cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12005019
title: Additional file 6 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 6: Table S3. Summary statistics for Additional file 5: Figure S3.
DOI: 10.6084/m9.figshare.12005019.v1
title: Additional file 6 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 6: Table S3. Summary statistics for Additional file 5: Figure S3.
DOI: 10.6084/m9.figshare.12005013
title: Additional file 4 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 4: Table S2. Summary statistics for Additional file 3: Figure S2.
DOI: 10.6084/m9.figshare.12005013.v1
title: Additional file 4 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 4: Table S2. Summary statistics for Additional file 3: Figure S2.
DOI: 10.6084/m9.figshare.12005004
title: Additional file 28 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 28: Dataset S5. All codes for the GUI RoiEdit3D and analysis pipeline to make figures.
DOI: 10.6084/m9.figshare.12005004.v1
title: Additional file 28 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 28: Dataset S5. All codes for the GUI RoiEdit3D and analysis pipeline to make figures.
DOI: 10.6084/m9.figshare.12004998
title: Additional file 26 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 26: Dataset S4. Sequences of the promoters in Table 1.
DOI: 10.6084/m9.figshare.12004998.v1
title: Additional file 26 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 26: Dataset S4. Sequences of the promoters in Table 1.
DOI: 10.6084/m9.figshare.12004989
title: Additional file 23 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 23: Dataset S3. A tutorial for semi-automatic annotation using our software.
DOI: 10.6084/m9.figshare.12004989.v1
title: Additional file 23 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 23: Dataset S3. A tutorial for semi-automatic annotation using our software.
DOI: 10.6084/m9.figshare.12004977
title: Additional file 1 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 1: Table S1. Summary of neuron ID dataset including expression patterns of the promoters.
DOI: 10.6084/m9.figshare.12004977.v1
title: Additional file 1 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 1: Table S1. Summary of neuron ID dataset including expression patterns of the promoters.
DOI: 10.6084/m9.figshare.12004968
title: Additional file 17 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 17: Table S6. Summary statistics for Additional file 16: Figure S10.
DOI: 10.6084/m9.figshare.12004968.v1
title: Additional file 17 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 17: Table S6. Summary statistics for Additional file 16: Figure S10.
DOI: 10.6084/m9.figshare.12004941
title: Additional file 15 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 15: Dataset S2. Positions of nuclei and expression patterns of landmark fluorescence in the whole-brain imaging strains as the test data for automatic annotation and corresponding static 3D images.
DOI: 10.6084/m9.figshare.12004941.v1
title: Additional file 15 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 15: Dataset S2. Positions of nuclei and expression patterns of landmark fluorescence in the whole-brain imaging strains as the test data for automatic annotation and corresponding static 3D images.
DOI: 10.6084/m9.figshare.12004929
title: Additional file 13 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 13: Table S5. Evaluation result of promoter combinations.
DOI: 10.6084/m9.figshare.12004923
title: Additional file 11 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 11: Table S4. Summary statistics for Additional file 10: Figure S7.
DOI: 10.6084/m9.figshare.12004923.v1
title: Additional file 11 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 11: Table S4. Summary statistics for Additional file 10: Figure S7.
DOI: 10.6084/m9.figshare.12004929.v1
title: Additional file 13 of Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans

description: Additional file 13: Table S5. Evaluation result of promoter combinations.
DOI: 10.6084/m9.figshare.12004791
title: Additional file 1 of 600-ns pulsed electric fields affect inactivation and antibiotic susceptibilities of Escherichia coli and Lactobacillus acidophilus

description: Additional file 1: Table S1. Zones of growth inhibition for E. coli.
DOI: 10.6084/m9.figshare.12004782
title: Additional file 1 of SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

description: Additional file 1. Names of the genotypes used for the study.
DOI: 10.6084/m9.figshare.12004791.v1
title: Additional file 1 of 600-ns pulsed electric fields affect inactivation and antibiotic susceptibilities of Escherichia coli and Lactobacillus acidophilus

description: Additional file 1: Table S1. Zones of growth inhibition for E. coli.
DOI: 10.6084/m9.figshare.12004782.v1
title: Additional file 1 of SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

description: Additional file 1. Names of the genotypes used for the study.
DOI: 10.6084/m9.figshare.12004764
title: Additional file 1 of COVER: conformational oversampling as data augmentation for molecules

