cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1179569.10fu
title: SH1179569.10FU

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/sh1179575.10fu
title: SH1179575.10FU

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/sh1179576.10fu
title: SH1179576.10FU

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/sh1179577.10fu
title: SH1179577.10FU

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/sh1179579.10fu
title: SH1179579.10FU

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/sh1179580.10fu
title: SH1179580.10FU

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/sh1179581.10fu
title: SH1179581.10FU

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.ky9sx4
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048787-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7vk8c
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "Geometry POLYGON((79.234 26.39408,90.08195 26.39408,90.08195 31.14632,79.234 31.14632,79.234 26.39408))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris (Linnaeus, 1758)",
 "Year 2000-2024"
 ]
}

 The dataset includes 208 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048788-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wdg759
title: Deliverables of Herbarium of Namangan State University for the CESP2023-007 project

description: Data publication of approximately 1378 collection specimens for type of plants: 1. Phlomoides Moench. – 630; 2. Astragalus – 60; 3. Tulipa L.- 60; 4.Ziziphora-50; 5. Allium – 45; 6. Zygophyllum-40; 7. Caroxylon-41; 8. Iris-30; 9. Artemisia-28; 10.Anabasis-34; 11. Delphinium-25; 12. Echinops-20; 13. Lamyropappus-20; 14. Acanthophyllum-20; 15.Alyssum-15; 16. Convolvulus-15; 17. Fritillaria-15;18. Limonium-17; 19. Anemone-13; 20. Achillea-15; 21.Ephedra-10; 22. Chesneya-5; 23. Dorema-165; 24. Plagiobasis-5.
DOI: 10.15468/dl.6gk69h
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "Geometry POLYGON((80.96401 27.63227,83.56091 27.63227,83.56091 29.20135,80.96401 29.20135,80.96401 27.63227))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris (Linnaeus, 1758)"
 ]
}

 The dataset includes 60 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048789-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4486nu
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048790-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ha4umz
title: Phylogeny of Iris L. species distributed in the flora of Uzbekistan

description: Data publication of approximately 912 collection specimens for type of plants: Iris L. - 807; Crocus L. - 57; Gladiolus - 22; Morea Mill. - 26.
DOI: 10.5281/zenodo.14555854
title: PathSeeker Example Data

description: PathSeeker simulated example data and formatted to be concordant with CZID Output 2024 per sample.
DOI: 10.5281/zenodo.14555855
title: PathSeeker Example Data

description: PathSeeker simulated example data and formatted to be concordant with CZID Output 2024 per sample.
DOI: 10.15468/ruscek
title: Dendroflora of the botanical-geographical district of Kuhistan (composition, distribution and protection issues).

description: Data publication of approximately 2900 collectionspecimens for type of plants: 1. Ephedra Tourn. ex L. –170; 2. Juniperus L. – 252; 3. Berberis L. – 19; 4. Clematis L. – 14; 5. Platanus L. – 53; 6. Ribes L. – 1; 7. Colutea L. – 56; 8. Halimodendron Fisch. ex DC. – 3; 9. Caragana Fabr. – 1; 10. Astragalus L. – 48; 11. Onobrychis Mill. – 24; 12. Spiraea L. – 15; 13. Cotoneaster Medik. – 146; 14. Pyrus L. – 7; 15. Malus Mill. – 45; 16. Cydonia Mill. – 10; 17. Sorbus L. – 4; 18. Crataegus L. – 133; 19. Rubus L. – 55; 20. Pentaphylloides Duham. – 9; 21. Sibbaldia L. – 19; 22. Rosa L. – 422; 23. Prunus L. – 402; 24. Hippophae L. – 32; 25. Elaeagnus Tourn. ex L. – 59; 26. Ulmus L. – 39; 27. Celtis L. – 26; 28. Morus L. – 41; 29. Juglans L. – 67; 30. Betula L. – 19; 31. Populus L. – 80; 32. Salix L. – 179; 33. Pistacia L. – 20; 34. Acer L. – 148; 35. Ailanthus Desf. – 12; 36. Arceuthobium M. Bieb. – 31; 37. Tamarix L. – 37; 38. Myricaria Desv. – 8; 39. Atraphaxis L. – 4; 40. Salsola L. – 1; 41. Fraxinus Tourn. ex L. – 39; 42. Lonicera L. – 144; 43. Helianthemum (L.) Mill. – 2; 44. Lycium L. – 4.
DOI: 10.15468/dl.3c3qby
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048791-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/pj86q8
title: Deliverables of Herbarium of Bukhara State University for the CESP2023-007 project

