cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0186852.10fu
title: SH0186852.10FU

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/sh0186853.10fu
title: SH0186853.10FU

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/sh0186854.10fu
title: SH0186854.10FU

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.dbasd3
title: Occurrence Download

description: A dataset containing 9806137 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 9806137 records from 4881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231640-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/km4k-0385
title: HRSC2016

description: Extracting ships from complex backgrounds is the bottleneck of ship detection in high-resolution optical satellite images. In this letter, we propose a nearly closed-form ship rotated bounding box space used for ship detection and design a method to generate a small number of highly potential candidates based on this space. We first analyze the possibility of accurately covering all ships by labeling rotated bounding boxes. Moreover, to reduce search space, we construct a nearly closed-form ship rotated bounding box space. Then, by scoring for each latent candidate in the space using a two-cascaded linear model followed by binary linear programming, we select a small number of highly potential candidates. Moreover, we also propose a fast version of our method. Experiments on our data set validate the effectiveness of our method and the efficiency of its fast version, which achieves a close detection rate in near real time.
DOI: 10.6084/m9.figshare.26600323
title: Additional file 12 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 12: Table S8. Computational performance statistics of MetaPro, HUMAnN3, and SAMSA2. This table reports the amount of processing time required for each run of the three pipelines.  MetaPro additionally exports the timing data of each stage independently. HUMAnN3’s pre-processing step is a separate stage using a separate tool called KneadData. SAMSA2 cleans the data in the pipeline, but it is integrated and does not export timing data.
DOI: 10.6084/m9.figshare.26600311.v1
title: Additional file 8 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 8: Table S4.Read annotation statistics for kimchi fermentation datasets from MetaPro, HUMAnN3, HUMAnN2, SAMSA2, compared with the gold standard. This table shows the number of reads in each kimchi sample, annotated to the expected 5 lactic acid bacteria (LAB) from each pipeline: Leuconostic mesenteroides, Lactobacillus sakei, Weissella koreensis, Leuconostoc carnosum, and Leuconostoc gelidum. The expected results were obtained by annotating the kimchi datasets against a database containing only the reference gene sequences for the 5 LAB, using BWA.
DOI: 10.6084/m9.figshare.26600317.v1
title: Additional file 10 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 10: Table S6.Comparisons of Enzyme annotations between MetaPro and SAMSA2 for NOD mouse, kimchi, and human oral biofilm datasets. This table compares the ECs of MetaPro against SAMSA2 on the NOD mouse, kimchi, and human oral biofilm datasets.  The SAMSA2 ECs were filtered for EC co-occurrence pairs that were not found in Swiss-Prot, and multiple unique ECs that annotated to the same gene family.  The resulting SAMSA2 ECs were contrasted against MetaPro’s EC, yielding a common set of ECs found in both tools, ECs found only by MetaPro, and ECs found only by SAMSA2. The same comparison is shown for MetaPro’s high-qaulity EC predictions.
DOI: 10.6084/m9.figshare.26600323.v1
title: Additional file 12 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 12: Table S8. Computational performance statistics of MetaPro, HUMAnN3, and SAMSA2. This table reports the amount of processing time required for each run of the three pipelines.  MetaPro additionally exports the timing data of each stage independently. HUMAnN3’s pre-processing step is a separate stage using a separate tool called KneadData. SAMSA2 cleans the data in the pipeline, but it is integrated and does not export timing data.
DOI: 10.6084/m9.figshare.26600305
title: Additional file 6 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 6: Table S2. Polycistronic read statistics for NOD mouse. This table shows the tally of non-overlapping paired-end reads that were assembled into contigs by MetaPro through rnaSPADes and subsequently annotated into discrete genes by MetaGeneMark. This table also shows the prevalence of polycistronic reads that exist within the data. BWA was used to align the assembled paired-end reads against the genes to identify discordant alignments between the forward and reverse-end read of a pair with the same ID.  This table has seven columns: 1) the sample ID. 2) the sample description. 3) the total number of alignments is the number of alignments of a read to a gene that BWA reported. 4) The total number of pairs is the number of IDs that BWA aligned, be it forward, reverse, or both paired-end reads.  5) The paired-end disagreements column are the number of times a forward-end and reverse-end read had different alignments for each NOD mouse sample.  6) The paired-end agreements column shows the number of times a forward-read and reverse-end read aligned to the same gene.  7)  The percentage of paired-end disagreements, relative to the total number of paired-end reads in the sample. The percentage of disagreements (polycistronic reads) are at-best 0.23%, and at-worst 7.8% of assembled, non-overlapped paired-end reads in the NOD mouse samples.
DOI: 10.6084/m9.figshare.26600314.v1
title: Additional file 9 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 9: Table S5.Comparisons of Enzyme annotations between MetaPro and HUMAnN3 for NOD mouse, kimchi, and human oral biofilm datasets. This table compares the ECs of MetaPro against HUMAnN3 on the NOD mouse, kimchi, and human oral biofilm datasets.  The HUMAnN3 ECs were filtered for EC co-occurrence pairs that were not found in Swiss-Prot, and multiple unique ECs that annotated to the same gene family.  The resulting HUMAnN3 ECs were contrasted against MetaPro’s EC, yielding a common set of ECs found in both tools, ECs found only by MetaPro, and ECs found only by HUMAnN3.  The same comparison is shown for MetaPro’s high-quality EC predictions.
DOI: 10.6084/m9.figshare.26600311
title: Additional file 8 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 8: Table S4.Read annotation statistics for kimchi fermentation datasets from MetaPro, HUMAnN3, HUMAnN2, SAMSA2, compared with the gold standard. This table shows the number of reads in each kimchi sample, annotated to the expected 5 lactic acid bacteria (LAB) from each pipeline: Leuconostic mesenteroides, Lactobacillus sakei, Weissella koreensis, Leuconostoc carnosum, and Leuconostoc gelidum. The expected results were obtained by annotating the kimchi datasets against a database containing only the reference gene sequences for the 5 LAB, using BWA.
DOI: 10.6084/m9.figshare.26600314
title: Additional file 9 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 9: Table S5.Comparisons of Enzyme annotations between MetaPro and HUMAnN3 for NOD mouse, kimchi, and human oral biofilm datasets. This table compares the ECs of MetaPro against HUMAnN3 on the NOD mouse, kimchi, and human oral biofilm datasets.  The HUMAnN3 ECs were filtered for EC co-occurrence pairs that were not found in Swiss-Prot, and multiple unique ECs that annotated to the same gene family.  The resulting HUMAnN3 ECs were contrasted against MetaPro’s EC, yielding a common set of ECs found in both tools, ECs found only by MetaPro, and ECs found only by HUMAnN3.  The same comparison is shown for MetaPro’s high-quality EC predictions.
DOI: 10.6084/m9.figshare.26600164
title: Additional file 13 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 13. Table S7 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis based on the corresponding overlapping gene between ATAC-seq and RNA-seq.
DOI: 10.6084/m9.figshare.26600308.v1
title: Additional file 7 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 7: Table S3.Read annotation statistics for NOD mouse datasets from MetaPro, HUMAnN3, HUMAnN2, SAMSA2 compared with the gold standard. This table shows the number of reads in each NOD mouse sample each pipeline assigned to the 8 ASF bacteria: Clostridium ASF356, Clostridium ASF502, Eubacterium plexicaudatum, Firimicutes ASF500, Lactobacillus ASF360, Lactobacillus murinus, Mucisprillim schaedleri, and Parabacteroides ASF519.  Due to the similarity between P. ASF519, and P. goldsteinii, the pipelines will sometimes annotate to P. goldsteinii rather than to P.ASF519.  P. goldsteinii was also a dominant species found within the samples outside of the 8 ASF bacteria.  The expected results were produced by annotating the reads with a reference containing only the 8 ASF, using BWA.
DOI: 10.6084/m9.figshare.26600170.v1
title: Additional file 15 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 15. Table S9 The detailed information of differentially expressed phosphorylated peptides and proteins between OB Fam20cf/f and OB Fam20cKO in phosphoproteomics.
DOI: 10.6084/m9.figshare.26600302.v1
title: Additional file 5 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 5: Table S1. Summary of Sequence Read Processing for Three Metatranscriptomic Datasets (NOD Mouse gut; Kimchi and Human Oral Biofilm) Processed by HUMAnN3, HUMAnN2, MetaPro and SAMSA2. This table reports the processing results from the four pipelines on samples from three different datasets. HUMAnN2 and HUMAnN3’s preprocessing tool concatenates paired reads into 1 single file and treats them as 2 separate reads. The NOD mouse samples are paired-end data, while the kimchi and human oral biofilm represent single-end sequence datasets. Unlike MetaPro and SAMSA2, HUMAnN3 and HUMAnN2 do not report transcripts but instead group proteins identified in their pipelines into gene families that are reported in the final column.
DOI: 10.6084/m9.figshare.26600320.v1
title: Additional file 11 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

