cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2879645.08fu
title: SH2879645.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.19930154
title: Data.zip

description: Data for conglomerate in triaxial compression.
DOI: 10.6084/m9.figshare.19930154.v1
title: Data.zip

description: Data for conglomerate in triaxial compression.
DOI: 10.25582/data.2023-01.2711355/2297648
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853084
title: Additional file 3 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 3: Table S2. Metabolites in serum samples from mock and C. baileyi-infected chickens.
DOI: 10.6084/m9.figshare.14853084.v1
title: Additional file 3 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 3: Table S2. Metabolites in serum samples from mock and C. baileyi-infected chickens.
DOI: 10.6084/m9.figshare.14853087.v1
title: Additional file 4 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 4: Table S3. Differential metabolites between experimental and mock serum samples responsive to C. bailey infection identified by UPLC-MS in this study.
DOI: 10.6084/m9.figshare.14853090
title: Additional file 5 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 5: Table S4. KEGG pathway analysis of all differential metabolites following C. baileyi infection in chickens.
DOI: 10.6084/m9.figshare.14853090.v1
title: Additional file 5 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 5: Table S4. KEGG pathway analysis of all differential metabolites following C. baileyi infection in chickens.
DOI: 10.6084/m9.figshare.14853093
title: Additional file 6 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 6: Table S5. KEGG ID to the differential metabolite name conversion table.
DOI: 10.6084/m9.figshare.14853093.v1
title: Additional file 6 of Serum metabolomics in chickens infected with Cryptosporidium baileyi

description: Additional file 6: Table S5. KEGG ID to the differential metabolite name conversion table.
DOI: 10.25582/data.2023-02.2732356/2297649
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2710009/2297650
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.13280306
title: Geochemistry of major and trace elements in sediments from the north Jiangsu radial sand ridges in the South Yellow Sea: implications on provenance and control factors.xlsx

description: Provenance is well known to be a reliable source of information regarding
the geological history and sedimentation of a particular area. However, there
is still considerable controversy and a lack of knowledge in certain areas;
namely, there is little research on the influence of the grain size effect and
modern sediment composition. Using the inverse model with a geochemical data
set, this study identified the elemental and sedimentary contents of the north Jiangsu radial sand ridges, as well
as the source locations of sediment transported to the study area by nearby
rivers and other bodies of water. Additionally, this study revealed the approximate
contribution of sediment of each source to the study area.
DOI: 10.25582/data.2023-01.2710991/2297651
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2707150/2297652
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853150
title: Additional file 2 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 2. Malaria incidence in indigenous patients and relative risk compared to non-indigenous population.
DOI: 10.6084/m9.figshare.14853150.v1
title: Additional file 2 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 2. Malaria incidence in indigenous patients and relative risk compared to non-indigenous population.
DOI: 10.6084/m9.figshare.14853153
title: Additional file 3 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 3. Estimated indigenous population and growth rates.
DOI: 10.6084/m9.figshare.14853153.v1
title: Additional file 3 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 3. Estimated indigenous population and growth rates.
DOI: 10.6084/m9.figshare.14853156
title: Additional file 4 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 4. Getis-Ord’s Gi* Analysis for clustering of malaria cases (2014–2018).
DOI: 10.6084/m9.figshare.14853156.v1
title: Additional file 4 of The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data

description: Additional file 4. Getis-Ord’s Gi* Analysis for clustering of malaria cases (2014–2018).
DOI: 10.25582/data.2023-01.2708312/2297653
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709883/2297654
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24290395.v1
title: Surporting datasheet.xlsx

description: Datasheet of the online measurement results.
DOI: 10.25582/data.2023-01.2709949/2297655
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710536/2297656
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2707627/2297657
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.8037491
title: Comparing and Weighting Imperfect Models Using D-Probabilities

description: We propose a new approach for assigning weights to models using a divergence-based method (<i>D-probabilities</i>), relying on evaluating parametric models relative to a nonparametric Bayesian reference using Kullback–Leibler divergence. D-probabilities are useful in goodness-of-fit assessments, in comparing imperfect models, and in providing model weights to be used in model aggregation. D-probabilities avoid some of the disadvantages of Bayesian model probabilities, such as large sensitivity to prior choice, and tend to place higher weight on a greater diversity of models. In an application to linear model selection against a Gaussian process reference, we provide simple analytic forms for routine implementation and show that D-probabilities automatically penalize model complexity. Some asymptotic properties are described, and we provide interesting probabilistic interpretations of the proposed model weights. The framework is illustrated through simulation examples and an ozone data application. Supplementary materials for this aricle are available online.
DOI: 10.25582/data.2023-01.2705522/2297658
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.8037491.v1
title: Comparing and weighting imperfect models using D-probabilities

