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SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER09, 2004-02-24 to 2004-03-04

The data described here were collected on LTER09 which took place from 2004-02-24 to 2004-03-04 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER09, additional CTD samples were collected to document brown water at the mouth of the Ventura River after a rain event. On this cruise, additional stations and are identified as VenturaPlume

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER10, 2004-05-06 to 2004-05-13

The data described here were collected on LTER10 which took place from 2004-05-06 to 2004-05-13 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP.

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER11, 2004-09-08 to 2004-09-16

The data described here were collected on LTER11 which took place from 2004-09-08 to 2004-09-16 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz and RDInstruments Ocean Surveyor 75kHz ADCP.

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER12, 2005-01-20 to 2005-01-27

The data described here were collected on LTER12 which took place from 2005-01-20 to 2005-01-27 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz and RDInstruments Ocean Surveyor 75kHz ADCP. On Cruise LTER12, additional CTD samples were collected to substitute for Traxis failure. On this cruise, additional stations and are identified as NS001-NS010

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER13, 2005-04-23 to 2005-04-30

The data described here were collected on LTER13 which took place from 2005-04-23 to 2005-04-30 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Triaxis) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz ADCP. On Cruise LTER13, additional water samples were collected at the request of the Carlson group for viral analysis. On this cruise, additional stations and are identified as CRAIG001-CRAIG002

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER14, 2005-10-07 to 2005-10-14

The data described here were collected on LTER14 which took place from 2005-10-07 to 2005-10-14 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz and RDInstruments Ocean Surveyor 75kHz ADCP. On Cruise LTER14, additional water and CTD samples were collected at the request of the Carson group for viral analysis, to document area off Mohawk Reef (also for the Carlson group) and sample the eddy near line "C". On this cruise, additional stations and are identified as CRAIG001-CRAIG002, CC01-CC010, E001-E005, respectively

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER15, 2006-02-02 to 2006-02-09

The data described here were collected on LTER15 which took place from 2006-02-02 to 2006-02-09 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz and RDInstruments Ocean Surveyor 75kHz ADCP.

SBC LTER: CTD profiles from UNOLS cruises in the Santa Barbara Channel: LTER16, 2006-04-26 to 2006-05-03

The data described here were collected on LTER16 which took place from 2006-04-26 to 2006-05-03 on the RV Pt. Sur. Cruises have been conducted in the Santa Barbara Channel, California, USA, 3-4 times per year since March, 2001 and are approximately 7 days in length. There are 4 basic types of measurements: Profiles at 25 grid stations unique to the SBCLTER and 7 cross-channel stations (also occupied by the Plumes and Blooms project). Measurements include primary production, basic CTD parameters (Seabird 911-plus), inorganic nutrients, phytoplankton pigments, particulate organic carbon and nitrogen, natural abundances of N and C isotopes, and occasionally biogenic and lithogenic silica, optics, and/or dissolved organic carbon. Two-dimensional sections of oceanic constituents are recorded in the top 120m with an undulating towed CTD scanning system (Scanfish) on both along shore and cross-channel transects. Underway measurements: fluorometry, salinity and temperature are collected at a depth of 3m with a flow-through system which also includes continuous climate measurements. Underway acoustic dopler current profiles were collected using a RDInstruments Workhorse 300kHz and RDInstruments Ocean Surveyor 75kHz ADCP. On Cruise LTER16, additional CTD samples were collected to document a red tide, the area off Naples Reef, and at Campus Point. On this cruise, additional stations and are identified as RED001-RED007, NAPLES001-010, and CAMPUSPOINT001, respectively

openCustomMay 2025View details →

Light profiles in the water column of coastal bays of Virginia 2011-2024

Measurements of light extinction were made from a small boat at designated stations. Measurements were taken above the water (AIR), 10 cm below the surface (SURFACE) and at depths from 25 cm (D_025cm) to 250 cm (D_250cm) below the surface. All light measurements were made with a Licor 4-pi quantum Photosynthetically Active Radiation (PAR) sensor LI-193 and a LI-1000 or LI-250a light meter. All light units are in microEinsteins (moles of photons) Calculations of the extinction coefficient (Kd) should NOT include air measurements.

opencc-by-4.0Dec 2019View details →

Scarp height data and topographic profiles from the Zomba Graben, southern Malawi

