cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19754332
title: Supplementary Material for: Serum Thyrotropin Elevation and Coronary Artery Calcification in Hemodialysis Patients

description: Introduction: Hypothyroidism is highly prevalent in end-stage kidney disease (ESKD) patients, and emerging data show that lower circulating thyroid hormone levels lead to downregulation of vascular calcification inhibitors and coronary artery calcification (CAC) in this population. To date, no studies have examined the association of serum thyrotropin (TSH), the most sensitive and specific single biochemical metric of thyroid function, with CAC risk in hemodialysis patients. Methods: In secondary analyses of patients from the Anti-Inflammatory and Anti-Oxidative Nutrition in Hypoalbuminemic Dialysis Patients (AIONID) trial, we examined serum TSH levels and CAC risk assessed by cardiac CT scans collected within a 90-day period. We evaluated the relationship between serum TSH with CAC Volume and Agatston scores (defined as &gt;100 mm3 and &gt;100 Houndsfield Units [HU], respectively) using multivariable logistic regression. Results: Among 104 patients who met eligibility criteria, higher TSH levels in the highest tertile were associated with moderately elevated CAC Volume and Agatston scores in case-mix adjusted analyses (ref: lowest tertile): adjusted ORs (aORs) (95%CIs) 4.26 (1.18, 15.40) and 5.53 (1.44, 21.30), respectively. TSH levels &gt;3.0 mIU/L (ref: ≤3.0 mIU/L) were also associated with moderately elevated CAC Volume and Agatston scores. In secondary analyses, point estimates of incrementally lower direct free thyroxine levels trended towards elevated CAC Volume and Agatston scores, although associations did not achieve statistical significance. Conclusions: In hemodialysis patients, higher serum TSH was associated with elevated CAC Volume and Agatston scores. Further studies are needed to determine if thyroid hormone supplementation can attenuate CAC burden in this population.
DOI: 10.22008/fk2/5tyf6t/1t1g5n
title: G100_Krummedal_71Ø4_S_400dpi.tif
DOI: 10.22008/fk2/5tyf6t/fpid7e
title: G100_Charcot_Land_70Ø4N_Krummedal_71Ø4S_DescriptiveText.pdf
DOI: 10.22008/fk2/5tyf6t/ee2n7t
title: G100_Krummedal_71Ø4_S_400dpi.pdf
DOI: 10.22008/fk2/5tyf6t
title: Geologisk kort over Grønland, 1:100 000, Krummedal 71 Ø.4 Syd

description: Geologisk kort over Grønland / Geological map of Greenland - 1:100 000, central East Greenland, Garben Land
DOI: 10.22008/fk2/ltbs9s/zfeibp
title: G100_Kangaatsiaq_68V1_ S_400dpi.tif
DOI: 10.22008/fk2/ltbs9s/pmlxfi
title: G100_Kangaatsiaq_68V1_ S_400dpi.pdf
DOI: 10.22008/fk2/ltbs9s
title: Geological map of Greenland, 1:100 000, Kangaatsiaq 68 V.1 Syd

description: Geologisk kort over Grønland / Geological map of Greenland - 1:100 000, central West Greenland, Kangaatsiaq
DOI: 10.5281/zenodo.6542598
title: 773782 COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece

description: <strong>COASTAL Project: Marine Data Set</strong> In the framework of COASTAL Project (https://h2020-coastal.eu/), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study (MAL02). <strong>Data set description</strong> In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include: Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water Metals, carbon, nitrogen, mineralogy in sediment Metals, carbon, nitrogen, mineralogy in sediment cores Particulate matter Hydrocarbons (PAHs, PCBs) in water Hydrocarbons (PAHs) in sediment Zooplankton biomass Zoobenthos taxonomic abundance
DOI: 10.5281/zenodo.6542597
title: 773782 COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece

description: <strong>COASTAL Project: Marine Data Set</strong> In the framework of COASTAL Project (https://h2020-coastal.eu/), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study (MAL02). <strong>Data set description</strong> In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include: Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water Metals, carbon, nitrogen, mineralogy in sediment Metals, carbon, nitrogen, mineralogy in sediment cores Particulate matter Hydrocarbons (PAHs, PCBs) in water Hydrocarbons (PAHs) in sediment Zooplankton biomass Zoobenthos taxonomic abundance
DOI: 10.5281/zenodo.6362865
title: CoMix social contact data (Slovenia)

