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.
3,937
datasets available to search
ShareScore release 0.9.0
Dataset results
3,937 results for “number”
Fig. 7 Scolopocryptops sukuyan n in An unknown segment number in centipedes: a new species of Scolopocryptops (Chilopoda: Scolopendromorpha) from Trinidad with 25 leg-bearing segments
Fig. 7 Scolopocryptops sukuyan n. sp., holotype, AMNH IZ 00357038, Trinidad. Sternite 25, ventral view. Scale bar 1 mm
Fig. 4 Scolopocryptops sukuyan n in An unknown segment number in centipedes: a new species of Scolopocryptops (Chilopoda: Scolopendromorpha) from Trinidad with 25 leg-bearing segments
Fig. 4 Scolopocryptops sukuyan n. sp., holotype, AMNH IZ 00357038, Trinidad. Forcipular coxosternum, ventral view. Scale bar 1 mm
Fig. 1 in An unknown segment number in centipedes: a new species of Scolopocryptops (Chilopoda: Scolopendromorpha) from Trinidad with 25 leg-bearing segments
Fig. 1 Phylogeny of Scolopendromorpha based on Bayesian and maximum likelihood analyses of transcriptomic data (Benavides et al., 2021), with Scolopocryptops sukuyan n. sp. placed on the tree based on previous morphological cladistic analysis of Scolopocryptops (Chagas-Jr., 2008)
Fig. 2 Scolopocryptops sukuyan n in An unknown segment number in centipedes: a new species of Scolopocryptops (Chilopoda: Scolopendromorpha) from Trinidad with 25 leg-bearing segments
Fig. 2 Scolopocryptops sukuyan n. sp., paratype, AMNH IZ 00357039, Trinidad. a Habitus dorsal. b Habitus ventral. Scale bar 5 mm
Scheffe Test Results for Differences in Parents' View on Family's Role in Preventing Gender-Based Violence by Number of Children in the Family
<p><strong><span>Scheffe Test Results for Differences in Parents’ View on </span><span>Family's Role in Preventing Gender-Based Violence</span><span> by Number of Children in the Family</span></strong></p>
Alignment of ITS sequences of Erysiphe specimens from Koelreuteria hosts, with Golovinomyces spp. as outgroup. The scientific names are followed by the respective GenBank accession number.
Open the record for dataset details and reuse information.
FIGURE 4. A–J in A new species of Paspalum, Notata group (Poaceae, Paspaleae), from the Cerrado biome, Brazil: description, chromosome number, and leaf blade anatomy
FIGURE 4. A–J. Transverse sections of the leaf blades of Paspalum species. A–C. P. cerradoense R.C. Oliveira & Valls, Oliveira et al. 2693 (holotype). D–F. P. cromyorhizon Trin. ex Döll, Valls et al. 9668. G–J. P. ionanthum Chase, Valls et al. 14288. A, D, G. Parenchyma in the midrib adaxial region (m) present (A) or absent (D, G) in the midvein region. B, E, I. Colorless cells (cc) under bulliform cells (bc) present (B) or absent (E, I). C, F, J. Fiber fascicle (ff) fills the leaf margin (C) or not (F, I). H. Adaxial leaf side, showing a stoma (arrow). Scales: A. 200 μm; D, G. 100 μm; B–C, E–F, H–J. 50 μm.
FIGURE 3 in A new species of Paspalum, Notata group (Poaceae, Paspaleae), from the Cerrado biome, Brazil: description, chromosome number, and leaf blade anatomy
FIGURE 3. Chromosomes of Paspalum cerradoense R.C. Oliveira & Valls, Oliveira & Fagg 2787 (paratype). Scale: 10 μm.
FIGURE 1. Paspalum cerradoense R.C. Oliveira & Valls. A. Habit. B. Inflorescence.A. Habit. B. Inflorescence. C in A new species of Paspalum, Notata group (Poaceae, Paspaleae), from the Cerrado biome, Brazil: description, chromosome number, and leaf blade anatomy
FIGURE 1. Paspalum cerradoense R.C. Oliveira & Valls. A. Habit. B. Inflorescence.A. Habit. B. Inflorescence. C. Segment of rachis with pedicels. D. Ligule region. E. Upper glume, detail of the subapical teeth in dorsal view. F. Upper glume, ventral view. G. Spikelet, dorsal view, showing upper glume. H. Spikelet, ventral view, showing lower lemma. I. Upper anthecium, ventral view. J. Upper anthecium, dorsal view.
FIGURE 1. Original specimen with the number Lindman A933 in Lectotypification of the name Regnellidium diphyllum (Marsileaceae)
FIGURE 1. Original specimen with the number Lindman A933 (S-05-9090!), selected here as lectotype of Regnellidium diphyllum Lindman. Reproduced with permission of the Herbarium of Swedish Museum of Natural History (S).
