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594 results for “Mission”
Monsoon Mission Coupled Forecast System Version 2.0: Model Description and Indian Monsoon Simulations Figures
<p>Monsoon Mission Coupled Forecast System Version 2.0: Model Description and Indian Monsoon Simulations Figures</p>
The winter subset of the Saildrone 2021-2022 Mission to the Gulf Stream used for the publication "The importance of contemporaneous measurements for regional air-sea CO2 flux estimates"
<p>Data from the Saildrone 2021-2022 observational mission to the Gulf Stream. These data are published to accompany the publication "The importance of contemporaneous measurements for regional air-sea CO<sub>2</sub> flux estimates." Included in this dataset are the primary and processed variables used throughout the paper. The data associated with each saildrone is named by the drone number. Additionally, included in the structure for each drone are the gas transfer velocities for each scenario, MBL atmospheric CO2 interpolated to the time and location of the drone, and ERA-5 wind speed, sea level pressure, significant wave height, and drag coefficient interpolated to the time and location of the drone. These variables are used to calculate CO<sub>2</sub> fluxes for each scenario and are named as follows: "F" + gas transfer velocity equation used (DM18 or W14) + drone ID + scenario. Scenario A-D correspond to those outlined in the paper. Scenarios E and F correspond to the calculation of air-sea fluxes using all saildrone observed variables except for atmospheric CO<sub>2</sub> (from MBL product) and significant wave height (from ERA-5), respectively. </p>
Replication Package for "Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis"
<h1>Replication Package for the Paper: “Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis”</h1> <p>This replication package includes the raw data, questionnaire answers, and a Python notebook needed for reproducing the results detailed in the paper titled “Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis.”</p> <h2><a></a>Repository Structure</h2> <ol> <li><strong>Scenarios:</strong> Contains an Excel file encompassing all 141 scenarios collected (in Italian).</li> <li><strong>Training and Validation Messages:</strong> Includes the jsonl files necessary for fine-tuning the model.</li> <li><strong>Testing Messages and Ground Truth:</strong> Contains the messages utilized for testing the models.</li> <li><strong>Results:</strong> Contains Excel files with the responses from the 2 human experts and the 5 model as well as the review of the 3 human reviewer.</li> <li><strong>Tables:</strong> Contains the full Wilcoxon Test Results for H01 and H02 as well as the raw RQs results.</li> </ol> <h2><a></a>Replication Process</h2> <p>To replicate the results of our study, open the provided Python Notebook in Google Colab and follow the instructions to seamlessly reproduce the results.</p> <h1><a></a>Instructions for Use</h1> <p>To utilize this replicability package, refer to the steps outlined in the notebook file.</p> <h1><a></a>Remarks</h1> <p>If you encounter any issues or have any questions, please reach out to the authors of the paper. We will be glad to assist you!</p>
Shuttle Radar Topography Mission digital elevation models, data points, radiocarbon dates, and geochemical data for the Rub' al Khali Desert
Open the record for dataset details and reuse information.
Analysis of Whistler-Mode and Z-Mode Emission in the Juno Primary Mission
<p>This is the supporting data set for the paper by the same title published in AGU JGR Space Physics, <a href="https://doi.org/10.1029/2021JA029885">10.1029/2021JA029885</a></p> <p><strong>Key Points:</strong></p> <ul> <li>Jovian whistler-mode chorus and Z-mode intensity distributions are surveyed and analyzed at the end of the Juno primary mission</li> <li>Bursty low frequency whistler mode emission implies electrons energies exceeding 100 keV</li> <li>Jovian whistler mode chorus and Z-mode intensity are parametrically fit to frequency, M-shell, and mag-latitude.</li> </ul> <p><strong>Abstract</strong></p> <p>At the end of the Juno primary mission we report observations of whistler mode chorus and Z-mode emission. The Juno orbits are evolving and much better coverage of the whistler mode chorus source region has resulted since the earlier surveys. Bursty chorus emission extending to ~30° latitude and to frequencies less than the lower hybrid frequency near the source region imply high electron energies (>100 keV). Average chorus intensity levels peak at ~10<sup>-3</sup> nT<sup>2</sup> near M-shell of 8-9 and magnetic latitude of ~5°. Z-mode emission is identified at higher latitudes generally near and inward of the Io torus with intensity levels as much as two orders of magnitude higher than Z-mode emissions observed at Saturn. Inferred source regions for the Z-mode are consistent with the inner edge of the Io torus and with auroral field lines that may also support Jovian kilometric and decametric emission. Parametric fitting functions are evaluated for both whistler mode chorus and Z-mode, describing wave intensity as a function of frequency, magnetic latitude, and M-shell. Both whistler mode and Z-mode waves may have significant impact on electron scattering and acceleration at Jupiter as recent models indicate.</p>
Aircraft profiles of stable isotope ratios in atmospheric total and condensed water from the NASA ORACLES mission.
