cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8196272.v1
title: Additional file 7: of Millennial-scale variability of East Asian summer monsoon inferred from sea surface salinity in the northern East China Sea (ECS) and its impact on the Japan Sea during Marine Isotope Stage (MIS) 3

description: Table S2. The calendar ages and depths for core MD01-2407 and references. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8196338.v1
title: Additional file 2: of mRNA profiling reveals significant transcriptional differences between a multipotent progenitor and its differentiated sister

description: Differential gene expression analysis results. Included in this file are: 1- all detected transcripts (mean FPKM ≥1 in at least one cell type), 2- SGP-biased DEGs (p ≤ 0.01 and fold-change ≥2), and 3- hmc-biased DEGs (p ≤ 0.01 and fold-change ≥2). (XLSX 2025 kb)
DOI: 10.6084/m9.figshare.8196353
title: Additional File 5

description: Comparisons of this dataset to other publicly available datasets. Included in this file are: 1- SGP-biased genes that are also annotated as expressed in SGPs on http://wormbase.org , 2- hmc-biased genes that are also annotated as expressed in hmcs on wormbase.org , 3- SGP enriched genes [18] that are also detected in our study, 4- C. elegans transcription factors in the wTF2.0 dataset [54] that are SGP-biased in our dataset, and 5- expression results for C. elegans homologs of pluripotency factors. (XLSX 152 kb)
DOI: 10.6084/m9.figshare.8196158
title: Additional file 1 of Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

description: Table S1. A table showing the number of reads, inferred reads, unique reads, clones, and extracted clones for each sample. (XLS 33 kb)
DOI: 10.6084/m9.figshare.8196272
title: Additional file 7: of Millennial-scale variability of East Asian summer monsoon inferred from sea surface salinity in the northern East China Sea (ECS) and its impact on the Japan Sea during Marine Isotope Stage (MIS) 3

description: Table S2. The calendar ages and depths for core MD01-2407 and references. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8196275
title: Additional file 2: of Prognostic value of B cells in cutaneous melanoma

description: Table S1. All count/nucleotide/diversity measurements for each sample. Table S2 Classification information for each sample. (XLSX 560 kb)
DOI: 10.6084/m9.figshare.8196329
title: Additional file 1: of mRNA profiling reveals significant transcriptional differences between a multipotent progenitor and its differentiated sister

description: Table S1. Primers used in this study. Table S2. Quality control metrics for RNA-sequencing libraries. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8196329.v1
title: Additional file 1: of mRNA profiling reveals significant transcriptional differences between a multipotent progenitor and its differentiated sister

description: Table S1. Primers used in this study. Table S2. Quality control metrics for RNA-sequencing libraries. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8196338
title: Additional file 2: of mRNA profiling reveals significant transcriptional differences between a multipotent progenitor and its differentiated sister

description: Differential gene expression analysis results. Included in this file are: 1- all detected transcripts (mean FPKM ≥1 in at least one cell type), 2- SGP-biased DEGs (p ≤ 0.01 and fold-change ≥2), and 3- hmc-biased DEGs (p ≤ 0.01 and fold-change ≥2). (XLSX 2025 kb)
DOI: 10.6084/m9.figshare.8196341
title: Additional File 3:

description: GO term enrichment analysis of the differentially expressed genes. Included in this file are: 1- GO-slim Biological Process analysis of SGP DEGs (FDR
DOI: 10.6084/m9.figshare.8196341.v1
title: Additional File 3:

description: GO term enrichment analysis of the differentially expressed genes. Included in this file are: 1- GO-slim Biological Process analysis of SGP DEGs (FDR
DOI: 10.6084/m9.figshare.8196347
title: Additional File 4:

description: Comparisons of this dataset to muscle and neural expression datasets. Included in this file are: 1- total muscle enriched genes [32] that are also SGP-biased or hmc-biased, 2- larval pan-neural enriched genes [31] that are also SGP-biased or hmc-biased, 3- genes that are expressed in muscle, neuron, and hmc, 4- GO terms for genes that are expressed in muscle and hmc. 5- GO terms for genes that are expressed in neuron and hmc. 6- genes that are involved in the synaptic vesicle cycle [59], 7- genes that encode components of thin and thick filaments of body wall muscle [60], and 8- genes that encode FMRF-like and insulin-like peptides. (XLSX 159 kb)
DOI: 10.6084/m9.figshare.8196347.v1
title: Additional File 4:

