cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.br3e9q
title: Occurrence Download

description: A dataset containing 1317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Moehringia macrophylla (Hook.) Fenzl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "Issue" : [
 "is one of (Coordinate reprojection suspicious, Coordinate reprojection failed, Coordinate precision invalid, Coordinate invalid, Geodetic datum invalid)"
 ]
 }
 },
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "Country is one of (United States of America, Canada, Mexico)"
 ]
}

 The dataset includes 1317 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10817586
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.25318/1210013901-eng
title: Trade in goods by importer characteristics, by industry and census metropolitan area

description: Trade by importer characteristics by North American Industry Classification System (NAICS) industry codes at the establishment level. Users have the option of selecting value of imports and number of importing establishments in all Census metropolitan areas in Canada.
DOI: 10.15468/dl.vg4n2n
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Passiflora putumayensis Killip"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000779-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1210013901-fra
title: Commerce des biens selon les caractéristiques des importateurs, selon l'industrie et Région métropolitaine de recensement

description: Données sur le commerce des biens selon les caractéristiques des importateurs disponibles selon le Système de classification des industries de l'Amérique du Nord (SCIAN) au niveau de l'établissement. Les utilisateurs peuvent sélectionner des données liées à la valeur des importations et au nombre d'entreprises importatrices pour l'ensemble des régions métropolitaines de recensement du Canada.
DOI: 10.25318/1210014001-eng
title: Merchandise imports and exports, customs-based, by free trade agreement and by commodity, inactive

description: International merchandise trade data grouped by free trade agreement and by commodity. Users have the option of selecting imports or exports, as well as specifying either total values or any of the section, division or group values of the North American Product Classification System (NAPCS). Users also have the option of selecting any of the country groups with whom Canada has a free trade agreement or is currently negotiating or discussing the possibility of such an agreement. Data are on a customs basis and not seasonally adjusted.
DOI: 10.25318/1210014001-fra
title: Importations et exportations de marchandises, sur une base douanière, par l'accord de libre-échange et par produits, inactif

description: Données sur le commerce international de marchandises groupées par accord de libre-échange et produits. Les utilisateurs ont l'option de choisir les importations ou les exportations ainsi que de sélectionner les valeurs totales ou les valeurs d'une section, d'une division, ou d'un des groupes du Système de classification de produits de l'Amérique du Nord (SCPAN). Les utilisateurs peuvent également choisir l'un ou l'autre des groupes de pays avec lesquels le Canada a noué un accord de libre-échange ou avec lesquels il négocie ou discute actuellement la possibilité de passer un tel accord. Les données sont présentées sur une base douanière et non désaisonnalisées.
DOI: 10.15468/dl.u6n254
title: Occurrence Download

description: A dataset listing the 431865 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset's 431865 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10817619
title: Deaths in state-based v3
DOI: 10.5519/qd.3l5z0rph
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.12729255
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference.

https://github.com/PacificBiosciences/HiFi-human-WGS-WDL

hifi-wdl-resources-v2.0.0-rc1
├── GRCh38
│   ├── annotation
│   │   ├── GRCh38.oddRegions.bed.gz
│   │   ├── GRCh38.oddRegions.bed.gz.tbi
│   │   ├── GRCh38.repeats.bed.gz
│   │   ├── GRCh38.repeats.bed.gz.tbi
│   │   ├── GRCh38.segdups.bed.gz
│   │   ├── GRCh38.segdups.bed.gz.tbi
│   │   └── README.md
│   ├── ensembl.GRCh38.101.reformatted.gff3.gz
│   ├── hificnv
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi
│   │   ├── expected_cn.hg38.XX.bed
│   │   ├── expected_cn.hg38.XY.bed
│   │   └── README.md
│   ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt
│   ├── human_GRCh38_no_alt_analysis_set.fasta
│   ├── human_GRCh38_no_alt_analysis_set.fasta.fai
│   ├── human_GRCh38_no_alt_analysis_set.pbsv_splits.json
│   ├── human_GRCh38_no_alt_analysis_set.trf.bed
│   ├── pharmcat
│   │   ├── pharmcat_positions_2.12.0.vcf.bgz
│   │   ├── pharmcat_positions_2.12.0.vcf.bgz.csi
│   │   └── README.md
│   ├── README
│   ├── slivar_gnotate
│   │   ├── buildGnomad_v4
│   │   ├── CoLoRSdb.GRCh38.v1.0.0.deepvariant.glnexus.zip
│   │   ├── gnomad.hg38.v4.1.custom.v1.zip
│   │   └── README.md
│   ├── sv_pop_vcfs
│   │   ├── CoLoRSdb.GRCh38.v1.0.0.pbsv.jasmine.vcf.gz
│   │   ├── CoLoRSdb.GRCh38.v1.0.0.pbsv.jasmine.vcf.gz.tbi
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz.tbi
│   │   └── README.md
│   └── trgt
│       ├── human_GRCh38_no_alt_analysis_set.trgt.adotto_repeats.hg38.bed
│       ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed
│       └── README.md
└── slivar
    ├── clinvar_gene_desc.20240624T165443.txt
    ├── lof_lookup.v2.1.1.txt
    ├── README
    └── slivar-functions.v0.2.8.js