description: We propose a new approach for assigning weights to models using a divergence-based method (<i>D-probabilities</i>), relying on evaluating parametric models relative to a nonparametric Bayesian reference using Kullback-Leibler divergence. D-probabilities are useful in goodness-of-fit assessments, in comparing imperfect models, and in providing model weights to be used in model aggregation. D-probabilities avoid some of the disadvantages of Bayesian model probabilities, such as large sensitivity to prior choice, and tend to place higher weight on a greater diversity of models. In an application to linear model selection against a Gaussian process reference, we provide simple analytic forms for routine implementation and show that D-probabilities automatically penalize model complexity. Some asymptotic properties are described, and we provide interesting probabilistic interpretations of the proposed model weights. The framework is illustrated through simulation examples and an ozone data application.
DOI: 10.25582/data.2023-01.2710422/2297659
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.8037491.v3
title: Comparing and Weighting Imperfect Models Using D-Probabilities

description: We propose a new approach for assigning weights to models using a divergence-based method (<i>D-probabilities</i>), relying on evaluating parametric models relative to a nonparametric Bayesian reference using Kullback–Leibler divergence. D-probabilities are useful in goodness-of-fit assessments, in comparing imperfect models, and in providing model weights to be used in model aggregation. D-probabilities avoid some of the disadvantages of Bayesian model probabilities, such as large sensitivity to prior choice, and tend to place higher weight on a greater diversity of models. In an application to linear model selection against a Gaussian process reference, we provide simple analytic forms for routine implementation and show that D-probabilities automatically penalize model complexity. Some asymptotic properties are described, and we provide interesting probabilistic interpretations of the proposed model weights. The framework is illustrated through simulation examples and an ozone data application. Supplementary materials for this aricle are available online.
DOI: 10.6084/m9.figshare.8037491.v2
title: Comparing and Weighting Imperfect Models Using D-Probabilities

description: We propose a new approach for assigning weights to models using a divergence-based method (<i>D-probabilities</i>), relying on evaluating parametric models relative to a nonparametric Bayesian reference using Kullback–Leibler divergence. D-probabilities are useful in goodness-of-fit assessments, in comparing imperfect models, and in providing model weights to be used in model aggregation. D-probabilities avoid some of the disadvantages of Bayesian model probabilities, such as large sensitivity to prior choice, and tend to place higher weight on a greater diversity of models. In an application to linear model selection against a Gaussian process reference, we provide simple analytic forms for routine implementation and show that D-probabilities automatically penalize model complexity. Some asymptotic properties are described, and we provide interesting probabilistic interpretations of the proposed model weights. The framework is illustrated through simulation examples and an ozone data application. Supplementary materials for this aricle are available online.
DOI: 10.25582/data.2023-01.2708757/2297660
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2707168/2297661
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709707/2297662
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2706939/2297663
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2706530/2297664
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853275
title: Additional file 2 of A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data

description: Additional file 2 The details for differentially expressed transcripts for same species data. The biological functions of the uniquely detected significant genes between SFMEB and the other five methods.
DOI: 10.6084/m9.figshare.14853275.v1
title: Additional file 2 of A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data

description: Additional file 2 The details for differentially expressed transcripts for same species data. The biological functions of the uniquely detected significant genes between SFMEB and the other five methods.
DOI: 10.6084/m9.figshare.14853278
title: Additional file 3 of A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data

description: Additional file 3 The details for differentially expressed transcripts for different species data. The biological functions of the uniquely detected significant genes between SFMEB and the other two methods.
DOI: 10.25582/data.2023-01.2707739/2297665
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853278.v1
title: Additional file 3 of A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data

description: Additional file 3 The details for differentially expressed transcripts for different species data. The biological functions of the uniquely detected significant genes between SFMEB and the other two methods.
DOI: 10.25582/data.2023-01.2705444/2297666
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853240
title: Additional file 1 of Novel missense mutation of SASH1 in a Chinese family with dyschromatosis universalis hereditaria

