cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p3dwwn6r43.1
title: Spatiotemporal rainfall pattern classification

description: Characteristics of heavy rainfall disasters are strongly influenced by the spatiotemporal patterns as well as the amounts of rainfall. For example, the location and intensity of damage within a river basin and the pattern of damage (flooding from rivers, flooding from inland waters, sediment-related disasters, etc.) The data include a source code and sample data for classifying rainfall events based on spatiotemporal rainfall patterns. The classification method, which classifies rainfall events separately in terms of temporal and spatial aspects, can identify representative heavy rainfall patterns with characteristic hydrograph features, such as peak discharge. The classification method can be used to examine the impact of the spatiotemporal distribution of rainfall on the flood hydrologic response and discuss the reduction of the risks associated with heavy rainfall in any catchment.
DOI: 10.17632/p3dwwn6r43.2
title: Spatiotemporal rainfall pattern classification

description: Characteristics of heavy rainfall disasters are strongly influenced by the spatiotemporal patterns as well as the amounts of rainfall. For example, the location and intensity of damage within a river basin and the pattern of damage (flooding from rivers, flooding from inland waters, sediment-related disasters, etc.) The data include a source code and sample data for classifying rainfall events based on spatiotemporal rainfall patterns. The classification method, which classifies rainfall events separately in terms of temporal and spatial aspects, can identify representative heavy rainfall patterns with characteristic hydrograph features, such as peak discharge. The classification method can be used to examine the impact of the spatiotemporal distribution of rainfall on the flood hydrologic response and discuss the reduction of the risks associated with heavy rainfall in any catchment.
DOI: 10.17632/d6y5x2y9s6.1
title: Evaluation of Genetic Structure Rapeseed (Brassica napus L.) Cultivars with SNP Marker

description: Abstract: Understanding the genetic structure of rapeseed cultivars is a prerequisite to assess population structure, haplotype block, phylogenetic pedigree in the target population. In this research, we selected 85 rapeseed (Brassica napus L. ) cultivars from various areas. haplotype block, SNP hotspots, and phylogenetic pedigree were analyzed with Single Nucleotide Polymorphisms (SNPs) marker. Population structure is analyzed by using the 5058 SNP marker in the 85 rapeseed cultivars. As K value incremented aside from 1 into 10, ΔK was recognized at K = 2. hence, the 85 rapeseed cultivars are branched into two subgroups, selected P1 subgroups, also P2 subgroups, including 13 and 72 cultivars respectively. In this research, the haplotype block analysis presented that the SNP markers number in A subgenome is more than the C subgenome, the block numbers on chromosomes A06 and C03 are greater than the other chromosomes and the lowest block number is on chromosome C09. The hotspots of SNP were defined by SNP position, mutation frequency, and the number of SNPs per 100Kbp on the chromosome. The Highest and the lowest numbers of SNP hotspots were found (432) and (134) on chromosome C03 and C09 respectively. The phylogenetic pedigree was constructed, neighbor-joining is built based on genetic similarity and kinship. In this study, 85 rapeseeds are branched into 12 major groups.
DOI: 10.5281/zenodo.4196717
title: Data supporting the manuscript "Initial assemblage characteristics determine the functional dynamics of flower-strip plant communities"

description: Original data recorded by the authors.
DOI: 10.5281/zenodo.4196716
title: Data supporting the manuscript "Initial assemblage characteristics determine the functional dynamics of flower-strip plant communities"

description: Original data recorded by the authors.
DOI: 10.6084/m9.figshare.21261696
title: CHARACTERISTICS OF CHRONIC LEG ULCERS AMONG PATIENTS FROM NAKURU, KENYA AND THEIR ASSOCIATED QUALITY OF LIFE.

