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.
12,346
datasets available to search
ShareScore release 0.9.0
Dataset results
12,346 results for “derivatives”
FIGURE 9. Family Hydrodromidae, genus Hydrodroma. a.–e. H in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 9. Family Hydrodromidae, genus Hydrodroma. a.–e. H. perreptans (MD 074a); a.–b. female and male Cx-I+II; c.–e. integument papillae in various views–note in e. the underlying hexagonal structure visible upper left; f.–k. H. megalonyx (MD 120a); f.–g. male and female Cx-I+II; h.–k. integument papillae in various views.
FIGURE 5. Family Limnocharidae, Limnochares connexa male. a.–d. I-IV-L-3–5 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 5. Family Limnocharidae, Limnochares connexa male. a.–d. I-IV-L-3–5, claw; e. dorsal sclerites; f. genital field and left Cx-III+IV.
FIGURE 4. Family Limnocharidae, Limnochares connexa female. a in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 4. Family Limnocharidae, Limnochares connexa female. a. coxae and genital field, partial view; b. frontal shield; c. palp; d. gnathosoma.
FIGURE 3 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 3. Family Limnocharidae, genus Limnochares (from Tuzovskij & Gerecke 2009). a. L. crinita III-L, claw; b. L. simulans III-L; c.–e. L. fasta; c. frontal plate; d. Cx-III/IV; e. palp.
FIGURE 7 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 7. Family Hydrachnidae, genus Hydrachna (a.–b., k.–l. from Koenike 1898, f., m. from Gerecke 2004, g.–i. from Lundblad 1946). a.–b. H. signata genital fields; a. male; b. female; c.–e. H. fissigera male; c. coxae and genital field; d. genital plate at higher magnification; e. palp; f. H. amplexa male frontal shield; g.–i. H. madagascariensis male; g. frontal area; h. gnathosoma with palp; i. Cx-IV; k.-l. H. propinqua deutonymph; k. Cx-III+IV and right genital sclerite; l. palp; m. H. mirifica male chelicera.
FIGURE 6 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 6. Family Limnocharidae, genus Neolimnochares (a.–b. from K. Viets 1914, c.–h. from Gerecke & Tuzovskij 2009). a.–b. N. tenuiscutata. a. frontal shield; b. palp; c.–e. N. madagascariensis; c. Cx-I+II, d. gnathosoma; e. palp. f.–h. N. longirostris; f. Cx-I+II; g. gnathosoma; h. palp.
FIGURE 1 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 1. Family Zelandothyadidae, genus Malgasacarus, M. rarus (a.–b. from Gerecke et al. 2017). a. frontal idiosoma; b. gnathosoma and palp; c. chelicera.
FIGURE 31 in The early derivative water mites (Acari: Hydrachnidia, superfamilies Eylaoidea, Hydrachnoidea and Hydryphantoidea) of Madagascar
FIGURE 31. Superfamily Hygrobatoidea (a.–b. after K.O. Viets 1964, modified, c.–d. from Gerecke 2004, e.–f. from Walter 1926, g. from Pešić 2013, h.–i. from Lundblad 1946, k.–l. from Hevers 2012). a.–b. family Limnesiidae, Limnesia scutellata, a. palp, b. venter; c.–d. family Hygrobatidae, Moramangabates pauliani Gerecke, 2004, c. palp, d. venter; e.–f. family Aturidae, Kongsbergia angulata Walter, 1926, e. gnathosoma with palp and chelicera, f. venter; g. family Pontarachnidae, Litarachna madagascariensis Pešić, 2013, male venter; h.–i. family Pionidae, Piona seyrigi Lundblad, 1946; h. venter; i. IV-L-5; k.–l. family Unionicolidae, Unionicola goldschmidti Hevers, 2012; k. Cx-III+IV; l. I-L.
