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462 results for “moon”
Table 6 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p>Summary Excel tables for the study: <i>"Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". </i>Results of the first hypothesis, for both the sample of 200 and the 63 earthquakes that occurred after 1988, for Section 3.1.</p>
Table 7 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p>Summary graphs for the study: <i>"Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". </i>Data distributions of the Hypothesis 2, with the R² regression coefficients of the three σFR values and indices (parameters A, B and % Alert Time) of both the 200 earthquakes and the 63 earthquakes after 1988, for Section 3.2.1.</p><p>The R² regression coefficients of each curve are calculated in the Excel files on the 2 Drives: </p><p>https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing, for the 200 earthquakes.</p><p>https://docs.google.com/spreadsheets/d/1Pyd4wZxZrq6G76nM2SwHYBBjbPZz7uM8GeO7PXG7obU/edit?usp=sharing, for the 63 earthquakes after 1988.</p>
Table 9 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Overview of the 200 analyzed earthquakes encompassing values and indices for σFR Parameters A, B, and the percentile of Alert Time across the three Analysis Lines, for Section 3.2.6.</strong></p><p>It contains 1 Excel calculation file, consisting of 3 excel sheet for each of the 3 lines of analysis, for both the 200 earthquakes since 1600 and for the 63 earthquakes that occurred after 1988.</p>
Supporting data for 'Mechanical properties of the rocky interiors of icy moons' [DATASET]
<p>Supporting data for '<i>Mechanical properties of the rocky interiors of icy moons'</i>. </p><p>mechdata_6tests contains all data used for mechanical and elastic characteristics (Figure 1). </p><p>AEdata_7tests contains all data used for determining power from acoustic emissions released during deformation (Figure 2). pdata fields correspond to mechanical data - pstress, pstrain. </p><p>wavespeeddata_chondrite contains all data used for elastic wavespeeds during pressurization and depressurization (Figure 3). The AE_CAT_stack variable contains mechanical data, corresponding to columns in header variable. R_stack has stacked, smoothed waveforms. arrtime_afterpulse contains picked arrival times. </p>
Predation of mesopelagic fish on tuna eggs and larvae: fitness benefits of synchronizing spawning with the moon
<p>This repository contains all data and R code used in the research article "Model of mesopelagic fish predation on eggs and larvae shows benefits of tuna spawning under full moon" - https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lno.12465</p><p>Data and code are originally structured in folders and can be found in GitHub - https://github.com/dottmann/moon_light</p>
Geo-stratigraphic map of Tsiolkovskiy crater (Moon, Far side)
<p>Geo-stratigraphic map of the lunar far side Tsiolkovskiy crater: GIS project and map sheet.</p>
XPM-098 Moon-shaped Stone, Sapsuk River, AK
Polished moon shaped stone from XPM-098 Trench 2 Unit 1 Level 8, catalog number 470. SRO8-01-T2-U1-L8 Sapsuk River, Nelson Lagoon area, Alaska Peninsula, Alaska. Several salmon fishing sites. Early period dating 3200-2100 BCE, and a later occupation 100 BCE to 500 CE. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing completed at Global Digital Heritage. Maschner, H. et al. 2010. The Archaeology of the Sapsuk River, Alaska. An Occasional Papers Publication. Bureau of Indian Affairs, Alaska Region, Branch of Regional Archaeology, Anchorage. Source: Objaverse 1.0 / Sketchfab
Moon City
A small city inside the moon. Source: Objaverse 1.0 / Sketchfab
Moon kiosk - Bruxelles
Source: Objaverse 1.0 / Sketchfab
Mapping of Plains Terrains in the Moon's South Polar Region
