cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30552950
title: Supplementary Material for: Trends and Independent Correlates of Chronic Kidney Disease Awareness in United States Adults: NHANES 1999-2020

description: Introduction: Chronic kidney disease (CKD) is a public health and economic burden with serious adverse health outcomes and extremely low awareness. Current evidence on independent correlates of CKD awareness is inconsistent and recent data examining time trends of CKD awareness in the U.S. are dated. The aims of our study are to examine time trends in CKD awareness from 1999 to 2020 and examine independent correlates of CKD awareness in U.S. adults with CKD.
Methods: We analyzed data from the National Health and Nutrition Examination Survey (1999-2020). The study sample consisted of 9,825 U.S. adults with CKD. The primary outcome was CKD awareness. Independent correlates included sociodemographic, comorbidity and clinical variables. Unadjusted and adjusted logistic regression models were used to examine the association of CKD awareness and covariates.
Results: CKD awareness did not change significantly from 1999 (9.4%) to 2020 (10.8%). Fully adjusted model showed male sex (OR 1.41, 95% CI [1.09, 1.84]), non-Hispanic black race/ethnicity (OR 1.73, 95% CI [1.36, 2.20]), multimorbidity (OR 2.92, 95% CI [2.01, 4.25]), having high risk CKD (OR 2.06, 95% CI [1.57, 2.70]), and very high-risk CKD (OR 5.38, 95% CI [3.99, 7.25]) were associated with higher likelihood of CKD awareness. However, age, education, and insurance were not significantly associated with CKD awareness. 
Discussion: During the two decades examined in this study CKD awareness remains extremely low. More prospective studies are needed to understand patient-level barriers to CKD awareness and provider-level barriers to CKD screening, CKD education, and knowledge transfer.
DOI: 10.6084/m9.figshare.30552950.v1
title: Supplementary Material for: Trends and Independent Correlates of Chronic Kidney Disease Awareness in United States Adults: NHANES 1999-2020

description: Introduction: Chronic kidney disease (CKD) is a public health and economic burden with serious adverse health outcomes and extremely low awareness. Current evidence on independent correlates of CKD awareness is inconsistent and recent data examining time trends of CKD awareness in the U.S. are dated. The aims of our study are to examine time trends in CKD awareness from 1999 to 2020 and examine independent correlates of CKD awareness in U.S. adults with CKD.
Methods: We analyzed data from the National Health and Nutrition Examination Survey (1999-2020). The study sample consisted of 9,825 U.S. adults with CKD. The primary outcome was CKD awareness. Independent correlates included sociodemographic, comorbidity and clinical variables. Unadjusted and adjusted logistic regression models were used to examine the association of CKD awareness and covariates.
Results: CKD awareness did not change significantly from 1999 (9.4%) to 2020 (10.8%). Fully adjusted model showed male sex (OR 1.41, 95% CI [1.09, 1.84]), non-Hispanic black race/ethnicity (OR 1.73, 95% CI [1.36, 2.20]), multimorbidity (OR 2.92, 95% CI [2.01, 4.25]), having high risk CKD (OR 2.06, 95% CI [1.57, 2.70]), and very high-risk CKD (OR 5.38, 95% CI [3.99, 7.25]) were associated with higher likelihood of CKD awareness. However, age, education, and insurance were not significantly associated with CKD awareness. 
Discussion: During the two decades examined in this study CKD awareness remains extremely low. More prospective studies are needed to understand patient-level barriers to CKD awareness and provider-level barriers to CKD screening, CKD education, and knowledge transfer.
DOI: 10.15468/dl.92uk5p
title: Occurrence Download

description: A dataset containing 155166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates catesbeianus"
 ]
}

