cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4640911
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_2.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640914
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_3.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640920.v1
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_5.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640917.v1
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_4.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640908
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_1.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640911.v1
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_2.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640914.v1
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_3.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640905
title: default_2014Jun10-094619_STM-STM_Spectroscopy--60_1.Z_flat

description: Sample=Silicene/100sec depo;CreationComment=
DOI: 10.6084/m9.figshare.4640899
title: default_2014Apr12-123238_STM-STM_Spectroscopy--60_2.Z_flat

description: Sample=Si/Silicene_20140412;CreationComment=
DOI: 10.6084/m9.figshare.4640902
title: default_2014Jun10-094619_STM-STM_Spectroscopy--113_6.Z_flat

description: Sample=Silicene/100sec depo;CreationComment=
DOI: 10.6084/m9.figshare.4640908.v1
title: default_2014Apr11-125821_STM-STM_Spectroscopy--3_1.I(V)_flat

description: Sample=Si/Silicene_20140411;CreationComment=
DOI: 10.6084/m9.figshare.4640905.v1
title: default_2014Jun10-094619_STM-STM_Spectroscopy--60_1.Z_flat

description: Sample=Silicene/100sec depo;CreationComment=
DOI: 10.6084/m9.figshare.4640893
title: default_2014Apr15-100445_STM-STM_Spectroscopy--24_1.Z_flat

description: Sample=Si/Silicene_20140415;CreationComment=
DOI: 10.6084/m9.figshare.4640896
title: default_2014Apr12-123238_STM-STM_Spectroscopy--56_1.Z_flat

description: Sample=Si/Silicene_20140412;CreationComment=
DOI: 10.6084/m9.figshare.4640902.v1
title: default_2014Jun10-094619_STM-STM_Spectroscopy--113_6.Z_flat

description: Sample=Silicene/100sec depo;CreationComment=
DOI: 10.6084/m9.figshare.4640893.v1
title: default_2014Apr15-100445_STM-STM_Spectroscopy--24_1.Z_flat

description: Sample=Si/Silicene_20140415;CreationComment=
DOI: 10.6084/m9.figshare.4640896.v1
title: default_2014Apr12-123238_STM-STM_Spectroscopy--56_1.Z_flat

description: Sample=Si/Silicene_20140412;CreationComment=
DOI: 10.6084/m9.figshare.4640899.v1
title: default_2014Apr12-123238_STM-STM_Spectroscopy--60_2.Z_flat

description: Sample=Si/Silicene_20140412;CreationComment=
DOI: 10.6084/m9.figshare.4640728
title: Dataset 5: SNP and distance differences between P. falciparum parasite pairs in the Rachuonyo South population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs.
DOI: 10.6084/m9.figshare.4640734
title: Datasets

description: Tissue expression datasets available in the TISSUES 2.0. database including non-confident gene-tissue associations.
DOI: 10.6084/m9.figshare.4640725
title: Dataset 4: SNP, distance and time differences between P. falciparum parasite pairs in the Kilifi population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs; time_diff represents the temporal distance, in days, between parasite pairs.
DOI: 10.6084/m9.figshare.4640728.v1
title: Dataset 5: SNP and distance differences between P. falciparum parasite pairs in the Rachuonyo South population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs.
DOI: 10.6084/m9.figshare.4640734.v2
title: Datasets

description: Tissue expression datasets available in the TISSUES 2.0. database including non-confident gene-tissue associations.
DOI: 10.6084/m9.figshare.4640719
title: Dataset 2: Sequenom assay design information.