description: Data publication of approximately 310 collection specimens for type of plants: 1. Artemisia L. -15; 2.Cousinia Cass. -19; 3. Amaranthus L. – 15; 4.AtriplexL. – 12; 5. Bassia All. – 13; 6.Chenopodium L.-10; 7. Caroxylon Thunb. – 16; 8.Climacoptera Botsch. – 10; 9. Halimocnemis C. A.Mey. – 10; 10. SalsolaL. – 12; 11. Centaurea L.-12; 12. Erigeron L. -10; 13. Lactuca L. -17; 14.Scorzonera L. -11; 15. Symphyotrichum Nees-10; 16. Taraxacum F.H. Wigg.-10; 17. Xanthium L.-10; 18. Sonchus L. -10; 19. Suaeda Forsk. -22; 20.Astragalus L. -63, 21. Takhtajaniantha pusilla (Pall.) Nazarova - 3.
DOI: 10.15468/tsryfw
title: Genus Gagea Salisb. of the Southwestern Pamir-Alai within Uzbekistan.

description: The database created on the basis of 1001 herbarium specimens of 22 species of the series from 1916–2019 belongs to Gagea Salisb, which is distributed in the territory of Uzbekistan.
DOI: 10.15468/f48fsj
title: Deliverables of Herbarium of National University of Uzbekistan for the CESP2023-007 project

description: Data publication of approximately 299 collection specimens for type of plants: 1. Cousinia Cass. -200; 2. Stipagrostis pennata (Trin.) de Winter - 11; 3.Stipagrostis karelinii - 9; 4. Fritillaria karelinii (Fisch. ex D. Don) Baker - 41; 5. Eremosparton aphyllum (Pall.) Fisch. et C. A. Mey - 20; 6.Ammodendron conollyi Bunge ex Boiss.- 6; 7.Convolvulus erinaceus Ledeb-10; 8.Artemisia diffusa Krasch. ex Poljakov - 2.
DOI: 10.15468/zjv8df
title: Deliverables of Herbarium of National University for the CESP2023-007 project (Human Observation)

description: Data publication of approximately 72 collection specimens for type of plants:Stipagrostis pennata (Trin.) de Winter - 9; Stipagrostis karelinii - 11; Eremosparton aphyllum (Pall.) Fisch. et C. A. Mey - 10; Ammodendron conollyi Bunge ex Boiss.- 14; Convolvulus erinaceus Ledeb-10; Artemisia diffusa Krasch. ex Poljakov - 18.
DOI: 10.15468/4d9wna
title: The influence of abiotic and anthropogenic factors on the biodiversity of hydrobionts in the water bodies of South Uzbekistan.

description: Data publication of approximately 250 collection specimens for 15 species of animals: Corbicula purpurea -47; 
 Corbicula tibetensis -53; 
 Corbicula ferghanensis -46;
Sinanodonta puerorum- 18;
 Lymnaea auricularia -8; 
 Corbicula cor -16;
 Corbicula fluminalis -20;
 Anodonta (Colletopterum) bactriana- 4;
 Anodonta (Ponderosiana) ponderosa volgensis-5;
 Physella acuta -4; 
 Lymnaea (Radix) bactriana- 4; 
 Planorbis (Planorbis) planorbis -4; 
 Rhodeus ocellatus- 7; 
 Alburnoides holciki- 4; 
 Gobio nigrescens-10;
DOI: 10.15468/dl.edxawd
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((120.09108 -2.39168,121.02331 -2.39168,121.02331 -1.45946,120.33322 -1.45946,120.09108 -1.45946,120.09108 -2.39168))",
 "Geometry POLYGON((116.62941 -7.75126,125.6425 -7.75126,125.6425 1.26183,116.62941 1.26183,116.62941 -7.75126))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes glabrata J.R.Turnbull & A.T.Middleton"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048792-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/q2cjh6
title: Mycobiota of trees and shrubs of Ferghana Valley (in the territory of Uzbekistan).

description: Information on 251 species belonging to 2 phylums, 6 classes, 23 orders, 56 families, and 112 genera of the mycobiota of trees and shrubs in the Fergana Valley is presented.
DOI: 10.6084/m9.figshare.27143571.v2
title: Chrysiptera cyanea genome annotation, transcriptome, proteome, and script for manuscript figure production