<p><strong>This page archives data used in the following article:</strong></p> <p><strong>Qiao, L., Xu, L., Head, J. W., Chen, J., Zhang, Y., Li, B., Ling, Z., 2024. Geological evidence for extensive basin ejecta as plains terrains in the Moon’s south polar region. <em>Nature Communications</em>, 15, 5783. <a href="https://doi.org/10.1038/s41467-024-50155-w" target="_blank" rel="noopener">https://doi.org/10.1038/s41467-024-50155-w</a></strong></p> <p><strong>It contains ArcGIS shapefiles for the mapping of plains terrains in lunar south polar region (PolarPlains_Mapping.7z).</strong></p>
Supporting material for Petricca et al. (2024), "Gravity and Radio Science Investigation at the Moons of Uranus to Reveal Subsurface Oceans and Characterize Interior Structures", JGR: Planets
<p>This archive contains the supplementary material for the paper "Gravity and Radio Science Investigation at the Moons of Uranus to Reveal Subsurface Oceans and Characterize Interior Structures", JGR: Planets</p> <p>Content of the dataset:</p> <ol> <li>Synthetic gravity fields for Ariel and Titania generated in the study</li> <li>SPICE kernels of the trajectory of the Uranus Orbiter and Probe designed at JPL</li> </ol> <p> </p> <p>---------------------------------------------------------------</p> <p>Synthetic gravity fields</p> <p>---------------------------------------------------------------</p> <p>The gravity fields are generated following the procedures described in Section 2.1.2 of the main paper. The hydrosphere thickness is assumed to be 190 km and 220 km for Ariel and Titania, respectively. The ocean density is fixed at 1050 kg/m^3. The syntethic topography is generated with pyshtools (Wieczorek and Meschede, 2018). The label of the file indicates the amplitude of the topography of each interface (ice shell or ocean floor) and the maximum degree of the spherical harmonics expansion. The files are formatted according to the Spherical Harmonics ASCII Data Record (SHADR) standard.</p> <p>The header of each file contains: reference radius (km), GM (km^3 / s^2), uncertatinty in the GM (not used and set to zero), maximum degree <em>l </em>of the<em> </em>expansion, maximum order<em> m </em>of the expansion, normalization (0 for unnormalized, 1 for 4pi normalization), reference latitude, reference longitude</p> <p>The columns contain: degree <em>l</em>, order <em>m</em>, coefficient C_<em>lm</em>, coefficient S_<em>lm</em></p> <p>---------------------------------------------------------------</p> <p>UOP trajectories</p> <p>---------------------------------------------------------------</p> <p>The reference positions and velocities of the UOP were generated by Damon Landau (JPL) as part of an internal study at JPL. These initial positions and velocities were numerically integrated by Flavio Petricca (JPL) using the dynamical models described in the main paper. For this reason, the trajectories only cover +- 8 hours from closest approach with each moon and not the entire tour.</p> <p>The ID of the spacecraft is set to -999. The simple text kernel provided here (id_name_map.txt) can be loaded in the kernel pool to associate the ID code with the SPICE names 'URANUS ORBITER PROBE' and 'UOP' for a more explicit and user-friendly access to the trajectories.</p>
Chemical compositions data for "Space weathering of the Chang'e-5 lunar sample from a mid-high latitude region on the Moon"
<p>Data for “Space weathering of the Chang’e-5 lunar sample from a mid-high latitude region on the Moon”</p>
Data from: The rising moon promotes mate finding in moths
<p><span>To counteract insect decline, it is essential to understand the underlying causes, especially for key pollinators such as nocturnal moths whose ability to orientate can easily be influenced by ambient light conditions. These comprise natural light sources as well as artificial light, but their specific relevance for moth orientation is still unknown. We investigated the influence of moonlight on the reproductive behavior of privet hawkmoths (<em>Sphinx ligustri</em>) at a relatively dark site where the Milky Way was visible while the horizon was illuminated by distant light sources and skyglow. We show that male moths use the moon for orientation and reach females significantly faster with increasing moon elevation. Furthermore, the choice of flight direction depended on the cardinal position of the moon but not on the illumination of the horizon caused by artificial light, indicating that the moon plays a key role in the orientation of male moths.</span></p>