description: Additional file 1. The primer of SASH1 gene.
DOI: 10.25582/data.2023-01.2710861/2297667
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853240.v1
title: Additional file 1 of Novel missense mutation of SASH1 in a Chinese family with dyschromatosis universalis hereditaria

description: Additional file 1. The primer of SASH1 gene.
DOI: 10.25582/data.2023-01.2705795/2297668
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709861/2297669
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716650/2297670
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709752/2297671
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2708840/2297672
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2708944/2297673
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14853281
title: Additional file 1 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 1: Figure S2. Detection of self-activation of the bait protein. TheAH109 yeast cells that were cotransformed with pGADT7 and pGBKT7-ORF1, pGADT7-LargeT and pGBKT7-p53 (as a positive control), pGADT7-LargeT and pGBKT7-laminC (as a negative control), were plated on SD-TL (2a) and SD-TLHA medium (2b) fortheauto activation test.Yeast co-transfected with plasmids pGADT7 and pGBKT7-ORF1 cannot grow on SD-TLHA medium and did not turn blue intheβ-galactosidase assay, indicating that pGBKT7-ORF1 does not autonomously activatethereporter genes in yeast cells without a preyprotein (2c).
DOI: 10.6084/m9.figshare.14853284
title: Additional file 2 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 2: Figure S4. Retransformation validation of representative five host genes interacting with P1 Cap gene products in yeast two-hybrid system. Thefive clones (1, 3, 10, 16, and 18 (repeat)) were inoculated into SD-TL (4a)and SD-TLHA medium plates (4b) and analyzed for lacZ expression. Thefive clones that grew on SD-TLHA medium and turned blue intheyeast were positive (4c).
DOI: 10.6084/m9.figshare.14853287
title: Additional file 3 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 3: Figure S5 Co-immunoprecipitation of Cap interacted with RalGDS. HEK 293 Graham cells were co-transfected with pcDNA3.1-RalGDS-FLAG and pcDNA3.1-His (5a); pcDNA3.1-RalGDS-FLAG and pcDNA3.1-ORF1-His (5b); pcDNA3.1-FLAG and pcDNA3.1-ORF1-His (5c); and pcDNA3.1-RalGDS-FLAG and pcDNA3.1-ORF1-His (5d).
DOI: 10.6084/m9.figshare.14853281.v1
title: Additional file 1 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 1: Figure S2. Detection of self-activation of the bait protein. TheAH109 yeast cells that were cotransformed with pGADT7 and pGBKT7-ORF1, pGADT7-LargeT and pGBKT7-p53 (as a positive control), pGADT7-LargeT and pGBKT7-laminC (as a negative control), were plated on SD-TL (2a) and SD-TLHA medium (2b) fortheauto activation test.Yeast co-transfected with plasmids pGADT7 and pGBKT7-ORF1 cannot grow on SD-TLHA medium and did not turn blue intheβ-galactosidase assay, indicating that pGBKT7-ORF1 does not autonomously activatethereporter genes in yeast cells without a preyprotein (2c).
DOI: 10.6084/m9.figshare.14853284.v1
title: Additional file 2 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 2: Figure S4. Retransformation validation of representative five host genes interacting with P1 Cap gene products in yeast two-hybrid system. Thefive clones (1, 3, 10, 16, and 18 (repeat)) were inoculated into SD-TL (4a)and SD-TLHA medium plates (4b) and analyzed for lacZ expression. Thefive clones that grew on SD-TLHA medium and turned blue intheyeast were positive (4c).
DOI: 10.6084/m9.figshare.14853287.v1
title: Additional file 3 of Interaction of porcine circovirus-like virus P1 capsid protein with host proteins

description: Additional file 3: Figure S5 Co-immunoprecipitation of Cap interacted with RalGDS. HEK 293 Graham cells were co-transfected with pcDNA3.1-RalGDS-FLAG and pcDNA3.1-His (5a); pcDNA3.1-RalGDS-FLAG and pcDNA3.1-ORF1-His (5b); pcDNA3.1-FLAG and pcDNA3.1-ORF1-His (5c); and pcDNA3.1-RalGDS-FLAG and pcDNA3.1-ORF1-His (5d).
DOI: 10.25582/data.2023-01.2710697/2297674
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711472/2297675
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2705755/2297676
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710675/2297677
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24290497
title: City level buliding operational carbon emissions

