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10,016 results for “Observation”
Dataset of punctual observations along soil moisture gradients in France
<p><span>The interface between wetlands and uplands is characterized by grad</span><span>ients</span><span> in hydrological, soil and biological components. </span><span>Consequently</span><span>, the exact spatial distribution of this transitional area </span><span>is not well </span><span>known because it often occurs as a fuzzy moisture gradient. However, ecological assessment and conservation require mapping and characterizing this interface to better understand and model biotic and abiotic interactions between wetlands and uplands. To this end, </span><span>in 2021 and 2022, </span><span>we observed soil properties and vegetation types along </span><span>soil </span><span>moisture gradients throughout the Atlantic, Continental, Mediterranean and Alpine biogeographic regions of France. The dataset contains </span><span>2 236</span> <span>georeferenced plots (accuracy ± 5 m) distributed along 1 088 transects placed along the slope at 377 sites</span><span>.</span><span> Each plot in the database is characterized by </span><span>21</span><span> fields that describe the vegetation habitat type based on the European Nature Information System (EUNIS) and soil properties (</span><span>i.e. </span><span>depth of appearance and thickness of </span><span>redoximorphic features </span><span>in the soil profile, moisture). These data are useful for researchers and engineers in a variety of disciplines </span><span>(e.g. E</span><span>arth and life sciences) to calibrate and validate </span><span>models to predict </span><span>the spatial distribution of habitats or</span><span> to analyze</span><span> flow</span><span>s</span><span>.</span></p>
From Networked to Isolated: Observing Water Hydrogen Bonds in Concentrated Electrolytes with Two Dimensional Infrared Spectroscopy
<p>The files contain the data that are shown in the figures of the Main Text and of the Supplementary Materials of the research article:</p> <p>From Networked to Isolated: Observing Water Hydrogen Bonds in Concentrated Electrolytes with Two Dimensional Infrared Spectroscopy</p> <p>Nicholas H. C. Lewis, Bogdan Dereka, Yong Zhang, Edward J. Maginn, and Andrei Tokmakoff</p> <p>J. Phys. Chem. B, (2022)</p>
FIGS. 28–30 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 28–30. Photographs of T. duplicata on the tidal flat at low tide with apices oriented down subvertically. FIG. 28: Three specimens lined up with equivalent orientations; FIGS. 29, 30: Close-ups of specimens with apertures sticking up to 3 cm out of the sediment. Pictures taken on Praphat tidal flat 70 km Sof Ranong, Thailand, courtesy of John Taylor.
FIGS. 19–26 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 19–26. Time laps image series of T. duplicata burying itself. T-values correspond to time elapsed after beginning of the burrowing. Specimen is 13.5 cm long and 3.5 cm in diameter at the aperture.
FIG. 1 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIG. 1. Map of the study area depicting the Nopparat Thara tidal flat and its position on the Andaman Sea coast. (1) Beach, (2) Near shore or ocypode zone, (3) Intermediate zone, (4) Turritellid zone, (5) Firmground zone; a–c refer to the positions of the transects described in Fig. 3; D1–D4 refer to the positions of the excavations on the tidal flat (Modified from Waite & Strasser, 2011, p. 226, fig. 1, © Springer-Verlag 2010; with kind permission from Springer Science & Business Media B. V.).
FIGS. 13–18 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 13–18. Six heavily damaged live specimens collected from the beach rubble in one afternoon during heavy surf. FIG. 14: Depicts a specimen that also shows two repaired scars: a = scar parallel to the apertural lip, b = jagged "can-opener" scar perpendicular to the growth lines.
FIG. 12 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIG. 12. Turritellid size distributionon the Nopparat Thara tidal flat (n = 90). Smaller individuals generally inhabit a zone near to the shore whereas larger individuals prefer a habitat closer to the low tide line.
FIG. 7 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIG. 7. Known distribution of T. duplicata (hatched area) modified form Poutiers (1998) (Caramagna, 1875; Sundaram et al., 1969; Purchon & Purchon, 1981; Rajagopal et al., 1990; Saravanakumar et al., 2007).
FIG. 34 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIG. 34. Growth rate plot. Spire length in centimeters versusage as inferred from the seasonality in the oxygen isotope profile.
