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Figure 1. Adult habitus. A in Taxonomic review on Acrocercopinae, Gracillariinae and Ornixolinae from Shandong, China, with new data on distribution and host associations (Lepidoptera: Gracillariidae)
Figure 1. Adult habitus. A. Calybites phasianipennella, male, registration no. SDNU.YT170707. B. Calybites securinella, male, registration no. SDNU.Ent150632. C. Caloptilia (Caloptilia) celtidis, male, registration no. SDNU.Ent170235. D. Caloptilia (C.) chrysolampra, male, registration no. SDNU.BZ160807. E. Caloptilia (C.) sapporella, male, SDNU.Ent170088. F. Acrocercops transecta, male, registration no. SDNU.LS150701. Scale bars = 2.0 mm.
Figure 2. Adult habitus. A in Taxonomic review on Acrocercopinae, Gracillariinae and Ornixolinae from Shandong, China, with new data on distribution and host associations (Lepidoptera: Gracillariidae)
Figure 2. Adult habitus. A. Spulerina parthenocissi, male, registration no. SDNU.QD160704. B. Telamoptilia grewiae, male, registration no. SDNU.JN160818. C. Eteoryctis picrasmae, female, registration no. SDNU.YT170704.3. D. Liocrobyla lobata, male, registration no. SDNU.YT170702.6. E. Epicephala relictella, male, registration no. SDNU.Ent150763. F. Conopomorpha flueggella, female, registration no. SDNU.Ent161934. Scale bars = 2.0 mm.
Figs 1–8 in New Data On The Rare Spider Species (Arachnida, Araneae) From Kyiv Region (Ukraine)
Figs 1–8. Eresus moravicus: 1 — general appearance, female (photo by A. Mishta), 2 — same, male (photo by V. Terekhova); 3–5 — male palp; Parasyrisca arrabonica: 6–8 — male palp. 3, 6 — palp, prolateral, 4, 7 — same, ventral, 5, 8 — same, retrolateral. Scale bar 0.1 mm.
Figs 9–10 in New Data On The Rare Spider Species (Arachnida, Araneae) From Kyiv Region (Ukraine)
Figs 9–10. Mustelicosa dimidiata: 9 — epigyne, ventral; Enoplognatha bryjai: 10 — epigyne, dorsal. Scale bars: fig. 9 0.2 mm; fig. 10 0.1 mm.
Figs. 26–30 in First data on Arctosa wolf spiders (Araneae: Lycosidae) from Laos with description of a new species
Figs. 26–30. Embolic divisions of Arctosa delaportei, new species (26), A. kiangsiensis (27, 28), and A. springiosa (29, 30). 26, 28, 30, anterior; 27, 29, ventral. Scale = 0.1 mm. Abbreviations: Em – embolus, Ep – embolus projection, Ta – terminal apophysis.
Fig. 37 in First data on Arctosa wolf spiders (Araneae: Lycosidae) from Laos with description of a new species
Fig. 37. Distribution records of Arctosa spp.: A. delaportei, new species (1), A. depectinata (2), A. kiangsiensis (3), and A. springiosa (4). New localities in Laos are outlined by red circles.
Figs. 31–36 in First data on Arctosa wolf spiders (Araneae: Lycosidae) from Laos with description of a new species
Figs. 31–36. Epigynes of Arctosa depectinata (31–33) and A. kiangsiensis (34–36). 31, 34, ventral, intact; 32, 35, ventral, macerated; 33, 36, dorsal, macerated. Scale = 0.1 mm. Abbreviations: Cd – copulatory duct, Cp – copulatory opening, Fd – fertilisation duct, Ho – hood, Re – receptacle, Rg – receptacle gland, Se – septum, Ss – stem of septum.
Figs. 7–14 in First data on Arctosa wolf spiders (Araneae: Lycosidae) from Laos with description of a new species
Figs. 7–14. Male palps of Arctosa delaportei, new species (7, 8), A. depectinata (9, 10), A. kiangsiensis (11, 12), and A. springiosa (13, 14). 7, 9, 11, 13, ventral; 8, 10, 12, 14, retrolateral. Scale = 0.2 mm. Abbreviations: Pa – posterior arm, Ra – retrolateral arm.
