cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19418547
title: Additional file 3 of Lipid and lipoprotein concentrations during pregnancy and associations with ethnicity

description: Additional file 3: Table S1a. Concentrations of lipids and lipoproteins (mmol/L) at gestational age (GA) 15 by ethnic groups. Values in mean and 95% CI. Table S1b. Concentrations of lipids and lipoproteins (mmol/L) at gestational age (GA) 28 by ethnic groups. Values in mean and 95% CI. Table S1c. Concentrations of lipids and lipoproteins (mmol/L) at 14 weeks postpartum by ethnic groups. Values in mean and 95% CI. Table S2a. Changes in concentrations of lipids and lipoproteins (mmol/L) from gestational age (GA) 15 to 28 by ethnic groups. Values in β and 95% CI. Table S2b. Changes in concentrations of lipids and lipoproteins (mmol/L) from gestational age (GA) 15 to 14 weeks postpartum by ethnic groups. Values in β and 95% CI.
DOI: 10.6084/m9.figshare.19418547.v1
title: Additional file 3 of Lipid and lipoprotein concentrations during pregnancy and associations with ethnicity

description: Additional file 3: Table S1a. Concentrations of lipids and lipoproteins (mmol/L) at gestational age (GA) 15 by ethnic groups. Values in mean and 95% CI. Table S1b. Concentrations of lipids and lipoproteins (mmol/L) at gestational age (GA) 28 by ethnic groups. Values in mean and 95% CI. Table S1c. Concentrations of lipids and lipoproteins (mmol/L) at 14 weeks postpartum by ethnic groups. Values in mean and 95% CI. Table S2a. Changes in concentrations of lipids and lipoproteins (mmol/L) from gestational age (GA) 15 to 28 by ethnic groups. Values in β and 95% CI. Table S2b. Changes in concentrations of lipids and lipoproteins (mmol/L) from gestational age (GA) 15 to 14 weeks postpartum by ethnic groups. Values in β and 95% CI.
DOI: 10.6084/m9.figshare.19418527
title: Additional file 2 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 2: Table S1. PropertiesDifferentPPIs: Properties of the different networks: We list here the properties of the networks we used for our analysis, where the HumanNet-FN was used for the main analysis. The networks are ordered by their size of the largest connected component. Network: Name of the network. Nodes: Number nodes in the network. Edges: Number of edges in the network. LCC Nodes: Number of nodes in the largest connected component of the network. LCC Edges: Number of edges in the largest connected component of the network. Website: website, where we downloaded the network (clickable). ConnectivityModulesInPPIs: Connectivity of modules in other PPIs: Using the genes of fetal lung methylation module and the two COPD modules we evaluatedconnectivity of the modules in the other PPIs. Network: The name ofnetwork. Fetal lung (50): The 50 genes of the fetal lung disease module were used for the analysis. COPD Meth (37): The 37 genes of the COPD methylation module were used for the analysis. COPD DE (64): The 64 genes of the COPD expression module were used for the analysis. LCC: The number of genes in the largest connected component (LCC) given by the genes ofdisease module. z-score: The z-score of the LCC in the network computed using the same number of nodes as in the disease modules randomly chosen from the network, where the degrees of the nodes were preserved. For example in the network BioGrid 32 genes of the fetal lung disease module (of sizeform a LCC. Thus 18 genes are not connected to this component. Note that HumanNet is the network where we computed the original modules.
DOI: 10.6084/m9.figshare.19418527.v1
title: Additional file 2 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 2: Table S1. PropertiesDifferentPPIs: Properties of the different networks: We list here the properties of the networks we used for our analysis, where the HumanNet-FN was used for the main analysis. The networks are ordered by their size of the largest connected component. Network: Name of the network. Nodes: Number nodes in the network. Edges: Number of edges in the network. LCC Nodes: Number of nodes in the largest connected component of the network. LCC Edges: Number of edges in the largest connected component of the network. Website: website, where we downloaded the network (clickable). ConnectivityModulesInPPIs: Connectivity of modules in other PPIs: Using the genes of fetal lung methylation module and the two COPD modules we evaluatedconnectivity of the modules in the other PPIs. Network: The name ofnetwork. Fetal lung (50): The 50 genes of the fetal lung disease module were used for the analysis. COPD Meth (37): The 37 genes of the COPD methylation module were used for the analysis. COPD DE (64): The 64 genes of the COPD expression module were used for the analysis. LCC: The number of genes in the largest connected component (LCC) given by the genes ofdisease module. z-score: The z-score of the LCC in the network computed using the same number of nodes as in the disease modules randomly chosen from the network, where the degrees of the nodes were preserved. For example in the network BioGrid 32 genes of the fetal lung disease module (of sizeform a LCC. Thus 18 genes are not connected to this component. Note that HumanNet is the network where we computed the original modules.
