BioCAPTURE registry data
In this ongoing prospective cohort study containing data of 24 Dutch hospitals, patients with psoriasis are asked to be included for the BioCAPTURE registry at the moment of initiating a biologic. In case of inclusion, prospecitve data collection starts and is retrieved from electronic patient records (demographics, intoxications, comorbidities, medical history, psoriasis treatment history, disease activity scores (incl. Psoriasis Area and Severity Index (PASI)), side effects, dosages of biologics. Patients are also asked for questionnaire research participation. Those that consent are sent web-based questionnaires every three months in the first year after starting a specific biologic, and annualy in the years thereafter. In case they switch to another biologic, this series starts again. Questionnaires focus on a broad range of topics, including dermatology-related quality of life, treatement satistfaction with medication, health status, work productivity, healthcare usage. The current analytical dataset includes >2700 treatement episodes of 1550 unique patients.
example dataset
Description of a dataset
FIV
http mondo.org 12344
onboarding
Exploratory Test Dataset
This is a test description for exploratory testing.
test
Overleden inwoners van Nederland naar onderliggende doodsoorzaak per kwartaal en jaar van overlijden
Deze tabel bevat cijfers over de onderliggende doodsoorzaken van overleden inwoners van Nederland. De cijfers zijn uitgesplitst per kwartaal en jaar van overlijden naar een beperkt aantal doodsoorzaken. De sterfte aan COVID-19 of de ziekte veroorzaakt door het nieuwe coronavirus wordt gecodeerd met de ICD-10 codes U07.1 of U07.2. Deze codes zijn door de Wereldgezondheidsorganisatie (WHO) als 'emergency codes' of tijdelijke noodcodes neergezet en zullen later in een hoofdstuk van de ICD10 opgenomen worden. Deze codes worden daarom nu nog in de kwartaal tabel geteld bij de categorie 'Overige doodsoorzaken'. Het CBS is in het statistiekjaar 2013 overgestapt op het gebruik van internationale software voor automatisch coderen van de doodsoorzaken. Hiermee zijn de cijfers beter reproduceerbaar en internationaal vergelijkbaar. Wel zijn er enkele forse verschuivingen te zien in de doodsoorzaken (zie paragraaf 4). Gegevens beschikbaar vanaf: 1e kwartaal 1996 Status van de cijfers: De cijfers over 2024 zijn voorlopig, de overige cijfers zijn definitief. Wijzigingen per 16 mei 2025: De voorlopige cijfers over het vierde kwartaal en het totaal van 2024 zijn toegevoegd, de cijfers over de eerste drie kwartalen van 2024 zijn aangepast. Wanneer komen er nieuwe cijfers? In het derde kwartaal van 2025 verschijnen cijfers over het eerste kwartaal van 2025.
Doodsoorzaken
testtest
another test
test 2
Exploratory Test DatasetSeries
Test
Front-end test
blaa
test dataset aux classes
Test dataset for aux classes
aux classes
tryout
Questionnaire data of the Personalised RISk-based MAmmascreening Study (PRISMA)
The primary aim of the PRISMA study was to investigate the potential value of risk-tailored versus traditional breast cancer screening protocols in the Netherlands. Data collection took place between 2014-2019, resulting in ∼67,000 mammograms, ∼38,000 surveys, ∼10,000 blood samples and ∼600 saliva samples.
example
Substudy UCC-SMART 2
Patients with a history of CVD or diabetes are invited to participate in the SMART-2 substudy. In this study, the baseline measurements of UCC-SMART are repeated in order to investigate the course of atherosclerosis and vascular risk factors over time, and to evaluate the effects of treatment. Patients participated in SMART-2 after a median of 9.9 years (IQR 9.2–10.8) since their inclusion in UCC-SMART. As with UCC-SMART, the findings of SMART-2 with an accompanying treatment recommendation are communicated to the patient, his or her treating medical specialist and general practitioner.
