cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0184159.10fu
title: SH0184159.10FU

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/sh0184160.10fu
title: SH0184160.10FU

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/sh0184161.10fu
title: SH0184161.10FU

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/sh0184162.10fu
title: SH0184162.10FU

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/sh0184163.10fu
title: SH0184163.10FU

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/sh0184164.10fu
title: SH0184164.10FU

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.nv29ps
title: Occurrence Download

description: A dataset listing the 111441 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 111441 records were derived from 13391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265532-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/fuazca
title: Phylogeny and taxonomy of the genus Hyphodontia (Hymenochaetales, Basidiomycota) in China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Min, Chen, Yuan-Yuan (2017): Phylogeny and taxonomy of the genus Hyphodontia (Hymenochaetales, Basidiomycota) in China. Phytotaxa 309 (1): 45-54, DOI: 10.11646/phytotaxa.309.1.4, URL: http://dx.doi.org/10.11646/phytotaxa.309.1.4AbstractIn this paper, two new species in Hyphodontia, H. bubalina and H. mongolica, are reported as new to science based on morphological characteristics and phylogenetic analyses. Detailed descriptions and illustrations are provided with comparisons among allied taxa. Hyphodontia bubalina has thin cream basidiomata, a monomitic hyphal system with thin- to slightly thick-walled generative hyphae, hyphoid or subulate cystidioles, ellipsoid to subglobose basidiospores measuring as 4–5.3 × 3–4.2 μm. Hyphodontia mongolica is characterized by the partly confluent or branched aculei, a monomitic hyphal system with thick-walled generative hyphae, clavate and tubular cystidia, and ellipsoid basidiospores measuring as 4.9–6.6 × 2.5–3.2 μm. Phylogenetic analyses based on the internal transcribed spacer (ITS) regions which performed by Bayesian (BI), maximum likelihood (ML) and maximum parsimony (MP) methods confirm to place the two species in the genus Hyphodontia.
DOI: 10.5281/zenodo.10375644
title: Let the giants be named - Taxonomic description database for the isopod genus Bathynomus for the DELTA system

description: Morphological characters have been extracted from recent relevant literature on Bathynomus, mainly from the six previously known species from the Atlantic Ocean and gulf of Mexico (Magalhães and Young 2003; Lowry and Dempsey 2006; Shipley et al. 2016; Huang et al. 2022). To simultaneously maximize compactness and taxonomic value of the species description, mainly characters that have previously been interpreted as diagnostic at the species level have been included, omitting others which played no role in species delimitation. A taxonomic database has been newly set up using DELTA (Dallwitz 1980, 1993; Dallwitz et al. 2006). Character states for all presently known Atlantic congeners have been scored to generate a natural language description and a new identification key (Dallwitz 1974) for the region as well as a species diagnosis. The species diagnosis has been composed based on the characters used in the identification key.

 
description: References

Dallwitz MJ (1974) A flexible computer program for generating identification keys. Syst Biol 23:50–57. doi: 10.1093/sysbio/23.1.50

Dallwitz MJ (1980) A general system for coding taxonomic descriptions. Taxon 29:41–46.

Dallwitz MJ (1993) DELTA and INTKEY. In: Fortuner R (ed) Advances in computer methods for systematic biology: artificial intelligence, databases, computer vision. Johns Hopkins University Press, Baltimore, pp 287–296

Dallwitz MJ, Paine TA, Zurcher EJ (2006) User’s guide to the DELTA system: a general system for processing taxonomic descriptions. Httpdelta-Intkeycom 1–114.

Huang M-C, Kawai T, Bruce NL (2022) A new species of Bathynomus Milne-Edwards, 1879 (Isopoda: Cirolanidae) from the southern Gulf of Mexico with a redescription of Bathynomus jamesi Kou, Chen and Li, 2017 from off Pratas Island, Taiwan. J Nat Hist 56:885–921.

Lowry JK, Dempsey K (2006) The giant deep-sea scavenger genus Bathynomus (Crustacea, Isopoda, Cirolanidae) in the Indo-West Pacific. Trop Deep-Sea Benthos 24:163–192.

