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528 results for “ACE”

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dryad40/100

Dataset for: Ace and ace-like genes of invasive redlegged earth mite: Copy number variation, target-site mutations, and their associations with organophosphate insensitivity

Open the record for dataset details and reuse information.

publicJun 2023View details →
dryad40/100

Single-cell profiling identifies ACE+ granuloma macrophages as a non-permissive niche for intracellular bacteria during persistent Salmonella infection

Open the record for dataset details and reuse information.

publicJan 2023View details →
zenodo36/100

Raw stable water isotope measurements in water vapour at 13.5 m a.s.l., made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>This dataset includes the raw data of stable water vapour isotope (&delta;18O, &delta;2H, deuterium excess) and water vapour mixing ratio measurements taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130. This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines.</p> <p>Two similar datasets also measuring stable water isotopes (SWIs) in water vapour were collected during the same expedition and can be distinguished from this dataset due to the height of the measurement collection (8 m a.s.l rather than 13.5 m a.s.l). The three ACE datasets of SWIs in water vapour are described and compared in Thurnherr et al. (2020).</p> <p>The calibrated dataset can be found with DOI: 10.5281/zenodo.3250790.</p> <p><strong>Dataset contents</strong></p> <ul> <li>year/month/day/HIDS2054-${year}${month}${day}-${time:Hhmmss}Z-DataLog_User.dat, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Change log</strong></p> <p><strong>v1.1</strong> - Added 13.5 m a.s.l to title of dataset to distinguish it from other similar datasets collected during the expedition. Added calibrated dataset DOI and information about other SWI datasets from ACE, to abstract. Added reference to Thurnherr et al. (2020) to README.txt. Updated citation of dataset in README.txt.</p> <p><strong>v1.0</strong> - Initial release of raw stable water isotope measurements in water vapour dataset.</p> <p><strong>Dataset license</strong></p> <p>This stable water isotope measurements in water vapour 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>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Raw stable water isotope measurements in water vapour at 8 m a.s.l. on the starboard side of the ship, made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>This dataset includes the raw data of stable water vapour isotope (&delta;18O, &delta;2H, deuterium excess) and water vapour mixing ratio measurements at a height of approximately 8 meters above sea level taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130-i mounted on the starboard side of the ship. L2130-i was operated only during two months in February and March 2017 from Hobart (Australia) to Cape Town (South Africa). This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines.</p> <p>Two similar datasets also measuring stable water isotopes (SWIs) in water vapour were collected during the same expedition and can be distinguished from this dataset due to the height of the measurement collection (at 8 m a.s.l and 13.5 m a.s.l). The three ACE datasets of SWIs in water vapour are described and compared in Thurnherr et al. (2020).</p> <p><strong>Dataset contents</strong></p> <ul> <li>leg*/HIDS2018-yyyymmdd-hhmmssZ-DataLog_User.dat, data file, comma-separated values</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 raw stable water isotope measurements dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0</p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

Particulate organic carbon concentration in seawater profiles collected on board the R/V Akademik Tryoshnikov in the Southern Ocean during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>Seawater samples were collected from a Conductivity, Temperature, Depth (CTD) rosette, which was deployed from the R/V Akademik Tryoshnikov. The samples were collected at a number of locations in the Southern Ocean as part of the Antarctic Circumnavigation Expedition (ACE) during the expedition that took place in the Austral summer of 2016/2017. Particulate organic matter (POC) is inclusive of all living and detrital material. It is the most common form of organic carbon matter that results from photosynthesis by phytoplankton. Seawater samples were filtered during the expedition and analysed post-cruise to provide this dataset of POC concentration profiles.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_ctd_particulate_organic_carbon_concentration.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This particulate organic carbon concentration in seawater dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/</p>

