cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive115000.20241212.9.2
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/sh0106884.10fu
title: SH0106884.10FU

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/bacdive115000.20251217.10
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/bacdive115001.20241212.9.2
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/sh0106885.10fu
title: SH0106885.10FU

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/bacdive115001.20251217.10
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/sh0106886.10fu
title: SH0106886.10FU

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: 10.25326/427
title: Total deposition flux of insoluble atmospheric particles, Bambey, Senegal

description: Total deposition flux of insoluble atmospheric particles is collected with a passive collector of an inverted “Frisbee” shape (Hall and Waters, 1986; Hall and Upton, 1988), equipped with a flow deflector ring, as tested by Wiggs et al. (2002) and full with marbles to limit dust resuspension and rain splashing. The "Frisbee" collector is located at 6.3 m height. The samples are collected manually with a weekly time-step. In case of rainfall during the rainy season, water and deposited particles are collected in a 5-litter bottle connected to the bottom of the sampler. The collection procedure is decomposed into three main phases: (1) rinsing with a large volume of water, (2) decantation during more than 6 hours and siphoning of excess water; (3) drying in an oven at 70°C until complete water evaporation. The collected dust is finally weighed in a pre-weighted pillbox with a balance having a precision of 0.0001 g. Total deposition flux of insoluble atmospheric particles is expressed as g/m² per sampling period and as g/m²/day by dividing the collected mass by surface of collection and sampling duration (dates of start and end of sampling are given in the data files in UTC). Fluxes are given after subtracting blanks; the blank value is given in the header of each file.
DOI: 10.5281/zenodo.15131619
title: Data of manuscript "Effect of choline chloride-based DES on the pore-forming ability and properties of PVDF membranes prepared with triethyl phosphate as green solvent" in Polymers, MDPI (2025)

description: Data of the manuscript: 

Title: Effect of choline chloride-based DES on the pore-forming ability and properties of PVDF membranes prepared with triethyl phosphate as green solvent

Authors: Alejandro Gálvez-Subiela, Ramón Jiménez-Robles, Jose David Badia-Valiente, Marta Izquierdo and Amparo Chafer

Affiliation: Research Group in Materials Technology and Sustainability (MATS), Department of Chemical Engineering, School of Engineering, University of Valencia, Avda. Universitat s/n, 46100 Burjassot, Spain.

Journal: Polymers (MDPI), 2025 (open access).

Additional information

For further information beyond the details in the manuscript please contact: alejandro.galvez@uv.es; marta.izquierdo-sanchis@uv.es; amparo.chafer@uv.es

Funding: This research is part of the projects TED2021-131276 A-I00 and PID2021-122495 OA-I00 funded by MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR and MCIN/AEI/10.13039/501100011033 and FEDER, UE, respectively. The PhD grant for R. Jiménez-Robles was funded by Ministerio de Universidades, Spain (Beca de Formación de Profesorado Universitario FPU19/02478).
DOI: 10.5281/zenodo.15131620
title: Data of manuscript "Effect of choline chloride-based DES on the pore-forming ability and properties of PVDF membranes prepared with triethyl phosphate as green solvent" in Polymers, MDPI (2025)

description: Data of the manuscript: 

Title: Effect of choline chloride-based DES on the pore-forming ability and properties of PVDF membranes prepared with triethyl phosphate as green solvent

Authors: Alejandro Gálvez-Subiela, Ramón Jiménez-Robles, Jose David Badia-Valiente, Marta Izquierdo and Amparo Chafer

Affiliation: Research Group in Materials Technology and Sustainability (MATS), Department of Chemical Engineering, School of Engineering, University of Valencia, Avda. Universitat s/n, 46100 Burjassot, Spain.

Journal: Polymers (MDPI), 2025 (open access).

Additional information

For further information beyond the details in the manuscript please contact: alejandro.galvez@uv.es; marta.izquierdo-sanchis@uv.es; amparo.chafer@uv.es

Funding: This research is part of the projects TED2021-131276 A-I00 and PID2021-122495 OA-I00 funded by MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR and MCIN/AEI/10.13039/501100011033 and FEDER, UE, respectively. The PhD grant for R. Jiménez-Robles was funded by Ministerio de Universidades, Spain (Beca de Formación de Profesorado Universitario FPU19/02478).
DOI: 10.15468/dl.2hgkro
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Borror Lab of Bioacoustics (BLB), Ohio State University"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018328-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4am9xq
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Lampetra reissneri (Dybowski, 1869)",
 "TaxonKey is Lampetra morii Berg, 1931"
 ]
 }
 ]
}

 The dataset includes 421 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212654-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhzgxx
title: Occurrence Download

description: A dataset containing 17559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geothlypis poliocephala S.F.Baird, 1865"
 ]
}

 The dataset includes 17559 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018329-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0y4hdh
title: Occurrence Download

description: A dataset containing 768 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus obtusiflora DC."
 ]
}

 The dataset includes 768 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018330-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg6sxr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis praecox (Lange) Sennen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046052-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v784u
title: Occurrence Download

description: A dataset containing 5924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cetorhinus maximus (Gunnerus, 1765)"
 ]
}

 The dataset includes 5924 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212655-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfubbj
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Senegal",
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018333-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrjr6d
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Medicago falcata L."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154348-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mczocq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Revision of Ogdoecosta Spaeth 1909 with description of Ogdoecosta paraflavomaculata López-Pérez, sp. nov. (Coleoptera: Chrysomelidae: Cassidinae: Mesomphaliini)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018333-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dedq4
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mizuhopecten yessoensis (Jay, 1857))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 223 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048969-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vapava
title: Occurrence Download

description: A dataset containing 3160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rapistrum rugosum (L.) All."
 ]
}

 The dataset includes 3160 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179165-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7jbxa
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lemna perpusilla Torr."
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184114-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lgioyi
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Drosera peruensis T.R.S.Silva & M.D.Correa",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018334-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vz2pg
title: Occurrence Download

description: A dataset containing 2634 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora species from the Sectoral Plan of the Natura 2000 (Polygons)"
 ]
}

 The dataset includes 2634 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262095-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3v0dl
title: Occurrence Download

description: A dataset containing 4895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1937-2019",
 "TaxonKey is Eubalaena glacialis (Müller, 1776)"
 ]
}

 The dataset includes 4895 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018334-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpqg4e
title: Occurrence Download

description: A dataset containing 17729910 species occurrences available in GBIF matching the query:
{
 "Continent" : [
 "is South America"
 ]
}

 The dataset includes 17729910 records from 2388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0424248-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1138641.10fu
title: SH1138641.10FU

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/sh1138644.10fu
title: SH1138644.10FU

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/sh1138647.10fu
title: SH1138647.10FU

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/sh1138650.10fu
title: SH1138650.10FU

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/sh1138651.10fu
title: SH1138651.10FU

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/sh1138652.10fu
title: SH1138652.10FU

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.