description: Additional file 11: Table S7.Comparisons of Enzyme annotations between MetaPro and HUMAnN2 for NOD mouse, kimchi, and human oral biofilm datasets. This table compares the ECs of MetaPro against HUMAnN2 on the NOD mouse, kimchi, and human oral biofilm datasets.  The HUMAnN2 ECs were filtered for EC co-occurrence pairs that were not found in Swiss-Prot, and multiple unique ECs that annotated to the same gene family.  The resulting HUMAnN2 ECs were contrasted against MetaPro’s EC, yielding a common set of ECs found in both tools, ECs found only by MetaPro, and ECs found only by HUMAnN2.  The same comparison is shown for MetaPro’s high-qaulity EC predictions.
DOI: 10.6084/m9.figshare.26600152.v1
title: Additional file 9 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 9. Table S3 Gene expression and Q value of RNA-seq.
DOI: 10.6084/m9.figshare.26600170
title: Additional file 15 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 15. Table S9 The detailed information of differentially expressed phosphorylated peptides and proteins between OB Fam20cf/f and OB Fam20cKO in phosphoproteomics.
DOI: 10.15468/dl.wmbmsa
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-173.09675 7.94912,-31.36653 7.94912,-31.36653 74.65479,-173.09675 74.65479,-173.09675 7.94912))",
 "HasGeospatialIssue is false",
 "TaxonKey is Pisum sativum L."
 ]
}

