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69 results for “LRO”

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zenodo40/100

Supporting Material for "Lunar Surface Model Age Derivation: Comparisons Between Automatic and Human Crater Counting Using LRO-NAC And Kaguya TC Images"

<p>Supporting Material for &quot;Lunar Surface Model Age Derivation: Comparisons Between Automatic and Human Crater Counting Using LRO-NAC And Kaguya TC Images&quot;</p> <p>Contents of this material</p> <ul> <li>Supplemental Text S1 and Text S2.</li> <li>Figures S1, S2, S2, S4, S5.</li> <li>Tables S1, S2</li> </ul> <p>For any questions email JHF (john.h.fairweaher@gmail.com).</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Data production of ''Lunar Titanium and Frequency‐Dependent Microwave Loss Tangent ... LRO Diviner Lunar Radiometers"

<p>These are the image data of &quot;Lunar Titanium and Frequency‐Dependent Microwave Loss Tangent as Constrained by the Chang&#39;E‐2 MRM and LRO Diviner Lunar Radiometers&quot;.</p>

opencc-by-4.0Aug 2020View details →
zenodo32/100

LRO Craters (COCO)

<p>This remarkable dataset of lunar images captured by the LRO Camera has been meticulously labeled in COCO format for object detection tasks in computer vision. The COCO annotation format provides a standardized way of describing objects in the images, including their locations and class labels, enabling machine learning algorithms to learn to recognize and detect objects in the images more accurately.</p> <p>This dataset captures a wide variety of lunar features, including craters, mountains, and other geological formations, all labeled with precise and consistent COCO annotation. The dataset&#39;s comprehensive coverage of craters and other geological features on the Moon provides a treasure trove of data and insights into the evolution of our closest celestial neighbor.</p> <p>The COCO annotation format is particularly well-suited for handling complex scenes with multiple objects, occlusions, and overlapping objects. With the precise labeling of objects provided by COCO annotation, this dataset enables researchers and scientists to train machine learning algorithms to automatically detect and analyze these features in large datasets.</p> <p>In conclusion, this valuable dataset of lunar images labeled in COCO annotation format provides a powerful tool for research and discovery in the field of planetary science. With its comprehensive coverage and precise labeling of lunar features, it offers a wealth of data and insights into the evolution of the Moon&#39;s landscape, facilitating research and understanding of this enigmatic celestial body.</p>

opencc-by-4.0Mar 2023View details →
dryad32/100

Age-by-maternal-age Markov chain with rewards analysis of variance in LRO in rotifers

<p>This set of data and code files is a supplement to the American Naturalist paper:<br> van Daalen et al. 2021 The contributions of maternal age heterogeneity to variance in lifetime reproductive output</p> <p>It provides the user the matrices (as first presented in Hernandez et al., 2020, PNAS) and the code to reproduce our analysis or apply the methods to their own data. Two multistate, age-by-maternal-age matrices with basic demographic information (survival and transitions, and fertility) are provided, as well as data to paramaterize a reward matrix. The code presents a Markov chain with rewards approach to calculating mean and variance in lifetime reproductive output from a multistate matrix model, and a method to decompose variance into contributions by individual heterogeneity (from maternal age) and stochasticity (due to inherent randomness in the outcomes of age-specific survival probabilities and age-specific reproductive output).</p>

opencc-zeroMar 2022View details →
dryad32/100

Age-by-maternal-age Markov chain with rewards analysis of variance in LRO in rotifers

Open the record for dataset details and reuse information.

publicMar 2022View details →
nasa20/100

LRO MOON MINI-RF 2/3/5 BISTATIC RADAR V2.0

This data set contains radar data of the lunar surface from bistatic measurements utilizing the Aricebo Observatory transmitter and LRO Mini-RF receiver.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON LASER ALTIMETER 5 SHADR V1.0

This data set contains spherical harmonic topographic (shape) and gravity potential models from the Lunar Orbiter Laser Altimeter instrument, LRO Laser Ranging, and radio tracking.

restrictedus-pdMar 2025View details →
nasa20/100

LRO DLRE 5 POLAR RESOURCE PRODUCT

This data set consists of the Diviner Lunar Radiometer Experiment Polar Resource Products also known as PRPs. The DLRE is a surface pushbroom mapper that measures emitted thermal radiation and reflected solar radiation from the surface of the moon. Two Diviner solar channels measure 0.3-3 micrometers reflected solar radiation. Three Diviner channels near 8 micrometers classify regolith mineralogy by mapping the location of the Christiansen feature. The remaining four Diviner channels measure surface temperature in four spectral bands ranging from 12.5 micrometers to beyond 200 micrometers.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON MINI-RF 4 CALIBRATED DATA RECORD V1.0

This data set contains Level 1 archival calibrated burst mode data acquired from the Mini-RF instrument during the LRO mission and associated ancillary data.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON MINI-RF 5 GLOBAL MOSAIC V1.0

This data set contains global uncontrolled mosaics of the Moon in simple cylindrical projection. The images are derived from the LRO Mini-RF Map-projected Calibrated Data Records (PDS data set ID LRO-L-MRFLRO-5-CDR-MAP- V1.0).

