cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7935044.v1
title: gVCF_NA11832

description: 1000 Genomes gVCF mapped to hs37d5 for NA11832. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935050.v1
title: gVCF_NA20296

description: 1000 Genomes gVCF mapped to hs37d5 for NA20296. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935020
title: gVCF_NA11830

description: 1000 Genomes gVCF mapped to hs37d5 for NA11830. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935023
title: gVCF_NA20291

description: 1000 Genomes gVCF mapped to hs37d5 for NA20291. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935026
title: gVCF_HG02675

description: 1000 Genomes gVCF mapped to hs37d5 for HG02675. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935056.v1
title: gVCF_NA20298

description: 1000 Genomes gVCF mapped to hs37d5 for NA20298. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935020.v1
title: gVCF_NA11830

description: 1000 Genomes gVCF mapped to hs37d5 for NA11830. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935026.v1
title: gVCF_HG02675

description: 1000 Genomes gVCF mapped to hs37d5 for HG02675. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935029.v1
title: gVCF_NA11831

description: 1000 Genomes gVCF mapped to hs37d5 for NA11831. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935014
title: gVCF_NA20289

description: 1000 Genomes gVCF mapped to hs37d5 for NA20289. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935002
title: gVCF_NA20287

description: 1000 Genomes gVCF mapped to hs37d5 for NA20287. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935011
title: gVCF_HG02667

description: 1000 Genomes gVCF mapped to hs37d5 for HG02667. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935023.v1
title: gVCF_NA20291

description: 1000 Genomes gVCF mapped to hs37d5 for NA20291. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934999
title: gVCF_NA20282

description: 1000 Genomes gVCF mapped to hs37d5 for NA20282. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935002.v1
title: gVCF_NA20287

description: 1000 Genomes gVCF mapped to hs37d5 for NA20287. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935014.v1
title: gVCF_NA20289

description: 1000 Genomes gVCF mapped to hs37d5 for NA20289. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934996
title: gVCF_NA11829

description: 1000 Genomes gVCF mapped to hs37d5 for NA11829. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934999.v1
title: gVCF_NA20282

description: 1000 Genomes gVCF mapped to hs37d5 for NA20282. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7935011.v1
title: gVCF_HG02667

description: 1000 Genomes gVCF mapped to hs37d5 for HG02667. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934981
title: gVCF_NA10851

description: 1000 Genomes gVCF mapped to hs37d5 for NA10851. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934993
title: gVCF_HG02666

description: 1000 Genomes gVCF mapped to hs37d5 for HG02666. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934978
title: gVCF_NA20278

description: 1000 Genomes gVCF mapped to hs37d5 for NA20278. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934984
title: gVCF_NA20281

description: 1000 Genomes gVCF mapped to hs37d5 for NA20281. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934993.v1
title: gVCF_HG02666

description: 1000 Genomes gVCF mapped to hs37d5 for HG02666. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934975
title: gVCF_HG02661

description: 1000 Genomes gVCF mapped to hs37d5 for HG02661. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934981.v1
title: gVCF_NA10851

description: 1000 Genomes gVCF mapped to hs37d5 for NA10851. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934966
title: gVCF_NA20276

description: 1000 Genomes gVCF mapped to hs37d5 for NA20276. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934975.v1
title: gVCF_HG02661

description: 1000 Genomes gVCF mapped to hs37d5 for HG02661. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934978.v1
title: gVCF_NA20278

description: 1000 Genomes gVCF mapped to hs37d5 for NA20278. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934960
title: Nursing Home Compare data for the paper "Factoring a 2 x 2 contingency table"

description: These are First Quarter, 2018 data retrieved from the Nursing Home Compare website, https://data.medicare.gov/data/nursing-home-compare<br>
DOI: 10.6084/m9.figshare.7934960.v1
title: Nursing Home Compare data for the paper "Factoring a 2 x 2 contingency table"

description: These are First Quarter, 2018 data retrieved from the Nursing Home Compare website, https://data.medicare.gov/data/nursing-home-compare<br>
DOI: 10.6084/m9.figshare.7934963
title: Proyecto P01.4. Planos técnicos

description: Ficha de la Entrega P01.4 del proyecto. Fase de elaboración de los planos de la hebilla.
DOI: 10.6084/m9.figshare.7934984.v1
title: gVCF_NA20281

description: 1000 Genomes gVCF mapped to hs37d5 for NA20281. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934951
title: gVCF_NA20274

description: 1000 Genomes gVCF mapped to hs37d5 for NA20274. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934957
title: gVCF_HG02660

description: 1000 Genomes gVCF mapped to hs37d5 for HG02660. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934963.v1
title: Proyecto P01.4. Planos técnicos

