cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20336762.v1
title: Additional file 2 of Diversity and population structure of Nordic potato cultivars and breeding clones

description: Additional file 2.
DOI: 10.6084/m9.figshare.20336765
title: Additional file 3 of Diversity and population structure of Nordic potato cultivars and breeding clones

description: Additional file 3: Table S1. List of the 133 accessions included in the study including information of population (germplasm origin) and clonal type. *Origin for the NordGen population means Nordic country the genotype was collected from, not country of breeding program. **Breeding cycle for breeding clones from the SLU breeding program, Tn. Where n denotes the number of cycles of selections in the breeding program.
DOI: 10.6084/m9.figshare.20336765.v1
title: Additional file 3 of Diversity and population structure of Nordic potato cultivars and breeding clones

description: Additional file 3: Table S1. List of the 133 accessions included in the study including information of population (germplasm origin) and clonal type. *Origin for the NordGen population means Nordic country the genotype was collected from, not country of breeding program. **Breeding cycle for breeding clones from the SLU breeding program, Tn. Where n denotes the number of cycles of selections in the breeding program.
DOI: 10.6084/m9.figshare.20336773
title: Additional file 2 of Long non-coding RNA Tug1 modulates mitochondrial and myogenic responses to exercise in skeletal muscle

description: Additional file 2: Table S1: List of differentially expressed genes with Tug1 knockdown in C2C12 myotubes, n=6 per group. Table S2: Overrepresentation analysis of 867 differentially expressed genes due to Tug1 knockdown in C2C12 myotubes. Table S3: List of differentially expressed genes (FDR&lt;0.01, log2FC&gt;1) at EPS 0h vs. Rest (in Control myotubes). Table S4: List of differentially expressed genes (FDR&lt;0.01, log2FC&gt;1) at EPS 3h vs. Rest (in Control myotubes). Table S5: List of genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S6: List of genes upregulated at EPS 3h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S7: Overrepresentation analysis of 53 genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S8: List of genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) augmented by Tug1 knockdown (FDR&lt;0.05). Table S9: List of genes upregulated at EPS 3h (FDR&lt;0.05, log2FC&gt;0.322) augmented by Tug1 knockdown (FDR&lt;0.05).
DOI: 10.6084/m9.figshare.20336773.v1
title: Additional file 2 of Long non-coding RNA Tug1 modulates mitochondrial and myogenic responses to exercise in skeletal muscle

description: Additional file 2: Table S1: List of differentially expressed genes with Tug1 knockdown in C2C12 myotubes, n=6 per group. Table S2: Overrepresentation analysis of 867 differentially expressed genes due to Tug1 knockdown in C2C12 myotubes. Table S3: List of differentially expressed genes (FDR&lt;0.01, log2FC&gt;1) at EPS 0h vs. Rest (in Control myotubes). Table S4: List of differentially expressed genes (FDR&lt;0.01, log2FC&gt;1) at EPS 3h vs. Rest (in Control myotubes). Table S5: List of genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S6: List of genes upregulated at EPS 3h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S7: Overrepresentation analysis of 53 genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) blunted by Tug1 knockdown (FDR&lt;0.05). Table S8: List of genes upregulated at EPS 0h (FDR&lt;0.05, log2FC&gt;0.322) augmented by Tug1 knockdown (FDR&lt;0.05). Table S9: List of genes upregulated at EPS 3h (FDR&lt;0.05, log2FC&gt;0.322) augmented by Tug1 knockdown (FDR&lt;0.05).
DOI: 10.6084/m9.figshare.20336780
title: Additional file 2 of Ketogenic diets slow melanoma growth in vivo regardless of tumor genetics and metabolic plasticity

