cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9p2zce
title: Occurrence Download

description: A dataset containing 374533634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 374533634 records from 6128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002296-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt77md
title: Occurrence Download

description: A dataset containing 4812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.2 36.6,-121.5 36.6,-121.5 37,-122.2 37,-122.2 36.6))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)",
 "Year 2024-2025"
 ]
}

 The dataset includes 4812 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007595-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4mdkc
title: Occurrence Download

description: A dataset containing 2910 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is Europe",
 "Continent is Asia",
 "Continent is Africa"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Alisma lanceolatum With."
 ]
}

 The dataset includes 2910 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236937-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddyyvi
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003719-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw6778
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris bostrensis Mouterde"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034189-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lhmrih
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081152-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mhb4f
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kadua laxiflora H.Mann"
 ]
}

 The dataset includes 97 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034186-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dl3a4o
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037775-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edwwa9
title: Occurrence Download

description: A dataset containing 726160235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Animalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 726160235 records from 12072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018169-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1409683.10fu
title: SH1409683.10FU

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/sh1409688.10fu
title: SH1409688.10FU

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/sh1409693.10fu
title: SH1409693.10FU

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.hvhmhg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.263_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006273-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1409697.10fu
title: SH1409697.10FU

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/sh1409698.10fu
title: SH1409698.10FU

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/sh1409699.10fu
title: SH1409699.10FU

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/sh1409704.10fu
title: SH1409704.10FU

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.yxyyr9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Streptopelia decipiens)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085963-250717081556266/datasets/export for details.
DOI: 10.15468/dl.xw4t7h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceblepyris cucullatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085965-250717081556266/datasets/export for details.
DOI: 10.17632/7j8bvw2w4d
title: 3D Meltblowing Elastollan Thermoplastic Polyurethane Scaffolds for Musculoskeletal Tissue Engineering

description: The intricate interactions between the 3DMB fiber formation and collection parameters and their influence on the morphological, mechanical, and biofunctional attributes of scaffolds have previously been analyzed for polyesters including polycaprolactone (PCL) and polylactic acid (PLA). While these materials are widely used in tissue engineering research, they have relatively high stiffness and tend to undergo permanent deformation under repetitive loading, which limits their suitability for musculoskeletal soft tissue applications. These tissues experience constant dynamic loading that necessitate them to be elastic and flexible to effectively dissipate these forces. Herein, thermoplastic polyurethane (TPU) elastomers can serve as excellent alternatives to the typical polyesters. TPUs can offer a combination of favorable attributes including low cytotoxicity, high wear and abrasion resistance, high elongation at failure, and moderate tensile and compressive moduli. Being thermoplastics, TPUs exhibit excellent processability, rendering them promising candidates for various biofabrication techniques based on melting. Elastollan®, a commercially widely used TPU, demonstrates exceptional mechanical properties, flexibility and wear resistance. Despite possessing suitable properties for biomedical applications, its exploration in tissue engineering has been very limited.
This is the first study to investigate the 3DMB of Elastollan® scaffolds for musculoskeletal soft tissue applications. The primary goal was to comprehensively characterize the effects of three key 3DMB parameters – DCD, FDO and SVC – on the fiber-pore microarchitecture of Elastollan
scaffolds and their ensuing mechanical and biofunctional properties.
DOI: 10.17632/7j8bvw2w4d.1
title: 3D Meltblowing Elastollan Thermoplastic Polyurethane Scaffolds for Musculoskeletal Tissue Engineering

description: The intricate interactions between the 3DMB fiber formation and collection parameters and their influence on the morphological, mechanical, and biofunctional attributes of scaffolds have previously been analyzed for polyesters including polycaprolactone (PCL) and polylactic acid (PLA). While these materials are widely used in tissue engineering research, they have relatively high stiffness and tend to undergo permanent deformation under repetitive loading, which limits their suitability for musculoskeletal soft tissue applications. These tissues experience constant dynamic loading that necessitate them to be elastic and flexible to effectively dissipate these forces. Herein, thermoplastic polyurethane (TPU) elastomers can serve as excellent alternatives to the typical polyesters. TPUs can offer a combination of favorable attributes including low cytotoxicity, high wear and abrasion resistance, high elongation at failure, and moderate tensile and compressive moduli. Being thermoplastics, TPUs exhibit excellent processability, rendering them promising candidates for various biofabrication techniques based on melting. Elastollan®, a commercially widely used TPU, demonstrates exceptional mechanical properties, flexibility and wear resistance. Despite possessing suitable properties for biomedical applications, its exploration in tissue engineering has been very limited.
This is the first study to investigate the 3DMB of Elastollan® scaffolds for musculoskeletal soft tissue applications. The primary goal was to comprehensively characterize the effects of three key 3DMB parameters – DCD, FDO and SVC – on the fiber-pore microarchitecture of Elastollan
scaffolds and their ensuing mechanical and biofunctional properties.
DOI: 10.15468/dl.2k48n6
title: Occurrence Download

description: A dataset containing 128552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((38.78892 -6.25773,38.57866 -6.21545,37.69367 -6.28625,37.16858 -6.36295,36.84999 -6.54584,36.73576 -6.8569,36.70036 -7.08699,36.75346 -7.44951,36.94226 -7.7799,37.70924 -7.774,38.32283 -7.52031,38.80662 -7.09552,39.04262 -6.83002,39.10752 -6.66482,39.08392 -6.57633,38.88922 -6.45243,38.78892 -6.25773))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 128552 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078155-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12994.17607
title: Drug Treatment 16-10-21
DOI: 10.13140/rg.2.2.24777.54884
title: adfm201602231-sup-0001-S1-On the Origin of Hysteresis in Perovskite Solar Cells
DOI: 10.13140/rg.2.2.18695.80801
title: Climate change will increase lightning strikes: IITM Study
DOI: 10.15468/dl.2v4knc
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphis cytisorum",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025224-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id171.1
title: StrainInfo SI-ID 171.1

description: StrainInfo dataset 171 about a strain of Acinetobacter baumannii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id172.1
title: StrainInfo SI-ID 172.1

description: StrainInfo dataset 172 about a strain of Acinetobacter baumannii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id173.1
title: StrainInfo SI-ID 173.1

description: StrainInfo dataset 173 about a strain of Acinetobacter baumannii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id269.1
title: StrainInfo SI-ID 269.1

description: StrainInfo dataset 269 about a strain of Acinetobacter bereziniae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id270.1
title: StrainInfo SI-ID 270.1

description: StrainInfo dataset 270 about a strain of Acinetobacter bereziniae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id271.1
title: StrainInfo SI-ID 271.1

description: StrainInfo dataset 271 about a strain of Acinetobacter guillouiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id272.1
title: StrainInfo SI-ID 272.1

description: StrainInfo dataset 272 about a strain of Acinetobacter guillouiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id64.1
title: StrainInfo SI-ID 64.1

description: StrainInfo dataset 64 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id65.1
title: StrainInfo SI-ID 65.1

description: StrainInfo dataset 65 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.