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Fig 3 from: Scholtz C, Bazelet CS, de Klerk H (2018) Gryllacrididae (Orthoptera: Ensifera) in southern Africa. Journal of Orthoptera Research 27(2): 183-186. https://doi.org/10.3897/jor.27.29645
Fig 3 Glomeremus sp. 3. A mating pair from the southwestern Cape Province, South Africa. The female is on top, the male below her. Spermatophores, produced by the male during copulation, and characteristic of Ensifera, are clearly visible. Body length about 15 mm. Photo by C. S. Bazelet.
Fig 2 from: Scholtz C, Bazelet CS, de Klerk H (2018) Gryllacrididae (Orthoptera: Ensifera) in southern Africa. Journal of Orthoptera Research 27(2): 183-186. https://doi.org/10.3897/jor.27.29645
Fig 2 Glomeremus sp. 2. From the mountains of the southwestern Cape Province, South Africa. Body length about 15 mm.
Fig 1 from: Scholtz C, Bazelet CS, de Klerk H (2018) Gryllacrididae (Orthoptera: Ensifera) in southern Africa. Journal of Orthoptera Research 27(2): 183-186. https://doi.org/10.3897/jor.27.29645
Fig 1 Glomeremus sp. 1. From the Drakensberg, South Africa, illustrating the long, curled antennae and the silk matting on the inner surface of the leaf shelter. Body length about 15 mm.
Fig 4 from: Riede K (2018) Acoustic profiling of Orthoptera: present state and future needs. Journal of Orthoptera Research 27(2): 203-215. https://doi.org/10.3897/jor.27.23700
Fig 4 A data warehouse for sound management. The scheme illustrates elements and workflow for acoustic profiling of Orthoptera. Songs are sampled either by recording individual songsters (Targeted Recordings), or entire acoustic scenes, each of which could contain several Orthoptera songs. Targeted recordings are treated like specimens, with time and locality stamps and, preferably, a voucher specimen. All databases listed in Table 1 are designed to store individual recordings. These distributed databases could be federated via ABCD- or Darwin-protocol. Soundscapes require distinct data management of large multimedia files. Orthoptera songs could be extracted manually or semi-automatically as sound snippets, and eventually be identified (ID) manually, or using automatic sound recognition algorithms (ASR). Many snippets can be extracted from each scene, resulting in a one-to-many relationship between scenes and snippets.
Fig 2 from: Riede K (2018) Acoustic profiling of Orthoptera: present state and future needs. Journal of Orthoptera Research 27(2): 203-215. https://doi.org/10.3897/jor.27.23700
Fig 2 The SYSTAX database. Screenshot of the new SYSTAX user interface, to be released under www.systax.org. A search for the Neotropical tettigoniid genus Anaulacomera recovers several sound recordings from a voucher specimen of a hitherto undescribed species, documented by photographs. Faceting allows searching by images or sounds exclusively.
Fig 1 from: Riede K (2018) Acoustic profiling of Orthoptera: present state and future needs. Journal of Orthoptera Research 27(2): 203-215. https://doi.org/10.3897/jor.27.23700
Fig 1 Web-based sound analysis tool for the Macaulay Sound Library, Cornell Lab (https://www.macaulaylibrary.org). Macaulay Library provides more than 400,000 playable audio files (http://macaulaylibrary.org/index.do), and even permits spectrographic online visualization using RavenViewer as a free browser plugin (http://www.birds.cornell.edu/brp/software/sound-analysis-tools). The example shows a recording of a Virtuoso katydid by T. Walker, who provided most of the Orthoptera sound recordings for this sound library. For further details, see text.
Fig 3 from: Riede K (2018) Acoustic profiling of Orthoptera: present state and future needs. Journal of Orthoptera Research 27(2): 203-215. https://doi.org/10.3897/jor.27.23700
Fig 3 Embedding metadata within sound files. Metadata were embedded within wav and mp3 fields directly from the SYSTAX database using Soundminer software (http://store.soundminer.com/). Metadata are visible within most mp3-players, displaying the species name as "TrackTitle" and the recordist as "Artist" (Courtesy: S. Ingrisch).