Figs. 15–25 in First data on Arctosa wolf spiders (Araneae: Lycosidae) from Laos with description of a new species
Figs. 15–25. Bulbs of Arctosa delaportei, new species (15–17), A. kiangsiensis (18–21), and A. springiosa (22–25). 15, 18, 22, ventral; 16, 21, 25, anterior; 17, 20, 24, retrolateral; 19, 23, prolateral-anterior. Scale = 0.1 mm. Abbreviations: Aa1–3 – anterior arms 1–3, Ag – arm groove, Co – conductor, Ra – retrolateral arm, Sd – sperm duct, St – subtegulum, Ta – terminal apophysis, Te – tegulum, Tg – tegular apophysis, Tt – tegular apophysis teeth.
Survey Data on New Genomic Techniques (Dataset)
<table> <tbody> <tr> <td>This survey by EFSA provides insights in terms of:<br> • Europeans’ concerns regarding food, and interest in several food safety topics.<br> • Europeans’ knowledge and perception of new genomic techniques (NGTs), including awareness of NGTs, which NGT-related information evokes most interest, perceived effects on the environment, health, etc. of the application of NGTs to food, among others.<br> <br> The survey was implemented by the Teleperformance in 24 member states (i.e. all EU27 countries except Cyprus, Luxembourg, and Malta) plus Norway between 17th and 19th of November 2021. A total of 8,900 respondents from different social and demographic groups completed the survey online in their mother tongue, with 300 to 500 respondents per country. These sample sizes provide robust results and ensure that responses are representative in each of the countries to be surveyed.<br> <br> The sample was nationally representative with respect to age and gender. Other demographic information collected included education, among others.</td> </tr> </tbody> </table>
Figs 28–34 in Acrobasis khachella (Amsel, 1950): Little-known snout moth species and new data about its range and habitats (Lepidoptera, Pyralidae, Phycitinae)
Figs 28–34. Acrobasis khachella (Amsel, 1950),genitalia: 28–30 —male genitalia; 31–34 —female genitalia: 28 — Kazakhstan, Dzhungarsky Alatau Mts., Usek river valley; 29 — Kyrgyzstan, Moldo-Too Mts., near the Koro-Goo Pass; 30 — Tajikistan, Shakhdarinsky Mts., Vezdara river valley; 31 — Kazakhstan, Dzhungarsky Alatau Mts., Usek river valley; 32 — Kyrgyzstan, Fergansky Mts., southern shore of Toktogul reservoir near the settlement Imeni Chkalova; 33 — Kyrgyzstan, Moldo-Too Mts., near the Koro-Goo Pass; 34 — Tajikistan, Shakhdarinsky Mts., Vezdara river valley Рис. 28–34. Acrobasis khachella (Amsel, 1950), генитаΛии: 28–30 — генитаΛии самца; 31–34 — генитаΛии самки: 28 — Казахстан, хр. Δжунгарский АΛатау, ΑоΛина р. Усек; 29 — Киргизия, хр. МоΛΑо-Тоо, бΛиз пер. Коро-Гоо; 30 — ТаΑжикистан, ШахΑаринский хр., ΑоΛина р. ВезΑара; 31 — Казахстан, хр. Δжунгарский АΛатау, ΑоΛина р. Усек; 32 — Киргизия, Ферганский хр., южный берег ТоктогуΛьского вΑхр. бΛиз пос. имени ЧкаΛова; 33 — Киргизия, хр. МоΛΑо-Тоо, бΛиз пер. Коро-Гоо; 34 — ТаΑжикистан, ШахΑаринский хр., ΑоΛина р. ВезΑара
Data from: Stochastic character mapping, Bayesian model selection, and biosynthetic pathways shed new light on the evolution of habitat preference in cyanobacteria
