cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive108832.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108833.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100615.10fu
title: SH0100615.10FU

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: 10.13145/bacdive108833.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100616.10fu
title: SH0100616.10FU

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: 10.13145/bacdive108834.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108834.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108835.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108835.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100617.10fu
title: SH0100617.10FU

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: 10.13145/bacdive108836.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100618.10fu
title: SH0100618.10FU

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: 10.13145/bacdive108836.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108837.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100619.10fu
title: SH0100619.10FU

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: 10.13145/bacdive108837.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108838.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108838.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100620.10fu
title: SH0100620.10FU

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: 10.13145/bacdive108839.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive108839.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100621.10fu
title: SH0100621.10FU

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.ae94s2
title: Occurrence Download

description: A dataset containing 34536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum tuberosum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34536 records from 406 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079862-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e54e8z
title: Occurrence Download

description: A dataset containing 603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassula alata (Viv.) A.Berger",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 603 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079859-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdjye2
title: Occurrence Download

description: A dataset containing 185194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 {
 "or" : [
 "StateProvince is tolima department",
 "StateProvince is tolima"
 ]
 },
 "TaxonKey is Aves"
 ]
}

 The dataset includes 185194 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019051-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdxsbh
title: Occurrence Download

description: A dataset containing 1981 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uma scoparia Cope, 1894"
 ]
}

 The dataset includes 1981 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079833-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3efkn
title: Occurrence Download

description: A dataset containing 2045849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apidae"
 ]
}

 The dataset includes 2045849 records from 952 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046668-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2xg9fc8z
title: Conductivity-Temperature-Depth (CTD) and Geochemistry Data from 2023 Expedition of the Canadian Coast Guard Ship Louis S. St-Laurent to the Beaufort Gyre

description: Contains data from a hydrographic cruise conducted about the aboard the Canadian Coast Guard Ship (CCGS) Louis S. St-Laurent, September 14th to October 12th, 2023 under the Beaufort Gyre Observing System (BGOS)/Joint Ocean Ice Study (JOIS). Data were collected under the National Science Foundation (NSF) award "AON (Arctic Observing Network) Collaborative Research: Continuation of long-term Beaufort Gyre observations in 2020-2024 to enhance understanding of the Arctic's role in climate variability" in collaboration with researchers from Fisheries and Oceans Canada at the Institute of Ocean Sciences (Bill Williams and Sarah Zimmermann, Institute of Ocean Sciences).
 There were 56 conductivity temperature depth (CTD) casts performed using a SBE911+ CTD system with 24 10-Liter (L) Niskins. The CTD data for down casts are provided in 1-decibar (db) averaged files (*.cnv), in Seabird's text format with one file per cast and separate files. Cruise documentation is available as a text file. Geochemistry data are provided in a separate excel spreadsheet.
DOI: 10.15468/dl.v993e7
title: Occurrence Download

description: A dataset listing the 3301068 species recorded in GBIF matching the query:
{ }

 The dataset's 3301068 records were derived from 31870 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103898-200613084148143/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.3603545_d4
title: Additional file 5: Table S5: of QTL underlying some agronomic traits in barley detected by SNP markers

description: Putative QTLs for 10 agronomic traits through multiple environments QTL mapping. (XLSX 25Â kb)
DOI: 10.6084/m9.figshare.c.3603536_d5
title: Additional file 5: Table S5. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Differentially expressed genes between VHLmut and VHLwt cell cultures. (XLSX 58 kb)
DOI: 10.6084/m9.figshare.c.3603545_d5
title: Additional file 2: Table S2: of QTL underlying some agronomic traits in barley detected by SNP markers

description: Correlation coefficients among the 10 observed agronomic traits. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.c.3603536_d6
title: Additional file 1: Table S1. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Clinical characteristics of samples used to generate cell lines. (XLS 36 kb)
DOI: 10.6084/m9.figshare.c.3603536_d7
title: Additional file 3: Table S3. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Summary of cell cultures established. (XLS 40 kb)
DOI: 10.6084/m9.figshare.c.3603542_d6
title: Additional file 1: of Genome-wide profiling of 24Â hr diel rhythmicity in the water flea, Daphnia pulex: network analysis reveals rhythmic gene expression and enhances functional gene annotation

