cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26738427
title: Additional file 4 of Entourage: all-in-one sequence analysis software for genome assembly, virus detection, virus discovery, and intrasample variation profiling

description: Additional file4: Report outputs generated by Entourage’s intrasample variation profiling module from the analysis of SARS-CoV-2 from a chronic COVID-19 patient (sample P01A0207) published by Wang et al., containing 2 tables. These include (i) nucleotide variant profiles of all sites, and (ii) nucleotide variant profiles of polymorphic sites only.
DOI: 10.6084/m9.figshare.26738418
title: Additional file 1 of Entourage: all-in-one sequence analysis software for genome assembly, virus detection, virus discovery, and intrasample variation profiling

description: Additional file1: Raw outputs generated by Entourage from the analysis of Khan et al.’s dataset, containing 6 tables. These include (i) read cleaning results, (ii) read subtraction results, (iii) read assembly statistics, (iv) read back-mapping results, (v) the reports from the target detection module, and (vi) the report from the discovery module.
DOI: 10.6084/m9.figshare.26738427.v1
title: Additional file 4 of Entourage: all-in-one sequence analysis software for genome assembly, virus detection, virus discovery, and intrasample variation profiling

description: Additional file4: Report outputs generated by Entourage’s intrasample variation profiling module from the analysis of SARS-CoV-2 from a chronic COVID-19 patient (sample P01A0207) published by Wang et al., containing 2 tables. These include (i) nucleotide variant profiles of all sites, and (ii) nucleotide variant profiles of polymorphic sites only.
DOI: 10.6084/m9.figshare.26741450
title: Additional file 3 of Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26738430
title: Additional file 5 of Entourage: all-in-one sequence analysis software for genome assembly, virus detection, virus discovery, and intrasample variation profiling

description: Additional file5: Table S1 Dataset compositions and sources. Table S2 Reference sequences used in the analysis of Khan et al.’s dataset with the target detection module. Table S3 Average mapping coverages and depths of viruses in Khan et al.’s dataset. Table S4 Reciprocal BLASTN results for unexpected viral sequences detected in Khan et al.’s dataset by Lazypipe.
DOI: 10.6084/m9.figshare.26738424.v1
title: Additional file 3 of Entourage: all-in-one sequence analysis software for genome assembly, virus detection, virus discovery, and intrasample variation profiling

description: Additional file3: Interactive version of the polymorphic site graph (Figure 2) in HTML format generated by Entourage from the polymorphic site detection analysis of SARS-CoV-2 from a chronic COVID-19 patient (sample P01A0207) published by Wang et al.
DOI: 10.15468/dl.g775mp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.023649 -34.437614, 148.023649 -34.444351, 148.02814 -34.444351, 148.02814 -34.43986, 148.030386 -34.43986, 148.030386 -34.437614, 148.023649 -34.437614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071248-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26738451
title: Additional file 1 of Opportunities to produce food from substantially less land

description: Additional file 1: Fig. S1. a Replace synthetic textiles with cotton. b Replace synthetic caffeine with coffee-derived caffeine. c Replace synthetic vanilla flavour with vanilla bean-derived vanilla flavour. Fig. S2. Cultivated Meat Cost Curve. Meat Cost Curve. Fig. S3. Summary. Underlying studies.
DOI: 10.6084/m9.figshare.26738451.v1
title: Additional file 1 of Opportunities to produce food from substantially less land

description: Additional file 1: Fig. S1. a Replace synthetic textiles with cotton. b Replace synthetic caffeine with coffee-derived caffeine. c Replace synthetic vanilla flavour with vanilla bean-derived vanilla flavour. Fig. S2. Cultivated Meat Cost Curve. Meat Cost Curve. Fig. S3. Summary. Underlying studies.
DOI: 10.15468/dl.37nc52
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.636752 -34.417402, 148.636752 -34.424139, 148.634506 -34.424139, 148.634506 -34.421893, 148.630014 -34.421893, 148.630014 -34.430876, 148.634506 -34.430876, 148.634506 -34.428631, 148.636752 -34.428631, 148.636752 -34.435368, 148.641243 -34.435368, 148.641243 -34.430876, 148.643489 -34.430876, 148.643489 -34.428631, 148.641243 -34.428631, 148.641243 -34.417402, 148.636752 -34.417402)), ((148.641243 -34.435368, 148.641243 -34.437614, 148.643489 -34.437614, 148.643489 -34.435368, 148.641243 -34.435368)), ((148.641243 -34.437614, 148.636752 -34.437614, 148.636752 -34.43986, 148.641243 -34.43986, 148.641243 -34.437614)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071249-240626123714530/datasets/export for details.
DOI: 10.15468/dl.hv5bpt
title: Occurrence Download

description: A dataset containing 360336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 360336 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071246-240626123714530/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.26747345
title: Additional file 4 of Essential components of an effective transition from paediatric to adult neurologist care for adolescents with Duchenne muscular dystrophy; a consensus derived using the Delphi methodology in Eastern Europe, Greece and Israel