8 directories, 38 files
DOI: 10.5281/zenodo.13315674
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference.

https://github.com/PacificBiosciences/HiFi-human-WGS-WDL

hifi-wdl-resources-v2.0.0-rc2
├── GRCh38
│   ├── annotation
│   │   ├── GRCh38.oddRegions.bed.gz
│   │   ├── GRCh38.oddRegions.bed.gz.tbi
│   │   ├── GRCh38.repeats.bed.gz
│   │   ├── GRCh38.repeats.bed.gz.tbi
│   │   ├── GRCh38.segdups.bed.gz
│   │   ├── GRCh38.segdups.bed.gz.tbi
│   │   └── README.md
│   ├── ensembl.GRCh38.101.reformatted.gff3.gz
│   ├── hificnv
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi
│   │   ├── expected_cn.hg38.XX.bed
│   │   ├── expected_cn.hg38.XY.bed
│   │   └── README.md
│   ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt
│   ├── human_GRCh38_no_alt_analysis_set.fasta
│   ├── human_GRCh38_no_alt_analysis_set.fasta.fai
│   ├── human_GRCh38_no_alt_analysis_set.pbsv_splits.json
│   ├── human_GRCh38_no_alt_analysis_set.trf.bed
│   ├── pharmcat
│   │   ├── pharmcat_positions_2.15.0.vcf.bgz
│   │   ├── pharmcat_positions_2.15.0.vcf.bgz.csi
│   │   └── README.md
│   ├── README
│   ├── slivar_gnotate
│   │   ├── buildGnomad_v4
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.deepvariant.glnexus.zip
│   │   ├── gnomad.hg38.v4.1.custom.v1.zip
│   │   └── README.md
│   ├── sv_pop_vcfs
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.pbsv.jasmine.vcf.gz
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.pbsv.jasmine.vcf.gz.tbi
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz.tbi
│   │   └── README.md
│   └── trgt
│       ├── human_GRCh38_no_alt_analysis_set.trgt.adotto_repeats.hg38.bed
│       ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed
│       └── README.md
├── GRCh38.ref_map.v2p0p0-rc2.template.tsv
├── GRCh38.tertiary_map.v2p0p0-rc2.template.tsv
└── slivar
    ├── clinvar_gene_desc.20240624T165443.txt
    ├── lof_lookup.v2.1.1.txt
    ├── README
    └── slivar-functions.v0.2.8.js

8 directories, 40 files
DOI: 10.5281/zenodo.14027047
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference.

https://github.com/PacificBiosciences/HiFi-human-WGS-WDL

 