 The dataset includes 284 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066632-240626123714530/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.26600158.v1
title: Additional file 11 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 11. Table S5 109 overlapped down-regulated differentially expressed genes between ATAC-seq and RNA-seq.
DOI: 10.6084/m9.figshare.26600152
title: Additional file 9 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 9. Table S3 Gene expression and Q value of RNA-seq.
DOI: 10.6084/m9.figshare.26600155
title: Additional file 10 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 10. Table S4 127 overlapped up-regulated differentially expressed genes between ATAC-seq and RNA-seq.
DOI: 10.6084/m9.figshare.26600158
title: Additional file 11 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 11. Table S5 109 overlapped down-regulated differentially expressed genes between ATAC-seq and RNA-seq.
DOI: 10.6084/m9.figshare.26600167.v1
title: Additional file 14 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 14. Table S8 The detailed information of differentially expressed peptides and proteins between OB Fam20cf/f and OB Fam20cKO in proteomics.
DOI: 10.6084/m9.figshare.26600161
title: Additional file 12 of Fam20c regulates the calpain proteolysis system through phosphorylating Calpasatatin to maintain cell homeostasis

description: Additional file 12. Table S6 Biological Processes of Gene Ontology (GO) enrichment analysis based on the corresponding overlapping gene between ATAC-seq and RNA-seq.
DOI: 10.13140/rg.2.2.22233.65120
title: PAKISTAN ARMY IN 1947-48 KASHMIR WAR WAS BADLY LED AT THE HIGHEST LEVEL AND HAD THE DUMBEST COMMANDERS LIKE GRACEY
DOI: 10.13140/rg.2.2.11852.74882
title: Video Title: Sneak Attack on Maiduguri Transcription and Translation Abubakar A Usman
DOI: 10.13140/rg.2.2.22128.79366
title: La gestion climatica en Jalisco
DOI: 10.13140/rg.2.2.33453.41445
title: Rastros na Cidade de Itabaiana - Ficha da Prática
DOI: 10.13140/rg.2.2.22102.57926
title: official-letter-Romanchuk
DOI: 10.13140/rg.2.2.31277.61928
title: Ejemplo2.1
DOI: 10.13140/rg.2.2.34633.06245
title: Ejemplo3
DOI: 10.13140/rg.2.2.19009.28007
title: Listagem de documentos analisados
DOI: 10.13140/rg.2.2.32640.76800
title: (التفاوض وإدارة الإنفعال بالحیاة الجامعیة)
DOI: 10.15468/dl.tq2ptx
title: Occurrence Download

description: A dataset containing 4545 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schinus terebinthifolius Raddi"
 ]
}

 The dataset includes 4545 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005134-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x2sr5
title: Occurrence Download

description: A dataset containing 1763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros de la clase Trilobita de la Precordillera de San Juan y Mendoza, Argentina",
 "Country is Argentina"
 ]
}

 The dataset includes 1763 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160786-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oad7ll
title: Occurrence Download

description: A dataset containing 973217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orthoptera"
 ]
}

 The dataset includes 973217 records from 770 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005134-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mycked
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandromoea nicobarica N.P.Balakr."
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160789-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjqxwz
title: Occurrence Download

description: A dataset containing 33418 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Polypodiales",
 "TaxonKey is Ophioglossales",
 "TaxonKey is Marattiales",
 "TaxonKey is Cyatheales",
 "TaxonKey is Osmundales",
 "TaxonKey is Hymenophyllales",
 "TaxonKey is Selaginellales",
 "TaxonKey is Lycopodiales",
 "TaxonKey is Salviniales",
 "TaxonKey is Isoetales",
 "TaxonKey is Gleicheniales",
 "TaxonKey is Psilotales",
 "TaxonKey is Schizaeales",
 "TaxonKey is Equisetales"
 ]
 },
 "Country is South Africa"
 ]
}

 The dataset includes 33418 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005134-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jr5uq
title: Occurrence Download

description: A dataset containing 1437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mammal collection of Museo de Zoología (MZUC)",
 "Country is Argentina"
 ]
}

 The dataset includes 1437 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160820-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnyfyg
title: Occurrence Download

description: A dataset containing 9352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria leptoclados (Rchb.) Guss.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9352 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005134-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmmbpr
title: Occurrence Download

description: A dataset containing 990758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 990758 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028635-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.