description: Additional file 2: Table S1. Composition of control and ketogenic diets. Table S2. Metabolites quantified in plasma of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 3. Table S3. One-way ANOVA results from control vs. ketogenic diet group comparisons of metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 3. Table S4. Overview and filtering result of significantly up- and down-regulated metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 3. Table S5. Metabolic pathway analysis (MetPA) results from control vs. ketogenic diet group comparisons of metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 3. Table S6. Correlation analysis results for plasma metabolites with the pattern 1-2-1-1 in non-tumor mice versus melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 4. Table S7. Polar metabolites quantified in xenograft tissues of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 5. Table S8. One-way ANOVA results from control vs. ketogenic diet group comparisons of polar metabolites quantified in xenograft tissues of melanoma-bearing mice. Related to Fig. 5. Table S9. Overview and filtering result of significantly up- and down-regulated polar metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 5. Table S10. Metabolic pathway analysis (MetPA) results from control vs. ketogenic diet group comparisons of polar metabolites quantified in xenograft tissues of melanoma-bearing mice. Related to Fig. 5. Table S11. Lipids and lipid-like metabolites quantified in plasma of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 6. Table S12. One-way ANOVA results from control vs. ketogenic diet group comparisons of lipids and lipid-like metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 6. Table S13. Overview and filtering result of significantly up- and down-regulated lipids and lipid-like metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 6. Table S14. Lipids and lipid-like metabolites quantified in xenograft tissues of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 7. Table S15. One-way ANOVA results from control vs. ketogenic diet group comparisons of lipids and lipid-like metabolites quantified in xenograft tissue of melanoma-bearing mice. Related to Fig. 7. Table S16. Overview and filtering result of significantly up- and down-regulated lipids and lipid-like metabolites in xenograft tissue of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 7.
DOI: 10.6084/m9.figshare.20336780.v1
title: Additional file 2 of Ketogenic diets slow melanoma growth in vivo regardless of tumor genetics and metabolic plasticity

description: Additional file 2: Table S1. Composition of control and ketogenic diets. Table S2. Metabolites quantified in plasma of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 3. Table S3. One-way ANOVA results from control vs. ketogenic diet group comparisons of metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 3. Table S4. Overview and filtering result of significantly up- and down-regulated metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 3. Table S5. Metabolic pathway analysis (MetPA) results from control vs. ketogenic diet group comparisons of metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 3. Table S6. Correlation analysis results for plasma metabolites with the pattern 1-2-1-1 in non-tumor mice versus melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 4. Table S7. Polar metabolites quantified in xenograft tissues of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 5. Table S8. One-way ANOVA results from control vs. ketogenic diet group comparisons of polar metabolites quantified in xenograft tissues of melanoma-bearing mice. Related to Fig. 5. Table S9. Overview and filtering result of significantly up- and down-regulated polar metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 5. Table S10. Metabolic pathway analysis (MetPA) results from control vs. ketogenic diet group comparisons of polar metabolites quantified in xenograft tissues of melanoma-bearing mice. Related to Fig. 5. Table S11. Lipids and lipid-like metabolites quantified in plasma of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 6. Table S12. One-way ANOVA results from control vs. ketogenic diet group comparisons of lipids and lipid-like metabolites quantified in plasma of melanoma-bearing mice. Related to Fig. 6. Table S13. Overview and filtering result of significantly up- and down-regulated lipids and lipid-like metabolites in plasma of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 6. Table S14. Lipids and lipid-like metabolites quantified in xenograft tissues of melanoma-bearing mice treated with control or ketogenic diets. Related to Fig. 7. Table S15. One-way ANOVA results from control vs. ketogenic diet group comparisons of lipids and lipid-like metabolites quantified in xenograft tissue of melanoma-bearing mice. Related to Fig. 7. Table S16. Overview and filtering result of significantly up- and down-regulated lipids and lipid-like metabolites in xenograft tissue of melanoma-bearing mice treated with control and ketogenic diets. Related to Fig. 7.
DOI: 10.5281/zenodo.6855728
title: Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.

description: This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong>
DOI: 10.5281/zenodo.6855727
title: Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.

description: This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong>
DOI: 10.15151/esrf-es-833341322
title: In-situ investigation of the laser-assisted polarization reversal in ferroelectric nanolayers

description: The speed of the polarization reversal of ferroelectric (FE) nanolayers is of great interest for fundamental research and applications like sensing or data storage. However, the dynamics strongly depends on the domain structure of the thin films. We have shown how the structural and electrical response affect the switching dynamics. In this step we want to investigate how one can increase the speed of the polarization reversal: Therefore, we want to use small electrodes, which reduce the RC time constant of the FE device given by the active area and study how additional laser illumination affects the structural dynamics by strain and/or heat waves using time-resolved X-ray diffraction.
DOI: 10.15151/esrf-es-831305969
title: EASI-STRESS Benchmark and validation

description: EASI-STRESS is a Horizon 2020 project directed at developing validated protocols for residual stress characterization techniques. A specific objective of this project is to produce a range of specimens with which to benchmark high-energy diffraction based techniques against semi-destructive and destructive techniques and computational models. Therefore, there is a need to pursue the measurement of benchmark samples of known provenance which are easily replicable in terms of strict manufacturing tolerances and material controls, as well as residual stress state. The aim of this specific proposal is to measure elastically imposed stress, and plastically imposed residual stress on the first of these reference specimens by synchrotron diffraction.
DOI: 10.15151/esrf-es-881239287
title: Mapping structural inhomogeneities on hybrid halide perovskites thin layers.

