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168 results for “rosette”
Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This data set contains measurements from various sensors mounted on the Conductivity, Temperature, Depth (CTD) rosette that was deployed in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE). 63 CTD casts were carried out during three legs in the period 21st December 2016 to 16th March 2017, including one test cast and one failed cast, for which no data is available. Data include temperature, salinity, pressure, dissolved oxygen, oxygen saturation, chlorophyll-a concentration, backscatter, and photosynthetically active radiation (PAR) and reported are also the computed variables density, depth, and sound velocity. All data has been quality controlled and post-cruise calibrated, except for the oxygen data. Data is provided at 1 dbar pressure intervals for the up- and down-casts separately and as a merged bottle file when Niskin bottles were closed. This circumpolar data set provides insights into the circumpolar hydrography and biogeochemistry of the Southern Ocean during one austral summer season.</p> <p><strong>Dataset contents</strong></p> <p>For transparency, the raw files and files produced at the intermediate stages of data processing have been provided, in addition to the final processed files.</p> <p><em>Raw data files: </em></p> <ul> <li>ace_ctd_raw_files.zip - includes raw files direct from instrument and XMLCON configuration files</li> </ul> <p><em>Intermediate files: </em></p> <ul> <li>files output at each stage of the SeaBird processing</li> </ul> <p><em>Processed data files: </em></p> <ul> <li>ace_ctd_CTD20200406CURRSGCMR - one final set of files for the complete sensor data;</li> <li>ace_ctd_BOTTLE20200406CURRSGCMR_hy1.csv - a merged bottle file extracted from the sensor data is also provided</li> </ul> <p><em>Metadata:</em></p> <ul> <li>range of files describing the CTD deployments, sensors, water sampling; quality-checking and processing of the files.</li> </ul> <p><strong>Dataset license</strong></p> <p>This physical and biogeochemical oceanography dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p> <p><strong>Change log</strong></p> <p><strong>v1.1</strong><br> Quick summary of issues addressed in CTD DOI Update<br> - Resolved discrepancies between upcast and downcast MLD estimates<br> - ‘Bad’ datapoints in file dACE201601_002_ct1.csv which were not flagged with ‘4’ Bad measurement<br> - CTDFLUOR1, CTDFLUOR1Q, CTDFLUOR2, CTDFLUOR2Q ‘dark’ correction was not applied consistently in first processing and should have been applied to all fluorescence variables<br> - CTDFLUOR1Q, CTDFLUOR2Q quenching correction needed to be recalculated and reapplied after update to MLD and dark correction<br> - Limit the number of decimal places for fluorescence, PAR and backscattering variables according to the instrument sensitivity limits (which is 4 decimal places except for backscattering which is 6)<br> - Changed file names described in data_file_header.txt</p> <p>Additional details on ‘Issues’ and resolutions<br> Mixed layer depth estimates<br> - Large discrepancy in MLD estimates from upcast and downcasts at the same station was due to differences in the ‘reference’ depth i.e. depth other than 10 m was used when there were no datapoints at 10 m.<br> - Note: influence of time between casts was also checked and was not the driver of the discrepancies.<br> - Issue was resolved by setting the MLD for any cast where the reference depth was not 10 m to NaN.</p> <p>Bad data flagging<br> - 22 ‘bad’ datapoints for variables salinity, density, temperature and sound at the end of the downcast file dACE201601_002_ct1 were missed during the visual inspection of the first CTD processing and hence were not flagged as bad.