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26747345.v1
title: Additional file 4 of Essential components of an effective transition from paediatric to adult neurologist care for adolescents with Duchenne muscular dystrophy; a consensus derived using the Delphi methodology in Eastern Europe, Greece and Israel

description: Supplementary Material 4.
DOI: 10.15468/dl.g79922
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.97571 -8.01282,148.02429 -8.01282,148.02429 4.01282,117.97571 4.01282,117.97571 -8.01282))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylophorbus picoides Günther, 2001",
 "Year 2004-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071250-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jdhbs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.811924 -34.437614, 148.811924 -34.43986, 148.818662 -34.43986, 148.818662 -34.437614, 148.811924 -34.437614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071251-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26747087
title: Additional file 3 of Population structure and selection signal analysis of indigenous sheep from the southern edge of the Taklamakan Desert

description: Supplementary Material 3
DOI: 10.34740/kaggle/dsv/9189509
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.26741774
title: Additional file 8 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 8.
DOI: 10.6084/m9.figshare.26747270
title: Additional file 2 of Meta-analysis of intrauterine hCG perfusion efficacy in recurrent implantation failure as defined by ESHRE guidelines

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26741768
title: Additional file 6 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 6.
DOI: 10.6084/m9.figshare.26741756.v1
title: Additional file 2 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 2.
DOI: 10.15468/dl.abjj8c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.88379 -34.437614, 148.88379 -34.444351, 148.886036 -34.444351, 148.886036 -34.437614, 148.88379 -34.437614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071252-240626123714530/datasets/export for details.
DOI: 10.60797/irj.2024.146.94.1
title: Районы отбора проб элодеи и донных отложений р. Енисей

description: Международный научно-исследовательский журнал, Выпуск 8 (146) 2024
DOI: 10.60797/irj.2024.146.138.4
title: Результаты дисперсионного анализа уровня невротизации и показателей осознанности у юношей по критерию Фишера и критерию Уэлча

description: Международный научно-исследовательский журнал, Выпуск 8 (146) 2024
DOI: 10.60797/irj.2024.146.138.6
title: Результаты сравнения проявления параметра осознанности «Умение действовать с осознанностью» в группах юношей с разным уровнем невротизации по критерию Тьюки

description: Международный научно-исследовательский журнал, Выпуск 8 (146) 2024
DOI: 10.15468/dl.gvvrmq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((69.89328 -43.45584,197.10672 -43.45584,197.10672 7.45584,69.89328 7.45584,69.89328 -43.45584))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platyplectrum Günther, 1863",
 "Year 2004-2024"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071253-240626123714530/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.26738664.v1
title: Additional file 3 of An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism

description: Supplementary Material 3.
DOI: 10.60797/irj.2024.146.56.3
title: Сравнительно–сопоставительный анализ отрывка из песни "I'm just Ken"

description: Международный научно-исследовательский журнал, Выпуск 8 (146) 2024
DOI: 10.6084/m9.figshare.26738667
title: Additional file 4 of An automatic peak deconvolution code for Raman spectra of carbonaceous material and a revised geothermometer for intermediate- to moderately high-grade metamorphism

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26747366.v1
title: Additional file 6 of Novel drug resistance mechanisms and drug targets in BRAF-mutated peritoneal metastasis from colorectal cancer

description: Supplementary Material 6.
DOI: 10.6084/m9.figshare.26747360
title: Additional file 4 of Novel drug resistance mechanisms and drug targets in BRAF-mutated peritoneal metastasis from colorectal cancer

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26747375
title: Additional file 9 of Novel drug resistance mechanisms and drug targets in BRAF-mutated peritoneal metastasis from colorectal cancer

description: Supplementary Material 9.
DOI: 10.15468/dl.6r4eng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
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 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071254-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26741960
title: Additional file 4 of Extracellular vesicle miRNAs for predicting the efficacy of late-line treatment with anlotinib in patients with lung adenocarcinoma

description: Additional file 4.
DOI: 10.15156/bio/sh0196971.10fu
title: SH0196971.10FU

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/sh0196972.10fu
title: SH0196972.10FU

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/sh0196973.10fu
title: SH0196973.10FU

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/sh0196974.10fu
title: SH0196974.10FU

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/sh0196975.10fu
title: SH0196975.10FU

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/sh0196976.10fu
title: SH0196976.10FU

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/sh0196977.10fu
title: SH0196977.10FU

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/sh0196978.10fu
title: SH0196978.10FU

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/sh0196979.10fu
title: SH0196979.10FU

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/sh0196980.10fu
title: SH0196980.10FU

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.