description: Additional file 1. Statistical analysis.
DOI: 10.6084/m9.figshare.12004764.v1
title: Additional file 1 of COVER: conformational oversampling as data augmentation for molecules

description: Additional file 1. Statistical analysis.
DOI: 10.6084/m9.figshare.12004746
title: Additional file 9 of A metabolic switch regulates the transition between growth and diapause in C. elegans

description: Additional file 9: Table S1. Molar abundances of all 43 proteins in biological replicates for all tested conditions.
DOI: 10.6084/m9.figshare.12004746.v1
title: Additional file 9 of A metabolic switch regulates the transition between growth and diapause in C. elegans

description: Additional file 9: Table S1. Molar abundances of all 43 proteins in biological replicates for all tested conditions.
DOI: 10.6084/m9.figshare.12004665
title: Additional file 1 of Alterations in the methylome of the stromal tumour microenvironment signal the presence and severity of prostate cancer

description: Additional File 1. Supplementary Tables S1, S2, S3, S4, S5, S6.
DOI: 10.6084/m9.figshare.12004665.v1
title: Additional file 1 of Alterations in the methylome of the stromal tumour microenvironment signal the presence and severity of prostate cancer

description: Additional File 1. Supplementary Tables S1, S2, S3, S4, S5, S6.
DOI: 10.6084/m9.figshare.12004599
title: Additional file 1 of Sexual-biased gene expression of olfactory-related genes in the antennae of Conogethes pinicolalis (Lepidoptera: Crambidae)

description: Additional file 1: Figure S1. A) functional annotation of assembled sequences based on gene ontology (GO) categorization; b) EuKaryotic of orthologous groups (KOG) classification; c) is KEGG pathway annotation of the transcriptome. Figure S2. Quantitative RT-qPCR expression levels of olfactory genes from female and male moth of C. pinicolalis. The expression levels were statistically significant (t-test, *P
DOI: 10.6084/m9.figshare.12004599.v1
title: Additional file 1 of Sexual-biased gene expression of olfactory-related genes in the antennae of Conogethes pinicolalis (Lepidoptera: Crambidae)

description: Additional file 1: Figure S1. A) functional annotation of assembled sequences based on gene ontology (GO) categorization; b) EuKaryotic of orthologous groups (KOG) classification; c) is KEGG pathway annotation of the transcriptome. Figure S2. Quantitative RT-qPCR expression levels of olfactory genes from female and male moth of C. pinicolalis. The expression levels were statistically significant (t-test, *P
DOI: 10.6084/m9.figshare.12004563
title: Additional file 1 of Clinical and molecular characterization of virus-positive and virus-negative Merkel cell carcinoma

description: Additional file 1: Table S1. SNV data for all patients. Table S2. CNV data for all patients. Table S3. CNV cluster definitions. Table S4. Synoptic review of dermatopathology. Table S5. Association between relapse and genomic sequencing (N = 52).
DOI: 10.6084/m9.figshare.12004563.v1
title: Additional file 1 of Clinical and molecular characterization of virus-positive and virus-negative Merkel cell carcinoma

