cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1283390.09fu
title: SH1283390.09FU

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: 10.15156/bio/sh1283391.09fu
title: SH1283391.09FU

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: 10.15156/bio/sh1283392.09fu
title: SH1283392.09FU

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: 10.15156/bio/sh1283393.09fu
title: SH1283393.09FU

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: 10.15156/bio/sh1283394.09fu
title: SH1283394.09FU

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: 10.15156/bio/sh1283395.09fu
title: SH1283395.09FU

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.22673467
title: Supplementary Material for: Cost-effectiveness of pit and fissure sealing at schools for caries prevention in China: A Markov modeling analysis

description: The World Health Organization states that the application of pit and fissure sealants (PFS) is an effective way to prevent dental caries. Estimates of potential health and economic impacts of PFS upon school-age children provide crucial evidence to support the extension of PFS coverage to all target populations. The China Children's Oral Disease Comprehensive Intervention Project was launched in 2009 to provide free oral health examinations, PFS application, and oral health education for children aged seven to nine years. However, the national-level health and economic impacts of the program are unclear. To provide higher-quality evidence at the national level in China, we developed a multi-perspective, multi-state Markov model to estimate the cost and effect of PFS application to prevent dental caries. The total cost of the PFS project was 2.087 billion CNY, which can prevent 16.06 million PFMs from caries lesions. Compared with no intervention, PFS application was cost-effective from payer and society perspectives (BCR=1.22 from the payer’s perspective, BCR=1.91 from the societal perspective). The incremental cost-effectiveness ratio (ICER) from both perspectives was negative (-61.46 CNY from the payer's perspective, and -125.75 CNY from the societal perspective), indicating that PFS was cost-effective and cost-saving. Expanding the coverage of PFS application in school can be a more cost-effective strategy for caries prevention in China.
DOI: 10.6084/m9.figshare.22673467.v1
title: Supplementary Material for: Cost-effectiveness of pit and fissure sealing at schools for caries prevention in China: A Markov modeling analysis

description: The World Health Organization states that the application of pit and fissure sealants (PFS) is an effective way to prevent dental caries. Estimates of potential health and economic impacts of PFS upon school-age children provide crucial evidence to support the extension of PFS coverage to all target populations. The China Children's Oral Disease Comprehensive Intervention Project was launched in 2009 to provide free oral health examinations, PFS application, and oral health education for children aged seven to nine years. However, the national-level health and economic impacts of the program are unclear. To provide higher-quality evidence at the national level in China, we developed a multi-perspective, multi-state Markov model to estimate the cost and effect of PFS application to prevent dental caries. The total cost of the PFS project was 2.087 billion CNY, which can prevent 16.06 million PFMs from caries lesions. Compared with no intervention, PFS application was cost-effective from payer and society perspectives (BCR=1.22 from the payer’s perspective, BCR=1.91 from the societal perspective). The incremental cost-effectiveness ratio (ICER) from both perspectives was negative (-61.46 CNY from the payer's perspective, and -125.75 CNY from the societal perspective), indicating that PFS was cost-effective and cost-saving. Expanding the coverage of PFS application in school can be a more cost-effective strategy for caries prevention in China.
DOI: 10.26179/e0yy-qt88
title: Central Kerguelen Plateau Rock Sample Database - compiled from data, 1929-2016
DOI: 10.25345/c5g15tn11
title: MassIVE MSV000092097 - Top-down proteomics of mouse beta cell carboxypeptidase E deletion reveals novel substrates and defects in hormone processing
title: 100 islets from wildtype and islet beta-cell Ins1Cre/+ ; Cpefl/fl mice were pooled and processed for top-down proteomic analysis. Briefly, homogenization buffer (8 M urea, 100 mM ammonium bicarbonate [ABC], 5 mM ethylenediaminetetraacetic acid [EDTA], 1 mM phenylmethylsulfonyl fluoride [PMSF]) was added to each sample before vortexing for 10 sec to resuspend islets followed by sonication in a water bath for 5 min at room temperature (rt). Reduction was accomplished through addition of 14 uL of 0.5 M tris(2-carboxyethyl)phosphine (TCEP) with incubation at rt for 2 h within a ThermoMixer (ThermoFisher) set at 1,200 RPM. This was followed by alkylation using 20 uL of 0.5 M iodoacetamide (IAA) and incubation for 30 min at rt in complete darkness at 1,200 RPM. The reaction was quenched through addition of 50 uL of dithiothreitol (DTT) before clarification of samples with 15 min centrifugation at 18,000 RCF at 10 deg C. The resulting supernatant was added to a 3 K MWCO Amicon Ultra 0.5 mL centrifugal filter (MilliporeSigma) and centrifuged at 14,000 RCF for 60 min at 10 deg C. Samples were analyzed using a Waters NanoACQUITY UPLC system with mobile phases consisting of 0.2% FA in H2O (Mobile Phase A) and 0.2% FA in ACN (Mobile Phase B). Both trapping-precolumn (150 um i.d., 5-cm length) and analytical column (100 um i.d., 50-cm length) were slurry-packed with C2 packing material (5 um and 3 um for trap/analytical respectively, 300 Angstrom, Separation Methods Technology). Samples were loaded into a 10 uL loop, corresponding to 400 ng of loaded material, and injected into the trapping column with an isocratic flow of 1% B at 5 uL/min over 15 min for desalting. Separation was performed with a 1% to 50% B gradient over 140 min at 300 nL/min. For MS/MS analysis of proteins, the NanoACQUITY system was coupled to a Thermo Scientific Orbitrap Fusion Lumos Tribrid mass spectrometer equipped with the FAIMS Pro interface.
DOI: 10.6084/m9.figshare.21103796
title: Characterizing Nonlinear Effects in Vertical Site Response of Dry Soils Using KiK-Net Data

