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40 results for “LOLA”
Spherical harmonic models of the shape of the Moon (principal axis coordinate system) [LOLA]
<p>This archive contains four spherical harmonic models of the shape of the Moon in a principal axis coordinate system, truncated at different maximum spherical harmonic degrees. The highest resolution model has a maximum spherical harmonic degree of 5759, which was generated from a lunar shape model sampled at 64 pixels per degree.</p> <p>The data used to generate these models are from the LOLA instrument on the Lunar Reconaissance Orbiter, as found in the file <code>ldem_64_pa.img</code> on <a href="https://pds-geosciences.wustl.edu/lro/lro-l-lola-3-rdr-v1/lrolol_1xxx/data/lola_gdr/cylindrical/pa/">NASA's PDS website</a>. This image file was first converted to netcdf format using the <a href="https://www.generic-mapping-tools.org/">generic-mapping-tools</a> function <code>xyz2grd</code>, and the resulting gridline-registered netcdf file was read into the <a href="https://shtools.github.io/SHTOOLS/index.html">pyshtools</a> software and expanded into spherical harmonics using the function <code>SHCoeffs.expand()</code>. The spherical harmonic functions were chosen to be "4pi" normalized and to exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The units of the coefficients are meters.</p> <p>The four files in this archive are</p> <ul> <li>Moon_LOLA_shape_pa_5759.bshc.gz</li> <li>Moon_LOLA_shape_pa_2879.bshc.gz</li> <li>Moon_LOLA_shape_pa_1439.bshc.gz</li> <li>Moon_LOLA_shape_pa_719.bshc.gz</li> </ul> <p>The numbers 5759, 2879, 1439, and 719 in the filename refer to the maximum spherical harmonic degree of file, which corresponds to effective spatial resolutions of 64, 32, 16, and 8 pixels per degree, respectively. The files are stored in the binary "bshc" format as described in the pyshtools documentation and are furthermore compressed using gzip. The lower resolution models were generated by truncating the spherical harmonic coefficients of the highest resolution model.</p> <p>This shape model uses the same coordinate system as most lunar gravity models. The principal axis coordinate system differs from the more common mean Earth/polar axis system by about 1 km at the equator. For a mean Earth/polar axis model, use <a href="../records/10796823">Spherical harmonic models of the shape of the Moon</a>.</p>
Spherical harmonic models of the shape of the Moon [LOLA]
<p>This archive contains four spherical harmonic models of the shape of the Moon truncated at different maximum spherical harmonic degrees. The highest resolution model has a maximum spherical harmonic degree of 5759, which was generated from a lunar shape model sampled at 64 pixels per degree in the DE421 mean Earth/polar axis coordinate frame.</p> <p>The data used to generate these models are from the LOLA instrument on the Lunar Reconaissance Orbiter, as found in the file <code>ldem_64_float.img</code> on <a href="https://pds-geosciences.wustl.edu/lro/lro-l-lola-3-rdr-v1/lrolol_1xxx/data/lola_gdr/cylindrical/float_img/">NASA's PDS website</a>. This image file was first converted to netcdf format using the <a href="https://www.generic-mapping-tools.org/">generic-mapping-tools</a> function <code>xyz2grd</code>, and the resulting pixel registed map was then converted to a gridline registration using the function <code>grdsample</code>. Following this, the resulting netcdf file was read into the <a href="https://shtools.github.io/SHTOOLS/index.html">pyshtools</a> software and expanded into spherical harmonics using the function <code>SHCoeffs.expand()</code>. The spherical harmonic functions were chosen to be "4pi" normalized and to exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The units of the coefficients are meters.</p> <p>The four files in this archive are</p> <ul> <li>Moon_LOLA_shape_5759.bshc.gz</li> <li>Moon_LOLA_shape_2879.bshc.gz</li> <li>Moon_LOLA_shape_1439.bshc.gz</li> <li>Moon_LOLA_shape_719.bshc.gz</li> </ul> <p>The numbers 5759, 2879, 1439, and 719 in the filename refer to the maximum spherical harmonic degree of file, which corresponds to effective spatial resolutions of 64, 32, 16, and 8 pixels per degree, respectively. The files are stored in the binary "bshc" format as described in the pyshtools documentation and are furthermore compressed using gzip. The lower resolution models were generated by truncating the spherical harmonic coefficients of the highest resolution model.</p> <p>Note that this shape model should not be used in conjunction with most gravity models of the Moon. The gravity models use a principal axis coordinate system that differs from the mean Earth/polar axis frame by about 1 km at the equator. For a principal axis coordinate system model, use <a href="../doi/10.5281/zenodo.10796953">Spherical harmonic models of the shape of the Moon (principal axis coordinate system)</a>.</p>
LOLA. Flamenco tagged audios Dataset