 The dataset includes 155166 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019493-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.28741406
title: CUSUM analysis of Fluidised Bed Dryer of Continuous Pharma Tablet Line

description: Pharmaceutical companies are increasingly dedicated to reducing energy consumption and enhancing sustainability to meet net-zero emissions targets. Achieving these objectives involves substantial research and development efforts. Digital Twins (DT) and Industry 4.0 technologies offer significant potential to optimise processes, improving both cost-effectiveness and sustainability.This study integrates energy management techniques and statistical analysis within a Digital Twin framework, aiming to enhance process sustainability without compromising product quality. We examine a semi-continuous fluidised bed dryer (FBD) unit incorporated into a GEA Consigma-25 pharmaceutical manufacturing line at the Diamond Pilot Plant (DiPP), University of Sheffield. Experimental energy consumption data from the dryer, combined with digital twin data, were analysed using the Cumulative Sum (CUSUM) deviation method to identify areas of potential energy savings. A novel Energy Performance Indicator (EnPI) for the FBD is proposed to monitor product moisture content against energy usage. The analysis revealed that maintaining drying air temperature at 60°C delivered better-than-expected energy efficiency, even when the liquid-to-solid ratio varied from 0.18 to 0.3.The integration of digital twin technology with CUSUM analysis proved effective for reviewing energy performance changes, allowing precise determination of energy targets that balance efficiency and product quality.
DOI: 10.15131/shef.data.28741406.v1
title: CUSUM analysis of Fluidised Bed Dryer of Continuous Pharma Tablet Line

description: Pharmaceutical companies are increasingly dedicated to reducing energy consumption and enhancing sustainability to meet net-zero emissions targets. Achieving these objectives involves substantial research and development efforts. Digital Twins (DT) and Industry 4.0 technologies offer significant potential to optimise processes, improving both cost-effectiveness and sustainability.This study integrates energy management techniques and statistical analysis within a Digital Twin framework, aiming to enhance process sustainability without compromising product quality. We examine a semi-continuous fluidised bed dryer (FBD) unit incorporated into a GEA Consigma-25 pharmaceutical manufacturing line at the Diamond Pilot Plant (DiPP), University of Sheffield. Experimental energy consumption data from the dryer, combined with digital twin data, were analysed using the Cumulative Sum (CUSUM) deviation method to identify areas of potential energy savings. A novel Energy Performance Indicator (EnPI) for the FBD is proposed to monitor product moisture content against energy usage. The analysis revealed that maintaining drying air temperature at 60°C delivered better-than-expected energy efficiency, even when the liquid-to-solid ratio varied from 0.18 to 0.3.The integration of digital twin technology with CUSUM analysis proved effective for reviewing energy performance changes, allowing precise determination of energy targets that balance efficiency and product quality.
DOI: 10.15468/dl.ut3xwn
title: Occurrence Download

description: A dataset containing 72675 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Hydrocotyle blepharocarpa, Quercus ajoensis, Onosma neglecta, Onosma nana, Onosma kaheirei, Onosma polyantha, Onosma caespitosa, Quercus cedrosensis, Polygala polyedra, Scaevola angustata, Petrophile vana, Jurinea brevicaulis, Jurinea glycacantha, Eragrostis barrelieri, Eragrostis crateriformis, Eragrostis laniflora, Polygala teretifolia, Scaevola virgata, Zephyra compacta, Hydrocotyle callicarpa, Leucopogon polymorphus, Leucopogon distans, Corchorus drysdalensis, Priva meyeri, Quercus townei, Eragrostis rotifer, Triodia scariosa, Niphaea pumila, Pseudoselago caerulescens, Stackhousia pulvinaris, Eragrostis boriana, Crinum moorei, Thryptomene nitida, Leucopogon polystachyus, Onosma frutescens, Onosma aaronsohnii, Stylidium semaphorum, Carex nervina, Carex klamathensis, Crotalaria eriocarpa, Dodonaea physocarpa, Dodonaea stenozyga, Dodonaea truncatiales, Alstroemeria marticorenae, Carex gordon-grayae, Striga multiflora, Desmocladus castaneus, Carex bajacalifornica, Philippiella patagonica, Penaea dubia, Tulipa cinnabarina, Crotalaria polyphylla, Crotalaria sphaerocarpa, Carex archeri, Carex rhodesiaca, Carex sartwelliana, Carex schimperiana, Alstroemeria graminea, Alstroemeria poetica, Lapeirousia jacquinii, Tamarix usneoides, Spyridium tricolor, Spyridium minutum, Stylidium glandulosissimum, Stylidium gloeophyllum, Asphodelus bento-rainhae, Cliffortia dispar, Cliffortia drepanoides, Cliffortia hermaphroditica, Cliffortia hirta, Cliffortia paucistaminea, Cliffortia phillipsii, Cliffortia sericea, Isopogon formosus, Tragopogon latifolius, Actinanthus syriacus, Stylidium saintpaulioides, Stachys corsica, Stachys menthifolia, Stachys spruneri, Stachys tundjeliensis, Carex cretica, Carex distachya, Carex helodes, Carex hendersonii, Carex patagonica, Carex phyllostachys, Carex planostachys, Carex pumila, Carex xanthocarpa, Carex beckmannii, Panicum capillare, Panicum coloratum, Panicum majusculum, Tulipa koyuncui, Tamarix boveana, Carex cephalotes, Stylidium ceratophorum, Stylidium guttatum, Stylidium leeuwinense)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 72675 records from 953 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019525-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/dv7j-2q92
title: "Buy Dilaudid Online Transparent Purchase Guarantee"