Properties of OB star−black hole systems derived from detailedbinary evolution models
<p>Input files to reproduce the MESA simulations used in <a href="https://arxiv.org/abs/1912.09826">Langer et al. (2020)</a></p> <p>MESA version 8845</p> <p>For instructions, refer to the README.md file included.</p>
Pairwise distance demarcation of species in the family Coronaviridae. a, Diagonal matrix of PPDs of 2,505 viruses clustered according to 49 coronavirus species, 39 established and 10 pending or tentative, and ordered from the most to least populous species, from left to right; green and white, PPDs smaller and larger than the inter-species threshold, respectively. Areas of the green squares along the diagonal are proportional to the virus sampling of the respective species, and virus prototypes of the five most sampled species are specified to the left; asterisks indicate species that include viruses whose intra-species PPDs crossed the inter-species threshold (threshold 'violators'). b, Maximal intra-species PPDs (x axis, linear scale) plotted against virus sampling (y axis, log scale) for 49 species (green dots) of the Coronaviridae. Indicated are the acronyms of virus prototypes of the seven most sampled species. Green and blue plot sections represent intra-species and intra-subgenera PPD ranges. The vertical black line indicates the inter-species threshold. c, Shown are the PDs of non-identical residues (y axis) for four viruses representing three major phylogenetic lineages (clades) of the species Severe acute respiratorysyndrome-related coronavirus (panel b) and all pairs of the 256 viruses of this species ('all pairs'). The PD values were derived from pairwise distances in the MSA that were calculated using an identity matrix. Panels a and b were adopted from the DEmARC v.1.4 output. in The species Severe acute respiratory syndromerelated coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2
Pairwise distance demarcation of species in the family Coronaviridae. a, Diagonal matrix of PPDs of 2,505 viruses clustered according to 49 coronavirus species, 39 established and 10 pending or tentative, and ordered from the most to least populous species, from left to right; green and white, PPDs smaller and larger than the inter-species threshold, respectively. Areas of the green squares along the diagonal are proportional to the virus sampling of the respective species, and virus prototypes of the five most sampled species are specified to the left; asterisks indicate species that include viruses whose intra-species PPDs crossed the inter-species threshold (threshold 'violators'). b, Maximal intra-species PPDs (x axis, linear scale) plotted against virus sampling (y axis, log scale) for 49 species (green dots) of the Coronaviridae. Indicated are the acronyms of virus prototypes of the seven most sampled species. Green and blue plot sections represent intra-species and intra-subgenera PPD ranges. The vertical black line indicates the inter-species threshold. c, Shown are the PDs of non-identical residues (y axis) for four viruses representing three major phylogenetic lineages (clades) of the species Severe acute respiratorysyndrome-related coronavirus (panel b) and all pairs of the 256 viruses of this species ('all pairs'). The PD values were derived from pairwise distances in the MSA that were calculated using an identity matrix. Panels a and b were adopted from the DEmARC v.1.4 output.
2007-2016 Surface Circulation over the Mid Atlantic Bight Continental Shelf derived from a Decade of High Frequency Radar Observations
<p>A decade (2007-2016) of hourly 6 km resolution maps of the surface currents across the Mid Atlantic Bight (MAB) generated by a regional-scale High Frequency Radar network are used to reveal new insights into the spatial patterns of the long term annual and seasonal mean surface flows. Across the 10 year time series, temporal means, inter- and intra-annual variability are used to quantify the variability of spatial surface current patterns from season to season and year to year. The 10-year annual mean surface flows are weaker and mostly cross shelf near the coast, increasing in speed and rotating to more alongshore directions near the shelf break, and increasing in speed and rotating to flow off-shelf in the southern MAB. The annual mean surface current pattern is relatively stable year to year compared to the hourly variations within a year. The ten-year seasonal means exhibit similar current patterns, with winter and summer more cross-shore while spring and fall transitions are more alongshore. Fall and winter mean current speeds are larger and correspond to a time when the mean winds are stronger and cross-shore. Summer mean currents are weakest and correspond to a time when the mean wind opposes the alongshore flow. Again, intra-annual variability is much greater than interannual, with the fall season exhibiting the most interannual variability in the surface current patterns. The extreme fall seasons of 2009 and 2011 are related to extremes in the wind and river discharge events caused by different persistent synoptic meteorological conditions, resulting in more or less rapid fall transitions from stratified summer to well-mixed winter conditions.</p>
Ionospheric Horizontal Correlation Length Derived From IRI-2016 Model Errors
