler, K. and Zeippen, C.J. (1995). . unpublished. Butler, K. and Zeippen, C.J. (1995). . unpublished. Taylor, K.T. (1995). . unpublished. Butler, K. and Mendoza, C. and Zeippen, C.J. (1995). . unpublished. Storey, P. J. and Taylor, K. T. (1995). . unpublished. Saraph, H. E. and Storey, P. J. (1995). . unpublished.</p>
Deprecated - VAMDC extraction with query token = vald:8402ed6f-b887-4dfb-a5a5-c02c4e3c0ca0:get
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://vald.astro.uu.se/atoms-12.07/tap/ by doing these queries: (query=select * where ( atomsymbol = 'he' and radtranswavelength < 600 and radtranswavelength > 500 ); ) . The corresponding dataset is versioned on 2018-04-04 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=955c9268-d40a-4427-9bea-7b715f978769. Bibliographic references are: N.N. (2018). {Kurucz}, R.~L. (1975). None. {Smith}, G. (1988). {Oscillator strengths for neutral calcium lines of 2.9 eV excitation}. Journal of Physics B Atomic Molecular Physics. 10.1088/0953-4075/21/16/008</p>
Deprecated - VAMDC extraction with query token = starkb:64abe979-6ff1-47ef-bb80-fca200635ae8:head
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://stark-b.obspm.fr/12.07/vamdc/tap/ by doing these queries: (query=select * where ( atomsymbol = 'mg' and ioncharge = 0 and radtranswavelength <= 5200 and radtranswavelength >= 5100 ); ) . The corresponding dataset is versioned on 2017-06-23 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=60ccb3ad-4411-43d1-badd-5e09ee659f39. Bibliographic references are: N.N. (2018). Dimitrijević M.S. and Sahal-Bréchot S. (1994). Stark broadening parameters tables for Mg I lines of interest for Solar and Stellar spectra research. I. Bull. Astron. Belgrade. Dimitrijević M.S. and Sahal-Bréchot S. (1994). Stark broadening parameters tables for Mg I lines of interest for Solar and Stellar spectra research. II. Bull. Astron. Belgrade. Dimitrijević M.S. and Sahal-Bréchot S. (1996). Stark broadening of Mg I solar lines. A&AS. Dimitrijević M.S. and Sahal-Bréchot S. (1998). Electron-impact broadening of Mg II spectral lines for astrophysical and laboratory plasma research. Phys.Scr.. Dimitrijević M. S. and Sahal-Bréchot S. (1994). Stark Broadening Parameter Tables for MG I Lines of Interest for Solar and Stellar Spectra Research. I. Bull. Obs. Astron. Belgrade.</p>
Deprecated - VAMDC extraction with query token = gecasda:d9e14463-b0d6-43a7-98fc-633a5f9df75d:head
<p>Deprecated because the file upload was corrupted.</p> <p>This dataset comes from the VAMDC(Virtual Atomic and Molecular Data Center) node named http://vamdc.icb.cnrs.fr/gecasda/tap/ by doing these queries: (query=select * where ( inchikey in ['quzpnffhzprkjd-aklpvkdbsa-n', 'quzpnffhzprkjd-bjudxgsmsa-n', 'quzpnffhzprkjd-igmarmgpsa-n', 'quzpnffhzprkjd-oiobtwansa-n', 'quzpnffhzprkjd-oubtzvsysa-n'] ); ) . The corresponding dataset is versioned on 1 with the XSAMS 12.07 format. This data is associated with a unique identifier uuid=5c91e7c7-e0c9-474f-b76a-62bff7b38468. Bibliographic references are: N.N. (2018). Boudon,V. and Grigoryan,T. and Philipot,F and Richard,C and Kwabia Tchana,F and Manceron,L. and Rizopoulos,A and Vander Auwera,J and Encrenaz,T (2018). Line positions and intensities for the $ u_3$ band of 5 isotopologues of germane for planetary applications. Journal of Quantitative Spectroscopy and Radiative Transfer.</p>
Deprecated - VAMDC extraction with query token = mecasda:86283556-1a6a-4fd3-b513-de792c32edd4:get
<p>Deprecated because the file upload was corrupted.</p> <p>This is a dataset extracted from http://vamdc.icb.cnrs.fr/mecasda-12.07/tap/ VAMDC node.</p> <p>Query originating this dataset: query=select species;</p> <p>Data source version: 1</p> <p>Data format: XSAMS 12.07</p> <p>Query uuid in VAMDC query store: 9ca8e9a9-b6d7-4f5e-a510-13cb8bf4b759</p>
Deprecated - VAMDC extraction with query token = starkb:3dec15c4-fc5b-4679-aa6a-3244d77436eb:head
<p>Deprecated because the file upload was corrupted.</p> <p>This is a dataset extracted from http://stark-b.obspm.fr/12.07/vamdc/tap/ VAMDC node.</p> <p>Query originating this dataset: query=select * where ( atomsymbol = 'li' and ioncharge = 0 );</p> <p>Data source version: 2017-06-23</p> <p>Data format: XSAMS 12.07</p> <p>Query uuid in VAMDC query store: 17053a9a-e56e-451b-9bd2-8e0cddda0d5d</p>
Pl@ntNet queries 2017-2018 in France
<p>Plant species occurrences of <a href="https://zenodo.org/api/files/6330616a-f895-4f86-9dcb-6213a14846fb/PL_complete.csv">PL_complete.csv</a> come from automatic species identification of pictures produced in 2017-2018 by the smartphone application Pl@ntNet, where users are mainly amators botanists. The automatic identification suggestion have been consistantly done with the Pl@ntNet engine of december 2018. The species label (glc19SpId) is the species with highest probability. The glc19SpId matches a species name (of taxonomic referential Taxref v12) which is given by the auxiliary table <a href="https://zenodo.org/api/files/6330616a-f895-4f86-9dcb-6213a14846fb/taxaName_glc19SpId_InTest.csv">taxaName_glc19SpId_InTest.csv</a>. The identification certainty score (field FirstResPLv2Score) is given with each occurrence. Occurrences have been filtered to be inside the metropolitan French territory and Corsica, and have a geolocation certainty lower than 30 meters.</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.