Fig 1 from: Shephard AM, Aksenov V, Rollo CD (2018) Conspecific mortality cues mediate associative learning in crickets, Acheta domesticus (Orthoptera: Gryllidae). Journal of Orthoptera Research 27(2): 187-192. https://doi.org/10.3897/jor.27.25484
Fig 1 Changes in olfactory preference index for adult crickets (Achetadomesticus) conditioned to associate a favorable vanilla olfactory scent with one of five necromone cues: all-female cricket body extract (F Ex), all-male extract (M Ex), combined male-female extract (MF Ex), oleic acid (OA), and linoleic acid (LA). In the control treatment, crickets were conditioned with ethanol instead of a necromone cue. Positive indices indicate vanilla preference and negative indices indicate peppermint preference. A significant change in preference index between initial and post-conditioning tests (relative to the control) indicates learning associated with a necromone cue (* p < 0.05, ** p < 0.01). All preference indices were derived from perching durations (i.e. total time spent attending to either the vanilla or peppermint cue during the preference test). Bars indicate standard error.
Supplementary material 3 from: Prendergast KS (2022) Leioproctus zephyr Prendergast (Hymenoptera, Colletidae, Leioproctus), an oligoletic new bee species with a distinctive clypeus. Journal of Hymenoptera Research 93: 167-188. https://doi.org/10.3897/jhr.93.85685
Taxon ID tree
Recharging process of commercial floating-gate MOS transistor in dosimetry application (raw data from journal article)
<p>This upload contains raw data from the manuscript "Recharging process of commercial floating-gate MOS transistor in dosimetry application". The manuscript was published in Microelectronics Reliability, vol. 126, p.114322, 2021; DOI: https://doi.org/10.1016/j.microrel.2021.114322</p> <p>The upload consists of a .pdf file of the manuscript and .vsz files with raw data related to the figures in the manuscript. Each .vsz file is linked with raw data from the text files (.txt) and placed in a folder with the name and an ordinal number of the figure in the publication. Additionally, a .pdf output file of the Veusz program (freely available) is placed in each folder.</p> <p>This work was partly supported by the European Union’s Horizon 2020 research and innovation programme (Grant No. 857558) and the Ministry of Education, Science and Technology Development of the Republic of Serbia (Project No. 43011 and Project No.451-03-9/2021-14/200026).</p>
Sankey diagram - Auths - Keywords – Journals
<p>Repository of image, part of PhD Thesis in Management.</p>
Supplementary material 1 from: Yan C-J, Talamas E, Lahey Z, Chen H-Y (2022) Protelenomus Kieffer is a derived lineage of Trissolcus Ashmead (Hymenoptera, Scelionidae), with comments on the evolution of phoresy in Scelionidae. Journal of Hymenoptera Research 94: 121-137. https://doi.org/10.3897/jhr.94.95961
Sequenced taxa and GenBank accession numbers
Supplementary material 6 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Mock community metabarcoding results
Supplementary material 2 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Mean wild bee genus penalty scores sorted by primer pair
Supplementary material 4 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Tagged primer combinations used in the mock community experiment
Supplementary material 1 from: Lepeco A, Barbosa DN, Melo GAR (2022) A remarkable new family of stinging wasps from the Cretaceous of Myanmar and China (Hymenoptera, Aculeata). Journal of Hymenoptera Research 94: 163-190. https://doi.org/10.3897/jhr.94.85613
Additional figures of †Mirabythus lechriusCai et al., 2012 and †Mirabythus liaeCai et al., 2012.
Supplementary material 5 from: Herrera-Mesías F, Bause C, Ogan S, Burger H, Ayasse M, Weigand AM, Eltz T (2022) Double-blind validation of alternative wild bee identification techniques: DNA metabarcoding and in vivo determination in the field. Journal of Hymenoptera Research 93: 189-214. https://doi.org/10.3897/jhr.93.86723
Supplementary file 5
Supplementary material 4 from: Herrera-Mesías F, Bause C, Ogan S, Burger H, Ayasse M, Weigand AM, Eltz T (2022) Double-blind validation of alternative wild bee identification techniques: DNA metabarcoding and in vivo determination in the field. Journal of Hymenoptera Research 93: 189-214. https://doi.org/10.3897/jhr.93.86723
Supplementary file 4
Supplementary material 3 from: Herrera-Mesías F, Bause C, Ogan S, Burger H, Ayasse M, Weigand AM, Eltz T (2022) Double-blind validation of alternative wild bee identification techniques: DNA metabarcoding and in vivo determination in the field. Journal of Hymenoptera Research 93: 189-214. https://doi.org/10.3897/jhr.93.86723
Supplementary file 3
Supplementary material 9 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Primer pair amplification success rates based on Linnaean species
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.