description: JTK_CYCLE and network analysis results. The spreadsheet shows, for each D. pulex gene: 1) Gene annotations 2) JTK_CYCLE derived statistics, 3) network analysis rhythmic gene predictions and statistics, and 4) network analysis functional annotations, predictions, and statistics. (XLSX 1853Â kb)
DOI: 10.6084/m9.figshare.c.3603566_d1
title: MOESM6 of A method for detecting single mRNA molecules in Arabidopsis thaliana

description: Additional File 6. Raw data for PP2A mRNA and nascent counts.
DOI: 10.15468/dl.h78ab5
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia coreana W.Becker"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032676-241126133413365/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.3603536_d8
title: Additional file 8: Table S8. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Differentially expressed genes between matched tumor tissue and VHLmut cultures. (XLSX 1.05 mb)
DOI: 10.6084/m9.figshare.c.3603536_d9
title: Additional file 7: Table S7. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Genes associated with the VHLmut networks shown in Fig. 6. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.c.3603536_d10
title: Additional file 2: Table S2. of Efficient generation of patient-matched malignant and normal primary cell cultures from clear cell renal cell carcinoma patients: clinically relevant models for research and personalized medicine

description: Primers for VHL sequencing. (XLS 35 kb)
DOI: 10.15468/dl.77x6p3
title: Occurrence Download

description: A dataset containing 8660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pieridae"
 ]
}

 The dataset includes 8660 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032678-241126133413365/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.3603686_d2
title: MOESM1 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population

description: Additional file 1. PCR conditions and primer sequences for the gene regions analysed in the 15 merozoite genes.
DOI: 10.6084/m9.figshare.c.3603689_d2
title: Additional file 2: of Comparative genomic analysis of retrogene repertoire in two green algae Volvox carteri and Chlamydomonas reinhardtii

description: Detailed information on all predicted retrogene candidates. (XLSX 45 kb)
DOI: 10.15468/dl.pntv2f
title: Occurrence Download

description: A dataset containing 7231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia hirtella Jord. ex Reut."
 ]
}

 The dataset includes 7231 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032677-241126133413365/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.3603686_d3
title: MOESM5 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population

description: Additional file 5. SNPs and repeat region frequencies within the 15 merozoite genes from the uncomplicated malaria infections in 2007 and 2008 to identify significant SNPs.
DOI: 10.6084/m9.figshare.c.3603689_d3
title: Additional file 3: of Comparative genomic analysis of retrogene repertoire in two green algae Volvox carteri and Chlamydomonas reinhardtii

description: Predicted functions (GO terms) of the retrogene candidates. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.c.3603698_d2
title: Additional file 3 of Estimating transmission probability in schools for the 2009 H1N1 influenza pandemic in Italy

description: Files of data on school B. Explanations as for school A. (TXT 3 kb)
DOI: 10.6084/m9.figshare.c.3603686_d5
title: MOESM4 of Comparison of allele frequencies of Plasmodium falciparum merozoite antigens in malaria infections sampled in different years in a Kenyan population

description: Additional file 4. Linkage disequilibrium (LD) analysis of all high frequency (&gt;5%) SNPs in all 15 merozoite genes, except eba181 due to limited SNP data. The analysis was performed by conducting all possible pair-wise comparisons between all the SNPs across 14 merozoite genes using a pair-wise correlation analysis and a Bonferroni correction for multiple comparisons. The red boxes represent significant correlations between SNPs and thus SNPs in LD, orange represents correlations between SNPs that are not significant, white indicates the SNPs that are not correlated and therefore they are not in LD and grey represents cases where the SNP data is missing in one or both of the paired SNPs.
DOI: 10.6084/m9.figshare.c.3603698_d3
title: Additional file 2 of Estimating transmission probability in schools for the 2009 H1N1 influenza pandemic in Italy

description: Files of data on school A. Each row corresponds to a student for which we received the filled questionnaire. In the column ‘classe’ there is the name of the class (the 1st digit is the grade); in ’nstud’ the number of students in that class; in ‘infected’ whether that student showed ILI symptoms (1) or not (0); in ‘home’ the number of household members infected before that student (−1 if infected =0); ’day’ and ’month’ the date of ILI occurrence (−1 if infected =0). (TXT 4 kb)
DOI: 10.6084/m9.figshare.c.3603713_d1
title: Additional file 5 of Common disease signatures from gene expression analysis in Huntingtonâ  s disease human blood and brain

description: Gene identifiers of blood modules associated with HD. In this file we include the gene identifiers that constitute each module in blood that is associated with HD. (XLS 84 kb)