description: Forward engineering applications often use modulus reduction and damping ratio curves (MRD) to represent the non-linear response of the soil as a strain dependent equivalent-linear response. While a multitude of such models are available for the shear-modulus, G, only a handful of studies have attempted to constrain MRD models for the compressional-related constrained modulus, M. In this study, nonlinearity associated with the constrained modulus was studied using an extensive analysis of records from 27 KiK-net seismic stations. To represent the response of dry soil, stations with at least 10 m ground water depth (GWD) were analysed. Using frequency shifts, the modulus degradation of the horizontal (H), the vertical (V) and the vertical P-wave window (P<sub>V</sub>) components were characterized. Degradation models for the constrained modulus, for a coupled and uncoupled analysis with the shear component are suggested. We find that for PGA&gt;0.1 g, the H component has 91% probability of developing non-linear response, while for the V and P<sub>V</sub> components it is only 55% and 43%, respectively. We further find that within those records in which nonlinearity was observed, the PGA threshold for H, V, and P<sub>V</sub>, is 0.1 g, 0.08 g, and 0.03 g, respectively. Finally, the differences we observe between the full vertical component and the extracted P-wave window suggest that the V component includes a combination of P and SV waves, implying that vertical site-response analysis should include both shear and compression-related soil properties.
DOI: 10.6084/m9.figshare.21103796.v1
title: Characterizing Nonlinear Effects in Vertical Site Response of Dry Soils Using KiK-Net Data

description: Forward engineering applications often use modulus reduction and damping ratio curves (MRD) to represent the non-linear response of the soil as a strain dependent equivalent-linear response. While a multitude of such models are available for the shear-modulus, G, only a handful of studies have attempted to constrain MRD models for the compressional-related constrained modulus, M. In this study, nonlinearity associated with the constrained modulus was studied using an extensive analysis of records from 27 KiK-net seismic stations. To represent the response of dry soil, stations with at least 10 m ground water depth (GWD) were analysed. Using frequency shifts, the modulus degradation of the horizontal (H), the vertical (V) and the vertical P-wave window (P<sub>V</sub>) components were characterized. Degradation models for the constrained modulus, for a coupled and uncoupled analysis with the shear component are suggested. We find that for PGA&gt;0.1 g, the H component has 91% probability of developing non-linear response, while for the V and P<sub>V</sub> components it is only 55% and 43%, respectively. We further find that within those records in which nonlinearity was observed, the PGA threshold for H, V, and P<sub>V</sub>, is 0.1 g, 0.08 g, and 0.03 g, respectively. Finally, the differences we observe between the full vertical component and the extracted P-wave window suggest that the V component includes a combination of P and SV waves, implying that vertical site-response analysis should include both shear and compression-related soil properties.
DOI: 10.6084/m9.figshare.23294306.v1
title: LASSO–penalized clusterwise linear regression modelling: a two–step approach

