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10,016 results for “Observation”
F I G U R E 1 in Pelagic observations of the midwater scorpionfish Ectreposebastes imus (Setarchidae) suggests a role in trophic coupling between deep-sea habitats
F I G U R E 1 Ectreposebastes imus (a) observed by submersible JAGO in midwater at 350 m off the island of Santo Ant~ ao, Cabo Verde. Side view of the fish in vertical position with head up, as it was observed when encountered by submersible, (b) observed by PELAGIOS in the horizontal position and (c) observed by PELAGIOS in the vertical position
Plate 1. Crocidura nicobarica Microscopic structure a in Observation on the re-occurrence of Nicobar spiny shrew (Crocidura nicobarica Miller, 1902): A critically endangered mammal of Great Nicobar Island, India
Plate 1. Crocidura nicobarica Microscopic structure a) Fore limb, b) Hind limb, c) Tip of tail, d) Dorsal fur, e) Long black hairs in snout, f) Long white hairs in tail and g) White tooth.
FIG. 3 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 3. — Pélican blanc (Pelecanus onocrotalus Linnaeus, 1758). De arte venandi cum avibus, ms. Vatican, Vat. lat. 1071, f. 20.
FIG. 7 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 7. — Vautours fauves (Gyps fulvus (Hablizl, 1783)) en quête de charognes. De arte venandi cum avibus, ms. Vatican, Vat. lat. 1071, f. 11.
FIG. 6 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 6. — Grues cendrées (Grus grus (Linnaeus, 1758)) en migration. Crédit photo: B. Van den Abeele.
FIG. 8 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 8. — Sternum de grue avec passage de la trachée du poumon.Halle, Saale, Institut für Anatomie und Zellbiologie. Crédit photo: Jürgen Paasch.
FIG. 5 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 5. — Grue cendrée (Grus grus (Linnaeus,1758)) et grue demoiselle (Grus virgo (Linnaeus, 1758)). De arte venandi cum avibus, ms. Vatican, Vat. lat. 1071, f. 30.
FIG. 4 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 4. — Pélican des bestiaires. Hugues de Fouilloy, Aviarium, ms. London, British Library, Sloane 278, f. 16.
FIG. 1 in Expertum est a nobis pluries: observation des oiseaux d'eau et expérimentation dans le De arte venandi cum avibus de Frédéric II de Hohenstaufen (1194-1250)
FIG. 1. — Manfred de Sicile tenant un autour (Accipiter gentilis (Linnaeus, 1758)). De arte venandi cum avibus, ms. Vatican, Vat. lat. 1071, f. 5v.
Breeding male Ortolan Bunting observations from Finland 2000-2018
<p>Ortolan Bunting male territory observations from Finland from 2000-2018 and R-code used to analyse the association between population growth rate and various environmental and spatial variables. Data includes individual identification number for 238 singing groups (id), the year of the observation (year), number of observed territories within a singing group at the year of the observation (terri), number of observed territories during the previous year (terpre), proportion of agricultural land use within the singing group landscape (agri5), the mean daily precipitation (mm) (prec) and temperature (ºC) (temp) of the previous year summer, Shannon-Wiener diversity index of crop types within the singing group area (shang), proportion of crop types which provide bare ground in spring (bare), density of buildings (build), rivers (river), streams (stream) and roads (road), the municipality (municipality) and the region (region) where the singing group is located.</p>
Simulation to optimize the laboratory diagnosis of bacteremia: event times dataset from observational and retrospective studies
<h1>Introduction</h1> <p>Dataset consisting of three .csv files generated from observational and retrospective data analysis for the manuscript titled: Simulation to optimize the laboratory diagnosis of bacteremia, by Gerada et al. Dataset consists of event time-stamps for blood cultures. All identifiers have been stripped. </p> <h1>Dataset summary</h1> <ul> <li>observational_data.csv – time-stamps generated from direct observation of blood culture processing. Note that data is in wide format, so that column names contain the event name. Also, events are not related to a particular specimen, therefore, column lengths are not equal. </li> <li>retrospecitve_audit.csv – time-stamps generated from manualk retrospective audit of laboratory information system. Column `Lab` indicates the incubator. Rows are per specimen. </li> <li>retrospective_data.csv – time-stamps pulled automatically from laboratory information system (without manual curation). Rows are per specimen.</li> </ul>
Evaluation of Upper Tropospheric Geopotential Height Anomalies over the Tropical and Subtropical Oceans in CMIP6 Models Using GNSS Radio Occultation Observations
<p>The set-up of CESM2-CAM6 sensitivity experiments for winter season (Dec-Jan-Feb: DJF), with prognostic falling ice radiative effects on (SON) and off (NOS), is an updated two-moment stratiform cloud scheme (MG2, Gettelman & Morrison, 2015) in the CESM2 atmospheric component of CAM6. CESM2-CAM6 participated in CMIP6. Both the NOS and SON simulations were configured following the same approach as the CMIP6 "historical" run spanning from 1980 to 2014.</p> <p> </p> <p>The data are:</p> <p> </p> <p>TS: skin temperature (K)</p> <p>TAUX: zonal surface wind stress</p> <p>TAUY: meridinal surface wind stress</p> <p>DTCOND: moist condensation heating rate</p> <p>QRL: long wave heating rate</p> <p>OMEGA: vertical motion</p> <p>Z3: geopotential height</p> <p> </p>
Neural Network predictions and ERA5 reference of integrated water vapour, and temperature and specific humidity profiles based on simulated microwave radiometer observations
