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10,016 results for “Observation”
FIGURE 3 in In situ observations lead to the discovery of the large ctenophore Kiyohimea usagi (Lobata: Eurhamphaeidae) in the eastern tropical Atlantic
FIGURE 3. Schematic illustration of the gastrovascular system of Kiyohimea usagi showing in black the auricle (AC), circumlobal canal (CLC), substomodaeal canal (SSMC), and in dark grey the subtentacular meridional canal (STMC), in light grey the translobal meridional canal (TLMC), and in white the oral canal (OC).
FIGURE 4 in In situ observations lead to the discovery of the large ctenophore Kiyohimea usagi (Lobata: Eurhamphaeidae) in the eastern tropical Atlantic
FIGURE 4. Fly-by observations of Kiyohimea usagi made by the pelagic in situ observation system PELAGIOS.
Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa
<p>Replication code and data for the paper "Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa" published in One Earth (DOI: 10.1016/j.oneear.2020.03.007)</p> <p>________________________________</p> <p>This repository hosts:</p> <ul> <li> <p>A JavaScript file to process remotely-sensed data into Google Earth Engine (step 1)</p> </li> <li> <p>A R script, to be run after the successful completion of the Google Earth Engine processing (step 2)</p> </li> <li> <p>Supporting files to run the analysis (e.g. a shapefile of provinces, validation data, etc.)</p> </li> <li> <p>Create a Google account, if you do not have one, and require access to Earth Engine <a href="https://signup.earthengine.google.com/">https://signup.earthengine.google.com</a>.</p> </li> <li> <p>Make sure your Google Drive has enough cloud storage space available.</p> </li> <li> <p>Clone the repository.</p> </li> <li> <p>Run the JavaScript file in Google Earth Engine and wait that the data processing is complete <strong>(can take >24 hours)</strong></p> </li> <li> <p>Run the R script, which will reproduce the analysis and the figures contained in the paper.</p> </li> <li> <p>Open the QGIS project files to replicate maps with the appropriate layout.</p> </li> </ul> <p>Source code-related issues should be opened directly on GitHub. Broader questions of the methods should be addressed to <a href="mailto:giacomo.falchetta@feem.it">giacomo.falchetta@feem.it</a></p>
EOMORES earth observation and in situ data of water quality in lakes and coastal areas - year 2 and 3
<p>EOMORES is a European innovation project aiming to develop commercial services for monitoring the quality of inland and coastal water bodies, using data from Earth Observation (EO) satellites and in situ sensors to measure, model and forecast water quality parameters.</p> <p>The current data set is a sample of the data generated within the second and third project years (2018, 2019), and consists of Earth Observation (EO) data and in situ data from lakes and coastal areas. For full data sets, please contact the respective contact point listed for each area. Data sets of the first (2017) year of EOMORES have also be submitted.</p> <p>The following is included:<br> - Estonia lakes and coast: in situ data 2019<br> - Finland: links to repositories of EO data<br> - Italy CNR: sample of EO data 2018 and 2019<br> - Italy Trasimeno: sample of WISPstation in situ spectral data and water quality parameters data<br> - Lithuania Curonian Lagoon: sample of WISPstation in situ spectral data and satellite based water quality maps<br> - Netherlands Lake Markermeer: sample of EO data 2018 and 2019 (Chl, Secchi, SPM)<br> - Netherlands Lake Paterswoldsemeer: EO data 2015, 2016, 2017<br> - UK Scotland: links to relevant repositories of in situ data</p> <p>http://eomores-h2020.eu</p>
FIGURE 4 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 4. Photomicrographs of Deltamysis holmquistae appendages. Length of scale bar is given in parentheses for each photo. A) Maxilla (0.05 mm); B) thoracic endopod 1 (0.05); C, D, & E) male thoracic endopod 2 (0.05, 0.01, & 0.02); F & G) mandibular palps (0.05 & 0.03). Abbreviations: car, carpus; dac, dactylus; endi, endite; endo, endopod; exo, exopod; mer, merus; pro, propodus; dam, damaged seta; art, article.
FIGURE 3. Deltamysis holmquistae male, B & D in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 3. Deltamysis holmquistae male, B & D (2.9 mm); Jacksonville, Florida, females, A & E (3.0 mm), C (2.3 mm); Jacksonville, Florida; F (3.2 mm); Port St. John, Florida. A. Thoracic endopod 5. B. Thoracic endopod 6. C. Thoracic endopod 7. Telsons, posterior ends D–F. Scale: A–F, 0.1 mm.
FIGURE 5 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 5. Photomicrographs of Deltamysis holmquistae appendages. Length of scale bar is given in parentheses for each photo. A) right mandible (0.07 mm); B) left mandible (0.05); C) right mandible (0.05); D) left mandible (0.04); E) right mandible (0.05); and F) left mandible (0.05). Abbreviations: in, incisor; lm, lacinia mobilis; mo, molar; spr, spine row.
