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Fig. 7. Chrysidea phoebe Zimmermann, 1956 in Redescription of Chrysidea pumiloides Zimmermann, 1956, and description of three new species of Chrysidea from Madagascar (Hymenoptera: Chrysididae)
Fig. 7. Chrysidea phoebe Zimmermann, 1956, ♂. A. Lateral habitus. B. Head. C. Mesosoma. D. Metasoma. E. Black spots on S2. F. T3. Scale bars = 1.0 mm.
Fig. 2. Chrysidea pumiloides Zimmermann, 1956 in Redescription of Chrysidea pumiloides Zimmermann, 1956, and description of three new species of Chrysidea from Madagascar (Hymenoptera: Chrysididae)
Fig. 2. Chrysidea pumiloides Zimmermann, 1956, ♂. A. Lateral habitus. B. Head. C. Mesosoma. D. Metasoma. E. Black spots on S2. F. T3. Scale bars = 1.0 mm.
Fig. 1. Chrysidea pumiloides Zimmermann, 1956 in Redescription of Chrysidea pumiloides Zimmermann, 1956, and description of three new species of Chrysidea from Madagascar (Hymenoptera: Chrysididae)
Fig. 1. Chrysidea pumiloides Zimmermann, 1956, holotype, ♀. A. Lateral habitus. B. Head. C. Mesosoma. D. Metasoma. E. Black spots on S2. F. T3. Scale bars = 1.0 mm.
Fig. 5 in Redescription of Chrysidea pumiloides Zimmermann, 1956, and description of three new species of Chrysidea from Madagascar (Hymenoptera: Chrysididae)
Fig. 5. Chrysidea merina sp. nov., holotype, ♀. A. Lateral habitus. B. Head. C. Mesosoma. D. Metasoma. E. Black spots on S2. F. T3. Scale bars = 1.0 mm.
Data sets for " The nature of mean-field generation in three classes of optimal dynamos"
<pre>The tar archive Optimal_Dynamos.tar contains and index.html file with links to the run directories for each figure and the two tables of the paper "The nature of mean-field generation in three classes of optimal dynamos" by Axel Brandenburg (Nordita) and Long Chen (Durham University) with the temporary URL http://norlx51.nordita.org/~brandenb/tmp/long_chen. Corrections and updates are available on the active URL to this tar archive: https://www.nordita.org/~brandenb/projects/Optimal_Dynamos/</pre>
Fig. 2 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 2. Cotesia khuzestanensis Zargar & Gupta sp. nov., ICAR-NBAIR/NIM/MICROG/COT/451611. A. Head, frontal view. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, lateral view.
Fig. 4 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 4. Cotesia cynthiae (Nixon, 1974). A. Head, frontal view., ICAR-NBAIR/NIM/MICROG/ COT/3416. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, lateral view.
Fig. 3 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 3. Cotesia zagrosensis Zargar & Gupta sp. nov., ICAR-NBAIR/NIM/MICROG/COT/6717. A. Head, frontal view. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, dorsal view.
Fig. 5 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 5. Cotesia glabrata (Telenga, 1955), ICAR-NBAIR/NIM/MICROG/COT/20416. A. Head, frontal view. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, lateral view.
