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opencc-zeroApr 2024View details →

Wallops SuperDARN data in netCDF format (2024-Mar)

2024-Mar Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (<a href="http://vt.superdarn.org/tiki-index.php?page=Radar+Overview">SuperDARN Radar Overview</a>)Recommended form of acknowledgement for the use of SuperDARN data:'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

opencc-by-4.0Jan 2019View details →

Antarctic surface mass balance with the regional climate model MAR (1979–2015)

Outputs of the regional climate model MAR v3.6.41 for Antarctica, resolution 35km + source code =========================================== Cécile Agosta, 23 Jan 2019  cecile.agosta@gmail.com =========================================== Grid specifications are given in MAR-ant35km-grid.nc (projection : EPSG 3031). * State variables are averages of daily means:     TT > temperature (°C)     ZZ > height above sea level (m)     UU, VV > x-wind and y-wind in the stereographic grid (m s-1)     UV > wind speed (m s-1) State variables ending with z (e.g. UUz) are interpolated on fixed altitude levels above the ground. State variables ending with p (e.g. UUp) are interpolated on fixed pressure levels. * SMB components are summed: kg m-2 month-1 for montly files, kg m-2 year-1 for annual files, kg m-2 year-1 for clim files     snf > snowfall     rnf > rainfall     rof > run-off     sbl > sublimation/condensation     smb = snf + rnf - sbl - rof     mlt > snowmelt     rfz > refreezing If you use this data, please cite the final accepted version of this article: Agosta C., Amory C., Kittel C., Orsi A., Favier V., Gallée H., van den Broeke M.R., Lenaerts J.T., van Wessem J.M., & Fettweis X. (in review, 2018). Estimation of the Antarctic surface mass balance using MAR (1979-2015) and identification of dominant processes. The Cryosphere Discussions, 1–22, <a href="https://doi.org/10.5194/tc-2018-76">doi:10.5194/tc-2018-76</a>. Please contact me if you need other outputs (variables/daily or hourly time steps)

opencc-by-4.0Jul 2019View details →

Supporting Information for "Geochemistry constrains global hydrology on Early Mars"

Copy of the Supporting Information for "Geochemistry constrains global hydrology on Early Mars", by Edwin S. Kite and Mohit Melwani Daswani.

opencc-by-4.0Dec 2015View details →

Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011). in Feather Palm Foliage From The Messinian Of Italy (Capo Di Fiume, Palena And Pollenzo Near Alba) Within The Framework Of Northern Mediterranean Late Miocene Flora

Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011).

Fig 2. Pachycheles laevidactylus Ortmann, 1892 in Hábitat y historia de vida de Pachychelles laevidactylus (Crustacea, Anomura, Porcellanidae) en el intermareal rocoso de Mar del Plata, Argentina

Fig 2. Pachycheles laevidactylus Ortmann, 1892: distribuciÓn de frecuencia de tallas de hembras (A) y machos (B) en los estratos 3 a 5. Las lÍneas verticales representan las medias de las modas calculadas.

Fig 1 in Hábitat y historia de vida de Pachychelles laevidactylus (Crustacea, Anomura, Porcellanidae) en el intermareal rocoso de Mar del Plata, Argentina

Fig 1. Tiempo de inmersión (%, cuadrados grises) para cada uno de los estratos y largo de la valva del mitÍlido Brachidontes rodriguezii (mm, cÍrculos negros). Los cuadrados indican el promedio y las lÍneas verticales el desvÍo estÁndar.

Fig 5 in Hábitat y historia de vida de Pachychelles laevidactylus (Crustacea, Anomura, Porcellanidae) en el intermareal rocoso de Mar del Plata, Argentina

Fig 5. Crecimiento relativo del ancho del segmento mayor del pleon (AS>) con el ancho de caparazÓn (AC) en la fase inmadura y madura de Pachycheles laevidactylus Ortmann, 1892. La flecha indica la estimaciÓn de la talla de madurez morfométrica mediante el método de Somerton.

Fig 4 in Hábitat y historia de vida de Pachychelles laevidactylus (Crustacea, Anomura, Porcellanidae) en el intermareal rocoso de Mar del Plata, Argentina

Fig 4. RelaciÓn del ancho de caparazÓn (AC) con respecto al segmento mayor del pleon (AS>) para ambos seXos (A), y su relaciÓn con el largo de la quela (LQ) mayor y menor para machos (B) y para hembras (C) de Pachycheles laevidactylus Ortmann, 1892.