description: Comparisons of this dataset to muscle and neural expression datasets. Included in this file are: 1- total muscle enriched genes [32] that are also SGP-biased or hmc-biased, 2- larval pan-neural enriched genes [31] that are also SGP-biased or hmc-biased, 3- genes that are expressed in muscle, neuron, and hmc, 4- GO terms for genes that are expressed in muscle and hmc. 5- GO terms for genes that are expressed in neuron and hmc. 6- genes that are involved in the synaptic vesicle cycle [59], 7- genes that encode components of thin and thick filaments of body wall muscle [60], and 8- genes that encode FMRF-like and insulin-like peptides. (XLSX 159 kb)
DOI: 10.6084/m9.figshare.8196371.v1
title: Additional file 1: of Transient multifocal genomic crisis creating chromothriptic and non-chromothriptic rearrangements in prezygotic testicular germ cells

description: Table S1. List of genes analyzed for pathogenic SNVs. Table S2. Genes and transcripts affected by the chromosomal rearrangements. Table S3. Summary of de novo rearrangements in previously reported cases and the present case. Table S4. Representative results of SNV-genotyping of the duplicated regions on chromosomes 6 and 13. Table S5. Representative results of haplotype-phasing. Table S6. Characteristics of the breakpoints. (XLSX 386 kb)
DOI: 10.6084/m9.figshare.8196353.v1
title: Additional File 5

description: Comparisons of this dataset to other publicly available datasets. Included in this file are: 1- SGP-biased genes that are also annotated as expressed in SGPs on http://wormbase.org , 2- hmc-biased genes that are also annotated as expressed in hmcs on wormbase.org , 3- SGP enriched genes [18] that are also detected in our study, 4- C. elegans transcription factors in the wTF2.0 dataset [54] that are SGP-biased in our dataset, and 5- expression results for C. elegans homologs of pluripotency factors. (XLSX 152 kb)
DOI: 10.6084/m9.figshare.8196371
title: Additional file 1: of Transient multifocal genomic crisis creating chromothriptic and non-chromothriptic rearrangements in prezygotic testicular germ cells

description: Table S1. List of genes analyzed for pathogenic SNVs. Table S2. Genes and transcripts affected by the chromosomal rearrangements. Table S3. Summary of de novo rearrangements in previously reported cases and the present case. Table S4. Representative results of SNV-genotyping of the duplicated regions on chromosomes 6 and 13. Table S5. Representative results of haplotype-phasing. Table S6. Characteristics of the breakpoints. (XLSX 386 kb)
DOI: 10.6084/m9.figshare.8196443.v1
title: Additional file 3: of Drug repositioning of herbal compounds via a machine-learning approach

description: Table S3. Detailed prediction results of existing drugs. Table S4. Detailed prediction results of herbal compounds. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.8196458
title: Additional file 1: of Drought stress stimulates endocytosis and modifies membrane lipid order of rhizodermal cells of Medicago truncatula in a genotype-dependent manner

description: Table S1. Values of the traits of Medicago truncatula accessions after 12 days in pouches without PEG (none) or with PEG treatment on biomasses and root architectural traits. Mean ± standard deviation of 15 seedlings. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.8196443
title: Additional file 3: of Drug repositioning of herbal compounds via a machine-learning approach

description: Table S3. Detailed prediction results of existing drugs. Table S4. Detailed prediction results of herbal compounds. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.8196458.v1
title: Additional file 1: of Drought stress stimulates endocytosis and modifies membrane lipid order of rhizodermal cells of Medicago truncatula in a genotype-dependent manner

