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.
47,429
datasets available to search
ShareScore release 0.9.0
Dataset results
47,429 results for “5”
FIG. 5 in The Palaeotheriidae (Equoidea, Perissodactyla, Mammalia) from the Eocene fauna of Aumelas (Hérault department, France)
FIG. 5. — Propalaeotherium sudrei Remy, Krasovec & Marandat, 2016:A, AUM 205, right mandible with M/3; A1, occlusal view; A2, labial view;B, AUM 179, left mandible with P/4-M/3 (reversed);B1, occlusal view; B2, labial view;C, AUM 166, right mandible with P/3-M/1-(M/2); C1, occlusal view; C2, labial view; D, AUM 182, left mandibular fragment with (D/3)-D/4-M/1, (reversed), occlusal view; E, AUM 208, left mandible with (alv.P/2-P/3)-P/4-M/1-(M/2)-M/3 (reversed), occlusal view. Scale bars: 2 cm. (Note that the mandible AUM 206 [Remy et al. 2016: fig.3E-F] is now recorded as Propalaeotherium cf. gaudryi (Lemoine, 1878)).
FIG. 5 in New remains of kollpaniine "condylarths" (Panameriungulata) from the early Palaeocene of Bolivia shed light on hypocone origins and molar proportions among ungulate-like placentals
FIG. 5. — Molinodus suarezi: partial maxilla (MHNC 13870): A, occlusal view; B, lingual view. Scale bar: 5 mm.
Figure 5 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 5. Different stages of development of Poecilocloeus coffeaphilus n. sp. A) First instar. B) Second instar. C) Third instar. D) Fourth instar. E) Fifth instar. F) Sixth instar. G) Adult male. H) Adult female.
Figure 5. Pupal cone curvature differences between Colorado A in A review of three species-level taxa of the Anthocharis sara complex (Lepidoptera: Pieridae: Pierinae: Anthocharidini)
Figure 5. Pupal cone curvature differences between Colorado A. julia prestonorum (Garfield County) and A. thoosa colorado (Montezuma County).
Figure 5 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 5. Metrichia calla sp. n., male genitalia. A) Segments IX–X, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segment IX, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Fig. 5 in Four new species and new records of Manota (Diptera: Mycetophilidae) from Sulawesi, Indonesia
Fig. 5. Manota paulula Hippa & Ševčík, 2013 (North Sulawesi). A – hypopygium, dorsal view; B – hypopygium, ventral view; C – hypoproct and aedeagus, ventral view. Scale 0.10 mm.
Figs 5–22 in A revision of the types of Heteroptera species described by Géza Horváth based on specimens from collections of Ladislav Duda and Emil Holub
Figs 5–22. Habitus and labels of type specimens. 5–7 – Coranopsis vittata Horváth, 1893, ♀, syntype; 8–11 – Cosmolestes fulvus Horváth, 1893, ♀, holotype; 12–15 – Edocla albipennis Horváth, 1893,, holotype; 16–18 – Harpactor dudae Horváth, 1893 [= Rhynocoris dudae],, syntype; 19–22 – Oncocephalus angustatus Horváth, 1893, ♀, syntype. Scale bars in mm. (Photo: D. Rédei).
FIG. 5. — Cynelos stenos n in A new species of the amphicyonid carnivore Cynelos Jourdan, 1862 from the early Miocene of North America
FIG. 5. — Cynelos stenos n. sp., UNSM 44723, Runningwater Formation, Runningwater Quarry (early Hemingfordian), Box Butte Co., Nebraska. Right and left associated mandibles. Scale bar: 5 cm.
Figure 5. Luctithonus species. a in New genera, species, and records of Acanthocinini (Coleoptera: Cerambycidae: Lamiinae) from Hispaniola
Figure 5. Luctithonus species. a) L. aski Lingafelter, new species, holotype male. b) L. aski Lingafelter, new species, paratype female. c) L. pantherinus (Zayas), d) L. pantherinus (Zayas), holotype male. e) L. duartensis Lingafelter, new species, holotype male, dorsal. f) L. duartensis Lingafelter, new species, paratype female, ventral. g) L. duartensis Lingafelter, new species, paratype female, ventral view of sternites.
Fig. 5 in Rediscovery of Andrea's keelback, Hebius andreae (Ziegler & Le, 2006): First country record for Laos and phylogenetic placement
Fig. 5. Location of the Hin Nam No National Protected Area in central Laos, where the new record (star) of Hebius andreae took place, which is located opposite to the type locality in Vietnam, viz. Phong Nha – Ke Bang National Park in Vietnam.
Fig. 5 in Phylogenetic notes on the rare Mediterranean digger wasp Psenulus fulvicornis (Schenck, 1857) (Hymenoptera: Crabronidae) new to Switzerland
Fig. 5. Maximum likelihood tree showing the phylogenetic relationships within Psenulus taxa based on cox1 and the GTR+G substitution model. All bifurcations with bootstrap values below 60% were collapsed. The bold black lines indicate bootstrap of at least 70% and the thick grey bifurcations 60-70%. Both Diodontus minutus (Fabricius, 1793) and Pemphredon lethifer (Shuckard, 1837) sequences root this tree. Specimens are labelled with the sample ID, their GenBank accession number or the Barcode Identification Number of the BOLD System, and the collection site if known (see supplementary Table S1). Six lineages I–VI were found within the P. fulvicornis-Group.
