cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive160921.20220920.7
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160921.20221219.7.1
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160922.20220920.7
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160922.20221219.7.1
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160923.20220920.7
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160923.20221219.7.1
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160924.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160924.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160925.20220920.7
title: <i>Lactobacillus</i> <i>gallinarum</i> Fujisawa <i>et al.</i> 1992

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160925.20221219.7.1
title: <i>Lactobacillus</i> <i>gallinarum</i> Fujisawa <i>et al.</i> 1992

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160926.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160926.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160927.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160927.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160928.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160928.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160929.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160929.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160930.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160930.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160931.20220920.7
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160931.20221219.7.1
title: <i>Weissella</i> <i>paramesenteroides</i> (Garvie 1967) Collins <i>et al.</i> 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160932.20220920.7
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160932.20221219.7.1
title: <i>Leuconostoc</i> <i>pseudomesenteroides</i> Farrow <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160933.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160933.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160934.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160934.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160935.20220920.7
title: <i>Kitasatospora</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160935.20221219.7.1
title: <i>Kitasatospora</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160936.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160936.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160937.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160937.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160938.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160938.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160939.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160939.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160940.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160940.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160941.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160941.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160942.20220920.7
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160942.20221219.7.1
title: <i>Streptomyces</i> sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive160943.20220920.7
title: <i>Lactobacillus</i> <i>kitasatonis</i> Mukai <i>et al.</i> 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5519/qd.v2snuj46
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.18132604.v1
title: Additional file 3 of Pathological α-synuclein recruits LRRK2 expressing pro-inflammatory monocytes to the brain

description: Additional file 3.
DOI: 10.6084/m9.figshare.16557336
title: Additional file 11 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 11: Table S11. Comparison of results of main analyses (outcome of both clinically diagnosed AD and AD-by-proxy) with analyses of clinically diagnosed AD outcome and AD-by-proxy outcome.
DOI: 10.6084/m9.figshare.16557333.v1
title: Additional file 10 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 10: Table S10. TWAS identified nine genes at Bonferroni correction level for AD risk using spleen tissue gene expression prediction model.
DOI: 10.6084/m9.figshare.16557360.v1
title: Additional file 5 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 5: Table S5. FOCUS fine mapping analysis results of AD TWAS identified genes across ten train tissues.
DOI: 10.6084/m9.figshare.16557369.v1
title: Additional file 6 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 6: Table S6. Full list of risk SNPs and their distances with the associated genes.
DOI: 10.6084/m9.figshare.16557375
title: Additional file 8 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 8: Table S8. Networks of identified genes.
DOI: 10.6084/m9.figshare.18132504
title: Additional file 14 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 14: Table S12. LchiWRKY’s TPM value of heat stress.
DOI: 10.6084/m9.figshare.21275891
title: Additional file 2 of Proteomic alterations associated with residual disease in neoadjuvant chemotherapy treated ovarian cancer tissues

description: Additional file 2: Table S1. Proteins significantly altered between post versus pre-NACT tissues (LIMMA p-value&lt;0.01). Table S2. Proteins significantly altered between R1 versus R0 patients in pre-NACT tissues (LIMMA p-value&lt;0.05). Table S3. Significantly (LIMMA p&lt;0.05) co-altered proteins between pre-NACT tumors from patients with any level of residual disease vs R0 patients from an independent ovarian cancer cohort (CPTAC 2016) that exhibit highly correlated abundance trends with the present ovarian cancer cohort. Table S4. Diseases and biofunctions (Ingenuity Pathway Analysis) significantly enriched by proteins altered between R1 versus R0 patients in pre-NACT tissues (LIMMA p-value&lt;0.05). Table S5. Proteins altered in R1 versus R0 patients in pre-NACT treated tumors significantly correlating with altered progression free survival in CPTAC ovarian 2016.
DOI: 10.6084/m9.figshare.18132504.v1
title: Additional file 14 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 14: Table S12. LchiWRKY’s TPM value of heat stress.
DOI: 10.6084/m9.figshare.18132507.v1
title: Additional file 15 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 15: Table S13. LchiWRKY’s TPM value of drought stress.
DOI: 10.6084/m9.figshare.16557333
title: Additional file 10 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 10: Table S10. TWAS identified nine genes at Bonferroni correction level for AD risk using spleen tissue gene expression prediction model.
DOI: 10.6084/m9.figshare.16557348.v1
title: Additional file 2 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 2: Table S2. Full results of TWAS for AD risk across ten brain tissues.
DOI: 10.6084/m9.figshare.18132516.v1
title: Additional file 18 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 18: Table S16. Standardization data of qRT-PCR conditions for drought stress.
DOI: 10.6084/m9.figshare.18132537.v1
title: Additional file 24 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 24: Table S21. List of primers used in the qRT-PCR analysis for the selected LchiWRKYs.
DOI: 10.6084/m9.figshare.16557354
title: Additional file 3 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 3: Table S3. Individual tissue model derived associations for 35 genes newly identified in the present TWAS.
DOI: 10.6084/m9.figshare.16557281
title: Additional file 3 of Human gut-derived B. longum subsp. longum strains protect against aging in a d-galactose-induced aging mouse model