hifi-wdl-resources-v2.0.0
├── GRCh38
│   ├── annotation
│   │   ├── GRCh38.oddRegions.bed.gz
│   │   ├── GRCh38.oddRegions.bed.gz.tbi
│   │   ├── GRCh38.repeats.bed.gz
│   │   ├── GRCh38.repeats.bed.gz.tbi
│   │   ├── GRCh38.segdups.bed.gz
│   │   ├── GRCh38.segdups.bed.gz.tbi
│   │   └── README.md
│   ├── ensembl.GRCh38.101.reformatted.gff3.gz
│   ├── hificnv
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi
│   │   ├── expected_cn.hg38.XX.bed
│   │   ├── expected_cn.hg38.XY.bed
│   │   └── README.md
│   ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt
│   ├── human_GRCh38_no_alt_analysis_set.fasta
│   ├── human_GRCh38_no_alt_analysis_set.fasta.fai
│   ├── human_GRCh38_no_alt_analysis_set.pbsv_splits.json
│   ├── human_GRCh38_no_alt_analysis_set.trf.bed
│   ├── pharmcat
│   │   ├── pharmcat_positions_2.15.4.vcf.bgz
│   │   ├── pharmcat_positions_2.15.4.vcf.bgz.csi
│   │   └── README.md
│   ├── README
│   ├── slivar_gnotate
│   │   ├── buildGnomad_v4
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.deepvariant.glnexus.zip
│   │   ├── gnomad.hg38.v4.1.custom.v1.zip
│   │   └── README.md
│   ├── sv_pop_vcfs
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.pbsv.jasmine.vcf.gz
│   │   ├── CoLoRSdb.GRCh38.v1.1.0.pbsv.jasmine.vcf.gz.tbi
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz.tbi
│   │   └── README.md
│   └── trgt
│       ├── human_GRCh38_no_alt_analysis_set.trgt.adotto_repeats.hg38.bed
│       ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed
│       └── README.md
├── GRCh38.ref_map.v2p0p0.template.tsv
├── GRCh38.tertiary_map.v2p0p0.template.tsv
└── slivar
    ├── clinvar_gene_desc.20240624T165443.txt
    ├── lof_lookup.v2.1.1.txt
    ├── README
    └── slivar-functions.v0.2.8.js

8 directories, 40 files
DOI: 10.5281/zenodo.14908106
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference.

https://github.com/PacificBiosciences/HiFi-human-WGS-WDL

Note: The directory name has not been updated from previous versions.

hifi-wdl-resources-v2.0.0
├── GRCh38
│   ├── annotation
│   │   ├── GRCh38.oddRegions.bed.gz
│   │   ├── GRCh38.oddRegions.bed.gz.tbi
│   │   ├── GRCh38.repeats.bed.gz
│   │   ├── GRCh38.repeats.bed.gz.tbi
│   │   ├── GRCh38.segdups.bed.gz
│   │   ├── GRCh38.segdups.bed.gz.tbi
│   │   └── README.md
│   ├── ensembl.GRCh38.101.reformatted.gff3.gz
│   ├── hificnv
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz
│   │   ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi
│   │   ├── expected_cn.hg38.XX.bed
│   │   ├── expected_cn.hg38.XY.bed
│   │   └── README.md
│   ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt
│   ├── human_GRCh38_no_alt_analysis_set.fasta
│   ├── human_GRCh38_no_alt_analysis_set.fasta.fai
│   ├── human_GRCh38_no_alt_analysis_set.pbsv_splits.json
│   ├── human_GRCh38_no_alt_analysis_set.trf.bed
│   ├── pharmcat
│   │   ├── pharmcat_positions_2.15.4.vcf.bgz
│   │   ├── pharmcat_positions_2.15.4.vcf.bgz.csi
│   │   └── README.md
│   ├── README
│   ├── slivar_gnotate
│   │   ├── buildGnomad_v4
│   │   ├── CoLoRSdb.GRCh38.v1.2.0.deepvariant.glnexus.zip
│   │   ├── gnomad.hg38.v4.1.custom.v1.zip
│   │   └── README.md
│   ├── sv_pop_vcfs
│   │   ├── CoLoRSdb.GRCh38.v1.2.0.pbsv.jasmine.vcf.gz
│   │   ├── CoLoRSdb.GRCh38.v1.2.0.pbsv.jasmine.vcf.gz.tbi
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz
│   │   ├── gnomad.v4.1.sv.sites.pass.vcf.gz.tbi
│   │   └── README.md
│   └── trgt
│       ├── human_GRCh38_no_alt_analysis_set.trgt.adotto_repeats.hg38.bed
│       ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed
│       └── README.md
├── GRCh38.ref_map.v2p0p0.template.tsv
├── GRCh38.tertiary_map.v2p0p0.template.tsv
└── slivar
    ├── clinvar_gene_desc.20240624T165443.txt
    ├── lof_lookup.v2.1.1.txt
    ├── README
    └── slivar-functions.v0.2.8.js