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON LASER ALTIMETER 3 RADR V1.0

This data set contains archival radiometric data derived from reduced altimetry measured by the Lunar Orbiter Laser Altimeter instrument during LRO's Nominal Mission. LOLA is a pulse detection, time-of-flight laser altimeter that measures the distance between the LRO spacecraft and the surface of the Moon. LOLA transmits a 5-spot pattern, thus providing 5 simultaneous profiles across the lunar surface whose separation depends on spacecraft altitude. LOLA also measures the energy of the return pulses, which enables the calculation of the surface albedo after calibration.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON CRATER 3 CALIBRATED ENERGY DATA V1.0

This data set contains calibrated data records (CDR)of science measurements and supporting configuration and engineering data from the LRO Cosmic Ray Telescope for the Effects of Radia- tion (CRaTER) instrument. The data consists of primary science (charged-particle event energy depositions), secondary science (detector singles count rates, event counters, detector event thresholds, pulser configuration), and housekeeping (voltages, currents, temperatures, accumulated radiation dosage, etc.) parameters.

restrictedus-pdApr 2025View details →
nasa20/100

LRO MOON LROC 2 EDR V1.0

This data set comprises Un-calibrated data from the LROC NAC and WAC cameras. The science data is comprised of Un-calibrated raw images, along with pointing data and housekeeping information.

restrictedus-pdMar 2025View details →
nasa20/100

LRO DLRE 5 GLOBAL CUMULATIVE PRODUCTS

This data set consists of the Diviner Lunar Radiometer Experiment Global Cumulative Products also known as GCPs. The DLRE is a surface pushbroom mapper that measures emitted thermal radiation and reflected solar radiation from the surface of the moon. Two Diviner solar channels measure 0.3-3 micrometers reflected solar radiation. Three Diviner channels near 8 micrometers classify regolith mineralogy by mapping the location of the Christiansen feature. The remaining four Diviner channels measure surface temperature in four spectral bands ranging from 12.5 micrometers to beyond 200 micrometers.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON CRATER EDR RAWDATA VERSION 1.0

This data set comprises the raw binary data from from the LRO Cosmic Ray Telescope for the Effects of Radiation (CRaTER) instrument. The data consists of the unconverted primary science, secondary science, and housekeeping CCSDS-formatted data packets and data headers.

restrictedus-pdApr 2025View details →
nasa20/100

LRO MOON LASER ALTIMETER 2 EDR V1.0

This data set contains archival raw experiment data from the Lunar Orbiter Laser Altimeter instrument (LOLA).

restrictedus-pdApr 2025View details →
nasa20/100

LRO LUNAR EXPLORATION NEUTRON DETECTOR 4/5 RDR V1.0

Calibrated or converted housekeeping and scientific data collected from the Lunar Exploration Neutron Detector aboard the Lunar Reconnaissance Orbiter.

restrictedus-pdMar 2025View details →
nasa20/100

LRO LUNAR SPICE KERNELS V1.0

This data set includes the complete set of Lunar Reconnaissance Orbiter SPICE data files (``kernel files''), which can be accessed using SPICE software. The SPICE data contains geometric and other ancillary information needed to recover the full value of science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.

restrictedus-pdMar 2025View details →
nasa20/100

LRO MOON MINI-RF 2/3/5 BISTATIC RADAR V3.0

This data set contains radar data of the lunar surface from bistatic measurements utilizing the Arecibo Observatory transmitter and LRO Mini-RF receiver.

restrictedus-pdMar 2025View details →
nasa20/100

LRO DLRE LEVEL 2 EDR V1.0

This data set consists of the Diviner Lunar Radiometer Experiment uncalibrated observations, also known as EDRs. The DLRE is a surface pushbroom mapper that measures emitted thermal radiation and reflected solar radiation from the surface of the moon. Two Diviner solar channels measure 0.3-3 micrometers reflected solar radiation. Three Diviner channels near 8 micrometers classify regolith mineralogy by mapping the location of the Christiansen feature. The remaining four Diviner channels measure surface temperature in four spectral bands ranging from 12.5 micrometers to beyond 200 micrometers.

restrictedus-pdApr 2025View details →

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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.

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