<br> - The bad datapoints are now flagged as ‘4’ bad measurement</p> <p>Fluorescence<br> - In the first processing, dark correction was only applied to the files where quenching correction was needed, and only to the quenched corrected fluorescence variable, but should have been applied to all fluorescence variables in all files. This has been corrected<br> - In the first processing, the upcast MLD was used as the MLD estimate in quenching correction for both the upcast and downcast file. This has been changed so that the MLD from the same cast is used i.e. downcast estimate for the downcast file and upcast estimate for the upcasts file, unless the MLD estimate is NaN (because the reference depth was not 10 m), in that case the either the downcast or upcast estimate is used - whichever exists.</p> <p>Decimal places<br> - The number of decimal places for the fluorescence, PAR and backscattering variables far exceeded the sensitivity limits of the respective sensors - for the fluorescence and backscattering variables this was due to the additional calculations and corrections applied. For the PAR variable it was the output from the Seabird processing.</p> <p>Updated files list<br> The following files have been updated:<br> Folder: ace_bottle_BOTTLE20200406CURRSGCMR (all files within)<br> Folder: ace_ctd_CTD20200406CURRSGCMR (all files within)<br> ace_ctd_mld_CURRSSRGCMR20200405.csv<br> ace_ctd_visual_inspection_v2.csv<br> README.txt<br> data_file_header.txt<br> ace_physical_biogeochemical_oceanography_ctd_change_log.txt (new file)</p> <p><strong>v1.0</strong> - Initial release of physical and biogeochemical oceanography data set.</p>
Fe chemical speciation collected using trace metal rosette in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>Fe chemical speciation of filtered seawater data are presented in this dataset, resulting from samples collected from a trace metal rosette on board the Antarctic Circumnavigation Expedition (ACE). During the austral summer of 2016/2017, seawater samples were collected from the Atlantic and Indian Ocean sectors of the Southern Ocean and dissolved Fe concentration, iron-binding organic ligands concentration and the conditional stability constant of Fe’ are presented here.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_fe_chemical_speciation.csv, data file, comma-separated values</li> <li>figure1.pdf, metadata, portable document format</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This Fe chemical speciation dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Hydrolysable carbohydrate data collected from the trace metal rosette in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>Hydrolysable carbohydrate (referred to as TPZT from the analytical methodology used) is part of the labile pool of dissolved organic carbon that is excreted by most (micro)organisms or released by continental margins/sediments. It is a carbon source for heterotrophic bacteria. These carbohydrates could also potentially bind iron and act as an iron binding ligand.</p> <p>This data is used to explore the nature of iron ligands and relate to biological and chemical oceanography.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_hydrolysable_carbohydrates_tpzt_data.csv, data file, comma-separated values</li> <li>ace_hydrolysable_carbohydrates_tpzt_data_visual_summary.png, metadata, portable network graphics</li> <li>README.txt, metadata, text format</li> <li>data_file_header.txt, metadata, text format</li> <li>change_log.txt</li> </ul> <p><strong>Dataset license</strong></p> <p>This hydrolysable carbohydrate dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p> <p><strong>Change log</strong></p> <p>v1.1 - permissions changed to open access (CC BY 4.0 license) and small changes</p> <ul> <li>add license to README.txt</li> <li>format of data_file_header.txt</li> <li>add Frictionless Data schema files</li> </ul> <p>v1.0 - initial release of dataset</p>
Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2023-08