DOI: 10.6084/m9.figshare.19418530
title: Additional file 3 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 3: Table S2. The Table contains all the genes which are in the LCC of the HumanNet-FN.
DOI: 10.6084/m9.figshare.19418530.v1
title: Additional file 3 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 3: Table S2. The Table contains all the genes which are in the LCC of the HumanNet-FN.
DOI: 10.6084/m9.figshare.19418533
title: Additional file 4 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 4: Table S3. Each list contains the genes within the corresponding module if they can be associated to respiratory diseases according to the database DisGeNet or GWAS study. Genes that can be associated to asthma and/or COPD according to DisGeNet are highlighted in green. Genes that can be associated to COPD according to GWAS are highlighted in yellow. Genes associated with asthma and COPD are highlighted in blue.
DOI: 10.6084/m9.figshare.19418533.v1
title: Additional file 4 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 4: Table S3. Each list contains the genes within the corresponding module if they can be associated to respiratory diseases according to the database DisGeNet or GWAS study. Genes that can be associated to asthma and/or COPD according to DisGeNet are highlighted in green. Genes that can be associated to COPD according to GWAS are highlighted in yellow. Genes associated with asthma and COPD are highlighted in blue.
DOI: 10.6084/m9.figshare.19418536
title: Additional file 5 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 5: Table S4. The table contains the genes of each module and their p-values as well as fold changes from the data sets when available.
DOI: 10.6084/m9.figshare.19418536.v1
title: Additional file 5 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 5: Table S4. The table contains the genes of each module and their p-values as well as fold changes from the data sets when available.
DOI: 10.6084/m9.figshare.19418539
title: Additional file 6 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 6: Table S5. The table ontains the results for the enrichment analyses using different sets of genes.
DOI: 10.6084/m9.figshare.19418539.v1
title: Additional file 6 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 6: Table S5. The table ontains the results for the enrichment analyses using different sets of genes.
DOI: 10.6084/m9.figshare.19418542
title: Additional file 7 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 7: Table S6. Results from enrichment analysis using g:profiler and the genes in the module compute using only genes which are mapped to nominally differentially methylated CpG sites in the fetal lung methylation data set as well as in the COPD methylation data set, using the p-values of the fetal lung methylation data set (sheet 1) and the p-values of the COPD methylation data set (sheet 2).
DOI: 10.6084/m9.figshare.19418542.v1
title: Additional file 7 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 7: Table S6. Results from enrichment analysis using g:profiler and the genes in the module compute using only genes which are mapped to nominally differentially methylated CpG sites in the fetal lung methylation data set as well as in the COPD methylation data set, using the p-values of the fetal lung methylation data set (sheet 1) and the p-values of the COPD methylation data set (sheet 2).
DOI: 10.6084/m9.figshare.19418545
title: Additional file 8 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 8: Table S7. All genes and their degrees which are in one of the three modules. Their degrees in the subnetwork consisting of the three modules, the number of functional and physical edges connected to them and the corresponding p-values.
DOI: 10.6084/m9.figshare.19418545.v1
title: Additional file 8 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 8: Table S7. All genes and their degrees which are in one of the three modules. Their degrees in the subnetwork consisting of the three modules, the number of functional and physical edges connected to them and the corresponding p-values.
DOI: 10.6084/m9.figshare.19418548
title: Additional file 9 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 9: Table S8. Details of the results using the method applied to the different data sets to compute the modules.
DOI: 10.6084/m9.figshare.19418548.v1
title: Additional file 9 of Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