FIGURE 2. Deltamysis holmquistae female, 3.5 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 2. Deltamysis holmquistae female, 3.5 mm (A, E, G); female, damaged (B & C), male, 2.9mm (D, F); Jacksonville, Florida. A. Dorsal view. B. Mandibles, gnathobasic processes, posterior (caudal) view. C. Maxilla, coxal endite omitted. D. Thoracopod 2, male with enlargement of papillation. E. Thoracic endopod 2, distal end, female. F. Thoracic endopod 3 with enlargement of distal end. G. Thoracic endopod 4. Scale: A, 0.5 mm; B, 0.15; C-G, 0.1.
FIGURE 17. Sthenaster emmae. A. Central Plateau scarp, 870 m. B. Central Plateau Scarp, 874 m C. Central Plateau Scarp, 865 m D in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 17. Sthenaster emmae. A. Central Plateau scarp, 870 m. B. Central Plateau Scarp, 874 m C. Central Plateau Scarp, 865 m D. Richardson's Jellyfish, 865 m
FIGURE 15. Sibognaster bathyheuretor n in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 15. Sibognaster bathyheuretor n. sp. Holotype. USNM 1507293 A. Abactinal surface. Scale bar=5.0 mm. B. Close up abactinal surface. Scale bar=8.0 mm. C. Oral surface. Scale bar=5.0 mm. D. Furrow spination. Scale bar=1.0 mm. E. Lateral view showing marginal plate surface. Scale bar=2.0 mm.
FIGURE 20. Velatida. A. Remaster palmatus. Stetson Mesa Terrace, 445.4 m. B in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 20. Velatida. A. Remaster palmatus. Stetson Mesa Terrace, 445.4 m. B. Large specimen (30.0 cm total diameter) of Pythonaster atlantidis, NW Florida Escarpment, 1970 m. C and D. Pythonaster atlantidis sponge predation. DeSoto Canyon, 2604 m, showing dorsal and oral views (C&D respectively). E. Feeding on hexactinellid sponge. Jaguey Spur, off Puerto Rico, 2668 m. Feeding.
FIGURE 16. Sibogaster bathyheuretor n in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 16. Sibogaster bathyheuretor n. sp. In situ. A. Holotype. USNM 1507293 West Florida Escarpment, Gulf of Mexico, 2597 m. B. Entrenched in sediment, Perdido Canyon, Gulf of Mexico, 26.1466, 94.86662, 2777 m, C. Feeding on antipatharian. West Florida Escarpment, Gulf of Mexico, 2192.9m. D. Feeding on sponges/sargassum West Florida Escarpment, Gulf of Mexico, 2138 m.
FIGURE 6. Unidentified species and Ceramaster grenadensis. A. Unidentified genus and species 1 in New species, occurrence records and observations of predation by deep-sea Asteroidea (Echinodermata) from the North Atlantic by NOAA ship Okeanos Explorer
FIGURE 6. Unidentified species and Ceramaster grenadensis. A. Unidentified genus and species 1, NW Florida Escarpment, Gulf of Mexico, 2178 m. B. C. grenadensis in situ feeding. Unidentified stalks emerging from below (indicated with arrows). Richardson Scarp, North Atlantic. 897 m C. C. grenadensis feeding on coral rubble. Richardson Scarp, North Atlantic. 954 m D. C. grenadensis with yellow scale worm associate (indicated by arrow). Okeanos Ridge, 734 m.
2007-2016 Surface Circulation over the Mid Atlantic Bight Continental Shelf derived from a Decade of High Frequency Radar Observations
<p>A decade (2007-2016) of hourly 6 km resolution maps of the surface currents across the Mid Atlantic Bight (MAB) generated by a regional-scale High Frequency Radar network are used to reveal new insights into the spatial patterns of the long term annual and seasonal mean surface flows. Across the 10 year time series, temporal means, inter- and intra-annual variability are used to quantify the variability of spatial surface current patterns from season to season and year to year. The 10-year annual mean surface flows are weaker and mostly cross shelf near the coast, increasing in speed and rotating to more alongshore directions near the shelf break, and increasing in speed and rotating to flow off-shelf in the southern MAB. The annual mean surface current pattern is relatively stable year to year compared to the hourly variations within a year. The ten-year seasonal means exhibit similar current patterns, with winter and summer more cross-shore while spring and fall transitions are more alongshore. Fall and winter mean current speeds are larger and correspond to a time when the mean winds are stronger and cross-shore. Summer mean currents are weakest and correspond to a time when the mean wind opposes the alongshore flow. Again, intra-annual variability is much greater than interannual, with the fall season exhibiting the most interannual variability in the surface current patterns. The extreme fall seasons of 2009 and 2011 are related to extremes in the wind and river discharge events caused by different persistent synoptic meteorological conditions, resulting in more or less rapid fall transitions from stratified summer to well-mixed winter conditions.</p>
Data set - Lagrangian observations and modelling of turbulence along a tidally influenced river
<p>The 'Kaipara_model.mat' files contains the grid and bathymetry of a model of the Kaipara River, New Zealand, created notably in order to study turbulence in a Lagrangian frame of reference. </p> <p>The 'Dataset_Kaipara_Lagrangian.mat' file contains Lagrangian observations collected in the Kaipara river and corresponding model predictions. </p>
Radar observations of an active subglacial lake system in the David Glacier catchment, Antarctica
<p>Unfocused radar observations of David Glacier, Antarctica. Collected in December 2016 to Februrary 2017 by Korea Polar Research Institute and University of Texas -- Institute for Geophysics.</p> <p>Full documentation can be found within the netCDF files.</p>
Catch me if you can. Can human observers identify insiders in asset markets?
