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FIGURE 1. Odontonema aliciae. A. Habit showing distal leaves with subauriculate bases and inflorescence. B. Habit and habitat. C. Capsule. D. Seed. A, B from the type A in Odontonema aliciae, a New Heterostylous Species of Acanthaceae from Panama
FIGURE 1. Odontonema aliciae. A. Habit showing distal leaves with subauriculate bases and inflorescence. B. Habit and habitat. C. Capsule. D. Seed. A, B from the type A. Ibáñez et al. 6928, photos by A. Ibáñez, used with permission; C, D from Nee & Andres 46341.
Data from: defining the pyro-thermal niche: do seed traits, ecosystem type and phylogeny influence thermal thresholds in seeds with physical dormancy
<p>Seeds are a key pathway for plant population recovery following disturbance. To prevent germination during unsuitable conditions, most species produce dormant seeds. In fire-prone regions, physical dormancy (PY) enables seeds to germinate after fire. The thermal niche, incorporating seed dormancy and mortality temperature responses, has not been characterised for PY seeds from fire prone environments.</p> <p>We aimed to assess variation in thermal thresholds between species with PY seeds and if the pyro-thermal niche is aligned with seed mass, ecosystem type or phylogenetic relatedness.</p> <p>We collected post heat-shock germination data for 58 Australian species that produce PY seeds. We applied species-specific thermal performance curves to define three critical thresholds (DRT<sub>50, </sub>dormancy release temperature; T<sub>opt</sub>,<sub> </sub>optimum dormancy release temperature and LT<sub>50</sub>, lethal temperature), defining the pyro-thermal niche. Each species was assigned a mean seed weight and ecosystem type. We constructed a phylogeny to account for species relatedness and calculated phylogenetic signal (h<sup>2</sup>) for LT<sub>50,</sub> T<sub>opt</sub>, and<sub> </sub>DRT<sub>50</sub>.</p> <p>Seeds of <em>Pomaderris</em> (Rhamnaceae) had the highest T<sub>opt</sub> and LT<sub>50</sub>, and <em>Pomaderris bodalla</em> having the highest DRT<sub>50 </sub>of 101.3°C. Seeds from species within this family exhibited higher temperature thresholds than those from Fabaceae. Seed mass was only influential in explaining LT<sub>50 </sub>variation.</p>
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph) in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph)
Рис. 4. Распределение станций отбора проб по глубине и типу грунта (круЖком обведены станции, на которых макробентос не обнаруЖен; БО – биогенные остатки, ГМ – галька мелкаЯ, Гр – гравий, И – ил, П – песок). Fig. 4. Distribution of sampling stations by depth and type of bottom sediments (circles are around the stations where no macrobenthos was detected; БО – biogenic residues, ГМ – pebbles, Гр – gravel, И – silt, П – sand). in Species composition and distribution of bivalve mollusks in plankton and benthos in Nevelsky Strait in summer
Рис. 4. Распределение станций отбора проб по глубине и типу грунта (круЖком обведены станции, на которых макробентос не обнаруЖен; БО – биогенные остатки, ГМ – галька мелкаЯ, Гр – гравий, И – ил, П – песок). Fig. 4. Distribution of sampling stations by depth and type of bottom sediments (circles are around the stations where no macrobenthos was detected; БО – biogenic residues, ГМ – pebbles, Гр – gravel, И – silt, П – sand).
Updates applied to Flemish online news and their associated change types
<p>This dataset contains 291,666 news articles produced by six different Flemish online news outlets (VRT NWS, Knack, Het Laatste Nieuws, Het Nieuwsblad, De Morgen, De Standaard), together with (in total 197,979) updates applied to these news articles in the first 24 hours after publication. The respective article versions (one row per article version that has been put online over time) can be found in the 'article_versions_vrt.csv', 'article_versions_knack.csv', 'article_versions_hln.csv', 'article_versions_nieuwsblad.csv', 'article_versions_demorgen.csv' and 'article_versions_standaard.csv'. Documentation regarding the meaning of the attributes in these files is provided in 'article_versions_README.txt'.</p> <p>Next to this dataset, we also provide a coded set of changes made during a subset of the news updates in 'coded_article_change_types.csv'. The file contains all text extracts that are part of a specific change, together with the type of the change to which the text extract belongs. Corresponding documentation is provided in 'coded_article_change_types_README.txt'.</p>
Role of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland - Data and Material.