description: Ficha de la Entrega P01.4 del proyecto. Fase de elaboración de los planos de la hebilla.
DOI: 10.6084/m9.figshare.7934966.v1
title: gVCF_NA20276

description: 1000 Genomes gVCF mapped to hs37d5 for NA20276. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934945
title: gVCF_NA07347

description: 1000 Genomes gVCF mapped to hs37d5 for NA07347. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934948
title: Proyecto P01.3. Imágenes renderizadas

description: Ficha de la Entrega P01.3 del proyecto. Fase de obtención de imárenes fororrealísticas de la hebilla
DOI: 10.6084/m9.figshare.7934951.v1
title: gVCF_NA20274

description: 1000 Genomes gVCF mapped to hs37d5 for NA20274. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934957.v1
title: gVCF_HG02660

description: 1000 Genomes gVCF mapped to hs37d5 for HG02660. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934942
title: R functions for Mahalanobis' distance and related effect sizes

description: Version 8c<br><br>Two simple R functions to compute multivariate standardized differences between two groups (Mahalanobis’ <i>D</i>), either from raw data or from Cohen's <i>d</i> values and correlations. The functions return uncorrected and bias-corrected values of <i>D</i>, exact confidence intervals, bootstrapped confidence intervals (only from raw data), heterogeneity coefficients, and a number of additional diagnostics and effect sizes. Disattenuated estimates can also be computed if desired.<br><br><br>See: Del Giudice, M. (2020). Measuring sex differences and similarities. In D. P. VanderLaan & W. I. Wong (Eds.), Gender and sexuality development: Contemporary theory and research. New York, NY: Springer.
DOI: 10.6084/m9.figshare.7934948.v1
title: Proyecto P01.3. Imágenes renderizadas

description: Ficha de la Entrega P01.3 del proyecto. Fase de obtención de imárenes fororrealísticas de la hebilla
DOI: 10.6084/m9.figshare.7934933
title: gVCF_NA20127

description: 1000 Genomes gVCF mapped to hs37d5 for NA20127. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934945.v1
title: gVCF_NA07347

description: 1000 Genomes gVCF mapped to hs37d5 for NA07347. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934924
title: Supplementary_fasta_files.tar.gz

description: Assemblies and translated ORFs generated from the Lake Biwa viromes (./01_Lake_Biwa_viromes) and the viral genomic databases (RVG and EVG) compiled in the study (./02_Reference_databases).<br>.├── 01_Lake_Biwa_viromes│ ├── LBVC.fna│ ├── LBVG.fna│ └── translated_ORFs│ ├── LBVC_ORFs.faa│ └── LBVG_ORFs.faa└── 02_Reference_databases ├── EVG.fna └── RVG.fna
DOI: 10.6084/m9.figshare.7934930
title: gVCF_HG02658

description: 1000 Genomes gVCF mapped to hs37d5 for HG02658. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934933.v1
title: gVCF_NA20127

description: 1000 Genomes gVCF mapped to hs37d5 for NA20127. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934918
title: gVCF_NA20126

description: 1000 Genomes gVCF mapped to hs37d5 for NA20126. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934924.v1
title: Supplementary_fasta_files.tar.gz

description: Assemblies and translated ORFs generated from the Lake Biwa viromes (./01_Lake_Biwa_viromes) and the viral genomic databases (RVG and EVG) compiled in the study (./02_Reference_databases).<br>.├── 01_Lake_Biwa_viromes│ ├── LBVC.fna│ ├── LBVG.fna│ └── translated_ORFs│ ├── LBVC_ORFs.faa│ └── LBVG_ORFs.faa└── 02_Reference_databases ├── EVG.fna └── RVG.fna
DOI: 10.6084/m9.figshare.7934930.v1
title: gVCF_HG02658

description: 1000 Genomes gVCF mapped to hs37d5 for HG02658. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934915
title: gVCF_NA07056

description: 1000 Genomes gVCF mapped to hs37d5 for NA07056. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934918.v1
title: gVCF_NA20126

description: 1000 Genomes gVCF mapped to hs37d5 for NA20126. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934942.v1
title: R functions for Mahalanobis' distance and related effect sizes (v.8c)

description: Two simple R functions to compute multivariate standardized differences between two groups (Mahalanobis’ <i>D</i>), either from raw data or from Cohen's <i>d</i> values and correlations. The functions return uncorrected and bias-corrected values of <i>D</i>, exact confidence intervals, bootstrapped confidence intervals (only from raw data), heterogeneity coefficients, and a number of additional diagnostics and effect sizes. Disattenuated estimates can also be computed if desired.<br><br>NOTE: This version (8c) fixes a bug in version 8. Function maha.summary() returned an error when d_values was a row vector. <br><br>See: Del Giudice, M. (2019). Measuring sex differences and similarities. In D. P. VanderLaan & W. I. Wong (Eds.), Gender and sexuality development: Contemporary theory and research. New York, NY: Springer.
DOI: 10.6084/m9.figshare.7934909
title: gVCF_HG02657