On following pages: 185. Etruscan Shrew (Suncus etruscus); 186. Sri Lankan Shrew (Suncus fellowesgordoni); 187. (Suncus zeylanicus); 190. Asian House Shrew (Suncus murinus); 191. Sri Lankan Highland Shrew (Suncus montanus (Suncus day); 195. Flores Shrew (Suncus mertensi); 196. Black Shrew (Suncus aten); 197. Taita Shrew (Suncus aequatorius Shrew (Suncus infinitesimus); 201. Remy's Pygmy Shrew (Suncus remyi); 202. Lesser Dwarf Shrew (Suncus varilla) Forest Shrew (Sylvisorex johnstonijohnstoni); 206. Akaibe's Forest Shrew (Sylvisorex akaibel); 207. Moon Forest Shrew oriundus); 210. Bioko Forest Shrew (Sylvisorex isabellae); 211. Corbet's Forest Shrew (Sylvisorex corbet)); 212. Bamenda Shrew (Sylvisorex camerunensis); 215. Mount Cameroon Forest Shrew (Sylvisorex morio); 216. Kongana Forest Shrew (Sylvisorex grant); 219. Howell's Forest Shrew (Sylvisorex howell); 220. Armored Hero Shrew (Scutisorex somereni Large-headed Shrew (Paracrocidura schouteden)); 224. Grauer's Large-headed Shrew (Paracrocidura graueri); 225. Piebald Malayan Pygmy Shrew (Suncus malayanus); 188. Bornean Pygmy Shrew (Suncus hose); 189. Jungle Shrew); 192. Nilgiri Highland Shrew (Suncus nigen; 193. Anderson's Shrew (Suncus stoliczkanus); 194. Day's Shrew); 198. Greater Dwarf Shrew (Suncus lixa); 199. Hutu-Tutsi Dwarf Shrew (Suncus hututsi); 200. Least Dwarf; 203. Climbing Shrew (Suncus megalurus); 204. Rwenzori Shrew (Ruwenzorisorex suncoides); 205. Johnston's (Sylvisorex lunaris); 208. Greater Forest Shrew (Sylvisorex ollula); 209. Lesser Forest Shrew (Sylvisorex Forest Shrew (Sylvisorex silvanorum); 213. Rainforest Shrew (Sylvisorex pluvialis); 214. Cameroonian Forest (Sylvisorex konganensis); 217. Volcano Forest Shrew (Sylvisorex vulcanorum); 218. Grant's Forest Shrew); 221. Thor's Hero Shrew (Scutisorex thori); 222. Greater Large-headed Shrew (Paracrocidura maxima); 223. Lesser Shrew (Diplomesodon pulchellus). in Soricidae
On following pages: 185. Etruscan Shrew (Suncus etruscus); 186. Sri Lankan Shrew (Suncus fellowesgordoni); 187. (Suncus zeylanicus); 190. Asian House Shrew (Suncus murinus); 191. Sri Lankan Highland Shrew (Suncus montanus (Suncus day); 195. Flores Shrew (Suncus mertensi); 196. Black Shrew (Suncus aten); 197. Taita Shrew (Suncus aequatorius Shrew (Suncus infinitesimus); 201. Remy's Pygmy Shrew (Suncus remyi); 202. Lesser Dwarf Shrew (Suncus varilla) Forest Shrew (Sylvisorex johnstonijohnstoni); 206. Akaibe's Forest Shrew (Sylvisorex akaibel); 207. Moon Forest Shrew oriundus); 210. Bioko Forest Shrew (Sylvisorex isabellae); 211. Corbet's Forest Shrew (Sylvisorex corbet)); 212. Bamenda Shrew (Sylvisorex camerunensis); 215. Mount Cameroon Forest Shrew (Sylvisorex morio); 216. Kongana Forest Shrew (Sylvisorex grant); 219. Howell's Forest Shrew (Sylvisorex howell); 220. Armored Hero Shrew (Scutisorex somereni Large-headed Shrew (Paracrocidura schouteden)); 224. Grauer's Large-headed Shrew (Paracrocidura graueri); 225. Piebald Malayan Pygmy Shrew (Suncus malayanus); 188. Bornean Pygmy Shrew (Suncus hose); 189. Jungle Shrew); 192. Nilgiri Highland Shrew (Suncus nigen; 193. Anderson's Shrew (Suncus stoliczkanus); 194. Day's Shrew); 198. Greater Dwarf Shrew (Suncus lixa); 199. Hutu-Tutsi Dwarf Shrew (Suncus hututsi); 200. Least Dwarf; 203. Climbing Shrew (Suncus megalurus); 204. Rwenzori Shrew (Ruwenzorisorex suncoides); 205. Johnston's (Sylvisorex lunaris); 208. Greater Forest Shrew (Sylvisorex ollula); 209. Lesser Forest Shrew (Sylvisorex Forest Shrew (Sylvisorex silvanorum); 213. Rainforest Shrew (Sylvisorex pluvialis); 214. Cameroonian Forest (Sylvisorex konganensis); 217. Volcano Forest Shrew (Sylvisorex vulcanorum); 218. Grant's Forest Shrew); 221. Thor's Hero Shrew (Scutisorex thori); 222. Greater Large-headed Shrew (Paracrocidura maxima); 223. Lesser Shrew (Diplomesodon pulchellus).
