cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7898312.v1
title: Extremely elevated IL-18 levels may help distinguish systemic-onset juvenile idiopathic arthritis from other febrile diseases

description: The aim of this research was to explore whether IL-18 can be a serological marker for the diagnosis of systemic-onset juvenile idiopathic arthritis (sJIA). A total of 23 sJIA patients (13 males, median age 8.2), 20 acute lymphoblastic leukemia (ALL) patients, 18 patients with severe infections (SIF), 26 Kawasaki disease (KD) patients, 18 juvenile idiopathic arthritis (JIA) patients, and 25 healthy control patients were selected for this study. Enzyme-linked immunosorbent assays (ELISAs) were used to determine the serum concentrations of the S100A8, S100A9, and IL-6 proteins. The serum IL-18 levels were detected by a cytometric bead array (CBA). The serum IL-6 concentrations in various disease groups were significantly higher than that in the healthy control group. The IL-6 concentrations exhibited no significant difference between disease groups. The S100A8 level in the sJIA group was significantly higher than those of the ALL, JIA, and healthy control groups but showed no significant difference compared to the SIF and KD groups. The S100A9 serum concentration in the sJIA group was significantly higher than those in the ALL and healthy control groups and exhibited no significant difference from the SIF, KD, and JIA groups. The IL-18 level of the sJIA group was significantly higher than that of the other febrile disease groups. The IL-18 serum concentration may be used as a biological serum marker to distinguish sJIA from other febrile diseases.
DOI: 10.6084/m9.figshare.7898315.v1
title: Chemical diversity of the volatiles of Lippia rotundifolia Cham. (Verbenaceae) in Minas Gerais, Brazil

description: Lippia rotundifolia is an aromatic species, native and endemic to rocky fields, which are isolated by small mountains. It is little known about their chemical composition. Because of that we aimed to study the chemical diversity of volatiles released from rosemary leaves (Lippia rotundifolia Cham.) coming from 11 populations of the Minas Gerais, Brazil. The material for chemical analysis was obtained from the accessions in the active germplasm bank of the Instituto de Ciências agrárias of the Universidade Federal de Minas Gerais. A total of 67 compounds were detected by HS-CG-MS. Most volatiles were detected in the São Gonçalo do Rio das Pedras accession, with 40 compounds, whereas in the Santana do Riacho accession only 5 compounds were detected. Volatiles myrcene, linalool and caryophyllene were detected in the majority of the accessions. We concluded that Lippia rotundifolia presents high chemical variability. The volatiles mircene, linalool and caryophyllene are the most frequent, detected in most of the accessions. Due to some accession to present predominance of monoterpenes, others sesquiterpenes, studies of molecular analysis are necessary for associate the chemotypes, since environmental variation influence the gene expression of the secondary metabolites.
DOI: 10.6084/m9.figshare.7898318.v1
title: Cnidom variation through distinct developmental stages in the sea anemone Aulactinia marplatensis (Zamponi, 1977) (Cnidaria: Actiniaria)

description: The cnidae are the exclusive diagnostic structures of phylum Cnidaria. The inventory of all cnidae types of a particular species is called the cnidom. The study of cnidae has been widely addressed in all classes of cnidarians. Particularly in the order Actiniaria (sea anemones), the study of the composition, size and distribution of cnidae is essential to the identification and description of species. In the present study, we examine the cnidom of the sea anemone Aulactinia marplatensis in three different stages of development throughout its life cycle. We found that the composition and abundance patterns are very similar between the adult and juvenile stages, although significant differences in the size capsules were found between both stages and in all cnidae types observed, being bigger those from the adult forms. The planula larvae stage presents a less diverse cnidom in comparison to the juvenile and adult stages; however, it presents an exclusive cnidae type (the mesobasic p-mastigophore) which is the biggest in size of all the cnidae types observed in the species. These results highlight the importance of considering the stage of development when cnidae is used as a diagnostic character, and the particular relevance of the study of the cnidom in larval stages.
DOI: 10.6084/m9.figshare.7898300
title: The superoxide anion donor, potassium superoxide, induces pain and inflammation in mice through production of reactive oxygen species and cyclooxygenase-2