description: CoMix social contact data for Slovenia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Petra Klepac at the National Institute of Public Health.
DOI: 10.5281/zenodo.5137238
title: CoMix social contact data (Slovenia)

description: CoMix social contact data for Slovenia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Petra Klepac at the National Institute of Public Health.
DOI: 10.5281/zenodo.6362870
title: CoMix social contact data (Greece)

description: CoMix social contact data for Greece. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Elpida Pavi at the University of West Attica (UniWA).
DOI: 10.5281/zenodo.5137217
title: CoMix social contact data (Greece)

description: CoMix social contact data for Greece. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Elpida Pavi at the University of West Attica (UniWA).
DOI: 10.6084/m9.figshare.19754050
title: Supporting data for circos

description: Supporting data for circos b-h
DOI: 10.6084/m9.figshare.19353182
title: Oxygen isotopes reveal glacial-interglacial changes in the timing of pedogenic carbonate growth from the Chinese Loess Plateau

description: Dataset S1 contains the input boundary conditions required by the HYDRUS-1D software.Dataset S2 contains the Quaternary d13C and d18O of pedogenic carbonates from the Chinese Loess Plateau, as well as the related records of summer monsoon proxies.
DOI: 10.6084/m9.figshare.19353182.v2
title: Oxygen isotopes reveal glacial-interglacial changes in the timing of pedogenic carbonate growth from the Chinese Loess Plateau

description: Dataset S1 contains the input boundary conditions required by the HYDRUS-1D software.Dataset S2 contains the Quaternary d13C and d18O of pedogenic carbonates from the Chinese Loess Plateau, as well as the related records of summer monsoon proxies.
DOI: 10.6084/m9.figshare.19353182.v1
title: Oxygen isotopes reveal glacial-interglacial changes in the timing of pedogenic carbonate growth from the Chinese Loess Plateau

description: Dataset S1 contains the input boundary conditions required by the HYDRUS-1D software.Dataset S2 contains the Quaternary d13C and d18O of pedogenic carbonates from the Chinese Loess Plateau, as well as the related records of summer monsoon proxies.
DOI: 10.6084/m9.figshare.19754374
title: TCMSP Herb Information-Ginkgo Folium-Export.xlsx

description: Bilobalide's pharmacology property
DOI: 10.6084/m9.figshare.19754053
title: SPMP HiC bins

description: Bins (high, near complete, medium and low quality) from a subset of 24 Singaporean gut metagenome from SPMP assembled with Illumina and Nanopore reads (opera-ms) and binned with Hi-C data.
DOI: 10.34740/kaggle/dsv/3622234
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19525681.v4
title: Table_S6_155_samples

description: Bacterial samples (158, 5.3% of total) with a much higher aPMNLE for all proteins than the chromosomal ones alone. This indicated that the plasmid-related proteins contributed more indirect PPIs.
DOI: 10.5517/ccdc.csd.cc284l89
title: CCDC 2089780: Experimental Crystal Structure Determination

description: Related Article: Zhuang Nie, Song Liu, Tonglin Wang, Zhanhong Shen, Huifang Nie, Jiayue Xi, Dongxu Zhang, Xiaohui Zheng, Shengyong Zhang, Lin Yao|2022|Chem.Commun.|58|5837|doi:10.1039/D2CC00589A
DOI: 10.5517/ccdc.csd.cc297b96
title: CCDC 2122207: Experimental Crystal Structure Determination

description: Related Article: Zhuang Nie, Song Liu, Tonglin Wang, Zhanhong Shen, Huifang Nie, Jiayue Xi, Dongxu Zhang, Xiaohui Zheng, Shengyong Zhang, Lin Yao|2022|Chem.Commun.|58|5837|doi:10.1039/D2CC00589A
DOI: 10.5517/ccdc.csd.cc29zz6h
title: CCDC 2144927: Experimental Crystal Structure Determination

description: Related Article: Subhra Kanti Roy, Anisha Purkait, Rajib Shome, Saurav Das, Debapratim Das, Siddhartha Sankar Ghosh, Chandan K. Jana|2022|Chem.Commun.|58|5909|doi:10.1039/D2CC01268E
DOI: 10.5517/ccdc.csd.cc29zz7j
title: CCDC 2144928: Experimental Crystal Structure Determination