<p>Cyanobacteria are the only prokaryotes to have evolved oxygenic photosynthesis paving the way for complex life. Studying the evolution and ecological niche of cyanobacteria and their ancestors is crucial for understanding the intricate dynamics of biosphere evolution. These organisms frequently deal with environmental stressors such as salinity and drought, and they employ compatible solutes as a mechanism to cope with these challenges. Compatible solutes are small molecules that help maintain cellular osmotic balance in high-salinity environments, such as marine waters. Their production plays a crucial role in salt tolerance, which, in turn, influences habitat preference. Among the five known compatible solutes produced by cyanobacteria (sucrose, trehalose, glucosylglycerol, glucosylglycerate, and glycine betaine), their synthesis varies between individual strains. In this study, we work in a Bayesian stochastic mapping framework, integrating multiple sources of information about compatible solute biosynthesis in order to predict the ancestral habitat preference of Cyanobacteria. Through extensive model selection analyses and statistical tests for correlation, we identify glucosylglycerol and glucosylglycerate as the most significantly correlated with habitat preference, while trehalose exhibits the weakest correlation. Additionally, glucosylglycerol, glucosylglycerate, and glycine betaine show high loss/gain rate ratios, indicating their potential role in adaptability, while sucrose and trehalose are less likely to be lost due to their additional cellular functions. Contrary to previous findings, our analyses predict that the last common ancestor of Cyanobacteria (living at around 3180 Ma) had a 97% probability of a high salinity habitat preference and was likely able to synthesize glucosylglycerol and glucosylglycerate. Nevertheless, cyanobacteria likely colonized low-salinity environments shortly after their origin, with an 89% probability of the first cyanobacterium with low-salinity habitat preference arising prior to the Great Oxygenation Event (2460 Ma). Stochastic mapping analyses provide evidence of cyanobacteria inhabiting early marine habitats, aiding in the interpretation of the geological record. Our age estimate of ~2590 Ma for the divergence of two major cyanobacterial clades (Macro- and Microcyanobacteria) suggests that these were likely significant contributors to primary productivity in marine habitats in the lead-up to the Great Oxygenation Event, and thus played a pivotal role in triggering the sudden increase in atmospheric oxygen.</p>
Data from: A multi-locus plastid phylogeny of the Aulonemia clade (Poaceae: Bambusoideae: Bambuseae: Arthrostylidiinae) reveals three new genera of bamboo
<p>Arthrostylidiinae (Poaceae: Bambusoideae), a subtribe of Neotropical woody bamboos with diverse morphology, comprises 200 species classified in 16 genera. Previous studies supported monophyly of the subtribe and recovered four major internal clades, however, some genera were found to be polyphyletic while others, like <em>Aulonemia</em> and <em>Colanthelia,</em> were either undersampled or not included. <em>Aulonemia</em> and <em>Colanthelia</em> are complex both in their taxonomy and morphology, and exhibit overlapping morphological characters. Prior morphological and molecular analyses suggested they share a close relationship, with <em>Colanthelia </em>emerging as monophyletic and either nested within <em>Aulonemia</em> or sister to it,<em> </em>but these studies sampled relatively few species of each genus. The aims of this study were to increase taxon sampling to test the monophyly of <em>Aulonemia</em> and <em>Colanthelia, </em>to investigate the relationships within the <em>Aulonemia </em>+ <em>Colanthelia </em>clade, and to revise their classification as appropriate towards a natural classification of the Arthrostylidiinae. We present a multi-locus plastid phylogeny of the Arthrostylidiinae with emphasis on <em>Aulonemia </em>and <em>Colanthelia</em>. We used sequences of seven