description: Table S1. Values of the traits of Medicago truncatula accessions after 12 days in pouches without PEG (none) or with PEG treatment on biomasses and root architectural traits. Mean ± standard deviation of 15 seedlings. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.8196500
title: MOESM1 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 1: Table S1. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 1 - A, Figure 1 - B and Figure 1 - C respectively. In Figure 1 - A there are data for the survival curve. The “Day” column indicates in which day flies have died. The “Code” column means that the fly has died (1 - death). The “Group” column indicates the tested genotype. In Figure 1 - B there are data for the activity of the fruit fly: Total activity, sleep time during the day and at night, respectively. Columns marked “Minutes” indicate the time of activity / sleep of the fruit fly measured within 24 h. In Figure 1 - C there are results showing period of circadian rhythm of locomotor activity measured for 7 days under conditions of constant darkness.
DOI: 10.6084/m9.figshare.8196500.v1
title: MOESM1 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 1: Table S1. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 1 - A, Figure 1 - B and Figure 1 - C respectively. In Figure 1 - A there are data for the survival curve. The “Day” column indicates in which day flies have died. The “Code” column means that the fly has died (1 - death). The “Group” column indicates the tested genotype. In Figure 1 - B there are data for the activity of the fruit fly: Total activity, sleep time during the day and at night, respectively. Columns marked “Minutes” indicate the time of activity / sleep of the fruit fly measured within 24 h. In Figure 1 - C there are results showing period of circadian rhythm of locomotor activity measured for 7 days under conditions of constant darkness.
DOI: 10.6084/m9.figshare.8196512
title: MOESM2 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 2: Table S2. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 2 - A, Figure 2 – B, Figure 2 – C and Figure 2 -D respectively. In Figure 2 - A / B / C, there are presented results (RQ) for the expression of the per, tim and clock genes, respectively, at four time points. All data was averaged to the rpl32. Figures 2 - C show data for Western Blot analysis of PER protein. Data comes from densitometry, and has been averaged to load control - alpha tubulin
DOI: 10.6084/m9.figshare.8196515
title: Additional file 2 of MHCSeqNet: a deep neural network model for universal MHC binding prediction

description: Table S1 â   The MHC allele-specific AUC for each software tool evaluated on the binding affinity dataset. (TSV 8 kb)
DOI: 10.6084/m9.figshare.8196515.v1
title: Additional file 2 of MHCSeqNet: a deep neural network model for universal MHC binding prediction

description: Table S1 â   The MHC allele-specific AUC for each software tool evaluated on the binding affinity dataset. (TSV 8 kb)
DOI: 10.6084/m9.figshare.8196518
title: MOESM3 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 3: Table S3. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 3 – A and Figure 3 - B, respectively. Figure 3 - A shows the data for Western Blot analysis of the SOD1 protein. Results from densitometry have been averaged to load control - alpha tubulin. In Figure 3 - B there are data (fluorescence intensity measured using the ImageJ) showing the level of free radicals.
DOI: 10.6084/m9.figshare.8196518.v1
title: MOESM3 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 3: Table S3. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 3 – A and Figure 3 - B, respectively. Figure 3 - A shows the data for Western Blot analysis of the SOD1 protein. Results from densitometry have been averaged to load control - alpha tubulin. In Figure 3 - B there are data (fluorescence intensity measured using the ImageJ) showing the level of free radicals.
DOI: 10.6084/m9.figshare.8196521
title: Additional file 3 of MHCSeqNet: a deep neural network model for universal MHC binding prediction

description: Table S2 â   The cleaned peptide-MHC binding affinity dataset. (TSV 8645 kb)
DOI: 10.6084/m9.figshare.8196521.v1
title: Additional file 3 of MHCSeqNet: a deep neural network model for universal MHC binding prediction

