cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0987953.10fu
title: SH0987953.10FU

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/sh0987954.10fu
title: SH0987954.10FU

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: 10.15468/dl.98qmx2
title: Occurrence Download

description: A dataset containing 2882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Urena lobata L."
 ]
}

 The dataset includes 2882 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109731-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.7222508
title: Additional file 7: of A combined small RNA and transcriptome sequencing analysis reveal regulatory roles of miRNAs during anther development of Upland cotton carrying cytoplasmic male sterile Gossypium harknessii (D2) cytoplasm

description: Table S7. Information of differentially expressed miRNA-target pairs in A-B and A-R compare group. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.20329707.v1
title: Additional file 9 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 9: Supplementary Table 9. FPKM values from RNAseq results of 9 AML samples.
DOI: 10.6084/m9.figshare.20329689.v1
title: Additional file 4 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 4: Supplementary Table 4. Super-enhancers identified in each of the 11 AML samples.
DOI: 10.6084/m9.figshare.20329465
title: Additional file 5 of Genome-wide identification of resistance genes and transcriptome regulation in yeast to accommodate ammonium toxicity

description: Additional file 5: Table S3. Transcriptome sequencing data under 800 mM vs. 0 mM NH4Cl treatment.
DOI: 10.6084/m9.figshare.20329701.v1
title: Additional file 7 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 7: Supplementary Table 7. 200 hundred genes which harbor super-enhancers in ≧ 10 AML samples.
DOI: 10.6084/m9.figshare.20329465.v1
title: Additional file 5 of Genome-wide identification of resistance genes and transcriptome regulation in yeast to accommodate ammonium toxicity

description: Additional file 5: Table S3. Transcriptome sequencing data under 800 mM vs. 0 mM NH4Cl treatment.
DOI: 10.6084/m9.figshare.20329707
title: Additional file 9 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 9: Supplementary Table 9. FPKM values from RNAseq results of 9 AML samples.
DOI: 10.6084/m9.figshare.25048554
title: Operator-Induced Structural Variable Selection for Identifying Materials Genes

description: In the emerging field of materials informatics, a fundamental task is to identify physicochemically meaningful descriptors, or materials genes, which are engineered from primary features and a set of elementary algebraic operators through compositions. Standard practice directly analyzes the high-dimensional candidate predictor space in a linear model; statistical analyses are then substantially hampered by the daunting challenge posed by the astronomically large number of correlated predictors with limited sample size. We formulate this problem as variable selection with operator-induced structure (OIS) and propose a new method to achieve unconventional dimension reduction by using the geometry embedded in OIS. Although the model remains linear, we iterate nonparametric variable selection for effective dimension reduction. This enables variable selection based on ab initio primary features, leading to a method that is orders of magnitude faster than existing methods, with improved accuracy. To select the nonparametric module, we discuss a desired performance criterion that is uniquely induced by variable selection with OIS; in particular, we propose to employ a Bayesian Additive Regression Trees (BART)-based variable selection method. Numerical studies show superiority of the proposed method, which continues to exhibit robust performance when the input dimension is out of reach of existing methods. Our analysis of single-atom catalysis identifies physical descriptors that explain the binding energy of metal-support pairs with high explanatory power, leading to interpretable insights to guide the prevention of a notorious problem called sintering and aid catalysis design. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7222499.v1
title: Additional file 6: of A combined small RNA and transcriptome sequencing analysis reveal regulatory roles of miRNAs during anther development of Upland cotton carrying cytoplasmic male sterile Gossypium harknessii (D2) cytoplasm

description: Table S6. GO and KEGG analysis of predicted target genes for DEMs in A-B and A-R compare group. (XLSX 403Â kb)
DOI: 10.6084/m9.figshare.7222517.v1
title: Additional file 8: of A combined small RNA and transcriptome sequencing analysis reveal regulatory roles of miRNAs during anther development of Upland cotton carrying cytoplasmic male sterile Gossypium harknessii (D2) cytoplasm