<p>This data repository includes different datasets for fuel types, burn severity, fire radiative power and burned area, which were analysed and used in our paper on the <strong>Role of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland</strong>.</p> <p>Study area: National Park Bohemian and Saxon Switzerland and conservation areas, Germany and Czech Republic.</p> <p>Burn severity:<br>dnbr_fire22.nc – Burn severity data covering the burned area, which has been calculated with the Difference Normalized Burn Index (dNBR) using Sentinel-2 and Landsat 8, 9 images. Remote sensing images were reprojected and resampled to 10 m to ensure harmonization before index calculation.</p> <p>cbi.csv – Burn severity surveyed in the field in autumn 2022 as validation data for the dNBR. Contains: ID, coordinates, CBI, CBI values separated for different strata (A to E) and individual strata variables, forest type and species for intermediate trees (strata D) and tall trees (strata E), and the dNBR value that covered the plot extent.</p> <p>Burned area:<br>burned_area.shp – Burned area was mapped by rangers in the Saxon Switzerland National Park and was taken from the dataset provided by the Copernicus Emergency Management Service (EMS) for the Bohemian Switzerland National Park.</p> <p>FRP:<br>frp.nc - Fire Radiative Power gridded to 300 m and clipped to the burned area. FRP during the main fire spread 24/07/22 - 29/07/22. </p> <p>Fuel:<br>fueltype_bohemiansaxonswitzerland.nc/fueltype_bohemiansaxonswitzerland_postfire.nc – Raster datasets (10m spatial resolution, EPSG:32633) of fuels present in the area before and after the fire. The fuel classification system can be found in the fuel_classification.xlsx.</p> <p>fuel_classification.xlsx – The fuel type classification system for the study area. Fuel type ID's as seen in fueltype_bohemiansaxonswitzerland.nc (pre- and postfire).</p>
Data for: Temporal variation of soil microarthropods in different forest types and regions of Central Europe
<p>Biodiversity and biomass of aboveground arthropods in Central European forests continuously declined during the last decade. However, whether belowground microarthropod communities follow similar patterns has not been investigated. In this study, we compared the abundance, diversity, community composition, stability and asynchrony of oribatid mites (Acari: Oribatida) sampled in four forest types of increasing management intensity (unmanaged beech, old managed beech, young managed beech, and coniferous) at three-year intervals from 2008 to 2020. Forest sites were replicated in three regions in southern, central and northern Germany, i.e. the Swabian Alb, Hainich-Dün and the Schorfheide Chorin, which differ in soil characteristics and climate. We found 25,152 individuals and 121 species of oribatid mites and detected no linear decline in abundance and diversity over the last decade, suggesting that microarthropods in forest soils are buffered against land-use effects. However, we observed that years with low winter precipitation in regions with soils that are prone to drought, resulted in significant decreases in oribatid mite densities. Community compositions remained similar across sampling years, but differed between regions and forest types, predominantly due to differences in the proportion of asexual individuals. The stability of oribatid mite communities did not decrease in managed forests and was highest in deep soils with high water-holding capacity, which may reduce temporal variation, suggesting that soil properties are more important for the stability of oribatid mite communities than forest management. However, stability patterns were not explained by asynchrony in species fluctuations, as all communities either showed a high degree of synchrony or were not different from random. Our study highlights that the temporal dynamics of belowground communities may differ from those aboveground, and that regional differences in precipitation and soil properties are more important than forest types.</p>
Fig. 1. Type RNHL 1809 in Extinction of Japan's first formally described earthworm (Horst, 1883) (Annelida, Oligochaeta, Megadrilacea, Megascolecidae).
Fig. 1. Type RNHL 1809 of Amynthas japonicus in Leiden (courtesy of J. Bleeker Sept., 2016). This is the only known specimen and image of this Japanese species (cf. M. sieboldi – http://www. geocities.jp/at_mocha/mimizu/sieboldi-3.html).