<p>PolarFront 2023-08 CTD profiles</p><p>Pressure, temperature, salinity, and other physical properties of seawater from 31 vertical profiles sampled during the PolarFront 2023-08 cruise. Only downcast values are used to avoid errors caused by turbulence on the upcast. Basic data processing were done using Sea-Bird Scientific software SBE Data Processing (v7.26): converting to physical units, filtering for outliers, and bin-averaging over 1 m bins. The final data accuracy is ±0.5 dbar for pressure, ±0.002˚C for sea water temperature and ±0.003 for sea water salinity.</p><p>Example final data `head -n3 stnr1085.xls`:</p><blockquote><p>scan: Scan Count depSM: Depth [salt water, m] prDM: Pressure, Digiquartz [db] t090C: Temperature [ITS-90, deg C] c0S/m: Conductivity [S/m] sal00: Salinity, Practical [PSU] sigma-t00: Density [sigma-t, kg/m^3 ] svCM: Sound Velocity [Chen-Millero, m/s] flSP: Fluorescence, Seapoint sbeox0PS: Oxygen, SBE 43 [% saturation] seaTurbMtr: Turbidity, Seapoint [FTU] par/sat/log: PAR/Logarithmic, Satlantic [umol photons/m^2/sec] sbeox0ML/L: Oxygen, SBE 43 [ml/l] depSM: Depth [salt water, m], lat = 74.9995 potemp090C: Potential Temperature [ITS-90, deg C] sal00: Salinity, Practical [PSU] sigma-é00: Density [sigma-theta, kg/m^3] svCM: Sound Velocity [Chen-Millero, m/s] oxsolML/L: Oxygen Saturation, Garcia & Gordon [ml/l] flag: flag 243 3.955 4.000 8.9775 3.708699 34.9575 27.0886 1486.13 7.9014e-01 105.842 1.003 2.0359e+01 6.8367 3.958 8.9771 34.9576 27.0886 1486.13 6.45936 0.0000e+00 327 4.945 5.000 8.9787 3.708880 34.9577 27.0885 1486.15 7.4764e-01 99.487 0.991 1.4706e+01 6.4261 4.948 8.9782 34.9578 27.0886 1486.15 6.45918 0.0000e+00</p></blockquote><p> File types</p><p>Each station number has multiple data files from various steps of processing: `ls stnr1085*`: </p><p>`stnr1085_bin.cnv stnr1085_bin.wmf stnr1085.bl stnr1085.btl stnr1085.btx stnr1085.cnv stnr1085.hdr stnr1085.hex stnr1085_RAW.cnv stnr1085.xls`</p><p>Notice that the *.xls are plain ascii text files with tab-separated values. These may be converted to utf-8 using `iconv -f iso8859-1 -t utf8`</p><ul><li>*.bl = Bottle log information. Output bottle file, containing bottle firing sequence number and position, data, time, and beginning and ending scan numbers for each bottle closure. Beginning and ending scan numbers correspond to approximately 1.5-second duration for each bottle.</li><li>*.btl = Bottle files. Averaged data for each bottle.</li><li>*.cnv = Data converted to engineering units.</li><li>*hdr = Header information.</li><li>.hex = Hexadecimal data file.</li><li>*.xls = Converted data binned to 1 m as ascii text (tsv).</li><li>*.xlmcon = Instrument configuration.</li><li>*_bin.cnv = Converted data binned to 1 m as ascii data.</li><li>*_bin.wmf = Graphic of converted and 1m-binned data. *_RAW.cnv = Raw data as text file.</li></ul>
Humic acid like concentration in seawater samples, collected from the trace metal rosettes in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>Humic acid like concentration (abbreviated HA) measured with respect to the Suwannee River Fulvic acid standards (µmol SRFA equivalent per litre).</p> <p>Seawater samples were collected from trace metal rosette (TMR) deployments at different depths in the water column during the Antarctic Circumnavigation Expedition (ACE). Humic acid like data from legs 1 and 2, from TMR cast numbers 3 to 16, were analysed by electrochemistry following standard additions of Suwannee River Fulvic Acid (standard 1, IHSS). This data is to support iron ligands and iron bioavailability as well as hydrolysable saccharides (TPZT) data, also collected during ACE.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_humics_data.csv, data file, comma-separated values</li> <li>ace_humics_data_visual_summary.png, metadata, portable network graphics</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This humics dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
SCALE-WIN19 Trace Metal Clean Rosette Data