description: Table S8. Primers for quantitative RT-PCR and RLM-5â RACE and sequence variation analysis. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.20329692
title: Additional file 5 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 5: Supplementary Table 5. Super-enhancers identified in each of the 7 T-ALL samples.
DOI: 10.6084/m9.figshare.20329695
title: Additional file 6 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 6: Supplementary Table 6. Super-enhancers identified in each of the 8 B-ALL samples.
DOI: 10.6084/m9.figshare.25048554.v2
title: Operator-Induced Structural Variable Selection for Identifying Materials Genes

description: In the emerging field of materials informatics, a fundamental task is to identify physicochemically meaningful descriptors, or materials genes, which are engineered from primary features and a set of elementary algebraic operators through compositions. Standard practice directly analyzes the high-dimensional candidate predictor space in a linear model; statistical analyses are then substantially hampered by the daunting challenge posed by the astronomically large number of correlated predictors with limited sample size. We formulate this problem as variable selection with operator-induced structure (OIS) and propose a new method to achieve unconventional dimension reduction by using the geometry embedded in OIS. Although the model remains linear, we iterate nonparametric variable selection for effective dimension reduction. This enables variable selection based on ab initio primary features, leading to a method that is orders of magnitude faster than existing methods, with improved accuracy. To select the nonparametric module, we discuss a desired performance criterion that is uniquely induced by variable selection with OIS; in particular, we propose to employ a Bayesian Additive Regression Trees (BART)-based variable selection method. Numerical studies show superiority of the proposed method, which continues to exhibit robust performance when the input dimension is out of reach of existing methods. Our analysis of single-atom catalysis identifies physical descriptors that explain the binding energy of metal-support pairs with high explanatory power, leading to interpretable insights to guide the prevention of a notorious problem called sintering and aid catalysis design. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20329692.v1
title: Additional file 5 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 5: Supplementary Table 5. Super-enhancers identified in each of the 7 T-ALL samples.
DOI: 10.6084/m9.figshare.20329695.v1
title: Additional file 6 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 6: Supplementary Table 6. Super-enhancers identified in each of the 8 B-ALL samples.
DOI: 10.6084/m9.figshare.20329701
title: Additional file 7 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 7: Supplementary Table 7. 200 hundred genes which harbor super-enhancers in ≧ 10 AML samples.
DOI: 10.6084/m9.figshare.22121414.v1
title: National GHG inventory capacity in developing countries – a global assessment of progress

description: Although developing countries have compiled greenhouse gas inventories (GHGI) for over 20 years, improving national GHGI capacity remains a priority under the Paris Agreement. However, a global assessment of GHGI capacity status and change over time has not yet been conducted. By developing a quantifiable GHGI capacity and quality indices based on a synthesis review of 369 submitted GHGIs, our assessment shows that while roughly half of 133 developing countries have improved their GHGI capacity and quality from 1997 to 2019, the remaining countries have not. This is especially evident regarding the GHGI quality principles of promptness, accuracy, and consistency. Future capacity-building approaches should make it clear how GHGIs can support countries pursuing their domestic climate goals, including climate resiliency and low greenhouse gas (GHG) emissions development pathways, while exploring the use of other information sources to replace GHGIs where they are missing. Global assessments of capacity building can largely be improved with increased data availability, which can be addressed collectively under the Paris Agreement. Globally, from 1997 to 2019, half of developing countries have advanced GHGI capacity, while the other half have not improved their GHGI capacity.The quality of GHGIs of countries with higher capacity is better in terms of promptness, accuracy, and consistency.Future capacity-building approaches should make it clear how GHGIs can support countries pursuing their domestic climate goals, including climate resiliency and low GHG emissions development pathways.Global assessments of capacity building can largely be improved with improved data availability. Globally, from 1997 to 2019, half of developing countries have advanced GHGI capacity, while the other half have not improved their GHGI capacity. The quality of GHGIs of countries with higher capacity is better in terms of promptness, accuracy, and consistency. Future capacity-building approaches should make it clear how GHGIs can support countries pursuing their domestic climate goals, including climate resiliency and low GHG emissions development pathways. Global assessments of capacity building can largely be improved with improved data availability.
DOI: 10.5281/zenodo.10696250
title: Thermal Infrared Dataset in San Segundo Hermitage

description: Thermographic inspection of the San Segundo Ermita, located in Ávila (Spain). Data acquired with the thermographic camera NEC TH9260. 