opencc-by-4.0Mar 2020View details →
zenodo36/100

Uncorrected inertial navigation dataset collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>A HYDRINS Inertial Navigation System (INS) was installed on the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as it circumnavigated Antarctica as part of the Antarctic Circumnavigation Expedition (ACE).</p> <p>This dataset is uncorrected but has been converted from text files to daily comma-separated files for ease of use. Otherwise the dataset has undergone no further processing.</p> <p>It covers the period from November 2016 &ndash; April 2017. Heading, attitude, position and speed data are provided.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_hydrins_YYYYMMDD.txt, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This uncorrected inertial navigation 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>

opencc-by-4.0Aug 2019View details →
zenodo36/100

Ammonium concentrations in surface seawater profiles in the Southern Ocean collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>Seawater samples were collected from the ship&#39;s underway system or from the surface niskin bottle from the CTD rosette. Some incidental samples were collected from the surface using a bucket from the side of the ship or a zodiac. The samples were collected every 6 hours from the underway and from every CTD cast as part of the Antarctic Circumnavigation Expedition (ACE) which took place in the Austral summer of 2016/2017.</p> <p>Ammonium is representative of the recycled nitrogen pool in the upper mixed layer where inputs include marine production and terrestrial runoff. Seawater samples were collected and frozen during the expedition and analysed post-cruise and quality controlled to produce this dataset, which presents ammonium concentration in surface seawater from the Southern Ocean.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_ammonium_concentration_surface_seawater.csv file, data file, comma-separated values</li> <li>ace_ammonium_concentration_surface_seawater_chnage_log.txt, metadata, text</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Change log</strong></p> <p><strong>v1.1</strong> - Added detection limit to README.txt. Data points formatted to 2 decimal places.</p> <p><strong>v1.0</strong> - Initial release of dataset</p>

opencc-by-4.0Mar 2020View details →
zenodo36/100

Decoded telegrams of surface weather observations in the Southern Ocean on board the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017.

<p><strong>Dataset abstract</strong></p> <p>This dataset contains decoded reports of surface weather observations in the Southern Ocean made aboard the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE), in the austral summer of 2016/2017. The observations were made by a meteorologist on board the ship and sent as telegrams encoded with World Meteorological Organisation (WMO) FM 13 code form. Posteriorly, the telegrams were decoded to produce this dataset.</p> <p>The telegrams were recorded on a 3-hourly basis and contain information about present and past weather; latitude, longitude, speed and direction of the ship; visibility; type, height and amount of clouds; speed and direction of wind; air, dew-point and sea-surface temperatures; barometric pressure; period, height and direction of waves; concentration of sea ice; etc. For more information on this type of report, please see the WMO Manual on Codes (WMO-No.306), Volume I.1, Part A. The original encoded files have been published separately (Veledin and Gorodetskaya, 2020; DOI 10.5281/zenodo.3734884).</p> <p>Data files have undergone no processing or quality-checking, therefore, if the variable you need is available in another ACE dataset, it is recommended to use the quality-checked data. Quality-checked meteorological data collected during ACE have been published separately (Landwehr et al., 2019; DOI 10.5281/zenodo.3379590).</p> <p><strong>Dataset contents</strong></p> <ul> <li>ACE_telegram_decoded_YYYY_MM_DD_HHh.txt, data file, ASCII comma-separated</li> <li>README.txt, metadata, text file</li> <li>data_file_header.txt, metadata, text file</li> <li>Telegram_code_format.pdf, metadata, portable document format</li> </ul> <p><strong>Dataset license</strong></p> <p>This set of decoded meteorological telegrams are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/</p>

opencc-by-4.0Apr 2020View details →
zenodo36/100

Original telegrams of surface weather observations in the Southern Ocean on board the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017.

