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FIG. 2 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 2. — Ceratolejeunea minor Mizut.: A, part of plant in ventral view; B, C, leaves; D, upper part of leaf lobule when flattened (hyaline papilla shown in gray); E, marginal leaf lobe cells; F, G, underleaves; H, cross-section of stem; I, median leaf lobe cells; J, basal leaf lobe cells and ocelli. From E. Pesiu et al. 19157. Scale bars: A, 0.2 mm; B-C, 0.5 mm; F, G, 0.1 mm; D, E, H-J, 50 µm.
FIG. 14 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 14. — Radula grandilobula Promma & Chantanaorr.: A, part of plant in ventral view; B, C, leaves; D, median leaf lobe cells; E, leaf lobule and rhizoids (hyaline papilla shown in gray); F, perianth and female bracts; G, cross-section of stem; H, gemma. From G.E. Lee et al. 19022. Scale bars: A, F, 0.5 mm; B, C, 0.2 mm; D, G, 50 µm; E, H, 100 µm.
FIG. 3 in Data to the Malaysian liverwort flora, III: New Lejeuneaceae records from Sabah and Peninsular Malaysia
FIG. 3. — Ceratolejeunea singapurensis (Lindb.) Schiffn.: A, part of plant in ventral view; B, C, leaves; D, E, upper part of leaf lobule when flattened (hyaline papilla shown in gray); F, H, I, underleaves; G, cross-section of stem; J, K, basal leaf lobe cells and ocelli. From G.E. Lee et al. 19012. Scale bars: A-C, 0.2 mm; D, E, G, 50 µm; F, H-J, K 100 µm.
Data used in the GRL paper (2023GL103545) entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation"
<p>We are depositing data used in our manuscript entitled "Synergetic Effects of Isoprene and HOx on Biogenic New Particle Formation" submitted to Geophysical Research Letters for publication, as required by the AGU publication policy.</p> <p>Main Figure 1 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Main Figure 2 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 3 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Main Figure 4 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip, as well as modelling data available in ModelData.zip</p> <p>Supporting Figure S2 was prepared using June 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S3 was prepared using July 2022 particle data from the SMPS and PSM instruments, available in SMPS_PSM.zip</p> <p>Supporting Figure S4 was prepared using modelling data available in ModelData.zip</p> <p>Supporting Figure S5 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S6 was prepared using July 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Supporting Figure S7 was prepared using GC Calbiration data from the GC-FID, available in the "Figure S7" folder in Figures.zip</p> <p>Supporting Figure S8 was prepared using NH3 CIMS data available in NH3CIMS.zip</p> <p>Supporting Figure S9 was prepared using December 2022 mass spectrometer data from the CI-APi-TOF, available in APiTOF.zip</p> <p>Each archive contains a readme file describing the individual data sets in additional detail.</p>
Large marine predator aerial survey data for Hauraki Gulf, New Zealand
<p>Large marine predators, such as cetaceans and sharks, play a crucial role in maintaining biodiversity patterns and ecosystem health. Despite the recognised importance of these animals and their over-representation as threatened species, distribution data at appropriate temporal and spatial scales is often lacking or insufficient for effective conservation. </p> <p>Here, we present sightings of large marine megafauna recorded from a replicate systematic aerial survey undertaken in the Hauraki Gulf, Aotearoa New Zealand during a full year. Using flexible machine learning models (Boosted Regression Tree models), we use these sightings data to investigate relationships between large marine predator occurrence (Bryde's whales, common and bottlenose dolphins, bronze whalers, pelagic and immature hammerhead sharks) and spatially explicit environmental and biotic variables to predict species richness of large marine predators and investigate their fine-scale spatiotemporal distribution patterns. All models were considered informative (all, AUC > 0.78), and temporally dynamic variables, such as the distribution of prey, were important in predicting the occurrence of the study species and species groups. </p> <p>Our approach and data highlight the value of multi-species surveys and the importance of considering temporally variable abiotic and biotic drivers for understanding biodiversity patterns when informing ecosystem-scale conservation planning and dynamic ocean management.</p> <p>We provide data files of:</p> <ul> <li>Locations of species presence / pseudo absence location over time (in .csv format) and associated environmental and biotic variables for Bryde's whales, common and bottlenose dolphins, bronze whaler, pelagic and immature hammerhead sharks.</li> <li>Monthly estimates of 14 high-resolution spatially explicit environmental and biotic variables (1 km grid resolution): Bathymetry; Slope; Distance from shore; Distance to 40m depth; Sand; Mud; Gravel; Seabed disturbance; Tidal current; Chlorophyll a; Sea surface temp; Distance to plankton; Distance to prey (saved as .R data)</li> <li>Model objects, R code, and model outputs of the Boosted Regression Tree modelling.</li> <li>Predicted monthly distributions (and associated spatially explicit uncertainty) of Bryde's whales, common dolphins, bottlenose dolphins, bronze whaler sharks, pelagic sharks, immature hammerhead sharks, and richness of large marine predators in the Hauraki Gulf, New Zealand, (January to December). Monthly richness estimates of large marine predators.</li> </ul>
MESMAR v1: A new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region. Article data
<p>Regional coupled and Earth System models are fundamental numerical tools for climate investigations, downscaling of predictions and projections, process-oriented understanding of regional extreme events, and many more applications. Here we introduce a newly developed coupled regional modeling framework for the Mediterranean region, called MESMAR (Mediterranean Earth System model at ISMAR) version 1, which is composed of the WRF atmospheric model, the NEMO oceanic 15 model, and the HD hydrological discharge model, coupled via the OASIS coupler. The model is implemented at moderate resolution (about 1/12° for the ocean and river routing, while twice coarser for the atmosphere) for long-term investigations.</p> <p>The gzipped tarball contains data files contained in the manuscript associated with the MESMARv1 description and submitted to Geoscientific Model Developments:</p> <p>MESMAR v1: A new regional coupled climate model for downscaling, predictability, and data assimilation studies in the Mediterranean region</p> <p>by Andrea Storto, Yassmin Hesham Essa, Vincenzo de Toma, Alessandro Anav, Gianmaria Sannino,<br> Rosalia Santoleri, Chunxue Yang</p>
Fig. 1 in Three new earthworm species of Microchaetus Rapp, 1849, and new data on two earlier known species of this genus (Oligochaeta: Microchaetidae)
Fig. 1. Microchaetus griphus sp. n. Clitellar region, ventral view with clitellum and tubercula pubertatis. C = clitellum. T = tubercula pubertatis; P = papilla of segment 13.
