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319 results for “Lunar”

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zenodo32/100

Oxide abundances on the lunar surface

<p>Abundance&nbsp;and&nbsp;distribution&nbsp;of&nbsp;oxide&nbsp;abundances&nbsp;and&nbsp;Mg#&nbsp;values&nbsp;generated&nbsp;from&nbsp;KAGUYA&nbsp;multiband&nbsp;imager&nbsp;(MI)&nbsp;spectra</p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

Oxide abundances on the lunar surface

<p>Abundance and distribution of oxide abundances and Mg# values generated from KAGUYA multiband imager (MI) spectra</p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

Dataset of "Impactor material records the ancient lunar magnetic field in antipodal anomalies"

<p>This dataset contains input files for iSALE-3D for the paper&nbsp;&quot;Impactor material records the ancient lunar magnetic field in antipodal anomalies&quot; by S. Wakita et al.<br> <br> Please note that usage of the iSALE-3D code is restricted to those who have contributed&nbsp;to the development of&nbsp;iSALE-2D,&nbsp;and iSALE-2D&nbsp;is&nbsp;distributed on a case-by-case basis to academic users in the impact community. It requires a registration from&nbsp;the&nbsp;iSALE webpage (http://www.isale-code.de), and usage of iSALE-2D and computational requirements are also shown there.&nbsp;Please also note that pySALEPlot in&nbsp;the current stable release of&nbsp;iSALE-2D (Dellen)&nbsp;would not work for the data from iSALE-3D.</p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

MUA PRR_lidar temperature profiles for atmospheric refraction correction in lunar laser ranging

<p>This PRR lidar temperature data are used for atmospheric refraction corrrection in millimeter-level precision lunar laser ranging.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Dataset for "Co-alignment of Laboratory and In-Situ Reflectance Spectra of Chang'e-5 Lunar Soil"

<p>This dataset&nbsp;provides&nbsp;the reflectance data measured in the laboratory for the &lt;45-&mu;m, 45-355-&mu;m fractions, and bulk soil sample, respectively.</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

Lunar Landing Missions: Lander Mass & Blast Zone Area

<p><strong>This page archives data used in the following article:</strong></p> <p><strong>Qiao, L., Hess, M., Xu, L., W&ouml;hler, C., Head, J. W., Chen, J., Wang, Y., Bugiolacchi, R., Xiao, A., Zhang, F., Ling, Z., 2023. Extensive lunar surface disturbance at the Chang&rsquo;e-5 mission landing site: Implications for future lunar base design and construction. <em>Journal of Geophysical Research: Planets</em>, 128, e2022JE007730. <a href="https://doi.org/10.1029/2022JE007730" target="_blank" rel="noopener">https://doi.org/10.1029/2022JE007730</a></strong></p> <p><strong>It contains lander dry mass and blast zone area values for Apollo, Luna, Surveyor, and Chang&rsquo;e missions, the data plotted in Figure 8 of the above article.</strong></p>

opencc-by-4.0Apr 2023View details →
ClinicalTrials.gov32/100

Evaluation of the ctDNA LUNAR Test in an Average Patient Screening Episode

ClinicalTrials.gov study NCT04136002. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Association of Lunar Phases With Post-surgical Morbidity

ClinicalTrials.gov study NCT00982683. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

177-Lutetium-PSMA Before Stereotactic Body Radiotherapy for the Treatment of Oligorecurrent Prostate Cancer, The LUNAR Study

ClinicalTrials.gov study NCT05496959. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Acoustic and electrical properties of Fe-Ti oxides with application to the deep lunar mantle

Open the record for dataset details and reuse information.

publicJan 2024View details →
dryad32/100

Data from: Seasonal temperature, the lunar cycle and diurnal rhythms interact in a combinatorial manner to modulate genomic responses to the environment in a reef-building coral

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publicJul 2019View details →
dryad32/100

Data from: Transcriptome dynamics over a lunar month in a broadcast spawning Acroporid coral

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publicJan 2017View details →
dryad32/100

Data from: Effects of sun angle, lunar illumination, and diurnal temperature on temporal movement rates of sympatric ocelots and bobcats in South Texas

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publicMar 2020View details →
dryad32/100

Data from: Singing in the moonlight: dawn song performance of a diurnal bird varies with lunar phase

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publicJan 2014View details →
dryad32/100

Data from: Impacts of temperature and lunar day on gene expression profiles during a monthly reproductive cycle in the brooding coral Pocillopora damicornis

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publicApr 2017View details →
dryad32/100

Data from: Does moonlight increase predation risk? Meta-analysis reveals divergent responses of nocturnal mammals to lunar cycles

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publicSep 2013View details →
dryad32/100

Data from: The diet of a nocturnal pelagic predator, the Bulwer’s petrel, across the lunar cycle

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publicApr 2018View details →
zenodo28/100

Is the lunar magnetic field correlated with gravity or topography?