<p><strong>Dataset abstract</strong></p> <p>This dataset contains original reports of surface weather observations in the Southern Ocean made aboard the R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE), in the austral summer of 2016/2017. The observations were made by a meteorologist on board the ship and encoded with FM 13&ndash;XIV Ext. SHIP code form (Report of surface observation from a sea station). The encoded telegrams were sent to the World Meteorological Organisation (WMO) and archived on the ship.</p> <p>The telegrams were usually recorded on a 3-hourly basis (at 0000, 0300, 0600, 0900, 1200, 1500, 1800, 2100 UTC) and on some dates on a 6-hourly basis. They contain information about present and past weather; latitude, longitude, speed and direction of the ship; visibility; type, height and amount of clouds; speed and direction of wind; air, dew-point and sea-surface temperatures; barometric pressure; period, height and direction of waves; concentration of sea ice; information about land ice. Data coverage is from November 2016 until April 2017, with some data missing from February and March.</p> <p>For more information on this type of report, please see the WMO Manual on Codes (WMO-No.306), Volume I.1, Part A:<br> https://library.wmo.int/index.php?lvl=notice_display&amp;id=13617#.XoHf4oW3Ih4</p> <p>Data files have undergone no processing or quality-checking, therefore, if the variable you need is available in another ACE dataset, it is recommended to use the quality-checked data. These telegrams have been decoded and are available in another related dataset.</p> <p><strong>Dataset contents</strong></p> <ul> <li>UBXH3mmdd.HHh, data file, text file</li> <li>README.txt, metadata, text file</li> </ul> <p><strong>Dataset license</strong></p> <p>This set of original meteorological telegrams are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0/</p>

opencc-by-4.0Apr 2020View details →
zenodo36/100

Five-minute average horizontal wind velocity data combined from both sensors (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.

<p><strong>Dataset abstract</strong></p> <p>The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were averaged to five-minute resolution and have been combined via vector averaging of the data. The ten meter neutral wind speed (U10N) has been estimated using ERA-5 surface heat fluxes, which were interpolated onto the ship&#39;s track, and the COARE 3.5 drag coefficient. This data set provides a continous and high-resolution record of the wind speed and direction near to the ship&#39;s location.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-port-stbd-corrected-combined-5min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This five-minute averaged wind velocity 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>

opencc-by-4.0May 2020View details →
zenodo36/100

Air-flow distortion bias factors of the port and starboard anemometers of the Akademik Tryoshnikov estimated during the Antarctic Circumnavigation Expedition (ACE) legs 0-4 undertaken during the austral summer of 2016/2017.

<p><strong>Dataset abstract</strong></p> <p>This data set contains the air-flow distortion bias factors of the port and starboard anemometers of the Akademik Tryoshnikov estimated during the Antarctic Circumnavigation Expedition (ACE) legs 0-4 undertaken during the austral summer of 2016/2017. The data are provided over overlapping wind direction secotors of 5(10) degree width stepped by 1(2) degrees relative wind direction. These bias factors can be used to correct the observed wind speeds for air-flow distortion on a sample by sample basis. For details see Landwehr et al. (2019; DOI: https://doi.org/10.5194/amt-2019-366).</p> <p><strong>Dataset contents</strong></p> <ul> <li>flow_distortion_bias_sensor1.csv, data file, comma-separated values</li> <li>flow_distortion_bias_sensor2.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This dataset of air-flow distortion factors 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>

opencc-by-4.0May 2020View details →
zenodo36/100

One-minute average horizontal wind velocity data (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.

<p><strong>Dataset abstract</strong></p> <p>One-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. The data has been corrected for air-flow distortion, which was caused by the ship&#39;s super structure.</p> <p><strong>Dataset contents</strong></p> <ul> <li>wind-observations-stbd-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>wind-observations-port-corrected-1min-legs0-4.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This one-minute averaged wind velocity 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>