Measurements of fault scarp height from five faults in the Zomba Graben, southern Malawi (Table S1-S6). Topographic profiles used to measure the height of the scarp are in Tables S7-S11. For more details of this dataset please refer to Wedmore, L. N. J., Biggs, J., Williams, J. N., Fagereng, Å. Dulanya, Z., Mphepo, F., & Mdala, H. (2020). Active fault scarps in southern Malawi and their implications for the distribution of strain in incipient continental rifts. Tectonics, 39(3), <a href="https://doi.org/10.1029/2019TC005834">https://doi.org/10.1029/2019TC005834</a>   Please contact the author, Luke Wedmore (luke.wedmore@bristol.ac.uk) for more details.

opencc-by-sa-4.0May 2020View details →

Data for "Competing for capitals: the great fragmentation of the firm and varieties of FDI attraction profiles in the European Union""

Dataset for https://www.tandfonline.com/doi/full/10.1080/09692290.2020.1737564   Code available at https://osf.io/q6x97/

opencc-by-4.0Sep 2020View details →

Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

Single cell RNA seq datasets used for analysis in the Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

opencc-by-4.0Dec 2020View details →

Radar measurements for the article "Dynamic differential reflectivity calibration using vertical profiles in rain and snow"

Dataset documentation The archives in hdf5 format provided at this link contain the datasets used in the manuscript Dynamic differential reflectivity calibration using vertical profiles in rain and snow, submitted to Remote Sensing (MDPI) by Alfonso Ferrone and Alexis Berne in 2020.   File content Each file is structured as a table, with each column referring to a specific variable and each row containing a different realization (in space or time). The set of available variables is campaign dependent, and the possibilities are: <ul> <li> idx, and integer index that starts at 1 for the first scan of the dataset and increases by 1 for every successive scan; </li> <li> t, the timestamp of the scan, in seconds since seconds since Jan 01, 1970; </li> <li> r or rg (depending on the file), the distance from the radar in meters; </li> <li> az, the azimuth angle in degrees; </li> <li> el, the elevation angle in degrees; </li> <li> zdr, the uncalibrated differential reflectivity, in dB; </li> <li> zh, the horizontal reflectivity, in dBZ; </li> <li> rhovh or rho, the co-polar correlation coefficient, unitless; </li> <li> snr_h or snr, the signal to noise ratio for the horizontal channel in dB; </li> <li> snrv, the signal to noise ratio for the vertical channel, in dB, </li> <li> ngates, the number of unique range gates. </li> </ul> For the comparison of the data collected by MXPol and DX50 during the PAYERNE campaign, two auxiliary variables were added to the archives: <ul> <li> x the horizontal distance from the current radar, computed on a line passing through the location of two radars; </li> <li> z the vertical distance from the current radar. </li> </ul>   Usage The dataset are provided in the the Hierarchical Data Format version 5 (HDF5), an open source file format, supported by several programming language. They archives were created using the vaex library for Python 3: https://github.com/vaexio/vaex The function vaex.open from the same library can be used for accessing the archives and converting them to vaex.DataFrame.   Campaign-specific information Some of the parameters associated to the variables included in the archives may change depending on the campaign. The following subsection provide a summary of these information.   dataframe_HYMEX_2013_from_20130907-040344_to_20131105-175944.hdf5 Contains PPI scans at 90° elevation for the HYMEX campaign. Location information: <ul> <li> Latitude: 44.61° N </li> <li> Longitude: 4.55° E </li> <li> Altitude: 604 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.41 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.45° </li> </ul> Scan setup: <ul> <li> Range resolution: 75 m </li> <li> Range to the first gate: 204.3 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.6 </li> <li> Attenuation correction: Z-PHI method </li> <li> Note on reflectivity calibration: The original manufacturer calibration constant was 7.56 dBZ. The value used here derives from comparison with disdrometers during the HYMEX campaign. </li> </ul>   dataframe_PAYERNE_2014_from_20140321-160016_to_20140519-085808.hdf5 Contains PPI scans at 90° elevation performed by MXPol during the PAYERNE campaign. Location information: <ul> <li> Latitude: 46.81° N </li> <li> Longitude: 6.94° E </li> <li> Altitude: 496 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.41 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.45° </li> </ul> Scan setup: <ul> <li> Range resolution: 75 m </li> <li> Range to the first gate: 204.3 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.6 </li> <li> Attenuation correction: None </li> </ul>   dataframe_DAVOS_2014_from_20140704-090224_to_20141231-105720.hdf5 Contains PPI scans at 90° elevation for the DAVOS campaign. Location information: <ul> <li> Latitude: 46.82° N </li> <li> Longitude: 9.82° E </li> <li> Altitude: 2220 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.41 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.45° </li> </ul> Scan setup: <ul> <li> Range resolution: 75 m </li> <li> Range to the first gate: 204.3 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.6 </li> <li> Attenuation correction: None </li> </ul>   dataframe_APRES3_from_20151207-123944_to_20160129-125856.hdf5 Contains PPI scans at 90° elevation for the APRES3 campaign. Location information: <ul> <li> Latitude: 66.66 S </li> <li> Longitude: 140.00 E </li> <li> Altitude: 40 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.41 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.45° </li> </ul> Scan setup: <ul> <li> Range resolution: 75 m </li> <li> Range to the first gate: 354.3 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.6 </li> <li> Attenuation correction: None </li> </ul>   dataframe_VALAIS_2016_from_20161104-154312_to_20170306-195912.hdf5 Contains PPI scans at 90° elevation for the VALAIS campaign. Location information: <ul> <li> Latitude: 46.12 N </li> <li> Longitude: 7.10 E </li> <li> Altitude: 460 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.41 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.27° </li> </ul> Scan setup: <ul> <li> Range resolution: 30 m </li> <li> Range to the first gate: 226.95 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.6 </li> <li> Attenuation correction: None </li> </ul>   dataframe_DX50_from_20140501-020000_to_20140524-015752.hdf5 Contains PPI scans at 90° elevation performed by DX50 during the PAYERNE campaign. Location information: <ul> <li> Latitude: 46.84° N </li> <li> Longitude: 6.92° E </li> <li> Altitude: 450 m.a.s.l. </li> </ul> Technical information: <ul> <li> Radar Frequency: 9.459 GHz </li> <li> Theoretical 3 dB angular beamwidth of the antenna: 1.273° </li> </ul> Scan setup: <ul> <li> Range resolution: 75 m </li> <li> Range to the first gate: 0.0 m </li> </ul> Processsing parameters: <ul> <li> Clutter filtering: OFF </li> <li> Minimum rhohv: 0.0 </li> <li> Attenuation correction: None </li> </ul>   dataframe_DX50_RHI_201405.hdf5 Contains RHI scans from DX50 the PAYERNE campaign. The remaining information equal to the ones listed for dataframe_DX50_from_20140501-020000_to_20140524-015752.hdf5.   dataframe_MXPol_RHI_201405.hdf5 Contains RHI scans from MXPol the PAYERNE campaign. The remaining information is equal to the ones listed for dataframe_PAYERNE_2014_from_20140321-160016_to_20140519-085808.hdf5.