description: It is currently accepted that superoxide anion (O2•−) is an important mediator in pain and inflammation. The role of superoxide anion in pain and inflammation has been mainly determined indirectly by modulating its production and inactivation. Direct evidence using potassium superoxide (KO2), a superoxide anion donor, demonstrated that it induced thermal hyperalgesia, as assessed by the Hargreaves method. However, it remains to be determined whether KO2 is capable of inducing other inflammatory and nociceptive responses attributed to superoxide anion. Therefore, in the present study, we investigated the nociceptive and inflammatory effects of KO2. The KO2-induced inflammatory responses evaluated in mice were: mechanical hyperalgesia (electronic version of von Frey filaments), thermal hyperalgesia (hot plate), edema (caliper rule), myeloperoxidase activity (colorimetric assay), overt pain-like behaviors (flinches, time spent licking and writhing score), leukocyte recruitment, oxidative stress, and cyclooxygenase-2 mRNA expression (quantitative PCR). Administration of KO2 induced mechanical hyperalgesia, thermal hyperalgesia, paw edema, leukocyte recruitment, the writhing response, paw flinching, and paw licking in a dose-dependent manner. KO2 also induced time-dependent cyclooxygenase-2 mRNA expression in the paw skin. The nociceptive, inflammatory, and oxidative stress components of KO2-induced responses were responsive to morphine (analgesic opioid), quercetin (antioxidant flavonoid), and/or celecoxib (anti-inflammatory cyclooxygenase-2 inhibitor) treatment. In conclusion, the well-established superoxide anion donor KO2 is a valuable tool for studying the mechanisms and pharmacological susceptibilities of superoxide anion-triggered nociceptive and inflammatory responses ranging from mechanical and thermal hyperalgesia to overt pain-like behaviors, edema, and leukocyte recruitment.
DOI: 10.6084/m9.figshare.7898300.v1
title: The superoxide anion donor, potassium superoxide, induces pain and inflammation in mice through production of reactive oxygen species and cyclooxygenase-2

description: It is currently accepted that superoxide anion (O2•−) is an important mediator in pain and inflammation. The role of superoxide anion in pain and inflammation has been mainly determined indirectly by modulating its production and inactivation. Direct evidence using potassium superoxide (KO2), a superoxide anion donor, demonstrated that it induced thermal hyperalgesia, as assessed by the Hargreaves method. However, it remains to be determined whether KO2 is capable of inducing other inflammatory and nociceptive responses attributed to superoxide anion. Therefore, in the present study, we investigated the nociceptive and inflammatory effects of KO2. The KO2-induced inflammatory responses evaluated in mice were: mechanical hyperalgesia (electronic version of von Frey filaments), thermal hyperalgesia (hot plate), edema (caliper rule), myeloperoxidase activity (colorimetric assay), overt pain-like behaviors (flinches, time spent licking and writhing score), leukocyte recruitment, oxidative stress, and cyclooxygenase-2 mRNA expression (quantitative PCR). Administration of KO2 induced mechanical hyperalgesia, thermal hyperalgesia, paw edema, leukocyte recruitment, the writhing response, paw flinching, and paw licking in a dose-dependent manner. KO2 also induced time-dependent cyclooxygenase-2 mRNA expression in the paw skin. The nociceptive, inflammatory, and oxidative stress components of KO2-induced responses were responsive to morphine (analgesic opioid), quercetin (antioxidant flavonoid), and/or celecoxib (anti-inflammatory cyclooxygenase-2 inhibitor) treatment. In conclusion, the well-established superoxide anion donor KO2 is a valuable tool for studying the mechanisms and pharmacological susceptibilities of superoxide anion-triggered nociceptive and inflammatory responses ranging from mechanical and thermal hyperalgesia to overt pain-like behaviors, edema, and leukocyte recruitment.
DOI: 10.6084/m9.figshare.7898303.v1
title: Serum total bilirubin levels are negatively correlated with metabolic syndrome in aged Chinese women: a community-based study