Data for three-dimensional active nematic turbulence
<p>Selected data from numerical simulation of bulk three-dimensional active nematic turbulence. Data includes nematic Q-tensor and the velocity field. The outer layer of data points is used for allocation of periodic boundary conditions. Symmetric Q-tensor is written in the order (Q<sub>xx</sub>, Q<sub>yy</sub>, Q<sub>zz</sub>, Q<sub>xy</sub>, Q<sub>xz</sub>, Q<sub>yz</sub>). Data points are written with x as the fast coordinate. The data is obtained by numerically solving the Beris-Edwards model for nematic hydrodynamics, generalized by the active stress term [1,2]. The details of the data and the numerical model are available in publication "Spectral energy analysis of bulk three-dimensional active nematic turbulence" [3].</p> <p>Files:</p> <ul> <li>"active_turbulence-135x135x135-0.300.tar" — A timeline of active turbulence including Q-tensor and velocity profile in a box of size (135)<sup>3</sup> at activity 0.3 L/Δx<sup>2</sup>. The timeline includes 26000 steps, relevant fields are written every 50 steps.</li> <li>"active_turbulence-407x407x407-0.025_Q.raw.gz" — Q-tensor profile in a box of size (407)<sup>3</sup> at activity 0.025 L/Δx<sup>2</sup>.</li> <li>"active_turbulence-407x407x407-0.025_u.raw.gz" — velocity profile in a box of size (407)<sup>3</sup> at activity 0.025 L/Δx<sup>2</sup>.</li> <li>"active_turbulence-407x407x407-0.100_Q.raw.gz" — Q-tensor profile in a box of size (407)<sup>3</sup> at activity 0.1 L/Δx<sup>2</sup>.</li> <li>"active_turbulence-407x407x407-0.100_u.raw.gz" — velocity profile in a box of size (407)<sup>3</sup> at activity 0.1 L/Δx<sup>2</sup>.</li> <li>"active_turbulence-407x407x407-0.300_Q.raw.gz" — Q-tensor profile in a box of size (407)<sup>3</sup> at activity 0.3 L/Δx<sup>2</sup>.</li> <li>"active_turbulence-407x407x407-0.300_u.raw.gz" — velocity profile in a box of size (407)<sup>3</sup> at activity 0.3 L/Δx<sup>2</sup>.</li> </ul> <p> </p> <p> </p>
Dataset of transactions of 10 Ethereum addresses controlled by a private key, each has at least 2000 output transactions, which include a transfer of cryptocurrency, and all transactions are performed within no longer than three months period.
<p>Starting from the block Nr. 8578851, we have evaluated every block to find enough unique addresses that satisfy the following requirements. The address that appeared in a block must be controlled by private key (i.e., CA), have at least 2000, and not more than 6000 outgoing transactions (i.e., digitally signed), which however include a transfer of any amount of cryptocurrency (i.e., Ether) and must be performed within a period no longer than three months. The whole dataset includes a total of 30505 transactions.</p> <p>Each transaction has data about:</p> <ul> <li>transaction hash</li> <li>block number</li> <li>timestamp (Unix),</li> <li>date and time (m/dd/yyyy)</li> <li>from (Ethereum address)</li> <li>to (Ethereum address)</li> <li>output value (ETH)</li> <li>transaction fee (ETH)</li> <li>transaction fee (USD)</li> <li>historical price (USD)</li> </ul>
Datasets for the publication "Simulation of snow management in Alpine ski resorts using three different snow models"
<p>Snow model simulation results used for the paper "Simulation of snow management in Alpine ski resorts using three different snow models".</p> <p>The following results are available for each of the nine ski resorts:</p> <ul> <li><em><resort></em>_swe_<em><date></em>.tif or <em><resort></em>_swe.geojson: Spatially distributed SWE outputs for 2016-12-24 and 2017-12-24 in GeoJSON (for the two French resorts) or GeoTIFF (for all other resorts) format. Unit: kg m<sup>-2</sup></li> <li><em><resort></em>_point_depth.csv, <em><resort></em>_point_swe.csv: Time series of snow depth (in m) and SWE (in kg m<sup>-2</sup>) for the respective points of interest. The column names correspond to the snow management configurations as shown in Fig. 5 of the paper.</li> </ul>
РИС. 1. Личинки мидии Mytilus galloprovincialis на стадиЯх: A – стерробластулы (стрелками обоЗначены три рЯда ресничек) и B – трохофоры (стрелкоЙ обоЗначены реснички апикального султанчика). МасШтаб: 15 мкм. FIG. 1. Larvae of the mussel Mytilus galloprovincialis at two different stages: (A) –sterroblastula (arrows indicate three rows of cilia) and (B) – trochophore (the arrow indicates cilia of the parietal plume). Scale: 15 µm. in Морфометрические особенности личинок мидии Mytilus galloprovincialis (Lamarck, 1819) (Bivalvia: Mytilidae) в онтогенеЗе
РИС. 1. Личинки мидии Mytilus galloprovincialis на стадиЯх: A – стерробластулы (стрелками обоЗначены три рЯда ресничек) и B – трохофоры (стрелкоЙ обоЗначены реснички апикального султанчика). МасШтаб: 15 мкм. FIG. 1. Larvae of the mussel Mytilus galloprovincialis at two different stages: (A) –sterroblastula (arrows indicate three rows of cilia) and (B) – trochophore (the arrow indicates cilia of the parietal plume). Scale: 15 µm.
