cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1199723.10fu
title: SH1199723.10FU

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/sh1199726.10fu
title: SH1199726.10FU

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/sh1199729.10fu
title: SH1199729.10FU

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/sh1199730.10fu
title: SH1199730.10FU

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/sh1199731.10fu
title: SH1199731.10FU

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/sh1199732.10fu
title: SH1199732.10FU

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/sh1199733.10fu
title: SH1199733.10FU

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: 10.25346/s6eecgix/crnq1m
title: msXV_028v_55_46.jpg
DOI: 10.25346/s6eecgix/rwlxab
title: msXV_028v_55_45.jpg
DOI: 10.25346/s6eecgix/nkgkif
title: msXV_028v_55_44.jpg
DOI: 10.25346/s6eecgix/qplxl0
title: msXV_028v_55_43.jpg
DOI: 10.25346/s6eecgix/pfcw7o
title: msXV_028v_55_42.jpg
DOI: 10.25346/s6eecgix/augxar
title: msXV_028v_55_41.jpg
DOI: 10.25346/s6eecgix/vhxelt
title: msXV_028v_55_40.jpg
DOI: 10.25346/s6eecgix/oky3w8
title: msXV_028v_55_39.jpg
DOI: 10.15468/dl.7s9fy6
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon",
 "HasCoordinate is true",
 "Country is Denmark"
 ]
}

 The dataset includes 781 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006940-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/q95csn
title: msXV_028v_55_38.jpg
DOI: 10.25346/s6eecgix/qhbjvy
title: msXV_028v_46_37.jpg
DOI: 10.15468/dl.t4apse
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tellinella virgata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 167 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006941-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/bjyqtj
title: msXV_028v_46_36.jpg
DOI: 10.25346/s6eecgix/xmzkct
title: msXV_028v_46_35.jpg
DOI: 10.25346/s6eecgix/ovzhmi
title: msXV_028v_46_34.jpg
DOI: 10.25346/s6eecgix/fqwjvz
title: msXV_028v_46_33.jpg
DOI: 10.25346/s6eecgix/ohzgn2
title: msXV_028v_46_32.jpg
DOI: 10.25346/s6eecgix/ocrqcn
title: msXV_028v_46_31.jpg
DOI: 10.25346/s6eecgix/ybqr1l
title: msXV_028v_46_30.jpg
DOI: 10.25346/s6eecgix/3klcdm
title: msXV_028v_46_29.jpg
DOI: 10.25346/s6eecgix/byhglj
title: msXV_028v_46_28.jpg
DOI: 10.25346/s6eecgix/o6novx
title: msXV_028v_46_27.jpg
DOI: 10.25346/s6eecgix/dvvblq
title: msXV_028v_46_26.jpg
DOI: 10.15468/dl.kn4sax
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diaphorina citri",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 509 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008687-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjqw23
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthosaura rubrilabris Liu, Rao, Hou, Orlov, Ananjeva, Zhang & Zhang, 2022"
 ]
}

 The dataset includes 133 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056448-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjnp4w
title: Occurrence Download

description: A dataset containing 123934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is KWT",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 123934 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056443-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jekn6
title: Occurrence Download

description: A dataset containing 190947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charadrius alexandrinus Linnaeus, 1758",
 "Year 2020-2025"
 ]
}

 The dataset includes 190947 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056447-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28137113
title: Exchange Rate and Living Condition Data - Update.xlsx

description: Contains both the primary and secondary data used for the research
DOI: 10.15468/dl.dnz4vs
title: Occurrence Download

description: A dataset containing 152287310 species occurrences available in GBIF matching the query:
{
 "Continent" : [
 "is Asia"
 ]
}

 The dataset includes 152287310 records from 11472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056395-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16876870
title: Spanish preference weights dataset for the ASCOT-SCT4

description: This dataset comprises two files: a variable dictionary and a CSV file containing responses from the Spanish general population to questions about hypothetical situations of care needs, based on the dimensions of the ASCOT-SCT4 instrument, together with demographic and socioeconomic information. The data were used to develop Spanish preference weights for the Adult Social Care Outcomes Toolkit Four-Level Self-Completion Tool (ASCOT-SCT4) and to propose a mapping function for converting these weights into utilities for estimating quality-adjusted life years in social care. The dataset includes responses from at least 1,000 individuals, recruited through an online panel provided by Nexo Soc. Coop. The sample is representative of the Spanish adult population in terms of age, gender, and region.
description: Description of methods used for collection/generation of data: An online panel (provided by Nexo Soc. Coop. And) was used to recruit a sample of at least 1,000 people between October and November 2023. The sample was representative of the Spanish adult population in terms of age, gender and region. The questionnaire was divided into four sections. In the first section, the aim of the study and the domains of the ASCOT instrument were explained. In the second section, the respondent was asked to rate eight social care-related quality of life (SCRQoL) states using the Best-Worst Scaling  method. In the third section, respondents were asked to rate four SCRQoL states using the composite Time Trade-Off method. Finally, information related to the participant’s socioeconomic characteristics was collected. 