description: We carried out a descriptive cross-sectional study at our facility, Nakuru Level 5 Hospital, Kenya on patients with chronic leg ulcers undergoing care at our facility. <br> Quality of life data was collected with a self-administered questionnaire developed using the validated <em>Short Form 36 Health Survey (SF-36) tool.</em> . Scores of the SF-36 quality of life (QoL) questions were recorded.
DOI: 10.6084/m9.figshare.21261696.v1
title: CHARACTERISTICS OF CHRONIC LEG ULCERS AMONG PATIENTS FROM NAKURU, KENYA AND THEIR ASSOCIATED QUALITY OF LIFE.

description: We carried out a descriptive cross-sectional study at our facility, Nakuru Level 5 Hospital, Kenya on patients with chronic leg ulcers undergoing care at our facility. <br> Quality of life data was collected with a self-administered questionnaire developed using the validated <em>Short Form 36 Health Survey (SF-36) tool.</em> . Scores of the SF-36 quality of life (QoL) questions were recorded.
DOI: 10.6084/m9.figshare.19518799
title: Prostate

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of prostate cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518808
title: Breast

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of breast cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518808.v1
title: Breast

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of breast cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518811
title: Brain

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of brain cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518814
title: Kidney

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of kidney cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518817
title: TumorMet repository

description: Summarization of the repository content
DOI: 10.6084/m9.figshare.19518802
title: Lung

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of lung cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.6084/m9.figshare.19518820
title: Simplified networks

description: Metabolites-based_tissue sub-networks of a subset of kidney and lung cancer samples in graphml format; sample_sheet.tsv tabular files containing GDC samples metadata, namely clinical information of samples.
DOI: 10.6084/m9.figshare.19518805
title: Ovary

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of ovary cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; sample_sheet_subtypes tabular file containing for each GDC sample the assignment of HGSOC subtype; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.5281/zenodo.7138051
title: Genetic Constructs of From UManitoba iGEM 2022 ZebraZap

description: The file titled zebrazap_plasmids.zip contains all of the plasmids mentioned in the ZebraZap project, they are available as annotated GenBank files. The file titled zebrazap_primmers.zip contains all of the primmers mentioned in the ZebraZap project, they are available as annotated GenBank files.
DOI: 10.5281/zenodo.7138050
title: Genetic Constructs of From UManitoba iGEM 2022 ZebraZap

description: The file titled zebrazap_plasmids.zip contains all of the plasmids mentioned in the ZebraZap project, they are available as annotated GenBank files. The file titled zebrazap_primmers.zip contains all of the primmers mentioned in the ZebraZap project, they are available as annotated GenBank files.
DOI: 10.6084/m9.figshare.20285808
title: Dataset of Urban Hotels ReviewsHotel Reviews

description: Data were collected from a hotel reservation website (2,562 reviews extracted from Booking.com)
DOI: 10.6084/m9.figshare.20285808.v3
title: Dataset of Urban Hotels Reviews

description: Data were collected from a hotel reservation website (2,562 reviews extracted from Booking.com)
DOI: 10.5281/zenodo.7137530
title: Data for The Contribution of the Ion−Ion and Ion−Solvent Interactions in a 2 Molecular Thermodynamic Treatment of Electrolyte Solutions

description: Data for the figures in the publication Kournopoulos et al. JPCB 2022
DOI: 10.5281/zenodo.7137529
title: Data for The Contribution of the Ion−Ion and Ion−Solvent Interactions in a 2 Molecular Thermodynamic Treatment of Electrolyte Solutions

description: Data for the figures in the publication Kournopoulos et al. JPCB 2022
DOI: 10.34740/kaggle/dsv/4277530
title: YouTube Daily
DOI: 10.6084/m9.figshare.21207719.v1
title: SERI

description: Italian Adaptation of Semi structured Emotion regulation Interview
DOI: 10.6084/m9.figshare.21207719
title: SERI

description: Italian Adaptation of Semi structured Emotion regulation Interview
DOI: 10.6084/m9.figshare.21207719.v3
title: SERI

