cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23700476
title: Additional file 2 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 2. QMSim parameter files for simul_Ne20_200QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700476.v1
title: Additional file 2 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 2. QMSim parameter files for simul_Ne20_200QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700479
title: Additional file 3 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 3. QMSim parameter files for simul_Ne20_200QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700479.v1
title: Additional file 3 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 3. QMSim parameter files for simul_Ne20_200QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700482
title: Additional file 4 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 4. QMSim parameter files for simul_Ne20_2000QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700482.v1
title: Additional file 4 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 4. QMSim parameter files for simul_Ne20_2000QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700485
title: Additional file 5 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 5. QMSim parameter files for simul_Ne20_2000QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700485.v1
title: Additional file 5 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 5. QMSim parameter files for simul_Ne20_2000QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700488
title: Additional file 6 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 6. QMSim parameter files for simul_Ne20_2000QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700488.v1
title: Additional file 6 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 6. QMSim parameter files for simul_Ne20_2000QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700491
title: Additional file 7 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 7. QMSim parameter files for simul_Ne200_200QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700491.v1
title: Additional file 7 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 7. QMSim parameter files for simul_Ne200_200QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700494
title: Additional file 8 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 8. QMSim parameter files for simul_Ne200_200QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700497.v1
title: Additional file 9 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 9. QMSim parameter files for simul_Ne200_200QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700494.v1
title: Additional file 8 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 8. QMSim parameter files for simul_Ne200_200QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700497
title: Additional file 9 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 9. QMSim parameter files for simul_Ne200_200QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700500
title: Additional file 10 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 10. QMSim parameter files for simul_Ne200_2000QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700500.v1
title: Additional file 10 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 10. QMSim parameter files for simul_Ne200_2000QTL_h2_0.3.
DOI: 10.6084/m9.figshare.23700503
title: Additional file 11 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 11. QMSim parameter files for simul_Ne200_2000QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700503.v1
title: Additional file 11 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 11. QMSim parameter files for simul_Ne200_2000QTL_h2_0.9.
DOI: 10.6084/m9.figshare.23700506
title: Additional file 12 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 12. QMSim parameter files for simul_Ne200_2000QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700506.v1
title: Additional file 12 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 12. QMSim parameter files for simul_Ne200_2000QTL_h2_0.99.
DOI: 10.6084/m9.figshare.23700515
title: Additional file 15 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 15: Table S3. This table contains 5 sheets with the prediction accuracy and b1 values of each scenario Ne20 Q200, Ne20 Q2000, Ne200 Q200, and Ne200 Q2000, and PBLUP.
DOI: 10.6084/m9.figshare.23700515.v1
title: Additional file 15 of Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

description: Additional file 15: Table S3. This table contains 5 sheets with the prediction accuracy and b1 values of each scenario Ne20 Q200, Ne20 Q2000, Ne200 Q200, and Ne200 Q2000, and PBLUP.
DOI: 10.6084/m9.figshare.23700540
title: Additional file 1 of All professions can benefit — a mixed-methods study on simulation-based teamwork training for operating room teams

description: Additional file 1. Dataset.
DOI: 10.6084/m9.figshare.23700540.v1
title: Additional file 1 of All professions can benefit — a mixed-methods study on simulation-based teamwork training for operating room teams

description: Additional file 1. Dataset.
DOI: 10.6084/m9.figshare.23700563
title: Additional file 2 of Xylaria furcata reconsidered and nine resembling species

description: Additional file 2: Aligned ITS dataset.
DOI: 10.6084/m9.figshare.23700563.v1
title: Additional file 2 of Xylaria furcata reconsidered and nine resembling species

description: Additional file 2: Aligned ITS dataset.
DOI: 10.6084/m9.figshare.23700566
title: Additional file 3 of Xylaria furcata reconsidered and nine resembling species

description: Additional file 3: Aligned concatenated dataset of α-ACT, RPB2, and β-TUB (RPB2-TUB-ACT dataset).
DOI: 10.6084/m9.figshare.23700566.v1
title: Additional file 3 of Xylaria furcata reconsidered and nine resembling species

description: Additional file 3: Aligned concatenated dataset of α-ACT, RPB2, and β-TUB (RPB2-TUB-ACT dataset).
DOI: 10.6084/m9.figshare.23700585
title: Additional file 2 of Genomic analyses of germline and somatic variation in high-grade serous ovarian cancer

description: Additional file 2.
DOI: 10.6084/m9.figshare.23700585.v1
title: Additional file 2 of Genomic analyses of germline and somatic variation in high-grade serous ovarian cancer

description: Additional file 2.
DOI: 10.6084/m9.figshare.23700587
title: Additional file 1 of Landscape of germline pathogenic variants in patients with dual primary breast and lung cancer

