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638 results for “biomes”
Text-fig. 11. a, b: Coriaria aff. myrtifolia. a: Oriolo MSF 647. b: Oriolo MSF 704. c, d: Populus aff. alba. c: Oriolo MSF 745. d: Oriolo MSF 725. e: Populus aff. tremula Oriolo MSF 749. f–h: Populus aff. nigra. f: Oriolo MSF 737. g: Oriolo MSF 742. h: Oriolo MSF 738. Scale bars 10 mm (a–d), 50 mm (e–h). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 11. a, b: Coriaria aff. myrtifolia. a: Oriolo MSF 647. b: Oriolo MSF 704. c, d: Populus aff. alba. c: Oriolo MSF 745. d: Oriolo MSF 725. e: Populus aff. tremula Oriolo MSF 749. f–h: Populus aff. nigra. f: Oriolo MSF 737. g: Oriolo MSF 742. h: Oriolo MSF 738. Scale bars 10 mm (a–d), 50 mm (e–h).
Text-fig. 14. a, b: Acer aff. campestre. a: Oriolo MSF 664. b: Oriolo MSF 666. c, d: Acer aff. monspessulanum. c: Oriolo MSF 641. d: Oriolo MSF 662. e: Acer aff. opulus subsp. obtusatum Oriolo MSF 669. f, g: Acer aff. cappadocicum subsp. lobelii. f: Oriolo MSF 675. g: Oriolo MSF 631. h, i: Cornus sp. Oriolo MSF 655, two views of a strongly folded leaf impression. Scale bars 50 mm (a, e–g), 10 mm (b–d, h, i). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. 14. a, b: Acer aff. campestre. a: Oriolo MSF 664. b: Oriolo MSF 666. c, d: Acer aff. monspessulanum. c: Oriolo MSF 641. d: Oriolo MSF 662. e: Acer aff. opulus subsp. obtusatum Oriolo MSF 669. f, g: Acer aff. cappadocicum subsp. lobelii. f: Oriolo MSF 675. g: Oriolo MSF 631. h, i: Cornus sp. Oriolo MSF 655, two views of a strongly folded leaf impression. Scale bars 50 mm (a, e–g), 10 mm (b–d, h, i).
Text-fig. A2. a: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). b: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). c: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885 detail of (a)). d, e: Ulmus elliptica K.KOCH, 1849 (herbarium E00034393). f, g: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413489). h: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413488). Asterisks indicate different types of asymmetric leaf base. Scale bars 50 mm (a, d, e, f), 10 mm (b, c, g, h). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. A2. a: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). b: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). c: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885 detail of (a)). d, e: Ulmus elliptica K.KOCH, 1849 (herbarium E00034393). f, g: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413489). h: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413488). Asterisks indicate different types of asymmetric leaf base. Scale bars 50 mm (a, d, e, f), 10 mm (b, c, g, h).
Text-fig. A3. a: Leaf morphotype 1 Tebano MSF SG 049. b: Leaf morphotype 2 Oriolo MSF 631. c: Leaf morphotype 3 Oriolo MSF n.n. d, f: Leaf morphotype 4. d: Oriolo MSF 891. e: Oriolo MSF 856. f: Oriolo MSF 858. g: Leaf morphotype 5 Oriolo MSF 783. h: Leaf morphotype 6 Oriolo MSF 952. i: Leaf morphotype 7 Oriolo MSF 862. j, l: Leaf morphotype 8. j: Oriolo MSF 912. k: Oriolo MSF 662. l: Oriolo MSF 662-1. m: Leaf morphotype 9 Oriolo MSF 715. n: Leaf morphotype 10 Oriolo MSF 716. o: Leaf morphotype 11, overview and detail of margin Oriolo MSF 880. p–z: Various rosaceous leaves/ leaflets. p: Oriolo MSF 943. q: Oriolo MSF 890. r: Oriolo MSF 950. s: Oriolo MSF 958. t: Oriolo MSF 966 aff. Sorbus. u: Oriolo MSF 956. v: Oriolo MSF 961. w: Oriolo MSF 962. x: Oriolo MSF 874. y: Oriolo MSF 883. z: Oriolo MSF 960. in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. A3. a: Leaf morphotype 1 Tebano MSF SG 049. b: Leaf morphotype 2 Oriolo MSF 631. c: Leaf morphotype 3 Oriolo MSF n.n. d, f: Leaf morphotype 4. d: Oriolo MSF 891. e: Oriolo MSF 856. f: Oriolo MSF 858. g: Leaf morphotype 5 Oriolo MSF 783. h: Leaf morphotype 6 Oriolo MSF 952. i: Leaf morphotype 7 Oriolo MSF 862. j, l: Leaf morphotype 8. j: Oriolo MSF 912. k: Oriolo MSF 662. l: Oriolo MSF 662-1. m: Leaf morphotype 9 Oriolo MSF 715. n: Leaf morphotype 10 Oriolo MSF 716. o: Leaf morphotype 11, overview and detail of margin Oriolo MSF 880. p–z: Various rosaceous leaves/ leaflets. p: Oriolo MSF 943. q: Oriolo MSF 890. r: Oriolo MSF 950. s: Oriolo MSF 958. t: Oriolo MSF 966 aff. Sorbus. u: Oriolo MSF 956. v: Oriolo MSF 961. w: Oriolo MSF 962. x: Oriolo MSF 874. y: Oriolo MSF 883. z: Oriolo MSF 960.