description: Italian Adaptation of Semi structured Emotion regulation Interview
DOI: 10.6084/m9.figshare.21207719.v2
title: SERI

description: Italian Adaptation of Semi structured Emotion regulation Interview
DOI: 10.6084/m9.figshare.20729545
title: Trait hypervolumes based on natural history collections can detect ecological strategies that are distinct to biogeographic regions

description: <strong>specimen_localities_for_mapping_trait_hypervolumes.csv</strong> Point localities of specimens held in natural history collections for a random sample of 575 angiosperm species that all occur in the continent of Africa. Some of the localities were georeferenced as part of this research. Localities were spatially disaggregated using the R package <em>ecospat</em> prior to use in Species Distribution Models that were then used to spatially project biodiversity metrics. Fields: 1. Source How the specimen locality data was obtained: <strong>GBIF</strong> = from the Global Biodiversity Information Facility, <strong>TROPICOS </strong>= from Tropicos.org. Missouri Botanical Garden, <strong>Taxonomic_literature</strong> = specimens cited in published taxonomic literature, <strong>Kew_herbarium </strong>= specimens seen by authors in the herbarium of the Royal Botanic Gardens, Kew, London. <strong>RAINBIO =</strong> RAINBIO species checklist of tropical African vascular plants, <strong>LMA_herbarium</strong> = specimens seen by authors in the herbarium of the Agricultural Research Institute of Mozambique, Maputo, Mozambique, <strong>Kitwe_herbarium</strong> = specimens seen by authors in the herbarium of the Division of Forest Research Forestry Department, Kitwe, Zambia, <strong>Edinburgh_herbarium</strong> = specimens seen by authors in the herbarium of the Royal Botanic Garden Edinburgh, <strong>Windhoek_herbarium</strong> = specimens seen by authors in the herbarium of the National Herbarium of Namibia, <strong>UPS_herbarium </strong>= specimens seen by authors in the herbarium of the Museum of Evolution, Uppsala, Sweden. 2. Identitiy_number Identity number applied by GBIF to the specimen record 3. scientificName Binomial species name 4. Country Country in which the specimen was made 5. locality Textual description of the locality in which the specimen was made 6. habitat Textual description of the habitat in which the specimen was made 7. day Day of the month on which the specimen was made 8. month Month of the year on which the specimen was made 9. year Year in which the specimen was made 10. recordedBy Person or people who made the specimen 11. rec.Number Number given by collector to collection 12. Error.Diam. Spatial error of georefencing (km) 13. Min_Elev.M. Minimum altitude (m) 14. Max_Elev.M. Maximum altitude (m) 15. decimalLatitude Coordinates of latitude 16. decimalLongitude Coordinates of longitude 17. Label..notes Additional information recorded about the location of specimen collection 18. Georeferenced Whether each specimen record was (1) or was not (0) georeferenced (i.e. coordinates inferred from a textual description of locality) during this research <br> <strong>taxonomic_references_from_which_trait_values_obtained.docx</strong> Taxonomic publications from which trait values were extracted.
DOI: 10.6084/m9.figshare.20065826.v1
title: Supplementary Material for: Transferability of health-related quality of life data of large observational studies to clinical practice – comparing retroperitoneal sarcoma patients from the PROSa study to a TARPS-WG cohort