Magalhães N, Young PS (2003) Bathynomus A. Milne Edwards, 1879 (Isopoda, Cirolanidae) da costa do Brasil, incluindo a descrição de uma nova espécie. 

Shipley ON, Bruce NL, Violich M, Baco A, Morgan N, Rawlins S, Brooks EJ (2016) A new species of Bathynomus Milne Edwards, 1879 (Isopoda: Cirolanidae) from The Bahamas, Western Atlantic. Zootaxa 4147:82–88.
DOI: 10.6084/m9.figshare.24967428.v1
title: Anexo2_review.docx

description: table for review
DOI: 10.15468/dl.thdcf8
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Switzerland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 81 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012134-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9m6nw
title: Occurrence Download

description: A dataset containing 1373036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "TaxonKey is Odonata",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1373036 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017464-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7c24d
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasyatis kuhli (Müller & Henle, 1841)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012136-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9893764
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.kg8n8a
title: Occurrence Download

description: A dataset containing 9053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Occurrence evidence, Machine Observation)",
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus arvalis (Pallas, 1779)",
 "Year 1990-2024"
 ]
}

 The dataset includes 9053 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012135-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25959/ntrv-2j21
title: Material from PhD thesis: Appendix A-3 RPA primers and crRNA

description: This dataset contains supplemental material as part of a PhD thesis: Development of Novel Diagnostic Tools and Antigen Discovery for Devil Facial Tumour Disease.

The material contains a list of recombinase polymerase amplification (RPA) primers and LwCas13a CRISPR RNA (crRNA) for the amplification and detection of DFT1, DFT2, RPL13a, and ZIKV. The material also includes a list of primer combinations. The best-performing primer pair and crRNA for each target are indicated. These primers and crRNA were used in the development of CRISPR-based point-of-care diagnostic tools, termed specific high-sensitivity enzymatic reporter unlocking (SHERLOCK), to identify DFT1 and DFT2 in the field with limited instrumentation.
DOI: 10.25959/cqsz-vh37
title: Material from PhD thesis: Appendix C-1 List of RNA-seq datasets

description: This dataset contains supplemental material as part of a PhD thesis: Development of Novel Diagnostic Tools and Antigen Discovery for Devil Facial Tumour Disease. 

The material contains a list of RNA-seq datasets used for the differential expression analysis for Tasmanian devil facial tumour disease vaccine antigen discovery. RNA samples were sourced from wild/captive Tasmanian devils (as early as 2003) and from cell lines. The dataset includes paired-end and single-end RNA-seq datasets from 30 primary DFT1, 4 DFT1 cell line c5065, 5 primary DFT2 primary, 4 DFT2 cell line RV, and 2 DFT2 cell line JV, 8 whole blood, 2 ear fibroblast, 5 spleens, 5 hearts, 5 testis, 38 lips, 4 brains, 2 peripheral nerves, 2 blood vessels, 2 axillary nerves, 2 brachial plexus nerves, 2 brain stems, 2 cerebellums, 2 cerebrums, 2 optic nerves, 2 sciatic nerves, and 4 trigeminal nerves.
DOI: 10.15468/dl.32c2m2
title: Occurrence Download

description: A dataset containing 16965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Spain",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 16965 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012137-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kauhfy
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vidua maryae Payne, 1982"
 ]
}

 The dataset includes 342 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012138-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9893781
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.24967428
title: Anexo2_review.docx

description: table for review
DOI: 10.6084/m9.figshare.24967428.v3
title: Anexo2_review.docx

description: table for review
DOI: 10.6084/m9.figshare.24967428.v2
title: Anexo2_review.docx

description: table for review
DOI: 10.25345/c5x34n41k
title: MassIVE MSV000096398 - Multi-omics analysis of endothelial cells reveals the metabolic diversity that underlies endothelial cell functions
title: Intra- and extracellular metabolomics dataset of human dermal blood endothelial cells (HDBECs), human umbilical vein endothelial cells (HUVECs), human dermal lymphatic endothelial cells (HDLECs) and intestinal lymphatic endothelial cells (iLECs) in proliferation and quiescence.
DOI: 10.15468/dl.ft9dng
title: Occurrence Download

description: A dataset containing 8352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sylvilagus bachmani (Waterhouse, 1839)"
 ]
}