description: Additional file 2. Supplementary tables.
DOI: 10.6084/m9.figshare.18132549
title: Additional file 3 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 3: Table S3. 1308 WRKY protein sequences and Bayesian phylogenetic tree of the 17 species.
DOI: 10.6084/m9.figshare.18132546.v1
title: Additional file 2 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 2: Table S2. LchiWRKYs Bayesian Phylogenetic tree.
DOI: 10.6084/m9.figshare.17083811.v1
title: Additional file 2 of Genome-wide identification and expression profiling of invertase gene family for abiotic stresses tolerance in Poncirus trifoliata

description: Additional file 2: Table S2. Accession numbers of all invertase genes from 5 plant species used in this article.
DOI: 10.6084/m9.figshare.18132561
title: Additional file 7 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 7: Table S7. Motifs identified in the LchiWRKYs.
DOI: 10.6084/m9.figshare.18132549.v1
title: Additional file 3 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 3: Table S3. 1308 WRKY protein sequences and Bayesian phylogenetic tree of the 17 species.
DOI: 10.6084/m9.figshare.16557357.v1
title: Additional file 4 of A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

description: Additional file 4: Table S4. Eighteen expression-trait associations for genes identified in the present and previous TWAS.
DOI: 10.6084/m9.figshare.18132573.v1
title: Additional file 9 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 9: Table S8. Number and length of LchiWRKY exons and introns.
DOI: 10.6084/m9.figshare.18132498
title: Additional file 13 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 13: Table S11. LchiWRKY’s TPM value of cold stress.
DOI: 10.6084/m9.figshare.18132507
title: Additional file 15 of Genome-wide identification of the Liriodendron chinense WRKY gene family and its diverse roles in response to multiple abiotic stress

description: Additional file 15: Table S13. LchiWRKY’s TPM value of drought stress.
DOI: 10.6084/m9.figshare.14462550
title: Additional file 2 of DNA methylation biomarkers of myocardial infarction and cardiovascular disease

description: Additional file 2: Table S1. Discovery stage of the EWAS on acute myocardial infarction (REGICOR-1 sample). Model 1 was adjusted for estimated cell counts and two surrogate variables. Model 2 was further adjusted for smoking status. Model 3 was additionally adjusted for diabetes, hypercholesterolemia and hypertension. Coefficients, standard errors and p-values are given for each model before and after the correction of the inflation using the bacon R package. Suggestive significant associations (p-value&lt;10-5) are in bold. The total number of suggestive significant associations in each model is given. Table S2. Meta-analyses of the results from the discovery (REGICOR-1) and the validation stage (REGICOR-2). Model 1 was adjusted for estimated cell counts and two surrogate variables. Model 2 was further adjusted for smoking status. Model 3 was additionally adjusted for diabetes, hypercholesterolemia and hypertension. Coefficients, standard errors and p-values of REGICOR-1 are those corrected with the bacon R package. Significant associations (p-value&lt;6.17 × 10-8) are highlighted in bold. The total number of significant associations in each model is given. Table S3. Meta-analysis of the results from the follow-up association studies performed in the samples with incident cases of cardiovascular (CVD) and coronary heart disease (CHD). Model 1 was adjusted for age, estimated cell counts and two surrogate variables (plus ethnicity in WHI and sex in FOS). Model 2 was further adjusted for smoking status. Model 3 was additionally adjusted for diabetes, hypercholesterolaemia and hypertension. Significant associations (4.17 × 10-3) found in the fixed-effects meta-analysis are highlighted in bold. The total number of significant associations in each model is given. Table S4. Utility of the methylation risk scores (MRS): association with cardiovascular (CVD) or coronary (CHD) incidence and assessment of their predictive capacity. MRSs were based on the results from model 1 of incident CHD and CVD. Analyses of the association with the CVD or CHD incidence were adjusted for age, sex, total cholesterol and HDL-C levels, diabetes, smoking status, systolic blood pressure, and hypertensive treatment, which are the cardiovascular risk factors considered in the Framingham risk function. Analysis of the improvement in the predictive capacity of the Framingham function was performed with and without the corresponding MRS. Table S5. Results of the Wald ratio method applied to determine the causality between the identified CpGs and coronary heart disease or myocardial infarction.
DOI: 10.26165/juelich-data/abivip
title: Replication Data for: Gutzen, R., Grün, S., Denker, M., 2023. Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.

description: Code and data repository accompanying: Gutzen, R., Grün, S., Denker, M., 2023. Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles. Biosystems 223, 104813. https://doi.org/10.1016/j.biosystems.2022.104813
DOI: 10.6084/m9.figshare.17084180.v1
title: Additional file 11 of Genome-wide investigation of the AP2/ERF gene family in ginger: evolution and expression profiling during development and abiotic stresses

description: Additional file 11: Table S5. The lists of ginger and other species AP2ERF synteny gene pairs.
DOI: 10.6084/m9.figshare.18132544
title: Additional file 6 of Edaravone activates the GDNF/RET neurotrophic signaling pathway and protects mRNA-induced motor neurons from iPS cells

description: Additional file 6: Table S5. IPA signaling pathways enriched in edaravone down-regulated genes.