description: 1000 Genomes gVCF mapped to hs37d5 for HG02657. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934915.v1
title: gVCF_NA07056

description: 1000 Genomes gVCF mapped to hs37d5 for NA07056. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934894
title: Proyecto P01.1 Bocetos

description: Ficha de la Entrega P01.1. fase de bocetaje del proyecto hebilla
DOI: 10.6084/m9.figshare.7934906
title: gVCF_NA19985

description: 1000 Genomes gVCF mapped to hs37d5 for NA19985. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934909.v1
title: gVCF_HG02657

description: 1000 Genomes gVCF mapped to hs37d5 for HG02657. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934885
title: gVCF_NA19984

description: 1000 Genomes gVCF mapped to hs37d5 for NA19984. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934891
title: gVCF_NA07048

description: 1000 Genomes gVCF mapped to hs37d5 for NA07048. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934894.v1
title: Proyecto P01.1 Bocetos

description: Ficha de la Entrega P01.1. fase de bocetaje del proyecto hebilla
DOI: 10.6084/m9.figshare.7934885.v1
title: gVCF_NA19984

description: 1000 Genomes gVCF mapped to hs37d5 for NA19984. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934888
title: gVCF_HG02655

description: 1000 Genomes gVCF mapped to hs37d5 for HG02655. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934906.v1
title: gVCF_NA19985

description: 1000 Genomes gVCF mapped to hs37d5 for NA19985. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934870
title: gVCF_HG02654

description: 1000 Genomes gVCF mapped to hs37d5 for HG02654. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934876
title: Analysis of anammox microbial community with R

description: Analysis of anammox microbial community using R
DOI: 10.6084/m9.figshare.7934879
title: gVCF_NA07037

description: 1000 Genomes gVCF mapped to hs37d5 for NA07037. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934879.v1
title: gVCF_NA07037

description: 1000 Genomes gVCF mapped to hs37d5 for NA07037. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934888.v1
title: gVCF_HG02655

description: 1000 Genomes gVCF mapped to hs37d5 for HG02655. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934891.v1
title: gVCF_NA07048

description: 1000 Genomes gVCF mapped to hs37d5 for NA07048. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934858
title: gVCF_NA07000

description: 1000 Genomes gVCF mapped to hs37d5 for NA07000. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934861
title: Ficha Proyecto P01. Hebilla

description: Ficha resumida de actividad docente basada en ABP. Se recoge una descripción sucinta, el calendario planificado y el listado de todos los contenidos de la asignatura Geometría Descriptiva de primero de Enseñanzas Artísticas Superiores.
DOI: 10.6084/m9.figshare.7934864
title: gVCF_NA19982

description: 1000 Genomes gVCF mapped to hs37d5 for NA19982. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934870.v1
title: gVCF_HG02654

description: 1000 Genomes gVCF mapped to hs37d5 for HG02654. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934867
title: Dataset for: Integrating Multiple-Domain Rules for Disease Classification

description: In Psychiatry, clinicians use criteria sets from the Diagnostic and Statistical Manual of Mental Disorders (DSM) to diagnose mental disorders. Most criteria sets have several symptom domains and in order to be diagnosed, an individual must meet the minimum number of symptoms required by each domain. Some efforts are now focused on adding biomarkers to these symptom domains to facilitate detection of and highlight the neurobiological basis of psychiatric disorders. Thus, a new criteria set may consist of both clinical symptom counts in several domains and continuous biomarkers. In this paper, we propose a method to integrate classification rules from multiple data sources to estimate an optimal criteria set. Each domain-specific rule can be counts of symptoms, a linear function of symptoms, or even nonparametric. The overall classification rule is the intersection of these domain-specific rules. Based on examining the expected population loss function, we propose two iterative algorithms using either support vector machines or logistic regression to fit intersection rules consistent with the DSM. In simulation studies, these proposed methods are comparable with the oracle decision rule. The methods are applied to the motivating study to construct a criteria set for Complicated Grief. The developed criteria set shows a substantial improvement in the sensitivity and specificity compared to the current standards on an independent validation study.
DOI: 10.6084/m9.figshare.7934858.v1
title: gVCF_NA07000

description: 1000 Genomes gVCF mapped to hs37d5 for NA07000. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934861.v1
title: Ficha Proyecto P01. Hebilla

description: Ficha resumida de actividad docente basada en ABP. Se recoge una descripción sucinta, el calendario planificado y el listado de todos los contenidos de la asignatura Geometría Descriptiva de primero de Enseñanzas Artísticas Superiores.
DOI: 10.6084/m9.figshare.7934864.v1
title: gVCF_NA19982