On following pages: 414. Abyssinian Grass Rat (Arvicanthis abyssinicus); 415. Blick's Grass Rat (Arvicanthis blicki); 416. Neumann's Grass Rat (Arvicanthis neumanni); 417. Sudanian Grass Rat (Arvicanthis ansorgel); 418. African Grass Rat (Arvicanthis niloticus); 419. Guinean Grass Rat (Arvicanthis rufinus); 420. Nairobi Grass Rat (Arvicanthis nairobae); 421. Common Defua Rat (Dephomys defua); 422. Ivory Coast Defua Rat (Dephomys eburneae); 423. Cameroon Highland Striped Mouse (Hybomys badius); 424. Father Basilio's Striped Mouse (Hybomys basilii); 425. Liberian Forest Striped Mouse (Hybomys planifrons); 426. West African Striped Mouse (Hybomys trivirgatus); 427 Moon Mountains Striped Mouse (Hybomys lunaris); 428. Peters's Striped Mouse (Hybomys univittatus);, 429. Mount Oku Rat (Lamottemys okuensis); 430. Ethiopian Three-toed Grass Rat (Mylomys rex); 431. Dybowski's Three-toed Grass Rat (Mylomys dybowskii); 432. Hinde's Rock Rat (Aethomys hindei); 433. West African Rock Rat (Aethomys stannarius); 434. Bocage's Rock Rat (Aethomys bocagei); 435. Kaiser's Rock Rat (Aethomys kaiser); 436. Thomas's Rock Rat (Aethomys thomasi); 437. Red Rock Rat (Aethomys chrysophilus); 438. Tete Rock Rat (Aethomys ineptus); 439. Nyika Rock Rat (Aethomys nyikae); 440. Silinda Rock Rat (Aethomys silindensis). in Muridae
On following pages: 414. Abyssinian Grass Rat (Arvicanthis abyssinicus); 415. Blick's Grass Rat (Arvicanthis blicki); 416. Neumann's Grass Rat (Arvicanthis neumanni); 417. Sudanian Grass Rat (Arvicanthis ansorgel); 418. African Grass Rat (Arvicanthis niloticus); 419. Guinean Grass Rat (Arvicanthis rufinus); 420. Nairobi Grass Rat (Arvicanthis nairobae); 421. Common Defua Rat (Dephomys defua); 422. Ivory Coast Defua Rat (Dephomys eburneae); 423. Cameroon Highland Striped Mouse (Hybomys badius); 424. Father Basilio's Striped Mouse (Hybomys basilii); 425. Liberian Forest Striped Mouse (Hybomys planifrons); 426. West African Striped Mouse (Hybomys trivirgatus); 427 Moon Mountains Striped Mouse (Hybomys lunaris); 428. Peters's Striped Mouse (Hybomys univittatus);, 429. Mount Oku Rat (Lamottemys okuensis); 430. Ethiopian Three-toed Grass Rat (Mylomys rex); 431. Dybowski's Three-toed Grass Rat (Mylomys dybowskii); 432. Hinde's Rock Rat (Aethomys hindei); 433. West African Rock Rat (Aethomys stannarius); 434. Bocage's Rock Rat (Aethomys bocagei); 435. Kaiser's Rock Rat (Aethomys kaiser); 436. Thomas's Rock Rat (Aethomys thomasi); 437. Red Rock Rat (Aethomys chrysophilus); 438. Tete Rock Rat (Aethomys ineptus); 439. Nyika Rock Rat (Aethomys nyikae); 440. Silinda Rock Rat (Aethomys silindensis).