description: We evaluated serum total bilirubin levels as a predictor for metabolic syndrome (MetS) and investigated the relationship between serum total bilirubin levels and MetS prevalence. This cross-sectional study included 1728 participants over 65 years of age from Eastern China. Anthropometric data, lifestyle information, and previous medical history were collected. We then measured serum levels of fasting blood-glucose, total cholesterol, triglycerides, and total bilirubin, as well as alanine aminotransferase activity. The prevalence of MetS and each of its individual component were calculated per quartile of total bilirubin level. Logistic regression was used to assess the correlation between serum total bilirubin levels and MetS. Total bilirubin level in the women who did not have MetS was significantly higher than in those who had MetS (P&lt;0.001). Serum total bilirubin quartiles were linearly and negatively correlated with MetS prevalence and hypertriglyceridemia (HTG) in females (P&lt;0.005). Logistic regression showed that serum total bilirubin was an independent predictor of MetS for females (OR: 0.910, 95%CI: 0.863–0.960; P=0.001). The present study suggests that physiological levels of serum total bilirubin might be an independent risk factor for aged Chinese women, and the prevalence of MetS and HTG are negatively correlated to serum total bilirubin levels.
DOI: 10.6084/m9.figshare.7898279
title: gVCF_HG03378

description: 1000 Genomes gVCF mapped to hs37d5 for HG03378. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898282
title: gVCF_HG01768

description: 1000 Genomes gVCF mapped to hs37d5 for HG01768. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898285
title: Sternal fractures in a level III trauma intensive care unit.

description: ABSTRACT Objective: to evaluate epidemiology, anatomical characteristics, management, and prognosis of critical patients with sternum fractures. Methods: retrospective analysis of patients admitted to intensive care unit (ICU) of a Level III trauma center in Sao Paulo, Brazil. Results: 1552 trauma patients were admitted from January 2012 to April 2016. A total of 439 patients had thoracic trauma and among these, 13 patients had sternum fracture, making up 0.9% of all trauma admissions and 3% of all thoracic trauma cases. Three of these 13 patients had unstable chest, two underwent surgical management for fracture fixation, and three died (mortality was of 29%). In one of the deaths, sternum fracture was assessed as the main contributor to the outcome. Conclusion: sternum fracture was diagnosed in 0.9% of critical trauma patients in a specialized ICU. Only 15% of patients required specific surgical management in the acute phase. In most cases, mortality was due to other injuries.
DOI: 10.6084/m9.figshare.7898273
title: gVCF_HG03376

description: 1000 Genomes gVCF mapped to hs37d5 for HG03376. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898285.v1
title: Sternal fractures in a level III trauma intensive care unit.

description: ABSTRACT Objective: to evaluate epidemiology, anatomical characteristics, management, and prognosis of critical patients with sternum fractures. Methods: retrospective analysis of patients admitted to intensive care unit (ICU) of a Level III trauma center in Sao Paulo, Brazil. Results: 1552 trauma patients were admitted from January 2012 to April 2016. A total of 439 patients had thoracic trauma and among these, 13 patients had sternum fracture, making up 0.9% of all trauma admissions and 3% of all thoracic trauma cases. Three of these 13 patients had unstable chest, two underwent surgical management for fracture fixation, and three died (mortality was of 29%). In one of the deaths, sternum fracture was assessed as the main contributor to the outcome. Conclusion: sternum fracture was diagnosed in 0.9% of critical trauma patients in a specialized ICU. Only 15% of patients required specific surgical management in the acute phase. In most cases, mortality was due to other injuries.
DOI: 10.6084/m9.figshare.7898270
title: gVCF_HG01767

description: 1000 Genomes gVCF mapped to hs37d5 for HG01767. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898282.v1
title: gVCF_HG01768

