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Figs 18–21 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 18–21 (not in scale). 18 Psallidium spinimanum REICHE, 1861, 19 Tychius hebes DESBROCHERS, 1875, 20 Tychius naxiae FAUST, 1889, 21 Omias sandneri (REITTER, 1906). All photos: G. Müller.
Figs 10–11 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 10–11 (not in scale). 10 Oedecnemidius varius (BRULLé, 1832), 11 Styphlus oros (REITTER, 1889). All photos: G. Müller.
Figs 4 A–D. A in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 4 A–D. A Hypoglyptus sp.; B Otiorhynchus cf. bleusei FAUST, 1899; C and D normal and big sized (= polyploid?) specimens of Otiorhynchus ovalipennis (BOHEMAN, 1843). Photos: C. Germann.
Figs 6–9 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 6–9 (not in scale). 6 Protapion brenskei (DESBROCHERS, 1895), 7 Ceutorhynchus oculatus COLONNELLI, 1987, 8 Entomoderus cf. deformis (REICHE & SAULCY, 1858), 9 Mogulones sublineellus (C. BRISOUT, 1869). All photos: G. Müller.
Figs 3 A–C. Echinodera montissacris BEHNE, 2002. A in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 3 A–C. Echinodera montissacris BEHNE, 2002. A pronotum with deep and coarse punctation; B habitus, dorsal view; C penis lateral and dorsal view. Photos: C. Germann.
Figs 16–17 in An annotated checklist of the weevil fauna of Samos Island with new records for Greece (Coleoptera, Curculionoidea)
Figs 16–17 (not in scale). 16 Polydrusus armipes BRULLé, 1832, 17 Polydrusus cocciferae KIESEN-WETTER, 1864. All photos: G. Müller.
Neuropixels recordings from mouse visual cortex for Jia et al (2022)
<p>Neuropixels recordings from mouse visual cortex. The dataset was used in the paper: <strong>Multi-regional module-based signal transmission in mouse visual cortex,</strong> Jia et al. (2022) Neuron.</p> <p>For information about experimental procedures, see Siegle, Jia et al. (2021) Nature 592, 86-92 (https://www.nature.com/articles/s41586-020-03171-x).</p> <p>For information about file contents, see https://allensdk.readthedocs.io/en/latest/visual_coding_neuropixels.html</p> <p>The NWB 1.0 files can be opened with HDF5 and HDFview. </p> <table> <tbody> <tr> <td><strong>Mouse ID</strong></td> <td><strong>Genotype</strong></td> <td> </td> </tr> <tr> <td>306046</td> <td>['Sst-IRES-Cre/wt;Ai32/wt']</td> <td> </td> </tr> <tr> <td>388523</td> <td>['Pvalb-Cre',]</td> <td> </td> </tr> <tr> <td>389262</td> <td>['Vip-Cre']</td> <td> </td> </tr> <tr> <td>408153</td> <td>['Sst-IRES-Cre/wt;Ai32/wt']</td> <td> </td> </tr> <tr> <td>410344</td> <td>['Vip-Cre']</td> <td> </td> </tr> <tr> <td>415149</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>412809</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>412804</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>416856</td> <td>['Sst-IRES-Cre/wt;Ai32/wt']</td> <td> </td> </tr> <tr> <td>419114</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>419117</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>419118</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>419119</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>424445</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>415148</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>416356</td> <td>['Sst-IRES-Cre/wt;Ai32/wt']</td> <td> </td> </tr> <tr> <td>416861</td> <td>['Sst-IRES-Cre/wt;Ai32/wt']</td> <td> </td> </tr> <tr> <td>419112</td> <td>['wt/wt']</td> <td> </td> </tr> <tr> <td>419116</td> <td>['wt/wt']</td> <td> </td> </tr> </tbody> </table> <p> </p>
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
<p><span>Recent advances in multi-electrode array technology have made it possible to monitor large neuronal ensembles at cellular resolution in animal models. In humans, however, c</span>urrent approaches restrict recordings to few neurons per penetrating electrode or combine the signals of thousands of neurons in local field potential (LFP) recordings. Here, we describe a new probe variant and set of techniques which enable simultaneous recording from over 200 well-isolated cortical single units in human participants during intraoperative neurosurgical procedures using silicon Neuropixels probes. We characterized a diversity of extracellular waveforms with eight separable single unit classes, with differing firing rates, locations along the length of the electrode array, waveform spatial spread, and modulation by LFP events such as inter-ictal discharges and burst suppression. While some challenges remain in creating a turn-key recording system, high-density silicon arrays provide a path for studying human-specific cognitive processes and their dysfunction at unprecedented spatiotemporal resolution. </p>
A non-parametric model-free analysis of actigraphic recordings of acute insomnia patients
Both parametric and non-parametric approaches to time series analysis have advantages and disadvantages. Parametric methods, although powerful and widely used, can yield inconsistent results due to the oversimplification of the observed phenomena, they require the setting of arbitrary constants for their creation and refinement, and, although these constants relate to assumptions about the observed systems, it can lead to erroneous results when treating a very complex problem with a sizable list of unknowns. Their non-parametric counterparts, instead, are more widely applicable but present a higher detrimental sensitivity to noise and low density in the data. For the case of approximately periodic phenomena, such as human actigraphic time series, parametric methods are widely used and concepts such as acrophase are staple in chronobiology; in this work we present a non-parametric method of analysis of actigraphic time series from insomniac patients and healthy age-matched controls, the method is fully data-driven, reproduces previous results in the context of sleep-onset delay and, crucially, extends the concept of acrophase not only to circadian but also for ultradian spectral components.