Computational Investigation of Co-Aggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Crosstalk in Alzheimer's Disease and Type-2 Diabetes
<p><span>The coexistence of Amyloid-β (Aβ) and human Islet Amyloid Polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer’s disease (AD) and type-2 diabetes (T2D) due to their co-aggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ<sub>10–21</sub> and Aβ<sub>30–41</sub>) and hIAPP (hIAPP<sub>8-20</sub> and hIAPP<sub>22-29</sub>), driving their self-aggregation, also exhibited a strong tendency for cross-interaction. This propensity led to the formation of β-sheet-rich hetero-complexes, including potentially toxic β-barrel oligomers. The formation of Aβ and hIAPP hetero-aggregates did not impede the recruitment of additional peptides to grow into larger aggregates. Our cross-seeding simulations demonstrated that both Aβ and hIAPP fibrils could<a name="_Hlk163119646"></a> mutually act as seeds, assisting each other's monomers in converting into β-sheets at the exposed fibril elongation ends. The amyloidogenic core regions of Aβ and hIAPP, in both oligomeric and fibrillar states, exhibited the ability to recruit isolated peptides, thereby extending the β-sheet edges, with limited sensitivity to the amino acid sequence. These findings suggest that targeting these regions by capping them with amyloid-resistant peptide drugs may hold potential as a therapeutic approach for addressing AD, T2D, and their co-pathologies.</span></p>
Structural Homology of Epitope Pair Candidates for Molecular Mimicry Trigger of Type 1 Diabetes Mellitus
<p><strong><em><span>Background:</span></em></strong><span> </span><span>Molecular mimicry, where foreign and self-peptides contain similar epitopes, can induce autoimmune responses. Identifying potential molecular mimics and studying their properties is key to understanding the onset of autoimmune diseases such as type 1 diabetes mellitus (T1DM). Previous work identified pairs of infectious epitopes (E<sub>INF</sub>) and T1DM epitopes (E<sub>T1D</sub>) that demonstrated sequence homology; however, structural homology was not considered. Correlating sequence homology with structural properties is important for streamlining translational investigation of potential molecular mimics. Therefore, the purpose of this work is to compare sequence homology with structural homology by calculating the structures and electrostatic potential surfaces of the epitope pairs identified in previous work from our laboratory. </span></p> <p><strong><span> </span></strong><strong><em><span>Results:</span></em></strong><span> </span><span> For each epitope pair the root mean square deviation (RMSD) was calculated between their predicted structures and their electrostatic potentials were compared. Structures were predicted using the AlphaFold software program. </span><span>Of the 52 epitope pairs considered here only 10 do not exhibit any matching (i.e. less than 3 residues overlap). When considering all residues the RMSD ranges from 0.33 Å to 11.66 Å with an average of 2.68 Å. Twenty-two pairs (42%) have RMSD of less than 1.5 Å and 30 (58%) less than 3 Å. Even some of the matching pairs show some electrostatic similarities that need to be considered. In general there is good agreement between the folding predicted for the isolated </span><span>E<sub>INF</sub></span><span> and E<sub>T1D</sub> epitopes and the folding of the corresponding amino acid sequence in the parent antigen, but in some cases there are deviation that need to be considered, even when the RMDS is small.