description: Related Article: Subhra Kanti Roy, Anisha Purkait, Rajib Shome, Saurav Das, Debapratim Das, Siddhartha Sankar Ghosh, Chandan K. Jana|2022|Chem.Commun.|58|5909|doi:10.1039/D2CC01268E
DOI: 10.5517/ccdc.csd.cc29zzq0
title: CCDC 2144943: Experimental Crystal Structure Determination

description: Related Article: Subhra Kanti Roy, Anisha Purkait, Rajib Shome, Saurav Das, Debapratim Das, Siddhartha Sankar Ghosh, Chandan K. Jana|2022|Chem.Commun.|58|5909|doi:10.1039/D2CC01268E
DOI: 10.5517/ccdc.csd.cc2b8ffh
title: CCDC 2153056: Experimental Crystal Structure Determination

description: Related Article: Sabina Yashmin, Rashid Ali, Santa Mondal, Abu Taleb Khan|2022|Chem.Commun.|58|5853|doi:10.1039/D2CC01067D
DOI: 10.5517/ccdc.csd.cc2bbfmr
title: CCDC 2154984: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Jialin Xie, Zhenglin Du, Ruiyang Yu, Jianhua Jia, Zhong Chen, Kelong Zhu|2022|Chem.Commun.|58|5829|doi:10.1039/D2CC01198K
DOI: 10.5517/ccdc.csd.cc2bbfns
title: CCDC 2154985: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Jialin Xie, Zhenglin Du, Ruiyang Yu, Jianhua Jia, Zhong Chen, Kelong Zhu|2022|Chem.Commun.|58|5829|doi:10.1039/D2CC01198K
DOI: 10.5517/ccdc.csd.cc2bbfpt
title: CCDC 2154986: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Jialin Xie, Zhenglin Du, Ruiyang Yu, Jianhua Jia, Zhong Chen, Kelong Zhu|2022|Chem.Commun.|58|5829|doi:10.1039/D2CC01198K
DOI: 10.5517/ccdc.csd.cc2bfmfv
title: CCDC 2158047: Experimental Crystal Structure Determination

description: Related Article: Chaoqi Ke, Qiuhui Cao, Yao Luo, Xiaohua Liu, Xiaoming Feng|2022|Chem.Commun.|58|5881|doi:10.1039/D2CC01656G
DOI: 10.5517/ccdc.csd.cc2bfr1l
title: CCDC 2158159: Experimental Crystal Structure Determination

description: Related Article: Chaoqi Ke, Qiuhui Cao, Yao Luo, Xiaohua Liu, Xiaoming Feng|2022|Chem.Commun.|58|5881|doi:10.1039/D2CC01656G
DOI: 10.5517/ccdc.csd.cc2bhgdq
title: CCDC 2159813: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Michael G. Gardiner, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|5833|doi:10.1039/D2CC01554D
DOI: 10.5517/ccdc.csd.cc2bhgfr
title: CCDC 2159814: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Michael G. Gardiner, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|5833|doi:10.1039/D2CC01554D
DOI: 10.5517/ccdc.csd.cc2bhggs
title: CCDC 2159815: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Michael G. Gardiner, Mathew D. Anker, Martyn P. Coles|2022|Chem.Commun.|58|5833|doi:10.1039/D2CC01554D
DOI: 10.5517/ccdc.csd.cc2bmfr5
title: CCDC 2163637: Experimental Crystal Structure Determination

description: Related Article: Masaaki Komatsuda, Hugo Ohki, Hiroki Kondo, Ayane Suto, Junichiro Yamaguchi|2022|Org.Lett.|24|3270|doi:10.1021/acs.orglett.2c01149
DOI: 10.5517/ccdc.csd.cc2b9695
title: CCDC 2153796: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Nyga, Takahito Kaihara, Takumi Hosono, Massimiliano Sipala, Patrycja Stachelek, Norimitsu Tohnai, Satoshi Minakata, Leonardo Evaristo de Sousa, Piotr de Silva, Przemyslaw Data, Youhei Takeda|2022|Chem.Commun.|58|5889|doi:10.1039/D2CC01568D
DOI: 10.6084/m9.figshare.19525708.v4
title: Table_S3_summary_bacteria_sample_features