<p>Ionospheric horizontal correlation length based on IRI-2016 model and JPL Global Ionospheric Maps. This metadata can be used for the construction of the covariance matrix for ionospheric data assimilation.</p> <p>each .nc file corresponds to one bin. </p> <p>Binning in season (winter, summer, equinox):</p> <p>00=month 1,2,11,12<br> 01=month 5,6,7,8<br> 02=month 3,4,9,10<br> <br> Binning in F10.7 solar flux (low, moderate, high):</p> <p>00=0-100 s.f.u<br> 01=100-150 s.f.u.<br> 02=150-350 s.f.u. <br> <br> Binning in UT: 2-h frames. </p> <p>Example: <br> The name of the .nc file: <br> Corr_Length_IRI_seazon_01_sf_00_UT_18.nc <br> would correspond to summer season, low solar flux, 18-20 UT. </p> <p>Inside of the .nc files:</p> <p>longitudes=array of geomagnetic longitudes (degrees)<br> latitudes=array of geomagnetic latitudes (degrees)<br> zonal_corr_length=array of size (nlon, nlat), is a map of zonal correlation lengths<br> merid_corr_length=array of size (nlon, nlat), is a map of meridional correlation lengths<br> L_4d=array of size (nlon, nlat, 4), is a map of correlation lengths in 4 perpendicular azimuthal directions; 0=0 deg, 1=90 deg, 2=180 deg, 3=-90 deg<br> L_az=array of size (nlon, nlat, 36), is a map of correlation lengths in 36 azimuthal directions (0,10,20,30,...,350 deg)<br> </p>
CLDF dataset derived from Tang and Her's "Quantitative typological data on classifiers and plural markers" from 2019
<p>Cite the source of the dataset as:</p> <blockquote> <p>Tang, Marc and One-Soon Her. 2019. Insights on the Greenberg-Sanches-Slobin Generalization: Quantitative typological data on classifiers and plural markers. Folia Linguistica, 53(2): 297-331. https://doi.org/10.1515/flin-2019-2013</p> </blockquote>
An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain
<p>Fischer 344 MRI atlas as described in Scientific Reports <a href="https://www.nature.com/articles/s41598-020-63965-x">https://www.nature.com/articles/s41598-020-63965-x</a></p> <p>---------------------------version 4 changes---------------------------</p> <p>- added minc header in label.mnc files to include cosines (courtesy of Dr. Eduardo A. Garza-Villarreal)</p> <p>-adjusted file name conventions to be compatible with MAGeT brain atlas library requirements</p>
Neural priming of adipose-derived stem cells by cell-imprinted substrates
<p>Raw data and figure evaluation scripts for the manuscript <strong>Neural Priming of Adipose-Derived Stem Cells by Cell-Imprinted Substrates</strong></p>
Datasets for reproduction of simulation study results presented in article "Network Aggregation to Enhance Results Derived from Multiple Analytics"
<p>The included datasets can be used to reproduce the simulation study results presented in the paper:<br> Duroux D., Climente-González H., Wienbrandt L., Van Steen K. (2020) Network Aggregation to Enhance Results Derived from Multiple Analytics. In: Maglogiannis I., Iliadis L., Pimenidis E. (eds) Artificial Intelligence Applications and Innovations. AIAI 2020. IFIP Advances in Information and Communication Technology, vol 583. Springer, Cham.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.</p>
From smart apes to human brain boxes. A uniquely derived brain shape in late hominins clade: supplementary material
<p>DATA.rda: an RData file containing the phylogenetic tree, the landmark and semilandmark sets used in the analyses of the endocast shape (123 specimens), the semilandmark sets used in the asymmetry analyses (120 specimens), the vector of the corresponding ECV values and a mesh containing the triangulated semilandmark configuration.</p> <p>script.R: the annotated script used to replicate the analyses reported in this study.</p>
FIGURE 1. Bayesian inference tree derived from the cyt b in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 1. Bayesian inference tree derived from the cyt b gene for nine species of Vanmanenia. Nodal numbers are posterior probability values larger than 50%.
Data of tangential wind speed of Typhoon Trami (2018) derived by Tsujino et al. (2021)
<p>Time series data of tangential wind speed in the eye and eyewall of Typhoon Trami (2018) from 0000 UTC 25 to 0600 UTC 27 September 2018, derived by Tsujino et al. (2021) using the data observed by Himawari-8 satellite. More information is also available at <a href="http://wwwoa.ees.hokudai.ac.jp/people/horinouchi-lab/TC/data_en.html">http://wwwoa.ees.hokudai.ac.jp/people/horinouchi-lab/TC/data_en.html</a>.</p>
Data from: Combining derivative and synchronous approaches for simultaneous spectrofluorimetric determination of Terbinafine and Itraconazole.
<p>In this study, determination of terbinafine and itraconazole down to biological concentration level has been carried out. The determination is based on increasing the selectivity of the spectrofluorimetric technique by combining both derivative and synchronous spectrofluorometric approaches which permits successful estimation of terbinafine at 257 and itraconazole at 319 in presence of each other at λ of 60 nm. ICH validation guidelines were followed to fully validate the method, and linearity was obtained for the two drugs over the range of 0.1-0.7 g/mL for terbinafine and 0.5-4.0 g/mL for itraconazole. Application of the method was successfully carried out in the commercial tablets with good agreement with the comparison spectrofluorometric methods. As the detection limits were down to 0.013 and 0.1 g/mL and quantitation limits were 0.04, 0.032 g/mL for terbinafine and itraconazole, respectively; the in-vitro determination of terbinafine and itraconazole in spiked plasma samples was applicable. The percentage recoveries in biological samples were 97.17 ± 4.54 and 98.75 ± 2.25 for Terbinafine and Itraconazole respectively. Water was utilized as the optimum diluting solvent in the proposed methodology which adds an eco-friendly merit.</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.