FIGS. 8–10 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 8–10. Schematictransects from thebeach to thelow tide line. FIG. 8: Eastern part characterized by an almost monospecific fauna and rocky substrate; FIG. 9: Central part characterized by sea grass and by an intensely bioturbated firm-ground zone; FIG. 10: Western part of the flat characterized by diverse fauna and islands with small coral reefs (Modified from Waite & Strasser, 2011, p. 227, fig. 2, © Springer-Verlag 2010; with kind permission from Springer Science & Business Media B. V.).
FIGS. 31–33 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 31–33. Results of the stable isotope analysis. FIG. 31: δ13C and δ18O stable isotope profiles through specimen Td1; FIG. 32: δ13C and δ18Ostable isotope profiles through specimen Td2; FIG. 33: δ13C and δ18O stable isotope profiles through specimen Td3. Black arrows mark the 50 mm growth stage. Grey arrows mark the 90 mm growth stage. Respective specimens are figured on the right, scale bars are 5 cm.
FIGS. 2–6 in Observations on the Biology and Sclerochronology of "Turritella" Duplicata (Linnaeus, 1758) (Cerithioidea, Turritellidae) from Southern Thailand
FIGS. 2–6. Anatomical features of T. duplicata. FIG. 2. Underwater photograph of T. duplicata burying itself. Visible elements of soft part anatomy include: a = outer rim of papillae, b = tentacle with eye, c = snout, d = food groove; FIGS. 3, 4: Sketches of shells of T. duplicata copied from Kiener (1873); FIG. 5: Sketch of the corresponding operculum to the specimen figured in Fig. 4; FIG. 6: Sketch of hard- and soft part anatomy of T. duplicata: a = outer rim of papillae, b = tentacle with eye, c = snout, d = food groove.
Ground-based vertical observations of NO2 and HCHO in Guangzhou
<p>The NO2 and HCHO vertical profiles supporting the paper entitled Diagnosis of ozone formation sensitivities in different height layers via MAX-DOAS observations in Guangzhou.</p>
Observational foraging behaviour of avian pollinators in restored and remnant Banksia woodlands
<p>Pollinators, and the pollination services they provide, are critical for seed set and self-sustainability of most flowering plants. Despite this, pollinators are rarely assessed in restored plant communities, where their services are largely assumed to re-establish. This data set contains the bird-pollinator richness, foraging and bird interaction behaviour between natural and restored Banksia woodland sites in Western Australia. These parameters were measured for natural communities of varying size and degree of fragmentation, and restored plant communities of high and low complexity for three years, in the summer and winter flowering of <i>Banksia attenuata</i> and <i>B. menziesii</i>, respectively. Data collected was used to assess the re-establishment of avian pollinators in restored sites.</p>
Electrical ocean conductivity variability from observations and its budget from an ocean state estimate
<p>These are the data used to generate the figures in Trossman and Tyler (submitted to GRL, 2022).</p>
Data derived state probabilities for Z. noltei monitoring study. Observed variables were shoot density at four sites in this study
<p>1. In general, it is not feasible to collect enough empirical data to capture the entire range of processes that define a complex system, either intrinsically or when viewing the system from a different geographical or temporal perspective. In this context, an alternative approach is to consider model transferability, which is the act of translating a model built for one environment to another less well-known situation. Model transferability and adaptability may be extremely beneficial - approaches that aid in the reuse and adaption of models, particularly for sites with limited data, would benefit from widespread model uptake. Besides the reduced effort required to develop a model, data collection can be simplified when transferring a model to a different application context.</p> <p>2. The research presented in this paper focused on a case study to identify and implement guidelines for model adaptation. Our study adapted a general Dynamic Bayesian Networks (DBN) of a seagrass ecosystem to a new location where nodes were similar, but the conditional probability tables varied. We focused on two species of seagrass (Zostera noltei and Zostera marina) located in Arcachon Bay, France. Expert knowledge was used to complement peer-reviewed literature to identify which components needed adjustment including parameterisation and quantification of the model, and desired outcomes. We adopted both linguistic labels and scenario-based elicitation to elicit from experts the conditional probabilities used to quantify the DBN.</p> <p>3. Following the proposed guidelines, the model structure of the general DBN was retained, but the conditional probability tables were adapted for nodes that characterised the growth dynamics in Zostera spp. population located in Arcachon Bay, as well as the seasonal variation on their reproduction. Particular attention was paid to the light variable as it is a crucial driver of growth and physiology for seagrasses.</p> <p>4. Our guidelines provide a way to adapt a general DBN to specific ecosystems to maximise model reuse and minimise re-development effort. Especially important from a transferability perspective are guidelines for ecosystems with limited data, and how simulation and prior predictive approaches can be used in these contexts.</p>
Distribution. NE Mali, EC & SE Sudan, SE South Sudan, and NE Ethiopia. There is also a record from ancient Egypt in Thebes where a mummified individual has recently been identified, although status of the species there is uncertain considering no individuals have been observed there in recent times. in Soricidae
Distribution. NE Mali, EC & SE Sudan, SE South Sudan, and NE Ethiopia. There is also a record from ancient Egypt in Thebes where a mummified individual has recently been identified, although status of the species there is uncertain considering no individuals have been observed there in recent times.