description: "Visit Site: https:\/\/tinyurl.com\/solmedzBuy Dilaudid Online from a dependable digital pharmacy that values quality, authenticity, and fast delivery across the United States. This trusted pain management option is recognized for its strength and controlled composition, assisting users who require genuine medication from a reliable source. Each order is processed discreetly, ensuring full privacy and accurate shipment handling. By choosing an approved supplier, users can receive their medication safely and on time, avoiding the risks of counterfeit sources."
DOI: 10.5281/zenodo.17541945
title: DAO Analyzer dataset

description: DAO-Analyzer's dataset.


Explore data from Decentralized Autonomous Organizations deployed on the DAOstack, DAOhaus and Aragon platforms.
description: DAO-Analyzer is created under the umbrella of multiple research projects:



Chain Community, funded by the Spanish Ministry of Science and Innovation (RTI2018‐096820‐A‐I00) and led by Javier Arroyo and Samer Hassan

P2P Models, funded by the European Research Council (ERC-2017-STG 625 grant no.: 75920), led by Samer Hassan.

DAOapplications, funded by the Spanish Ministry of Science and Innovation (PID2021-127956OB-I00) and led by Javier Arroyo, Samer Hassan and maria Cruz Valiente
DOI: 10.5281/zenodo.17541931
title: Anesthesia and Respiratory Devices Market Size, Share, Analysis Report

description: Anesthesia and Respiratory Devices Market By Products Analysis (Anesthesia devices, Anesthesia Disposables, Anesthesia Machines, Respiratory devices, Respiratory Equipments, Respiratory Disposables, Respiratory Measurement Devices) and By Regional Analysis – Global Forecast by





The Global Anesthesia and Respiratory Devices Market is expected to be around US$ 58 Billion in 2028 at a CAGR of 10% in the given forecast period.
DOI: 10.5281/zenodo.17541930
title: Anesthesia and Respiratory Devices Market Size, Share, Analysis Report

description: Anesthesia and Respiratory Devices Market By Products Analysis (Anesthesia devices, Anesthesia Disposables, Anesthesia Machines, Respiratory devices, Respiratory Equipments, Respiratory Disposables, Respiratory Measurement Devices) and By Regional Analysis – Global Forecast by





The Global Anesthesia and Respiratory Devices Market is expected to be around US$ 58 Billion in 2028 at a CAGR of 10% in the given forecast period.
DOI: 10.15468/dl.dyv8ay
title: Occurrence Download

description: A dataset containing 213198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus laurocerasus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213198 records from 1070 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019504-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57907/mirri/8d7cnj
title: MIRRI0157778