description: Mapping structural inhomogeneities on hybrid halide perovskites thin layers with a micro-beam.
DOI: 10.6084/m9.figshare.20336840
title: Additional file 1 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 1. Differentially expressed genes from contrasting genotypes identified in RNA sequencing data.
DOI: 10.6084/m9.figshare.20336840.v1
title: Additional file 1 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 1. Differentially expressed genes from contrasting genotypes identified in RNA sequencing data.
DOI: 10.6084/m9.figshare.20336843
title: Additional file 2 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 2. Gene ontology of DEGs from BPT5204 and TN1.
DOI: 10.6084/m9.figshare.20336843.v1
title: Additional file 2 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 2. Gene ontology of DEGs from BPT5204 and TN1.
DOI: 10.6084/m9.figshare.20336846
title: Additional file 3 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 3. List of upregulated and downregulated genes having biological processes, molecular function and cellular components.
DOI: 10.6084/m9.figshare.20336846.v1
title: Additional file 3 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 3. List of upregulated and downregulated genes having biological processes, molecular function and cellular components.
DOI: 10.6084/m9.figshare.20336849
title: Additional file 4 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 4. List of DEGs from microarray data set.
DOI: 10.6084/m9.figshare.20336849.v1
title: Additional file 4 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 4. List of DEGs from microarray data set.
DOI: 10.6084/m9.figshare.20336852
title: Additional file 5 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 5. List of upregulated and downregulated genes in combined stress.
DOI: 10.6084/m9.figshare.20336852.v1
title: Additional file 5 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 5. List of upregulated and downregulated genes in combined stress.
DOI: 10.6084/m9.figshare.20336855
title: Additional file 6 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 6. DEGs of ribosomal protein encoding genes.
DOI: 10.6084/m9.figshare.20336855.v1
title: Additional file 6 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 6. DEGs of ribosomal protein encoding genes.
DOI: 10.6084/m9.figshare.20336858
title: Additional file 7 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 7. List of primers used in this study
DOI: 10.6084/m9.figshare.20336858.v1
title: Additional file 7 of Transcriptomic responses under combined bacterial blight and drought stress in rice reveal potential genes to improve multi-stress tolerance

description: Additional file 7. List of primers used in this study
DOI: 10.6084/m9.figshare.20336912
title: Additional file 2 of Chloroplastic pentatricopeptide repeat proteins (PPR) in albino plantlets of Agave angustifolia Haw. reveal unexpected behavior

description: Additional file 2: Table S1. Structural characteristics of the 1581 putative PPR sequences filtered with the bioinformatic pipeline. Table S2. Log2 Fold change values of the twelve chloroplastic PPR transcripts selected from RNA-seq data of of A. angustifolia. Table S3. Oligonucleotides designed from the twelve PPR transcripts selected for their validation by qRT-PCR.
DOI: 10.6084/m9.figshare.20336912.v1
title: Additional file 2 of Chloroplastic pentatricopeptide repeat proteins (PPR) in albino plantlets of Agave angustifolia Haw. reveal unexpected behavior

description: Additional file 2: Table S1. Structural characteristics of the 1581 putative PPR sequences filtered with the bioinformatic pipeline. Table S2. Log2 Fold change values of the twelve chloroplastic PPR transcripts selected from RNA-seq data of of A. angustifolia. Table S3. Oligonucleotides designed from the twelve PPR transcripts selected for their validation by qRT-PCR.
DOI: 10.6084/m9.figshare.20336932.v1
title: Additional file 9 of Dichotomous role of Shp2 for naïve and primed pluripotency maintenance in embryonic stem cells

description: Additional file 9: Table S1. Gene lists of regulators for naïve pluripotency (Figure S1C).
DOI: 10.6084/m9.figshare.20336932
title: Additional file 9 of Dichotomous role of Shp2 for naïve and primed pluripotency maintenance in embryonic stem cells

