cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1133283.10fu
title: SH1133283.10FU

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/sh1133284.10fu
title: SH1133284.10FU

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/sh1133287.10fu
title: SH1133287.10FU

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/sh1133290.10fu
title: SH1133290.10FU

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/sh1133293.10fu
title: SH1133293.10FU

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/sh1133294.10fu
title: SH1133294.10FU

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/sh1133296.10fu
title: SH1133296.10FU

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/sh1133299.10fu
title: SH1133299.10FU

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/sh1133300.10fu
title: SH1133300.10FU

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.gz3deg
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is Marine Observations - Total South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013101-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv6ckk
title: Occurrence Download

description: A dataset containing 16558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cotoneaster franchetii Boiss.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 16558 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013100-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mgy9z
title: Occurrence Download

description: A dataset containing 70606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "HasCoordinate is true",
 "Country is Belgium"
 ]
}

 The dataset includes 70606 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005003-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.2064
title: DFT meets Bayesian inference: creating a framework for the assignment of calculated vibrational frequencies

description: Experimental IR and Raman measurements of studied samples. Computational comparison and analysis is performed on this data in the research.
DOI: 10.15468/dl.2kewf2
title: Occurrence Download

description: A dataset containing 148641 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies Mill."
 ]
}

 The dataset includes 148641 records from 687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019131-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqgqsp
title: Occurrence Download

description: A dataset containing 7554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Australia",
 "TaxonKey is Eucalyptus microcorys F.Muell."
 ]
}

 The dataset includes 7554 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190442-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4qllp
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Schoenoplectiella mucronata (L.) J.Jung & H.K.Choi"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1791 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019133-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap8xcv
title: Occurrence Download

description: A dataset containing 4925 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 4925 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183812-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc9ceo
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armeria colorata Pau"
 ]
}

 The dataset includes 88 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019133-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8gakz
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Metzia lineata (Pellegrin, 1907))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048831-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkdp6b
title: Occurrence Download

description: A dataset containing 774570 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fagus sylvatica L."
 ]
}

 The dataset includes 774570 records from 925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193008-200613084148143/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.c.3641885_d12.v1
title: Additional file 8: of Achieving high-sensitivity for clinical applications using augmented exome sequencing

description: daSNVs in ACMG genes where inadequate coverage was observed among at least one platform, using WES/ACE data normalized to both 12 Gb and 100Ă  mean coverage. (XLSX 312Â kb)
DOI: 10.6084/m9.figshare.c.3641768_d1.v1
title: Additional file 2: of Informative gene selection and the direct classification of tumors based on relative simplicity

description: Source code of RS-based DC. (RAR 768 kb)
DOI: 10.6084/m9.figshare.c.3641741_d7.v1
title: Additional file 3: of A transcriptomic analysis of bermudagrass (Cynodon dactylon) provides novel insights into the basis of low temperature tolerance

description: Gene Ontology (GO) classification of the DEGs identified in different comparison between a pair of libraries. (rar 4.10 MB)
DOI: 10.6084/m9.figshare.c.3641741_d8.v1
title: Additional file 4: of A transcriptomic analysis of bermudagrass (Cynodon dactylon) provides novel insights into the basis of low temperature tolerance

description: The details of the KEGG classification of the different comparisons. (rar 62.4 KB)
DOI: 10.6084/m9.figshare.c.3641741_d6.v1
title: Additional file 2: of A transcriptomic analysis of bermudagrass (Cynodon dactylon) provides novel insights into the basis of low temperature tolerance

description: List of DEGs could be assigned as a GO term in different comparisons. (rar 1.92 MB)
DOI: 10.6084/m9.figshare.c.3641741_d5.v1
title: Additional file 5: of A transcriptomic analysis of bermudagrass (Cynodon dactylon) provides novel insights into the basis of low temperature tolerance

description: The details of DTGs involved in Ca 2+ signalling pathway. (xls 100 KB)
DOI: 10.6084/m9.figshare.c.3641741_d2.v1
title: Additional file 7: of A transcriptomic analysis of bermudagrass (Cynodon dactylon) provides novel insights into the basis of low temperature tolerance

description: The enriched pathways by DEGs and rich factor in comparisons. (xls 15.0 KB)
DOI: 10.6084/m9.figshare.c.3641738_d3.v1
title: Additional file 3: of Differential expression analysis of human endogenous retroviruses based on ENCODE RNA-seq data

description: Read counts of housekeeping genes. Tabular file containing the featureCount counts for all genes classified as housekeeping by Eisenberg and Levanon [39]. (CSV 1000 kb)
DOI: 10.6084/m9.figshare.c.3641738_d1.v1
title: Additional file 2: of Differential expression analysis of human endogenous retroviruses based on ENCODE RNA-seq data

