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Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis

Word tree gap

Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis

Word tree rights

Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis

Empirical conceptual map

Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis

Theoretical concept map

SWOT 2019-2020 Prelaunch Oceanography Field Campaign Rutgers Slocum Gliders

This dataset provides the Conductivity, Temperature, and Depth measurements carried by a Slocum glider. The measurements were collected during the 2019-2020 SWOT prelaunch field campaign conducted near the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. It has 883 CTD profiles with glider diving depths varying between 500 m and 1000 m. Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign WHOI/NOAA Moored Fixed-Depth CTDs

This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs cover the full depth from the ocean surface to the bottom. The surface buoy is equipped with a Global Positioning System (GPS) https://doi.org/10.5067/SWTPR-GPS01. There is also an adjacent bottom pressure recorder https://doi.org/10.5067/SWTPR-BPR01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Prawlers

This dataset provides the conductivity, temperature and depth (CTD) profiles from a Prawler profiler mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Pressure-sensing Inverted Echo Sounder (PIES)

This dataset provides the in-situ measurements from a Pressure-sensing Inverted Echo Sounder (PIES) deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed three CTD moorings, a slocum glider, and another bottom pressure recorder. The PIES measurements include bottom pressure and the round-trip travel time from the IES, which can be used to derive equivalent steric height through regression. Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign JPL Global Positioning Systems (GPS)

This dataset provides the 1Hz time series of the sea surface height measured by a surface buoy equipped with a Global Position System (GPS). The GPS-mooring was deployed by the SWOT prelaunch field campaign conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The GPS measurements represent the total sea surface height including the Inverted barometer component. The same mooring also carries fixed-depth CTD sensors https://doi.org/10.5067/SWTPR-CTD11. They were used together with atmospheric pressure and bottom pressure measurements to close the sea surface equation (Wang et al., 2022). The campaign also deployed another two CTD moorings, a slocum glider, and a Pressure Inverted Echo Sounder (PIES). Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Bottom Pressure Recorders (BPR)

This dataset provides the bottom pressure measurements collected during the 2019-2020 SWOT prelaunch field campaign conducted around the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. The Paroscientiﬁc Digiquartz pressure sensor was used. The data are recorded on a 15-second interval.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Mooring WireWalker (WW)

This dataset provides the conductivity, temperature and depth (CTD) measurements from the CTD sensors on a WireWalker profiler on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The WW samples the upper 500 m of the water column, while the deep ocean below 500 m are measured by fixed-depth CTDs https://doi.org/10.5067/SWTPR-CTD01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.

SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Moored Fixed-Depth CTDs

This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs are below 500 m while the upper part of the mooring has a WireWalker (WW) profiler. The CTD data from WW is available here https://doi.org/10.5067/SWTPR-WW001. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.

opencc-by-4.0Nov 2021View details →

zenodo28/100

Outcome of the 3 SWOT Analyses held by the ReMO COST Action between 24th November and 2nd December 2020

These documents are the result of a series of three online workshops held by the Researcher Mental Health (ReMO) COST Action that focussed on the specific impact priorities of each of ReMO's three Working Groups: <ul> <li> Working Group 1: System level - the ERA working environment </li> <li> Working Group 2: Institutional level - Wellbeing Practices in Research Institutions </li> <li> Working Group 3: Local actors - Promoting researcher well-being on a practical level  </li> </ul> These 90 minutes long workshops developed SWOT analyses through engaging the ReMO community. In these workshops the following procedure was executed: <ul> <li> Working groups were provided with empty SWOT matrices.  </li> <li> Participants were randomly assigned to small parallel discussion groups. In four discussion rounds (one for each topic: Strength, Weaknesses, Opportunities and Threats, each of them 15 mins long) participants populated their matrix.  </li> <li> Subsequently, through a plenary discussion the ideas recorded in the matrix were discussed, duplications and similar items were merged.  </li> <li> As a result, the three SWOT matrices for the three working groups were finalized and synthesized to a project level SWOT matrix. </li> </ul> The process aimed to distill a number of key themes and actions, which are critical for developing a model of doctoral education and more general research culture embracing researcher mental health as a key priority. This process led to the publication of the <a href="https://zenodo.org/record/5559806">Researcher Mental Health and Well-being Manifesto</a>. The audience’s responses were anonymous, and they were recorded in a padlet, whose contents are available here.

zenodo28/100

SWOT ANALYSIS AS AN EFFECTIVE TOOL IN THE ASSESSMENT OF SCHOOL MANAGEMENT ACTIONS

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opencc-by-4.0May 2024View details →

zenodo28/100

KREATIV DIZAYN FANINI O'QITISHDA SWOT-TAHLIL USULINI QO'LLASH

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opencc-by-4.0Jun 2024View details →

SWOT Simulated Level-2 KaRIn SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1

This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) SSH data from KaRIn. The simulated data were generated by the "ECCO LLC4320" global ocean simulation. ECCO, which means "Estimating the Circulation and Climate of the Ocean", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.

SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms

The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days. This collection is the parent collection to the following sub-collections: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SSHA_2.0 https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_GDR_2.0 https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SGDR_2.0

SWOT Simulated Level-2 Nadir SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1

This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data stream from the Poseidon 3C nadir altimeter. The simulated data were generated by the "ECCO LLC4320" global ocean simulation. ECCO, which means "Estimating the Circulation and Climate of the Ocean", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.

SWOT Simulated Level-2 KaRIn SSH from GLORYS for Science Version 1

This dataset provides simulated sea surface height data product that resembles data which will be collected by KaRIn. Swaths span 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. SSH data produced by GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.

Bass Strait Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Bass Strait region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.