</span></p> <p><span> </span><strong><em><span>Conclusions:</span></em></strong><span> </span><span>Despite differences, most of the E<sub>INF</sub><span>/</span>E<sub>T1D </sub>pairs selected by sequence homology show similar structural and electrostatic distributions, indicating that the E<sub>INF</sub> may bind to the same protein targets, the major histocompatibility complex molecules, for T1DM, leading to molecular mimicry onset of the disease. These findings suggest that searching for epitope pairs using sequence homology, a much less computationally demanding approach, leads to strong candidates for molecular mimicry that should be considered for further study. Still structure and full docking calculations will be necessary to advance the in-silico molecular mimicry predictions. </span> Here we presnt the following files:</p> <p><span><span>·<span> </span></span></span>Fasta files of all epitopes studied.</p> <p><span><span>·<span> </span></span></span>Alphafold calculated Structures of all epitopes.</p> <p><span><span>·<span> </span></span></span>Antigen structures.</p> <p><span><span>·<span> </span></span></span>Epitope pair structure comparison and their electrostatics.</p> <p> </p> <p> </p>
А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)]. in Curtitoma nodulosa (Krause, 1885) comb. nov. (Gastropoda: Mangeliidae), a rare species twice described from the northern part of Bering Sea
А – типовые местонахоЖдениЯ: Зал. ЛаврентиЯ (красный маркер), б. ПровидениЯ (Зеленый маркер); B, B' – иЗобраЖениЯ раковины (B) и Зуба радулы (B') Bela violacea var. nodulosa. Вр=14.5 мм, ДЗ=0.25 мм, иЗ: Krause [1885, pl. 18, figs. 4, 12]; C, C' – синтип Bela violacea var. nodulosa (C) и увеличенный участок предпоследнего оборота (C'), ZMB 37860, Вр=12 мм (фотографиЯ – с раЗрешениЯ ZMB); D–I – иЗменчивость Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN беЗ номера, ЗФИ, о-в Аполлонова, Американский Залив, 3–4 м. Вр=8.2 мм; E – Defrancia becki. ZIN беЗ номера, ЗФИ, о-в Кука, 3–4 м. Вр=9.1 мм; F – Bela violacea var. laevior. Вр=12 мм, иЗ: Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Баренцево море, Югорский Шар, 13 м. Вр=8.7 мм; H – Pleurotoma bicarinata. ZIN 41203/156, ЗФИ, о-в ГрЭм-БЭм, 12–15 м. Вр=8.4 мм; I, I' – Зубы радулы типичной (I) и беЗкилевой (I') форм. ДЗ=0.12 мм и 0.21 мм, соответственно, иЗ: [Sars, 1878, pl. 9, figs. 7, 8]; J – иЗобраЖение раковины Lora inequita. Вр=11 мм, иЗ: Dall [1919, pl. 16, fig. 9]; K – голотип Lora inequita, USNM 222238. Вр=11 мм (фотографиЯ – с раЗрешениЯ USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: раковины (L) и Зуб радулы (L'). Вр=12 мм и 11.6 мм, соответственно, ДЗ=0.15 мм, иЗ: Богданов [1990, рис. 175, 176, 422 (7)]. A – type localities: Lawrence Bay (red circle), Providence Bay (green circle); B, B' – images of the shell (B) and tooth of the radula (B') of Bela violacea var. nodulosa. H=14.5 mm, L=0.25 mm, after Krause [1885, pl. 18, figs. 4, 12]; C, C' – a syntype of Bela violacea var. nodulosa (C) and the enlarged section of the penultimate whorl (C'), ZMB 37860, H=12 mm (photo – courtesy of ZMB); D–I – variability of Curtitoma violacea: D – Pleurotoma violacea var. brevis. ZIN uncatalogued, Franz Josef Land, Apollonova Isl., American Gulf, 3–4 m. H=8.2 mm; E – Defrancia becki. ZIN uncatalogued, Franz Josef Land, Cook Isl., 3–4 m. H=9.1 mm; F – Bela violacea var. laevior. H=12 mm, after Sars [1878, pl. 17, fig. 3]; G – Bela bicarinata var. geminolineata. ZIN 21324/28, Barents Sea, Ugra Shar, 13 m. H=8.7 mm; H – Pleurotoma bicarinata. ZIN 41203/156, Franz Josef Land, Graham-Bam Isl., 12–15 m. H= 8.4 mm; I, I' – teeth of typical (I) and keelless (I') forms. L=0.12 mm and 0.21 mm, respectively; after Sars [1878, pl. 9, figs. 7,8]; J – image of Lora inequita. H=11 mm, after Dall [1919, pl.16, fig. 9]; K – the holotype of Lora inequita, USNM 222238. H=11 mm (photo – courtesy of USNM); L, L' – Oenopota inequita sensu Bogdanov non Dall: shells (L) and tooth (L'). H=12 mm and 11.6 mm, respectively, L=0.15 mm, after Bogdanov [1990, figs. 175, 176, 422 (7)].
