cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13489863.v1
title: Unigene.fasta

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.
DOI: 10.6084/m9.figshare.13489869
title: Transcript data for passion fruit chilling stress

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.<br>
DOI: 10.6084/m9.figshare.13489869.v2
title: Transcript data for passion fruit chilling stress

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.<br>
DOI: 10.6084/m9.figshare.13489869.v1
title: Transcript data for passion fruit chilling stres

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.<br>
DOI: 10.6084/m9.figshare.13489863.v2
title: Unigene of passion fruit chilling stress.fasta

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.
DOI: 10.6084/m9.figshare.13489872
title: Physical controls of summer variations in bottom layer oxygen in the coastal hypoxic region off the northeastern Shandong Peninsula in the Yellow Sea

description: Observations used in the paper by Zhai et al. (2020) submitted to JGR-Oceans.
DOI: 10.6084/m9.figshare.13489872.v1
title: Physical controls of summer variations in bottom layer oxygen in the coastal hypoxic region off the northeastern Shandong Peninsula in the Yellow Sea

description: Observations used in the paper by Zhai et al. (2020) submitted to JGR-Oceans.
DOI: 10.6084/m9.figshare.13489863
title: Unigenes of passion fruit chilling stress

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.
DOI: 10.6084/m9.figshare.13489863.v3
title: Unigene of passion fruit chilling stress

description: Chilling stress (CS) is an important limiting factor for the growth and development of passion fruit (<i>Passiflora edulis</i>) in winter in south China. However, little is known about how the passion fruit responds and adapts to CS. In this study, we performed transcriptome sequencing of Huangjinguo (HJG, cold-susceptible) and Tainong 1 (TN1, cold-tolerant) under normal temperature (NT) and CS conditions, and a total of 47,353 unigenes were obtained in 7 databases. Using differentially expressed unigenes (DEGs) analysis, 3,248 and 4,340 DEGswere identified at two stages, respectively. The Gene Ontology (GO) enrichment analysis showed that the DEGs were mainly related to phosphorylation, membrane protein, and catalytic activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the unigenes of plant-pathogen interaction, plant hormone signal transduction and fatty acid metabolism were enriched.Then, the 12,471 filtered unigenes were divided into 8 co-expression modules, and two of which were correlated with CS. In the two modules, 32 hub unigenes were obtained. Furthermore, the unigenes related to CS were validated using quantitative real-time PCR (RT-qPCR). This work showed that the expression levels of CS-related unigenes were very different in two passion fruit cultivars. The results provide information for the development of passion fruit with increased chilling tolerance.
DOI: 10.6084/m9.figshare.13351004
title: Monthly-Interannual Variations of Winter Thermal Stratification in Northeastern Coastal Waters of the Shandong Peninsula in the Yellow Sea

description: Online in situ observations of bottom layer temperature in northeastern coastal waters of the Shandong Peninsula in the Yellow Sea. This data set can be used for personal research purpose after being authorized by the corresponding author.
DOI: 10.6084/m9.figshare.13351004.v1
title: Monthly-Interannual Variations of Winter Thermal Stratification in Northeastern Coastal Waters of the Shandong Peninsula in the Yellow Sea

description: Online in situ observations of bottom layer temperature in northeastern coastal waters of the Shandong Peninsula in the Yellow Sea. This data set can be used for personal research purpose after being authorized by the corresponding author.
DOI: 10.6084/m9.figshare.13489875
title: data

description: cartoon
DOI: 10.6084/m9.figshare.13489875.v2
title: data

description: cartoon
DOI: 10.6084/m9.figshare.13489875.v1
title: data

description: cartoon
DOI: 10.6084/m9.figshare.13219022.v1
title: Calculator_cartoon

description: cartoon
DOI: 10.6084/m9.figshare.13219022
title: Calculator_cartoon

description: cartoon
DOI: 10.6084/m9.figshare.13219076
title: R_language

description: data
DOI: 10.5281/zenodo.4394616
title: AMOC and Climate Responses to Dust Reduction and Greening of Sahara during the Mid-Holocene