<p>Supplementary data to the article</p> <p>&nbsp; &nbsp; Gong, S. and Wieczorek, M. (2020) Is the lunar magnetic field correlated<br> &nbsp; &nbsp; with gravity or topography? Journal of Geophysical Research: Planets.</p> <p>This archive contains the Bouguer gravity model used in the analyses of the<br> above cited manuscript, as well as the data files to reproduce Figures 2-3 and<br> Figures S1-S3. For the correlation results, the bandwidth and angular radius of<br> the window were 26 and 10 degrees, respectively, which yields a concentration<br> factor that is better than 99%.</p> <p><br> FILE DESCRIPTIONS</p> <p>34_12_3220_900_80_misfit.sh</p> <p>&nbsp; &nbsp; This file contains the spherical harmonic coefficients of the Bouguer<br> &nbsp; &nbsp; gravity model up to degree and order 900. The two values in the first<br> &nbsp; &nbsp; row correspond to the reference radius of the model in km and the<br> &nbsp; &nbsp; constant GM in km^3/s^-2. To generate this model, all known gravitational<br> &nbsp; &nbsp; contributions from the crust were removed from the free-air gravity,<br> &nbsp; &nbsp; including surface relief, lateral variations in crustal density, and<br> &nbsp; &nbsp; crustal thickness variations. The crustal thickness model is from<br> &nbsp; &nbsp; Wieczorek et al. (2013), which has an average thickness of 34 km, a<br> &nbsp; &nbsp; constant crustal porosity of 12%, and a mantle density of 3200 kg/m^3.</p> <p><br> mc_total_10_26_1_surface.dat</p> <p>&nbsp; &nbsp; Data used to generate the lower panel of Figure 2. This file contains the<br> &nbsp; &nbsp; 95% confidence limits of the average correlation from the Monte Carlo<br> &nbsp; &nbsp; simulations which were performed every 30 degrees in both longitude and<br> &nbsp; &nbsp; latitude. The first two columns correspond to the latitude and longitude,<br> &nbsp; &nbsp; and the third to fifth columns correspond to the 95% confidence limits by<br> &nbsp; &nbsp; using topography, total free-air gravity, and total Bouger gravity,<br> &nbsp; &nbsp; respectively.</p> <p><br> spec_10_26_1_surface.dat</p> <p>&nbsp; &nbsp; Data used to generate Figure 3. Correlation results between total magnetic<br> &nbsp; &nbsp; field and topography, total free-air gravity, and total Bouguer gravity at<br> &nbsp; &nbsp; the surface. The first two columns correspond to the latitude and longitude,<br> &nbsp; &nbsp; and the third to fifth columns correspond to the ratio between the average<br> &nbsp; &nbsp; correlation and its 95% confidence limits by using topography, total<br> &nbsp; &nbsp; free-air gravity, and total Bouger gravity, respectively. If the value is<br> &nbsp; &nbsp; equal to or greater than 1, this indicates that the total magnetic field is<br> &nbsp; &nbsp; positively correlated with the testing field (topography, total free-air<br> &nbsp; &nbsp; gravity, or total Bouguer gravity); If the value is equal to or less than<br> &nbsp; &nbsp; -1, this indicates that the total magnetic field is negatively correlated<br> &nbsp; &nbsp; with the testing field.</p> <p><br> spec_10_26_1_surface_4lwin.dat</p> <p>&nbsp; &nbsp; Data used to generate Figure S1. Correlation results calculated at the<br> &nbsp; &nbsp; surface by removing the first 4*lwin degrees.</p> <p><br> spec_10_26_1_30km.dat</p> <p>&nbsp; &nbsp; Data used to generate Figure S2. Correlation results calculated at 30 km<br> &nbsp; &nbsp; altitude.</p> <p><br> spec_10_26_1_surface_3sigma.dat</p> <p>&nbsp; &nbsp; Data used to generate Figure S3. Correlation results calculated at the<br> &nbsp; &nbsp; surface by using the 99% confidence limits.</p>

opencc-by-4.0Feb 2020View details →
zenodo28/100

Fig. 3 in Composition, density and biomass of fish community from the surf zone as a function of the lunar cycle at Miramar Beach in Cabedelo, Paraíba

Fig. 3. Redundancy analysis (RDA) for the density (ind. ha-1) of the most representative species in Miramar Beach, Cabedelo. (TEMP= temperature; SAL= salinity; TURB= surbidity; COND= conductivity e PH= hidrogen potential. (Atr = Anchoa tricolor; Acl = Anchovia clupeoides; Cla = Caranx latus; Csp = Cathorops spixii; Cno = Conodon nobilis; Pco = Haemulopsis corvinaeformis; Pvi = Polydactylus virginicus; Larbre = Larimus breviceps; Svo = Selene vomer; Sbr = Stellifer brasiliensis; Tfa = Trachinotus falcatus; Tgo = Trachinotus goodei). Lunar phase and sampling areas (CRA1 - crescent/ area 1; CRA2 -crescent/ area 2; NA1 -New/ area 1; NA2 -New / area 2; CHA1 - Full/ area 1; CHA2 -Full/ area 2; MA1 -Waning/ area 1; MA2 -Waning/ area 2).

opencc-by-4.0Jul 2019View details →
zenodo28/100

Fig. 2 in Composition, density and biomass of fish community from the surf zone as a function of the lunar cycle at Miramar Beach in Cabedelo, Paraíba

Fig. 2. Mean + Standard Error (SE) of number of species, total density (ind.ha-1) and biomass (g.ha-1) of fishes as a function of the lunar phases from left to right in the horizontal axes (crescent, full, weaning and new moon).

opencc-by-4.0Jul 2019View details →

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Allen Brain Atlas

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allen-brain-atlas
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Last verified 2026-04-30Open record

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DANDI Archive for NWB datasets

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Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record