description: Data includes the locus and IPLEX specific primers used in the sequenom reaction to amplify and type the SNPs of interest. Gene product, gene product name; Gene_symbol, gene name; Chromosome, chromosome location of gene; SNP position on chromosome, SNP site; reference allele, 3D7 reference allele; alternative allele, alternative allele; sequence, 3D7 reference sequence spanning the SNP site; first_pcrp, first PCR primer sequence; second_pcrp, second PCR primer sequence; extension_primer, IPLEX extension primer sequence; extension1_call, IPLEX primer with extended SNP; extension1_mass, Mass of the extended IPLEX primer; extension1_sequence, sequence of extended IPLEX primer; extension2_call= IPLEX primer with alternative extended allele; extension2_mass, Mass of the extended IPLEX primer with alternative allele; extension2_sequence, sequence of extended IPLEX primer with alternative allele. <br>
DOI: 10.6084/m9.figshare.4640722
title: Dataset 3: SNP, distance and time differences between P. falciparum parasite pairs in The Gambia population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs; time_diff represents the temporal distance, in days, between parasite pairs.
DOI: 10.6084/m9.figshare.4640725.v1
title: Dataset 4: SNP, distance and time differences between P. falciparum parasite pairs in the Kilifi population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs; time_diff represents the temporal distance, in days, between parasite pairs.
DOI: 10.6084/m9.figshare.4640719.v1
title: Dataset 2: Sequenom assay design information.

description: Data includes the locus and IPLEX specific primers used in the sequenom reaction to amplify and type the SNPs of interest. Gene product, gene product name; Gene_symbol, gene name; Chromosome, chromosome location of gene; SNP position on chromosome, SNP site; reference allele, 3D7 reference allele; alternative allele, alternative allele; sequence, 3D7 reference sequence spanning the SNP site; first_pcrp, first PCR primer sequence; second_pcrp, second PCR primer sequence; extension_primer, IPLEX extension primer sequence; extension1_call, IPLEX primer with extended SNP; extension1_mass, Mass of the extended IPLEX primer; extension1_sequence, sequence of extended IPLEX primer; extension2_call= IPLEX primer with alternative extended allele; extension2_mass, Mass of the extended IPLEX primer with alternative allele; extension2_sequence, sequence of extended IPLEX primer with alternative allele. <br>
DOI: 10.6084/m9.figshare.4640734.v1
title: datasets

description: Tissue expression datasets used in the publication TISSUES: An integrative web resource on mammalian tissue expression
DOI: 10.6084/m9.figshare.4640707
title: Dataset 1: Information on the 276 SNPs genotyped in 177 genes in P. falciparum parasite populations from The Gambia, Kilifi and Rachuonyo South.

description: The columns contain the following information: study_location, site of sample collection; sample_id, unique sample identifier; gene_symbol, gene name (if available); chr_valid, chromosome; coord_valid= base position of SNP on chromosome; sequence_code, SNP name; assay_code, name of assay; rsnumber, unique SNP identifier in dbSNP; reference_allele, 3D7 reference allele, alternative_allele, alternative allele; single letter code, IUPAC code for SNPs; result, genotype call after processing; allele1, IUPAC code for allele 1; allele2, IUPAC code for allele 2; allele_ratio1, proportion of allele 1; allele_ratio2, proportion of allele 2; pass_fail, coding of SNP based on availability of valid genotype (pass) or lack of a valid genotype (fail). Geospatial data for homestead location is considered sensitive data and therefore cannot be made open access. However, it can be accessed through a request to our data governance committee, using the email address mmunene@uat/newsite.
DOI: 10.6084/m9.figshare.4640710
title: Mapping of tissue names to Brenda Tissue Ontology terms

description: These files contain the mapping from tissue names to Brenda Tissue Ontology terms for the tissue expression datasets used in the publication TISSUES 2.0: An integrative web resource on mammalian tissue expression, Oana Palasca, Alberto Santos, Christian Stolte, Jan Gorodkin, Lars Juhl Jensen
DOI: 10.6084/m9.figshare.4640722.v1
title: Dataset 3: SNP, distance and time differences between P. falciparum parasite pairs in The Gambia population.

description: Differences were computed for all parasite pairwise comparisons. Sample_id and sample_id_x are unique sample identifiers; snps represent the number of snp differences between parasite pairs; km_distance represents geographical distance, in kilometres, between parasite pairs; time_diff represents the temporal distance, in days, between parasite pairs.
DOI: 10.6084/m9.figshare.4640707.v1
title: Dataset 1: Information on the 276 SNPs genotyped in 177 genes in P. falciparum parasite populations from The Gambia, Kilifi and Rachuonyo South.