diabetes mellitus
Cardiovascular disease
HIV infection
abdominal aortic aneurysm
cardiovascular risk factors
cerebrovascular disease
coronary artery disease
family history
hyperlipidemia
hypertension
hypertensive pregnancy disorder
peripheral artery disease
prospective cohort
renal artery stenosis
renal insufficiency
risk prediction
tasdasd
adasdas
test title
test description
Test dataset 2
Test dataset nr 2
First version of this awesome dataset
test dataset
test test
Test Dataset
Foo Bar
bar
foo
test series
Test dataset Hannah
This is the first version
hoi
more test
test data
COMODULATE Lab results LUMC
COMODULATE Lab results LUMC Research laboratory data of the LUMC COMODULATE cohort. Retrospective observational non-WMO study including COVID-19 and Influenza patients with and without ARDS from 2019 to 2024. Host transcriptomics and inflammatory proteomics variables were measured in respiratory samples. Principle Investigator, Jutte JC de Vries, LUCID
COVID-19
Influenza
transcriptomics
Jutte J.C. de Vries, Principle Investigator, Dept. LUCID, https://orcid.org/0000-0003-2530-6260
Leiden University Medical Center, the Netherlands
Jutte J.C. de Vries, Principal Investigator
Test dataset Series
Synthetic GoE Finnish Dataset
Synthetic test dataset for GoE with individuals from EE, FI, & LV
COVID-19 dataset with individual level data
This dataset contains individual level data from 42193 individuals from COVID Population 12 Italy, Subgroup 2.
COVID-19 dataset of aggregated data.
This dataset contains aggregated data from 42193 individuals from COVID Population 12 Italy, Subgroup 2.
GoE Finnish Dataset
GoE Finnish Dataset produced from legacy data
POM imaging data
Imaging data of the Personalized Parkinson Project, including structural and functional MRI.
ProPark
Data van het ProPark cohort, inclusief klinische data, neuroimaging, biomaterialen en wearable data.
NPC
Parkinson
Propark
POM clinical data
Clinical data of the Personalized Parkinson Project, including motor scores, cognitive and neuropsychiatric assessments, autonomic symptoms, sleep and quality of life.
ReLife study tissue samples
Permission is available for collection of tumour blocks.
renal cell cancer FFPE samples
patients with localized stage I-III renal cell cancer aged 18-75 years from the Netherlands recruited from January 2018 to June 2021
UroLife study molecular subtypes
Molecular subtype based on immunohistrochemistry performed on tissue microarrays is available for 389 T1 NMIBC tumours.
molecular subtypes
Patients with newly diagnosed non-muscle invasive bladder cancer aged 18-80 years from the Netherlands diagnosed between 2014-2021
PRIDE Study nutrition
Food frequency questionnaire administered in early pregnancy, assessing multiple macronutrients and micronutrients.
ReLife study quality of life questionnaire
The EORTC QLQ-C30 was completed at 3 (n=365), 12 (n=317) and 24 months (n=279) after surgery.
EORTC QLQ-C30
quality of life
PRIDE Study pharmacy data
Details on prescription medication fills in the three months before the last menstrual period until 6 months after the estimated date of delivery. Necessitates additional consent, provided by ~75% of participants.
PRIDE Study paternal questionnaire data
Questionnaire data focusing on paternal exposures the 3 months before conception. Completed by the biological father, <50% participation rate.
AMARA dataset 1
Collection of CT scan data of the thorax from one academic medical center in the Netherlands, including metadata on lung cancer status, men and women aged 18 and above.
CT lung
lung cancer
thorax CT imaging
ReLife study food frequency questionnaire
A 163-item Food Frequency questionnaire was completed at 3 (n=352), 12 (n=330) and 24 months (n=275) after surgery.
food frequencey questionnaire
food items
macronutrients
micronutrients
PRIDE-BIOME project
Subproject among 116 PRIDE Study participants. Gut microbiome data for maternal samples collected at gestational weeks 20 and 34, and 2 months after the estimated date of delivery; infant samples at 2, 4, 6, 9, and 12 months of age.
UroLife study quality of life questionnaire
The EORTC QLQ-C30 and EORTC QLQ-NMIBC24 was completed at 6 weeks (n=1451) and 3 (n=1334), 15 (n=1159) and 51 months (n=588) after diagnosis.
EORTC QLQ-NMIBC
Whole-exome sequencing of NTHL1 deficient tumors
Whole exome sequencing of 17 tumors from 12 different individuals with biallelic germline NTHL1 mutations from 9 different tissue types. Provided are 17 bam files which are mapped to human genome version GRCh37.
Genome
NTHL1 deficient tumor
Whole Exome Sequencing WES
Tumor mutational landscape in individuals with CMMRD
Whole exome sequencing data from the tumors (n=16) of individuals with constitutional mismatch repair deficiency. Data was aligned to GRCh38.