Fig. 2 in Three new earthworm species of Microchaetus Rapp, 1849, and new data on two earlier known species of this genus (Oligochaeta: Microchaetidae)
Fig. 2. Microchaetus herberti sp. n. Ventral view of anterior part of body with clitellar region and tubercula pubertatis.
Data from: The origin of a new chromosome in gerbils
<p><span>Gerbil genomes have both an extensive set of GC-rich genes and chromosomes strikingly enriched for constitutive heterochromatin. We sought to determine if there was a link between these two phenomena and found that the two heterochromatic chromosomes of the Mongolian gerbil (<em>Meriones unguiculatus</em>) have distinct underpinnings: chromosome 5 has a large block of intra-arm heterochromatin as the result of a massive expansion of centromeric repeats (probably due to centromeric drive); while chromosome 13 is comprised of extremely large (>150kb) repeated sequences. We suggest that chromosome 13 originated when a functionally important 'seed' broke off from another chromosome and underwent multiple breakage-fusion-bridge cycles. Genes with the most extreme GC skew are encoded on this chromosome, most likely due to the restriction of recombination to a narrow permissive region (since GC bias is linked with recombination-associated processes). Our results demonstrate the importance of including karyotypic features such as chromosome number and the locations of centromeres in the interpretation of genome sequence data, and highlight novel patterns involved in the evolution of chromosomes.</span></p>
Figure 2 Sphaerozetes parafirthensisErmilov n in New faunistical data on oribatid mites (Acari, Oribatida) from Altai, Russia, with description of a new species of Sphaerozetes (Ceratozetidae)
Figure 2 Sphaerozetes parafirthensisErmilov n. sp., adult: a – subcapitulum, ventral view; b – palp, right, antiaxial view; c – chelicera, left, paraxial view; d – leg I, right, antiaxial view; e – leg II, right, antiaxial view (tarsus omitted); f – leg III, right, antiaxial view (tarsus omitted); g – leg IV, left, antiaxial view. Scale bars 100 μm (a, c–g), 10 μm (b).
Figure 1 Sphaerozetes parafirthensisErmilov n in New faunistical data on oribatid mites (Acari, Oribatida) from Altai, Russia, with description of a new species of Sphaerozetes (Ceratozetidae)
Figure 1 Sphaerozetes parafirthensisErmilov n. sp., adult: a – dorsal view (legs omitted); b – medioanterior part of prodorsum, dorsoanterior view; c – ventral view (gnathosoma and legs omitted); d – right lateral view (gnathosoma and legs omitted); e – posterior view (right half omitted). Scale bars 100 μm (a, c–e), 50 μm (b).
Data from: "Search for New Physics in Electronic Recoil Data from XENONnT"
<p>Those files contain data from Phys. Rev. Lett. 129, 161805 (2022), "Search for New Physics in Electronic Recoil Data from XENONnT" and are made available by the XENON Collaboration. V2 added solar axion limits.</p>
Figure 5. BEAST chronogram from a data set corresponding with Table 1 in Verifying Australian Nilotanypus Kieffer (Chironomidae) In A Global Perspective: Molecular Phylogenetic And Temporal Analyses, New Species And Emended Generic Diagnoses
Figure 5. BEAST chronogram from a data set corresponding with Table 1. Values at nodes are time to most recent common ancestor (tmrca) with HPD (95% Highest Posterior Density) intervals in parentheses. The time scale is in millions of years before present.
Figure 4 in New country records and further data to the stonefly (Plecoptera) fauna of southeast Macedonia
Figure 4. Macedonian specimen ofZwicknia acutaMurányi & Orci, 2014:A – male epiproct, lateral view, scale bar 0.5 mm;B – oscillogram showing a sequence of three calls, ambient air temperature was 18.2oC during the recording.