description: In clusterwise regression analysis, the goal is to predict a response variable based on a set of explanatory variables, each with cluster-specific effects. In many real–life problems, the number of candidate predictors is typically large, with perhaps only a few of them meaningfully contributing to the prediction. A well–known method to perform variable selection is the LASSO, with calibration done by minimizing the Bayesian Information Criterion (BIC). However, existing LASSO-penalized estimators are problematic for several reasons. First, only certain types of penalties are considered. Second, the computations may sometimes involve approximate schemes. Third, variable selection is usually time consuming, due to a complex calibration of the penalty term, possibly requiring several multiple evaluations of an estimator for each plausible value of the tuning parameter(s). We introduce a two–step approach to fill these gaps. In step 1, we fit LASSO clusterwise linear regressions with some pre–specified level of penalization (<i>Fit</i> step). In step 2 (<i>Selection</i> step), we perform covariate selection locally, i.e. on the weighted data, with weights corresponding to the posterior probabilities from the previous step. This is done by using a generalization of the Least Angle Regression (LARS) algorithm, which permits covariate selection with a single evaluation of the estimator. In addition, both <i>Fit</i> and <i>Selection</i> steps leverage on an Expectation Maximization (EM) algorithm, fully in closed forms, designed with a very general version of the LASSO penalty. The advantages of our proposal, in terms of computation time reduction, and accuracy of model estimation and selection, are shown by means of a simulation study, and illustrated with a real data application.
DOI: 10.6084/m9.figshare.23294306
title: LASSO–penalized clusterwise linear regression modelling: a two–step approach

description: In clusterwise regression analysis, the goal is to predict a response variable based on a set of explanatory variables, each with cluster-specific effects. In many real–life problems, the number of candidate predictors is typically large, with perhaps only a few of them meaningfully contributing to the prediction. A well–known method to perform variable selection is the LASSO, with calibration done by minimizing the Bayesian Information Criterion (BIC). However, existing LASSO-penalized estimators are problematic for several reasons. First, only certain types of penalties are considered. Second, the computations may sometimes involve approximate schemes. Third, variable selection is usually time consuming, due to a complex calibration of the penalty term, possibly requiring several multiple evaluations of an estimator for each plausible value of the tuning parameter(s). We introduce a two–step approach to fill these gaps. In step 1, we fit LASSO clusterwise linear regressions with some pre–specified level of penalization (<i>Fit</i> step). In step 2 (<i>Selection</i> step), we perform covariate selection locally, i.e. on the weighted data, with weights corresponding to the posterior probabilities from the previous step. This is done by using a generalization of the Least Angle Regression (LARS) algorithm, which permits covariate selection with a single evaluation of the estimator. In addition, both <i>Fit</i> and <i>Selection</i> steps leverage on an Expectation Maximization (EM) algorithm, fully in closed forms, designed with a very general version of the LASSO penalty. The advantages of our proposal, in terms of computation time reduction, and accuracy of model estimation and selection, are shown by means of a simulation study, and illustrated with a real data application.
DOI: 10.26179/q950-g360
title: Legacy Geological Samples List Heard Island, 1929-2016
DOI: 10.6084/m9.figshare.23259164.v2
title: Genome assembly and annotation of the <em>Adenosma buchneroides</em>

description: Genome assembly and annotation of the <em>Adenosma buchneroides</em>, and the raw sequencing dataset used in the study. The raw dataset include PacBio SMRT sequencing data, Illumina Hiseq data, HiC data, and Illumina RNA-seq data.
DOI: 10.25549/impa-c123-85267
title: Paulo Lombardo and Dr. Gunnar Kvissberg during a breakfast break, Ethiopia, 1952