 The dataset includes 8352 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012140-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp2s4u
title: Occurrence Download

description: A dataset containing 1866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is France",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1866 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012141-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25959/4zmn-mk18
title: Material from PhD thesis: Appendix C-2 Repeat elements identified in Tasmanian devil's genome

description: This dataset contains supplemental material as part of a PhD thesis: Development of Novel Diagnostic Tools and Antigen Discovery for Devil Facial Tumour Disease. 

The material contains a list of repeat elements identified from the Tasmanian devil's genome for the differential expression analysis and Tasmanian devil facial tumour disease antigen discovery for vaccine development. The RepeatMasker package was used to identify repeat elements on the Tasmanian devil's whole-genome sequence (mSarHar1.11). This was generated as part of a published study (https://doi.org/10.1126/science.abq6453).
DOI: 10.25959/2qxg-1j72
title: Material from PhD thesis: Appendix C-7 List of identified peptides and synthetic peptides

description: This dataset contains supplemental material as part of a PhD thesis: Development of Novel Diagnostic Tools and Antigen Discovery for Devil Facial Tumour Disease. 

The material contains a full list of peptides identified in Tasmanian devil healthy tissue and DFT1 and DFT2 immunopeptidomes with a false discovery rate (FDR) of 5%. The raw data were generated as part of a published study (https://doi.org/10.1111/imm.13307). Peptides were identified via the database search pipeline using PEAKS® Studio (Bioinformatics Solutions Inc). The list consists of peptides identified from the Tasmanian devil's reference proteomes and the list of long-terminal repeats (LTRs) derived from endogenous retroviral elements (ERVs). The dataset also contains the peptide abundance.
DOI: 10.15468/dl.nwtkfk
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Mayotte",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012143-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25959/q9j5-kj07
title: Material from PhD thesis: Appendix C-8 Mirror plots for likely misidentified LTR peptides

description: This dataset contains supplemental material as part of a PhD thesis: Development of Novel Diagnostic Tools and Antigen Discovery for Devil Facial Tumour Disease. 

The material contains a list of mirror plots comparing mass spectra between experimental (top) and synthetic (bottom) peptides. These plots show LTR candidates that were likely a result of misidentification. The raw data were generated as part of a published study (https://doi.org/10.1111/imm.13307). Peptides were identified via the database search pipeline using PEAKS® Studio (Bioinformatics Solutions Inc). Pearson correlation coefficient was then calculated for each comparison.
DOI: 10.5287/ora-g7mrxgeej
title: Dataset: tests of a finite-element implementation of the nonlinear Fokker-Planck collision operator

description: Data and plots created in the course of studying a finite element implementation of the nonlinear Fokker-Planck collision operator for charged particle collisions in a low density plasma. Created with the Julia-based code "moment_kinetics" https://github.com/mabarnes/moment_kinetics.

This work was supported by the United Kingdom Atomic Energy Authority ExCALIBUR programme grant. The ExCALIBUR programme (https://excalibur.ac.uk/) is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and EPSRC in partnership with the Public Sector Research Establishment, the United Kingdom Atomic Energy Authority and UKRI research councils, including NERC, MRC and STFC.

This work was supported by the U.S. Department of Energy under contract number DE-AC02-09CH11466.
 The United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license
 to publish or reproduce the published form of this manuscript, or allow others to do so,
 for United States Government purposes.

This work has been carried out within the framework of the EUROfusion Consortium,
 funded by the European Union via the Euratom Research and Training Programme 
 (Grant Agreement No 101052200 — EUROfusion). Views and opinions expressed are however
 those of the author(s) only and do not necessarily reflect those of the European Union
 or the European Commission. Neither the European Union nor the European Commission
 can be held responsible for them.
DOI: 10.15468/dl.xk3z85
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Guadeloupe",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012144-241107131044228/datasets/export for details.