description: Additional file 1: Table S1. SNV data for all patients. Table S2. CNV data for all patients. Table S3. CNV cluster definitions. Table S4. Synoptic review of dermatopathology. Table S5. Association between relapse and genomic sequencing (N = 52).
DOI: 10.6084/m9.figshare.12004551
title: Additional file 9 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S8, list of linear B cell-specific CpGs.
DOI: 10.6084/m9.figshare.12004551.v1
title: Additional file 9 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S8, list of linear B cell-specific CpGs.
DOI: 10.6084/m9.figshare.12004542
title: Additional file 6 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S5, list of epigenetic regulators.
DOI: 10.6084/m9.figshare.12004542.v1
title: Additional file 6 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S5, list of epigenetic regulators.
DOI: 10.6084/m9.figshare.12004545
title: Additional file 7 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S6, list of epigenetic regulators being targeted by CLL-specific microRNAs.
DOI: 10.6084/m9.figshare.12004548
title: Additional file 8 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S7, list of ENCODE TF ChIP-seq datasets.
DOI: 10.6084/m9.figshare.12004539
title: Additional file 5 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S4, list of candidate target genes of CLL-specific microRNAs.
DOI: 10.6084/m9.figshare.12004545.v1
title: Additional file 7 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S6, list of epigenetic regulators being targeted by CLL-specific microRNAs.
DOI: 10.6084/m9.figshare.12004548.v1
title: Additional file 8 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S7, list of ENCODE TF ChIP-seq datasets.
DOI: 10.6084/m9.figshare.12004533
title: Additional file 4 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S3, list of CLL-specific miRNAs.
DOI: 10.6084/m9.figshare.12004533.v1
title: Additional file 4 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S3, list of CLL-specific miRNAs.
DOI: 10.6084/m9.figshare.12004539.v1
title: Additional file 5 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S4, list of candidate target genes of CLL-specific microRNAs.
DOI: 10.6084/m9.figshare.12004524
title: Additional file 2 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S1, list of CLL-specific protein-coding genes.
DOI: 10.6084/m9.figshare.12004527
title: Additional file 3 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S2, list of super-enhancer-associated protein coding genes.
DOI: 10.6084/m9.figshare.12004524.v1
title: Additional file 2 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S1, list of CLL-specific protein-coding genes.
DOI: 10.6084/m9.figshare.12004527.v1
title: Additional file 3 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S2, list of super-enhancer-associated protein coding genes.
DOI: 10.6084/m9.figshare.12004506
title: Additional file 7 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 7. Information on the heterogeneity of H-score for c-MET between the TMA cores.
DOI: 10.6084/m9.figshare.12004503
title: Additional file 10 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S9, list of CLL-specific CpGs (class A, class B, class C, class D).
DOI: 10.6084/m9.figshare.12004500
title: Additional file 6 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 6. Information on the heterogeneity of H-score for HGF between the TMA cores.
DOI: 10.6084/m9.figshare.12004503.v1
title: Additional file 10 of Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

description: Table S9, list of CLL-specific CpGs (class A, class B, class C, class D).
DOI: 10.6084/m9.figshare.12004506.v1
title: Additional file 7 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 7. Information on the heterogeneity of H-score for c-MET between the TMA cores.
DOI: 10.6084/m9.figshare.12004494
title: Additional file 5 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 5. Information on the heterogeneity of H-score for CXCL12 between the TMA cores.
DOI: 10.6084/m9.figshare.12004500.v1
title: Additional file 6 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 6. Information on the heterogeneity of H-score for HGF between the TMA cores.
DOI: 10.6084/m9.figshare.12004491
title: Additional file 4 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 4. Information on the heterogeneity of percentage of positive cells for CXCR4 between the TMA cores.
DOI: 10.6084/m9.figshare.12004491.v1
title: Additional file 4 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 4. Information on the heterogeneity of percentage of positive cells for CXCR4 between the TMA cores.
DOI: 10.6084/m9.figshare.12004494.v1
title: Additional file 5 of High hepatocyte growth factor expression in primary tumor predicts better overall survival in male breast cancer

description: Additional file 5. Information on the heterogeneity of H-score for CXCL12 between the TMA cores.
DOI: 10.6084/m9.figshare.12004482
title: Additional file 3 of Health systems influence on the pathways of care for lung cancer in low- and middle-income countries: a scoping review

description: Additional file 3. Table 1: Quality assessment of included studies.
DOI: 10.6084/m9.figshare.12004482.v1
title: Additional file 3 of Health systems influence on the pathways of care for lung cancer in low- and middle-income countries: a scoping review

description: Additional file 3. Table 1: Quality assessment of included studies.
DOI: 10.6084/m9.figshare.12004179
title: mSphere00936-19 Table S1

description: Supplementary Table S1. List of all the primers used in the study.
DOI: 10.6084/m9.figshare.12004179.v2
title: mSphere00936-19 Table S1

description: Supplementary Table S1. List of all the primers used in the study.
DOI: 10.6084/m9.figshare.12004092
title: mSphere00936-19 File S1.pdf

description: List of differentially expressed genes in the knock-down and over-expression strains compared to that in wild type B157.<br>
DOI: 10.6084/m9.figshare.12004179.v1
title: Table S1

description: Saha et al., 2020
DOI: 10.6084/m9.figshare.12004092.v1
title: File S1.pdf

description: Saha et al., 2020
DOI: 10.6084/m9.figshare.12003966
title: Supplementary data file S1: List of zoonotic viruses and their terrestrial mammalian hosts as documented in the peer reviewed literature. The reference column notes citations used to collect data on hosts for zoonotic viruses through December 2013 (detailed in S1 references data file).; Supplementary data file S1 references file - includes expanded methods, supplementary tables, captions for data files