Biom files of bacterial rhizosphere communities from two pioneer species, Brachystegia boehmii and B. spiciformis
<p>In this repository, you will find a mapping file of all samples and a biom table with all operational taxonomy units allowing the analyses of the bacterial rhizosphere communities.</p>
FLAME: a novel approach for modelling burned area in the Brazilian biomes using the Maximum Entropy concept - Input Data
<p>This repository contains driving data used by training and evaluation of FLAME in the "FLAME: a novel approach for modelling burned area in the Brazilian biomes using the Maximum Entropy concept" paper. All NetCDF files are on regular, 0.5-degree grids on a monthly timestep over Brazil. </p> <div>Not all variables were used in the final analysis<br> <table> <tbody> <tr> <td><strong> NetCDF File</strong></td> <td> <p><strong> Variable</strong></p> </td> <td> <p><strong>Used/not Used</strong></p> </td> <td> <p><strong>Source/Reference</strong></p> </td> </tr> <tr> <td> <p>burned_area.nc</p> </td> <td> <p>Burned area</p> </td> <td> <p>As training data</p> </td> <td>MCD64A1/ Giglio et al. (2018)</td> </tr> <tr> <td> <p>burned_area_nat_veg.nc</p> </td> <td> <p>Burned area in natural vegetation</p> </td> <td> <p>As training data</p> </td> <td>MCD64A1/ Giglio et al. (2018) and Mapbiomas, 2022</td> </tr> <tr> <td> <p>burned_area_non_nat_veg.nc</p> </td> <td> <p>Burned area in non natural vegetation</p> </td> <td> <p>As training data</p> </td> <td>MCD64A1/ Giglio et al. (2018) and Mapbiomas, 2022</td> </tr> <tr> <td> <p> tas_max.nc</p> </td> <td> <p> Maximum Temperature</p> </td> <td> <p>Used</p> </td> <td><br><br> <p>ISIMIP3a</p> <p>FRIELER et al. (2023)</p> </td> </tr> <tr> <td> <p>precip.nc</p> </td> <td> <p>Precipitation</p> </td> <td> <p>Used</p> </td> </tr> <tr> <td> <p>vpd.nc</p> </td> <td> <p>Vapor pressure deficit</p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td> <p>rhumid.nc</p> </td> <td> <p> Relative Humidity </p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td><br>consec_dry_days.nc</td> <td><br> <p>Consecutive number of dry days </p> </td> <td>Not Used</td> </tr> <tr> <td> <p>soilM.nc</p> </td> <td> <p>Soil Moisture</p> </td> <td> <p>Not Used</p> </td> <td> <p>JULES-ES</p> </td> </tr> <tr> <td> <p>lightn.nc </p> </td> <td> <p> Lightning</p> </td> <td> <p>Not Used</p> </td> <td><br> <p> ISIMIP3a</p> <p>FRIELER et al. (2023)</p> </td> </tr> <tr> <td> <p>popDen.nc</p> </td> <td> <p> Population density</p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td> <p>road_density.nc</p> </td> <td> <p>Road density</p> </td> <td>Used</td> <td> <p> GRIP global</p> <p>(MEIJER et al., 2018)</p> </td> </tr> <tr> <td> <p>cveg.nc</p> </td> <td> <p>Vegetation carbon</p> </td> <td> <p>Not Used</p> </td> <td><br> <p>JULES-ES</p> </td> </tr> <tr> <td> <p>csoil.nc</p> </td> <td> <p>Carbon in dead vegetation</p> </td> <td>Used</td> <td><br> <p>JULES-ES</p> </td> </tr> <tr> <td> <p>forest.nc</p> </td> <td> <p> Forest</p> </td> <td> <p>Used</p> </td> <td><br><br><br> <p> MAPBIOMAS, 2022</p> </td> </tr> <tr> <td> <p>grassland.nc</p> </td> <td> <p> Grassland</p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td> <p>savanna.nc</p> </td> <td> <p> Savanna</p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td> <p>cropland.nc</p> </td> <td> <p> Cropland</p> </td> <td> <p>Not Used</p> </td> </tr> <tr> <td> <p>pasture.nc</p> </td> <td> <p> Pasture</p> </td> <td> <p>Used</p> </td> </tr> <tr> <td> <p>np.nc</p> </td> <td> <p>Number of patches </p> </td> <td> <p>Not Used</p> </td> <td><br><br> <p>Calculated from MAPBIOMAS,<br>2022</p> <br><br></td> </tr> <tr> <td> <p>ed.nc </p> </td> <td>Edge density</td> <td>Used</td> </tr> </tbody> </table> </div> <p> </p>
Dataset: Orchestra BioMed Holdings, Inc. (OBIO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Mainz Biomed N.V. (MYNZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 1 in Edessa rufomarginata (Hemiptera: Pentatomidae) feeding on Solanum lycocarpum (Solanaceae) in rupestrian fields of the Brazilian Cerrado biome
Figure 1. Edessa rufomarginata (Hemiptera: Pentatomidae) adults on leaf (A), immature on leaf (B), adults on stems (C), and in fruit (D) of Solanum lycocarpum (Solanaceae) plants in Diamantina, Minas Gerais State, Brazil.