<p>The files here contain the trace metal clean CTD bottle and sensor files for the SCALE Winter Cruise.</p> <p>Oxygen sensor data is now included - except for stations PUZ, SAZ2, GT1, GTE, GT1, MIZ1 and MIZ2.</p> <p>For notes on how the data was processed please refer to the SCALE CTD Processing Report.</p> <p> </p> <table><colgroup><col><col></colgroup> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Units</strong></td> </tr> <tr> <td>Temperature</td> <td>degrees C</td> </tr> <tr> <td>Conductivity</td> <td>S/m</td> </tr> <tr> <td>Salinity</td> <td>PSU</td> </tr> <tr> <td>Oxygen in situ/Oxygen theoretical/AOU</td> <td>mL/L</td> </tr> <tr> <td>Oxygen Saturation</td> <td>%</td> </tr> <tr> <td>Density</td> <td>kg/m3</td> </tr> <tr> <td>Chlorophyll</td> <td>mg/m3</td> </tr> <tr> <td>Beam Transmission</td> <td>%</td> </tr> <tr> <td>Beam Attenuation</td> <td>m</td> </tr> </tbody> </table>
SCALE-WIN19 Standard CTD Rosette Data
<p>The files here contain the standard CTD bottle and sensor files for the SCALE Winter Cruise. </p> <p>Oxygen sensor data is now included - except for stations PUZ, SAZ2, GT1, GTE, GT1, MIZ1 and MIZ2.</p> <p>For notes on how the data was processed please refer to the SCALE CTD Processing Report.</p> <p> </p> <table style="border-collapse: collapse; width: 100%; height: 156.75px;"><colgroup><col style="width: 50%;"><col style="width: 50%;"></colgroup> <tbody> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;"><strong>Variable</strong></td> <td style="height: 19.5938px;"><strong>Units</strong></td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Temperature</td> <td style="height: 19.5938px;">degrees C</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Conductivity</td> <td style="height: 19.5938px;">S/m</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Salinity</td> <td style="height: 19.5938px;">PSU</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Oxygen in situ/Oxygen theoretical/AOU</td> <td style="height: 19.5938px;">mL/L</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Oxygen Saturation</td> <td style="height: 19.5938px;">%</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Density</td> <td style="height: 19.5938px;">kg/m3</td> </tr> <tr style="height: 19.5938px;"> <td style="height: 19.5938px;">Chlorophyll</td> <td style="height: 19.5938px;">mg/m3</td> </tr> <tr> <td>Beam Transmission</td> <td>%</td> </tr> <tr> <td>Beam Attenuation</td> <td>m</td> </tr> </tbody> </table>
SCALE-SPR19 Trace Metal Clean CTD Rosette Data
<p>The files here contain the trace metal clean CTD bottle and sensor files for the SCALE Spring Cruise. </p> <p>Oxygen sensor data is now included.</p> <p>For notes on how the data was processed please refer to the SCALE CTD Processing Report.</p> <table><colgroup><col><col></colgroup> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Units</strong></td> </tr> <tr> <td>Temperature</td> <td>degrees C</td> </tr> <tr> <td>Conductivity</td> <td>S/m</td> </tr> <tr> <td>Salinity</td> <td>PSU</td> </tr> <tr> <td>Oxygen in situ/Oxygen theoretical/AOU</td> <td>mL/L</td> </tr> <tr> <td>Oxygen Saturation</td> <td>%</td> </tr> <tr> <td>Density</td> <td>kg/m3</td> </tr> <tr> <td>Chlorophyll</td> <td>mg/m3</td> </tr> <tr> <td>Beam Transmission</td> <td>%</td> </tr> <tr> <td>Beam Attenuation</td> <td>m</td> </tr> </tbody> </table>
Vertical profiles of in-situ biogenic silica (bSi) from discrete rosette bottle samples from CCE-LTER starting with cruise P1706.
Samples are taken at discrete depths from rosette bottles in the California Current Ecosystem and measured for biogenic silica (bSi) concentration to create bSi depth profiles. Diatom community and physiology affect biogenic silica concentration. These data are being used to investigate the effects of Fe limitation on carbon and silica cycling in the CCE.
Fig. 2 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 2. Presence of Phyllocoptes fructiphilus in Leon County, Florida, USA, in (A) Feb 2019 and (B) Jul 2019. Orange dots indicate sites sampled that had P. fructiphilus. Gray dots indicate surveyed areas where no P. fructiphilus were found. (C) Average number of P. fructiphilus per rose sample. Samples were taken from sites in Leon County, Florida, on 14 Feb and 16 Jul 2019. Asterisks represent significant differences as calculated by pairwise t-tests of the 5 sites tested for P. fructiphilus during both mo. P-value <0.001.