Fig 3 in Hábitat y historia de vida de Pachychelles laevidactylus (Crustacea, Anomura, Porcellanidae) en el intermareal rocoso de Mar del Plata, Argentina

Fig 3. Densidad (individuos * 100 cm-2) de hembras (A) y machos (B) de Pachycheles laevidactylus Ortmann, 1892 en los estratos 3, 4 y 5, correspondiente al periodo de estudio. Los cuadrados indican el promedio y las lÍneas verticales el desvÍo estÁndar.

opencc-by-4.0Aug 2024View details →

Repository: Potential for Photosynthesis on Mars within snow and ice

This repository contains: 1. Modeled Spectral Irradiances (W m-2 micron-1) within Vertically Inhomogeneous Glacier Ice from Khuller, Warren, Christensen & Clow (2024) a) Fig_1_12cm_model: Modeled Spectral Irradiance at 12 cm  b) Fig_1_36cm_model: Modeled Spectral Irradiance at 36 cm  c) Fig_1_58cm_model: Modeled Spectral Irradiance at 58 cm  d) Fig_1_77cm_model: Modeled Spectral Irradiance at 77 cm  2. Modeled Spectral Actinic Flux (W m-2 micron-1) from Khuller, Warren, Christensen & Clow (2024) a) Clean Snow/Firn/Ice (without dust) at 33 S latitude     i) Fig_2a: Pure snow with 0.5 mm grain size     ii) Fig_2b: Pure firn with 2.5 mm grain size     iii) Fig_2c: Pure glacier ice with 14 mm grain size b) Clean Snow/Firn/Ice (without dust) at 54 N latitude     i) Ext_Fig_2a: Pure snow with 0.5 mm grain size     ii) Ext_Fig_2b: Pure firn with 2.5 mm grain size     iii) Ext_Fig_2c: Pure glacier ice with 14 mm grain size     c) Dusty Snow/Firn/Ice (with 0.01% dust by mass) at 33 S latitude     i) Fig_2d: Dusty snow with 0.5 mm grain size     ii) Fig_2e: Dusty firn with 2.5 mm grain size     iii) Fig_2f: Dusty glacier ice with 14 mm grain size d) Dusty Snow/Firn/Ice (with 0.01% dust by mass) at 54 N latitude     i) Ext_Fig_2d: Dusty snow with 0.5 mm grain size     ii) Ext_Fig_2e: Dusty firn with 2.5 mm grain size     iii) Ext_Fig_2f: Dusty glacier ice with 14 mm grain size e) Dusty Snow/Firn/Ice (with 0.1% dust by mass) at 33 S latitude     i) Fig_2g: Dusty snow with 0.5 mm grain size     ii) Fig_2h: Dusty firn with 2.5 mm grain size     iii) Fig_2i: Dusty glacier ice with 14 mm grain size f) Dusty Snow/Firn/Ice (with 0.1% dust by mass) at 54 N latitude     i) Ext_Fig_2g: Dusty snow with 0.5 mm grain size     ii) Ext_Fig_2h: Dusty firn with 2.5 mm grain size     iii) Ext_Fig_2i: Dusty glacier ice with 14 mm grain size     3. Modeled Depths for DNA Damage Limit, PAR Upper Limit, and PAR Lower Limit (meters) from Khuller, Warren, Christensen & Clow (2024) a) Sensitivity to dust content FILE FORMAT: Dust Content (ppmw), DNA Damage Limit Depth (m), PAR Lower Limit Depth (m), PAR Upper Limit Depth (m)     i) final_Depths_south_dust_sensitivity:  sensitivity to dust content for the martian southern hemisphere     ii) final_Depths_north_dust_sensitivity: sensitivity to dust content for the martian northern hemisphere b) Sensitivity to ice grain radius FILE FORMAT: Ice Grain Radius (micron), DNA Damage Limit Depth (m), PAR Lower Limit Depth (m), PAR Upper Limit Depth (m)     i) final_Depths_south_radius_sensitivity:  sensitivity to ice grain radius for the martian southern hemisphere     ii) final_Depths_north_radius_sensitivity: sensitivity to ice grain radius for the martian northern hemisphere c) Sensitivity to latitude FILE FORMAT: Latitude (degrees), DNA Damage Limit Depth (m), PAR Lower Limit Depth (m), PAR Upper Limit Depth (m)     i) final_Depths_south_latitude_sensitivity:  sensitivity to latitude for the martian southern hemisphere     ii) final_Depths_north_latitude_sensitivity: sensitivity to latitude for the martian northern hemisphere d) Sensitivity to solar zenith angle FILE FORMAT: Solar Zenith Angle (degrees), DNA Damage Limit Depth (m), PAR Lower Limit Depth (m), PAR Upper Limit Depth (m)     i) final_Depths_south_zenith_sensitivity:  sensitivity to solar zenith angle for the martian southern hemisphere     ii) final_Depths_north_zenith_sensitivity: sensitivity to solar zenith angle for the martian northern hemisphere 4. Wavelengths used for files listed in 1 from Khuller, Warren, Christensen & Clow (2024) wavelengths_greenland: wavelength in microns 5. Wavelengths used for files listed in 2 and 3 from Khuller, Warren, Christensen & Clow (2024) wavelengths: wavelength in microns 6. Depths used for files listed in 2 from Khuller, Warren, Christensen & Clow (2024) depths: depths in meters 7. Normalized DNA spectrum used in Khuller, Warren, Christensen & Clow (2024) norm_dna_spectrum: normalized DNA spectrum

