cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0166337.10fu
title: SH0166337.10FU

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/sh0166338.10fu
title: SH0166338.10FU

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/sh0166339.10fu
title: SH0166339.10FU

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: 10.11583/dtu.29500682.v6
title: Dataset from The Danish Food Composition Database, Frida version 5.3

description: <b>Dataset and Documentation of Frida: The Danish Food Composition Database</b>Documentation for the database is available in Danish and English. The dataset contains several worksheets with the following tables:Readme - Information on copyright and citationData_Table - Main table with all published nutrient data on all foodsData_Normalised - All published nutrient data on all foods normalized with source/referencesFood - Food description including FoodEx2, LanguaL and other codesFoodGroup - Foodgroup description and hierarchyParameter - Food description including chemical data, EuroFIR and EFSA codes and identifiers for other databasesSource - Information on references including URL<b>How to refer to this dataset?</b>Marija Langwagen, Jette Jacobsen, Tue Christensen and Anders Poulsen: The Danish Food Composition Database, Frida version 5.3, November 2024, National Food Institute, Technical University of Denmark. https://doi.org/10.11583/DTU.29500682<b>List of individual files and licenses:</b>Frida5.3_Dataset.xlsx - CC-BY 4.0Frida5.3_Dataset.ods - CC-BY 4.0Frida5.3_Dokumentation_Dansk.pdf - © Technical University of Denmark 2024Frida5.3_Documentation_English.pdf - © Technical University of Denmark 2024
DOI: 10.15156/bio/sh0166340.10fu
title: SH0166340.10FU

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/sh0166341.10fu
title: SH0166341.10FU

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/sh0166342.10fu
title: SH0166342.10FU

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: 10.17632/s2x8ypdsps
title: What I wish my doctor knew: The lived experience of chronic pain delivery in Prince Edward Island, Canada

description: Chronic pain (CP) affects approximately one in five Canadians and poses substantial physical, emotional, and economic burdens. In Prince Edward Island (PEI), Canada’s smallest province, CP care is shaped by unique challenges related to population growth, physician shortages, and regional healthcare disparities. This mixed-methods, cross-sectional study aimed to characterize the experiences of PEI residents living with CP and identify opportunities for improving care delivery in under-resourced settings. A total of 351 adult respondents completed an anonymous web-based survey from February to April 2024. Quantitative data were analyzed using descriptive and non-parametric statistical methods, while qualitative data underwent thematic analysis using Braun and Clarke’s framework. Most respondents reported high pain intensity and disability (median Graded Chronic Pain Scale: Grade III). Subgroups identifying as female, disabled, or BIPOC experienced significantly greater pain-related burden. Despite widespread use of multimodal therapies, wait times for CP care were prolonged, with many respondents relying on family physicians or nurse practitioners for management; however, those without consistent providers experienced significantly greater pain and disability. Opioid use was common but appeared to be inconsistently guided by best-practice counselling. Thematic analysis revealed pervasive feelings of dismissal, systemic fragmentation, and barriers to accessing specialist services. However, positive care experiences were linked to empathetic communication, collaborative planning, and personalized support. Key recommendations include expanding multidisciplinary care, improving opioid prescribing practices, enhancing provider communication, and establishing peer support networks. These findings underscore the need for coordinated, patient-centered reform in CP management within PEI and may inform similar strategies in other under-resourced jurisdictions.
DOI: 10.15156/bio/sh0166343.10fu
title: SH0166343.10FU

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: 10.17632/s2x8ypdsps.1
title: What I wish my doctor knew: The lived experience of chronic pain delivery in Prince Edward Island, Canada