description: Additional file 1. Table S1: Comparison of breast cancer statuses in EGFR-mutated versus non-EGFR-mutated lung adenocarcinoma patients. Table S2. List of well-evidenced ClinVar null variants in genes with PVS1 variants. Table S3. List of ClinVar variants with the same amino acid change as PS1 variants. Table S4. List of ClinVar variants with the same modified residue as PM5 variants. Table S5. Pathogenicity predictions for various in silico prediction software for PP3 variants. Table S6. Frequency and Fisher's Exact Test results for three case cohorts and two control cohorts, for all pathogenic or likely pathogenic variants from this study. Table S7. Pathways of genes from all pathogenic and likely pathogenic variants in this study. Table S8. List of variants of uncertain significance and their corresponding ACMG/AMP criteria. Table S9. The number of variants of each type detected in each patient with dual primary breast and lung cancer. Table S10. Lack of association between the presence of pathogenic or likely pathogenic variants, and EGFR mutation statuses. Table S11: Cancers and cancer predisposition syndromes in ClinVar and their associated genes.
DOI: 10.6084/m9.figshare.23700587.v1
title: Additional file 1 of Landscape of germline pathogenic variants in patients with dual primary breast and lung cancer

description: Additional file 1. Table S1: Comparison of breast cancer statuses in EGFR-mutated versus non-EGFR-mutated lung adenocarcinoma patients. Table S2. List of well-evidenced ClinVar null variants in genes with PVS1 variants. Table S3. List of ClinVar variants with the same amino acid change as PS1 variants. Table S4. List of ClinVar variants with the same modified residue as PM5 variants. Table S5. Pathogenicity predictions for various in silico prediction software for PP3 variants. Table S6. Frequency and Fisher's Exact Test results for three case cohorts and two control cohorts, for all pathogenic or likely pathogenic variants from this study. Table S7. Pathways of genes from all pathogenic and likely pathogenic variants in this study. Table S8. List of variants of uncertain significance and their corresponding ACMG/AMP criteria. Table S9. The number of variants of each type detected in each patient with dual primary breast and lung cancer. Table S10. Lack of association between the presence of pathogenic or likely pathogenic variants, and EGFR mutation statuses. Table S11: Cancers and cancer predisposition syndromes in ClinVar and their associated genes.
DOI: 10.6084/m9.figshare.23700590
title: Additional file 1 of A late-surviving phytosaur from the northern Atlantic rift reveals climate constraints on Triassic reptile biogeography

description: Additional file 1.
DOI: 10.6084/m9.figshare.23700590.v1
title: Additional file 1 of A late-surviving phytosaur from the northern Atlantic rift reveals climate constraints on Triassic reptile biogeography

description: Additional file 1.
DOI: 10.21233/xx98-0395
title: Santa Cruz vertebrate fauna dataset

description: Raw data for the Santa Cruz vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/66f8-2t46
title: Le Moé pollen dataset

description: Raw data for the Le Moé pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/acac-7v16
title: Berkhout pollen dataset

description: Raw data for the Berkhout pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gdyv-8q55
title: Selima pollen dataset

description: Raw data for the Selima pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kv90-r430
title: Potou pollen dataset

description: Raw data for the Potou pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6b39-dj54
title: Grootebroek Zesstedenweg plant macrofossil dataset

description: Raw data for the Grootebroek Zesstedenweg plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5s0v-gm13
title: Beets pollen dataset

description: Raw data for the Beets pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dj0c-0r67
title: Brouwershavense Gat pollen dataset

description: Raw data for the Brouwershavense Gat pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f8zc-z678
title: Fort Portal pollen dataset

description: Raw data for the Fort Portal pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9acc-9t62
title: Labaz lake pollen dataset

description: Raw data for the Labaz lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pj2e-9e41
title: Vereda São José pollen dataset

description: Raw data for the Vereda São José pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6asp-6c38
title: Venhuizen De spuiter pollen dataset

description: Raw data for the Venhuizen De spuiter pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/53cx-b012
title: Venhuizen De spuiter plant macrofossil dataset

description: Raw data for the Venhuizen De spuiter plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ar6f-j160
title: Filim pollen dataset

description: Raw data for the Filim pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/aqea-vy78
title: Wezmeh cave pollen dataset

description: Raw data for the Wezmeh cave pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9wcq-xp25
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/djq2-st38
title: Gerzensee pollen dataset

description: Raw data for the Gerzensee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/sn6j-fk49
title: El Atrun pollen dataset

description: Raw data for the El Atrun pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8wyr-am40
title: Muchoya Swamp pollen dataset

description: Raw data for the Muchoya Swamp pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gxky-pt50
title: Crescent Island Crater Lake pollen dataset

description: Raw data for the Crescent Island Crater Lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mekb-fq29
title: Rosenbergdalen plant macrofossil dataset

description: Raw data for the Rosenbergdalen plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/27rz-1042
title: Biddingringweg pollen dataset

description: Raw data for the Biddingringweg pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kdg9-dp10
title: Torbiera di Alice pollen dataset

description: Raw data for the Torbiera di Alice pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zb66-s239
title: Tüttensee pollen dataset

description: Raw data for the Tüttensee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fgpg-vz79
title: Lin Can Moss pollen dataset

description: Raw data for the Lin Can Moss pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/b7p5-6x44
title: Labaz lake pollen dataset

description: Raw data for the Labaz lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0fh5-ry64
title: Lake Ossa 2 pollen dataset