description: Additional file 9: Table S8. Details of the results using the method applied to the different data sets to compute the modules.
DOI: 10.6084/m9.figshare.19418593
title: Additional file 2 of The heat is on: a simple method to increase genome editing efficiency in plants

description: Additional file 2: Table S1. List of targets per vector construct. Table S2. Complete list of generated vectors (entry, destination and expression). Table S3. List of cloning primers and gBlock sequence.
DOI: 10.6084/m9.figshare.19418593.v1
title: Additional file 2 of The heat is on: a simple method to increase genome editing efficiency in plants

description: Additional file 2: Table S1. List of targets per vector construct. Table S2. Complete list of generated vectors (entry, destination and expression). Table S3. List of cloning primers and gBlock sequence.
DOI: 10.6084/m9.figshare.19418623
title: Additional file 6 of Genetic characterization of atypical porcine pestivirus from neonatal piglets with congenital tremor in Hubei province, China

description: Additional file 6: Sanger sequencing peak maps. The base quality values were shown in the Sanger sequencing peak maps.
DOI: 10.6084/m9.figshare.19418623.v1
title: Additional file 6 of Genetic characterization of atypical porcine pestivirus from neonatal piglets with congenital tremor in Hubei province, China

description: Additional file 6: Sanger sequencing peak maps. The base quality values were shown in the Sanger sequencing peak maps.
DOI: 10.6084/m9.figshare.19418644
title: Additional file 1 of Feasibility of non-invasive recording of somatosensory evoked potential in pigs

description: Additional file 1. Dataset supporting the conclusions of this article.
DOI: 10.6084/m9.figshare.19418644.v1
title: Additional file 1 of Feasibility of non-invasive recording of somatosensory evoked potential in pigs

description: Additional file 1. Dataset supporting the conclusions of this article.
DOI: 10.6084/m9.figshare.19418649
title: Additional file 1 of Osteosarcoma of the bladder: a case report

description: Additional file 1. Clinical characteristics of 38 cases of bladder osteosarcoma.
DOI: 10.6084/m9.figshare.19418649.v1
title: Additional file 1 of Osteosarcoma of the bladder: a case report

description: Additional file 1. Clinical characteristics of 38 cases of bladder osteosarcoma.
DOI: 10.6084/m9.figshare.19418664
title: Additional file 1 of Phylogeography of the parasitic mite Laelaps agilis in Western Palearctic shows lineages lacking host specificity but possessing different demographic histories

description: Additional file 1.
DOI: 10.6084/m9.figshare.19418664.v1
title: Additional file 1 of Phylogeography of the parasitic mite Laelaps agilis in Western Palearctic shows lineages lacking host specificity but possessing different demographic histories

description: Additional file 1.
DOI: 10.6084/m9.figshare.19418090
title: Dataset - Trends in global and Indonesia geothermal research (1970-present)

description: This dataset is related to a paper that will be presented later this year in ITB International Geothermal Workshop 2022.
DOI: 10.5281/zenodo.6383711
title: Alpha-2-macroglobulin, an infection resistant biomarker in Epinephelus fuscoguttatus (Forsskål, 1775)

description: Data availability
DOI: 10.5281/zenodo.6383710
title: Alpha-2-macroglobulin, an infection resistant biomarker in Epinephelus fuscoguttatus (Forsskål, 1775)

description: Data availability
DOI: 10.25403/upresearchdata.12941840
title: Microsatellite genotypes for three Ficus species

description: Microsatellite genotypes of 541 individual trees: 8 loci in 108 F. bizanae, 12 loci in 247 F. craterostoma and 10 loci in 186 F sur collected from seven natural forests in the Eastern Cape and KwaZulu-Natal provinces of South Africa.
DOI: 10.25403/upresearchdata.12941840.v1
title: Microsatellite genotypes for three Ficus species