Fig. 2 in Morphological Characteristics Of Dicrocoelium Dendriticum (Digenea, Dicrocoeliidae), Parasitizing Three Host Species In The Central Regions Of Ukraine
Fig. 2. Frequency distribution of body length of Dicrocoelium specimens from naturally infected cattle, sheep and goat (n = 30).
Figure 3 in Intragonadal evaluation of sexual steroid hormones during three reproductive events in two species of Peromyscus (Rodentia: Cricetidae)
Figure 3. Fluctuations of each intraovarian [SSH] in the ∆4 pathway throughout three reproductive events in two species of Peromyscus. Mean concentrations of sexual steroid hormones, [SSH], were obtained from estrous cycle, pregnancy and lactation in free-living, adult females of P. melanotis (A) and P. difficilis (B). Symbology as in Fig. 2. Note that scales differ; complete ANOVA information is available in Table S2.
Figure 1 in Intragonadal evaluation of sexual steroid hormones during three reproductive events in two species of Peromyscus (Rodentia: Cricetidae)
Figure 1. Intraovarian contents of selected ∆ 4 pathway's SSH in two Peromyscus species. Sexual steroid hormones (SSH: progesterone, P4; androstenedione, A; testosterone, T; estradiol, E2) were obtained from free-living, adult females of P. melanotis (A) and P. difficilis (B), during a complete estrous cycle (CEC: proestrus to diestrus), and after ovulation (vertical arrows) followed by fecundation in a successful estrous cycle (SEC: proestrus, estrus + early gestation 1 and late gestation 2 + overall lactation); note that proestrus and estrus data from CEC are duplicated in SEC). The oogenetic and anabolic/ catabolic phases of the ovarian cycle are also depicted (see Table 1).
Figure 2 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 2. Representative data recording of electrocardiogram (A) and aerial ventilation (B) in a premetamorphic Lithobates catesbeianus at 25°C. In B the signals show a ventilatory event where the tadpole renewed the air in its lungs, resulting in a marked drop in PO2 and an increase in PCO2. Following the ventilatory event, the expired air was mixed with the remaining air within the closed respirometry system, resulting in a PO2 slightly lower, and a PCO2 slightly greater, than before ventilation.
Figure 1 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 1. Scheme of non-invasive apparatus to measure gas exchange in water (A) and air (B), and heart rate (C).
Figure 4 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 4. Mass-specific oxygen consumption (A) and carbon dioxide released (B) for aerial (red lines and points) and aquatic (blue lines and points) gas exchange during development of Lithobates catesbeianus.
Figure 5 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 5. Relationship between Log whole-body oxygen consumption (A) and carbon dioxide release (B) (µmol h-1) in 10 air (filled symbols) and water (open symbols), and Log10 body mass (g) in larval (blue triangles), premetamorphic (orange squares) and metamorphic (green circles) stages of Lithobates catesbeianus. Each point represents a measurement from a single animal. The regression lines correspond to aerial (red) and aquatic (blue) gas exchange. Dotted lines represent no significant correlation.
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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.