8 directories, 40 files
DOI: 10.5281/zenodo.7922357
title: Reference data bundle for PacificBiosciences/wdl-humanwgs

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference. https://github.com/PacificBiosciences/wdl-humanwgs <pre><code>static_resources/ ├── genes │ ├── buildGenes │ ├── ensembl.chrom.tsv │ ├── ensembl.hgncSymbol.tsv │ ├── mart_export.txt │ ├── ncbiGene.ensembl.tsv │ └── README ├── GRCh38 │ ├── annotation │ │ ├── GRCh38.oddRegions.bed.gz │ │ ├── GRCh38.oddRegions.bed.gz.tbi │ │ ├── GRCh38.repeats.bed.gz │ │ ├── GRCh38.repeats.bed.gz.tbi │ │ ├── GRCh38.segdups.bed.gz │ │ ├── GRCh38.segdups.bed.gz.tbi │ │ └── README │ ├── ensembl.GRCh38.101.reformatted.gff3.gz │ ├── hificnv │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi │ │ ├── female_expected_cn.hg38.bed │ │ ├── male_expected_cn.hg38.bed │ │ └── README │ ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt │ ├── human_GRCh38_no_alt_analysis_set.dict │ ├── human_GRCh38_no_alt_analysis_set.fasta │ ├── human_GRCh38_no_alt_analysis_set.fasta.fai │ ├── human_GRCh38_no_alt_analysis_set.ploidy.txt │ ├── human_GRCh38_no_alt_analysis_set.trf.bed │ ├── README │ ├── slivar_gnotate │ │ ├── add_nhomalt.py │ │ ├── buildChrX │ │ ├── buildGnomad │ │ ├── gnomad.hg38.v3.custom.v1.zip │ │ ├── hprc.deepvariant.glnexus.hg38.v1.zip │ │ ├── hprc_samples.txt │ │ ├── hprc_sex.txt │ │ └── README │ ├── sv_pop_vcfs │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz.tbi │ │ ├── hprc.GRCh38.pbsv.vcf.gz │ │ ├── hprc.GRCh38.pbsv.vcf.gz.tbi │ │ ├── hprc_samples.txt │ │ ├── nstd166.GRCh38.variant_call.vcf.gz │ │ ├── nstd166.GRCh38.variant_call.vcf.gz.tbi │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz.tbi │ │ └── README │ └── trgt │ ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed │ └── README ├── hpo │ ├── buildHpo │ ├── ensembl.hpoPhenotype.tsv │ ├── ensembl.inheritance.tsv │ ├── genes_to_phenotype.txt │ ├── hpoDagModifications.add.txt │ ├── hpoDagModifications.remove.txt │ ├── hpoDag.txt │ ├── hpoTerms.txt │ └── README └── slivar ├── clinvar_gene_desc.20221214T183140.txt ├── lof_lookup.v2.1.1.txt ├── README └── slivar-functions.v0.2.8.js 9 directories, 59 files </code></pre>
description: {"references": ["10.1038/s41588-021-00865-4", "10.1016/j.cell.2018.12.019", "10.1038/s41586-020-2287-8", "10.1038/s41586-020-2308-7"]}
DOI: 10.5281/zenodo.8381621
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference. https://github.com/PacificBiosciences/HiFi-human-WGS-WDL <pre><code>static_resources/ ├── genes │ ├── buildGenes │ ├── ensembl.chrom.tsv │ ├── ensembl.hgncSymbol.tsv │ ├── mart_export.txt │ ├── ncbiGene.ensembl.tsv │ └── README ├── GRCh38 │ ├── annotation │ │ ├── GRCh38.oddRegions.bed.gz │ │ ├── GRCh38.oddRegions.bed.gz.tbi │ │ ├── GRCh38.repeats.bed.gz │ │ ├── GRCh38.repeats.bed.gz.tbi │ │ ├── GRCh38.segdups.bed.gz │ │ ├── GRCh38.segdups.bed.gz.tbi │ │ └── README │ ├── ensembl.GRCh38.101.reformatted.gff3.gz │ ├── hificnv │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi │ │ ├── expected_cn.hg38.XX.bed │ │ ├── expected_cn.hg38.XY.bed │ │ └── README │ ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt │ ├── human_GRCh38_no_alt_analysis_set.dict │ ├── human_GRCh38_no_alt_analysis_set.fasta │ ├── human_GRCh38_no_alt_analysis_set.fasta.fai │ ├── human_GRCh38_no_alt_analysis_set.ploidy.txt │ ├── human_GRCh38_no_alt_analysis_set.trf.bed │ ├── README │ ├── slivar_gnotate │ │ ├── add_nhomalt.py │ │ ├── buildChrX │ │ ├── buildGnomad │ │ ├── gnomad.hg38.v3.custom.v1.zip │ │ ├── hprc.deepvariant.glnexus.hg38.v1.zip │ │ ├── hprc_samples.txt │ │ ├── hprc_sex.txt │ │ └── README │ ├── sv_pop_vcfs │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz.tbi │ │ ├── hprc.GRCh38.pbsv.vcf.gz │ │ ├── hprc.GRCh38.pbsv.vcf.gz.tbi │ │ ├── hprc_samples.txt │ │ ├── nstd166.GRCh38.variant_call.vcf.gz │ │ ├── nstd166.GRCh38.variant_call.vcf.gz.tbi │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz.tbi │ │ └── README │ └── trgt │ ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed │ └── README ├── hpo │ ├── buildHpo │ ├── ensembl.hpoPhenotype.tsv │ ├── ensembl.inheritance.tsv │ ├── genes_to_phenotype.txt │ ├── hpoDagModifications.add.txt │ ├── hpoDagModifications.remove.txt │ ├── hpoDag.txt │ ├── hpoTerms.txt │ └── README └── slivar ├── clinvar_gene_desc.20221214T183140.txt ├── lof_lookup.v2.1.1.txt ├── README └── slivar-functions.v0.2.8.js 9 directories, 59 files</code></pre>
description: {"references": ["10.1038/s41588-021-00865-4", "10.1016/j.cell.2018.12.019", "10.1038/s41586-020-2287-8", "10.1038/s41586-020-2308-7"]}
DOI: 10.5281/zenodo.8415406
title: Reference data bundle for PacificBiosciences/HiFi-human-WGS-WDL