description: Raw data for the Lake Ossa 2 pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gzaf-9762
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gpqj-3z71
title: Lake Topptjønna pollen dataset

description: Raw data for the Lake Topptjønna pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/krch-5m44
title: Enkhuizen Lange Tuinstraat plant macrofossil dataset

description: Raw data for the Enkhuizen Lange Tuinstraat plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ppx7-wh49
title: Uğurlu Höyük vertebrate fauna dataset

description: Raw data for the Uğurlu Höyük vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/acn6-r807
title: Lake Kimili pollen dataset

description: Raw data for the Lake Kimili pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3a17-2216
title: San Bernardino Cienega pollen dataset

description: Raw data for the San Bernardino Cienega pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4gqy-q895
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/y3ab-tt94
title: Land van Vollenhove pollen dataset

description: Raw data for the Land van Vollenhove pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bt1a-dr11
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qcw2-2r71
title: Babocamari Cienega charcoal dataset

description: Raw data for the Babocamari Cienega charcoal dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.6420029
title: Dataset for the oxidation and gas-particle processes in particulate nitrate formation study

description: A dataset for the study on the oxidation and gas-particle processes in particulate nitrate formation.
DOI: 10.5281/zenodo.6420028
title: Dataset for the oxidation and gas-particle processes in particulate nitrate formation study

description: A dataset for the study on the oxidation and gas-particle processes in particulate nitrate formation.
DOI: 10.21233/7fp9-3n25
title: Lake Chad Basin pollen dataset

description: Raw data for the Lake Chad Basin pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1h8b-vx37
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8ewa-1369
title: Agardhdalen pollen dataset

description: Raw data for the Agardhdalen pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qpq9-f997
title: Rosenbergdalen pollen dataset

description: Raw data for the Rosenbergdalen pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m5qc-p903
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/84tk-e354
title: Lake Svityaz pollen dataset

description: Raw data for the Lake Svityaz pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1rsp-gr21
title: Eesveen pollen dataset

description: Raw data for the Eesveen pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ctkk-6p15
title: Lake Diamond charcoal dataset

description: Raw data for the Lake Diamond charcoal dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/agh7-kf16
title: Mamontovy Khayata pollen dataset

description: Raw data for the Mamontovy Khayata pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5mz1-5h70
title: Timan Ridge pollen dataset

description: Raw data for the Timan Ridge pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vbg8-dt50
title: Enkhuizen Raamstraat pollen dataset

description: Raw data for the Enkhuizen Raamstraat pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fvac-3y54
title: Beerta pollen dataset

description: Raw data for the Beerta pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/v7xd-qe60
title: Klaus Lagoon pollen dataset

description: Raw data for the Klaus Lagoon pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/q0f4-t521
title: Lodoba pollen dataset

description: Raw data for the Lodoba pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/v2bk-9659
title: Labaz lake pollen dataset

description: Raw data for the Labaz lake pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.7269500
title: RefSeq Data & Scripts for ORF dominance

description: This is the fileset for the article "Protein-coding potential of RNAs measured by open reading frame dominance" by Y.Suenaga, et al.<br><br>This fileset consists of the datasets of human (Feb 2015 and April 2018) and 8 spicies given in the article.<br><br>[Dataset]<br>- RefSeq gzipped fasta files (data/RefSeq)<br>- Scripts to generate open reading frame (ORF) dominance score and other information from RefSeq data. (script)<br><br>[How to Run Scripts]<br>- 1. Unpack a tar.xz file.<br>- 2. Run script/01_MergeFa.sh.<br>- 3. Run script/02_ORFdominance.sh.<br>- 4. Run script/03_Format.sh<br>Under data/03_Format, you can get NM.txt and NR.txt as the result.<br><br>[Note]<br>- Scripts require Linux, bash, and perl.<br>- Scripts use randomized data. Consequently, results differ slightly for the same input data.<br>- Scripts are the same files in "Scripts for ORF dominance" (DOI: 10.6084/m9.figshare.7269518).<br><br><br>
DOI: 10.6084/m9.figshare.7269500.v1
title: RefSeq Data & Scripts for ORF dominance

description: This is the fileset for the article "Protein-coding potential of RNAs measured by open reading frame dominance" by Y.Suenaga, et al.<br><br>This fileset consists of the datasets of human (Feb 2015 and April 2018) and 8 spicies given in the article.<br><br>[Dataset]<br>- RefSeq gzipped fasta files (data/RefSeq)<br>- Scripts to generate open reading frame (ORF) dominance score and other information from RefSeq data. (script)<br><br>[How to Run Scripts]<br>- 1. Unpack a tar.xz file.<br>- 2. Run script/01_MergeFa.sh.<br>- 3. Run script/02_ORFdominance.sh.<br>- 4. Run script/03_Format.sh<br>Under data/03_Format, you can get NM.txt and NR.txt as the result.<br><br>[Note]<br>- Scripts require Linux, bash, and perl.<br>- Scripts use randomized data. Consequently, results differ slightly for the same input data.<br>- Scripts are the same files in "Scripts for ORF dominance" (DOI: 10.6084/m9.figshare.7269518).<br><br><br>