Local structure and density of liquid Fe-C-S alloys at Moon's core conditions
<p>This file includes the raw CAESAR and absorption data measured in each P-T condition and the Python codes for diffraction and absorption data analysis.</p> <p>Matlab codes for P-T calibration are also enclosed.</p>
Data for paper entitled "Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"
<p>This data include all the plat data in the paper "<strong>Effect of iron content on the thermal conductivity of orthopyroxene with implications for the thermal evolution of S-type asteroids and the thermal structure of the Moon"</strong></p>
3D Dark Side Of The Moon - Pink Floyd
I am not affiliated in any way with the owners of "Dark Side of The Moon". All rights go to Pink Floyd and Capitol Records.    Source: Objaverse 1.0 / Sketchfab
Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis
<p>This archive contains data files that can be used to reproduce Figures 7-10 in the article</p> <blockquote> <p>Wieczorek, M. A. (2018) Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis, J. Geophys. Res. Planets.</p> </blockquote> <p>The data files contain the final inversion results for the model using magnetized sills, where the full magnetic field to spherical-harmonic degree 449 was employed. For each localized analysis, the best 6 orthogonal localization windows were used that maximized their power within a spherical cap with an angular radius of 8 degrees and with a spherical-harmonic bandwidth of 58. The analyses were performed at the vertices of a quasi equal-area grid with a spacing corresponding to five degrees of latitude. For these models, the file names start with "sills_449_8_58_5". Each file contains the latitude and longitude (in degrees) of the localization analysis, as well as one other value.</p> <p><br> FILE DESCRIPTIONS</p> <p>sills_449_8_58_5_minchi2r.dat</p> <p>This file contains the minimum reduced chi<sup>2</sup> value of the best-fitting model for each analysis. Uncertainties on the inversion parameters were obtained from Monte Carlo simulations that showed 68.2% and 95.4% of the analyses should have reduced chi<sup>2</sup> values less than 2.133 and 4.082, respectively. Where 1-sigma uncertainties could not be calculated (when the best-fitting misfits were above the 1-sigma limits) the limit was set to +/- 999.e99.</p> <p>sills_449_8_58_5_db.dat<br> sills_449_8_58_5_db_1m.dat<br> sills_449_8_58_5_db_1p.dat</p> <p>The best-fitting depths to the bottom of the magnetized region and their +/- 1-sigma limits (1p/1m).</p> <p>sills_449_8_58_5_dt.dat<br> sills_449_8_58_5_dt_1m.dat<br> sills_449_8_58_5_dt_1p.dat</p> <p>The best-fitting depths to the top of the magnetized region and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rdisk.dat<br> sills_449_8_58_5_rdisk_1m.dat<br> sills_449_8_58_5_rdisk_1p.dat</p> <p>The best-fitting angular radii (in km) of the magnetized sills and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rkm2v2.dat<br> sills_449_8_58_5_rkm2v2_1m.dat<br> sills_449_8_58_5_rkm2v2_1p.dat</p> <p>The best-fitting (N M^2 V^2)^(1/2) values in A m^2 of the magnetized sills and their +/- 1-sigma limits.<br> </p>
Micro-scale Surface Thermophysical Properties Affected by Sample Scooping of the Moon as Revealed by Chang'E-5 Lander Spectra
<p>This archive includes data supporting the manuscript entitled "<span>Micro-scale Surface Thermophysical Properties</span><span><span> Affected by Sample Scooping</span><span> of the Moon as Revealed by Chang'E-5 Lander Spectra</span></span>" by Hengyue Jiao et al.</p>
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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.