Fig. 7. A and B in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 7. A and B: Batch fecundity as a function of total weight (without ovary) and total length, respectively. C and D: Relative fecundity as a function of total weight (without ovary) and total length respectively.

Fig. 4 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 4. Monthly relative frequency of the different gonadal development stages observed in females of Brevoortia aurea on the annual cycle, and the added samples of October and November for the Mar Chiquita coastal lagoon.

Fig. 8 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 8. Proportion of mature individuals observed for each length classes of Brevoortia aurea. Females (black circles, dotted line) L 50 = 27.77 cm, N = 588. Males (white circles, solid line) L 50 = 26.59 cm, N = 293.

Fig. 2 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 2. Captures per unite effort (CPUE kg/h), temperature (°C) and salinity (psu) obtained for Brevoortia aurea during sampled period in Mar Chiquita Coastal Lagoon.

Fig. 5. A in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 5. A: oogonias (arrow) and primary growth (p) oocytes; B: cortical alveoli stage oocyte (arrow); C: yolked oocytes; D: hydrated oocytes (arrow); E: details of a yolked oocyte (r: radiata zone; g: granulosa cells; t: teca cells); F: atresic follicle (arrow); G: post-ovulatory follicle "0" (arrow); H: post-ovulatory follicle "1" (arrow). Scale bars: A, E 25 μm; B, C, F, G, H, 100 μm; D, 250 μm.

Fig. 3 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 3. Monthly variation of the gonadosomatic index (GSI) (females only), based on an annual cycle.

Fig. 6 in Reproduction of Brevoortia aurea (Spix & Agassiz, 1829) (Actinopterygii: Clupeidae) in the Mar Chiquita Coastal Lagoon, Buenos Aires, Argentina

Fig. 6. Frequency distribution of oocyte diameters (N = 6000 oocytes measured). From black bars to white bars: Primary growth oocyte, cortical alveoli, yolked oocytes and hydrated oocytes.

opencc-by-4.0Aug 2024View details →

Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations

This dataset contains NetCDF files necessary to replicate results from the 2024 paper "Impact of Grid Resolution on Wave-mean Flow Interactions with High Resolution Mars Global Climate Model Simulations" The dataset contains NetCDF files with 1 year of zonally-averaged NASA Ames Mars Global Climate Model (MGCM) fields with 5-sol binning for each of the simulations presented in the paper:  <ul> <li>a "low-resolution" simulation with no parameterization for gravity waves</li> <li>a "high-resolution" simulation with no parameterization for gravity waves</li> <li>a "low-resolution" simulation with parameterizations for orographic and non-orographic gravity waves</li> </ul> Also included are: <ul> <li>a file describing the coordinates for the MGCM's vertical grids used in the study </li> <li> atmospheric fields not provided in the other NetCDF files and necessary to replicate figures 3 and supplemental figure FS2 from the paper.</li> <li>a README.txt detailing the content of each file in the dataset</li> </ul>

opencc-by-4.0Sep 2024View details →

Data for Glacial isostatic adjustment reveals Mars' interior viscosity structure

Present-day Martian interior models used in Broquet et al. (2024). All models use the following naming convention: Profile_NorthPole_Mars-TAYAK-dc-rho_south[-rho_north], where dc is the crustal thickness at the InSight landing site in km, rho_north and rho_south are the bulk density of the northern and southern hemisphere crust in g cm^-3. If added, XGRS provides the crustal heat producing element enrichment factor (X) with respect to the nominal Gamma Ray measured average of 49 pW kg^-1.  Files with _60deg provide quantities averaged over the northern regions (>60°N) and _AVG give averages for the whole planet. Models with case numbers are from Plesa et al. (2018) [https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018GL080728].  Data Columns: ------------------------------ Column 1: Radius [m] Column 2: Temperature [K] Column 3: Viscosity [Pa s] Column 4: Shear Velocity [m/s] Column 5: Density [kg/m3] Column 6: Shear Modulus [Pa]