opencc-by-4.0Jan 2021View details →

TMY hourly generation profiles for Insolight hybrid Si/III-V planar micro-tracking modules in Madrid

Hourly energy density (1 m2) generation profiles for Insolight hybrid Si/III-V planar micro-tracking modules installed in Madrid (40.5°N, -3.75°E), synthetically generated using <a href="https://github.com/isi-ies-group/cpvlib">CPVLIB library</a> (based on <a href="https://pvlib-python.readthedocs.io/en/stable/">PVLIB Python</a>) and ERA5 typical meteorological year. Performance model parameters were empirically fitted using several outdoor monitoring campaigns and indoor characterization at the <a href="https://www.ies.upm.es/Investigacion/Research_Lines/Concentrator_photovoltaics/CPV_characterization">collimated-light solar simulator</a> available at IES-UPM. Location: 40.5°N, -3.75°E Format: CSV (separator: semicolon); headers in first row. Parameters (ordered from first column):  <ul> <li>Time: YYYY-MM-DD HH:MM:SS+TimeZoneOffset</li> <li>Latitude: latitude of the installation in °N</li> <li>Longitude: longitude of the installation in °E</li> <li>Wind speed [m/s]: average wind speed</li> <li>Tair [°C]: average ambient temperature</li> <li>precipitable_water [mm]: average precipitable water in the atmosphere</li> <li>GHI [Wh/m2]: global horizontal irradiation</li> <li>DHI [Wh/m2]: diffuse horizontal irradiation</li> <li>DNI [Wh/m2]: direct (beam) normal irradiation</li> <li>CPV submodule [kWh/m2]: energy generated per m2 by the III-V CPV submodule</li> <li>Flat-plate submodule [kWh/m2]: energy generated per m2 by the Si flat-plate submodule</li> <li>Hybrid [kWh/m2]: energy generated per m2 by the whole Insolight hybrid module</li> </ul>

opencc-by-4.0Feb 2023View details →

TCOM-HF : Daily global gap-free stratospheric hydrogen fluoride (HF) profile data set based on TOMCAT CTM and Occultation Measurements