description: The columns contain the following information: study_location, site of sample collection; sample_id, unique sample identifier; gene_symbol, gene name (if available); chr_valid, chromosome; coord_valid= base position of SNP on chromosome; sequence_code, SNP name; assay_code, name of assay; rsnumber, unique SNP identifier in dbSNP; reference_allele, 3D7 reference allele, alternative_allele, alternative allele; single letter code, IUPAC code for SNPs; result, genotype call after processing; allele1, IUPAC code for allele 1; allele2, IUPAC code for allele 2; allele_ratio1, proportion of allele 1; allele_ratio2, proportion of allele 2; pass_fail, coding of SNP based on availability of valid genotype (pass) or lack of a valid genotype (fail). Geospatial data for homestead location is considered sensitive data and therefore cannot be made open access. However, it can be accessed through a request to our data governance committee, using the email address mmunene@uat/newsite.
DOI: 10.6084/m9.figshare.4640683
title: Supplementary Material for: Systematic Review on N-3 and N-6 Polyunsaturated Fatty Acid Intake in European Countries in Light of the Current Recommendations - Focus on Specific Population Groups

description: <b><i>Background:</i></b> Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. <b><i>Summary:</i></b> The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. <b><i>Results:</i></b> The evaluations were done against recommendations of the European Food Safety Authority. <b><i>Key Messages:</i></b> Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly &gt;65 years. Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.
DOI: 10.6084/m9.figshare.4640686
title: A High-Speed Brain-Computer Interface (BCI) Using Dry EEG Electrodes

description: This dataset contains the EEG data from 12 subjects using a c-VEP Brain-Computer Interface using dry EEG electrodes.<br><br>Spüler M (2017) A high-speed brain-computer interface (BCI) using dry EEG electrodes. <i>PLoS ONE</i> 12(2): e0172400. doi:10.1371/journal.pone.0172400
DOI: 10.6084/m9.figshare.4640677
title: Supplementary Material for: Potentially Important MicroRNAs in Form-Deprivation Myopia Revealed by Bioinformatics Analysis of MicroRNA Profiling

description: <b><i>Objective:</i></b> This study aimed to identify differentially expressed microRNAs (miRNAs) and to explore their potential roles in form-deprivation myopia.<b><i> Methods:</i></b> The microarray data set GSE58124 of miRNAs was downloaded from the Gene Expression Omnibus, and form-deprivation myopia was induced in C57BL/6J mice over the right eye; the contralateral, left eyes were used as controls. Differential expression analysis was done using the LIMMA package. miRDB was used to predict targets for miRNAs. The target genes were put into DAVID to identify significant pathways and biological processes of miRNAs. A functionally collaborative network was constructed using Cytoscape. <b><i>Result:</i></b> In total, 24 and 20 upregulated miRNAs, respectively, were screened out in retina and whole-eye tissue. However, there was no dramatic expression change of miRNAs in sclera tissue. By taking intersections, 8 common upregulated miRNAs were obtained in both the retina and the whole-eye samples. According to miRDB, 1,805 target genes were screened out for the 8 differentially expressed miRNAs, including <i>MAPK10</i> (mitogen-activated protein kinase 10). The functionally collaborative network revealed that “regulation of transcription” was significantly enriched. The pathways “Axon guidance” and “TGF-β signaling pathway” were also enriched. Importantly, miR-466h-5p and miR-466j were significantly enriched in some synaptic transmission-related biological processes. <b><i>Conclusion:</i></b> This study identified an upregulation of 8 miRNAs, which may function by disturbing their enriched pathways or biological processes in the progression of myopia.
DOI: 10.6084/m9.figshare.4640677.v1
title: Supplementary Material for: Potentially Important MicroRNAs in Form-Deprivation Myopia Revealed by Bioinformatics Analysis of MicroRNA Profiling