Figure 1 in New country records and further data to the stonefly (Plecoptera) fauna of southeast Macedonia
Figure 1. Collecting sites in the Anska Reka and Dojran Lake watersheds (altitudes above 200, 500 and 1000 meters are shaded in different grey). 1: Vodenic Stream at Motel Izvor; 2–3: macchia brook and creek at Dedeli; 4: Anska Reka tributary E ofČalakli; 5: Anska Reka at Kočuli settlement; 6: Činarli Stream above Bašibos; 7: Karani Stream above Bašibos; 8: macchia brook W of Nikoliќ.
Figure 3 in New country records and further data to the stonefly (Plecoptera) fauna of southeast Macedonia
Figure 3. Terminalia of the spring emergingLeuctra fuscagroup specimens:A – L. fusca fusca (Linnaeus, 1758) male, dorsal view;B – L. fusca fusca male, lateral view;C – L. graecaZwick, 1978 male, dorsal view;D – L. graecafemale, ventral view;E – L. bronislawi Sowa, 1970 male, dorsal view;F – L. bronislawifemale, ventral view. Scale bar 1 mm.
Figure 5 in New country records and further data to the stonefly (Plecoptera) fauna of southeast Macedonia
Figure 5. Habitats in the Anska Reka watersheds: A – Vodenic Stream at Motel Izvor; B – Anska Reka at Kočuli settlement;C – Karani Stream above Bašibos;D – macchia brook at Dedeli.
Figure 2. Larva ofRhabdiopteryx doiranensisIkonomov, 1983 in New country records and further data to the stonefly (Plecoptera) fauna of southeast Macedonia
Figure 2. Larva ofRhabdiopteryx doiranensisIkonomov, 1983:A – male habitus, dorsal;B –male terminalia, ventral; C – male terminalia, lateral;D – female terminalia, ventral;E – female terminalia, lateral. Scale bars 1 mm.
FIG. 33 in A new subfamily classification of the highly diversified Dorippidae H. Milne Edwards, 1837 (Crustacea, Decapoda, Brachyura, Dorippoidea), using morphological, molecular and palaeotonlogical data, with special emphasis on its unique female reproductive system
FIG. 33. — Callosities in Dorippoidinae n. subfam. (Dorippoides) and Dorippinae n. stat. (Dorippe): A, callosity reduced to a thin calcified band: Dorippoides facchino (Herbst, 1785), ♂ 25.3 × 32.0 mm, Malaysia, Johore, Pontian, ZRC 1991.6672. B, no apparent callosity in male Dorippoides nudipes Manning & Holthuis, 1986, ♂ 16.2 × 19.4 mm, Iran, ZRC 2017.1227. C, callosity as a thick, elongated bulge: Dorippe quadridens (Fabricius, 1793), ♂ 39.0 × 41.4 mm, Thailand, Pattani Province, ZRC 2003.0126. D-F, callosity as a hemicircular structure: close-up views from different angles: D, E. Dorippe sinica Chen, 1980. D, ♀ 36.2 × 39.5 mm, China, Guangdong, Nanao Island, ZRC 1999.0470; E, ♂ 36.6 × 38.6 mm, Japan, Kochi, Shikoku, SMF 57855. F, D. frascone (Herbst, 1785), ♂ 29.7 × 31.0 mm, Philippines, Exp. Panglao 2004, ZRC 2008.0076. G, H, callosity as an arched double cup: D. tenuipes Chen, 1980, South China Sea, ZRC 1999.0009: G, ovigerous ♀ 17.3 × 19.6 mm; H, ♂ 13.2 × 14.2 mm. Abbreviations: b, branchiostegite; c, callosity; cx2-cx5, P2-P5 coxae; f, sulcated part of coxa; l, onepiece lateroventral part of coxa; m, membrane; p, pleon; pr, process of retention of female pleonal somite 2; pl6, exposed pleurite 6; P2-P5, pereiopods 2-5; r, rim of carapace posterior margin; s, strip along posterior rim; 1, 2, pleonal somites 1, 2; t, bottom of callosity with special texture; 7, 8, thoracic sternites 7, 8.
FIG. 28. — Philippidorippinae n. subfam. Philippidorippe philippinensis Chen, 1986 in A new subfamily classification of the highly diversified Dorippidae H. Milne Edwards, 1837 (Crustacea, Decapoda, Brachyura, Dorippoidea), using morphological, molecular and palaeotonlogical data, with special emphasis on its unique female reproductive system
FIG. 28. — Philippidorippinae n. subfam. Philippidorippe philippinensis Chen, 1986: A-D, ♂ 23.0 × 29.3 mm, Philippines, Bohol Province, ZRC 2016.0240: A, ventral view; B, anterior region; C, thoracic sternum with pleon; D, thoracic sternum, G1. E, ♂ 25.0 × 30.0 mm, Philippines, MUSORSTOM 3, MNHN-IU-2018-5201 (= MNHN-B18913): thoracic sternum, G1 and G2.
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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.