Precise Lifetime Measurement of the Cesium 5²D₅⸝₂ State
<p>This repository contains data and software related to an experiment in which we determine the lifetime of the cesium 5<sup>2</sup>D<sub>5/2</sub> state using atoms in a vapor cell. More information is available in the following paper:</p> <ul> <li>arXiv:1912.10089</li> </ul> <p>We provide the data and Python scripts for data evaluation in six folders. We zipped these folders with Windows 10 Enterprise, Version 1903. In the following, we describe how to use data and scripts to get the lifetime results published in our paper.</p> <p> </p> <p><strong>Raw Time-Tags</strong></p> <p>Here, we provide the raw measurement data. We perform several experiment cycles. An excitation laser is switched on at the beginning of each cycle. In the middle of the cycle, it is switched off. We use two single-photon counting modules (SPCM): one detects fluorescence photons emitted by the atoms, the other reference light from the excitation laser beam. We record the arrival times of those photons with respect to the beginning of the cycle. These time delays can be used to create a histogram and to determine the lifetime of the cesium 5<sup>2</sup>D<sub>5/2</sub> state.</p> <p>For each measurement, we provide two data files which are encoded in ‘UTF-8’:</p> <ul> <li>‘figx_xxx_reference_time_tags.dat’</li> <li>‘figx_xxx_fluorescence_time_tags.dat’</li> </ul> <p>where ‘figx_xxx’ is a unique tag indicating the figure and point to which this data corresponds in our paper. The ‘figx_xxx_fluorescence_raw_data.dat’ and ‘figx_xxx_reference_raw_data.dat’ files contain the raw time delays in picoseconds of the fluorescence and the reference photons, respectively.</p> <p>We provide raw time delays in the following folders:</p> <ul> <li>‘fig3_time_tags’: The data used in figure 3.</li> <li>‘fig4_time_tags’: The data used in figure 4. This folder has six subfolders, named ‘point_x’, where x indicates to which point of figure 4 the data belongs. The data of the subfolders ‘point_x_y’ was used for points x and y of figure 4 (the time-tags of the fluorescence photons were split into two sub-datasets with equal size).</li> <li>‘fig5_time_tags’: The data underlying figure 5. This folder has subfolders from ‘23C’ to ‘116C’ where the name indicates the temperature in units of °C of the vapor cell during the measurement. Note that the various measurements have different cycle lengths because reabsorption makes the decay of the fluorescence signal longer. For the lifetime value at a temperature of 23 °C, we used the lifetime which we found in figure 4. For some measurements, the time-tags of the reference SPCM are missing because only one SPCM was available for these measurements.</li> </ul> <p> </p> <p><strong>Histograms</strong></p> <p>Since the files of the raw measurement data are large, we also provide histograms of the time tags. For all datasets discussed above, we generated a histogram with a bin length of 5 ns. We save these histograms with the same file name as the files with the raw time tags but with the ending ‘_histo’ instead of ‘_time_tags’, e.g., ‘fig3_fluorescence_histo.dat’ and ‘fig3_reference_histo.dat’.</p> <p>We always provide two file formats:</p> <ul> <li>a data file (.dat), containing rows with the start time of a bin in microseconds, and the number of SPCM counts due to the fluorescence signal until the start of the next bin, separated by a comma. These files are encoded in ‘UTF-8’.</li> <li>a NumPy compressed array format file (.npz), which includes two arrays: The first array is called ‘time’ and contains the starting times of the bins. The second array is called ‘counts’ and includes the corresponding measured number of fluorescence photons per bin. It is possible to load the arrays into a Python script with numpy.load (tested with NumPy version 1.18.1).</li> </ul> <p> </p> <p><strong>Additional Information on the Measurements</strong></p> <p>We provide a JavaScript Object Notation file (.json) for each measurement. These files provide the following information about every measurement: temperature of the cell, number of detected photons, photons per cycle, and the total measurement duration. They are named ‘figx_xxx_info.json’, where ‘figx_xxx’ is the same indicator as discussed in section ‘Raw Time-Tags’.</p> <p> </p> <p><strong>Scripts</strong></p> <p>This folder contains two sample scripts to illustrate how our data can be processed with Python. The first Python script (generate_histograms.py) generates a histogram of the photon arrival times. The second Python script performs a fit in order to determine the lifetime of the cesium 5<sup>2</sup>D<sub>5/2</sub> state. We wrote these scripts with Python 3.6.5. To avoid errors, one should download all zipped folders and extract them to the same folder.