description: HERVd annotation of HERV loci in hg19. Tabular file contains columns for unique identifier, chromosome, start and stop position, strand and HERV family, respectively. The remaining columns represent the read counts from featureCount for all of the analyzed ENCODE samples. (CSV 14292 kb)
DOI: 10.6084/m9.figshare.c.3641738_d2.v1
title: Additional file 1: of Differential expression analysis of human endogenous retroviruses based on ENCODE RNA-seq data

description: Read statistics per sample. For all analyzed ENCODE samples the number of fragments/reads which are used as input for featureCount are listed as well as the fraction of reads mapping to HERVd annotated loci. (CSV 1 kb)
DOI: 10.15468/dl.4xkngm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomberesox saira Brevoort, 1856",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036003-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.c.3641645_d4.v1
title: Additional file 1: of CpG site methylation in CRYAA promoter affect transcription factor Sp1 binding in human lens epithelial cells

description: Row data of qRT-PCR for CRYAA after Zebularine treatment, Experiment 1, Part 1. CRYAA mRNA expression were detected using a SYBR Green detection kit. Î˛-actin was used as an internal control. qRT-PCR reactions were performed with a ViiA 7 Real-Time PCR System. All qRT-PCR experiments were performed for three times, with biological triplicates in each experiment. It is the rata data of part 1 of the first experiment. (XLS 2430Â kb)
DOI: 10.6084/m9.figshare.c.3641645_d3.v1
title: Additional file 2: of CpG site methylation in CRYAA promoter affect transcription factor Sp1 binding in human lens epithelial cells

description: Row data of qRT-PCR for CRYAA after Zebularine treatment, Experiment 1, Part 2. It is the rata data of part 2 of the first experiment described above. (XLS 2440Â kb)
DOI: 10.6084/m9.figshare.c.3641645_d1.v1
title: Additional file 4: of CpG site methylation in CRYAA promoter affect transcription factor Sp1 binding in human lens epithelial cells

description: Row data of qRT-PCR for CRYAA after Zebularine treatment, Experiment 3. It is the rata data of the third experiment described above. (XLS 2630Â kb)
DOI: 10.6084/m9.figshare.c.3641645_d2.v1
title: Additional file 3: of CpG site methylation in CRYAA promoter affect transcription factor Sp1 binding in human lens epithelial cells

description: Row data of qRT-PCR for CRYAA after Zebularine treatment, Experiment 2. It is the rata data of the second experiment described above. (XLS 2431Â kb)
DOI: 10.6084/m9.figshare.c.3641633_d7.v1
title: Additional file 4: of MicroRNA-mRNA regulatory networking fine-tunes the porcine muscle fiber type, muscular mitochondrial respiratory and metabolic enzyme activities

description: Different expressed miRNA-mRNA pairs between Duroc and PiNN after target prediction. (XLSX 130Â kb)
DOI: 10.6084/m9.figshare.c.3641633_d6.v1
title: Additional file 5: of MicroRNA-mRNA regulatory networking fine-tunes the porcine muscle fiber type, muscular mitochondrial respiratory and metabolic enzyme activities

description: Individual miRNAs and their correlated phenotypes for Duroc and PiNN. (XLSX 20Â kb)
DOI: 10.6084/m9.figshare.c.3641276_d1.v1
title: Additional file 5 of Identification of miRNA-mRNA regulatory modules by exploring collective group relationships

description: Predicted miRNA-mRNA interactions identified by DICORE in the NCI60, BR and MCC datasets. (XLSX 14.0 kb)
DOI: 10.6084/m9.figshare.c.3641234_d2.v1
title: Additional file 3 of Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

description: The Incremental Feature Selection (IFS) result. By adding features one by one from higher to lower rank, 654 different feature subsets are obtained. The ensemble predictor is then accordingly built for each feature subset and evaluated by 10-fold cross validation. (XLS 125 kb)
DOI: 10.6084/m9.figshare.c.3641234_d3.v1
title: Additional file 2 of Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

description: The ranked feature list given by the Relief algorithm. Within the list, a feature with a smaller index indicates that it is more important for aptamer-protein interacting pair prediction. Such a list of ranked features are used to establish the optimal feature set in the IFS procedure. (XLS 56.5 kb)
DOI: 10.15468/dl.axb7vm
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vigna keraudrenii Du Puy & Labat"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036004-241126133413365/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.c.3641234_d1.v1
title: Additional file 1 of Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

description: The benchmark dataset. The training dataset contains 580 positive and 1740 negative samples while the independent testing dataset consists of 145 positive and 435 negative samples. (XLS 441 kb)