description: Introduction: Health-Related Quality of Life (HRQoL) is crucial for shared decision-making. The “Patient-Reported Outcome measures in Sarcoma” (PROSa) study evaluated HRQoL in general. We evaluated the transferability of PROSa data to clinical practice for the subgroup of retroperitoneal sarcoma (RPS). Methods: To obtain a PROSa-RPS cohort we excluded patients with bone sarcomas and gastrointestinal stromal tumors from the complete PROSa-cohort (n=1113), limited tumor localization to trunk and retroperitoneum and excluded patients with metastases. We evaluated the HRQoL data of the resulting 76 patients and compared their clinical data to those of the Transatlantic Autralasian Retroperitoneal Sarcoma Working Group (TARPS-WG, n=1007). Results: Confidence intervals for patient sex, histological subtype (LPS vs. non-LPS), grading (G1 vs. G2/3), surgical margins (R2 vs. no R2) and perioperative chemo- and radiotherapy (yes vs. no) were overlapping in both cohorts. EORTC QLQ-C30 from RPS-PROSa patients demonstrated that two thirds had clinically relevant restrictions in physical functioning. Two thirds reported dyspnoea, followed by fatigue and pain. Conclusion: Clinical data from RPS-PROSa patients are comparable to those of a RPS reference cohort from expert centers. We believe that HRQoL-data of RPS patients extracted from PROSa are transferable to clinical practice.
DOI: 10.6084/m9.figshare.20624583
title: Supplementary Material for: Weight change over 4 years and risk of cardiovascular diseases in Chinese: The China Health and Retirement Longitudinal Study

description: Abstract Introduction: Previous studies had reported the impact of weight changes in middle age on the incidence of cardiovascular disease (CVD), but the results were inconsistent. In present study, we aimed to investigated the impact of a 4-year weight change on the risk of CVD in middle-aged and elderly Chinese individuals. Methods: Using nationally representative data from the China Health and Retirement Longitudinal Study, 7,530 participants (age: 58.2 ± 8.9 years) were included. Weight change was calculated by subtracting weight at baseline from that at 4-year follow-up. Weight change over 4 years was divided into five categories (loss ≥5 kg; loss 2–5 kg; stable (change ≤ 2 kg); gain 2–5 kg; and gain ≥5 kg). Results: During the follow-up period, a total of 758 respondents experienced CVD (including 319 stroke and 477 cardiac events). The multivariable ORs of CVD for gain ≥5 kg compared to stable weight (change ≤2 kg) was 1.50 (95% CI, 1.14–1.97) versus 1.41(1.09-1.83) for losing ≥5 kg. Multivariable-adjusted logistic regression model with restricted cubic splines showed a U-shaped association between weight change and the risk of CVD (p for nonlinearity &lt;0.001). The significant associations did not change in subgroup and sensitivity analysis. Weight change was also associated with higher risk of stroke and cardiac events. Conclusion: Weight changes (weight gain or loss more than 5kg) during middle age was associated with an increased risk of CVD in middle-aged and elderly Chinese individuals.
DOI: 10.5281/zenodo.7116643
title: Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz - Modelldaten

description: Modellierte Rohdaten zugehörig zum Agroscope Science-Bericht: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | Nr. 107 / 202, https://doi.org/10.34776/as107g Modelled raw data associated with Agroscope Science report: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz (Calculation of irrigation needs under current and future conditions in Switzerland), Agroscope Science | No. 107 / 202, https://doi.org/10.34776/as107g Données brutes modélisées associées au rapport Agroscope Science : Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | Nr. 107 / 202, https://doi.org/10.34776/as107g Dati grezzi modellati associati al rapporto Agroscope Science: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | No. 107 / 202, https://doi.org/10.34776/as107g Parameters: year = simualtion year MOY = month of year DOY = day of year Rain = precipitation [mm] Infil = infiltration [mm] ETa = actual evapotranspiration [mm] SWC = relative soil water content [] Irr = irrigation [mm] Sites: Changins (CGI), Reckenholz (REH), Basel (BAS), Payerne (PAY), Aigle (AIG), Bern (BER) und Güttingen (GUT) Soils: sand, sandy loam, loam, silt, silty clay loam, silty loam, loamy sand, silty clay, clay
description: ! Modelldaten wurden plausibilisiert, aber bislang nicht validiert ! MIT VORSICHT ZU VERWENDEN ! Model data have been plausibilised but not validated yet ! TO BE USED WITH CAUTION ! Les données du modèle ont été plausibilisées, mais pas encore validées ! À UTILISER AVEC PRÉCAUTION ! I dati del modello sono stati plausibilizzati ma non ancora convalidati! DA USARE CON CAUTELA
DOI: 10.5281/zenodo.7116642
title: Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz - Modelldaten