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4925 ; Country: Greece
DOI: 10.57907/mirri/9ddnab
title: MIRRI0157201

description: Organism type: Yeast ; Taxon name: Aspergillus flavus ; Collection: UOA/HCPF 11754 ; Country: Greece
DOI: 10.57907/mirri/9ddnab/moskpn
title: MIRRI0157201.json

description: Strain json file
DOI: 10.57907/mirri/a5jjwi/yjrids
title: MIRRI0159428.json

description: Strain json file
DOI: 10.57907/mirri/bjasat/jn1b23
title: MIRRI0157765.json

description: Strain json file
DOI: 10.57907/mirri/cionhv
title: MIRRI0157218

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4649Β ; Country: Greece
DOI: 10.57907/mirri/cvmqcr
title: MIRRI0157209

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 11776 ; Country: Greece
DOI: 10.57907/mirri/e0r58a/qf1jhl
title: MIRRI0157740.json

description: Strain json file
DOI: 10.57907/mirri/ezj20j/9fzwxk
title: MIRRI0158174.json

description: Strain json file
DOI: 10.57907/mirri/g8viem
title: MIRRI0157756

description: Organism type: Yeast ; Taxon name: Malassezia furfur ; Collection: UOA/HCPF 14953 ; Country: Greece
DOI: 10.57907/mirri/gxyclt/f2ddmf
title: MIRRI0157188.json

description: Strain json file
DOI: 10.57907/mirri/hv2i1t
title: MIRRI0157213

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4645 ; Country: Greece
DOI: 10.57907/mirri/icdrgs/3iem9p
title: MIRRI0157868.json

description: Strain json file
DOI: 10.57907/mirri/imss8d/e2urun
title: MIRRI0157176.json

description: Strain json file
DOI: 10.57907/mirri/jvarjf
title: MIRRI0157743

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 14936 ; Country: Greece
DOI: 10.57907/mirri/jwt3fq/d8rt8n
title: MIRRI0159432.json

description: Strain json file
DOI: 10.57907/mirri/jzxz9o/bba7kh
title: MIRRI0157755.json

description: Strain json file
DOI: 10.57907/mirri/k5yoar/feh77b
title: MIRRI0157723.json

description: Strain json file
DOI: 10.57907/mirri/kkgajk/k44ued
title: MIRRI0157777.json

description: Strain json file
DOI: 10.57907/mirri/lf1pgq/er1qlt
title: MIRRI0157185.json

description: Strain json file
DOI: 10.57907/mirri/lqatrg/iybdhq
title: MIRRI0157173.json

description: Strain json file
DOI: 10.57907/mirri/m6utji
title: MIRRI0157194

description: Organism type: Yeast ; Taxon name: Malassezia furfur ; Collection: UOA/HCPF 11747 ; Country: Greece
DOI: 10.57907/mirri/mnd3jt/hav7eb
title: MIRRI0157759.json

description: Strain json file
DOI: 10.57907/mirri/mw8ouc/97w0kb
title: MIRRI0157748.json

description: Strain json file
DOI: 10.57907/mirri/n7vtfl/bzkjdh
title: MIRRI0157216.json

description: Strain json file
DOI: 10.57907/mirri/nyz0ad
title: MIRRI0157758

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 14957 ; Country: Greece
DOI: 10.57907/mirri/olkkml/pjilt1
title: MIRRI0157220.json

description: Strain json file
DOI: 10.57907/mirri/pag7pe/tsqqv6
title: MIRRI0157760.json

description: Strain json file
DOI: 10.57907/mirri/q2iu1o
title: MIRRI0157243

description: Organism type: Yeast ; Taxon name: Candida krusei ; Collection: UOA/HCPF 4753A ; Country: Greece
DOI: 10.57907/mirri/qca2p7/sepmcv
title: MIRRI0157274.json

description: Strain json file
DOI: 10.57907/mirri/qhii98
title: MIRRI0157750

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 14946 ; Country: Greece
DOI: 10.57907/mirri/rexual
title: MIRRI0157184