opencc-by-4.0May 2020View details →
zenodo36/100

Vertical profiles of Doppler spectra of hydrometeors from a Micro Rain Radar recorded during the austral summer of 2016/2017 in the Southern Ocean on the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>This dataset includes vertical profiles of the Doppler spectra and derived quantities of hydrometeors using a Micro Rain Radar (MRR-2) during the Antarctic Circumnavigation Expedition in 2016/2017. The MRR is a frequency-modulated-continuous-wave (FMCW) Doppler radar working at 24 GHz (K band). It measures the Doppler spectrum at vertical incidence with 31 range gates of 100 m. The data are processed to calculate rainfall rates and standard radar moments. For rain events, the drop size distribution and the rainfall rate are derived using the method by Peters et al. (2005). For snow events, the moments are computed from the Doppler spectrum as described in Maahn &amp; Kollias (2012).</p> <p><strong>Dataset contents</strong></p> <ul> <li>RawSpectra/${year}${month}/MRR_ACE_${year}${month}${day}_RAW.nc: raw data of Doppler spectra for rainfall events. Null values are denoted as -99900.</li> <li>ProcessedData/${year}${month}/MRR_ACE_${year}${month}${day}_PRO.nc: 10-second averages (highest resolution) for specific rain events, using the standard products from Metek (MRR physical basics, 2009).</li> <li>AveData/${year}${month}/MRR_ACE_${year}${month}${day}_AVE.nc: one-minute averages, using the standard products from Metek (MRR physical basics, 2009).</li> <li>Processed_IMProToo/${year}${month}/mrr_improtoo_0.101_ACE_${year}${month}${day}.nc: processed data for snow events using IMProToo (Maahn &amp; Kollias 2012) in one-minute averages.</li> <li>RR_timeline/${year}${month}/RR_MRR_ACE_${year}${month}${day}.csv: 10-minute running mean with one-minute resolution of rain rate for [100-200]m and [200-300]m range gate. Null values are denoted as &lsquo;nan&rsquo;.</li> <li>RR_timeline/${year}${month}/RR_MRR_ACE_${year}${month}${day}.png: daily plots of rain rates.</li> <li>PrecipitationEvents.txt: text file classifying the precipitation events according to hydrometeors (rain, snow or hail).</li> <li>Graphs_Metek/${year}${month}/moments_MRR_ACE_${year}${month}${day}_AVEnc.png: daily plots of Radar reflectivity and Doppler velocity for rain events.</li> <li>Graphs_IMProToo/${year}${month}/moments_mrr_improtoo_0101_ACE_${year}${month}${day}.png: daily plots of Radar reflectivity and Doppler velocity for snow events.</li> <li>RawSpectra_data_file_header.txt, metadata, text format</li> <li>Metek_ProcessedData_data_file_header.txt, metadata, text format</li> <li>IMProToo_ProcessedData_data_file_header.txt, metadata, text format</li> <li>AveData_data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> <li>change_log.txt, metadata, text format</li> </ul> <p><strong>Change log</strong></p> <ul> <li>v1.2 - Amended abstract text. Changed descriptions of files in dataset contents. Added dataset license to README. Updated README and change_log files.</li> <li>v1.1 - Added missing PrecipitationEvents.txt file. Added change_log.txt file.</li> <li>v1.0 - Initial version of dataset.</li> </ul> <p><strong>Dataset license</strong></p> <p>This vertical Doppler spectra profile 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>