Acquisition parameters were provided to the camera (ambient parameters) and emissivity was set to 0 in order to measure apparent temperatures.
DOI: 10.5281/zenodo.10696251
title: Thermal Infrared Dataset in San Segundo Hermitage

description: Thermographic inspection of the San Segundo Ermita, located in Ávila (Spain). Data acquired with the thermographic camera NEC TH9260. 

Acquisition parameters were provided to the camera (ambient parameters) and emissivity was set to 0 in order to measure apparent temperatures.
DOI: 10.6084/m9.figshare.20329645
title: Additional file 1 of Codon usage of host-specific P genotypes (VP4) in group A rotavirus

description: Additional file 1: Table S1. Nucleotide compositions and properties of VP4 coding sequences for group A rotavirus P[4], P[8], P[13], P[23], P[1], P[6], P[7] and P[19].
DOI: 10.6084/m9.figshare.7222499
title: Additional file 6: of A combined small RNA and transcriptome sequencing analysis reveal regulatory roles of miRNAs during anther development of Upland cotton carrying cytoplasmic male sterile Gossypium harknessii (D2) cytoplasm

description: Table S6. GO and KEGG analysis of predicted target genes for DEMs in A-B and A-R compare group. (XLSX 403Â kb)
DOI: 10.6084/m9.figshare.20329645.v1
title: Additional file 1 of Codon usage of host-specific P genotypes (VP4) in group A rotavirus

description: Additional file 1: Table S1. Nucleotide compositions and properties of VP4 coding sequences for group A rotavirus P[4], P[8], P[13], P[23], P[1], P[6], P[7] and P[19].
DOI: 10.6084/m9.figshare.20329680.v1
title: Additional file 1 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 1: Supplementary Table 1. Treatment and outcome of 11 pediatric AML patients included in ChIP-seq analysis.
DOI: 10.6084/m9.figshare.7222517
title: Additional file 8: of A combined small RNA and transcriptome sequencing analysis reveal regulatory roles of miRNAs during anther development of Upland cotton carrying cytoplasmic male sterile Gossypium harknessii (D2) cytoplasm

description: Table S8. Primers for quantitative RT-PCR and RLM-5â RACE and sequence variation analysis. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.17708375.v1
title: Supplementary Data S2 from A new stem-varanid lizard (Reptilia, Squamata) from the early Eocene of China

description: Snout-Vent Length (SVL) and Total Length (TL) data of Varanus spp. from the literature used to estimate the length of the Archaeovaranus lii holotype (IVPP V 22770)
DOI: 10.6084/m9.figshare.17708378.v1
title: Supplementary Data S1 from A new stem-varanid lizard (Reptilia, Squamata) from the early Eocene of China

description: Combined data matrix derived from Villa et al. (2018) used for the phylogenetic analyses in this study
DOI: 10.6084/m9.figshare.20329704.v1
title: Additional file 8 of Super-enhancer profiling identifies novel critical and targetable cancer survival gene LYL1 in pediatric acute myeloid leukemia

description: Additional file 8: Supplementary Table 8. Gene ontology enrichment analysis results of the 200 genes which were commonly associated with super-enhancers in ≧10 AML samples.
DOI: 10.6084/m9.figshare.20329608.v1
title: Additional file 6 of Circular RNA circPOLR2A promotes clear cell renal cell carcinoma progression by facilitating the UBE3C-induced ubiquitination of PEBP1 and, thereby, activating the ERK signaling pathway