description: Organism type: Yeast ; Taxon name: Stemphylium ; Collection: UOA/HCPF 11675 ; Country: Greece
DOI: 10.57907/mirri/rexual/6yg1cq
title: MIRRI0157184.json

description: Strain json file
DOI: 10.57907/mirri/rtkz9h/auzndo
title: MIRRI0157771.json

description: Strain json file
DOI: 10.57907/mirri/s6ffht/kgbw9i
title: MIRRI0159439.json

description: Strain json file
DOI: 10.57907/mirri/s91q6b/ofx12m
title: MIRRI0157228.json

description: Strain json file
DOI: 10.57907/mirri/snnxww
title: MIRRI0157290

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4881 ; Country: Greece
DOI: 10.57907/mirri/trtwkf/aucx8e
title: MIRRI0157183.json

description: Strain json file
DOI: 10.57907/mirri/uoimrc
title: MIRRI0158199

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4000 ; Country: Greece
DOI: 10.57907/mirri/v1fohw
title: MIRRI0157798

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4973 ; Country: Greece
DOI: 10.57907/mirri/v1fohw/bo2qes
title: MIRRI0157798.json

description: Strain json file
DOI: 10.57907/mirri/wdlv7y/i4jlym
title: MIRRI0157166.json

description: Strain json file
DOI: 10.57907/mirri/yvpfcd/yc7ylm
title: MIRRI0158163.json

description: Strain json file
DOI: 10.57907/mirri/zbkrku/wgzahf
title: MIRRI0157162.json

description: Strain json file
DOI: 10.57907/mirri/zjgajc
title: MIRRI0157207

description: Organism type: Yeast ; Taxon name: Malassezia furfur ; Collection: UOA/HCPF 11773 ; Country: Greece
DOI: 10.57907/mirri/zk5o7h/yooia3
title: MIRRI0159421.json

description: Strain json file
DOI: 10.57907/mirri/zshvas/g5iygt
title: MIRRI0157177.json

description: Strain json file
DOI: 10.57907/mirri/zu2rf1/dotpyq
title: MIRRI0157807.json

description: Strain json file
DOI: 10.15468/dl.zdvsqj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactyloctenium aegyptium",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068048-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/who995/dknhzq
title: 031_Skyrmion_B200526_2_15_20231101.ppms

description: :unav
DOI: 10.3535/1jb-be5-92b
title: Neea bangii Rusby

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kkt-j4v-p64
title: Telmatoblechnum serrulatum (Rich.) Perrie, D. J. Ohlsen & Brownsey

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/5ilqmb
title: MIRRI0158261

description: Organism type: Yeast ; Taxon name: Candida tropicalis ; Collection: UOA/HCPF 5440 ; Country: Greece
DOI: 10.57907/mirri/70lns6/lxlgha
title: MIRRI0158195.json

description: Strain json file
DOI: 10.57907/mirri/eenues/zposjs
title: MIRRI0157233.json

description: Strain json file
DOI: 10.57907/mirri/fuzkr9
title: MIRRI0157246

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4756 ; Country: Greece
DOI: 10.57907/mirri/ky5zvz
title: MIRRI0158235

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5305 ; Country: Greece
DOI: 10.57907/mirri/lqihke
title: MIRRI0158188

description: Organism type: Yeast ; Taxon name: Candida sake ; Collection: UOA/HCPF 3972A ; Country: Greece
DOI: 10.57907/mirri/mbrk6e
title: MIRRI0158238

description: Organism type: Yeast ; Taxon name: Candida glabrata ; Collection: UOA/HCPF 5310A ; Country: Greece
DOI: 10.57907/mirri/oxz8cr
title: MIRRI0158229

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5285 ; Country: Greece
DOI: 10.57907/mirri/rhkk5i/cyabxn
title: MIRRI0158189.json

description: Strain json file
DOI: 10.57907/mirri/tsdppl
title: MIRRI0158184

description: Organism type: Yeast ; Taxon name: Yarrowia lipolytica ; Collection: UOA/HCPF 3961 ; Country: Greece
DOI: 10.57907/mirri/ty3tzm
title: MIRRI0158191