Morphospace disparity and species diversity in Sri Lankan phytophagous scarab beetles – a comparison by forest types, altitude, and sites
<p>The files contain the supporting information and raw data of the masnucript, Morphospace disparity and species diversity in Sri Lankan phytophagous scarab beetles – a comparison by forest types, altitude, and sites.</p> <p>It includes the following:</p> <p><strong>Raw Data:</strong></p> <p><strong><span>Suppl. Table 1: </span></strong><span>Details of sampling sites (Sri Lanka); L number, coordinates, elevation, elevation zone and forest types. </span><span>Elevation zones; EZ1: 0-500m, EZ2: 501-1000m, EZ3: 1001-1500m, EZ4: 1501-2000m, EZ5; 2001-2500m. </span><span>Forest types; WL: evergreen wet lowland forests, DL: evergreen dry lowland forests, SM: sub-montane forests, MO: montane forests.</span></p> <p><strong>Suppl. Table 2. </strong>Morphometric measurements and metadata of all studied specimens. Metadata include species identification, voucher number, occurrence data regarding sampling location in Sri Lanka, elevation zone (EZ), and forest type (F). Units of measurements are mm. WL: evergreen wet lowland forests, LD: evergreen dry lowland forests, SM: sub-montane forests, MO: montane forests; EZ1: 0-500m, EZ2: 501-1000m, EZ3: 1001-1500m, EZ4: 1501-2000m, EZ5; 2001-2500m; L1: Aranayake; L2: Riverston; L3: NIFS Arboretum; L4: Deenston; L5: Nuwara Eliya; L6: Horton Plains; L8: Hiyare; L9: Kottawa; L10: Kanneliya; L11: Piduruthalagala; L12: Uda Peradeniya; L13: Gannoruwa; L14: Udawattakele. Morphological measurements abbreviations are explained in Sup. Fig.1.</p> <p><strong>Results:</strong></p> <p><strong><span>Suppl. Table 3: </span></strong><span>Proportion of</span><strong><span> </span></strong><span>variance explained by PC axes in principal component analysis for the data subsets of lineages </span><span>(derived from shape and size data). Values of axes reflecting the 95% of explained cumulative variation are highlighted in bold.</span></p> <p><strong><span>Suppl. Table 4</span></strong><strong><span>: </span></strong><span>Euclidean distances between species (mean/median/maximum) for shape and size partitioned by </span><span>forest types </span><span>and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span><span>WL: Wet lowland; DL: Dry lowland; SM: Sub-montane; MO: Montane.</span></p> <p><strong><span>Suppl. Table 5: </span></strong><span>Euclidean distances between species mean/median/maximum) for shape and size partitioned by elevational zones and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span><span>EZ1: 0-500m. EZ2: 501-1000m. EZ3: 1001-1500m. EZ4: 1501-2000m. EZ5: 2001-2500m.</span></p> <p><strong><span>Suppl. Table 6: </span></strong><span>Euclidean distances between species (mean/median/maximum) for shape and size partitioned by localities (L1-14), and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span></p> <p><strong><span>Suppl. Table 7</span></strong><strong><span>: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for shape and size <u>forest types</u> and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics. WL: Wet lowland; DL: Dry lowland; SM: Sub-montane; MO: Montane.</span></p> <p><strong><span>Suppl. Table 8</span></strong><strong><span>: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores for shape and size partitioned for <u>elevational zones</u> and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics. EZ1: 0-500m. EZ2: 501-1000m. EZ3: 1001-1500m. EZ4: 1501-2000m. EZ5: 2001-2500m.</span></p> <p><strong><span>Suppl. Table 9: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for <u>localities</u> and lineages for shape (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics.</span></p> <p><strong><span>Suppl. Table 10: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for <u>localities</u> and lineages for size (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics.</span></p> <p> </p> <p><strong>Figure S1.</strong> Illustration of the measured morphological traits (after Eberle et al., 2014). Schematic drawings of a Sericini beetle, in (A) dorsal, (B) ventral, and (C) lateral aspect. Body: BH - maximal body height, EH - maximal elytra height, EL - maximal elytra length, Eld - maximal diagonal elytra length, Elmb - length from maximal body width to elytral apex, EW - maximal elytra width, Ewb - elytral width at middle of scutellum, PL - maximal pronotum length, PW - maximal pronotum width; Head: ED - maximal eye diameter, HW - maximal head with including eyes, IOD - minimal interocular distance (dorsal view); Legs: MCL - maximal length of metacoxa, MFL - maximal length of metafemur, MFW - maximal width of metafemur, MTL - maximal length of metatibia, MTW - maximal width of metatibia, PFL - maximal length of profemur, PFW - maximal width of profemur, PTL - maximal length of protibia.</p> <p><strong>Figure S2.</strong> Biplots of PC1 and 2 from principal components analysis, illustrating trait contribution to the principal patterns of morphospace (raw measurements). Trait abbreviations are explained in Figure S1.</p> <p><strong>Figure S3. </strong>Patterns of morphospace disparity of all Pleurosticts derived from raw measurements in individual localities. Symbols represent genus or other family-group level, color of symbols single species.<br> <br><strong>Figure S4. </strong>Patterns of morphospace disparity of Sericini derived from raw measurements in individual localities. Colored dots represent single species. Locality L12 had no Sericini recorded.<br> <br><strong>Figure S5. </strong>Patterns of morphospace disparity (PCA plots of PC1 and PC2) derived from raw measurements of Sericini chafers partitioned for forest types (A), elevation zones (B), localities (C)(enlarged visualization from Fig. 2). Colored dots represent single species, outlines grouping entities grouped by forest types, elevation zone, or locality.</p>
Рис. 1. ВоЗмоЖный синтип Mactra sulcataria Deshayes in Reeve, 1854 иЗ коллекции МуЗеЯ естественной истории, Лондон (коллекциЯ Х. Каминга), регистрационный номер № NHMUK 20130005. Рисунок Этого ЭкЗемплЯра опубликован Л. Ривом [Reeve, 1854, pl. 2, fig. 5]; воспроиЗведен в настоЯЩей статье (рис. 2А). in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Рис. 1. ВоЗмоЖный синтип Mactra sulcataria Deshayes in Reeve, 1854 иЗ коллекции МуЗеЯ естественной истории, Лондон (коллекциЯ Х. Каминга), регистрационный номер № NHMUK 20130005. Рисунок Этого ЭкЗемплЯра опубликован Л. Ривом [Reeve, 1854, pl. 2, fig. 5]; воспроиЗведен в настоЯЩей статье (рис. 2А).
