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GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Tissue composition and microstructure, part 2 (record 14 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Tissue composition and microstructure, part 1 (record 13 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Regional and tissue volume, part 6 (record 12 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Regional and tissue volume, part 5 (record 11 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Regional and tissue volume, part 4 (record 10 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
GWAS summary statistics for 2,124 brain imaging-derived phenotypes in UK Biobank – Regional and tissue volume, part 3 (record 9 of 20)
November, 2026 • Dataset
Moore, Anni
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area an…
Genome-wide association summary statistics for 2,124 structural brain MRI imaging-derived phenotypes (IDPs) in 38,303 European-ancestry UK Biobank participants. IDP categories include cortical area and thickness, white matter microstructure, regional and tissue volume, and tissue intensity.This record is one of 20 parts of the full dataset. Each record contains:gwas_sumstats_<category>_part<N>.tar.zst: summary statistics for the IDPs in this part (zstd-compressed tar archive; extract with tar --zstd -xf)gwas_sumstats_<category>_part<N>.tar.zst.sha256: SHA-256 checksum of the archive<category>_part<N>_files.txt: list of the IDP summary statistics files contained in the archiveGenome build: GRCh38. Association software: REGENIE v3.
Mendes, Dener César, Santiago Júnior, Valdivino Alexandre de, Angelo, Mateus
This dataset accompanies the BATEIA-1 research project (Balanced ArTificial-intelligence Method for EstImating parameters of stAr clusters), which investigates the estimation of structural parameters …
This dataset accompanies the BATEIA-1 research project (Balanced ArTificial-intelligence Method for EstImating parameters of stAr clusters), which investigates the estimation of structural parameters of open star clusters using machine learning and deep learning.
The research combines prepared stellar data from Gaia DR3, reference structural parameters from the literature, and synthetic cluster generation based on King profiles. Stellar sky maps are used for visual feature extraction, followed by regression of four structural parameters: central stellar density (f0), core radius (Rc), tidal radius (Rt), and background stellar density (fbg).
This deposit provides research data associated with the training and evaluation of the BATEIA-1 approach. Its intended uses include reproducing the associated experiments, investigating the methodology, and developing comparative approaches to open star cluster characterization.
The methodology is intended for non-embedded open clusters whose spatial distributions can be adequately described by single-component King profiles. Reference labels inherit the assumptions and limitations of the underlying profile fits and literature measurements.
Associated publication:Mendes, D. C.; Santiago Júnior, V. A.; Angelo, M. S. (2026). BATEIA-1: An Approach for determining the structural parameters of open star clusters via machine and deep learning. Astronomy and Computing, 56, 101119.https://doi.org/10.1016/j.ascom.2026.101119
Users should cite this dataset and the associated article when using these materials, together with the original data sources relevant to their analysis.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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