</p> <ul> <li>The script ‘generate_histograms.py’ processes the fluorescence photon detection events stored in the folder ‘fig3_time_tags’. The file ‘fig3 _fluorescence_time_tags.dat’ is read into the script, and a histogram is generated. To run the script, the following Python libraries are required: NumPy (version 1.18.1), os (version 0.1.4), and json (version 2.0.9).</li> <li>The script ‘fit_data.py’ loads the file ‘fig3_fluorescence_histogram.npz’ from the folder ‘histograms\ fig3_time_tags’ in NumPy arrays. We perform a least-square fit on the histogram of the fluorescence decay. From the fit, we get the lifetime of the cesium 5<sup>2</sup>D<sub>5/2</sub> state. Optionally, it is possible to print a fit report and to plot the fit with its residuals. The following Python libraries are required to run the script: NumPy (version 1.18.1), os (version 0.1.4), json (version 2.0.9), pyplot from matplotlib (version 3.1.1), and Parameters, ExponentialModel, and ConstantModel from LmFit (version 1.0.0).</li> </ul> <p> </p> <p><strong>Figures</strong></p> <p>In the folder ‘figures’, we provide the values of the points which we used to generate figure 4 and figure 5. For both figures, we made a JavaScript Object Notation file (.json) where the data of every point is stored in a dictionary. This data contains the fit result of the lifetime and the temperature of the measurement. Additionally, it contains the corresponding errors and the units of every value.</p>
Figures 1–5. Chileporter huemeri n. gen. and n in New genus and species of Yponomeutidae (Lepidoptera: Yponomeutoidea) associated with Maytenus boaria Molina (Celastraceae) from Chile, with descriptions of immature stages and natural history observations
Figures 1–5. Chileporter huemeri n. gen. and n. sp., adult. 1) Wings, dorsal view. 2) Head, side view. 3) Wing veins. Scale bar: 1 mm (1, 2, 3). 4). Sternum 2. Scale bar: 0.5 mm. 5). Tergum spiny setae. Scale bar: 0.25 mm.
Fig. 5 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 5. Canonical variate analysis of the organized data of the analysis cluster. Representation the four different morphotypes of asteriscus otoliths of Prochilodus nigricans. (red cross) Morphotype 3; (blue square) Morphotype 2; (purple asterisk) Morphotype 4; (green ex) Morphotype 1.
Fig. 5 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 5. Relationship between beta diversity (mean distance to centroid), environmental heterogeneity and period of the hydrological cycle. a. Beta diversity of non-migratory fish species with external fertilization and parental care (NEFC); b. beta diversity of non-migratory fish species with internal fertilization (NIF).
Fig. 5 in Partial characterization of digestive proteases in sheepshead, Archosargus probatocephalus (Spariformes: Sparidae)
Fig. 5. SDS-PAGE electrophoresis analysis of alkaline digestive proteases of Archosargus probatocephalus: BM523 (molecular weight marker Bio Basic Inc; rabbit phosphorylase B 96.7 kDa, bovine serum albumin 66.2 kDa, ovalbumin 45 kDa, carbonic anhydrase 31.0 kDa soybean trypsin inhibitor 21.5 kDa and lysozyme 14.4 kDa), Control (1); inhibitors: OVO (2), PMSF (3), SBT1 (4), TPCK (5), TLCK (6), PHEN (7) and EDTA (8).
Fig. 5 in A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features
Fig. 5. Copionodon exotatos, paratype, MZUSP 121656, basibranchials and hypobranchials, dorsal view. Grey areas represent cartilage. Abbreviations: BB2-4, basibranchials 2 to 4; HB1-3, hypobranchials 1 to 3. Scale bar = 1 mm.
Fig. 5 in Review of the family Rivulidae (Cyprinodontiformes, Aplocheiloidei) and a molecular and morphological phylogeny of the annual fish genus Austrolebias Costa 1998
Fig. 5. Anterior section of anal fin of a. Papiliolebias bitteri, b. Pterolebias longipinnis, c. Ophthalmolebias constanciae; apr1-2 = proximal radials fused. Scale bar = 1 mm.
Fig. 5 in Contributions to the systematic of Pimelodidae (Osteichthyes, Siluriformes): basic and molecular cytogenetics on seven species of Pimelodus from three Brazilian hydrographic systems
Fig. 5. Cytogenetics data and phylogenetic relationships between Pimelodidae (modified from Lundberg et al., 2011). N= Neopimelodines; S= Sorubimines; CP= Calophysus-Pimelodus Clade; C = Calophysines; PI = Pimelodus Group; 2n = number diploid; p = short arm; q = long arm; S = simple; M = multiple.
Fig. 5 in Defining the reproductive period of freshwater fish species using the Gonadosomatic Index: a proposed protocol applied to ten species of the Patos Lagoon basin
Fig. 5. Monthly variation of Oligosarcus jenynsii GSI values (adult females only) in Guaíba Lake (white) and Casamento Lake (dark gray), Rio Grande do Sul, Brazil (median, 25- 75% quartiles and lower-upper GSI limits by month and site). Three GSI cut-off values were tested with respect to the maximum GSI recorded for each species, for delimitation of reproductive months: 20% (G20), 30% (G30) and 40% (G40).
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.