Fig. 2 in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Fig. 2. Illustrations of Mactra sulcataria Deshayes in Reeve, 1854 in monographs of the 19th century: A – Reeve [1854, pl. 2, fig. 5]; B – Weinkauff [1881, Taf. 18, Fig. 3]; in references as: Küster, Weinkauff [1841–1884].
Рис. 3. ОписаниЯ Mactra sulcataria Deshayes in Reeve, 1854 в статье Ж.П. ДехЭ [Deshayes, 1854, p. 15] (вверху) и монографии Л. Рива [Reeve, 1854, species 5] (вниЗу). in Notes on type material of Mactra sulcataria Deshayes in Reeve, 1854 (Bivalvia: Mactridae) and taxonomic history of the species
Рис. 3. ОписаниЯ Mactra sulcataria Deshayes in Reeve, 1854 в статье Ж.П. ДехЭ [Deshayes, 1854, p. 15] (вверху) и монографии Л. Рива [Reeve, 1854, species 5] (вниЗу).
Fig. 13. Lamprobityle magnifica Heller, 1923 in Type specimens of the genera Doliops Waterhouse, 1841 and Lamprobityle Heller, 1923 (stat. nov.) (Coleoptera: Cerambycidae) and description of two new species deposited in Senckenberg Natural History collections Dresden, Germany
Fig. 13. Lamprobityle magnifica Heller, 1923 (=Doliops magnifica (Heller, 1923)) (A – dorsal view, B – lateral view, C – labels)
FIG. 7 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 7. — Batrachopus deweyi (Hitchcock, 1843) Hitchcock, 1845: A-C, trackway ULB-04C10_E, photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C); D-F, pes/manus set 04C10_A_1 (holotype of "B. gilberti" that is here invalidated), photograph (D), DEM and false-colour depth map (E) and interpretative sketch (F); G-I, pes/manus set 04C14_C, photograph (G), DEM and false-colour depth map (H) and interpretative sketch (I); J-L, pes/manus set 04C14_C, photograph (J), DEM and false-colour depth map (K) and interpretative sketch (L). Scale bars represent: A-C, 10 cm; D-L, 1 cm.
FIG. 8 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 8. — Tracks ascribed to Dahutherium sp. by Lapparent & Montenat (1967) and that are here reinterpreted: A-C, two superimposed tridactyl grallatorid footprints, ULB-04C18_B, photograph (A), interpretative sketch of Lapparent & Montenat (1967) (B), and our interpretation (C), showing a small footprint (dark grey) and larger footprint (light grey); D-F, Batrachopus isp., ULB-04C15_A, photograph (D), interpretative sketch of Lapparent & Montenat (1967) (E), and our interpretation (F). Scale bars: A-C, 5 cm; D-F, 2 cm.
FIG. 11 in Crocodylomorph and dinosaur tracks from the lowermost Jurassic of Le Veillon (western France): ichnotaxonomic revision of the type material (Lapparent collection)
FIG. 11. — Plaster cast of one footprint from the type trackway of "Saltopoides igalensis", that is here invalidated: A-C, track ULB-04C01_B, photograph (A), DEM and false-colour depth map (B) and interpretative sketch (C). Scale bars: 5 cm.
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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.