opencc-by-4.0Aug 2019View details →
zenodo36/100

Nutrient concentration in seawater samples, collected from the underway supply, CTD and trace metal rosettes in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>This dataset presents concentrations of nutrients (&micro;mol/L): nitrous oxide (NOx), nitrate, nitrite, ammonium (NH4), phosphate (PO4) and silicic acid (Si), measured in samples of seawater during the Antarctic Circumnavigation Expedition (ACE). Samples were collected from CTD and trace metal rosette (TMR) deployments, as well as from the underway water supply on board, then analysed by flow injection following certified standards. This data was collected to support physical, chemical and biological oceanography studies in the Southern Ocean, conducted as part of ACE during the austral summer of 2016/2017.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_seawater_nutrient_data.csv, data file, comma-separated values</li> <li>data_analysis_nutrient_concentration_standards.csv, metadata, comma-separated values</li> <li>quality_checking_crm_analysis_results.csv, metadata, comma-separated values</li> <li>nutrient_concentrations_along_track_visualisation.png, metadata, portable network graphics</li> <li>ace_seawater_nutrients_comparison_plots_tmr_ctd.pdf, metadata, portable document format</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata text</li> <li>change_log.txt</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - various changes to data and metadata, described below</p> <ul> <li>added further data points to data file (those sampled from trace metal rosette)</li> <li>added ACE station number and ACE event number to data file</li> <li>reordered columns in data file</li> <li>updated README with information about sampling of trace metal rosette</li> <li>updated README with new citation, license, dataset contact and dataset contents, updated abstract</li> <li>updated data_file_header with new data fields</li> <li>added comparison plot of CTD and TMR data points</li> <li>updated caption of plot of nutrient concentrations along track (only from CTD samples)</li> </ul> <p>v1.0 - initial release of dataset</p> <p><strong>Dataset license</strong></p> <p>This nutrient concentration 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>

opencc-by-4.0May 2019View details →
zenodo36/100

Summary raw wind data from the Southern Ocean collected on board the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017.

<p><strong>Dataset abstract</strong></p> <p>A Vaisala MAWS240 meteorological station was installed on the R/V Akademik Tryoshnikov during a circumnavigation of Antarctica in the austral summer season of 2016/2017. This dataset contains the raw wind parameter data that have been extracted from the original raw text data files. Data coverage is from 17th November 2016 until 11th April 2017, with gaps where the ship was in port.</p> <p>True and relative wind speed and direction parameters were recorded with a resolution of three seconds.</p> <p>Datetime should be combined with TIMEDIFF to convert it to UTC.</p> <p>Data from this dataset have been corrected and quality-checked in another published dataset. We recommend these data for further use (Landwehr et al., 2019; DOI 10.5281/zenodo.3379590).</p> <p><strong>Dataset contents</strong></p> <ul> <li>metdata_wind_YYYYMMDD_YYYYMMDD.csv, data file, comma-separated values</li> <li>data_file_header, metadata, text format</li> <li>README.txt, metadata, text format</li> <li>ace_meteorology_raw_wind_summary_change_log.txt</li> </ul> <p>Data files contain data for each leg of the Antarctic Circumnavigation Expedition (ACE). Dates included in the file name are the start and end dates of the legs and therefore the data within the files as well.</p> <p><strong>Change log</strong></p> <p><strong>v1.2</strong> - Added missing data from 2017-02-05 - 2017-02-08 inclusive. Updated this change log file.</p> <p><strong>v1.1</strong> - Added additional data coverage from 2016-11-17 - 2016-11-22 inclusive, into the first data file. Updated README.txt with information about data coverage. Added this change_log file.</p> <p><strong>v1.0</strong> - Initial release of raw summary meteorological data.</p> <p><strong>Dataset license</strong></p> <p>This raw meteorological 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>

opencc-by-4.0Mar 2020View details →
zenodo36/100

Raw multibeam bathymetry data collected around Southern Thule, part of the South Sandwich Island chain in the Southern Ocean on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around Southern Thule, part of the South Sandwich Island chain in the Southern Ocean in the austral summer of 2016/2017.</p> <p>Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys.</p> <p>This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution.</p> <p><strong>Dataset contents</strong></p> <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>lineYYYYDDmonHHMMSS.ssv, data file, ASCII</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw multibeam bathymetry 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>

opencc-by-4.0Oct 2019View details →
zenodo36/100

Raw multibeam bathymetry data collected around Bouvetoya in the South Atlantic Ocean on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