plastid markers (one coding: <em>ndhF</em>; six non-coding:<em> trnC-rpoB, rps16-trnQ, trnT-trnL, rps16, trnD-trnT, </em>and <em>rpl16</em>) from 67 taxa of Bambusoideae including all genera of Arthrostylidiinae. Phylogenetic trees were inferred using both Bayesian and maximum likelihood methods. <em>Aulonemia</em> was confirmed as polyphyletic and <em>Colanthelia</em> was not supported as monophyletic. The phylogenetic position of <em>Myriocladus </em>within Arthrostylidiinae is resolved for the first time. All species of <em>Colanthelia</em> were recovered within the clade containing most species of <em>Aulonemia</em>. Four species of <em>Aulonemia</em> (<em>A. radiata</em>, <em>A. effusa</em>, <em>A. setosa</em>, and <em>A. setigera</em>) grouped in other clades within the subtribe and these placements combined with morphological evidence support the establishment of three new genera: <em>Quixiume</em>, <em>Stelanemia</em> and <em>Vianaea</em>, to accommodate the four remarkable <em>Aulonemia</em> species. An updated key for the genera of the Arthrostylidiinae is provided, as well as taxonomic treatments for the three new genera, including the description of a new species in <em>Stelanemia</em>.</p>
Figs 35–42 in Acrobasis khachella (Amsel, 1950): Little-known snout moth species and new data about its range and habitats (Lepidoptera, Pyralidae, Phycitinae)
Figs 35–42. Acrobasis khachella (Amsel, 1950), habitats: Kyrgyzstan: 35 — Talassky Mts., Kara-Buura river bank; 36 — Alai Mts., Kyzyl-Eshme valley; 37 — Moldo-Too Mts., Koro-Goo Pass environs; 38 — Dzhumgaltoo Mts., Sary-Kaiky gorge near Kojomkul; 39 — Kirghizsky Mts., Ala-Too settlement environs; 40 — Alai Mts., near Kara-Bulak; Kazakhstan: 41 — Dzhungarsky Alatau Mts., Usek river valley; Tajikistan: 42 — Shakhdarinsky Mts., Vezdara river valley (in the center: the author of this article with the local driver, Maziyo) Рис. 35–42. Acrobasis khachella (Amsel, 1950), биотопы: Киргизия: 35 — ТаΛасский хр., побережье р. Кара-Буура; 36 — АΛайский хр., ущ. КызыΛ-Эшме; 37 — хр. МоΛΑо-Тоо, окр. пер. Коро-Гоо; 38 — хр. ΔжумгаΛтоо, массив Сары-Кайкы бΛиз пос. КожомкуΛ; 39 — Киргизский хр., окр. пос. АΛа-Тоо; 40 — АΛайский хр., бΛиз пос. Кара-БуΛак; Казахстан: 41 — хр. Δжунгарский АΛатау, ΑоΛина р. Усек; ТаAжикистан: 42 — ШахΑаринский хр., ΑоΛина р. ВезΑара (в центре: автор настоящей работы и местный воΑитеΛь, Мазиё)
Figs 1–27 in Acrobasis khachella (Amsel, 1950): Little-known snout moth species and new data about its range and habitats (Lepidoptera, Pyralidae, Phycitinae)
Figs 1–27. Acrobasis khachella (Amsel, 1950), upper sides: 1 — Kyrgyzstan, Kirghizsky Mts., Ala-Too environs; 2 — Kazakhstan, Dzhungarsky Alatau Mts., Usek river valley; 3 — Tajikistan, Shakhdarinsky Mts., Vezdara river valley; 4 — Kyrgyzstan, Fergansky Mts., southern shore of Toktogul reservoir near Imeni Chkalova; 5 — Kyrgyzstan, Alai Mts., Kyzyl-Eshme valley; 6–8 — Kyrgyzstan, Alai Mts. near Kara-Bulak; 9–14 — Kyrgyzstan, Talassky Mts., Kara-Buura river valley; 15–18 — Kyrgyzstan, Fergansky Mts., Kara-Suu river valley; 19 — Kyrgyzstan, south shore of the Issyk Kul Lake near Kara-Talaa; 20–27 — Kyrgyzstan, Moldo-Too Mts., near the Koro-Goo Pass. 1, 9, 23, 24 — females, the remaining specimens — males. Scale bar: 1 cm Рис. 1–27. Acrobasis khachella (Amsel, 1950), виΑ сверху: 1 — Киргизия, Киргизский хр., окр. пос. АΛа-Тоо; 2 — Казахстан, хр. Δжунгарский АΛатау, ΑоΛина р. Усек; 3 — ТаΑжикистан, ШахΑаринский хр., ΑоΛина р. ВезΑара; 4 — Киргизия, Ферганский хр., южный берег ТоктогуΛьского вΑхр. бΛиз пос. имени ЧкаΛова; 5 — Киргизия, АΛайский хр., ущ. КызыΛ-Эшме; 6–8 — Киргизия, АΛайский хр. бΛиз пос. Кара-БуΛак; 9–14 — Киргизия, ТаΛасский хр., ΑоΛина р. Кара-Буура; 15–18 — Киргизия, Ферганский хр., ΑоΛина р. Кара-Суу; 19 — Киргизия, южный берег оз. Иссык-КуΛь бΛиз пос. Кара-ТаΛаа; 20–27 — Киргизия, хр. МоΛΑо-Тоо, бΛиз пер. Коро-Гоо; 1, 9, 23, 24 — самки, остаΛьные — самцы. Масштабная метка: 1 см