description: 1000 Genomes gVCF mapped to hs37d5 for NA19982. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934867.v1
title: Dataset for: Integrating Multiple-Domain Rules for Disease Classification

description: In Psychiatry, clinicians use criteria sets from the Diagnostic and Statistical Manual of Mental Disorders (DSM) to diagnose mental disorders. Most criteria sets have several symptom domains and in order to be diagnosed, an individual must meet the minimum number of symptoms required by each domain. Some efforts are now focused on adding biomarkers to these symptom domains to facilitate detection of and highlight the neurobiological basis of psychiatric disorders. Thus, a new criteria set may consist of both clinical symptom counts in several domains and continuous biomarkers. In this paper, we propose a method to integrate classification rules from multiple data sources to estimate an optimal criteria set. Each domain-specific rule can be counts of symptoms, a linear function of symptoms, or even nonparametric. The overall classification rule is the intersection of these domain-specific rules. Based on examining the expected population loss function, we propose two iterative algorithms using either support vector machines or logistic regression to fit intersection rules consistent with the DSM. In simulation studies, these proposed methods are comparable with the oracle decision rule. The methods are applied to the motivating study to construct a criteria set for Complicated Grief. The developed criteria set shows a substantial improvement in the sensitivity and specificity compared to the current standards on an independent validation study.
DOI: 10.6084/m9.figshare.7934846
title: gVCF_NA06994

description: 1000 Genomes gVCF mapped to hs37d5 for NA06994. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934849
title: Estatistica - Grupo 09.xlsx

description: Quantidade de veículos (automóveis), abrangendo as cinco maiores cidades por estado do território brasileiro.<br>Buscando analisar se o PIB afeta diretamente a demanda de automóveis.
DOI: 10.6084/m9.figshare.7934852
title: gVCF_NA19923

description: 1000 Genomes gVCF mapped to hs37d5 for NA19923. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934855
title: gVCF_HG02652

description: 1000 Genomes gVCF mapped to hs37d5 for HG02652. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934840
title: gVCF_HG02651

description: 1000 Genomes gVCF mapped to hs37d5 for HG02651. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934852.v1
title: gVCF_NA19923

description: 1000 Genomes gVCF mapped to hs37d5 for NA19923. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934855.v1
title: gVCF_HG02652

description: 1000 Genomes gVCF mapped to hs37d5 for HG02652. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934837
title: gVCF_NA19922

description: 1000 Genomes gVCF mapped to hs37d5 for NA19922. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934840.v1
title: gVCF_HG02651

description: 1000 Genomes gVCF mapped to hs37d5 for HG02651. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934846.v1
title: gVCF_NA06994

description: 1000 Genomes gVCF mapped to hs37d5 for NA06994. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934849.v1
title: Estatistica - Grupo 09.xlsx

description: Quantidade de veículos (automóveis), abrangendo as cinco maiores cidades por estado do território brasileiro.<br>Buscando analisar se o PIB afeta diretamente a demanda de automóveis.
DOI: 10.6084/m9.figshare.7934741
title: gVCF_NA19921

description: 1000 Genomes gVCF mapped to hs37d5 for NA19921. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934753
title: gVCF_NA06986

description: 1000 Genomes gVCF mapped to hs37d5 for NA06986. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934786
title: gVCF_HG02649

description: 1000 Genomes gVCF mapped to hs37d5 for HG02649. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934825
title: gVCF_NA06989

description: 1000 Genomes gVCF mapped to hs37d5 for NA06989. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934837.v1
title: gVCF_NA19922

description: 1000 Genomes gVCF mapped to hs37d5 for NA19922. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934738
title: gVCF_HG02648

description: 1000 Genomes gVCF mapped to hs37d5 for HG02648. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934741.v1
title: gVCF_NA19921

description: 1000 Genomes gVCF mapped to hs37d5 for NA19921. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934753.v1
title: gVCF_NA06986

description: 1000 Genomes gVCF mapped to hs37d5 for NA06986. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934825.v1
title: gVCF_NA06989

description: 1000 Genomes gVCF mapped to hs37d5 for NA06989. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934681
title: gVCF_NA06985

description: 1000 Genomes gVCF mapped to hs37d5 for NA06985. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934708
title: gVCF_HG02645

description: 1000 Genomes gVCF mapped to hs37d5 for HG02645. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934738.v1
title: gVCF_HG02648

description: 1000 Genomes gVCF mapped to hs37d5 for HG02648. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7934675
title: gVCF_NA19920

description: 1000 Genomes gVCF mapped to hs37d5 for NA19920. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307