On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model: Article Data
<p>NetCDF datatset of presented results from the publication titled "On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model" in the Journal of Geophysical Research - Atmospheres, Paper #2021JD036214R.</p>
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996). in Muridae
Lophuromys medicaudatus, L. woosnami, and L. luteogaster are in subgenus Kivumys and woosnami species group. Monotypic. Distribution. Endemic to the Albertine Rift, occurring around Lake Kivu in E DR Congo and Rwanda and SW Uganda (Bwindi). Descriptive notes. Head—body 92-112 mm, tail 73-95 mm, ear 15-19 mm, hindfoot 18-23 mm; weight 29-43 g. Similar to other species in subgenus Kivumys, the Western Rift Brush-furred Rat has unspeckled pelage, and tail ¢.85% of head-body length. Dorsum is uniform dark brown-olive, and venter is orange. Females have three pairs of mammae. Habitat. Mountain swamps and mountain forests at elevations of 1850-2500 m. Food and Feeding. The Western Rift Brush-furred Rat is omnivorous; diets contain 30-100% arthropods, mollusks, seeds, and fruits. Breeding. Female Western Rift Brush-furred Rats can have 1-2 embryos. Pregnant females were observed in February, April, and July. Activity patterns. The Western Rift Brush-furred Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. The Western Rift Brush-furred Rat has never been found in modified secondary environment and is quite rare. Bibliography. Dieterlen (1976b, 1987 2013g), Kasangaki et al. (2003), Verheyen et al. (1996).
MILAN project: raw images of deep sky objects captured with a Stellina observation station -- [2022-06]
<p>During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. </p> <p>The Stellina observation station has an apochromatic ED doublet with an aperture of 80 mm and a focal length of 400 mm - focal ratio of f/5. It is equipped with a Sony IMX 178 CMOS sensor with a resolution of 6.4 million pixels (3096 x 2080 pixels). An anti-pollution filter is placed in front of the camera sensor. The station also has a fully automated alt-azimuth mount: setup, object tracking and focusing are also automatic. Stellina also has an integrated field rotator that adapts to the target.</p> <p>Thus, the research team built a dataset that faithfully represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region:<br> - targets: representative set of deep sky objects from the Messier and NGC catalogs during the period.<br> - type of targets: nebulaes, planetary nebula, galaxies, globular clusters, open clusters<br> - for each observation session: sub-frames of 10 seconds exposure time and total cumulative duration of ~15/30 minutes (depending of the target) -- bad sub-frames were not filtered.</p> <p>The dataset is composed of ZIP files -- and each zip file contain raw images in FITS format (Flexible Image Transport System): data come directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).</p> <p>This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.</p> <p>To refer to or to cite this work, please use: "Parisot, O., Hitzelberger, P., Bruneau, P., Krebs, G., Destruel, C., & Vandame, B. (2023). MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope. Data in Brief, 48, 109133."</p> <p> </p> <p>MILAN project team members: Olivier Parisot (LIST), Patrik Hitzelberger (LIST), Pierrick Bruneau (LIST), Gilles Krebs (VAONIS, Christophe Destruel (VAONIS).</p> <p>More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.</p> <p>More information about VAONIS instruments: https://vaonis.com/</p> <p>More information about Luxembourg of Science and Technology (LIST): https://www.list.lu/</p> <p>Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International</p> <p> </p>
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Allen Brain Atlas
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OpenNeuro
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