description: Contains data on carbon emissions from building operations and six types of end-uses in 321 Chinese cities from 2015-2020.
DOI: 10.6084/m9.figshare.14329025
title: Open Synergy Land Cover Series

description: We put forward a cost-effective open and synergy framework for combining
supervised classification with training samples and aggregating existing multisource
land cover datasets. With this framework, novel global land cover maps with a
spatial resolution of 30 m every 5 years from 1990 to 2015 have been developed. The dataset was made into 1 km percentage due to the upload limit.
DOI: 10.6084/m9.figshare.24290497.v1
title: City level buliding operational carbon emissions

description: Contains data on carbon emissions from building operations and six types of end-uses in 321 Chinese cities from 2015-2020.
DOI: 10.25582/data.2023-01.2710326/2297678
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24290500
title: Uncertainty analysis

description: Results of Monte Carlo uncertainty analysis for each year's data.
DOI: 10.6084/m9.figshare.24290500.v1
title: Uncertainty analysis

description: Results of Monte Carlo uncertainty analysis for each year's data.
DOI: 10.25582/data.2023-01.2710358/2297679
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710088/2297680
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711067/2297681
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2706907/2297682
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2733274/2297683
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2707485/2297684
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24290561
title: A single immunization with core–shell structured lipopolyplex mRNA vaccine against rabies induces potent humoral immunity in mice and dogs

description: The persistence and clinical consequences of rabies virus (RABV) infection have prompted global efforts to develop a safe and effective vaccines against rabies. mRNA vaccines represent a promising option against emerging and re-emerging infectious diseases, gaining particular interest since the outbreak of COVID-19. Herein, we report the development of a highly efficacious rabies mRNA vaccine composed of sequence-modified mRNA encoding RABV glycoprotein (RABV-G) packaged in core–shell structured lipopolyplex (LPP) nanoparticles, named LPP-mRNA-G. The bilayer structure of LPP improves protection and delivery of RABV-G mRNA and allows gradual release of mRNA molecules as the polymer degrades. The unique core–shell structured nanoparticle of LPP-mRNA-G facilitates vaccine uptake and demonstrates a desirable biodistribution pattern with low liver targeting upon intramuscular immunization. Single administration of low-dose LPP-mRNA-G in mice elicited potent humoral immune response and provided complete protection against intracerebral challenge with lethal RABV. Similarly, single immunization of low-dose LPP-mRNA-G induced high levels of virus-neutralizing antibody titers in dogs. Collectively, our data demonstrate the potential of LPP-mRNA-G as a promising next-generation rabies vaccine used in human and companion animals.
DOI: 10.25582/data.2023-01.2715444/2297685
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.24290561.v2
title: A single immunization with core–shell structured lipopolyplex mRNA vaccine against rabies induces potent humoral immunity in mice and dogs

description: The persistence and clinical consequences of rabies virus (RABV) infection have prompted global efforts to develop a safe and effective vaccines against rabies. mRNA vaccines represent a promising option against emerging and re-emerging infectious diseases, gaining particular interest since the outbreak of COVID-19. Herein, we report the development of a highly efficacious rabies mRNA vaccine composed of sequence-modified mRNA encoding RABV glycoprotein (RABV-G) packaged in core–shell structured lipopolyplex (LPP) nanoparticles, named LPP-mRNA-G. The bilayer structure of LPP improves protection and delivery of RABV-G mRNA and allows gradual release of mRNA molecules as the polymer degrades. The unique core–shell structured nanoparticle of LPP-mRNA-G facilitates vaccine uptake and demonstrates a desirable biodistribution pattern with low liver targeting upon intramuscular immunization. Single administration of low-dose LPP-mRNA-G in mice elicited potent humoral immune response and provided complete protection against intracerebral challenge with lethal RABV. Similarly, single immunization of low-dose LPP-mRNA-G induced high levels of virus-neutralizing antibody titers in dogs. Collectively, our data demonstrate the potential of LPP-mRNA-G as a promising next-generation rabies vaccine used in human and companion animals.
DOI: 10.25582/data.2023-01.2706111/2297686
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710433/2297687
title: Data for EMSL Project 51287 from January 2023