description: Microsatellite genotypes of 541 individual trees: 8 loci in 108 F. bizanae, 12 loci in 247 F. craterostoma and 10 loci in 186 F sur collected from seven natural forests in the Eastern Cape and KwaZulu-Natal provinces of South Africa.
DOI: 10.6084/m9.figshare.19418936
title: Table S1. Reported cases of male-killers and their hosts from Sex determination systems as the interface between male-killing bacteria and their hosts

description: Reported cases of male-killers and their hosts
DOI: 10.6084/m9.figshare.19418936.v1
title: Table S1. Reported cases of male-killers and their hosts from Sex determination systems as the interface between male-killing bacteria and their hosts

description: Reported cases of male-killers and their hosts
DOI: 10.6084/m9.figshare.19418939
title: Table S2. Comparison of host suppression of male-killing cases from Sex determination systems as the interface between male-killing bacteria and their hosts

description: Comparison of host suppression of male-killing cases
DOI: 10.6084/m9.figshare.19418939.v1
title: Table S2. Comparison of host suppression of male-killing cases from Sex determination systems as the interface between male-killing bacteria and their hosts

description: Comparison of host suppression of male-killing cases
DOI: 10.48370/ofd/iet0sw
title: Groszek wschodniokarpacki (Lathyrus laevigatus (Waldst. Kit.) Gren.), 6509

description: Herbarium
DOI: 10.6084/m9.figshare.19418942
title: The tables supporting this article from Distinct body-size responses to warming climate in three rodent species

description: Supporting tables
DOI: 10.6084/m9.figshare.19418942.v1
title: The tables supporting this article from Distinct body-size responses to warming climate in three rodent species

description: Supporting tables
DOI: 10.5281/zenodo.6383764
title: data for Thermodynamics of correlated electrons in a magnetic field

description: DQMC data and Jupyter/Python data analysis scripts
DOI: 10.5281/zenodo.5705519
title: data for Thermodynamics of correlated electrons in a magnetic field

description: DQMC data and Jupyter/Python data analysis scripts
DOI: 10.34808/ct61-j173
title: 2 Latin letters by Georg Pauli (b.1586-d.1650) - transcription, translation and photographs

description: The data set contains two Latin letters by Georg Pauli (b. 1586 – d. 1650) to his brother Adrian (d. 1622) in photographs, transcriptions, and translations into Polish and English. The first letter was sent by Georg from Gdańsk (formerly Danzig) in 1604 when he was still a student at the local Academic Gymnasium. The second one, in turn, was written in Heidelberg (The Holy Roman Empire) three years later. The letters were sent to Adrian, when he was in Montpellier (Kingdom of France) pursuing medical studies.
The letters are held by the Gdańsk Library of the Polish Academy of Sciences as a part of manuscript with reference number Ms. 2450 (pages 373-378). Together with six other letters, they are among the oldest ones in the collection of correspondence of five members of the former Pauli family from Gdańsk (most of the letters were originally written between 1660 and 1680). All the letters from the manuscript Ms. 2540 are not originals. They were copied by an unknown person, not necessarily related to the Pauli family (although we cannot exclude a family connection completely). It seems that the copyist not only intended to save the originals (or earlier copies), he (or less likely she) might have also wanted to create a model set of correspondence for educated readers. For both reasons, the collection may have ended up in the library of Valentin Schlieff (1680-1750), a former historian and book collector from Gdańsk.
In this version of the data set, the transcription partly reflects an original orthography (e.g., we have kept the letter j) and partly follows the spelling recommended by the currently used Latin dictionaries. We acted differently with punctuation: since the original rhetorical punctuation (with cola and commata segments) is visible on the photographs, in the transcription usually we placed punctuation marks following the rules currently used in Polish.  
The transcription and translation are the results of classes in textual criticism and editing techniques of Neo-Latin texts.
Nota Bene! If you intend to use the photographs included in this data set, we kindly advise you to indicate that the photographed manuscript belongs to the collection of the Gdańsk Library of the Polish Academy of Sciences.
DOI: 10.34808/cx4h-nc05
title: Molecular differences in mitochondrial DNA (mtDNA) genomes of dogs with malignant mammary tumours