Methodology:  TOMCAT simulation is performed at T64L32 resolution for the 2000-2024 time period. Collocated hydrogen fluoride (HF) profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Initially, model-measurement  differences are calculated for each zonal bins (51 height levels, 10km to 60km). Note that if enough ACE measurements are not avaliable for a particular level then data is purely based on TOMCAT simulated output field. Separate XGBoost regression models are trained for the  differences between TOMCAT and measurements at each level for a given latitude bin. XGBoost model is then used to estimate error corrections for all the TOMCAT grids.  TOMCAT output sampled at 1.30 pm local time at the equator. Estimated corrections for a given model grid that are added to the original TOMCAT simulated day and night time hydrogen fluoride profiles. Height resolved data are then interpolated on 28-pressure levels (300 - 0.1hPa). For overlapping latitude bins, we use averages and then calculate daily zonal mean values.  For more details see attached presentation. Previous version use both HALOE and ACE data. Here only ACE data is used. Dataset also includes two files containing daily mean zonal mean hydrogen fluoride  profiles on height (10-50 km) and pressure (300-0.1 hPa) levels: zmhf_TCOM_hlev_T2Dz_2000_2024.nc – height level data (10 to 50 km) zmhf_TCOM_plev_T2Dz_2000_2024.nc – pressure level data (300 to 0.1 hPa) Daily 3D profiles on height and pressure levels would be made available on request.

opencc-by-4.0Jun 2021View details →

ML-TOMCAT V2.0: Machine-Learning-Based Satellite-Corrected Global Stratospheric Ozone Profile Dataset

MLTOMCAT V2 is 46 years (1979-2024) of gap free ozone profile data sets that is created by correcting biases in a TOMCAT Chemical Transport Model (CTM) simulated ozone profiles. We use Random Forest regression model to correct model biases.  Each file contain monthly mean zonal mean ozone profiles. There are 6 data files. <a href="https://zenodo.org/api/files/0416f9bd-c908-4d3f-9368-47ca2e04d7bd/MLTOMCAT_1979_2020_72_ht_vmr.nc">MLTOMCAT_1979_2024_72_ht_vmr_V2.nc</a> contains ozone profiles on geometric height levels (1 to 60 km)  in mixing ratio units, whereas  <a href="https://zenodo.org/api/files/0416f9bd-c908-4d3f-9368-47ca2e04d7bd/MLTOMCAT_1979_2020_72_ht_vmr.nc">MLTOMCAT_1979_2024_72_ht_nd_V2.nc</a> contains ozone profile in number density units. Similarly,  <a href="https://zenodo.org/api/files/0416f9bd-c908-4d3f-9368-47ca2e04d7bd/MLTOMCAT_1979_2020_72_ht_vmr.nc">MLTOMCAT_1979_2024_72_plev_vmr_V2.nc</a> contains ozone profiles on 43 MLS pressure levels  (1000 to 0.1 hPa)  in mixing ratio units, whereas  <a href="https://zenodo.org/api/files/0416f9bd-c908-4d3f-9368-47ca2e04d7bd/MLTOMCAT_1979_2020_72_ht_vmr.nc">MLTOMCAT_1979_2024_72_plev_nd_V2.nc</a> contains ozone profile in number density units. Please note that data below 300 hPa (~8km) and 1 hPa (~50 km) should be used with caution. There are two straospheric column files ML-TOMCAT-SCO_120ppb_boundary_V2_197901-202412.nc and ML-TOMCAT-SCO_150ppb_boundary_V2_197901-202412.nc Stratospheric column files calculated using 120 ppb and 150 ppb as a chemical ozone boundaries. A manuscript describing MLTOMCAT would be published in EESD (Dhomse et al., 2021).

opencc-by-4.0Sep 2024View details →

Introduction to Ancient Metagenomics Textbook (Edition 2025): Taxonomic Profiling, OTU Tables, and Visualisation

Data and conda software environment file for the chapter 'Taxonomic Profiling, OTU Tables, and Visualisation' of the SPAAM Community's textbook: Introduction to Ancient Metagenomics (https://www.spaam-community.org/intro-to-ancient-metagenomics-book).