<p><strong>Dataset abstract</strong></p> <p>An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around Bouvetoya in the South Atlantic Ocean in the austral summer of 2016/2017.</p> <p>Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys.</p> <p>This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution.</p> <p><strong>Dataset contents</strong></p> <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw multibeam bathymetry 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>

opencc-by-4.0Oct 2019View details →
zenodo36/100

Ace-Ala-Xaa-Ala-NH2 sasa and Phi,Psi surfaces

<p>******************************************************************************<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Charles R. Watts Lab &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Protein Dynamics Data Distribution &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<br>******************************************************************************</p> <p>Contents<br>--------</p> <p>This directory contains data associated with the research paper titled:</p> <p>&nbsp; &nbsp; Burns,WA;Lovas,S;Watts,CR. "Dynamic Solvent Accessible Surface Areas of Proteogenic &alpha;-Amino Acids<br>&nbsp; &nbsp; as a Function of Explored &Phi;,&Psi; Dihedral Angle Space Modeled Using the<br>&nbsp; &nbsp; Ac-Ala-Xaa-Ala-NH2 System and CHARMM36m Force Field" International Journal of Molecular Sciences (IJMS) 2024; Sumbitted</p> <p>from the Charles R. Watts Lab at Healthpartners Institute. The data is organized&nbsp;<br>into multiple CSV files, each containing information about protein dynamics.</p> <p>File Format<br>-----------</p> <p>Each CSV file contains data in the following format:</p> <p>&nbsp; &nbsp; Time,SASA-FULL,SASA-BACKBONE,SASA-SIDECHAIN,Phi,Psi,Residue,CLUSTER<br>&nbsp; &nbsp;&nbsp;<br>The columns are defined as follows:</p> <p>&nbsp; &nbsp; Time &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;: The time point at which the data was recorded.<br>&nbsp; &nbsp; SASA-FULL &nbsp; &nbsp; &nbsp; : Solvent Accessible Surface Area for the full protein.<br>&nbsp; &nbsp; SASA-BACKBONE &nbsp; : Solvent Accessible Surface Area for the protein backbone.<br>&nbsp; &nbsp; SASA-SIDECHAIN &nbsp;: Solvent Accessible Surface Area for the protein side chain.<br>&nbsp; &nbsp; Phi &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : Dihedral angle &Phi;.<br>&nbsp; &nbsp; Psi &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; : Dihedral angle &Psi;.<br>&nbsp; &nbsp; Residue &nbsp; &nbsp; &nbsp; &nbsp; : The name of the residue being measured and position with zero based indexing.<br>&nbsp; &nbsp; CLUSTER &nbsp; &nbsp; &nbsp; &nbsp; : The secondary structure cluster associated with the residue.</p> <p>Example Data<br>------------</p> <p>Below is an example of the data format:</p> <p>&nbsp; &nbsp; Time,SASA-FULL,SASA-BACKBONE,SASA-SIDECHAIN,Phi,Psi,Residue,CLUSTER<br>&nbsp; &nbsp; 200002.0,104.19,45.93,58.26,-60.4,152.19,ALA-3,Beta<br>&nbsp; &nbsp; 200004.0,103.76,43.14,60.62,-98.82,159.36,ALA-3,Beta<br>&nbsp; &nbsp; 200006.0,102.23,45.05,57.18,-142.54,-179.97,ALA-3,Beta<br>&nbsp; &nbsp; 200008.0,104.6,48.57,56.03,-158.17,158.18,ALA-3,Beta<br>&nbsp; &nbsp; 200010.0,107.55,47.68,59.87,-164.53,157.51,ALA-3,Beta<br>&nbsp; &nbsp; 200012.0,104.79,33.72,71.07,-88.1,113.28,ALA-3,Beta</p> <p>File List<br>---------</p> <p>The