description: "Fahrer Lombardo, es hat geschmeckt, links der Tisch" ("Driver Lombardo, the food was good, to the left the table"). Photograph of Paulo Lombardo smoking and Dr. Gunnar Kvissberg (left) during a breakfast break near a river crossing. Behind Kivissberg another man is standing.; Photograph taken during Dietrich Waßmann's journey from Ayra to Adis Abeba.
DOI: 10.25549/impa-c123-85268
title: Paulo Lombardo with gun and guinea fowls, Ethiopia, 1952

description: "Am Abhang ein Maisfeld, das durch den Graben rechts bewässert wird." ("At the hillside a corn field that is irrigated by the ditch to the right.") Photograph of Paulo Lombardo standing in a corn field. He has a gun over the shoulder and holds guinea fowls in the right hand.; Photograph taken during Dietrich Waßmann's journey from Ayra to Adis Abeba.
DOI: 10.25549/impa-c123-85291
title: Children pounding corn, Ayra, Ethiopia, [ s.d. ]

description: "Kinder beim Stampfen" ("Children pounding"). Photograph of two small children pounding corn in front of a house. They wear shirts and their heads are partly shaven. In the background a fence and the wall of a house are visible. A pestle and an axe are leaning to the wall.; Separate note reading: "Sohn und Tochter von Gudetta müssen für die Mutter Mais stampfen. Rechts ein Beil, wie sie in Aira angefertigt werden" ("Son and daughter of Guddataa have to pound corn for the mother. To the right an axe, the way they are made in Ayra").; Cf. pictures nos. ELM/AE/Fotos - 965, 966.
DOI: 10.25549/impa-c123-85231
title: Kebede mounts the mule, Ayra, Ethiopia, ca.1951-1952

description: "Kebede besteigt das Maultier" ("Kebede mounts the mule"). Photograph of Grazmach Kebede mounting a mule at the mission station Ayra. Next to him two men with guns, a woman and another man are visible.; Separate note reading: "Ein Schnappschuss. […] Die Eingeborenen steigen von der rechten Seite auf" ("A snapshot. […] The natives mount from the right side").
DOI: 10.25549/pcra-c14-16216
title: Da zdravstvuet piataia godovshchina velikoi proletarskoi revoliutsii!
title: Да здравствует пятая годовщина великой пролетарской революции!

description: A poster dedicated to the 5th anniversary of the Great October Revolution (Bolsheviks' revolution) in Russia in 1917. Caption reads, "Da zdravstvuet piataia godovshchina velikoi proletarskoi revoliutsii! Chetvertyi kongress kommunisticheskogo internatsionala / Да здравствует пятая годовщина великой пролетарской революции! Четвёртый конгресс коммунистического интернационала", meaning, "Long live the fifth anniversary of the great proletarian revolution! The fourth congress of the Communist International".
DOI: 10.25549/pcra-c14-16178
title: Mertvetsy parizhskoi kommuny voskresli pod znamenem sovetov!
title: Мертвецы парижской коммуны воскресли над красным знаменем советов!

description: A poster published in 1921. Caption reads, "Mertvetsy parizhskoi kommuny voskresli pod znamenem sovetov! / Мертвецы парижской коммуны воскресли над красным знаменем советов!", meaning, "The Paris Commune's dead ones have resurrected under the red soviet banner!".
DOI: 10.25549/pcra-c14-16247
title: Chem konchitsia panskaia zateia
title: Чем кончится панская затея

description: A poster from the Russo-Polish War (1919-1920). Caption reads, "Chem konchitsia panskaia zateia / Чем кончится панская затея", meaning, "That's how the Polish nobility's plot will end".
DOI: 10.25549/pcra-c14-16276
title: Ovladevaia tekhnikoi, bud' v pervykh riadakh stroitelei sotsializma
title: Овладевая техникой, будь в первых рядах строителей социализма

description: A poster dedicated to the soviet working-class women. Caption reads, "Ovladevaia tekhnikoi, bud' v pervykh riadakh stroitelei sotsializma / Овладевая техникой, будь в первых рядах строителей социализма", meaning, "Be among the first ranks of the socialism builders by mastering your technical skills".