description: Table S2 â   The cleaned peptide-MHC binding affinity dataset. (TSV 8645 kb)
DOI: 10.6084/m9.figshare.8196524
title: MOESM4 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 4: Table S4. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 4 – D and Figure 4 - E, respectively. Figure 4 - D shows the results (fluorescence intensity measured using the ImageJ) level of ATG5 protein in PDF-positive perycaryon of l-LNvs. In Figure 4 - E, the results of Western blot analysis of the ATG5 protein in the canine fruit fly are shown. Densitometry results were averaged to load control - alpha tubulin.
DOI: 10.6084/m9.figshare.8196524.v1
title: MOESM4 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 4: Table S4. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 4 – D and Figure 4 - E, respectively. Figure 4 - D shows the results (fluorescence intensity measured using the ImageJ) level of ATG5 protein in PDF-positive perycaryon of l-LNvs. In Figure 4 - E, the results of Western blot analysis of the ATG5 protein in the canine fruit fly are shown. Densitometry results were averaged to load control - alpha tubulin.
DOI: 10.6084/m9.figshare.8196512.v1
title: MOESM2 of Effects of MUL1 and PARKIN on the circadian clock, brain and behaviour in Drosophila Parkinson’s disease models

description: Additional file 2: Table S2. All raw data for the graphs presented in Figure 1. The sheets have numbered charts: Figure 2 - A, Figure 2 – B, Figure 2 – C and Figure 2 -D respectively. In Figure 2 - A / B / C, there are presented results (RQ) for the expression of the per, tim and clock genes, respectively, at four time points. All data was averaged to the rpl32. Figures 2 - C show data for Western Blot analysis of PER protein. Data comes from densitometry, and has been averaged to load control - alpha tubulin
DOI: 10.6084/m9.figshare.8197037.v1
title: Additional file 14: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: S. littoralis CXE/CCE protein sequences. Contains updated amino acid sequences for all annotated S. littoralis carboxy/cholinesterase proteins. (TXT 29 kb)
DOI: 10.6084/m9.figshare.8197052.v1
title: Additional file 17: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: S. littoralis CYP protein sequences. Contains updated amino acid sequences for all annotated S. littoralis Cytochrome p450 proteins. (TXT 41 kb)
DOI: 10.6084/m9.figshare.8197067.v1
title: Additional file 1: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: Metrics on Biological Samples. Includes input RNA concentration, purity, and also number of quality controlled and filtered read pairs per sequenced samples. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.8197070.v1
title: Additional file 20: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: S. littoralis SNMP protein sequences. Contains updated amino acid sequences for all annotated S. littoralis sensory neuron membrane proteins. (TXT 1 kb)
DOI: 10.6084/m9.figshare.8197088.v1
title: Additional file 2: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: Bioinformatic Information for Male and Female Transcriptomes. Contains basic information on the transcriptomes at various stages of processing, including total number of sequences, mean sequence length, N50 and other parameters. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.8197202.v1
title: Number of 3-gram Overlaps

description: duplicate 3-grams
DOI: 10.6084/m9.figshare.8197079.v1
title: Additional file 22: of Transcriptome Analysis of Gene Families Involved in Chemosensory Function in Spodoptera littoralis (Lepidoptera: Noctuidae)

description: PCR primer sequences and expected fragment sizes. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8197196.v1
title: 3-grams

description: Duplicated 3-grams
DOI: 10.6084/m9.figshare.8197352.v1
title: Supplementary table 1.docx

description: <b>DEPTOR inhibits cell proliferation and confers
sensitivity to dopamine agonist in pituitary adenoma</b><br>
DOI: 10.6084/m9.figshare.8197697.v1
title: return

description: daily return of series
DOI: 10.6084/m9.figshare.8197823.v1
title: Companion of the Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation article

description: This archive is an experimental artifact associated to the paper entitled 
"Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation" published in the proceedings of the Euro-Par'19 conference.<br>
DOI: 10.6084/m9.figshare.8198285.v1
title: Effects of noise and reverberation on speech recognition with variants of a multichannel adaptive dynamic range compression scheme