description: Key features of the bacterial samples. Plasmid_PPI indicates the number of plasmid-related PPIs; Chrom_PPI indicates the number of chromosomal PPIs; Fraction indicates the fraction of PPIs that were plasmid-related; inputProteins indicates the number of proteins per sample; interactions indicates the total number of PPIs; Plasmid_genes indicates the number of plasmid-related genes per sample; aPMNLE indicates the chromosomal proteins' aPMNLE; cTri indicates the number of chromosomal protein trios; loops indicates the number of indirect connections for chromosomal proteins; ccs indicates the number of connected components for chromosomal proteins; aPMNLE_all indicates the aPMNLE for all proteins; cTri_all indicates the number of protein trios; loops_all indicates the number of indirect connections; ccs_all indicates the number of connected components. Note some PMNLE values were not computational tractable and so the cells are empty.
DOI: 10.34740/kaggle/dsv/3622305
title: 2021 World Population (updated daily)
DOI: 10.25934/pr00005598.4
title: Available IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Chemotherapy in Patients With Locally Advanced or Metastatic Urothelial Bladder Cancer After Failure With Platinum-Containing Chemotherapy'

description: This is a Phase III, global, multicenter, open-label, two-arm, randomized, controlled study designed to evaluate the efficacy and safety of atezolizumab compared with chemotherapy in participants with locally advanced or metastatic urothelial bladder cancer (UBC) who have progressed during or following a platinum-containing regimen. The anticipated time on study treatment is based on continued clinical benefit, i.e., until disease progression or unacceptable toxicity. The target sample size is 931 participants.
DOI: 10.5281/zenodo.6362879
title: CoMix social contact data (Poland)

description: CoMix social contact data for Poland. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Magdalena Rosinska at the National Institute of Public Health - National Institute of Hygiene.
DOI: 10.5281/zenodo.5041128
title: CoMix social contact data (Poland)

description: CoMix social contact data for Poland. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Magdalena Rosinska at the National Institute of Public Health - National Institute of Hygiene.
DOI: 10.5281/zenodo.6362887
title: CoMix social contact data (Portugal)

description: CoMix social contact data for Portugal. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Baltazar Nunes at the National Health Institute Doutor Ricardo Jorge (INSA).
DOI: 10.5281/zenodo.5041140
title: CoMix social contact data (Portugal)

description: CoMix social contact data for Portugal. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Baltazar Nunes at the National Health Institute Doutor Ricardo Jorge (INSA).
DOI: 10.5281/zenodo.5041112
title: CoMix social contact data (Italy)

description: CoMix social contact data for Italy. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Daniela Paolotti at the ISI Foundation.
DOI: 10.6084/m9.figshare.19754566
title: Data from "Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes"

description: The compressed file contains the repository with the data and analysis reported in "Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes". <br>
DOI: 10.6084/m9.figshare.19754566.v1
title: Data from "Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes"

description: The compressed file contains the repository with the data and analysis reported in "Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes". <br>
DOI: 10.5281/zenodo.6362893
title: CoMix social contact data (France)

description: CoMix social contact data for France. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Guillaume Béraud at the Centre Hospitalier Universitaire de Poitiers.
DOI: 10.5281/zenodo.5040870
title: CoMix social contact data (France)

description: CoMix social contact data for France. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Guillaume Béraud at the Centre Hospitalier Universitaire de Poitiers.
DOI: 10.34740/kaggle/dsv/3622373
title: WallStreetBets 2022
DOI: 10.5281/zenodo.6496494
title: ECHAM6 verification without top 10 layers synchronization

description: Verification of ECHAM6 nudging module when ECHAM6 has synchronized to its own outputs. Files and description: ndg_197102.nc ECHAM6 grb output converting to netcdf format as a reference data for ECHAM6 nudging module diff_t_197102_gp_rmse.nc Spatial root mean square errors on all levels and at all outputs (6 hourly). RMSE between ECHAM6 output (echam6_nudging_grb_T63_197102.01_echam) and reference data (ndg_197102.nc) namelist.echam namelist used to run ECHAM6 nudging case, in which nudging is expected to only apply to layer 11 to 47. Four ECHAM6 outputs when nudging module is switched on echam6_nudging_grb_T63_197102.01_echam echam6_nudging_grb_T63_197102.01_echam.codes echam6_nudging_grb_T63_197102.01_nudg echam6_nudging_grb_T63_197102.01_nudg.codes Two log files generated by ECHAM6 executable r_nudging_err r_nudging_log
DOI: 10.5281/zenodo.6496493
title: ECHAM6 verification without top 10 layers synchronization