description: Additional file 6: Supplemental Table 2.
DOI: 10.6084/m9.figshare.17708330.v1
title: Supplementary Table from The evolution of biramous appendages revealed by a carapace-bearing Cambrian arthropod

description: Data matrix used for cladistic analysis. (?) missing data, (-) inapplicable character
DOI: 10.6084/m9.figshare.20329608
title: Additional file 6 of Circular RNA circPOLR2A promotes clear cell renal cell carcinoma progression by facilitating the UBE3C-induced ubiquitination of PEBP1 and, thereby, activating the ERK signaling pathway

description: Additional file 6: Supplemental Table 2.
DOI: 10.57967/hf/1806
title: protein-expression-hub
DOI: 10.6084/m9.figshare.25048623
title: Communication-Efficient Nonparametric Quantile Regression via Random Features

description: This paper introduces a refined algorithm designed for distributed nonparametric quantile regression in a reproducing kernel Hilbert space (RKHS). Unlike existing nonparametric approaches that primarily address homogeneous data, our approach utilizes kernel-based quantile regression to effectively model heterogeneous data. Moreover, we integrate the concepts of random features (RF) and communication-efficient surrogate likelihood (CSL) to ensure accurate estimation and enhance computational efficiency in distributed settings. Specifically, we employ an embedding technique to map the original data into RF spaces, enabling us to construct an extended surrogate loss function. This function can be locally optimized using an iterative alternating direction method of multipliers (ADMM) algorithm, minimizing the need for extensive computation and communication within the distributed system. The paper thoroughly investigates the asymptotic properties of the distributed estimator and provides convergence rates of the excess risk. These properties are established under mild technical conditions and are comparable to state-of-the-art results in the literature. Additionally, we validate the effectiveness of the proposed algorithm through a comprehensive set of synthetic examples and a real data study, effectively highlighting its advantages and practical utility.
DOI: 10.6084/m9.figshare.25048623.v1
title: Communication-Efficient Nonparametric Quantile Regression via Random Features

description: This paper introduces a refined algorithm designed for distributed nonparametric quantile regression in a reproducing kernel Hilbert space (RKHS). Unlike existing nonparametric approaches that primarily address homogeneous data, our approach utilizes kernel-based quantile regression to effectively model heterogeneous data. Moreover, we integrate the concepts of random features (RF) and communication-efficient surrogate likelihood (CSL) to ensure accurate estimation and enhance computational efficiency in distributed settings. Specifically, we employ an embedding technique to map the original data into RF spaces, enabling us to construct an extended surrogate loss function. This function can be locally optimized using an iterative alternating direction method of multipliers (ADMM) algorithm, minimizing the need for extensive computation and communication within the distributed system. The paper thoroughly investigates the asymptotic properties of the distributed estimator and provides convergence rates of the excess risk. These properties are established under mild technical conditions and are comparable to state-of-the-art results in the literature. Additionally, we validate the effectiveness of the proposed algorithm through a comprehensive set of synthetic examples and a real data study, effectively highlighting its advantages and practical utility.
DOI: 10.7910/dvn/q6bkx0
title: Zahnzusatzversicherung

description: Zahnzusatzversicherungen bieten ergänzenden Schutz zu den regulären Leistungen der gesetzlichen Krankenversicherung, indem sie Kosten für Zahnbehandlungen, Zahnersatz und prophylaktische Maßnahmen abdecken, die sonst zu hohen Eigenanteilen führen würden. Es ist wichtig, die Vertragsbedingungen genau zu prüfen, um Leistungsumfang, Wartezeiten und mögliche Ausschlüsse zu verstehen und so eine Versicherung zu wählen, die den individuellen Bedürfnissen und finanziellen Möglichkeiten entspricht.
DOI: 10.6084/m9.figshare.20329614.v1
title: Additional file 8 of Circular RNA circPOLR2A promotes clear cell renal cell carcinoma progression by facilitating the UBE3C-induced ubiquitination of PEBP1 and, thereby, activating the ERK signaling pathway

description: Additional file 8: Supplemental Table 4.