Figure 1 in Anadenanthera colubrina (Fabaceae) logs in the Atlantic Forest biome: first host plant for Thoracibidion lineatocolle (Col.: Cerambycidae) and a new host for Temnopis megacephala (Col.: Cerambycidae)
Figure 1. Temnopis megacephala (A) and Thoracibidion lineatocolle (B) (Coleoptera:Cerambycidae) adults emerged from Anadenanthera colubrina (Fabaceae) logs harvested in the Atlantic Forest biome.
Fig. 1 in Conotelus sp. (Coleoptera: Nitidulidae), a new insect pest of passion fruit in the Amazon Biome
Fig. 1. Adults (a, b) of Conotelus sp. (Coleoptera: Nitidulidae) and damage (c, d) caused by this species in passion fruit flowers (Passiflora edulis f. flavicarpa).
Fig. 2 in Conotelus sp. (Coleoptera: Nitidulidae), a new insect pest of passion fruit in the Amazon Biome
Fig. 2. Population fluctuations of Conotelus sp. (Coleoptera: Nitidulidae) adults in passion fruit (Passiflora edulis f. flavicarpa) plantations. Right Y-axis denotes temperature and relative humidity.
FIG. 3 in New genus and species of Seirini (Collembola, Entomobryidae) from Caatinga Biome, Northeastern Brazil
FIG. 3. — Males of Tyrannoseira raptora (Zeppelini & Bellini, 2006) n. comb. fighting: A, males grabbing each other to strike with legs, antennae and furca; B, male grabbing an antenna of another male. Scale bars: A, B, 100 μm.
FIG. 4. — Tyrannoseira sex n in New genus and species of Seirini (Collembola, Entomobryidae) from Caatinga Biome, Northeastern Brazil
FIG. 4. — Tyrannoseira sex n. sp.: A, habitus; B, apical bulb of the 4th antennal segment; C, right eye patch; D, labial papillae; E, setae of the labial triangle; F, anterior femur of males; G, anterior tibiotarsus of the males; H, trochanteral organ; I, second foot complex; J, distal dens with mucro. Scale bars: A, 100 μm; B-J, 10 μm.
FIG. 2 in New genus and species of Seirini (Collembola, Entomobryidae) from Caatinga Biome, Northeastern Brazil
FIG. 2. — Femur and tibiotarsus of the first pair of legs of males of: A, Tyrannoseira raptora (Zeppelini & Bellini, 2006) n. comb.; B, T. bicolorcornuta (Bellini, Pais & Zeppelini, 2009) n. comb. Scale bars: A, B, 10 μm.
FIG. 1 in New genus and species of Seirini (Collembola, Entomobryidae) from Caatinga Biome, Northeastern Brazil
FIG. 1. — Dorsal macrochaetae distribution of: A, Tyrannoseira raptora (Zeppelini & Bellini, 2006) n. comb.; B, T. bicolorcornuta (Bellini, Pais & Zeppelini, 2009) n. comb.
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B, and C were the ones that most affected the potential distribution of S. giannae, and D, E, and F most affected the potential distribution of S. lilium. The curves show the average response of the 10 replicate Maxent runs (red) and the standard deviation (blue).
Figure 2 in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 2. Detail of the teeth in S. lilium (A and D – MN 82228) and S. giannae (B and E – MN 84766, C and F – MN 82217). The shape of the upper internal incisor unicuspid in S. lilium (A) and unicuspid or bicuspid in S. giannae (respectively B, C). Metaconid of first inferior molar (m1) wide mesodistally and short cervico-occlusal (D, E, and F). Metaconid of second inferior molar (m2) large mesodistally in S. lilium (D) and in S. giannae (F), or short mesodistally and long cervico-occlusally (E) in S. giannae. Scale bars: 1 mm.
Figure 4 in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 4. Map showing the distribution and location of analyzed samples of S. giannae in gray circles and blue boundaries, and of S. lilium in black circles and green boundaries. The blue star is the type locality of S. giannae, and the green star is the type locality of S. lilium. The dotted black line marks the extent of S. giannae 's territory in Brazil: Mato Grosso State (1) Barão de Melgaço, and Maranhão State (2) Alto Parnaíba. Other localities are in the Appendix 1.
Figures 4-7 in A new species of Falsocis (Coleoptera: Ciidae) from the Atlantic Forest biome with new geographic records and an updated identification key for the species of the genus
Figures 4-7. Dissected male terminalia of a paratype of Falsocis sooretama sp. nov.: (4) sternite VIII; (5) basal piece; (6) tegmen; (7) penis. Scale bar: 0.1 mm.
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.