description: 1000 Genomes gVCF mapped to hs37d5 for HG01768. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898255
title: gVCF_HG03372

description: 1000 Genomes gVCF mapped to hs37d5 for HG03372. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898270.v1
title: gVCF_HG01767

description: 1000 Genomes gVCF mapped to hs37d5 for HG01767. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898243
title: gVCF_HG01766

description: 1000 Genomes gVCF mapped to hs37d5 for HG01766. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898255.v1
title: gVCF_HG03372

description: 1000 Genomes gVCF mapped to hs37d5 for HG03372. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898225
title: gVCF_HG03370

description: 1000 Genomes gVCF mapped to hs37d5 for HG03370. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898225.v1
title: gVCF_HG03370

description: 1000 Genomes gVCF mapped to hs37d5 for HG03370. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898243.v1
title: gVCF_HG01766

description: 1000 Genomes gVCF mapped to hs37d5 for HG01766. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898183
title: gVCF_HG03367

description: 1000 Genomes gVCF mapped to hs37d5 for HG03367. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898192
title: gVCF_HG01762

description: 1000 Genomes gVCF mapped to hs37d5 for HG01762. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898201
title: gVCF_HG03369

description: 1000 Genomes gVCF mapped to hs37d5 for HG03369. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898222
title: gVCF_HG01765

description: 1000 Genomes gVCF mapped to hs37d5 for HG01765. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898222.v1
title: gVCF_HG01765

description: 1000 Genomes gVCF mapped to hs37d5 for HG01765. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898174
title: gVCF_HG03366

description: 1000 Genomes gVCF mapped to hs37d5 for HG03366. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898192.v1
title: gVCF_HG01762

description: 1000 Genomes gVCF mapped to hs37d5 for HG01762. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898201.v1
title: gVCF_HG03369

description: 1000 Genomes gVCF mapped to hs37d5 for HG03369. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898171
title: gVCF_HG03363

description: 1000 Genomes gVCF mapped to hs37d5 for HG03363. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898174.v1
title: gVCF_HG03366

description: 1000 Genomes gVCF mapped to hs37d5 for HG03366. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898177
title: gVCF_HG01761

description: 1000 Genomes gVCF mapped to hs37d5 for HG01761. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898183.v1
title: gVCF_HG03367

description: 1000 Genomes gVCF mapped to hs37d5 for HG03367. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.26180/5dcd60ea9bcdb
title: Interactions between cytoplasmic and nuclear genomes confer sex-specific effects on lifespan in Drosophila melanogaster

description: Description of factors in columns:<br><br>Column A) 'line'- name of cyto-nuclear population replicate for the 9 cyto-nuclear combinations: AA1-CC3<br>Column B) 'triplicate'- biological replicate, 1, 2 or 3, denoted T1, T2, T3<br>Column C) 'sex'- male or female, M or F<br>Column D) 'cyto'- cytoplasmic origin: Australia, Benin, Canada, denoted Am, Bm, Cm respectively<br>Column E) 'nuclear'- nuclear background origin: Australia, Benin, Canada, denoted An, Bn, Cn respectively<br>Column F) 'status'- coevolutionary status, coevolved (matched) or disrupted (mismatched)<br>Column G) 'vial'- vial number/ identification of vial in which individual was assayed in<br>Column H) 'block' experimental block in which individual was assayed, 1-6, denoted B1-B6<br>Column I) 'dayslived'- number of days an individual lived (lifespan) as a function of 'deathdate' - 'birthdate'
DOI: 10.6084/m9.figshare.7898168
title: Deletion of Transcription Factor AP-2α Gene Attenuates Fibroblast Differentiation into Myofibroblast

description: a novel molecular target, transcription factor AP-2α (TFAP2A), to reduce fibroblasts trans-differentiation.
DOI: 10.6084/m9.figshare.7898162
title: gVCF_HG03354

description: 1000 Genomes gVCF mapped to hs37d5 for HG03354. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898165
title: gVCF_HG01757