<p>Supplementary material</p> <p>This documentation provides information on the files and folders contained in the supplementary material. Note that all .do and .R files in the supplementary material are meant to be run directly from the folder containing them.</p> <p>1.contracts\</p> <p>1.1.contracts\RegulationContractsModPas.do</p> <p>Contains calculations for the results reported in section 3.2 and for Table 5 of the paper.</p> <p>2.globals\</p> <p>Contains data potentially used in analysis.</p> <p>3.infodata\</p> <p>Contains data potentially used in analysis.</p> <p>4.predictions\</p> <p>4.1.Predictions\Regulation_predictions.do</p> <p>Contains calculations for Tables 2-4 of the paper.</p> <p>4.2.Predictions\Regulation_predictions_DetectionProb.do</p> <p>Contains calculations for the results reported in section 3.1 of the paper.</p> <p>5.subjects\</p> <p>Contains data potentially used in analysis.</p> <p>6.timelog\</p> <p>6.1.timelog\Regulation_timelog.do</p> <p>Contains calculations for Figure 4 and Figure A1 of the paper.</p> <p>7.z-Tree\</p> <p>This folder contains the experimental software.</p> <p>7.1.z-Tree\*.zdata</p> <p>Parameter files for group assignment, market assignment, subject identifiers etc. used in the experimental software.</p> <p>7.2.z-Tree\z-Tree_Documentation.pdf</p> <p>Documentation of all variables used in the z-Tree experimental software.</p> <p>8.DetectionProbability.xlsx</p> <p>Contains data for Table 2 in the paper. Based on 4.1 Predictions\Regulation_predictions.do, section stata02.</p> <p>9.groups.zdata</p> <p>Overview of group IDs. Used In some analyses.</p> <p>10.Insider_regulation_data.do</p> <p>Stata .do file which processes the raw z-Tree output data (see section 12 of this document) in preparation for all analyses.</p> <p>11.PowerAnalysis.R</p> <p>Contains all post-hoc power analyses reported in sections 3.1 and 3.2 of the paper.</p> <p>12.PUN*_C*.xls</p> <p>Original z-Tree output files containing all experimental results. These are processed into Stata format in Insider_regulation_data.do.</p> <p>13.ResultsWithReferences.pdf</p> <p>The file “ResultsWithReferences.pdf” contains the results section of the paper, including (in blue) references to the analysis scripts described in the present document.</p>
3D structure of the HII region Sh2-235 from tunable-filter optical observations
<p>We present observations of the H-alpha, H-beta, [SII] 6716, 6731, [NII] 6583 emission lines in the galactic HII region Sh2-235 with the Mapper of Narrow Galaxy Lines (MaNGaL), a tunable filter at the 1-m telescope of the Special Astrophysical Observatory of the Russian Academy of Sciences.</p>
Likely weakening of the Florida Current during the past century revealed by sea-level observations
<p>This file accompanies the paper 'Likely weakening of the Florida Current during the past century revealed by sea-level observations' by Christopher G. Piecuch published in Nature Communications. It contains the probabilistic reanalysis of annual Florida Current transport during 1909-2018 (e.g., Figure 2 in the paper). Please cite the accompanying paper if you use the data and/or find the data useful.</p>
Data for "Source identification of atmospheric organic vapors in two European pine forests: Results from Vocus PTR-TOF observations"
<p>This file consists of the time series of the measured trace gases, meteorological parameters, and the concentrations of isoprene and monoterpenes in the Landes forest and at the SMEAR Ⅱ station, which have been analyzed in the manuscript "Source identification of atmospheric organic vapors in two European pine forests: Results from Vocus PTR-TOF observations". For more details, please contact the author (haiyan.li@helsinki.fi).</p>
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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.