<p>Aircraft in-situ measurements of water concentration and heavy water isotope ratios D/H and 18O/16O of cloud water and total water (water vapor plus condensed water) were collected during the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) project. Aircraft sampling took place in the southeast Atlantic marine boundary layer and lower troposphere (equator to 22 degrees south) over the months of Sept. 2016, Aug. 2017, and Oct. 2018. Isotope measurements were made using cavity ring-down spectroscopic analyzers integrated into the Water Isotope System for Precipitation and Entrainment Research (WISPER). The WISPER data are processed into mean latitude-altitude curtains and individual vertical profiles for each sampling period.</p> <p> </p> <p>The WISPER data accompanied a suite of other variables including standard meteorological quantities (wind, temperature, moisture), trace gas and aerosol concentrations, radar, and lidar remote sensing, which can be accessed through the DOIs listed further down. The ORACLES campaigns are described by Redemann et al., (2021). The water isotope measurements are further described in Henze et al., (2021). The absolute error with respect to the SMOW-SLAP scale is explained in detail by Henze et al., (2021).</p> <p> </p> <p>Total water concentration and isotope ratios were binned and averaged onto latitude-altitude grids using a kernel estimation approach, with weighting designed to estimate the mean during the approximate month-long duration of each sampling period. Standard deviations for each bin are also computed using kernel density estimation.</p> <p> </p> <p>Time intervals during aircraft vertical profiling are isolated and averaged onto 50-meter vertical levels. The files include water concentration and isotope ratios for both total water and cloud water in addition to temperature, pressure, latitude, and longitude.</p> <p> </p> <p>See included file README.txt for additional details.</p> <p> </p> <p>References</p> <p>---------------</p> <p>Henze, D., Noone, D., and Toohey, D.: Aircraft measurements of water vapor heavy isotope ratios in the marine boundary layer and lower troposphere during ORACLES, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-238, in review, 2021.</p> <p> </p> <p>Redemann, J., Wood, R., Zuidema, P., Doherty, S. J., Luna, B., LeBlanc, S. E., Diamond, M. S., Shinozuka, Y., Chang, I. Y., Ueyama, R., Pfister, L., Ryoo, J.-M., Dobracki, A. N., da Silva, A. M., Longo, K. M., Kacenelenbogen, M. S., Flynn, C. J., Pistone, K., Knox, N. M., Piketh, S. J., Haywood, J. M., Formenti, P., Mallet, M., Stier, P., Ackerman, A. S., Bauer, S. E., Fridlind, A. M., Carmichael, G. R., Saide, P. E., Ferrada, G. A., Howell, S. G., Freitag, S., Cairns, B., Holben, B. N., Knobelspiesse, K. D., Tanelli, S., L'Ecuyer, T. S., Dzambo, A. M., Sy, O. O., McFarquhar, G. M., Poellot, M. R., Gupta, S., O'Brien, J. R., Nenes, A., Kacarab, M., Wong, J. P. S., Small-Griswold, J. D., Thornhill, K. L., Noone, D., Podolske, J. R., Schmidt, K. S., Pilewskie, P., Chen, H., Cochrane, S. P., Sedlacek, A. J., Lang, T. J., Stith, E., Segal-Rozenhaimer, M., Ferrare, R. A., Burton, S. P., Hostetler, C. A., Diner, D. J., Seidel, F. C., Platnick, S. E., Myers, J. S., Meyer, K. G., Spangenberg, D. A., Maring, H., and Gao, L.: An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin, Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, 2021.</p> <p> </p> <p>The complete archive of ORACLES data are accessible via the digital object identifiers (DOIs) provided under ORACLES Science Team references as follows:</p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2018, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2018_V3, 2020a. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2017, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2017_V3, 2020b. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/P3/2016_V3, 2020c. </p> <p> </p> <p>ORACLES Science Team: Suite of Aerosol, Cloud, and Related Data Acquired Aboard ER2 During ORACLES 2016, Version 3, NASA Ames Earth Science Project Office, https://doi.org/10.5067/Suborbital/ORACLES/ER2/2016_V3, 2020d.</p>