CMMRD tumors
WES
PRIDE Study blood samples
First trimester blood samples (plasma, serum, whole blood) of ~1000 PRIDE Study participants, available for genetic and biochemical analyses. Stored at -80°C.
UroLife study clinical data
Data on tumour characteristics, treatment, and recurrence(s), progression and mortality were collected from medical records by data managers of the Netherlands Cancer Registry (N=1512).
clinical data
mortality
progression
recurrence
treatment
ReLife study genome-wide germline SNP data
Isolated DNA and genome-wide germline SNP data is available for n=333 patients.
DNA
germline SNPs
EATRIS-Plus multi-omics data of a human reference cohort
In this reference study, blood samples of 125 healthy individuals were analyzed with a wide range of -omics technologies, resulting in the most comprehensive -omics profiling data set that is publicly available. The molecular measurements that are available here, can be used as reference values for any future (multi-)omics studyies. Along with phenotypic information (Sex, Age, BMI etc. and measured cell types levels) on the healthy subjects.
Epigenomics
Genomics
Healthy population
Lipidomics
Metabolomics
Multi-omics
Personalized medicine
Proteomics
Transcriptomics
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
European Infrastructure for Translational Medicine
A representative subset (age and sex balanced) of 125 samples was selected, sex balanced, with an age span ranging from 23 to 61 years.
UroLife study fluid intake and micturition diary
A 4-day fluid and micturition diary was completed at 3 (n=1146) and 15 months (n=1000) after diagnosis.
fluid intake
micturition
Nederlands RBD Cohort
Data van het Nederlands RBD cohort, inclusief klinische data, neuroimaging, biomaterialen en wearable data.
RBD
UroLife study food frequency questionnaire
A 163-item Food Frequency questionnaire was completed at 6 weeks (referring to pre-diagnosis lifestyle; n=1439)) and 3 (n=1316), 15 (n=1143) en 51 months (n<589) after diagnosis.
PRIDE Study medication diaries
6-week medication diaries covering prescription and over-the counter use, administered in the second trimester of pregnancy. Available for 1516 PRIDE Study participants (2013-2018).
X-omics iPSC data analysis workflow data and metadata files
Multi-omics dataset generated from induced pluripotent stem cells (iPSC) cultures, differentiated to neurons by Ngn2 transduction, for seven days. iPSCs were derived from three different patient groups [Myotonic Dystrophy Type 1 (DM1), chromodomain-DNA-helicase-binding protein 2 (CHD2) related disorder, and N-acetyl-d-neuraminic acid synthase congenital disorders of glycosylation (NANS-CDG)]. For each disease, cell lines from three patient donors (two females and one male) along with three controls were included. Cell lines were derived from fibroblasts or peripheral blood mononuclear cells (PBMCs) through lentiviral reprogramming into iPSCs. In addition, two isogenic lines using CRISPR-Cas9 were included: a CHD2-mutant line created by editing the control line 409B, and a corrected DM1 control line generated by removing the pathogenic repeat expansion from DM1 patient line 1. Three levels of replicates were defined. For some patients, multiple independent iPSC lines were used, which are referred to as clones. Moreover, each iPSC line was differentiated into neurons in three independent experiments and cultured for seven days in vitro by the same experimenter. These differentiation replicates will be referred to as the biological replicates in this study. Lastly, for specific analyses and specific omics data sets (proteomics & metabolomics) duplicate measurements on the same sample are available as well, which will be referred to as technical replicates. The multi-omics dataset included six omics layers from 44 samples: whole exome sequencing (WES), enzymatic methylation sequencing (EMseq), RNA sequencing (RNAseq), mass spectrometry (MS)-based proteomics, and untargeted MS-based metabolomics measured at two centers namely, the Radboud university medical center (RUMC) and the Leiden University Medical Center (LUMC), MS-based targeted and untargeted lipidomics.
Homo sapiens
Induced pluripotent stem cells
Neurons
Dutch Parkinson Cohort (DUPARC)
Data van het DUPARC cohort, inclusief klinische data, neuroimaging (MRI en PET) en biomaterialen.