description: Chronic pain (CP) affects approximately one in five Canadians and poses substantial physical, emotional, and economic burdens. In Prince Edward Island (PEI), Canada’s smallest province, CP care is shaped by unique challenges related to population growth, physician shortages, and regional healthcare disparities. This mixed-methods, cross-sectional study aimed to characterize the experiences of PEI residents living with CP and identify opportunities for improving care delivery in under-resourced settings. A total of 351 adult respondents completed an anonymous web-based survey from February to April 2024. Quantitative data were analyzed using descriptive and non-parametric statistical methods, while qualitative data underwent thematic analysis using Braun and Clarke’s framework. Most respondents reported high pain intensity and disability (median Graded Chronic Pain Scale: Grade III). Subgroups identifying as female, disabled, or BIPOC experienced significantly greater pain-related burden. Despite widespread use of multimodal therapies, wait times for CP care were prolonged, with many respondents relying on family physicians or nurse practitioners for management; however, those without consistent providers experienced significantly greater pain and disability. Opioid use was common but appeared to be inconsistently guided by best-practice counselling. Thematic analysis revealed pervasive feelings of dismissal, systemic fragmentation, and barriers to accessing specialist services. However, positive care experiences were linked to empathetic communication, collaborative planning, and personalized support. Key recommendations include expanding multidisciplinary care, improving opioid prescribing practices, enhancing provider communication, and establishing peer support networks. These findings underscore the need for coordinated, patient-centered reform in CP management within PEI and may inform similar strategies in other under-resourced jurisdictions.
DOI: 10.15156/bio/sh0166344.10fu
title: SH0166344.10FU

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.5awfkj
title: Occurrence Download

description: A dataset containing 7806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 7806 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275326-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frkvu4
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 314 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292654-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysnseq
title: Occurrence Download

description: A dataset containing 13694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prospero Salisb."
 ]
}

 The dataset includes 13694 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009695-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.342ftq
title: Occurrence Download

description: A dataset containing 3672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Conopias cinchoneti (Tschudi, 1844))",
 "DecimalLatitude is greater than or equal to -20.85",
 "DecimalLatitude is less than or equal to 2.46666666666667",
 "DecimalLongitude is greater than or equal to -83.8333333333333",
 "DecimalLongitude is less than or equal to -66.15"
 ]
}

 The dataset includes 3672 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324221-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x7u7x
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinonatrix percarinata (Boulenger, 1899)"
 ]
}

 The dataset includes 499 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309254-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjifsa
title: Occurrence Download

description: A dataset containing 115349 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample"
 ]
 },
 "Geometry POLYGON((-90.35156 1.40611,-87.53906 -30.75128,-78.39844 -61.6064,-58.00781 -59.17593,-46.05469 -38.27269,-24.25781 -11.86735,-45.35156 9.1021,-72.77344 17.30869,-90.35156 1.40611))",
 "HasCoordinate is true",
 "TaxonKey is Rodentia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 115349 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009700-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxwwtg
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Prionailurus bengalensis (Kerr, 1792)"
 ]
}

 The dataset includes 44 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007969-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra9s9p
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuora flavomarginata (Gray, 1863)"
 ]
}

 The dataset includes 291 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309257-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxc3wg
title: Occurrence Download

description: A dataset containing 33707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.9_1",
 "Year 2019-2024"
 ]
}

 The dataset includes 33707 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051343-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6j6x8p
title: Occurrence Download

description: A dataset listing the 106 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal Netherlands Institute for Sea Research (NIOZ) - Kom Fyke Mokbaai"
 ]
}

 The dataset's 106 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005565-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdqbwo
title: Occurrence Download

description: A dataset containing 2665 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Mephitidae"
 ]
}

 The dataset includes 2665 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009700-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjjzfa
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.362 28.995,-112.245 28.995,-112.245 29.116,-112.362 29.116,-112.362 28.995))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 461 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219279-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkjxtr
title: Occurrence Download

description: A dataset containing 4467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloysia gratissima (Gillies & Hook.) Tronc."
 ]
}

 The dataset includes 4467 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315087-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyuec5
title: Occurrence Download

description: A dataset containing 10265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteris vittata L."
 ]
}

 The dataset includes 10265 records from 330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297044-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmdr8b
title: Occurrence Download

description: A dataset containing 271434 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Hungary"
 ]
}

 The dataset includes 271434 records from 666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009700-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1lc-2w5-1ex
title: Phlegmariurus phlegmarioides (Gaudich.) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/88f-fwq-ckt
title: Phlegmariurus phlegmarioides (Gaudich.) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ae5-7x3-b22
title: Acacia newbeyi Maslin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2vj-djt-00y
title: Achillea atrata L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6z5-9vx-hpa
title: Acacia

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/t1w-95p-792
title: Achillea atrata L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ycn-d3l-9mw
title: Achillea clavennae L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.