Mission Red Filmed Reconstructed Pot
Mission Red Flimed pot excavated and reconstructed by City of St. Augustine archaeologists. To learn more about the City of St. Augustine Archaeology Program, visit: https://www.citystaug.com/Archaeology This model was created using RealityCapture software by Capturing Reality. Model by Emma Dietrich Source: Objaverse 1.0 / Sketchfab
Black Swift Technologies S0 Data from 24 March 2023 Data Collection Mission
<p>The file contains data from the whole flight on 24 March 2023. The part analyzed in the manuscript is near the end of the flight when the S0 was near 10 m altitude. </p> <p> </p> <p>File Contents Include: </p> <p>Format:<br> netcdf4<br>Global Attributes:<br> Conventions = 'CF-1.8, WMO-CF-1.0'<br> wmo__cf_profile = 'FM 303- draft'<br> featureType = 'trajectory'<br> platform_name = ''<br> flight_id = 'P3 Drop Test'<br>Dimensions:<br> obs = 15788<br>Variables:<br> lat <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: single<br> Attributes:<br> standard_name = 'latitude'<br> units = 'degrees_north'<br> axis = 'Y'<br> lon <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: single<br> Attributes:<br> standard_name = 'longitude'<br> units = 'degrees_east'<br> axis = 'X'<br> altitude <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'altitude'<br> units = 'km'<br> axis = 'Z'<br> positive = 'up'<br> long_name = 'altitude_above_sea_level'<br> time <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'time'<br> units = 'seconds since 2023-03-24T22:18:57Z'<br> axis = 'T'<br> calendar = 'standard'<br> temp <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'air_temperature'<br> units = 'K'<br> coordinates = 'lat lon altitude time'<br> dew_point <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'dew_point_temperature'<br> units = 'K'<br> coordinates = 'lat lon altitude time'<br> rel_hum <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'relative_humidity'<br> units = '1'<br> coordinates = 'lat lon altitude time'<br> air_press <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'air_pressure'<br> units = 'Pa'<br> coordinates = 'lat lon altitude time'<br> wind_speed<br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'wind_speed'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_dir <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'wind_from'<br> units = 'degree'<br> coordinates = 'lat lon altitude time'<br> wind_u <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'x_wind'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_v <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'y_wind'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_w <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'downward_air_velocity'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> tsurf <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'sea_surface_temperature'<br> units = 'degC'<br> coordinates = 'lat lon altitude time'<br> laseralt <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'laser_height'<br> units = 'm'<br> coordinates = 'lat lon altitude time'<br> long_name = 'laser_height_corrected_with_attitude'</p>
Dataset for replication of Randomly Sampling HP-Protein Conformations: Mission Impossible?
<p>This is the dataset used for our paper into the complexity of HP-model protein folding titled "Randomly Sampling HP-Protein Conformations: Mission Impossible?".</p>
Fig. 13 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 13 - Rivière de la Mort (site 1).
Fig. 18 in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 18 - Bord du lac de barrage. / Riva del lago di sbarramento. / Bank of barrage lac.
Fig. 16 - Site 4.3 in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 16 - Site 4.3 rivière Lémianga. / Fiume Lémianga. / Small river Lémianga.
Fig. 17 in Noteridae, Dytiscidae (Coleoptera) du Gabon (11ème partie). Parc National Monts Birougou (mission 2016)
Fig. 17 - Lac de barrage. / Lago di sbarramento. / Barrage lac.
Fig. 15 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 15 - Étang en savane (site 4).