description: 1000 Genomes gVCF mapped to hs37d5 for HG01757. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898168.v1
title: Deletion of Transcription Factor AP-2α Gene Attenuates Fibroblast Differentiation into Myofibroblast

description: a novel molecular target, transcription factor AP-2α (TFAP2A), to reduce fibroblasts trans-differentiation.
DOI: 10.6084/m9.figshare.7898171.v1
title: gVCF_HG03363

description: 1000 Genomes gVCF mapped to hs37d5 for HG03363. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898177.v1
title: gVCF_HG01761

description: 1000 Genomes gVCF mapped to hs37d5 for HG01761. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898153
title: gVCF_HG03352

description: 1000 Genomes gVCF mapped to hs37d5 for HG03352. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898162.v1
title: gVCF_HG03354

description: 1000 Genomes gVCF mapped to hs37d5 for HG03354. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898165.v1
title: gVCF_HG01757

description: 1000 Genomes gVCF mapped to hs37d5 for HG01757. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898129
title: gVCF_HG01756

description: 1000 Genomes gVCF mapped to hs37d5 for HG01756. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898153.v1
title: gVCF_HG03352

description: 1000 Genomes gVCF mapped to hs37d5 for HG03352. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898129.v1
title: gVCF_HG01756

description: 1000 Genomes gVCF mapped to hs37d5 for HG01756. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898117
title: gVCF_HG03351

description: 1000 Genomes gVCF mapped to hs37d5 for HG03351. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898117.v1
title: gVCF_HG03351

description: 1000 Genomes gVCF mapped to hs37d5 for HG03351. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898108
title: gVCF_HG01747

description: 1000 Genomes gVCF mapped to hs37d5 for HG01747. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898105
title: gVCF_HG03343

description: 1000 Genomes gVCF mapped to hs37d5 for HG03343. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898108.v1
title: gVCF_HG01747

description: 1000 Genomes gVCF mapped to hs37d5 for HG01747. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898093
title: gVCF_HG03342

description: 1000 Genomes gVCF mapped to hs37d5 for HG03342. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898096
title: gVCF_HG01710

description: 1000 Genomes gVCF mapped to hs37d5 for HG01710. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898099
title: gVCF_HG01746

description: 1000 Genomes gVCF mapped to hs37d5 for HG01746. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898102
title: Flow cytometry data of particles alone

description: Taken on Apogee flow cytometer. Demonstrates fluorescence intensities of each particle
DOI: 10.6084/m9.figshare.7898105.v1
title: gVCF_HG03343

description: 1000 Genomes gVCF mapped to hs37d5 for HG03343. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898087
title: gVCF_HG03313

description: 1000 Genomes gVCF mapped to hs37d5 for HG03313. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898096.v1
title: gVCF_HG01710

description: 1000 Genomes gVCF mapped to hs37d5 for HG01710. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898099.v1
title: gVCF_HG01746

description: 1000 Genomes gVCF mapped to hs37d5 for HG01746. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898087.v1
title: gVCF_HG03313

description: 1000 Genomes gVCF mapped to hs37d5 for HG03313. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898093.v1
title: gVCF_HG03342

description: 1000 Genomes gVCF mapped to hs37d5 for HG03342. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898072
title: gVCF_HG03311

description: 1000 Genomes gVCF mapped to hs37d5 for HG03311. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898081
title: gVCF_HG01709

description: 1000 Genomes gVCF mapped to hs37d5 for HG01709. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898066
title: gVCF_HG01708

description: 1000 Genomes gVCF mapped to hs37d5 for HG01708. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898057
title: gVCF_HG03303

description: 1000 Genomes gVCF mapped to hs37d5 for HG03303. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898060
title: gVCF_HG01707

description: 1000 Genomes gVCF mapped to hs37d5 for HG01707. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7898063
title: gVCF_HG03304

description: 1000 Genomes gVCF mapped to hs37d5 for HG03304. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307