Fig. 24 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 24. Allokoenenia sp., juvenile ♀ (ISLA 50396). A. Opisthosomal segments VIII–XI, ventral view (the dorsal setae of segment XI are also illustrated, with their insertions represented in dashed lines). B. Primordia of genital lobes of immature B. Scale bars: A = 100 μm; B = 30 μm.
Fig. 25 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 25. Allokoenenia sp. A. Map of Brazil showing the placement of the Caatinga Biome, delimited in yellow, and of Toca dos Ossos Cave (in red), habitat of Allokoenenia sp. B–C. Galleries of Toca dos Ossos Cave, showing its spongiform architecture. D. Surrounding landscape outside the Toca dos Ossos Cave, showing the limestone quarry that operated above the cave for many years. E. Area of Toca dos Ossos covered by rock fragments transported to the cave in consequence of the quarrying activities. F. Plan view of Toca dos Ossos, showing the structure of the cave with vadose galleries connected by a complex of labyrinthine smaller conduids; the palpigrade collecting site is indicated by a red star. G. Habitus of Allokoenenia sp., ♀ (ISLA 50396) under a stereo microcope before mounting.
Fig. 22 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 22. Allokoenenia sp., juvenile ♀ (ISLA 50396), left pedipalp. A. Trochanter-tibia. B. Basitarsi 1–2. C. Tarsi 1–3. Abbreviations: see Material and methods. Scale bars: A = 100 μm; B–C = 40 μm.
Fig. 23 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 23. Allokoenenia sp., juvenile ♀ (ISLA 50396), left pedipalp. A. Trochanter-tibia of right leg I. B. Basitarsi 1-tarsus 2 of right leg I. C. Tarsus 3 of left leg I. D. Basitarsus of right leg IV. Abbreviations: see Material and methods. Scale bars: A–B = 100 μm; C–D = 60 μm.
Fig. 21 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 21. Allokoenenia sp., juvenile ♀ (ISLA 50396). A. Deutotritosternal setae. B. Proximal setae (p – 1 p 6) on basal segment of chelicera. C. Distal setae (d 1 –d 3) on basal segment of chelicera. D. Metapeltidial chaetotaxy. E. Chaetotaxy of opisthosomal tergite III. Abbreviations: see Material and methods. Scale bars: A–B, D–E = 20 μm; C = 40 μm.
Fig. 20 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 20. Allokoenenia sp., juvenile ♀ (ISLA 50396). A. Frontal organ. B. Blades of lateral organ. C. Propeltidial chaetotaxy. D. Coxa of right pedipalp. E. Coxa of right leg I. F. Coxa of left leg II. G. Coxa of right leg III. H. Coxa of left leg IV. Scale bars: A–B = 20 μm; C = 100 μm; D–H = 40 μm. Thickened setae on coxae II–IV indicated by arrows.
Fig. 14 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 14. Allokoenenia stygia sp. nov., ♀, paratype (MZSP 54249), articles of left leg I. A. Trochanterpatella. B. Tibia-basitarsus 2. Abbreviations: see Material and methods. Scale bar = 100 μm.
Fig. 17 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 17. Allokoenenia stygia sp. nov., ♀, holotype (MZSP 54247), opisthosomal segments VII–XI, ventral view (the dorsal setae of segment XI is also illustrated, represented in dashed line). Scale bar = 150 μm.
Fig. 10 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 10. Allokoenenia stygia sp. nov., ♀. A. Frontal organ, holotype (MZSP 54247). B. Blades of lateral organ, paratype (MZSP 54249). C. Metapeltidial chaetotaxy, holotype (MZSP 54247). D. Propeltidial chaetotaxy, holotype (MZSP 54247). E. Distal setae (d 1 –d 3) on basal segment of chelicera, paratype (MZSP 54249). Abbreviations: see Material and methods. Scale bars: A–B = 20 μm; C = 25 μm; D = 150 μm; E = 60 μm.
Fig. 6 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 6. Allokoenenia canhembora sp. nov., ♀, holotype (ISLA 50394). A. Trochanter-patella of right leg I. B. Tibia-basitarsus 2 of left leg I. C. Basitarsus 3-tarsus 2 of left leg I. D. Tarsus 3 of right leg I. Abbreviations: see Material and methods. Scale bars: A–C = 100 μm; D = 40 μm.
Fig. 3 in Two extraordinary troglobitic species of Allokoenenia (Eukoeneniidae: Palpigradi) from Brazil: first records of this initially monotypic genus more than a century after its description
Fig. 3. Allokoenenia canhembora sp. nov., ♀, holotype (ISLA 50394). A. Frontal organ. B. Blades of lateral organ. C. Coxa of left pedipalp. D. Coxa of left leg I. E. Coxa of right leg II. F. Coxa of left leg III. G. Coxa of right leg IV. Scale bars: A–B = 20 μm. C–G = 40 μm. Thickened setae on coxae II–IV indicated by arrows.
ScienceDex guides
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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.