description: Data generated in this study is archived here.
DOI: 10.17632/mhdssp4rv2.1
title: Data for: Uncovering temporal-spatial drivers of vehicular NOx emissions in China

description: The dataset contains the estimation result of vehicular NOx emissions, the temporal decomposition result and the spatial decomposition result.
DOI: 10.5281/zenodo.4394666
title: Efeoglu-Ozcan_dataset

description: Metaphor & Symbol
description: no notes
DOI: 10.5281/zenodo.4394665
title: Efeoglu-Ozcan_dataset

description: Metaphor & Symbol
description: no notes
DOI: 10.5517/ccdc.csd.cc24stpg
title: CCDC 1990066: Experimental Crystal Structure Determination

description: Related Article: Koushik Saha, Sourav Kar, Urminder Kaur, Thierry Roisnel, Sundargopal Ghosh|2020|Organometallics|39|4362|doi:10.1021/acs.organomet.0c00532
DOI: 10.5517/ccdc.csd.cc24strj
title: CCDC 1990068: Experimental Crystal Structure Determination

description: Related Article: Koushik Saha, Sourav Kar, Urminder Kaur, Thierry Roisnel, Sundargopal Ghosh|2020|Organometallics|39|4362|doi:10.1021/acs.organomet.0c00532
DOI: 10.5517/ccdc.csd.cc24stsk
title: CCDC 1990069: Experimental Crystal Structure Determination

description: Related Article: Koushik Saha, Sourav Kar, Urminder Kaur, Thierry Roisnel, Sundargopal Ghosh|2020|Organometallics|39|4362|doi:10.1021/acs.organomet.0c00532
DOI: 10.5517/ccdc.csd.cc24stqh
title: CCDC 1990067: Experimental Crystal Structure Determination

description: Related Article: Koushik Saha, Sourav Kar, Urminder Kaur, Thierry Roisnel, Sundargopal Ghosh|2020|Organometallics|39|4362|doi:10.1021/acs.organomet.0c00532
DOI: 10.5517/ccdc.csd.cc24stnf
title: CCDC 1990065: Experimental Crystal Structure Determination

description: Related Article: Koushik Saha, Sourav Kar, Urminder Kaur, Thierry Roisnel, Sundargopal Ghosh|2020|Organometallics|39|4362|doi:10.1021/acs.organomet.0c00532
DOI: 10.5517/ccdc.csd.cc25ys0y
title: CCDC 2024610: Experimental Crystal Structure Determination

description: Related Article: Josh Abbenseth, Florian Wätjen, Markus Finger, Sven Schneider|2020|Angew.Chem.,Int.Ed.|59|23574|doi:10.1002/anie.202011750
DOI: 10.5517/ccdc.csd.cc25yqmh
title: CCDC 2024567: Experimental Crystal Structure Determination

description: Related Article: Josh Abbenseth, Florian Wätjen, Markus Finger, Sven Schneider|2020|Angew.Chem.,Int.Ed.|59|23574|doi:10.1002/anie.202011750
DOI: 10.5281/zenodo.4394470
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4394469
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.14469/hpc/7120
title: A Review of Fuzzy Front End Toolkits

description: 266 Fuzzy Front End Toolkits 1) Appraisal Criteria for Toolkits of 266 Fuzzy Front End Studies 2) Analysis Table of Toolkits of 266 Fuzzy Front End Studies 3) Analysis of Toolkits of 266 Fuzzy Front End Studies 4) A List of 266 Fuzzy Front End Studies
DOI: 10.21227/ezbd-hj15
title: Truck Driving Simulator Experiment

description: There are two experiments. 1st experiment was conducted for design of an automated lane change system. 2nd experiment was conducted for evaluation of the designed automated lane change system. Please refer to the paper for more details.
DOI: 10.21227/sqj8-x703
title: Truck Driving Simulator Experiment

description: There are two experiments. 1st experiment was conducted for design of an automated lane change system. 2nd experiment was conducted for evaluation of the designed automated lane change system. Please refer to the paper for more details.
DOI: 10.25442/hku.13465694
title: Supporting data for "Towards remyelination therapy using human bone marrow stromal cell-derived Schwann cells in rats after traumatic neural injury"