description: Additional file 9: Table S1. Gene lists of regulators for naïve pluripotency (Figure S1C).
DOI: 10.6084/m9.figshare.20336947
title: Additional file 1 of Subacute and chronic proteomic and phosphoproteomic analyses of a mouse model of traumatic brain injury at two timepoints and comparison with chronic traumatic encephalopathy in human samples

description: Additional file 1. Raw data of proteins and phosphoproteins.
DOI: 10.6084/m9.figshare.20336947.v1
title: Additional file 1 of Subacute and chronic proteomic and phosphoproteomic analyses of a mouse model of traumatic brain injury at two timepoints and comparison with chronic traumatic encephalopathy in human samples

description: Additional file 1. Raw data of proteins and phosphoproteins.
DOI: 10.6084/m9.figshare.20336950
title: Additional file 2 of Subacute and chronic proteomic and phosphoproteomic analyses of a mouse model of traumatic brain injury at two timepoints and comparison with chronic traumatic encephalopathy in human samples

description: Additional file 2. Proteins and phosphoproteins in the overlapping pathways.
DOI: 10.6084/m9.figshare.20336950.v1
title: Additional file 2 of Subacute and chronic proteomic and phosphoproteomic analyses of a mouse model of traumatic brain injury at two timepoints and comparison with chronic traumatic encephalopathy in human samples

description: Additional file 2. Proteins and phosphoproteins in the overlapping pathways.
DOI: 10.6084/m9.figshare.20336975
title: Additional file 10 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 10. Charting of cost ingredients
DOI: 10.6084/m9.figshare.20336975.v1
title: Additional file 10 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 10. Charting of cost ingredients
DOI: 10.6084/m9.figshare.20336984
title: Additional file 3 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 3. Data cleaning flow chart
DOI: 10.6084/m9.figshare.20336984.v1
title: Additional file 3 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 3. Data cleaning flow chart
DOI: 10.6084/m9.figshare.20336990
title: Additional file 5 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 5. Charting of study characteristics
DOI: 10.6084/m9.figshare.20336990.v1
title: Additional file 5 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 5. Charting of study characteristics
DOI: 10.6084/m9.figshare.20336993.v1
title: Additional file 6 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 6. The cost conversion table
DOI: 10.6084/m9.figshare.20336993
title: Additional file 6 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 6. The cost conversion table
DOI: 10.6084/m9.figshare.20336996
title: Additional file 7 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 7: Table S2. Evidence on the costs of multimorbidity
DOI: 10.6084/m9.figshare.20336996.v1
title: Additional file 7 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 7: Table S2. Evidence on the costs of multimorbidity
DOI: 10.6084/m9.figshare.20336999
title: Additional file 8 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 8. Checklist and data used for the country comparison
DOI: 10.6084/m9.figshare.20336999.v1
title: Additional file 8 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 8. Checklist and data used for the country comparison
DOI: 10.6084/m9.figshare.20337002
title: Additional file 9 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 9. Homogeneity checklist and data used for the meta-analyses
DOI: 10.6084/m9.figshare.20337002.v1
title: Additional file 9 of Costs of multimorbidity: a systematic review and meta-analyses

description: Additional file 9. Homogeneity checklist and data used for the meta-analyses
DOI: 10.34808/x3k3-yy19
title: L-Homoserine O-acetyltransferase (CaMet2p) activity and inhibition

description: The dataset contains the description of methodology and data files with the results obtained  spectrophotometrically at 412 nm to determine the rate of fungal enzyme activity. The goal of the study was to obtain conditions optimal for  L-homoserine O-acetyltransferase (Met2p) activity as well as evaluation of inhibitory potential of commercially available and synthesized within the frame of the project substrates analogues.
The studies were financially supported from the project OPUS 20 financed by the National Science Centre (No. UMO-2020/39/B/NZ7/01519).
DOI: 10.5519/qd.ladn99wr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1814 records)
DOI: 10.5519/qd.ygu8xgip
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (207 records)
DOI: 10.11588/data/et9g9x/vrvbeg
title: VonFreySegmentNWMedian.zip

description: :unav
DOI: 10.11588/data/et9g9x/cpmj0y
title: VonFreySegment.zip

description: :unav
DOI: 10.11588/data/et9g9x/8udmax
title: Mouse NO1.zip
DOI: 10.11588/data/et9g9x/hmvgt0
title: Mouse NO2.zip
DOI: 10.11588/data/et9g9x/fj7du4
title: Mouse NO3.zip
DOI: 10.11588/data/et9g9x/kgicbl
title: Mouse NO4.zip