<p>This dataset holds ~1500 audio samples of 3 different flamenco styles. Those styles are:</p> <ul> <li>Bulerías</li> <li>Alegrías</li> <li>Sevillanas</li> </ul> <p>Each audio is in a folder with the same name as the style to which it belongs. Each audio has a duration between 10 and 15 seconds and is saved in mp3 format.</p>
JASPAR TFBS LOLA databases - Part 2
<p>This repository contains the second part of the JASPAR 2022 LOLA databases used by the <a href="https://bitbucket.org/CBGR/jaspar_enrichment">JASPAR TFBS enrichment tool</a>. We provide the LOLA databases for the human (hg38) JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects.</p> <p>Due to file sizes, we had to split the repository into two different parts. Part 1 of the repository containing the rest of databases can be found <a href="https://doi.org/10.5281/zenodo.6860527">here</a>.</p>
JASPAR TFBS LOLA databases - Part 1
<p>This repository contains the first part of the JASPAR 2022 LOLA databases used by the <a href="https://bitbucket.org/CBGR/jaspar_enrichment">JASPAR TFBS enrichment tool</a>. For each organism, we provide the LOLA databases for all JASPAR 2022 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly.</p> <p>Due to file sizes, we had to split the repository into two different parts. Part 2 of the repository containing the databases for human can be found <a href="https://doi.org/10.5281/zenodo.6860555">here</a>.</p>
JASPAR 2024 TFBS LOLA databases - Part 1
<p>This repository contains the first part of the JASPAR 2024 LOLA databases used by the <a href="https://bitbucket.org/CBGR/jaspar_enrichment">JASPAR TFBS enrichment tool</a>. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly.</p> <p>The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs:</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.8341374">Part 1</a>: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3.</li> <li><a href="http://doi.org/10.5281/zenodo.8342340">Part 2</a>: hg38.</li> <li><a href="http://doi.org/10.5281/zenodo.8342388">Part 3</a>: mm39.</li> </ul>
JASPAR 2024 TFBS LOLA databases - Part 3
<p>This repository contains the third part of the JASPAR 2024 LOLA databases used by the <a href="https://bitbucket.org/CBGR/jaspar_enrichment">JASPAR TFBS enrichment tool</a>. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly.</p> <p>The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs:</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.8341374">Part 1</a>: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3.</li> <li><a href="http://doi.org/10.5281/zenodo.8342340">Part 2</a>: hg38.</li> <li><a href="http://doi.org/10.5281/zenodo.8342388">Part 3</a>: mm39.</li> </ul>
LOLA - Evaluation Tables - Few-Shot
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LOLA - Evaluation Tables - One-Shot
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LOLA - Evaluation Tables - Zero-Shot
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The Effectiveness of L-ornithine-L-aspartate (LOLA) on Plasma Ammonia in Cirrhotic Patients After TIPS
ClinicalTrials.gov study NCT01440829. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Effect of L-ornithine-L-aspertate (LOLA) on the Gut Microbiome
ClinicalTrials.gov study NCT05737030. IPD Sharing: YES. Countries: 1. Publications: 1.
LOw Level of Activity (LOLA): Education and Exercise-based Intervention for Low Back Pain
ClinicalTrials.gov study NCT04576611. IPD Sharing: NO. Countries: 1. Publications: 8.
Entrevista a Fernando Lolas Stepke, miembro de la Academia Chilena de la Lengua
<p>Entrevista realizada a Fernando Lolas Stepke, miembro de la Academia Chilena de la Lengua.</p>
Genome-wide binding of Lola in S2 cells
GEO Series GSE136999. Drosophila melanogaster. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
RNA-Sequencing of Wild Type, Lola-F and Lola-Null mutant embryos
GEO Series GSE93294. Drosophila melanogaster. 14 samples. Type: Expression profiling by high throughput sequencing.
Lola-I is a promoter pioneer factor that establishes de novo Pol II pausing during development [ChIP-seq]
GEO Series GSE200870. Drosophila melanogaster. 33 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Lola-I is a promoter pioneer factor that establishes de novo Pol II pausing during development [scRNA-Seq]
GEO Series GSE200874. Drosophila melanogaster. 4 samples. Type: Expression profiling by high throughput sequencing.
Lola-I is a promoter pioneer factor that establishes de novo Pol II pausing during development [RNA-Seq]
GEO Series GSE200873. Drosophila melanogaster. 16 samples. Type: Expression profiling by high throughput sequencing.
Profiling of Lola-N genomic binding in Drosophila with DamID
GEO Series GSE53447. Drosophila melanogaster. 3 samples. Type: Genome binding/occupancy profiling by genome tiling array.
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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)
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DANDI Archive for NWB datasets
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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.
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.