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 3974 ; Country: Greece
DOI: 10.57907/mirri/uaxptb
title: MIRRI0158217

description: Organism type: Yeast ; Taxon name: Candida glabrata ; Collection: UOA/HCPF 4032A ; Country: Greece
DOI: 10.57907/mirri/ux25dm/s2xv1o
title: MIRRI0157316.json

description: Strain json file
DOI: 10.57907/mirri/xlntie/wvvqib
title: MIRRI0157223.json

description: Strain json file
DOI: 10.25625/who995/kraghf
title: 022_Skyrmion_B200526_2_15_20231101.ppms

description: :unav
DOI: 10.3535/7mz-9rv-q22
title: Bipinnula gibertii Rchb.f.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/affgvx
title: MIRRI0157231

description: Organism type: Yeast ; Taxon name: Candida tropicalis ; Collection: UOA/HCPF 4687B ; Country: Greece
DOI: 10.57907/mirri/brgsgg
title: MIRRI0157817

description: Organism type: Yeast ; Taxon name: Candida glabrata ; Collection: UOA/HCPF 5077B ; Country: Greece
DOI: 10.57907/mirri/d96lfv
title: MIRRI0157258

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4787 ; Country: Greece
DOI: 10.57907/mirri/elfz2u
title: MIRRI0157222

description: Organism type: Yeast ; Taxon name: Candida globosa ; Collection: UOA/HCPF 4655 ; Country: Greece
DOI: 10.57907/mirri/esnwf7
title: MIRRI0157224

description: Organism type: Yeast ; Taxon name: Candida tropicalis ; Collection: UOA/HCPF 4659 ; Country: Greece
DOI: 10.57907/mirri/estdle
title: MIRRI0157239

description: Organism type: Yeast ; Taxon name: Eurotium chevalieri ; Collection: UOA/HCPF 4723B ; Country: Greece
DOI: 10.57907/mirri/evg1vc
title: MIRRI0157788

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4944 ; Country: Greece
DOI: 10.57907/mirri/ggnpmu
title: MIRRI0157833

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5140 ; Country: Greece
DOI: 10.57907/mirri/gsfo1k/s7ozjk
title: MIRRI0157796.json

description: Strain json file
DOI: 10.57907/mirri/gvld7u
title: MIRRI0157234

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 4693 ; Country: Greece
DOI: 10.57907/mirri/isczu6
title: MIRRI0157835

description: Organism type: Yeast ; Taxon name: Candida glabrata ; Collection: UOA/HCPF 5148A ; Country: Greece
DOI: 10.57907/mirri/kxxj81/vtzffb
title: MIRRI0157830.json

description: Strain json file
DOI: 10.57907/mirri/lqszgg
title: MIRRI0157858

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5200 ; Country: Greece
DOI: 10.57907/mirri/mbzddi/lnqzzt
title: MIRRI0157827.json

description: Strain json file
DOI: 10.57907/mirri/nytzbm/z26anu
title: MIRRI0157800.json

description: Strain json file
DOI: 10.57907/mirri/pbeup7/1t7kxf
title: MIRRI0157221.json

description: Strain json file
DOI: 10.57907/mirri/pzyinj
title: MIRRI0157813

description: Organism type: Yeast ; Taxon name: Aspergillus flavus ; Collection: UOA/HCPF 5055 ; Country: Greece
DOI: 10.57907/mirri/qrqohl
title: MIRRI0157874

description: Organism type: Yeast ; Taxon name: Candida albicans ; Collection: UOA/HCPF 5881 ; Country: Greece
DOI: 10.57907/mirri/snnxww/lilael
title: MIRRI0157290.json

description: Strain json file
DOI: 10.57907/mirri/t2dxsn/9gy91u
title: MIRRI0157237.json

description: Strain json file