Fig. 1 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 1. (A) Symptoms of rose rosette disease: witches' broom, and (B) excessive thorn proliferation; (C) Phyllocoptes fructiphilus Keifer (female) from Leon County, Florida, USA: body (scale bar = 100 µm); (D) enlargement of P. fructiphilus prodorsal shield to show detail (scale bar = 20 µm).
Fig. 1 in New records of mealybugs (Hemiptera: Pseudococcidae) infesting rosettes of Conilon coffee plants in the state of Rondônia, South-Western Amazon, Brazil
Fig. 1. Ferrisia dasylirii and Planococcus minor in rosettes of Conilon coffee trees in the state of Rondônia, South-Western Amazon, Brazil. (A-B) Colonies of F. dasylirii on peduncles of coffee fruits. (C) Fruits covered by sooty mold on top of F. dasylirii honeydew. (D) Branch with damage (scattered grain) of F. dasylirii. (E) Dorsal view of an F. dasylirii adult female. (F) Imatures and adult females of P. minor. Photos (A-C) and (E-F) Rondelli VM; (D) Dias JRM.
Fig. 1 in Effects of relative humidity on the vector of rose rosette disease, Phyllocoptes fructiphilus (Eriophyidae), and incidence of disease symptoms
Fig. 1. Mean (± SE) number of Phyllocoptes fructiphilus under various relative humidity regimes (A) by wk and (B) for the duration of the experiment. The same letters within a wk afer infestation or bars are not significantly different (ANOVA followed by Tukey's HSD test; α = 0.05). Where no differences were observed, no letters are included.
Fig. 2 in Effects of relative humidity on the vector of rose rosette disease, Phyllocoptes fructiphilus (Eriophyidae), and incidence of disease symptoms
Fig. 2. Mean (± SE) (A) proportion of rose rosette disease symptomatic terminals and (B) value of the Horsfall-Barratt scale on the severity of rose rosette disease. The same letters within a wk afer infestation are not significantly different (ANOVA followed by Tukey's HSD test; α = 0.05). Where no differences were observed, no letters are included.
FIG. 8 in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 8. — Bebryce studeri Whitelegge, 1897 (MNHN-Oct.0000-0569): A, point sclerites; B, collaret spindles; C, sclerites of calyx margin; D, E, rosettes of surface layer; E, top views. Scale bars: 0.10 mm.
FIG. 10 in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 10. — Bebryce stellata Hentschel, 1903 (RMNH Coel. 39560): A, point sclerites; B, collaret spindles; C, tentacle rod; D, sclerites of calyx margin; E, rosettes of surface layer. Scale bars: 0.10 mm.
FIG. 7. — Bebryce inermis n in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 7. — Bebryce inermis n. sp., paratype (RMNH Coel. 39557): A, stellate plates of subsurface layer; B, less developed sclerites of subsurface layer. Scale bar: 0.10 mm.
FIG. 5. — Bebryce inermis n in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 5. — Bebryce inermis n. sp., holotype (MNHN) and paratype (*, RMNH Coel. 38924): A, rosettes of surface layer; B, stellate plates of subsurface layer; C, less developed sclerites of subsurface layer. Scale bar: 0.10 mm.
FIG. 6. — Bebryce inermis n in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 6. — Bebryce inermis n. sp., paratype (RMNH Coel. 39557): A, point sclerites; B, collaret spindles; C, sclerites of calyx margin; D-F, rosettes of surface layer; E, top view. Scale bars: 0.10 mm.
FIG. 3 in An overview of Bebryce (Cnidaria, Octocorallia, Plexauridae) species with tiny rosettes, with the description of a new species from the Gulf of Oman
FIG. 3. — Live colonies of Bebryce inermis n. sp.: A, a colony with extended polyps, overgrown by sponges on some parts; B, a colony hanging from a rocky underwater cliff. Photos: M. Claereboudt.
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