FIGURE 1 in Counting counts: revised estimates of numbers of accepted species of flowering plants, seed plants, vascular plants and land plants with a review of other recent estimates
FIGURE 1. Accepted names at species rank as a function of all published species names for selected seed plant families (all published in WCSP).
Number of X posts and game results in Japanese professional baseball
<p>Dataset of number of X (formaly Twitter) posts and game results in Japanese professional baseball league (2018, 2019).</p> <p>Data includes:<br>date<br>number of post<br>word_entropy<br>user_entropy<br>other_team_user_per<br>dammy_win (game result) 1:Win 0:lose</p> <p><br>Sheet names are corresponding to the following team names:<br>Bs: Buffaloes<br>C: Carp<br>D: Dragons<br>E: Eagles<br>F: Fighters<br>G: Giants<br>H: Hawks<br>L: Lions<br>M: Marines<br>S: Swallows<br>T: Tigers<br>YB: Yokohama Baystars</p>
The Carmichael numbers up to 10^21
<p>The Carmichael numbers up to 10^21.</p>
Snow particle number, aerosol concentration and 10 meter windspeed data from MOSAiC, N-ICE, Weddel Sea expeditions and chemistry transport model data (p-TOMCAT) .
<p>The folder contains data for the MOSAiC, N-ICE and Weddell sea expedition for Snow particle counter measurements. Coarse aerosol measurements from the MOSAiC expedition are also included. Simulation data from a chemistry transport model (p-TOMCAT) is also available. This version includes both .mat and .nc files</p>
SPARCS_WP4_Leipzig_City_Number of EV charging points
<p>Number of EV charging points in the city of Leipzig with annually captured data for the period between 2019 and 2024</p>
SPARCS_WP3_Espoo_City_SPARCS-WP3 number of promising solutions for PEDs identified in Espoo
<p>Number of promising solutions for PEDs identified during SPARCS Work Package 3 (WP3) work</p>
SPARCS-WP3_Espoo_City_Total number of vehicles in local transportation
<p>Number of vehicles registered in the Espoo area.</p>
SPARCS-WP3_Espoo_City_Number of electric cars registered in Espoo
<p>Number of fully electric cars that are registered in the Espoo area.</p>
Unraveling the influence of essential climatic factors on the number of tones through an extensive database of languages in China
<h2><strong>Code</strong></h2> <ul> <li><strong>01TextGrid.</strong><strong>p</strong><strong>raat<br></strong>Segment and label the sound files in all folders under the directory</li> <li><strong>02Extract voice quality data.praat<br></strong>Extract voice quality parameters, including jitter, shimmer, HNR, CPP, H1-H2, H1-A1, H1-A2, and H1-A3</li> <li><strong>03Extract pitch data.praat<br></strong>Extract pitch data, including maximum, minimum, range, mean, upper quartile, lower quartile, pitch inter-quartile range, and median absolute deviation</li> <li><strong>04Correlation Analysis and Mantel Test.R<br></strong>Correlation tests between different variables and create correlation plots.</li> <li><strong>05GAMM_Voice quality~Climate factors.R<br></strong>Examine the relationship between climate factors and voice quality</li> <li><strong>06GAMM_Tone ~ Voice quality.R<br></strong>Examine the relationship between voice quality and the number of tones</li> <li><strong>07GAMM_Tone~Climate factors.R<strong><br></strong></strong>Examine the relationship between climate factors and the number of tones</li> <li><strong>08GAMM_Pitch~Climate factors.R<br></strong>Examine the relationship between pitch variation, the number of tones, and climate factors</li> </ul> <h2><strong>Data</strong></h2> <p>All extracted data files are in the data folder.</p> <ul> <li><strong>1525dataset.csv<br></strong>The file includes data for 1,525 language varieties with the following information: geographic location names (column A), linguistic classification and ASJP name information (columns B-E), longitude and latitude and information (columns F-G), number of tones (column H), Pitch information (columns I-J), voice quality information (columns K-R), climate information (columns S-X)</li> <li><strong>Geographical distance.csv<br></strong>The geographic distances between 1,525 language varieties were calculated using the Delaunay-Dijkstra method</li> <li><strong>Language distance.csv<br></strong>The language distances between 1,525 language varieties were calculated using the ASJP method.</li> <li><strong>S</strong><strong>pecifichumiditydif</strong><strong>.csv<br></strong>Specific humidity difference dataset for the locations of 1,525 language varieties</li> <li><strong>Tonedif.csv<br></strong>Tone difference dataset among 1,525 language varieties</li> <li><strong>Voice quality data extracted using different methods.csv<br></strong>Voice quality data for 1,115 dialectal variants, analyzed at both the lexical level and the vowel "a" level. Columns B–I present voice quality parameters extracted from the vowel, while columns J–Q provide data extracted from the lexical items.</li> </ul>
Number of posts with anti-vaccination comments
<p><strong>Skrzypek, Maciej, <span>Number of posts with anti-vaccination comments.</span><br></strong></p> <p><strong>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</strong></p> <p><span> </span></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.