description: Verification of ECHAM6 nudging module when ECHAM6 has synchronized to its own outputs. Files and description: ndg_197102.nc ECHAM6 grb output converting to netcdf format as a reference data for ECHAM6 nudging module diff_t_197102_gp_rmse.nc Spatial root mean square errors on all levels and at all outputs (6 hourly). RMSE between ECHAM6 output (echam6_nudging_grb_T63_197102.01_echam) and reference data (ndg_197102.nc) namelist.echam namelist used to run ECHAM6 nudging case, in which nudging is expected to only apply to layer 11 to 47. Four ECHAM6 outputs when nudging module is switched on echam6_nudging_grb_T63_197102.01_echam echam6_nudging_grb_T63_197102.01_echam.codes echam6_nudging_grb_T63_197102.01_nudg echam6_nudging_grb_T63_197102.01_nudg.codes Two log files generated by ECHAM6 executable r_nudging_err r_nudging_log
DOI: 10.5281/zenodo.6362898
title: CoMix social contact data (Spain)

description: CoMix social contact data for Spain. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Cristina Vilaplana at the Institute for Health Science Research Germans Trias i Pujol (IGTP) that acknowledges support from the SMA-TB Project from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847762.
DOI: 10.5281/zenodo.5040839
title: CoMix social contact data (Spain)

description: CoMix social contact data for Spain. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Cristina Vilaplana at the Institute for Health Science Research Germans Trias i Pujol (IGTP) that acknowledges support from the SMA-TB Project from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847762.
DOI: 10.5281/zenodo.6362899
title: CoMix social contact data (Denmark)

description: CoMix social contact data for Austria. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Michael Bang Petersen at Aarhus University.
DOI: 10.5281/zenodo.5040530
title: CoMix social contact data (Denmark)

description: CoMix social contact data for Austria. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Michael Bang Petersen at Aarhus University.
DOI: 10.5445/ir/1000145885
title: PRESLHY Experiment series 3.4

description: In the frame WP3.4 of the PRESLHY project 10 experiments on LH2-pool formation above different substrates have been performed with the POOL-facility on a free field-test site located a few kilometers to the north of KIT Campus North. Substrates to be investigated comprised concrete, sand, water and gravel. Four of the experiments were made with artificial side wind of known direction and known velocity to investigate the influence of side wind on the formation and evaporation of the LH2-pools.
DOI: 10.5281/zenodo.6362906
title: CoMix social contact data (Austria)

description: CoMix social contact data for Austria. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Andrea Schmidt at the Austrian National Public Health Institute.
DOI: 10.5281/zenodo.4775972
title: CoMix social contact data (Austria)

description: CoMix social contact data for Austria. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Andrea Schmidt at the Austrian National Public Health Institute.
DOI: 10.5281/zenodo.6535313
title: CoMix social contact data (Estonia)

description: CoMix social contact data for Estonia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Sigrid Vorobjov at the National Institute for Health Development.
DOI: 10.5281/zenodo.6535312
title: CoMix social contact data (Estonia)

description: CoMix social contact data for Estonia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Sigrid Vorobjov at the National Institute for Health Development.
DOI: 10.5281/zenodo.6535344
title: CoMix social contact data (Hungary)

description: CoMix social contact data for Hungary. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Gergely Röst at the University of Szeged.
DOI: 10.5281/zenodo.6535343
title: CoMix social contact data (Hungary)

description: CoMix social contact data for Hungary. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Gergely Röst at the University of Szeged.
DOI: 10.5281/zenodo.6535357
title: CoMix social contact data (Slovakia)

description: CoMix social contact data for Slovakia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Henrieta Hudečková at Comenius University in Bratislava.
DOI: 10.5281/zenodo.6535356
title: CoMix social contact data (Slovakia)

description: CoMix social contact data for Slovakia. We gratefully acknowledge the efforts of all teams involved in the implementation of the CoMix study in their country. More specifically: the team of Henrieta Hudečková at Comenius University in Bratislava.