description: <b><i>Objective:</i></b> This study aimed to identify differentially expressed microRNAs (miRNAs) and to explore their potential roles in form-deprivation myopia.<b><i> Methods:</i></b> The microarray data set GSE58124 of miRNAs was downloaded from the Gene Expression Omnibus, and form-deprivation myopia was induced in C57BL/6J mice over the right eye; the contralateral, left eyes were used as controls. Differential expression analysis was done using the LIMMA package. miRDB was used to predict targets for miRNAs. The target genes were put into DAVID to identify significant pathways and biological processes of miRNAs. A functionally collaborative network was constructed using Cytoscape. <b><i>Result:</i></b> In total, 24 and 20 upregulated miRNAs, respectively, were screened out in retina and whole-eye tissue. However, there was no dramatic expression change of miRNAs in sclera tissue. By taking intersections, 8 common upregulated miRNAs were obtained in both the retina and the whole-eye samples. According to miRDB, 1,805 target genes were screened out for the 8 differentially expressed miRNAs, including <i>MAPK10</i> (mitogen-activated protein kinase 10). The functionally collaborative network revealed that “regulation of transcription” was significantly enriched. The pathways “Axon guidance” and “TGF-β signaling pathway” were also enriched. Importantly, miR-466h-5p and miR-466j were significantly enriched in some synaptic transmission-related biological processes. <b><i>Conclusion:</i></b> This study identified an upregulation of 8 miRNAs, which may function by disturbing their enriched pathways or biological processes in the progression of myopia.
DOI: 10.6084/m9.figshare.12909395
title: Dataset MTX - Eryfolate.csv

description: This is a dataset of 43 pediatric acute lymphoblastic leukemia patients in which we analysed consecutive methotrexate and folate levels. <b><br></b><b>Background </b>After High-Dose Methotrexate (HD-MTX), folinic acid rescue therapy (Leucovorin) is administered to reduce side effects in pediatric acute lymphoblastic leukemia (ALL) patients. Leucovorin and MTX are structural analogues, possibly competing for cellular transport and intracellular metabolism. We hypothesize that Leucovorin accumulates during consecutive courses, which might result in a lower MTX uptake. <b>Methods </b>We prospectively measured red blood cell (RBC) folate and MTX levels during four HD-MTX and Leucovorin courses in 43 patients treated according the DCOG ALL-11 protocol with 2-weekly HD-MTX (5 g/m<sup>2</sup>/dose) and Leucovorin (15 mg/m<sup>2</sup>/dose) using LC-MS/MS. We estimated a linear mixed model to assess the relationship between these variables over time. <b>Results </b>Both RBC MTX-PG and folate levels increased significantly during protocol M. MTX-PG<sub>2-5</sub> levels increased most substantially after the first two HD-MTX courses (until median 113.0 nmol/L, IQR 76.8-165.2) after which levels plateaued during the 3<sup>d</sup> and 4<sup>th</sup> course (until median 141.3 nmol/L, IQR 100.2-190.2). In parallel, folate levels increased most substantially after the first two HD-MTX courses (until median 401.6 nmol/L, IQR 163.3-594.2) after which levels plateaued during the 3<sup>d</sup> and 4<sup>th</sup> course (until median 411.5 nmol/L, IQR 240.3-665.6). The ratio folate/MTX-PG decreased significantly over time, which was mostly due to the relatively higher increase (delta) of MTX-PG. <b>Conclusion </b>These results suggest that the increase in RBC folate levels does not seem to have a large effect on RBC MTX levels. Future studies, assessing competition of Leucovorin and MTX on other cellular mechanisms which might negatively affect treatment efficacy, are necessary.
DOI: 10.6084/m9.figshare.12909425
title: SLA_5June2018

description: Gridded SLA data from cds.climate.copernicus.eu for 5 June 2018.
DOI: 10.6084/m9.figshare.12909425.v1
title: SLA_5June2018

description: Gridded SLA data from cds.climate.copernicus.eu for 5 June 2018.
DOI: 10.6084/m9.figshare.4640098
title: RMG-Cat version 1.0 examples for automated reaction mechanism generation of heterogeneous catalysis