DUPARC
PRIDE Study questionnaire data
In this ongoing prospective cohort study, women complete web-based questionnaires at three time points in pregnancy (at enrollment [median gestational age 10 weeks], gestational weeks 17 and 34), 2 and 6 months after the estimated date of delivery, and, if additional consent is provided, every 6 months until the age of 7 years. Questionnaires focus on a broad range of topics, including demographic characteristics, obstetric history, maternal health, life style factors, occupational exposures, nutrition, pregnancy complications, and infant outcomes. The current analytical dataset includes >13,000 pregnancies with an estimated date of delivery in 2012-2024.
Personalized Parkinson Project (PPP)
Data van het Parkinson Op Maat cohort, inclusief klinische data, neuroimaging, biomaterialen en wearable data.
POM
PPP
TRACK-PD
Data van het TRACK-PD cohort, inclusief klinische data, 7T MRI, biomaterialen en wearable data.
Tumor sequencing dataset from 17 individuals with biallelic germline pathogenic variants in CHEK2
"This study investigated the molecular landscape of 17 tumors from 9 individuals with biallelic germline pathogenic variants in CHEK2. Tumors included breast and non-breast cancers, and WES and sWGS bam files from the tumors are included in this submission. WES data was aligned to GRCh37 and sWGS data to GRCh38."
Germline CHEK2 deficiency
Tumor
WGS
POM wearables
Wearable data of the Personalized Parkinson Project, including data obtained with a Verily watch.
ReLife study abdominal CT scans
Abdominal CT scans are availabe for n=349 patients.
abdominal CT scans
ReLife study body composition data
CT-based assessment of body composition is available for n=349 patients.
body composition
skeletal muscle
skeletal muscle radiodensity
subcutaneous adipose tissue
visceral adipose tissue
ReLife study clinical data
Data on tumour characteristics, treatment, complications, recurrence(s), progression and mortality were collected from medical records by data managers of the Netherlands Cancer Registry (N=368).
complications
PRIDE Study saliva samples
Single saliva samples for cortisol analyses collected in 2012-2020 in subgroup (N~3400). Partially analyzed, remaining samples stored at -20°C.
Continuous Vital Parameters with Clinical Data of Patients Admitted to a Dutch University Hospital
Vital parameters measured with the VisiMobile (Sotera Wireless; San Diego, CA, USA) of inpatients at Radboudumc (Nijmegen, The Netherlands). The dataset records minute-by-minute measurements of vital parameters, including heart rate, pulse rate, breathing rate, blood oxygenation, and blood pressure (systolic, diastolic, and mean arterial pressure), together with a time stamp (hour and minute). In addition to vital parameters, patient demographic data such as age, sex, and weight are included. Admission details encompass the reason for admission, medical interventions performed, diagnoses, lab orders, and prescribed medications. Furthermore, location of discharge and DNR (Do not resuscitate) status are reported. All data are available with timestamp as recorded in the EHR (electronic health record). The dataset includes approximately 20.000 admissions with an average duration of four days. The source of those admissions are about 15.000 different patients admitted between 2018 and 2024. The patients were admitted on one or more of the following departments: Surgery - Gastrointestinal Oncology, Gastroenterology and Hepatology, Acute Admission Unit, Neurology, General Internal Medicine, Urology.
UroLife study genome-wide germline SNP data
Isolated DNA and genome-wide germline SNP data is available for 1213 patients.
ReLife study blood samples
Serum and EDTA plasma samples were collected at 3 (n=335), 12 (n=266) and 24 months (n=237) after surgery. EDTA plasma samples have been analysed for CRP, IL-6, adiponectin, and leptin.
EDTA plasma
blood
serum
POM biomaterials
Biomaterials of the Personalized Parkinson Project, including blood, CSF and stool samples.
PRIDE Study obstetric records
Selected clinical data from obstetric records covering the pregnancy period and puerperium. Necessitates additional consent, provided by ~70% of participants
UroLife study blood samples
EDTA and heparin plasma samples were collected at 3 (n=1280) and 15 months (n=1122) after diagnosis. Heparin plasma samples have been analysed for carotenoids at 3 and 15 months and for hsCRP at 3 months after diagnosis.
heparin plasma
ReLife study accelerometer data
Accelerometer data (ActivPal) is available at 3 (n=346), 12 (n=323) and 24 months (n=271) after surgery.