description: Data about the ICC, IHC, EM images and plots of electrophysiological experiments are included.<br>Methodology is included in thesis "Towards remyelination therapy using human bone marrow stromal cell-derived Schwann cells in rats after traumatic neural injury"
DOI: 10.25442/hku.13465694.v1
title: Supporting data for "Towards remyelination therapy using human bone marrow stromal cell-derived Schwann cells in rats after traumatic neural injury"

description: Data about the ICC, IHC, EM images and plots of electrophysiological experiments are included.<br>Methodology is included in thesis "Towards remyelination therapy using human bone marrow stromal cell-derived Schwann cells in rats after traumatic neural injury"
DOI: 10.21227/ky5y-rm90
title: Oral mucosa: digital photometric lens-less spectrozonal transmittance testing of thin slices or ultrathin histological sections.

description: See our next articles.
DOI: 10.21227/p51b-p665
title: PHB measurements with DPSSL and incoherent light sources. Experiment A.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/cqsx-5h48
title: PHB measurements with DPSSL and incoherent light sources. Experiment B.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/4fpn-kf37
title: PHB measurements with DPSSL and incoherent light sources. Experiment C.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/nnq3-1021
title: PHB measurements with DPSSL and incoherent light sources. Experiment B.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/fd4d-xp64
title: PHB measurements with DPSSL and incoherent light sources. Experiment A.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/vfzf-2z16
title: PHB measurements with DPSSL and incoherent light sources. Experiment B.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.21227/aypf-0z29
title: PHB measurements with DPSSL and incoherent light sources. Experiment C.

description: It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.
DOI: 10.5281/zenodo.4394718
title: ArEnMulti30K

description: The target of the dataset is to improve translate performance with another modality (images) along with input sentences. This dataset uses <strong>Flicker30K</strong> dataset images to perform Arabic to English and vice-versa molti-modal translation.
DOI: 10.5281/zenodo.4394717
title: ArEnMulti30K

description: The target of the dataset is to improve translate performance with another modality (images) along with input sentences. This dataset uses <strong>Flicker30K</strong> dataset images to perform Arabic to English and vice-versa molti-modal translation.
DOI: 10.15161/oar.it/73366
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4321123
title: diabetes mellitus and iron metabolic disorders database

description: The database contains data on patients with diabetes mellitus and disorders of carbohydrate metabolism - anthropometric data, data on the state of metabolic control parameters, data on the state of iron metabolism and lipid metabolism.
DOI: 10.5281/zenodo.4321122
title: diabetes mellitus and iron metabolic disorders database

description: The database contains data on patients with diabetes mellitus and disorders of carbohydrate metabolism - anthropometric data, data on the state of metabolic control parameters, data on the state of iron metabolism and lipid metabolism.
DOI: 10.6084/m9.figshare.13489977
title: Bioarginine in Professional Water Polo Players

description: SPSS file
DOI: 10.6084/m9.figshare.13489977.v1
title: Bioarginine in Professional Water Polo Players

description: SPSS file
DOI: 10.25345/c5mj5h
title: MassIVE MSV000086638 - Proteomics of aging Drosophila heads
title: Proteomics of old and young Drosophila heads. More detail to follow.
DOI: 10.21227/rwrb-yj04
title: Honeysuckle flower: multiscale nervature detection using FFTW-based sofytware

description: See our next articles.
DOI: 10.21227/g390-cs78
title: Honeysuckle flower: multiscale nervature detection using FFTW-based sofytware

description: See our next articles.
DOI: 10.21227/43jw-n987
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 287,654 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21227/mnc5-rx03
title: Tilia stem: detection of radial and circular pecularities using FFTW-based software

description: See our next articles.
DOI: 10.21227/z6hj-kh86
title: Tilia stem: detection of radial and circular pecularities using FFTW-based software

description: See our next articles.
DOI: 10.21227/4tvd-r582
title: Cusurbits stem: detection of radial and circular pecularities using FFTW-based software

description: See our next articles.
DOI: 10.21227/42kv-ky62
title: Cusurbits stem: detection of radial and circular pecularities using FFTW-based software

description: See our next articles.