El Sec shipwreck (Mallorca-Spain). 2021-2022 missions. Evidences of a Punic shipbuilding tradition in Classical period
<p>Comunicación sobre las campañas de excavación de El Sec (Calvià, Mallorca) de los años 2022 y 2023 en la s<span><span>esión ARQUEOLOGÍA SUBMARINA Y NAVEGACIÓN del X Congreso Internacional de Estudios Fenicios y Púnicos - Eivissa, 17-21 Octubre de 2022</span></span></p> <p><span><span>Organizan: Direcció General de Cultura del GOIB - Consell Insular d'Eivissa - MAEF. Session UNDERWATER ARCHEOLOGY AND NAVIGATION of the 10th International Congress of Phoenician and Punic Studies - Ibiza 2022. Organizers: Direcció General de Cultura del GOIB - Consell Insular d'Eivissa - MAEF. </span></span></p> <div></div> <div> <div> <div></div> </div> </div>
Fig. 12 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 12) Doline en savane.
Tables of Limb and Gravity-darkening Coefficients for the Space Mission GAIA
<p><br> File Summary:<br> --------------------------------------------------------------------------------<br> FileName Lrecl Records Explanations<br> --------------------------------------------------------------------------------</p> <p><br> TABLE1 76 574 u linear LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2,0 km/s for GAIA (LSM, FCM)</p> <p> TABLE2 76 1148 a, b quadratic LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2 km/s for GAIA (LSM, FCM) </p> <p> TABLE3 76 1148 c,d square-root LDCs <br> PHOENIX-COND models, all metallicities,<br> v.tu=2 km/s for GAIA (LSM, FCM) <br> </p> <p> TABLE4 76 1148 e,f logarithmic LDCs<br> PHOENIX-COND models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE5 49 2296 a_1,a_2,a_3,a_4 LDCs<br> PHOENIX-COND models, all metallicities, <br> v.tu=2 km/s for GAIA (LSM)</p> <p> TABLE6 76 9586 u linear LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE7 76 19172 a, b quadratic LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM) </p> <p> TABLE8 76 19172 c,d square-root LDCs <br> ATLAS models, all metallicities,<br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM) <br> </p> <p> TABLE9 76 19172 e,f logarithmic LDCs<br> ATLAS models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM, FCM)</p> <p> TABLE10 49 38344 a_1,a_2,a_3,a_4 LDCs<br> ATLAS models, all metallicities, <br> v.tu=2,0,1,4,8 km/s for GAIA (LSM)<br> <br> TABLE11 55 9575 y GDCs <br> ATLAS models, all metallicities,<br> v.tu=0,1,2,4,8 km/s for GAIA(BP,G,RP) <br> --------------------------------------------------------------------------------</p> <p> Byte-by-byte Description of files: TABLE 1<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- u linear LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- u linear LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- u linear LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- u linear LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- u linear LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- u linear LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 2<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- a quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- a quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- a quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- a quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- a quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- a quadratic LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- b quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- b quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- b quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- b quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- b quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- b quadratic LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 3<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- c root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- c root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- c root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- c root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- c root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- c root-square LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- d root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- d root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- d root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- d root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- d root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- d root-square LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 4<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- e logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- e logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- e logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- e logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- e logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- e logar LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- f logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- f logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- f logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- f logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- f logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- f logar LDC (GAIA RP, FCM)<br> -------------------------------------------------------------------------------- <br> <br> Byte-by-byte Description of files: TABLE 5<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a1 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a1 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a1 4 TERMS LDC (GAIA RP,LSM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a2 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a2 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a2 4 TERMS LDC (GAIA RP,LSM)<br> THIRD LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a3 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a3 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a3 4 TERMS LDC (GAIA RP,LSM)<br> FOURTH LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a4 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a4 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a4 4 TERMS LDC (GAIA RP,LSM)<br> --------------------------------------------------------------------------------</p> <p> Byte-by-byte Description of files: TABLE 6<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- u linear LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- u linear LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- u linear LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- u linear LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- u linear LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- u linear LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 7<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- a quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- a quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- a quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- a quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- a quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- a quadratic LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- b quadratic LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- b quadratic LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- b quadratic LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- b quadratic LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- b quadratic LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- b quadratic LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 8<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- c root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- c root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- c root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- c root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- c root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- c root-square LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- d root-square LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- d root-square LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- d root-square LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- d root-square LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- d root-square LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- d root-square LDC (GAIA RP, FCM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 9<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- e logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- e logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- e logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- e logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- e logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- e logar LDC (GAIA RP, FCM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 25- 31 F7.4 --- f logar LDC (GAIA BP, LSM)<br> 34- 40 F7.4 --- f logar LDC (GAIA G, LSM)<br> 43- 49 F7.4 --- f logar LDC (GAIA RP, LSM)<br> 52- 58 F7.4 --- f logar LDC (GAIA BP, FCM)<br> 61- 67 F7.4 --- f logar LDC (GAIA G, FCM)<br> 70- 76 F7.4 --- f logar LDC (GAIA RP, FCM)<br> -------------------------------------------------------------------------------- <br> <br> Byte-by-byte Description of files: TABLE 10<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> FIRST LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a1 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a1 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a1 4 TERMS LDC (GAIA RP,LSM)<br> SECOND LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a2 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a2 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a2 4 TERMS LDC (GAIA RP,LSM)<br> THIRD LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a3 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a3 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a3 4 TERMS LDC (GAIA RP,LSM)<br> FOURTH LINE<br> 1- 5 F5.2 cm/s+2 logg Surface gravity<br> 7- 12 F6.0 K Teff Effective temperature<br> 14- 17 F4.1 Z log [metal/H]<br> 19- 22 F4.1 km/s Vel microturbulent velocity<br> 24- 31 F8.4 --- a4 4 TERMS LDC (GAIA BP,LSM)<br> 34- 40 F7.4 --- a4 4 TERMS LDC (GAIA G,LSM)<br> 43- 49 F7.4 --- a4 4 TERMS LDC (GAIA RP,LSM)<br> --------------------------------------------------------------------------------</p> <p>Byte-by-byte Description of files: TABLE 11<br> --------------------------------------------------------------------------------<br> Bytes Format Units Label Explanations<br> --------------------------------------------------------------------------------<br> 2-6 F5.2 Z log [metal/H]<br> 8-13 F6.3 km/s Vel microturbulent velocity<br> 16-20 F5.2 cm/s+2 logg Surface gravity<br> 22-27 F6.3 K log Teff log Effective temperature<br> 31-37 F7.4 --- y GDC (GAIA, BP)<br> 40-46 F7.4 --- y GDC (GAIA, B)<br> 49-55 F7.4 --- y GDC (GAIA, RP)<br> --------------------------------------------------------------------------------</p>
Demo of Spatial Audification in OpenSpace: MMS Mission
<p><strong>This is an audio demo; listen with headphones.</strong> The audio begins around the 0:55 mark.</p> <p>In <a href="https://doi.org/10.5281/zenodo.11194309" target="_blank" rel="noopener">Collins et al 2024</a>, we demonstrated a spatial audification of data from NASA's Magnetospheric Multiscale (MMS) mission produced with open-source tools in Python. In that demo, however, the sound sources for each satellite are placed in a static and representative position. Here, we use <a href="https://www.openspaceproject.com/">OpenSpace</a> to associate each audio stream with its respective spacecraft, so that the audification may be experienced with spatial fidelity on a flexible timescale.</p> <p>This proof-of-concept uses the <a href="https://opensoundcontrol.stanford.edu/spec-1_0.html#introduction">Open Sound Control protocol</a> to send positional data of the sound sources from OpenSpace to <a href="https://doc.sccode.org/">SuperCollider</a>, a method also used in <a href="https://icad2024.icad.org/wp-content/uploads/2024/06/ICAD_2024_paper_6.pdf">Elmquist et al 2024</a>. </p>
Results of the SMS Survey on soil stakeholder interests related to the EU Soil Mission objectives
<p>Soil Mission Support results of the online survey on soil stakeholder interests related to the EU Soil Mission objectives</p> <p>The processed survey results can be found in SMS D3.4 "Report on prioritization of actor needs and criteria for living lab and lighthouse identification" (https://zenodo.org/record/7695582#.ZAdE-NXMI2w)</p>
Data supplement to "Overview of the Demonstration and Science Experiments (DSX) mission"
<p>Additional data supporting "Overview of the Demonstration and Science Experiments (DSX) mission", manuscript accepted to Journal of Geophysical Research.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.