description: Modellierte Rohdaten zugehörig zum Agroscope Science-Bericht: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | Nr. 107 / 202, https://doi.org/10.34776/as107g Modelled raw data associated with Agroscope Science report: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz (Calculation of irrigation needs under current and future conditions in Switzerland), Agroscope Science | No. 107 / 202, https://doi.org/10.34776/as107g Données brutes modélisées associées au rapport Agroscope Science : Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | Nr. 107 / 202, https://doi.org/10.34776/as107g Dati grezzi modellati associati al rapporto Agroscope Science: Eisenring et al. 2021 Berechnung der Bewässerungsbedürfnisse unter aktuellen und zukünftigen Bedingungen in der Schweiz, Agroscope Science | No. 107 / 202, https://doi.org/10.34776/as107g Parameters: year = simualtion year MOY = month of year DOY = day of year Rain = precipitation [mm] Infil = infiltration [mm] ETa = actual evapotranspiration [mm] SWC = relative soil water content [] Irr = irrigation [mm] Sites: Changins (CGI), Reckenholz (REH), Basel (BAS), Payerne (PAY), Aigle (AIG), Bern (BER) und Güttingen (GUT) Soils: sand, sandy loam, loam, silt, silty clay loam, silty loam, loamy sand, silty clay, clay
description: ! Modelldaten wurden plausibilisiert, aber bislang nicht validiert ! MIT VORSICHT ZU VERWENDEN ! Model data have been plausibilised but not validated yet ! TO BE USED WITH CAUTION ! Les données du modèle ont été plausibilisées, mais pas encore validées ! À UTILISER AVEC PRÉCAUTION ! I dati del modello sono stati plausibilizzati ma non ancora convalidati! DA USARE CON CAUTELA
DOI: 10.5281/zenodo.7040283
title: Protein aggregation and calcium dysregulation are the earliest hallmarks of familial Parkinson's disease in human midbrain dopaminergic neurons

description: Mutations in the <em>SNCA</em> gene cause autosomal dominant Parkinson’s disease (PD), with loss of dopaminergic neurons in the substantia nigra, and aggregation of α-synuclein. The sequence of molecular events that proceed from an <em>SNCA</em> mutation during development, to end stage pathology is unknown. Utilising human induced pluripotent stem cells (hiPSCs), we resolved the temporal sequence of SNCA induced pathophysiological events in order to discover early, and likely causative, events. Our small molecule-based protocol generates highly enriched midbrain dopaminergic (mDA) neurons: molecular identity was confirmed using single-cell RNA sequencing and proteomics, and functional identity through dopamine synthesis, and measures of electrophysiological activity. At the earliest stage of differentiation, prior to maturation to mDA neurons, we demonstrate the initial formation of small β-sheet rich oligomeric aggregates, in <em>SNCA</em>-mutant cultures. Aggregation persists and progresses, ultimately resulting in the accumulation of phosphorylated aggregates. Impaired intracellular calcium signalling, increased basal calcium, and impairments in mitochondrial calcium handling occurred early at day 34-41 post differentiation. Once midbrain identity fully developed, at day 48-62 post differentiation, <em>SNCA</em>-mutant neurons exhibited mitochondrial dysfunction, oxidative stress, lysosomal swelling and increased autophagy. Ultimately these multiple cellular stresses lead to abnormal excitability, altered neuronal activity, and cell death. Our differentiation paradigm generates an efficient model for studying disease mechanisms in PD, and highlights that protein misfolding to generate intraneuronal oligomers is one of the earliest critical events driving disease in human neurons, rather than a late-stage hallmark of the disease.