ActivPal
accelerometer
physical activity
sedentary time
COVID-19 GWAS and Allele Frequency Lookup Dataset for GDI MS 8
This is the first part of the split 11 of the synthetic data dedicated for the GDI MS8
COVID19
Smokers
National Bioinformatics Infrastructure Sweden
SYNTHETIC Norwegian Colorectal Cancer genomic dataset generated in EOSC4Cancer
SYNTHETIC This dataset contains 10 tumor and normal pairs synthetic WGS data of colorectal cancer that were simulated in a standard format of Illumina paired-end reads. NEAT read simulator (version 3.0, https://github.com/zstephens/neat-genreads) is utilized to synthetize these 10 pairs tumor and normal WGS data. In the procedure of data generation, simulated parameters (i.e., sequencing error statistics, read fragment length distribution and GC% coverage bias) are learned from data models provided by NEAT. The average sequencing depth for tumor and normal samples aims to reach around 110X and 60X, respectively. For generation of synthetic normal WGS data per each sample, a germline variant profile from a real patient is down-sampled randomly, which includes 50% germline variants of such a patient. It is then mixed together with an in silico germline variant profile that is modelled randomly using an average mutation rate (0.001), finally constituting a full germline profile for normal synthetic WGS data. For generation of synthetic tumor WGS data per each sample, a pre-defined somatic short variant profile (SNVs+Indels) learn from a real CRC patient is added to the germline variant profile used for creating normal synthetic WGS data of the same patient, which is utilized to produce simulated sequences. Neither copy number profile nor structural variation profile is introduced into the tumor synthetic WGS data. Tumor content and ploidy are assumed to be 100% and 2.
colorectal_tumor
ngs
normal_tumor_pair
synthetic
wgs
Thyroid measures
From the group of 343 couples (Ntotal=686_ LLS PartnerOffspring that participated in the LLS between 2006 and 2008, 500 participants were examined for the third time between 2009 and 2010. In total 250 offspring-partners couples participated, with a mean age of 66 years. Fasted blood was drawn and serum/plasma and viable PBMCs were isolated and stored. All participant were subjected to cognitive tests (ACS-90, STROOP, Picture Word Learning test, LOT, Apathy scale, CES-D), and in 367 participants 3Tesla brain MRI scans were performed and of 341 participants CT-scan of abdomen was performed.
LLS IOP2 Participant info
From the group of 2,415 LLS PartnerOffspring that participated in the LLS between 2002 and 2006, 686 participants were examined for the second time between 2006 and 2008. In total 343 offspring and their partners (as couples living together) participated, with a mean age of 63 years. Of the 286 participants of the morning program, fasted blood was collected and serum/plasma was stored. Furthermore, skin replica’s and skin biopties were taken, from which viable fibroblasts were isolated and stored. The morning group was also subjected to an oral-glucose tolerance test. Of the 400 participants of the afternoon program, non-fasted blood was collected and serum/plasma and viable PBMCs were isolated and stored. The full blood was stimulated with LPS and cytokine levels were measured. From the majority of the total participants physical measures, DXA scan and standardized photographs of the face were taken, and all participants brought first morning void of urine which was stored.
Clinicalchemistry
For the Leiden Longevity Study, long-lived siblings of European descent were recruited together with their offspring and the partners of the offspring between 2002 and 2006. Families were recruited if at least two long-lived siblings were alive and fulfilled the age criterion of 89 years or older for males and 91 years or older for females, representing less than 0.5% of the Dutch population in 2001 (Schoenmaker et al 2006, doi: 10.1038/sj.ejhg.5201508; Westendorp et al 2009, doi: 10.1111/j.1532-5415.2009.02381.x). In total 944 long-lived siblings were included with a mean age of 94 years (range 89-104), 1671 offspring (61 years, 34-81) and 744 partners (60 years, 30-79). It is family based study consists of 1671 offspring of 421 nonagenarians sibling pairs of Dutch descent, and their 744 partners. The dataset of the LLS IOP1 Nonagenarian Siblings consists of 944 long-lived siblings from 421 families of whom we have biosamples, biomarkers, and questionnaire data. We followed these nonagenarian participants for their vital status till 2020.