<p>This data set contains predictions of the Neural Network retrievals described in <strong>[1]</strong>, where simulated microwave radiometer observations (brightness temperatures, TBs) from the evaluation data subset of <strong>[2]</strong> (years 2001, 2006, 2011, 2015) were used as input to the Neural Network. As described in Section 3.2 of <strong>[1]</strong>, we trained an ensemble of 20 Neural Networks for each retrieved atmospheric quantity and applied them to the ERA5 evaluation data set to estimate the robustness of the retrievals with respect to random perturbations. The following atmospheric quantities were retrieved: </p> <ul> <li>temperature profile (variable name 'temp_p', filename suffix 'temp_test_417'),</li> <li>boundary layer temperature profile (variable name 'temp_p', filename suffix 'temp_test_424'),</li> <li>specific humidity profile (variable name 'q_p', filename suffix 'q_test_472'),</li> <li>integrated water vapour (variable name 'iwv_p', filename suffix 'iwv_test_126')</li> </ul> <p>The cryptic 3-digit filename suffixes represent different settings of the Neural Network retrieval. More information can be found in <strong>[3]</strong>. Variables that do not have the "_p" suffix are ERA5 data and used as reference to estimate errors of the retrievals by comparing them with the predictions. The dimension 'n_s' represents the ERA5 data sample number while the dimension 'n_rand' designates the ensemble of Neural Networks.</p> <p>These files can be created when running run_NN_retrieval (contained in NN_retrieval.py, see <strong>[3]</strong>) with exec_type='20_runs' and eval_mode=True and test_id either "126", "417", "424" or "472". However, as this might take some hours, we provide them here.</p> <p> </p> <p><strong>[1]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p> <p><strong>[2]:</strong> Walbröl, A., and Mech, M.: ERA5 based training, validation and evaluation data for retrievals combining 22-58 GHz with 175-340 GHz microwave radiometer measurements during MOSAiC (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10997365, 2024.</p> <p><strong>[3]: </strong>Walbröl, A.: Codes for: Combining low and high frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products (1.0.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.11123136" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.11123136</a>, 2024.</p>
Figures 113–118 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 113–118: SEM images of the marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (113, 114) Cocconeis orbicularis, external and internal faces of sternum valve. (115, 116) Fragilariopsis cylindrus, internal valve sides. (117) Entomoneis paludosa. (118) Nitzschia australis.
Figures 60–78 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 60–78: Marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (60, 61) Cocconeis antigua. (62) Diploneis smithii. (63) Diploneis weissflogii. (64) Diploneis sp. (65) Caloneis sp. (66, 67) Navicula cancellate. (68) Navicula directa. (69, 70) Navicula perminuta. (71) Navicula sp. (72, 73) Pseudogomphonema kamtchaticum. (74) Trachyneis aspera. (75, 76) Biremis ambigua. (77) Parlibellus crucicula. (78) Pinnularia quadratarea.
Figures 12–19 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 12–19: Marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (12) Coscinodiscus radiatus. (13–16) Stellarima microtrias, figures showing variable number of central rimoportulae. (17) Asteromphalus parvulus. (18) Paralia sulcata. (19) Podosira stelliger.
Figures 93–106 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 93–106: Marine benthic diatoms in Potter Cove, King George Island, Antarctica in summer 2015. (93) Nitzschia angularis. (94, 95) Nitzschia australis. (96) Nitzschia mitchelliana. (97) Nitzschia cf. gelida. (98) Nitzschia hybrida. (99) Nitzschia cf. obtusa. (100) Nitzschia sigma. (101) Nitzschia sp. (102) Entomoneis gigantea. (103) Entomoneis kjellmanii. (104) Entomoneis paludosa. (105) Surirella fastuosa. (106) Surirella sp.
Figures 39–59 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 39–59: Marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (39) Lyrella hennedyi. (40) Petroneis sp. (41) Petroneis plagiostoma. (42) Staurophora sp. (43–46) Achnanthes cf. groenlandica, (43, 44) raphe valve, (45) sternum valve, (46) two cells in girdle view. (47) Cocconeis californica. (48) Cocconeis californica var. kerguelensis. (49) Cocconeis costata var. hexagona. (50) Cocconeis dallmannii. (51) Cocconeis fasciolata. (52) Cocconeis imperatrix. (53) Cocconeis matsii. (54, 55) Cocconeis melchioroides. (56–59) Cocconeis orbicularis, (56, 59) sternum valve, (57, 58) raphe valve.
Figures 20–26 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 20–26: Marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (20, 21) Actinocyclus actinochilus. (22) Trigonium arcticum. (23) Triceratium favus. (24–26) Odontella litigiosa.
Figures 2–11 in Revisiting Potter Cove, King George Island, Antarctica, 12 years later: new observations of marine benthic diatoms
Figures 2–11: Marine benthic diatoms in Potter Cove, King George Island, Antarctica, summer 2015. (2–4) Porosira glacialis. (5) Thalassiosira eccentrica. (6) Thalassiosira gracilis. (7) Thalassiosira oliveriana. (8) Thalassiosira sp. (9, 10) Melosira sol, (10) showing chain of cells in girdle view. (11) Melosira cf. adeliae.
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Allen Brain Atlas
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OpenNeuro
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