description: Chrysiptera cyanea is among the most common coral reef fish in shallow coastal zones around the main island of Okinawa. Our team is working to develop this fish as a model organism for environmental monitoring purposes. Generating a genome allowed to investigate biomolecular aspects (notably using RNAseq) of the impact of environmental factors on Chrysiptera cyanea.On NCBI:- Raw genomic reads can be found on NCBI under the BioProject PRJNA1167451: m64150e_221129_182410.hifi_reads.fastq.gz and m64150e_221201_052041.hifi_reads.fastq.gz- Biosample is SAMN44005798: Sesoko_Male1_2022_Liver_for_DNA.- The assembly presented in the manuscript is C.cyanea_contigs.fasta.Genome annotation was notably performed using organ-specific transcriptomic reads from the same individual (Sesoko Male 1): - Eye1_S45_R1_001.fastq.gz and Eye1_S45_R2_001.fastq.gz (Accession number: SRR30849507)- Gill1_S47_R1_001.fastq.gz and Gill1_S47_R2_001.fastq.gz (Accession number: SRR30849506)- Liver1_S44_R1_001.fastq.gz and Liver1_S44_R2_001.fastq.gz (Accession number: SRR30849505)- Muscle1_S46_R1_001.fastq.gz and Muscle1_S46_R2_001.fastq.gz (Accession number: SRR30849504)- Sesoko-B1_S13_R1_001.fastq.gz and Sesoko-B1_S13_R2_001.fastq.gz [The brain from a different fish (Sesoko Male B1) collected at the same site on the same day also used for the annotation] (Accession number: SRR30849503)<br>On FigShare:- C.cyanea_genomeannotation.gff3 : genome annotation - C.cyanea_Final_Codingseq.fasta : coding sequence - C.cyanea_proteome.fasta : proteome - C.cyanea_blastannotation.csv : functional annotation of the coding sequence- All BUSCO files for assemblies performed with various options of Flye and the Improved Phased Assembler can also be found on FigShare (short summary, full table, and missing BUSCO list for 9 different assembly options). The assembly that was used for the final genome is the Improved Phased Assembler, no phase, parental alleles (nophase_p)- Delta files obtained from nucmer aligning the genome assembly to reference Pomacentrid genomes (Amphiprion clarkii, A. ocellaris, A. percula, Acanthochromis polyacanthus, Dascyllus trimaculatus) as well as the number of bases aligning between the C. cyanea contigs and reference genomes (n_bases_Ccy_to_X_nucmer.csv) by filtering to only keep alignments longer than 10,000 bases- The R (v4.3.3) script using the aforementioned files to produce Figure 2 and 3 from the manuscript: dotplot_and_nb_bases_calculation_Rscript.txt
DOI: 10.25345/c58k75824
title: MassIVE MSV000096730 - Anti-Inflammatory and Antioxidant Properties of Oleuropein in Human Keratinocytes Characterized by Bottom-Up Proteomics
title: SWATH-MS data for human keratinocytes (HaCaT cell line), sample 0001-0004 indicates HaCaT cells with no treatment, sample 0005-0008 indicates HaCaT cells induced by H2O2, sample 0009-0012 indicates HaCaT cells treated by H2O2 and OLE. For more detailed information, please contact Dr.Chang Liu (hichang813@uri.edu)
DOI: 10.15468/dl.kcfh3z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((120.76694 0.14323,122.63139 0.14323,122.63139 2.00767,120.76694 2.00767,120.76694 0.14323))",
 "Geometry POLYGON((118.47106 -5.18436,120.85953 -6.62645,124.19437 -5.18436,125.4562 -2.02977,124.19437 0.04324,119.86809 1.21494,118.47106 0.04324,117.11909 -2.3903,118.47106 -5.18436))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes hamata J.R.Turnbull & A.T.Middleton"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048793-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnfp3h
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((118.99291 -4.32706,120.85735 -4.32706,120.85735 -2.46261,118.99291 -2.46261,118.99291 -4.32706))",
 "Geometry POLYGON((116.26888 -9.19335,124.92145 -9.19335,124.92145 1.26183,116.26888 1.26183,116.26888 -9.19335))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes nigra Nerz, Wistuba, Chi C.Lee, Bourke, U.Zimm. & S.Mc Pherson"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048794-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14555909
title: Massive MIMO Channel State Information (CSI) Dataset for Next-Generation Networks Research

description: This dataset contains a comprehensive collection of Massive MIMO Channel State Information (CSI) data designed for advanced Artificial Intelligence/Machine Learning (AI/ML) research in next-generation networks (5G and beyond).

Key features:



Covers stationary, high-speed mobility, and urban macrocell scenarios.

Includes 3GPP-based channel profiles with noise and Doppler effects.

Facilitates research in anomaly detection, scenario classification, and CSI prediction using ML/DL models.
DOI: 10.5281/zenodo.14555910
title: Massive MIMO Channel State Information (CSI) Dataset for Next-Generation Networks Research

description: This dataset contains a comprehensive collection of Massive MIMO Channel State Information (CSI) data designed for advanced Artificial Intelligence/Machine Learning (AI/ML) research in next-generation networks (5G and beyond).

Key features:



Covers stationary, high-speed mobility, and urban macrocell scenarios.

Includes 3GPP-based channel profiles with noise and Doppler effects.

Facilitates research in anomaly detection, scenario classification, and CSI prediction using ML/DL models.