description: Files accompanying a manuscript describing the open-source software RMG-Cat, the version of Reaction Mechanism Generator modified for Heterogeneous Catalysis. We demonstrate its use in building a micro-kinetic model for the dry reforming of methane on nickel. Included are the input files, output files, and a Jupyter Python notebook containing all the post-processing needed to generate the figures, and the figures.<br>The manuscript has now been published. Please cite that work as well as this data set:"Automatic Generation of Microkinetic Mechanisms for Heterogeneous Catalysis"C. Franklin Goldsmith and Richard H. WestThe Journal of Physical Chemistry C 2017 121 (18), 9970-9981DOI: 10.1021/acs.jpcc.7b02133<br>
DOI: 10.6084/m9.figshare.4640092
title: Data_submitted.xlsx

description: The weight and length data of Yellow Croaker along the north coast of China through 2008, and 2011-2015.
DOI: 10.6084/m9.figshare.4640083
title: Statistical analysis DTUs v/s weight

description: Statistical analysis DTUs v/s weight
DOI: 10.6084/m9.figshare.4640086
title: Statistical analysis DTUs v/s amount of parasites

description: Statistical analysis DTUs v/s amount of parasites
DOI: 10.6084/m9.figshare.4640080
title: Statistical analysis DTUs v/s sex

description: Statistical analysis DTUs v/s sex
DOI: 10.6084/m9.figshare.4640086.v2
title: Statistical analysis DTUs v/s amount of parasites

description: Statistical analysis DTUs v/s amount of parasites
DOI: 10.6084/m9.figshare.4640080.v2
title: Statistical analysis DTUs v/s sex

description: Statistical analysis DTUs v/s sex
DOI: 10.6084/m9.figshare.4640086.v1
title: Linajes v/s Cantidad de parásitos

description: Análisis estadístico de linajes v/s cantidad de parásitos
DOI: 10.6084/m9.figshare.4639789
title: MAPPIN: Method for Annotating, Predicting Pathogenicity, and mode of Inheritance for Nonsynonymous variants

description: This directory includes software, readme files for installation and usage, associated data files for running MAPPIN, and prediction scores for all nsSNVs. The annotate.mappin.tar.gz tarball includes all the scripts and associated data files needed to annotate missense variants. The predict.mappin.tar.gz includes all the scripts and data files need to run predictions on the annotated missense variants file. The mappin_training_data_cross-validation tarball has the training datasets and other files, which can be run for training and cross-validation using the associated R script. The hg19.mappin.prediction.scores.tar.gz file has MAPPIN prediction scores (dominant, recessive, benign) for all possible nsSNVs in the genome. The hg38.mappin.prediction.scores.tar.gz file has MAPPIN prediction scores lifted over to hg38.<br><b>Release update 10/24/17: minor bug fixed; users only need to re-download predict_mappin.tar.gz.</b><br><br>Note: Although the license states CC BY, MAPPIN software can be used and modified freely for <b>non-commercial</b> purposes only. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.6084/m9.figshare.4640083.v2
title: Statistical analysis DTUs v/s weight

description: Statistical analysis DTUs v/s weight
DOI: 10.6084/m9.figshare.4640080.v1
title: Análisis estadístico linajes v/s sexo

description: Análisis estadístico linajes v/s sexo
DOI: 10.6084/m9.figshare.4639678
title: Prime95B / EMCCD comparison

description: Comparison of Photometrics Prime 95B Back-thinned EMCCD to Andor iXon 888 EMCCD. Both cameras were mounted on a Borealis CSU-W1 spinning-disk confocal.
DOI: 10.6084/m9.figshare.4640083.v1
title: New draft item

description: Análisis estadístico de peso roedores v/s linajes
DOI: 10.6084/m9.figshare.4635877
title: dmLT_Fig. 2. Recovery of intact dmLT after incubation in saliva

description: Double mutant heat labile (dmLT) adjuvant is being proposed for oral vaccine formulation. dmLT stability in saliva was evaluated by dmLT ELISA. dmLT stability was tested using two separate preparation methods to prevent any interference with saliva and the ELISA method. In the first method dmLT was mixed with saliva in tubes, incubated at 37˚C, and tested at 5, 10, 30 minutes by ELISA. In the second method saliva was added to dmLT previously bound to ELISA plates. Plates were tested at the same specified time points.
DOI: 10.6084/m9.figshare.4635898
title: tablasarticulosignoypensamiento (1).pdf

description: En estas tablas se recogen los datos sociodemográficos de la muestra participante.