description: <b>Objective:</b> Adaptive compression methods in hearing aids have been developed to maximise audibility while preserving temporal envelope modulations. Increasing the number of channels may improve listening comfort for loud sounds. However, the effects of this on speech recognition in different environmental conditions are unknown. This study evaluated the effects of different channel architectures and adaptive compression properties on speech recognition in noise and reverberation. <b>Design:</b> Sentences were mixed with steady or modulated noise at three signal-to-noise ratios (SNRs). These were processed with and without reverberation and amplified with four proprietary adaptive compression methods or linear amplification. <b>Study sample:</b> 36 listeners with mild to moderately-severe hearing loss. <b>Results:</b> Adaptive compression improved speech recognition over linear amplification to a small extent, with no significant differences among methods using 4 or 24 channels or a combination thereof. These effects remained across the different background noise and reverberation conditions. <b>Conclusions:</b> Increasing the number of channels does not negatively affect speech recognition in noise and reverberation when adaptive compression is used. If future research shows that increasing the number of channels improves listening comfort for loud sounds, these results indicate that adaptive compression methods with as many as 24 channels are viable options for hearing aids.
DOI: 10.6084/m9.figshare.8198681.v1
title: Residual solvent or intrinsically formed during production: analysing volatile compounds in unrefined vegetable oils using headspace gas chromatography coupled with mass spectrometry

description: Vegetable oils are an essential part of a healthy and balanced diet and have major economic significance. The type of production, whether performed by extraction with solvents, or by mechanical techniques, significantly influences the quality of the oil and its potential field of use. Occasionally, volatile organic substances, which are considered indicative for an oil that has been produced by solvent extraction, are detected in unrefined vegetable oils. This can have a negative impact on high-quality oil mills and their reputation. The goal of the study was to analyse unrefined oils of different raw materials for such compounds. A previously developed and validated method using headspace gas chromatography coupled with a mass spectrometry was used for this task. Another aim was to determine the origin of any solvent residues in the vegetable oils and to find ways to avoid them. Complementary measurements by solid phase micro extraction gas chromatography were conducted to compare the results of the measurements to an orthogonal methodology. Multivariate data analysis was used to find correlations between the spectrum of substances in the oil and other parameters like the producer of the oil or the pattern of fatty acids.
DOI: 10.6084/m9.figshare.8198687.v1
title: A new tool to assess ecosystem health in large subtropical reservoirs: Development and validation of a Planktonic Index of Biotic Integrity

description: We developed and validated a Planktonic Index of Biotic Integrity for subtropical reservoirs to assess their ecosystem health. For this purpose, we analyzed the phytoplankton and zooplankton communities and determined reservoir trophic status in the Paranapanema River system (Southeast Brazil). Eleven dams were constructed in the main course of this river to supply hydropower plants. Three of the reservoirs are accumulation systems (i.e. with high water retention times), whereas the others are run-of-the-river systems. For the study the three larger reservoirs (Jurumirim, Chavantes and Capivara) were selected. Physical, chemical, and biological (phytoplankton and zooplankton) data were obtained in two sampling campaigns carried out in March (wet season) and October (dry season) of 2011. For each reservoir we sampled six stations, arranged on a gradient established between the lotic (Paranapanema River entrance) and lentic (dam) areas. According to the Trophic State Index for tropical/subtropical reservoirs, the sampling stations were categorized between ultraoligotrophic and mesotrophic. Four metrics achieved significant discrimination (out of a set of 20 candidate metrics). The individual metric scores were summed to provide a Planktonic Index of Biotic Integrity score, which ranged as Mesotrophic (4-9), Oligotrophic (10-14) and Ultraoligotrophic (15-20), corresponding to the classification of fair, good and excellent, respectively. Following the longitudinal sequence, Jurumirim was classified as Oligotophic (Good) and both Chavantes and Capivara as Ultraoligotrophic (Excellent). This study demonstrated that the Planktonic Index of Biotic Integrity is a potential tool for monitoring large subtropical reservoirs, as planktonic organisms are sensitive to environmental changes and this index integrates distinct temporal and spatial scales.
DOI: 10.6084/m9.figshare.8198801.v1
title: SciReports_Forest_SEAF_LPG_3D.xlsx

description: The data provides simulation of Southeast Asian Tropical forest growth (Kallio et al., 1987) under the influence of varied discount rate (delta), marginal rate of substitution of fuelwood by its substitute (alpha/beta) and Cultural & Spiritual Value (CSV) (phi). <br>Kallio, M., Dykstra, D. & Binkley, C. Z. E. The global forest
sector: an analytical perspective. <i>Glob. For. Sect. Anal. Perspect.</i>
(1987).<br>