description: List of zoonotic viruses and associated terrestrial mammalian hosts documented in peer-reviewed literature published through December 2013.; List of references cited in data file S1 zoonotic viruses and associated terrestrial mammalian hosts documented in peer-reviewed literature published through December 2013.
DOI: 10.6084/m9.figshare.12003957
title: db_osteoarthritis_v3.xlsb

description: Since its introduction by the World Health Organization (WHO), the concept of burden of disease has been evolving. The current method uses life expectancy projected to 2050 and does not consider age-weighting and time-discounting. Our aim is to estimate the burden of disease due to hip, knee, and unspecified osteoarthritis using this new method in the Peruvian Social Health Insurance System (EsSalud) during 2016.
DOI: 10.6084/m9.figshare.12003960
title: Supplementary data file S2: List of mammalian species, their taxonomic classification, their domestication status, and The International Union for Conservation of Nature (IUCN) Red List categories and criteria used to evaluate their relationship with the number of zoonotic viruses (sum of viruses) recognized in a species through December 2013. from Global shifts in mammalian population trends reveal key predictors of virus spillover risk

description: Data file S2. List of mammalian species, their taxonomic classification, their domestication status, and The International Union for Conservation of Nature (IUCN) Red List categories and criteria (3) used to evaluate their relationship with the number of unique zoonotic viruses recognized in a species as published through December 2013.
DOI: 10.6084/m9.figshare.12003966.v1
title: Supplementary data file S1: List of zoonotic viruses and their terrestrial mammalian hosts as documented in the peer reviewed literature. The reference column notes citations used to collect data on hosts for zoonotic viruses through December 2013 (detailed in S1 references data file).; Supplementary data file S1 references file - includes expanded methods, supplementary tables, captions for data files

description: List of zoonotic viruses and associated terrestrial mammalian hosts documented in peer-reviewed literature published through December 2013.; List of references cited in data file S1 zoonotic viruses and associated terrestrial mammalian hosts documented in peer-reviewed literature published through December 2013.
DOI: 10.6084/m9.figshare.12003960.v1
title: Supplementary data file S2: List of mammalian species, their taxonomic classification, their domestication status, and The International Union for Conservation of Nature (IUCN) Red List categories and criteria used to evaluate their relationship with the number of zoonotic viruses (sum of viruses) recognized in a species through December 2013. from Global shifts in mammalian population trends reveal key predictors of virus spillover risk

description: Data file S2. List of mammalian species, their taxonomic classification, their domestication status, and The International Union for Conservation of Nature (IUCN) Red List categories and criteria (3) used to evaluate their relationship with the number of unique zoonotic viruses recognized in a species as published through December 2013.
DOI: 10.6084/m9.figshare.12003894
title: Caprellid count data at week 12

description: Caprellid count data collected by Em Lim. <br>
DOI: 10.6084/m9.figshare.12003888
title: 3D printed data.xlsx

description: The file includes the raw fluorescence data from a handheld PCR device. This reading is resulted from Candida auris DNA sample.
DOI: 10.6084/m9.figshare.12003894.v1
title: Caprellid count data at week 12

description: Caprellid count data collected by Em Lim. <br>
DOI: 10.6084/m9.figshare.12003873
title: Mescosom inventory data at week 12

description: Wide format raw and derived data from mesocosm experiments for paper: Brown et al. 2020. Energetic context determines species and community responses to ocean acidification. <i>Accepted </i>in Ecology. <br><br>Marine fouling species abundances and counts, pH values, diversity, community level metrics for the final week of the experiment (week 12). These are from the insides of the mesocosms, not on the tiles. <br><br>Generally:<br>"num_serpulid" = number of individuals found in the mesocosm<br>"serpulid" = % cover of serpulids found on in the mesocosm<br>
DOI: 10.6084/m9.figshare.12003882
title: Tile-level data at week 12

description: Wide format raw and derived data from mesocosm experiments for paper: Brown et al. 2020. Energetic context determines species and community responses to ocean acidification. <i>Accepted </i>in Ecology. <br><br>Marine fouling species abundances and counts, pH values, diversity, community level metrics for the final week of the experiment (week 12). These are from the tiles, not the insides of the mesocosms. <br><br>Generally:<br>"num_serpulid" = number of individuals found on the tiles<br>"serpulid" = % cover of serpulids found on the tiles<br>