opencc-zeroOct 2023View details →

Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2023-08

PolarFront 2023-08 CTD profilesPressure, 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.Example final data `head -n3 stnr1085.xls`:<blockquote>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</blockquote> File typesEach station number has multiple data files from various steps of processing: `ls stnr1085*`: `stnr1085_bin.cnv stnr1085_bin.wmf stnr1085.bl stnr1085.btl stnr1085.btx stnr1085.cnv stnr1085.hdr stnr1085.hex stnr1085_RAW.cnv stnr1085.xls`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`<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>

opencc-by-4.0Nov 2023View details →

augMENTOR: Simulated Student Learning Profiles and their Engagement Metrics in TryHackMe Platform_V1

The dataset provides simulated insights into student engagement and performance within the THM platform. It outlines mathematical representations of student learning profiles, detailing behaviors ranging from high achievers to inconsistent performers. Additionally, the dataset includes key performance indicators, offering metrics like room completion, points earned, and time spent to gauge student progress and interaction within the platform's modules.Here are definitions of the learning profiles, along with mathematical representations of their behaviors:<ul><li>High Achiever: These are students who consistently perform well across all modules. Their performance can be described as a normal distribution centered at a high mean value. Their performance P in a given module can be modelled as: P = N(90, 5) where N is the normal distribution function, 90 is the mean, and 5 is the standard deviation.</li><li>Average Performer: These are students who typically perform at the average level across all modules. Their performance can be described as a normal distribution centered at a medium mean value: P = N(70, 10), where 70 is the mean, and 10 is the standard deviation.</li><li>Late Bloomer: These are students whose performance improves as they progress through the modules. Their performance can be modelled as: P = N(50 + i*10, 10), where i is the module index and shows an increasing trend.</li><li>Specialized Talent: These are students who have average performance in most modules but excel in a particular module (e.g., module5). Their performance can be described as: P = N(90, 5) if the module is module 5, else P = N(70, 10).</li><li>Inconsistent Performer: These are students whose performance varies significantly across modules. Their performance can be described as a normal distribution with a high standard deviation: P = N(70, 30), where 70 is the mean, and 30 is the high standard deviation, reflecting inconsistency.</li></ul>Note that the actual performances are bounded between 0 and 100 using the function max(0, min(100, performance)) to ensure valid percentages.In these formulas, the np.random.normal function is used to simulate the variability in student performance around the mean values. The first argument to this function is the mean, and the second argument is the standard deviation, reflecting the level of variability around the mean. The function returns a number drawn from the normal distribution described by these parameters. Note that the proposed method is experimental and has not been validated.  List of Key Performance Indicators (KPIs) for Student Engagement and Progress within the Platform:<ul><li>Room Name: This represents the unique identifier or name of a specific room (or module). Think of each room as a separate module or lesson within an educational platform. For example, Room1, Room2, etc.</li><li>Total rooms completed: Indicates the cumulative number of rooms that a student has fully completed. Completion is typically determined by meeting certain criteria, like answering all questions or achieving a certain score.</li><li>Rooms registered in: Represents the number of rooms a student has registered or enrolled in. This could be different from the total number of rooms they've completed.</li><li>Ratio of Questions completed per room: This gives an insight into a student's progress in a particular room. For instance, a ratio of 7/10 suggests the student has completed 7 out of 10 available questions in that room.</li><li>Room Completed (yes no): Indicates whether a student has fully completed a specific room or not. This could be determined by the percentage of material covered, questions answered, or a certain score achieved.</li><li>Room Last deploy (count of days): Refers to the number of days since the last update or deployment was made to that room. It can give an idea about the effort of the student.</li><li>Points in room used for the leaderboard (range 0-560): Each room assigns points based on student performance, and these points contribute to leaderboards. The range suggests that a student can earn anywhere from 0 to 560 points in a particular room.</li><li>Last answered question in a room (27th Jan 2023): This indicates the date when a student last answered a question in a specific room. It can provide insights into a student's recent activity and engagement.</li><li>Total points in all rooms (range 0-560): The cumulative score a student has achieved across all rooms.</li><li>Path Percentage completed (range 0-100): Indicates the percentage of the overall learning path that the student has completed. A path could consist of multiple modules or rooms.</li><li>Module Percentage completed (range 0-100): Represents how much of a specific module (which could have multiple lessons or topics) a student has completed.</li><li>Room Percentage completed (range 0-100): Shows the percentage of a specific room that has been completed by a student.</li><li>Time Spent on the platform (seconds): This provides an aggregate of the total time a student has spent on the entire educational platform.</li><li>Time spent on each room (seconds): Represents the amount of time a student has dedicated to a specific room. This can give insights into which rooms or modules are the most time-consuming or engaging for students.</li></ul>