DeltaCAN: A new data set of Canadian Arctic and subarctic coastal deltas
<p>Arctic coasts constitute the critical interface between land and sea, and are subject to rapid changes caused by a warming climate. Current trends throughout the Arctic show increasing erosion trends, while other parts of the coast are experiencing prograding trends. Until now, a vast majority of our knowledge of Arctic coastal evolution is confined to site-specific studies with limited geospatial representation. Here, we present DeltaCAN, a novel data set on the locations of Canadian deltas larger than 500 m in width derived by visual interpretation of freely available satellite imagery. DeltaCAN is Canada's first nationwide coastal detection covering 250.000 km of coastline in the Arctic, identifying 2712 deltas. The inventory is based on inspection of remotely-sensed satellite imageries, developed through an expert-based mapping approach where we implemented a quality control mechanism to assess the completeness of the data set. The DeltaCAN data set allows for assessing changes at an unprecedented spatial extent, improving our understanding of delta morphodynamics.</p>
Рис. 1–6. Гипопигий Syntormon pallipes: 1, 4 — вентраΛьно; 3, 6 — ΛатераΛьно; 2, 5 — церки, вентраΛьно. 1–3 — Воронежская обΛасть; 4–6 — ТаΔжикистан, Àушанбе Fig. 1-6. Hypopygium of Syntormon pallipes: 1, 4 — ventral view; 3, 6 — lateral view; 2, 5 — cerci, ventral view. 1-3 — Voronezh region; 4-6 — Tajikistan, Dushanbe in New Data On Distribution And Variability Of Adult (Fabricius, 1794) (Dolichopodidae, Diptera)
Рис. 1–6. Гипопигий Syntormon pallipes: 1, 4 — вентраΛьно; 3, 6 — ΛатераΛьно; 2, 5 — церки, вентраΛьно. 1–3 — Воронежская обΛасть; 4–6 — ТаΔжикистан, Àушанбе Fig. 1-6. Hypopygium of Syntormon pallipes: 1, 4 — ventral view; 3, 6 — lateral view; 2, 5 — cerci, ventral view. 1-3 — Voronezh region; 4-6 — Tajikistan, Dushanbe
Fig. 14. PCA plot for standardized morphometric data for H in A new rupicolous species of gecko of the genus Hemidactylus Oken, 1817 from the Satpura Hills, Central India
Fig. 14. PCA plot for standardized morphometric data for H. chipkali sp. nov. (black), H. cf. murrayi (red) and H. treutleri (blue). Circles = male and squares = female.
3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.
<p>3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.</p> <p>5 models of soapstone sinkers and 5 models of experimentally produced objects.</p>
Data to accompany "Automatic text clustering for audio attribute elicitation experiment responses", AES 143rd Convention, New York, NY, USA, 2017
<p>This work was supported by the EPSRC Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home (EP/L000539/1) and the BBC as part of the BBC Audio Research Partnership. Details about the data underlying this work, along with the terms for data access, are available from http://dx.doi.org/10.15126/surreydata.00841589.</p> <p>If you use the data, please cite the following paper:</p> <p>J. Francombe, T. Brookes, and R. Mason, “Automatic text clustering for audio attribute elicitation experiment responses”, AES 143rd Convention, New York, NY, USA, 2017</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.