description: Static input files to support alignment, variant calling, filtering, and annotation for human HiFi WGS using the GRCh38 reference. https://github.com/PacificBiosciences/HiFi-human-WGS-WDL <pre><code>static_resources/ ├── genes │ ├── buildGenes │ ├── ensembl.chrom.tsv │ ├── ensembl.hgncSymbol.tsv │ ├── mart_export.txt │ ├── ncbiGene.ensembl.tsv │ └── README ├── GRCh38 │ ├── annotation │ │ ├── GRCh38.oddRegions.bed.gz │ │ ├── GRCh38.oddRegions.bed.gz.tbi │ │ ├── GRCh38.repeats.bed.gz │ │ ├── GRCh38.repeats.bed.gz.tbi │ │ ├── GRCh38.segdups.bed.gz │ │ ├── GRCh38.segdups.bed.gz.tbi │ │ └── README │ ├── ensembl.GRCh38.101.reformatted.gff3.gz │ ├── hificnv │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz │ │ ├── cnv.excluded_regions.common_50.hg38.bed.gz.tbi │ │ ├── expected_cn.hg38.XX.bed │ │ ├── expected_cn.hg38.XY.bed │ │ └── README │ ├── human_GRCh38_no_alt_analysis_set.chr_lengths.txt │ ├── human_GRCh38_no_alt_analysis_set.dict │ ├── human_GRCh38_no_alt_analysis_set.fasta │ ├── human_GRCh38_no_alt_analysis_set.fasta.fai │ ├── human_GRCh38_no_alt_analysis_set.pbsv_splits.json │ ├── human_GRCh38_no_alt_analysis_set.ploidy.txt │ ├── human_GRCh38_no_alt_analysis_set.trf.bed │ ├── pharmcat │ │ ├── pharmcat_positions_README.txt │ │ ├── pharmcat_positions.vcf.bgz │ │ └── pharmcat_positions.vcf.bgz.csi │ ├── README │ ├── slivar_gnotate │ │ ├── add_nhomalt.py │ │ ├── buildChrX │ │ ├── buildGnomad │ │ ├── gnomad.hg38.v3.custom.v1.zip │ │ ├── hprc.deepvariant.glnexus.hg38.v1.zip │ │ ├── hprc_samples.txt │ │ ├── hprc_sex.txt │ │ └── README │ ├── sv_pop_vcfs │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz │ │ ├── EEE_SV-Pop_1.ALL.sites.20181204.vcf.gz.tbi │ │ ├── hprc.GRCh38.pbsv.vcf.gz │ │ ├── hprc.GRCh38.pbsv.vcf.gz.tbi │ │ ├── hprc_samples.txt │ │ ├── nstd166.GRCh38.variant_call.vcf.gz │ │ ├── nstd166.GRCh38.variant_call.vcf.gz.tbi │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz │ │ ├── ont_sv_high_confidence_SVs.sorted.vcf.gz.tbi │ │ └── README │ └── trgt │ ├── human_GRCh38_no_alt_analysis_set.trgt.v0.3.4.bed │ └── README ├── hpo │ ├── buildHpo │ ├── ensembl.hpoPhenotype.tsv │ ├── ensembl.inheritance.tsv │ ├── genes_to_phenotype.txt │ ├── hpoDagModifications.add.txt │ ├── hpoDagModifications.remove.txt │ ├── hpoDag.txt │ ├── hpoTerms.txt │ └── README └── slivar ├── clinvar_gene_desc.20221214T183140.txt ├── lof_lookup.v2.1.1.txt ├── README └── slivar-functions.v0.2.8.js 10 directories, 63 files</code></pre>
description: {"references": ["10.1038/s41588-021-00865-4", "10.1016/j.cell.2018.12.019", "10.1038/s41586-020-2287-8", "10.1038/s41586-020-2308-7"]}
DOI: 10.5281/zenodo.13275469
title: Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography

description: This is a new version of Vp and Vs models for paper titled "Three‐Dimensional Crustal Channel Flows Beneath the Southeastern Tibetan Plateau Revealed by Full‐Waveform Ambient Noise Tomography" published in Geophysical Research Letters.

Modification history: new Vs model includes from surface downward to 120 km depth.

Please ignore the models in version 1 and 2.
DOI: 10.5281/zenodo.13275470
title: Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography
DOI: 10.5281/zenodo.13287235
title: Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography
DOI: 10.15139/s3/nh9syd
title: AKZZ-3

description: AKZZ-3 Data
DOI: 10.6084/m9.figshare.28462421
title: Energy opinion classification models

description: The six models (one for each energy technology) are trained on a Tesla V100 GPU, by fine-tuning the RoBERTa transformer. The table below shows the size of the training set used for each technology, after balancing augmentation, and the model performance, evaluated using the Matthews Correlation Coefficient, ideal for binary classification problems.Model Number of training tweets(support ; oppose) Matthews Correlation CoefficientCoal (3918 ; 4074) 0.74Natural Gas (2743 ; 2245) 0.89Nuclear (9012 ; 10731) 0.90Hydropower (7587 ; 5640) 0.91Solar (13557 ; 13480) 0.89Wind (15173 ; 15158) 0.90<br>The presented models may be improved upon, notably for coal energy classification. However, they can all be deemed to be quite efficient at correctly predicting the support category prevalence for a large-scale study as performed in this study. The model uncertainties are computed using the false positive and false negative rates observed during training, as indicated by the Matthew Correlation Coefficient measure.
DOI: 10.6084/m9.figshare.28462421.v1
title: Energy opinion classification models

description: The six models (one for each energy technology) are trained on a Tesla V100 GPU, by fine-tuning the RoBERTa transformer. The table below shows the size of the training set used for each technology, after balancing augmentation, and the model performance, evaluated using the Matthews Correlation Coefficient, ideal for binary classification problems.Model Number of training tweets(support ; oppose) Matthews Correlation CoefficientCoal (3918 ; 4074) 0.74Natural Gas (2743 ; 2245) 0.89Nuclear (9012 ; 10731) 0.90Hydropower (7587 ; 5640) 0.91Solar (13557 ; 13480) 0.89Wind (15173 ; 15158) 0.90<br>The presented models may be improved upon, notably for coal energy classification. However, they can all be deemed to be quite efficient at correctly predicting the support category prevalence for a large-scale study as performed in this study. The model uncertainties are computed using the false positive and false negative rates observed during training, as indicated by the Matthew Correlation Coefficient measure.