Plasma endothelial markers
FU Castor Balanstesten
For the Leiden Longevity Study, long-lived siblings of European descent were recruited together with their offspring and the partners of this offspring between 2002 and 2006. Families were recruited if at least two long-lived siblings were alive and fulfilled the age criterion of 89 years or older for males and 91 years or older for females, representing less than 0.5% of the Dutch population in 2001 (Schoenmaker et al 2006, doi: [10.1038/sj.ejhg.5201508](http://https://www.nature.com/articles/5201508); Westendorp et al 2009, doi: [10.1111/j.1532-5415.2009.02381.x](http://https://agsjournals.onlinelibrary.wiley.com/doi/10.1111/j.1532-5415.2009.02381.x)). In total 944 long-lived siblings were included with a mean age of 94 years (range 89-104), 1671 offspring (61 years, 34-81) and 744 partners (60 years, 30-79). It is family based study consists of 1671 offspring of 421 nonagenarians sibling pairs of Dutch descent, and their 744 partners. Of all LLS participants HRC1.1 imputed genotypes are available.
FU survey Alg vragenlijst LLS
LLS IOP3 Participant info
FU survey Gevoel en gedrag (CES-D)
LLS_IOP1_partoffs_LeidenNMR_Kimble
For the Leiden Longevity Study, long-lived siblings of European descent were recruited together with their offspring and the partners of the offspring between 2002 and 2006. Families were recruited if at least two long-lived siblings were alive and fulfilled the age criterion of 89 years or older for males and 91 years or older for females, representing less than 0.5% of the Dutch population in 2001 (Schoenmaker et al 2006, doi: 10.1038/sj.ejhg.5201508; Westendorp et al 2009, doi: 10.1111/j.1532-5415.2009.02381.x). In total 944 long-lived siblings were included with a mean age of 94 years (range 89-104), 1671 offspring (61 years, 34-81) and 744 partners (60 years, 30-79) as population based controls. It is family based study consists of 1671 offspring of 421 nonagenarians sibling pairs of Dutch descent, and their 744 partners. The dataset of the LLS IOP1 Partner Offspring consists of the 1671 offspring of nonagenarian siblings and their 744 partners from 421 families of whom we have physical measurements, biosamples, biomarkers, and questionnaire data. We followed this group of 2,415 middle-aged participants for their vital status till 2020, for their morbidity status till 2017.
LLS IOP2 Gripstrength
FU survey Fysieke activeit (SQUASH) OUD
LLS_IOP3_OLINKcardiomatebolic_metadata
FU Castor Medicatiegebruik
LLS IOP2 Clinical chemistry
Clinical Chemistry
LLS Questionnaire 1
Leiden NMR
LLS_IOP3_OLINKcardiomatebolic_measures
LLS_IOP3_OLINKcardiomatebolic_samples
LLS_IOP1_partoffs_Participant_info
Q1 FFQ Macronutrients
FU survey Voedingsvragenlijst (FFQ)
LLS IOP3 Partoffs Apolipoprotein platform
Participant information
Q1 FFQ Food group key
Visit measures
Cellcounts
FU Castor Thuis biomateriaal
IOP1_Partoffs
FU Castor Metingen handknijpkrachttest
Nightingale
SignalingLipids Overview
LLS IOP2 Nightingale QL16-20
CMMRD tumors sequencing data
Whole exome sequencing data from the tumors of individuals with constitutional mismatch repair deficiency. These are 16 tumors from the bigger study of 41 tumors in total (from 17 individuals in total).
Data access request to the Whole-exome sequencing of NTHL1 deficient tumors
This distribution points to a link that contains17 bam files corresponding to the whole-exome sequencing of NTHL1 deficient tumors
Test Distribution
THis is a test distribution
CSV-distribution of the questionnaire data of the Personalised RISk-based MAmmascreening Study (PRISMA)
CSV file containing the questionnaire data of the PRISMA study
test distribu
WES data of 17 tumors from 9 individuals that have biallelic germline CHEK2 pathogenic variants. Shallow whole genome sequencing files from 16 tumors samples from 9 individuals with germline biallleic pathogenic variants in CHEK2.
GWAS and Allele Frequency Lookup Data Distribution for GDI MS8
VCF file containing GWAS and allele frequency lookup data of synthetic COVID-19.cases and controls for GDI MS8 demonstration.
dist
Hello!
Distribution 1
The pre-processed mult-omics data can be accessed here in the shape of a MultiAssayExperiment object (Ramos et al. 2017)
excel
Imaging data - Nifti format
Imaging data available in imaging format
Questionnaire data - CSV format
Questionnaire data available in a CSV format