description: The aim of this study was to determine molecular defects in mitochondrial DNA with the use of large-scale genome analysis in malignant canine mammary gland tumours and indicate whether these changes were linked with the carcinogenesis process. With the use of the NGS technology, we sequenced 27 samples of mtDNA isolated from blood and tumours obtained from 13 dogs with mammary gland tumours. The total number of mutations and polymorphisms in the analysed mitochondrial genomes was 557. We identified 383 single nucleotide polymorphisms (SNP), 32 indels (or length polymorphisms), 4 mutations, 137 heteroplasmic positions, and 1 indel mutation. The highest variability (132 changes) was observed in the variable number of tandem repeats (VNTR) region. The heteroplasmy rate in VNTR varied among individuals and even between two tumours in one organism. Our previous study resulted in determination of a probable CpG island in this region, thus it is not excluded that these changes might alter mtDNA methylation. Only the ATP8 gene was not affected by any polymorphisms or mutations, whereas the COX1 gene had the highest number of polymorphisms from all protein-coding genes. One change m.13594G&gt;A affected two genes ND5 and ND6, from which a deleterious effect was observed for the ND5 protein. Molecular changes were frequently observed in the TΨC loop, which is thought to interact with ribosomal RNA. Deleterious defects in mtDNA might destabilize cells, as the reactive oxygen species generated in the oxidative phosphorylation process might provoke mutations in nuclear DNA
DOI: 10.34808/59kw-3630
title: TRNA-Leu (UUR) gene haplotypes observed in canine mammary gland tumours and its deleterious effect assessment according to the comparative analysis with TRNL1 human gene

description: The aetiology and pathogenesis of many canine tumours are likely to be similar to cancers found in humans. This study aimed to present a plausible link between changes in tRNA-Leu (UUR) gene and the carcinogenesis process in dogs with mammary gland tumours. The whole mitochondrial DNA (mtDNA) isolated from blood and tumour tissues of 13 dogs with malig-nant mammary gland tumours was sequenced. The conducted analyses showed two polymor-phisms: m.2678_2679insG and m.2683G&gt;A, located in tRNA-Leu (UUR) gene. We compared the reference sequences of human and canine mtDNA with the use of alignment algorithms in order to find similarities. The homology between human TRNL1 and canine tRNA Leu (UUR) gene was 84%. After resequencing of the whole mitochondrial DNA genome with the use of NGS technology, two polymorphisms in two haplotypes were identified: m.2683G&gt;A (observed in 18 out of 27 samples) and m.2678_2679insG (27 out of 27 samples). The polymorphism m.2683G&gt;A corresponded with deleterious change at m.3243A&gt;G, which is linked with MELAS (Mitochondrial Encephalomyopathy, Lactis Acidose, Stroke-like episodes) syndrome and with different types of cancers in humans as well. The comparative analysis of TRNL1 and tRNA Leu (UUR) led us to hypothesise that the polymorphisms m.2678_2679insG and m.2683G&gt;A might influence on dog’s condition and might be linked with tumorigenesis as it was observed in humans.
DOI: 10.48370/ofd/a2sffo
title: Groszek wschodniokarpacki (Lathyrus laevigatus (Waldst. Kit.) Gren.), 9334

description: Herbarium
DOI: 10.14278/rodare.1491
title: Dataset: spatially resolved temperature distribution in a rare-earth-doped transparent glass-ceramic

description: Dataset of glass-ceramic temperature-dependent fluorescence emission used for the calibration of the time measurements of spatially resolved temperature distribution in rare-earth-doped glass-ceramic materials for the studies of thermal processes within optically transparent materials.
DOI: 10.14278/rodare.1490
title: Dataset: spatially resolved temperature distribution in a rare-earth-doped transparent glass-ceramic

description: Dataset of glass-ceramic temperature-dependent fluorescence emission used for the calibration of the time measurements of spatially resolved temperature distribution in rare-earth-doped glass-ceramic materials for the studies of thermal processes within optically transparent materials.