following is a list of the CSV files provided in this directory:</p> <p>&nbsp; &nbsp; Ala.csv &nbsp; &nbsp; &nbsp; &nbsp;Arg:NH.csv &nbsp; &nbsp;Asp:H.csv &nbsp; &nbsp; Cys-Cys.csv &nbsp; Glu:H.csv &nbsp; &nbsp; His:ND1.csv &nbsp; Leu.csv &nbsp; &nbsp; &nbsp; Met.csv<br>&nbsp; &nbsp; Arg.csv &nbsp; &nbsp; &nbsp; &nbsp;Asn.csv &nbsp; &nbsp; &nbsp; Cys-.csv &nbsp; &nbsp; &nbsp;Gln.csv &nbsp; &nbsp; &nbsp; Gly.csv &nbsp; &nbsp; &nbsp; His:NE2.csv &nbsp; Lys.csv &nbsp; &nbsp; &nbsp; Phe.csv<br>&nbsp; &nbsp; Arg:NE.csv &nbsp; &nbsp; Asp.csv &nbsp; &nbsp; &nbsp; Cys.csv &nbsp; &nbsp; &nbsp; Glu.csv &nbsp; &nbsp; &nbsp; His+.csv &nbsp; &nbsp; &nbsp;Ile.csv &nbsp; &nbsp; &nbsp; Lysn.csv &nbsp; &nbsp; &nbsp;Pro:cis.csv<br>&nbsp; &nbsp; Arg:NH.csv &nbsp; &nbsp; Asp:H.csv &nbsp; &nbsp; Cys-Cys.csv &nbsp; Glu:H.csv &nbsp; &nbsp; His:ND1.csv &nbsp; Leu.csv &nbsp; &nbsp; &nbsp; Met.csv &nbsp; &nbsp; &nbsp; Pro:trans.csv<br>&nbsp; &nbsp; Trp.csv &nbsp; &nbsp; &nbsp; &nbsp;Tyr-.csv &nbsp; &nbsp; &nbsp;Tyr.csv &nbsp; &nbsp; &nbsp; Ser.csv &nbsp; &nbsp; &nbsp; Thr.csv &nbsp; &nbsp; &nbsp; Val.csv</p> <p>Each file contains similar data but for different residues. There is also a directory inside called Probability Surface. This contains all the smoothed probability of each angular measurment binned to 1 degree and smoothed using the algorithm from Lovell 2003.&nbsp;</p> <p>Usage<br>-----</p> <p>The data can be read into a variety of software packages for further analysis,&nbsp;<br>including but not limited to:</p> <p>&nbsp; &nbsp; - Python (pandas, numpy)<br>&nbsp; &nbsp; - R (data.table, readr)<br>&nbsp; &nbsp; - MATLAB<br>&nbsp; &nbsp; - Microsoft Excel</p> <p>License<br>-------</p> <p>This data is liscences under the Creative Commons Attribution 4.0 International (CC BY 4.0) liscence. You are free to share and adapt the data,<br>provided you give appropriate credit. When using this data, please cite as follows below:&nbsp;<br>The data comes with no warranty, express or implied.<br>please cite the following DOI: 10.5281/zenodo.13137464.</p> <p>Contact<br>-------</p> <p>For any inquiries or issues related to the data, please contact:</p> <p>&nbsp; &nbsp; Charles R. Watts Lab<br>&nbsp; &nbsp; Department of Neurosurgery<br>&nbsp; &nbsp; Healthpartners/Park Nicollet/Methodist Hospital<br>&nbsp; &nbsp; Email: charles.watts@parknicollet.com<br>******************************************************************************</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

ACE AMIP climatology

<p>This dataset contains the seasonaly climatology from an AMIP run using ACE and PCMDI SST and sea ice forcings.&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Molecular Dynamics Trajectory of CsPbI3 produced using ACE MLFF

<p>Molecular dynamics trajectories of&nbsp;CsPbI3, with 2 fs timestep between computed frames, frames are recorded every 200 fs. Under each folder, there are three npz files (each contains 100 ps of trajectory)&nbsp;and one initial configuration LAMMPS data file. The npz files can be read with &#39;numpy.load&#39;. There are three entries for each npz object, &#39;positions&#39; for the atomic positions, &#39;cells&#39; for the lattice dimensions, and &#39;numbers&#39; for the atomic number of the species.&nbsp;</p>

opencc-by-4.0Jun 2023View details →

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