Methods for processing the data: For BWS data, we first used a multinomial logit (MNL) model to estimate the coefficients of the domain levels. After that, we applied a scale MNL (S-MNL) model to get more reliable and consistent preference estimates. As scale factors, four dichotomous variables (0/1) were used: gender (=1 if male), age (=1 if older than 65 years), dependency (=1 if the respondent was dependent or lived with a dependent person) and time to complete the BWS questionnaire (=1 if duration ≤ 640 seconds). We used Control-4 (I have no control over my daily life) as the reference level. The models were estimated using maximum likelihood with BIOGEME. For the cTTO data, the mean of the thirty-three scored states was obtained using the methodology described above. To convert the latent BWS scores into utility scores, a mapping function was obtained by estimating a linear function between latent BWS scores and cTTO utilities; i.e. cTTOi =  f (BWSi) + εi, where cTTOi was the mean value obtained for state i when the cTTO method was applied, and BWSi was the estimated value of state i resulting from the application of the estimated BWS model (S-MNL). 
description: Research funded by Fundación Caser
DOI: 10.5281/zenodo.17298039
title: Spanish preference weights dataset for the ASCOT-SCT4

description: This dataset comprises two files: a variable dictionary and a CSV file containing responses from the Spanish general population to questions about hypothetical situations of care needs, based on the dimensions of the ASCOT-SCT4 instrument, together with demographic and socioeconomic information. The data were used to develop Spanish preference weights for the Adult Social Care Outcomes Toolkit Four-Level Self-Completion Tool (ASCOT-SCT4) and to propose a mapping function for converting these weights into utilities for estimating quality-adjusted life years in social care. The dataset includes responses from at least 1,000 individuals, recruited through an online panel provided by Nexo Soc. Coop. The sample is representative of the Spanish adult population in terms of age, gender, and region.
description: Description of methods used for collection/generation of data: An online panel (provided by Nexo Soc. Coop. And) was used to recruit a sample of at least 1,000 people between October and November 2023. The sample was representative of the Spanish adult population in terms of age, gender and region. The questionnaire was divided into four sections. In the first section, the aim of the study and the domains of the ASCOT instrument were explained. In the second section, the respondent was asked to rate eight social care-related quality of life (SCRQoL) states using the Best-Worst Scaling  method. In the third section, respondents were asked to rate four SCRQoL states using the composite Time Trade-Off method. Finally, information related to the participant’s socioeconomic characteristics was collected. 

Methods for processing the data: For BWS data, we first used a multinomial logit (MNL) model to estimate the coefficients of the domain levels. After that, we applied a scale MNL (S-MNL) model to get more reliable and consistent preference estimates. As scale factors, four dichotomous variables (0/1) were used: gender (=1 if male), age (=1 if older than 65 years), dependency (=1 if the respondent was dependent or lived with a dependent person) and time to complete the BWS questionnaire (=1 if duration ≤ 640 seconds). We used Control-4 (I have no control over my daily life) as the reference level. The models were estimated using maximum likelihood with BIOGEME. For the cTTO data, the mean of the thirty-three scored states was obtained using the methodology described above. To convert the latent BWS scores into utility scores, a mapping function was obtained by estimating a linear function between latent BWS scores and cTTO utilities; i.e. cTTOi =  f (BWSi) + εi, where cTTOi was the mean value obtained for state i when the cTTO method was applied, and BWSi was the estimated value of state i resulting from the application of the estimated BWS model (S-MNL). 
description: Research funded by Fundación Caser
DOI: 10.15468/dl.am2ts2
title: Occurrence Download

description: A dataset containing 7561 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données chiroptères"
 ]
}

 The dataset includes 7561 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259172-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8tfie
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nicaragua",
 "TaxonKey is Lithobates taylori (Smith, 1959)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012327-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zv3vb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlamyphorus retusus Burmeister, 1863"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016128-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9htyra
title: Occurrence Download

description: A dataset containing 3333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mergus serrator Linnaeus, 1758",
 "Year 2011-2018"
 ]
}

 The dataset includes 3333 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237607-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dte0p0
title: Occurrence Download

description: A dataset containing 145972 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens glandulifera Royle"
 ]
}

 The dataset includes 145972 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012327-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wbjuu
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cremanthodium stenoglossum Y.Ling & S.W.Liu"
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268077-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ouhfw5
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.52429 12.98718,-82.47571 12.98718,-82.47571 25.01282,-112.52429 25.01282,-112.52429 12.98718))",
 "HasCoordinate is true",
 "TaxonKey is Crotalus intermedius Troschel, 1865",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 112 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012328-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q24srp
title: Occurrence Download

description: A dataset containing 21886 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum verticillatum L."
 ]
}

 The dataset includes 21886 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225918-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u4epg
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Senecio arachnanthus Franch."
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271530-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.